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Journal articles on the topic 'Cluster Resource Centre'
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Hadikusuma, Ridwan Satrio, Lukas Lukas, and Karel Octavianus Bachri. "Survey Paper: Optimization and Monitoring of Kubernetes Cluster using Various Approaches." Sinkron 8, no. 3 (2023): 1357–65. http://dx.doi.org/10.33395/sinkron.v8i3.12424.
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This research compares different methods for optimizing and monitoring Kubernetes clusters. Three referenced journals are analyzed: "Kubernetes cluster optimization using hybrid shared-state scheduling framework" by Oana-Mihaela Ungureanu, Călin Vlădeanu, Robert Kooij; "Monitoring Kubernetes Clusters Using Prometheus and Grafana" by Salma Rachman Dira, Muhammad Arif Fadhly Ridha; and "Cluster Frameworks for Efficient Scheduling and Resource Allocation in Data Center Networks: A Survey" by Kun Wang, Qihua Zhou, Song Guo, and Jiangtao Luo. These journals explore various approaches to optimizing and monitoring Kubernetes clusters. This review concludes that selecting appropriate technologies for optimizing and monitoring Kubernetes clusters can enhance performance and resource management efficiency in data centre networks. The research addresses the problem of improving Kubernetes cluster performance through optimization and efficient monitoring. The required methods include utilizing hybrid state-sharing scheduling frameworks, implementing Prometheus and Grafana for monitoring, and employing efficient cluster frameworks. The study's findings demonstrate that adopting a hybrid shared-state scheduling framework can improve Kubernetes cluster performance. Additionally, leveraging Prometheus and Grafana as monitoring tools offer valuable insights into cluster health and performance. The survey also reveals various cluster frameworks that enable efficient scheduling and resource allocation in data centre networks. In conclusion, this research emphasizes the significance of employing suitable technologies to optimize and monitor Kubernetes clusters, leading to enhanced performance and efficient resource management in data centre networks. By leveraging appropriate scheduling frameworks and monitoring tools, organizations can optimize their utilization of Kubernetes clusters and ensure efficient resource allocation
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Lokesh, Prasad Dash. "Strengthening Cluster Resource Centre (CRC) As a Forum for Continuous Teacher Development: My Experience in Mayurbhanj District, Odisha, India." International Journal of Research and Review 6, no. 4 (2019): 147–52. https://doi.org/10.5281/zenodo.3989088.
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To bring about qualitative improvement in education, Cluster Resource Centres (CRCs) were established in each block of every district under Sarva Shiksha Abhiyan to conduct in-service teacher training and to provide academic support to teachers and schools on a regular basis as well as to help in community mobilization activities. According to the previous researches, it was found that the functioning of these centres were far away from the reality due to lack of physical resources and overloaded administrative responsibilities of the Cluster Resource Centre Coordinators (CRCCs). The situation of these Cluster Resource Centres in Odisha and especially in Mayurbhanj district was also not encouraging. There was hardly any scope for Monthly Sharing Meetings (MSMs) at the clusters. The deteriorating situation of these Cluster Resource Centres and absence of scope for continuous capacity building of teachers prompted CARE India (an International Development Organisation) to intervene in the district. It tested an innovation to revive the Cluster Resource Centres and to convert them in to a continuous teacher development forum. This in turn enhanced the reading skill of the children in the intervened schools. The results mentioned here are clearly reflected in the end-line assessment report conducted by a Delhi based research agency named “KAARAK”.
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Yan, Kuo Qin, Shu Ching Wang, Chin Shan Peng, and Shun Sheng Wang. "A Centre Clustering Mechanism of Wireless Sensor Network." Applied Mechanics and Materials 479-480 (December 2013): 763–67. http://dx.doi.org/10.4028/www.scientific.net/amm.479-480.763.
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A Wireless Sensor Network (WSN) consists of spatially distributed autonomous devices which use sensor nodes (SNs) to monitor physical or environmental conditions cooperatively. However, the SN is limited by the energy resource, the memory, the computation, the communication capability, etc. Therefore, the hierarchical clustering topology has been proposed to prolong the lifetime of WSNs by decreasing the energy consumption of SNs. Unfortunately, the network topology is still unstable due to the workload of the cluster managers is overloading. However, in this study, a Centre Clustering Mechanism (CCM) underlying the center-based WSN is proposed to improve the stability of network topology, assists SN within the working area, and takes advantage of message exchange.
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Bührer, Felix, Anton Gamel, Benoit Roland, Ulrike Schnoor, and Markus Schumacher. "Integration of a heterogeneous compute resource in the ATLAS workflow." EPJ Web of Conferences 214 (2019): 07014. http://dx.doi.org/10.1051/epjconf/201921407014.
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With the ever-growing amount of data collected with the experiments at the Large Hadron Collider (LHC), the need for computing resources that can handle the analysis of this data is also rapidly increasing. This increase will even be amplified after upgrading to the High Luminosity LHC [1]. High-Performance Computing (HPC) and other cluster computing resources provided by universities can be useful supplements to the resources dedicated to the experiment as part of the Worldwide LHC Computing Grid (WLCG) for data analysis and production of simulated event samples. Freiburg is operating a combined Tier2/Tier3, the ATLAS-BFG [2]. The shared HPC cluster "NEMO" at the University of Freiburg has been made available to local ATLAS [3] users through the provisioning of virtual machines incorporating the ATLAS software environment analogously to the bare metal system of the local ATLAS Tier2/Tier3 centre. In addition to the provisioning of the virtual environment, the on-demand integration of these resources into the Tier3 scheduler in a dynamic way is described. In order to provide the external NEMO resources to the user in a transparent way, an intermediate layer connecting the two batch systems is put into place. This resource scheduler monitors requirements on the user-facing system and requests resources on the backend-system.
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Er., Rajdeep Kaur* Ms. Amanpreet Kaur. "CLUSTER-BASED DECENTRALIZED JOB DISPATCHING FOR THE LARGE-SCALE CLOUD." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 7 (2016): 1264–74. https://doi.org/10.5281/zenodo.58554.
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Cloud computing is characteristically distinct as a kind of computing that relies on distribution computing resources relatively than having restricted server or private device to switch applications. Cloud technology allows for the routine stipulation and denial of resource as and when it is essential, thus ensuring that the intensity of resource accessible is as strongly matched to current demand as possible. The research work of title “A Framework for implementing Load Balancing and Cluster-Based Decentralized dispatching policy across Virtual Machines in Cloud federations” is based on simulation. This research proposed a frame work on behalf of which a workload is distributed among virtual machines available at various User Bases residing at different Data Centers. The workload is dispersed depending on different policies such as Round Robin, Equally Spread Execution Load and Throttled. The work distribution can takes place depending on single policy at a time. The entire globe is divided into six regions i.e. R0, R1, R2, R3, R4 and R5. The single Data Center and User Base can belong to single region only. After placing the Data Center and User Base to a particular region, its configuration is figured out. User grouping in User Bases and Request grouping in Data centers are the two key features added in this work. Simultaneous users from a single user base forms a user grouping and simultaneous requests that a single server can support at a particular time forms a request grouping in data centers. On behalf of all the parameters response time and processing time is calculated in terms of MAX, MIN and AVG. The same is calculated on region basis also. On behalf of type and extent of hardware, its cost is also calculated in term of VM cost and data transfer cost. At last when simulation is over, overall response is generated and documentation can be achieved.
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Oladejo, A. S., A. O. Bolaji, I. O. Obisesan, and O. G. Omitogun. "SDS-Page characterization of some elite cowpea (Vigna unguiculata L. Walp) varieties." Nigerian Journal of Biotechnology 36, no. 2 (2020): 45–51. http://dx.doi.org/10.4314/njb.v36i2.6.
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The shortcomings of genotype x environment interaction necessitated the use of molecular methods in characterizing many plant species and in determining their phylogenetic relationships. In this study, some selected cowpea lines (27 varieties) from Obafemi Awolowo University, Ile – Ife, the Institute of Agricultural Research (IAR), Samaru, Kaduna and Genetic Resource Centre, IITA, Ibadan were characterized using sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE) profiling. The protein banding profiles of the 27 cowpea varieties were scored and subjected to cluster analysis using Ward's minimum-variance method (WMVM) for dendrogram grouping. The dendrogram generated from the SDS-PAGE profiles grouped the varieties into seven clusters at 52% similarity coefficient. Hence, the biochemical characterization revealed more precise discrimination among the 27 cowpea varieties studied.
 Keywords: Cowpea, electrophoretic banding profiles, dendrogram grouping, total proteins
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Кирьянова, Лилия, Liliya Kiryanova, Олег Ким, Oleg Kim, Константин Юматов, and Konstantin Yumatov. "Organization of the tourist information centre in the region on the basis of the University: the specificity and objectives." Servis Plus 10, no. 2 (2016): 26–33. http://dx.doi.org/10.12737/19455.
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The article is devoted to the creation of one of the main elements of the tourist destination marketing– tourist information center (TIC). In countries with high tourism development the TICs are integral to the promotion of each destination, in Russia at the moment there are only a few dozens. The authors point out main problems of creation and development of the TIC in Russia: harmonization of interests of founders, funding, functions. They are solved differently, depending on how they create the InfoCenter, which can be state or municipal institution, private profit organization, a public non-profit corporate structure or instrument of the Association of tourism enterprises. However, in specific domestic situations with limited development of the tourism market may the University may become the initiator and main driving force of TIC. The article discusses the unique successful experience of authors on creation of the particles on the basis of the University – the Tourist information centre of Kemerovo region on the basis of Kemerovo State University. It was created as a result of the interaction between structures of education, government, business, and business in the framework of the projects «Tempus» «Network of regional centers for tourism». The participants of the project (Kemerovo State University, Department of youth policy and sports of administration of the Kemerovo region and the Kuzbass Association of tourism industry) fonded the Regional resource centre of the tourism industry on the base of University. The resource center created and developed two important interrelated projects: «Tourist information centre of Kemerovo region» and «Strategy of development of tourist-recreational cluster of Kuzbass for the period up to 2025».
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singh, Harvinder, and Rakesh Chandra Gangwar. "Efficient Approach for Load Balancing in Virtual Cloud Computing Environment." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 10 (2014): 1204–10. https://doi.org/10.5281/zenodo.14759383.
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Cloud computing technology is changing the focus of IT world and it is becoming famous because of its great characteristics. Load balancing is one of the main challenges in cloud computing for distributing workloads across multiple computers or a computer cluster, network links, central processing units, disk drives, or other resources. Successful load balancing optimizes resource use, maximizes throughput, minimizes response time, and avoids overload. The objective of this paper to propose an approach for scheduling algorithms that can maintain the load balancing and provides better improved strategies through efficient job scheduling and modified resource allocation techniques. The results discussed in this paper, based on existing round robin, least connection, throttled load balance, fastest response time and a new proposed algorithm fastest with least connection scheduling algorithms. This new algorithm identifies the overall response time and data centre processing time is improved as well as cost is reduced in comparison to the existing scheduling parameters.
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Michaels, Cathryn P., Jesús Arjona Martínez, Romain Debroux, et al. "Multidimensional cluster states using a single spin-photon interface coupled strongly to an intrinsic nuclear register." Quantum 5 (October 19, 2021): 565. http://dx.doi.org/10.22331/q-2021-10-19-565.
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Photonic cluster states are a powerful resource for measurement-based quantum computing and loss-tolerant quantum communication. Proposals to generate multi-dimensional lattice cluster states have identified coupled spin-photon interfaces, spin-ancilla systems, and optical feedback mechanisms as potential schemes. Following these, we propose the generation of multi-dimensional lattice cluster states using a single, efficient spin-photon interface coupled strongly to a nuclear register. Our scheme makes use of the contact hyperfine interaction to enable universal quantum gates between the interface spin and a local nuclear register and funnels the resulting entanglement to photons via the spin-photon interface. Among several quantum emitters, we identify the silicon-29 vacancy centre in diamond, coupled to a nanophotonic structure, as possessing the right combination of optical quality and spin coherence for this scheme. We show numerically that using this system a 2×5-sized cluster state with a lower-bound fidelity of 0.5 and repetition rate of 65 kHz is achievable under currently realised experimental performances and with feasible technical overhead. Realistic gate improvements put 100-photon cluster states within experimental reach.
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Abushaikha, Ismail. "The influence of logistics clustering on distribution capabilities: a qualitative study." International Journal of Retail & Distribution Management 46, no. 6 (2018): 577–94. http://dx.doi.org/10.1108/ijrdm-01-2018-0018.
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PurposeThe purpose of this paper is to explore why and how firms with logistics-intensive operations such as fast-moving consumer good (FMCG) distributors benefit from residing in logistics clusters. In particular, this study seeks to fill a gap in the understanding of how logistics clustering may influence FMCG firms’ distribution capabilities.Design/methodology/approachThree case studies of FMCG distributors geographically agglomerated within Q Logistics Cluster in Jordan serve to elaborate the existing theory of clustering. Data were collected from 24 interviews as well as observational evidence of the FMCG distributors’ outbound logistics operations. The unit of analysis was the interaction between FMCG distributors and other agents in the logistics cluster.FindingsFMCG distributors tend to gravitate to clusters where logistics service providers and other FMCG firms co-locate. FMCG distributors interact intensively and benefit greatly from building ties with non-competitor distributors in a cluster. Informal personal relations, collaborative activities and knowledge sharing, learning opportunities and resource availability were found to act as mechanisms for generating distribution capabilities within a logistics cluster.Practical implicationsThis study provides practical implications for FMCG logistics and distribution managers who make distribution centre (DC) location decisions. The study provides such managers and their firms with a deeper understanding of the importance of co-locating DCs in logistics clusters, and may help them in designing their supply networks.Originality/valueThis is the first scholarly work to uncover the various ways in which FMCG distributors benefit from logistics clustering and explain why they may differ in performance, building on observations of their capabilities. The study provides insight from an emerging market and encourages future researchers to conduct further studies on logistics clustering in order to bring relevant theory forward.
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Rusko, Rauno. "Supply Chain Management in the Context of Economic Area." International Journal of Innovation in the Digital Economy 1, no. 1 (2010): 64–76. http://dx.doi.org/10.4018/jide.2010091504.
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This study introduces geographical viewpoints for supply chain management (SCM) focusing on the branch of information communication technology (ICT) in the case of city and region of Oulu. The City of Oulu is a remarkable planning and administration centre of ICT branch in Finland. In this study we—instead of using commonly used cluster or resource dependence theories—utilize SCM framework to describe the development and path-dependence of knowledge-intensive geographical area, which is specialized in high tech or actually ICT business. In the context of geographical analysis, or of geographical economics, SCM is less-used viewpoint. This case study shows that SCM, and especially strategic level SC endowment viewpoint (introduced initially in Rusko, Kylänen & Saari, 2009), is valuable and useful tool in analysing the geo-economic development and pathdependence of a high tech centre. As a result, we notice that the development of Oulu is based on the development of SC endowment connected with amounts of talents and also multi-dimensional coopetition. One essential result is the observed erosion in the SC endowment of high tech Oulu, which sets remarkable challenges for city planning.
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Manaf Noor Hazilah, Abd. "Practice follows structure: QM in Malaysian public hospitals." Measuring Business Excellence 13, no. 1 (2009): 23–33. http://dx.doi.org/10.1108/13683040910943027.
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PurposeThe main aim of this study is to provide an empirical analysis on the practice of quality management among employees of Malaysian public hospitals at the district, state and national level hospitals. This paper aims to perform a comparative analysis on quality management practices among the three levels of hospitals.Design/methodology/approachThe main method of data collection was self‐administered questionnaire, and cluster sampling was used to select the respondent hospitals, while respondent employees were selected by stratified random sampling. Altogether 23 public hospitals throughout Peninsular Malaysia participated in the survey.FindingsPractice of quality management was found to be significantly higher in district hospitals than in the national referral centre. However, there was no significant difference in perception on implementation outcome between the three levels of hospitals. Among the factors of quality management, teamwork was found to be significantly higher in district hospitals than in state hospitals and the national referral centre. Leadership and management commitment were found to be significantly higher in district and state hospitals than in the national referral centre. The effect of organizational structure could have an effect on practice of quality management.Originality/valueEmpirical studies on the effect of organisational structure on practice of quality management among employees of Malaysian public hospitals have never been conducted before and this thus contributes to the body of knowledge in this discipline of research.
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Noritomi, Danilo Teixeira, Otavio T. Ranzani, Leonardo Jose Rolim Ferraz, et al. "TELE-critical Care verSus usual Care On ICU PErformance (TELESCOPE): protocol for a cluster-randomised clinical trial on adult general ICUs in Brazil." BMJ Open 11, no. 6 (2021): e042302. http://dx.doi.org/10.1136/bmjopen-2020-042302.
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Introduction Daily multidisciplinary rounds (DMRs) consist of systematic patient-centred discussions aiming to establish joint therapeutic goals for the next 24 hours of intensive care unit (ICU) care. The aim of the present study protocol is to evaluate whether an intervention consisting of guided DMRs, supported by a remote specialist and audit/feedback on care performance will reduce ICU length of stay compared with a control group. Methods and analysis A multicentre, controlled, cluster-randomised superiority trial including 30 ICUs in Brazil (15 intervention and 15 control), from August 2019 to June 2021. In a parallel assignment, ICUs are randomised to a complex-intervention composed by daily rounds carried out through Tele-ICU by a remote ICU physician; development of local quality indicators dashboards coupled with monthly meetings with local leadership; and dissemination of evidence-based clinical protocols versus usual care. Primary outcome is ICU length of stay. Secondary outcomes include classification of the unit according to the profiles defined by the standardised resource use and the standardised mortality rate, hospital mortality, incidence of healthcare-associated infections, ventilator-free days at 28 days, patient-days receiving oral or enteral feeding, patient-days under light sedation or alert and calm, rate of patients under normoxaemia. All adult patients admitted after the beginning of the study in each participant ICU will be enrolled. Inclusion criteria (clusters): public Brazilian ICUs with a minimum of 8 ICU beds interested/committed to participating in the study. Exclusion criteria (clusters): units with fully established DMRs by an intensivist, specialised or step-down units. Ethics and dissemination The study protocol was approved by the institutional review board (IRB) of the coordinator centre, and by IRBs of each enrolled hospital/ICU. Statistical analysis protocol is being prepared for submission before the end of patient’s enrolment. Results will be disseminated through conferences, peer-reviewed journals and to each participating unit. Trial registration number NCT03920501; Pre-results.
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Schelbergen, Mark, Peter C. Kalverla, Roland Schmehl, and Simon J. Watson. "Clustering wind profile shapes to estimate airborne wind energy production." Wind Energy Science 5, no. 3 (2020): 1097–120. http://dx.doi.org/10.5194/wes-5-1097-2020.
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Abstract. Airborne wind energy (AWE) systems harness energy at heights beyond the reach of tower-based wind turbines. To estimate the annual energy production (AEP), measured or modelled wind speed statistics close to the ground are commonly extrapolated to higher altitudes, introducing substantial uncertainties. This study proposes a clustering procedure for obtaining wind statistics for an extended height range from modelled datasets that include the variation in the wind speed and direction with height. K-means clustering is used to identify a set of wind profile shapes that characterise the wind resource. The methodology is demonstrated using the Dutch Offshore Wind Atlas for the locations of the met masts IJmuiden and Cabauw, 85 km off the Dutch coast in the North Sea and in the centre of the Netherlands, respectively. The cluster-mean wind profile shapes and the corresponding temporal cycles, wind properties, and atmospheric stability are in good agreement with the literature. Finally, it is demonstrated how a set of wind profile shapes is used to estimate the AEP of a small-scale pumping AWE system located at Cabauw, which requires the derivation of a separate power curve for each wind profile shape. Studying the relationship between the estimated AEP and the number of site-specific clusters used for the calculation shows that the difference in AEP relative to the converged value is less than 3 % for four or more clusters.
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Lori, Jody R., John E. O. Williams, Vida A. Kukula, et al. "Group Antenatal Care in Ghana: Protocol for a Cluster Randomized Controlled Trial." JMIR Research Protocols 11, no. 9 (2022): e40828. http://dx.doi.org/10.2196/40828.
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Background While group antenatal care (ANC) has been delivered and studied in high-income countries for over a decade, it has only recently been introduced as an alternative to individual care in sub-Saharan Africa. Although the experimental design of the studies from high-resource countries have been scientifically rigorous, findings cannot be generalized to low-resource countries with low literacy rates and high rates of maternal and newborn morbidity and mortality. The Group Antenatal Care Delivery Project (GRAND) is a collaboration between the University of Michigan in the United States and the Dodowa Health Research Centre in Ghana. GRAND is a 5-year, cluster randomized controlled trial (RCT). Our intervention—group ANC—consists of grouping women by similar gestational ages of pregnancy into small groups at the first ANC visit. They then meet with the same group and the same midwife at the recommended intervals for care. Objective This study aims to improve health literacy, increase birth preparedness and complication readiness, and optimize maternal and newborn outcomes among women attending ANC at seven rural health facilities in the Eastern Region of Ghana. Methods Quantitative data will be collected at four time points using a secure web application for data collection and a database management tool. Data will be analyzed on an intention-to-treat basis to test the differences between the two arms: women randomized to group-based ANC and women randomized to routine individual ANC. We will conduct a process evaluation concurrently to identify and document patient, provider, and system barriers and facilitators to program implementation. Results The study was funded in September 2018. Recruitment and enrollment of participants and data collection started in July 2019. In November 2021, we completed participant enrollment in the study (n=1761), and we completed data collection at the third trimester in May 2022 (n=1284). Data collection at the additional three time points is ongoing: 6 weeks postpartum, 6 months postpartum, and 1 year postpartum. Conclusions This study is significant and timely because it is among the first RCTs to be conducted to examine the effects of group ANC among low-literacy and nonliterate participants. Our findings have the potential to impact how clinical care is delivered to low-literacy populations, both globally and domestically, to improve maternal and newborn outcomes. Trial Registration ClinicalTrials.gov NCT04033003; https://clinicaltrials.gov/ct2/show/NCT04033003 International Registered Report Identifier (IRRID) DERR1-10.2196/40828
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Padilla, Arely Romero, Joni Storie, Christopher David Storie, and José Manuel Espinosa Herrera. "Urbanization in the Mexico City Metropolitan Area 1900–2020: Urban Dynamics and Driving Factors." Cartographica: The International Journal for Geographic Information and Geovisualization 58, no. 4 (2023): 189–204. http://dx.doi.org/10.3138/cart-2023-0008.
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The variability of urban growth in the Mexico City conurbation reflects the complexity of changes and uncertainty experienced in many urban areas. The goal of this project is to identify how the urban expansion of the Mexico City conurbation reflects the changes in socioeconomic variables of the region over recent decades. The authors first spatially quantified the rate of urban growth from 1990 to 2020 using Landsat data and then identified the socioeconomic variables associated with this urban expansion. Results showed a progressive loss in vegetated land and an increase in urban land. The population’s access to roads and the marginalization index had the highest positive correlation with the observed urban growth. Although these variables were highly correlated with each other, access to roads was not found to be a variable of importance for projecting urban growth. Finally, two distinct zones of urban growth were determined using cluster statistics; the first showed no growth, which corresponded with more established, older municipalities closer to the city centre, and the second zone had significant growth, which corresponded to municipalities away from the centre, coinciding with urban decentralization and new lifestyle patterns. The identification of urban growth zones and socioeconomic variables associated with that growth will assist with effective planning, infrastructure development, and resource management.
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de Oliveira, Claire, Joyce Mason, Bahar Amani, et al. "Protocol for the economic evaluation of the Care for Adolescents who Received Information ‘Bout Outcomes, 2nd iteration (CARIBOU-2) non-randomised, cluster-controlled trial of an integrated care pathway for depression in adolescents." BMJ Open 15, no. 5 (2025): e092541. https://doi.org/10.1136/bmjopen-2024-092541.
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Introduction Depressive disorders in adolescents are highly prevalent and debilitating and are a risk factor for self-harm and death by suicide. In the context of recovery from the COVID-19 pandemic, strained healthcare resources are compounded by an increased demand for treatment services for adolescents with depression. The objective of this study protocol is to delineate the proposed economic evaluation of an integrated care pathway for depression in adolescents within the Care for Adolescents who Received Information ‘Bout Outcomes, 2nd iteration (CARIBOU-2) non-randomised, cluster-controlled trial. Methods and analysis Two economic evaluations of the CARIBOU-2 trial (n=300) will be conducted—a cost-effectiveness analysis and a cost-utility analysis. In the cost-effectiveness analysis, we will examine the primary clinical outcome of the trial, change in the Mood and Feelings Questionnaire total score. In the cost-utility analysis, the clinical outcome will be quality-adjusted life-years, a generic measure of health burden. Data on the resources and respective costs required to deliver the intervention will be collected by the research team. Data on resource use post-intervention will be obtained from a mix of administrative data holdings and self-report; relevant unit costs will be obtained from existing data sources. The outcome of both economic evaluations will be the incremental cost-effectiveness ratio. Relevant sensitivity analyses will be undertaken, and cost-effectiveness acceptability curves will be produced to characterise any sources of uncertainty in the analysis. Equity considerations will also be examined, where relevant. Ethics and dissemination Ethical approval for the larger CARIBOU-2 trial, including the economic evaluation, has been obtained by the Centre for Addiction and Mental Health as well as site-level ethics boards (019/2021; Centre for Addiction and Mental Health). All participants will provide informed consent for their data to be analysed and reported. The results of the main trial and the economic evaluation will be submitted for publication in a peer-reviewed journal and shared with relevant policy makers across Canada. Trial registration number NCT05142683 .
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Fernandez Alvarez, Luis, Olga Datskova, Ben Jones, and Gavin McCance. "Managing the CERN Batch System with Kubernetes." EPJ Web of Conferences 245 (2020): 07048. http://dx.doi.org/10.1051/epjconf/202024507048.
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The CERN Batch Service faces many challenges in order to get ready for the computing demands of future LHC runs. These challenges require that we look at all potential resources, assessing how efficiently we use them and that we explore different alternatives to exploit opportunistic resources in our infrastructure as well as outside of the CERN computing centre. Several projects, like BEER, Helix Nebula Science Cloud and the new OCRE project, have proven our ability to run batch workloads on a wide range of non-traditional resources. However, the challenge is not only to obtain the raw compute resources needed but how to define an operational model that is cost and time efficient, scalable and flexible enough to adapt to a heterogeneous infrastructure. In order to tackle both the provisioning and operational challenges it was decided to use Kubernetes. By using Kubernetes we benefit from a de-facto standard in containerised environments, available in nearly all cloud providers and surrounded by a vibrant ecosystem of open-source projects. Leveraging Kubernetes’ built-in functionality, and other open-source tools such as Helm, Terraform and GitLab CI, we have deployed a first cluster prototype which we discuss in detail. The effort has simplified many of the existing operational procedures we currently have, but has also made us rethink established procedures and assumptions that were only valid in a VM-based cloud environment. This contribution presents how we have adopted Kubernetes into the CERN Batch Service, the impact its adoption has in daily operations, a comparison on resource usage efficiency and the experience so far evolving our infrastructure towards this model.
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Anisimova, Hanna, Olha Donets, Anton Donets, Kyrylo Anisimov, and Hasrat Arjjumend. "Contractual Basis of Mine Action as a Component of the Restoration of Ukraine’s Natural Resource Potential." Journal of Environmental Law & Policy 05, no. 01 (2025): 229–57. https://doi.org/10.33002/jelp050109.
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In the context of Russia’s full-scale armed aggression and the widespread contamination of Ukraine’s territory with landmines and other explosive remnants of war, the legal regulation of contractual relations in the field of humanitarian demining is of critical importance for ensuring the effective and transparent implementation of demining activities and the sustainable restoration of the country’s natural resource potential. The aim of this study is to identify the specific features of contractual regulation in humanitarian demining as a key component of post-conflict ecological recovery, to reveal existing legal gaps, and to develop practical recommendations for improving the regulatory framework for mine action within the broader environmental security context. The research adopts a desk-based methodology, focusing on the analysis of current Ukrainian legislation, international treaties, environmental and legal policy frameworks, and reports by national authorities (e.g., the Ministry of Environmental Protection and Natural Resources, the Ministry of Defence of Ukraine) and international institutions such as the Geneva International Centre for Humanitarian Demining. Particular attention is paid to the practice of public procurement in the field of humanitarian demining (via the Prozorro system), which allows for the identification of common contract models, clarification of their legal regulation, and diagnosis of key obstacles to implementation. Through a comparative approach, the study also reviews international documents, including the International Mine Action Standards (IMAS), the UN PERAC Guidelines on environmental assessments in post-conflict settings, and the provisions of the Ottawa Convention and the Convention on Cluster Munitions. The interdisciplinary framework of the study enables an integrated understanding of demining contracts not only as legal instruments but also as tools for the sustainable management and restoration of damaged ecosystems. The findings of the research can be integrated into Ukraine’s national policy on post-war recovery and contribute to enhancing the legal and institutional foundations of environmental safety.
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Díez-Vial, Isabel, and Marta Fernández-Olmos. "Internal resources, local externalities and export performance: An application in the Iberian ham cluster." Journal of Management & Organization 19, no. 4 (2013): 478–97. http://dx.doi.org/10.1017/jmo.2013.32.
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AbstractThis research aims to complement resource-based view with a cluster approach in identifying which elements, both internal to the firm and locally available, improve firms’ export performance. While in the resource-based view exporting firms are contingent upon the development of intangible resources, from a cluster approach exporters exploit local externalities, mainly related to local information, knowledge and resource spillovers. We present empirical evidence from the Iberian ham cluster in Spain, which confirms the relevance of intangibles such as R&D and marketing promotion, but also of cluster linkages with local institutions – technological centres, universities and use of Designation of Origins – in improving export performance. Contrary to expectations, employee education, organizational experience, and information and knowledge-based spillovers from proximate exporters have no significant effect. These findings suggest that an augmented framework may improve the predictive elements of export performance in clusters.
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Audrey, Suzanne, Sunita Procter, Ashley Cooper, et al. "Employer schemes to encourage walking to work: feasibility study incorporating an exploratory randomised controlled trial." Public Health Research 3, no. 4 (2015): 1–60. http://dx.doi.org/10.3310/phr03040.
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BackgroundPhysical inactivity increases the risk of many chronic diseases, including coronary heart disease, type 2 diabetes, obesity and some cancers. Increasing physical activity levels, particularly among the most sedentary, is an important aim of current public health policy in the UK. An opportunity for working adults to increase physical activity levels may be through walking during the daily commute.ObjectivesTo build on existing knowledge and resources to develop an employer-led scheme to increase walking to work; to test the feasibility of implementing and evaluating the intervention; and to explore other requirements of a full-scale trial.DesignFeasibility study incorporating phase 1 resource review, focus groups with employees and interviews with employers in three workplaces (one small, one medium and one large); and phase 2 exploratory cluster randomised controlled trial (RCT) including process and economic evaluations.SettingWorkplaces (eight small, five medium and four large) in Bristol.ParticipantsOne hundred and eighty-seven employees (89 male and 98 female) at baseline.InterventionsWalk to Work promoters were recruited and trained about the health, social, economic and environmental benefits of walking to work and how to identify and promote safe walking routes for employees. They were given resource packs based on nine key behaviour change techniques. The role of the Walk to Work promoter was to encourage participating employees in their workplace to walk to work; to help to identify walking routes; to encourage goal setting; and to provide additional encouragement through four contacts over the following 10 weeks (face to face, e-mail or telephone, as appropriate).Main outcome measuresRecruitment and retention rates; sample size calculation and estimation of the intracluster correlation coefficient (ICC); acceptability of the intervention and evaluation methods; and estimation of costs.ResultsWorkplace and employee recruitment appeared to be restricted by the initial requirement to identify employees living within 2 miles of the workplace. Once recruited, no workplace withdrew from the study between baseline and 1-year follow-up. It proved feasible to recruit and train workplace Walk to Work promoters. The response rate was 132 (71%) at 1-year follow-up. Although the study was not powered to measure effectiveness, accelerometer data suggest that overall physical activity and moderate to vigorous physical activity (MVPA) were higher in the intervention arm than in the control arm at 1-year follow-up. The ICC was estimated at 0.12 (95% confidence interval 0.00 to 0.30). Based on an average cluster size of eight, an ICC of 0.15 and attrition of 25%, a total sample size of 678 would have 80% power with 5% significance to detect a 15% increase in mean MVPA. The average cost of the intervention was estimated at £441 per workplace. Activity levels were similar in the intervention and control arms at baseline.ConclusionsThe intervention and evaluation were feasible, and acceptable to participants. There was sufficient evidence of promise to justify a full-scale trial incorporating lessons learned during the feasibility study. Future work: an application is being submitted for a follow-on full-scale cluster RCT.Trial registrationCurrent Controlled Trials ISRCTN72882329.FundingThis project was funded by the NIHR Public Health Research programme and will be published in full inPublic Health Research; Vol. 3, No. 4. See the NIHR Journals Library website for further project information. The work was undertaken with the support of The Centre for the Development and Evaluation of Complex Interventions for Public Health Improvement (DECIPHer), a UK Clinical Research Collaboration Public Health Research Centre of Excellence. Joint funding (MR/KO232331/1) from the British Heart Foundation, Cancer Research UK, Economic and Social Research Council, Medical Research Council, the Welsh Government and the Wellcome Trust, under the auspices of the UK Clinical Research Collaboration, is gratefully acknowledged.
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Shao, Yuhan, Yuting Yin, and Dongbo Ma. "Evaluating the Equity of Urban Streetscapes in Promoting Human Health—Taking Shanghai Inner City as an Example." Land 13, no. 1 (2023): 48. http://dx.doi.org/10.3390/land13010048.
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Environmental justice research largely focuses on the allocation of public resources in terms of quantified distribution and accessibility. This study suggests that the quality of landscape equity, an important urban resource, should be evaluated as it typically appears as a combination of elements. This brings another perspective to the attention of landscape equity in addition to the provision equity: the equity in the quality and level of provision. From this perspective, this study explores the equitable role of streetscape qualities in promoting human physical, mental, and social health. Using street view images, questionnaires, artificial intelligence-based image analysis, geographic information system-based cluster analysis, and correlational analysis, the spatial distribution of health promotion streetscapes and health-influential streetscape elements were presented and compared within the scope of the Shanghai Outer Ring Road. The results disclosed an uneven distribution of streetscapes that can promote human health within research sites. Streets with poor health ratings are concentrated in the Huangpu, Hongkou, and Yangpu districts, primarily in the western part of Shanghai around Shanghai Railway Station, People’s Square, and Yuyuan Garden, where the old city centre is located. Compared with the distribution of health-influential elements, less healthy streets are more likely to be accompanied by low visibility of ‘vegetation’ and a high proportion of ‘buildings’. Streetscape design implications were then discussed in terms of providing people with equal health opportunities. Research outcomes inspired an essential quality perspective in health equity research, and it can be especially helpful when the provision and accessibility can hardly be moderated in high-density cities.
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Fisher, Jane, Tuan Tran, Stanley Luchters, et al. "Addressing multiple modifiable risks through structured community-based Learning Clubs to improve maternal and infant health and infant development in rural Vietnam: protocol for a parallel group cluster randomised controlled trial." BMJ Open 8, no. 7 (2018): e023539. http://dx.doi.org/10.1136/bmjopen-2018-023539.
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IntroductionOptimal early childhood development is an international priority. Risks during pregnancy and early childhood have lasting effects because growth is rapid. We will test whether a complex intervention addressing multiple modifiable risks: maternal nutrition, mental health, parenting capabilities, infant health and development and gender-based violence, is effective in reducing deficient cognitive development among children aged two in rural Vietnam.Methods and analysisThe Learning Clubs intervention is a structured programme combining perinatal stage-specific information, learning activities and social support. It comprises 20 modules, in 19 accessible, facilitated groups for women at a community centre and one home visit. Evidence-informed content is from interventions to address each risk tested in randomised controlled trials in other resource-constrained settings. Content has been translated and culturally adapted for Vietnam and acceptability and feasibility established in pilot testing.We will conduct a two-arm parallel-group cluster-randomised controlled trial, with the commune as clustering unit. An independent statistician will select 84/112 communes in Ha Nam Province and randomly assign 42 to the control arm providing usual care and 42 to the intervention arm. In total, 1008 pregnant women (12 per commune) from 84 clusters are needed to detect a difference in the primary outcome (Bayley Scales of Infant and Toddler Development Cognitive Score <1 SD below standardised norm for 2 years of age) of 15% in the control and 8% in the intervention arms, with 80% power, significance 0.05 and intracluster correlation coefficient 0.03.Ethics and disseminationMonash University Human Research Ethics Committee (Certificate Number 20160683), Melbourne, Victoria, Australia and the Institutional Review Board of the Hanoi School of Public Health (Certificate Number 017-377IDD- YTCC), Hanoi, Vietnam have approved the trial. Results will be disseminated through a comprehensive multistranded dissemination strategy including peer-reviewed publications, national and international conference presentations, seminars and technical and lay language reports.Trial registration numberACTRN12617000442303; Pre-results.
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Kovalenko, Vadim, Anna Rodakova, Hamza Mohammed Ridha Al-Khafaji, Artem Volkov, Ammar Muthanna, and Andrey Koucheryavy. "Resource Allocation Computing Algorithm for UAV Dynamical Statements based on AI Technology." Webology 19, no. 1 (2022): 2307–19. http://dx.doi.org/10.14704/web/v19i1/web19157.
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An unmanned aerial vehicle (UAV) is one of the complex and relevant communication networks of 5G and 2030 networks. Development of technologies for virtualization (NFV), containerization and orchestration of data systems. NFV technology can be implemented not only in the data center but also on the switch or router. Thus, by analogy with the above-described trend, flying network segments can also use computing power to solve any problems. For example, deployment on virtual distributed capacities of a flying station controller, an internal network controller. Within the framework of this direction, there are a number of interrelated tasks that need to be resolved by the trends and capabilities of Artificial Intelligence technologies. This paper proposes an algorithm for searching for computing resources in real time. The article defined the criteria for choosing the head node and the cluster with the highest total resources, considered the possibility of implementing the function of the SDN controller in the UAV cluster, the main possible functions and tasks of the UAV, proposed a three-level architecture based on the separation of the functions performed by the UAV. In this work, simulation was carried out in the Matlab program to detect areas of increased load, form UAV clusters, select a head node in clusters and select one UAV cluster with the highest total resources for its subsequent migration to the area of increased load.
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Yuan, Xin, Kai Chen, Wei Zhao, et al. "Open-label, single-centre, cluster-randomised controlled trial to Evaluate the Potential Impact of Computerisedantimicrobial stewardship (EPIC) on the antimicrobial use after cardiovascular surgeries: EPIC trial study original protocol." BMJ Open 10, no. 11 (2020): e039717. http://dx.doi.org/10.1136/bmjopen-2020-039717.
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IntroductionInappropriate antimicrobial use increases the prevalence of antimicrobial-resistant bacteria. Surgeons are reluctant to implement recommendations of guidelines in clinical practice. Antimicrobial stewardship (AMS) is effective in antimicrobial management, but it remains labour intensive. The computerised decision support system (CDSS) has been identified as an effective way to enable key elements of AMS in clinical settings. However, insufficient evidence is available to evaluate the efficacy of computerised AMS in surgical settings.Methods and analysisThe Evaluate of the Potential Impact of Computerised AMS trial is an open-label, single-centre, two-arm, cluster-randomised, controlled trial, which aims to determine whether a multicomponent CDSS intervention reduces overall antimicrobial use after cardiovascular surgeries compared with usual clinical care in a specialty hospital with a big volume of cardiovascular surgeries. Eighteen cardiovascular surgical teams will be randomised 1:1 to either the intervention or the control arm. The intervention will consist of (1) re-evaluation alerts and decision support for the duration of antimicrobial treatment decision, (2) re-evaluation alerts and decision support for the choice of antimicrobial, (3) quality control audit and feedback. The primary outcome will be the overall systemic antimicrobial use measured in days of therapy (DOT) per admission and DOT per 1000 patient-days over the whole intervention period (6 months). Secondary outcomes include a series of indices to evaluate antimicrobial use, microbial resistance, perioperative infection outcomes, patient safety, resource consumption, and user compliance and satisfaction.Ethics and disseminationThe Ethics Committee in Fuwai Hospital approved this study (2020-1329). The results of the trial will be submitted for publication in a peer-reviewed journal.Trial registration numberNCT04328090.
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Adu, Jian Hua. "An New Accounting and Billing System for HPC Cluster." Advanced Materials Research 108-111 (May 2010): 884–87. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.884.
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This paper discussed accounting and billing system for HPC Cluster. This accounting and billing system mainly addresses to resolve the problem of accounting and billing of resources usage and provides good quality of services for users. This paper will introduce the basic implementing mechanism, collecting process of resources usage information, resource price policy and etc. The algorithm which gets cost by resources object with dynamic price is proposed. It suits the characteristics of HPC Cluster and can reduce the load of the center server and reflect the usage of resource.
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Zhernov, Evgeny, Evgenia Nekhoda, and Mariana Petrova. "Economic Transformation Impact on the Modernization of a Mineral Resource Industry Cluster." E3S Web of Conferences 174 (2020): 04003. http://dx.doi.org/10.1051/e3sconf/202017404003.
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The purpose of the study is to show the economic transformation impact on solving the problems of modernization of the socio-economic sphere of the mineral resource industry cluster operating in the mining region. The object of the research is the mineral resource industry cluster as a center of interaction between state, science, education and business for the implementation of innovative scientific, technical and socio-economic projects. The subject of the article is socio-economic relations concerning nature, focused in the mineral resource industry cluster of the mining region. The problems of sustainable development and modernization of the mineral resource industry cluster of the mining region are considered in terms of the socio-ecological-economic approach methodology, taking into account the economic transformation in the cluster, which ensures the scientific novelty of the study. The scientific merit of the study is the determination of the impact of the change in the types of economy on solving the problems of modernization of the socio- economic sphere of the cluster, based on the parity of nature and the economy in the mining region. It has been shown that clustering involving the potential of a world-class regional scientific and educational center is an effective mechanism for such modernization. The practical relevance of the study lies in the fact that its results can be used to clarify, taking into account the proposed approach, the state strategy of support and development of clusters, as well as regional cluster policy.
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Pevzner, Mikhail Naumovich, Petr Anatolievich Petryakov, Anatoly Viktorovich Permyakov, Nikolai Alexandrovich Lebedev, and Alexander Glebovich Shirin. "Cluster approach to teacher education in Russia and the Republic of Belarus: Similarities and differences." Science for Education Today 15, no. 2 (2025): 115–37. https://doi.org/10.15293/2658-6762.2502.06.
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Introduction. The article is devoted to the problem of sustainability and efficiency of educational regional clusters in the process of development of educational systems in the Russian Federation and the Republic of Belarus. The purpose of the article is to identify trends in the development of the cluster approach to teacher education in Russia and Belarus, as well as to determine the evaluative attitude of the heads of educational settings to the structure and content of the activities of clusters. Materials and Methods. The methodological basis of the study is formed by the system, cluster and resource-targeted approaches. The system approach considers the cluster as an open educational system that has a synergistic feature that encourages self-development and self-organization of all stakeholders within the regional educational cluster. The cluster approach defines the principles of interaction of cluster participants in order to improve the quality of teacher education. The resource-targeted approach involves integration and optimization of the resources of partner institutions when combining their potentials. In order to achieve the goal of the study, the following methods were used: theoretical (analysis of scholarly literature, comparison, generalization, analysis of websites of education authorities of the Russian regions) and empirical (interviewing, focus group method, and systematization). Results. Based on a comparative analysis of clustering of teacher education systems in Russia and the Republic of Belarus, common and distinctive trends in the development of regional educational clusters were identified. The authors found that at present in Russia educational clusters are formed mainly in the system of vocational education within the framework of the ‘Professionalism’ program and by creating interregional educational districts. At the same time, in the Republic of Belarus, educational, scientific and innovative clusters of continuous teacher education are consistently functioning and developing, the activities of which are positively evaluated by representatives of educational settings in the regions. Conclusions. Based on the results of the study, the authors concluded that in the regions of Russia there remains a need for educational clusters, the core of those are universities. However, recently, educational clusters in the vocational education system, the center of which are colleges, as well as educational districts based on leading pedagogical universities, have become widespread. In the regions of the Republic of Belarus, poly-subject pedagogical clusters are consistently functioning and developing, ensuring close interaction of their stakeholders. Common features of the cluster approach in the two countries are the focus on improving the quality of teacher education and the reproduction of teaching staff, the integration of resources of various cluster entities to achieve a synergistic effect. Distinctive characteristics of the educational systems of the two countries are the presence of stable, consistently functioning, effective educational clusters; the activities of those have received a positive assessment from the heads of educational institutions in the Republic of Belarus and the diversity of forms and models of pedagogical clusters in Russia.
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Upadhyay, Jharana, and Shiva Khadka. "Modelling Height-Diameter Relationship of <i>Pinus Roxburghii </i>in Nepal." American Journal of Biological and Environmental Statistics 10, no. 3 (2024): 49–59. http://dx.doi.org/10.11648/j.ajbes.20241003.12.
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Height and diameter are two factors that are considered when developing (volume and yield) tables, as well as for determining site quality and site index. Diameter is easily measured using precise and affordable instruments. However, height measurement is complex in terms of time, skill, and resource. So, developing allometric equation of height-diameter is useful to predict height from diameter to calculate tree volume, biomass, and carbon storage and survival analysis. The study was carried out in Nepal. The study area comprised of a total of 664 unique plots of &lt;i&gt;Pinus roxburghii&lt;/i&gt;. Data was obtained from Forest Resource Assessment, 2018 undertaken by Forest Research and Training Centre (then Department of Forest Research and survey). Diameter was measured with a diameter tape at 1.3 m height above the ground level and total height was measured with a Vertex IV and Transponder. A two-phase cluster sampling was applied during data collection. Statistical software R and MS-Excel were used for data analysis. Correlation analysis showed significant positive correlation (r = 0.86) between DBH (diameter at breast height) and Height. The relationship between height as dependent variable to diameter was established through regression analysis, different suggested models were tested accordingly. Different forms of candidate models including linear, polynomial, logarithmic, and inverse were fitted to select the best height prediction model. The Akaike Information Criterion (AIC), Root Mean Square Error (RMSE), and Adjusted Coefficient of Determination (R&lt;sup&gt;2&lt;/sup&gt; adj.) were used to evaluate the model. Polynomial degree 2 form of equation (height=1.1052804+0.6252304*dbh−0.0021242*dbh&lt;sup&gt;2&lt;/sup&gt;) resulted as the best model with values of adj. R&lt;sup&gt;2&lt;/sup&gt; RMSE, and AIC; 0.720, 3.639 and 2735.253 respectively.
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Khutieva, Elena, Alexander Maizel, and Marina Vlasova. "Industrial clusters in St. Petersburg as a basis for development of Arctic territories." MATEC Web of Conferences 170 (2018): 02006. http://dx.doi.org/10.1051/matecconf/201817002006.
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The exploitation of Arctic resources is becoming now one of the most important directions of Russia’s strategic development. The coordination center for this project is St. Petersburg. The article assesses the potential of this region which forms an essential prerequisite for the effective implementation of the given work from the standpoint of the state and prospects of industrial clusters formed in its territory. The subjects of the cluster environment of St. Petersburg relevant programs of state support are divided into three categories: 2 innovative territorial clusters, 3 territorial clusters, 9 territorial clusters administered by the Center for cluster development. Specific recommendations for them are proposed on the basis of analysis of their strengths and weaknesses, as well as assessment of opportunities and threats to their development.
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Afroz, S., MS Noman, MS Hossain, AA Mamun, N. Howlader, and S. Ara. "Multivariate Analysis Approach to Select Parents for Hybridization Aiming at Yield Improvement in Cucumber (Cucumis sativus L.)." Journal of Environmental Science and Natural Resources 6, no. 1 (2015): 33–36. http://dx.doi.org/10.3329/jesnr.v6i1.22036.
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Twenty two genotypes of cucumber (Cucumis sativus L.) were evaluated using D2 and principal component analysis (PCA). The genotypes were collected from Plant Genetic Resources Centre (PGRC) of Bangladesh Agricultural Research Institute (BARI), Gazipur , Agro-G, & Lal Teer seed company. The study was undertaken at Sher-e-Bangla Agricultural University Farm, Dhaka during March 2010 to October 2010 to select suitable donor parents for improved breeding of cucumber. Principal component analysis (PCA) revealed that the first two axes accounted for 67.39% of the total variation among the fourteen characters studied. As per cluster analysis, the genotypes were grouped into four clusters consisting 5, 3, 8 and 6 genotypes which revealed that there exist considerable diversity among the genotypes. Highest intra-cluster distance was found in cluster ?I and lowest in cluster ?V. Among four clusters, the highest inter-cluster distance was observed between cluster ?I and cluster ? and lowest between cluster I and cluster ?V. Considering all of the characters studied, the Serena, BD-4305, BD-4256, CU937F1 and BD-4309 were selected for future breeding programme.DOI: http://dx.doi.org/10.3329/jesnr.v6i1.22036 J. Environ. Sci. & Natural Resources, 6(1): 33-36 2013
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CHANDRA, B. P. SINGH, and KUMAR PREETAM. "Dynamics of Low Transition Rate from Primary to Upper Primary in Bihar." Issues and Ideas in Education 4, no. 2 (2016): 99–109. https://doi.org/10.15415/iie.2016.42008.
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The Unified-District Information System of Education report of Bihar (U-DISE, 2014-15) revealed that about 17.45 per cent children of class V could not transit to class VI in elementary schools. It seems that the goal of universal elementary education may not be realised in the near future if transition rates are not further significantly enhanced. The study was designed to explore contextual reasons of low transition rate from primary to upper primary schools in Bihar with the help of a set of tools. The study was conducted on the government schools (135) randomly selected from three districts (9 blocks and 27 CRCs). 270 teachers, 174 VSS members, 98 Parents, 57 Non-transited children, 27 CRCCs and 9 BRCCs participated in the study. Altogether 1293 cases of the left study category and 411 cases of the left school children were recorded across district. The emerging trend pointed out that domestic work (30 per cent) and wage earning (25 per cent) were prominent reasons across district. Early marriage (11 per cent) and geographical barrier (10 per cent) were other reasons that could not be underestimated. About 47 per cent teachers admitted that schools had no child-friendly set-up leading to low transition in class VI. 43 per cent teachers admitted the fact that their schools were not conducive to transiting all children to class VI. The study discussed the role of VSS members, parents and cluster-resource centre coordinators (CRCCs) in low transition rate and also suggested some measures of improving transition rate.
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Tang, Xiaochun, Ying Fu, and Xuefeng Fan. "Fine-Grained Allocation Algorithm for Sharing Heterogeneous Resources in Data Center." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 38, no. 3 (2020): 589–95. http://dx.doi.org/10.1051/jnwpu/20203830589.
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Data in a data center are stored dispersively. The data-oriented task computing disperses big data analysis tasks to different computing nodes. The extensive use of graphics processing unit (GPU) makes it urgent and important to study how to reasonably assign heterogeneous resources to different computing frameworks. We investigate the existing big data computing framework and the GPU computing. Based on the existing cluster resource management model and the GPU management model, we propose a hybrid heterogeneous resource management model that combines CPU resources with GPU resources. The computing nodes manage local resources and implement tasks; the resource management center concertedly manage various computing frameworks. We design and implement a hybrid domain resource sharing and allocation algorithm, which allocates the hybrid domain resources to computing frameworks according to the coordinated use of them so as to fairly share the hybrid domain resources among various computing frameworks and prevent the CPU from too many tasks but the GPU or CPU from resource "hunger". The experimental results show that the allocation algorithm can increase the use of heterogeneous resources and the number of completed tasks by around 15%.
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Mochalov, V. P., N. Y. Bratchenko, G. I. Linets та I. S. Palkanov. "Методы и модели сервиса распределения ресурсов в кластерах с балансировкой нагрузки центров обработки данных". МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ 10, № 2(37) (2022): 30–31. http://dx.doi.org/10.26102/2310-6018/2022.37.2.030.
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The object of the research is computing clusters of cloud data centers, containing many servers, data storage systems, an input-output system interconnected by a communication network. The goal of this research is to develop methods and models for improving the performance of a data center cluster by reducing the processing time of service requests as well as reducing equipment costs due to the efficient allocation of its resources. Therefore, it is necessary to implement optimization algorithms for placing virtual machines (VMs) on physical servers in real time based on load balancing. The proposed method of resource allocation is based on an iterative greedy algorithm and a limited search procedure. Reduction in the computation time is achieved by introducing restrictions on the permissible search depth. The paper puts forward a mathematical model of resource allocation, built using the Erlang model in the form of a multi-line m-node queuing system (QS) of the type with an n-seat buffer, which makes it possible to determine the main indicators of service request quality in the form of QS parameters. The efficiency of this approach was tested on a simulation model built on the basis of the system functioning statistical analysis. Its experimental study was also carried out. Объектом исследования являются вычислительные кластеры облачных центров обработки данных (ЦОД), содержащие множество серверов, систем хранения данных, систему ввода-вывода связанных между собой коммуникационной сетью. Целью работы является разработка методов и моделей повышения производительности кластера ЦОД путем уменьшения времени обработки запросов на обслуживание, а также уменьшения затрат на оборудование за счет эффективного распределения его ресурсов. Это вызывает необходимость реализации оптимизационных алгоритмов размещения виртуальных машин (ВМ) на физических серверах в реальном времени на основе балансировки нагрузки. В основу предложенного метода распределения ресурсов положен итерационный жадный алгоритм и процедура ограниченного перебора. Сокращение времени вычислений достигается при этом путем введения ограничений на допустимую глубину перебора. В работе предложена математическая модель распределения ресурсов, построенная на основе модели Эрланга в виде многолинейной m-узловой системы массового обслуживания (СМО) типа с n-местным буфером, позволяющая определять основные показатели качества обслуживания запросов в виде параметров СМО. Работоспособность предложенного подхода проверена на имитационной модели, построенной на основе статистического анализа функционирования системы, проведено ее экспериментальное исследование.
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Gese, Eric M., Patricia A. Terletzky, and Sandra M. C. Cavalcanti. "Identification of kill sites from GPS clusters for jaguars (Panthera onca) in the southern Pantanal, Brazil." Wildlife Research 43, no. 2 (2016): 130. http://dx.doi.org/10.1071/wr15196.
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Context Understanding predator–prey relationships is important for making informed management decisions. Knowledge of jaguar (Panthera onca) predation on livestock and native prey is imperative for future conservation of jaguars in Central and South America. Aim As part of an investigation to determine predation patterns of jaguars in the southern Pantanal, Brazil, we examined spatial, temporal and habitat variables, which are useful in categorising location clusters as kill sites and non-kill sites. Methods Using GPS-collars on 10 jaguars we obtained a total of 11 784 locations, from which 877 clusters were identified, visited and examined for prey remains. Of the 877 clusters, 421 were associated with a kill and 456 clusters were not associated with a kill. We used univariate and multivariate models to examine the influence of spatial (distance to nearest: water, dense cover, road; dispersion of points), temporal (season, time, number of nights, duration) and habitat (percentage of seven habitat classes, dominant habitat class) variables on categorising clusters as kill or non-kill sites. Key results We found the time a jaguar spent at a cluster (duration), the dispersion of points around the centre of the cluster (dispersion) and the number of nights spent at the cluster were all reliable predictors of whether a cluster was a kill or non-kill site. The best model predicting the likelihood a cluster was a jaguar kill site was a combination of duration and dispersion. Habitat variables were not important in discriminating kills from non-kill sites. Conclusion We identified factors useful for discriminating between kills and non-kill sites for jaguars. We found that as a jaguar spent more time at a cluster and as the dispersion of points around the centre of the cluster increased, the higher likelihood the cluster was a jaguar kill. Similarly, as the number of nights spent at the cluster increased, the greater the probability the cluster was a kill. Implications Our results will increase the efficiency of field investigations of location clusters in determining predation patterns of jaguars in Central and South America. Being able to prioritise which location clusters should be investigated will assist researchers with limited time and resources.
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Bütün, Hür, Ivan Kantor, and François Maréchal. "An Optimisation Approach for Long-Term Industrial Investment Planning." Energies 12, no. 21 (2019): 4076. http://dx.doi.org/10.3390/en12214076.
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The industrial sector has a large presence in world energy consumption and CO2 emissions, which has made it one of the focal points for energy and resource efficiency studies. However, large investments are required to retrofit existing industrial plants, which remains the largest barrier to implementing energy saving solutions. Process integration methods can be used to identify the best investments to improve the efficiency of plants, yet their timing remains to be answered using an optimisation approach. Even more critically, such decisions must also account for future investments to avoid stranded or regretted investments. This paper presents a method incorporating investment planning over long time horizons in the framework of process integration. The time horizon is included by formulating the problem using multiple investment periods. Investment planning is conducted using a superstructure approach, which permits both commissioning and decommissioning of units in the beginning of each period. The method is applied to a large case study, with an industrial cluster neighbouring an urban centre to also explore options of heat integration between industries and cities. Compared to the business-as-usual operation, optimal investment planning improves the operating cost of the system by 27% without budget constraints and 16–26% with constraints on budget and investment periods, which is reflected as an increase in net present value and a decrease in CO2 emissions. In all cases, the operating cost benefits pay off the investment in less than two years. The present work is efficient in finding energy saving solutions based on the interest of industries. This method adds additional perspectives in the decision-making process and is adaptable to various time horizons, budgets and economic constraints.
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Nam, Jaeyoung, Yongmae Baek, and Eunyoung Park. "Differences in Depressive and Somatization Tendencies in Children by Type of Maternal Parenting Attitude." Korean Journal of the Human Development 31, no. 4 (2024): 31–45. https://doi.org/10.15284/kjhd.2024.31.4.31.
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This study explores the latest types of maternal parenting attitudes that have recently emerged in modern society and examines whether there are significant differences in children's depressive and somatization tendencies depending on the type of parenting attitude. The Parenting Attitude Test and the Korean Personality Rating Scale for Children were administered to 221 children aged 7-11 years and their mothers who visited a psychological counseling center located in City D. The data were analyzed using SPSS 22.0 for correlation, two-level cluster analysis, and multivariate analysis. First, the study identified three clusters based on maternal parenting attitude characteristics. To reflect the unique characteristics of each cluster, cluster 1 was named Unaffectionate - Uninterested (24%), cluster 2 was named Punitive -Controlling (33%), and cluster 3 was named Warm - Intimate (43%). Second, clusters 1 and 2 were significantly higher than cluster 3 for children's depression. Third, clusters 1 and 2 were significantly higher than cluster 3 in children's somatization tendencies. Based on these results, this information is expected to be used as a resource for parent education and parent counseling, and this study is significant in that it examines the latest types of mother parenting attitudes in South Korea.
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Wei, Xiaolin, Nida Khan, Hammad Durrani, et al. "Protocol for a pragmatic cluster randomised controlled trial to evaluate the effectiveness of digital health interventions in improving non-communicable disease management during the pandemic in rural Pakistan." PLOS ONE 18, no. 10 (2023): e0282543. http://dx.doi.org/10.1371/journal.pone.0282543.
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Background The COVID-19 pandemic has revealed gaps in global health systems, especially in the low- and middle-income countries (LMICs). Evidence shows that patients with non-communicable diseases (NCDs) are at higher risk of contracting COVID-19 and suffering direct and indirect health consequences. Considering the future challenges such as environmental disasters and pandemics to the LMICs health systems, digital health interventions (DHI) are well poised to strengthen health care resilience. This study aims to implement and evaluate a comprehensive package of DHIs of integrated COVID-NCD care to manage NCDs in primary care facilities in rural Pakistan. Methods The study is designed as a pragmatic, parallel two-arm, multi-centre, mix-methods cluster randomised controlled trial. We will randomise 30 primary care facilities in three districts of Punjab, where basic hypertension and diabetes diagnosis and treatment are provided, with a ratio of 1:1 between intervention and control. In each facility, we will recruit 50 patients who have uncontrolled hypertension. The intervention arm will receive training on an integrated COVID-NCD guideline, and will use a smartphone app-based telemedicine platform where patients can communicate with health providers and peer-supporters, along with a remote training and supervision system. Usual care will be provided in the control arm. Patients will be followed up for 10 months. Our primary indicator is systolic blood pressure measured at 10 months. A process evaluation guided by implementation science frameworks will be conducted to explore implementation questions. A cost-effectiveness evaluation will be conducted to inform future scale up in Pakistan and other LMICs. Discussion Our study is one of the first randomised controlled trials to evaluate the effectiveness of DHIs to manage NCDs to strengthen health system resilience in LMICs. We will also evaluate the implementation process and cost-effectiveness to inform future scale-up in similar resource constrained settings. Trial registration ClinicalTrials.gov Identifier—NCT05699369.
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Qureshi, Basit, and Anis Koubaa. "On Energy Efficiency and Performance Evaluation of Single Board Computer Based Clusters: A Hadoop Case Study." Electronics 8, no. 2 (2019): 182. http://dx.doi.org/10.3390/electronics8020182.
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Energy efficiency in a data center is a challenge and has garnered researchers interest. In this study, we addressed the energy efficiency issue of a small scale data center by utilizing Single Board Computer (SBC)-based clusters. A compact layout was designed to build two clusters using 20 nodes each. Extensive testing was carried out to analyze the performance of these clusters using popular performance benchmarks for task execution time, memory/storage utilization, network throughput and energy consumption. Further, we investigated the cost of operating SBC-based clusters by correlating energy utilization for the execution time of various benchmarks using workloads of different sizes. Results show that, although the low-cost benefit of a cluster built with ARM-based SBCs is desirable, these clusters yield low comparable performance and energy efficiency due to limited onboard capabilities. It is possible to tweak Hadoop configuration parameters for an ARM-based SBC cluster to efficiently utilize resources. We present a discussion on the effectiveness of the SBC-based clusters as a testbed for inexpensive and green cloud computing research.
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Chauhan, Deepak Singh, Sanjay Kumar Verma, Ravindra Kumar Panwar, et al. "Multivariate Analysis of Genetic Diversity in Mung Bean [Vigna radiata (L.) Wilczek] Using Mahalanobis Statistic." International Journal of Plant & Soil Science 36, no. 8 (2024): 1138–45. http://dx.doi.org/10.9734/ijpss/2024/v36i84945.
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Mung bean is a significant pulse crop in India, known for its high protein content, ranging from 25-28%. Understanding the genetic diversity within mung bean populations is essential for identifying genotypes that can enhance crop improvement and for the effective utilization of available genetic resources. This study aimed to evaluate the extent and patterns of morphological diversity among various mung bean genotypes and to determine the key traits contributing to genetic diversity using multivariate analysis. The present study was conducted at Norman E. Borlaug Crop Research Centre, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India, during the kharif season of 2023. Using Mahalanobis D2 statistics, 40 mung bean genotypes were grouped into 9 distinct clusters. Cluster I was the largest, comprising 15 genotypes, followed by Cluster II with 11 genotypes. Clusters IV with 4 genotypes. Cluster V and Cluster VII each had 3 genotypes; and Clusters III, VI, VIII and IX each contained a single genotype. The greatest inter-cluster distance was observed between Cluster VII and Cluster VIII (17.12), indicating that genotypes (PM 15-12, PM 5, IPM 2-14) and (Vamban 2) can be hybridized together to produce significant genetic diversity in segregating generation among the genotypes included in these clusters. Therefore, the substantial genetic distance observed within and among the clusters should be leveraged by selecting and crossing the most genetically divergent parents in future mung bean breeding programmes.
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Fitriani, F. Laksmi, Iwan Kurniawan, and Fandi Ahmad. "Strategi Pengembangan Potensi Desa dengan Pembuatan Klaster di Wilayah Kabupaten Bandung." Jurnal Wacana Kinerja: Kajian Praktis-Akademis Kinerja dan Administrasi Pelayanan Publik 23, no. 2 (2020): 151. http://dx.doi.org/10.31845/jwk.v23i2.202.
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The government provides stimulus in order to accelerate village-potential development through planned programs. However, development programs could not meet the target due to inability to maintain the diversity of current potentials. This study aimed to create village clusters in the Bandung Regency area based on village potentials and plan strategies to develop villages based on their clusters. The research used a mixed method approach (quantitative and qualitative). The sampling technique used non-probability sampling, namely saturated sampling. Data collected using secondary data from BPS, interview, and documentation. The data analyzed used cluster analysis with Two Step Clusters technique. The result was that villages in the Bandung Regency were categorized into five clusters. These clusters were based on demographic, geographic characteristics, and availability of public facilities, i.e. school, health, religious, market, bank/cooperation, leisure center, and tourism object. In addition, development strategy for the first cluster was promoting participative development plans. Second cluster needed development plans that strengthened human resource capacity, social capital, and public services. Finally, the third, fourth and fifth clusters had a similar strategy which focused on building financial, tourism, and leisure sectors to create more business areas.
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Rahman, S., MAK Miah, and H. Rahman. "Genetic diversity of muskmelon using multivariate technique." Bangladesh Journal of Agricultural Research 41, no. 2 (2016): 273–86. http://dx.doi.org/10.3329/bjar.v41i2.28230.
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An experiment was conducted at the experimental farm of Plant Genetic Resources Centre (PGRC), Bangladesh Agricultural Research Institute (BARI), Gazipur in 2011 to estimate genetic diversity through multivariate technique. Based on multivariate analysis and application of covariance matrix for nonhierarchical clustering, 64 genotypes of muskmelon were grouped into six clusters to indicate the existence of considerable diversity among the genotypes. The cluster IV was consisted of single genotypes (BD2303). The highest number of genotypes possessed in Cluster I. The first principal axis largely accounted for the variation among the genotypes which alone contributed 25.65% of the variations. The highest inter genotypic distance (2.878) was observed between the genotypes BD2303 and BD2313 followed by the genotypes BD2303 and BD2314 (2.808).The highest intra cluster distance was computed for cluster III (0.839) followed by cluster I (0.751). Cluster VI showed the least intra cluster distance which indicated that the genotypes in this cluster were more or less homogeneous. The inter cluster distances were larger than the intra cluster distances suggesting wider genetic diversity among the genotypes of different clusters. Cluster mean pointed out the heavier fruit in cluster IV (2533.3g). The size of this cluster was also far different from all other clusters. Similarly, the highest total fruit weight per plant was found in cluster IV (13.5 kg) which was also far different from other clusters. So it revealed that genotypes of this cluster could be used for developing high yielding variety. Cluster VI showed the highest brix reading (5.6%). Therefore, the genotypes of this cluster could be used for the development of sweet muskmelon variety. Hybridization between the genotypes of cluster IV and those of cluster VI could develop high yielding sweet muskmelon variety(s).Bangladesh J. Agril. Res. 41(2): 273-286, June 2016
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Arvanitidis, Christos, Richard Warwick, Paul Somerfield, et al. "The Collaborative Potential of Research Infrastructures in Addressing Global Scientific Questions." Biodiversity Information Science and Standards 3 (June 21, 2019): e37289. https://doi.org/10.3897/biss.3.37289.
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Research Infrastructures (RIs) are facilities, resources and services used by scientists to perform research and support innovation. A number of EU research infrastructures [e.g. e-Science and Technology European Infrastructure for Biodiversity and Ecosystem Research (LifeWatch) European Research Iinfrastructures Consortium (ERIC); The European life-sciences Infrastructure for biological Information (ELIXIR); the European Marine Biological Resource Centre (EMBRC ERIC); the European Research Infrastructure for Imaging Technologies in Biological and Biomedical Sciences (uroBioImaging ERIC)] have been building Virtual Research Environments (VREs), which include many virtual laboratories (vLabs) offering, one stop data access to scientists, high computational capacity and collaborative research platforms in support of the requirements of the digital science. This presentation gives examples on the use of the vLabs developed by LifeWatch ERIC which have subsequently been taken up as web services by other RIs. The RvLab operates on a high-performance computer cluster, and has been used in order to analyse various properties of taxon equality, with a focus on marine species. This taxonomic information on marine biota is organized and made publicly available through the World Register of Marine Species (WoRMS) that delivers more than 250,000 described valid species names. Although scientists consider an <em>equal </em>status (in terms of contribution to overall diversity) to each taxon used in taxonomy, biogeography, ecology and biodiversity, the question "<em>are all taxa equal?</em>" has never been tested at a global scale. We present evidence that this question can be addressed by applying relatedness indices (Taxonomic Distinctness) over the entire WoRMS metazoan tree. The virtual micro-CT laboratory (Micro-CT vLab), which can be used by the members of the scientific community interested in the digitisation methods and biological collections, makes the micro-CT data exploration of natural history specimens freely available over the internet. Micro-CT vLab makes it possible the online exploration and dissemination of micro-CT datasets, which are only rarely made available to the public due to their very large size and a lack of dedicated online platforms supporting the interactive manipulation of 3D data. Examples of how these vLabs can be used by other RIs are provided.
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Tamblyn, Robyn, Nancy Winslade, Todd C. Lee, et al. "Improving patient safety and efficiency of medication reconciliation through the development and adoption of a computer-assisted tool with automated electronic integration of population-based community drug data: the RightRx project." Journal of the American Medical Informatics Association 25, no. 5 (2017): 482–95. http://dx.doi.org/10.1093/jamia/ocx107.
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Abstract Background and Objective Many countries require hospitals to implement medication reconciliation for accreditation, but the process is resource-intensive, thus adherence is poor. We report on the impact of prepopulating and aligning community and hospital drug lists with data from population-based and hospital-based drug information systems to reduce workload and enhance adoption and use of an e-medication reconciliation application, RightRx. Methods The prototype e-medical reconciliation web-based software was developed for a cluster-randomized trial at the McGill University Health Centre. User-centered design and agile development processes were used to develop features intended to enhance adoption, safety, and efficiency. RightRx was implemented in medical and surgical wards, with support and training provided by unit champions and field staff. The time spent per professional using RightRx was measured, as well as the medication reconciliation completion rates in the intervention and control units during the first 20 months of the trial. Results Users identified required modifications to the application, including the need for dose-based prescribing, the role of the discharge physician in prescribing community-based medication, and access to the rationale for medication decisions made during hospitalization. In the intervention units, both physicians and pharmacists were involved in discharge reconciliation, for 96.1% and 71.9% of patients, respectively. Medication reconciliation was completed for 80.7% (surgery) to 96.0% (medicine) of patients in the intervention units, and 0.7% (surgery) to 82.7% of patients in the control units. The odds of completing medication reconciliation were 9 times greater in the intervention compared to control units (odds ratio: 9.0, 95% confidence interval, 7.4-10.9, P &lt; .0001) after adjusting for differences in patient characteristics. Conclusion High rates of medication reconciliation completion were achieved with automated prepopulation and alignment of community and hospital medication lists.
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von Cube, R. Florian, René Caspart, Max Fischer, et al. "Opportunistic transparent extension of a WLCG Tier 2 center using HPC resources." EPJ Web of Conferences 251 (2021): 02059. http://dx.doi.org/10.1051/epjconf/202125102059.
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Computing resource needs are expected to increase drastically in the future. The HEP experiments ATLAS and CMS foresee an increase of a factor of 5-10 in the volume of recorded data in the upcoming years. The current infrastructure, namely the WLCG, is not sufficient to meet the demands in terms of computing and storage resources. The usage of non HEP specific resources is one way to reduce this shortage. However, using them comes at a cost: First, with multiple of such resources at hand, it gets more and more diffcult for the single user, as each resource normally requires its own authentication and has its own way of accessing it. Second, as they are not specifically designed for HEP workflows, they might lack dedicated software or other necessary services. Allocating the resources at the different providers can be done by COBalD/TARDIS, developed at KIT. The resource manager integrates resources on demand into one overlay batch system, providing the user with a single point of entry. The software and services, needed for the communities workflows, are transparently served through containers. With this, an HPC cluster at RWTH Aachen University is dynamically and transparently integrated into a Tier 2 WLCG resource, virtually doubling its computing capacities.
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Akter, Limu. "Genetic Divergence of Sweet Pepper in Bangladesh." Advances in Image and Video Processing 12, no. 6 (2024): 277–86. https://doi.org/10.14738/aivp.126.17951.
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The study of genetic divergence in sweet pepper is essential for enhancing crop yield, quality, and adaptability, especially in regions like Bangladesh where agriculture plays a critical role in the economy. The present investigation was carried out at the research farm of the Olericulture division, Horticulture Research Centre, Bangladesh Agricultural Research Institute, Gazipur, Bangladesh to estimate genetic divergence in 21 sweet pepper genotypes based on fourteen characters using Mahalanobis’s D2 statistics during winter 2017-18 in randomized complete block design with three replications. The results revealed significant genetic variability, indicating the presence of diverse genetic resources within the cultivated 21 sweet pepper genotypes. Cluster analysis grouped the accessions into distinct clusters, reflecting their genetic relationships and divergence. The study highlights specific genotypes with desirable traits that can be utilized in breeding programs to develop superior sweet pepper varieties. Cluster II had the maximum number (14) of genotypes and clusters I and III were composed of only two genotypes. The highest intra-cluster distance was observed in cluster II (1.286), containing fourteen genotypes and the lowest intra-cluster distance (0.056) was observed in cluster III having two genotypes. A higher inter-cluster distance was observed between clusters III and IV (14.090) and clusters I and IV (14.040) indicating the genotypes in these clusters were more diverged than those of other clusters. Cluster II exhibited maximum highest mean for fruit length at the green stage, fruit length at the mature stage and desirable minimum value for days to 50% flowering while the second highest mean values for days to last harvest, number of fruit/plant, weight of fruit/plant, average fruit weight, total number of fruit/plot, plot yield, fruit yield, while cluster IV exhibited the highest mean values for the number of fruit/plant, weight of fruit/plant, total number of fruit/plot, plot yield, fruit yield and one desirable lowest mean for days to last harvest. Therefore, more emphasis should be given to clusters II and IV for selecting genotypes as parents for crossing which may produce new recombinants with desired traits.
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MUKANOV, Aidar H., Kamshat P. MUSSINA, Lyailya M. MUTALIYEVA, Yerzhan N. SAGATBAYEV, Darken A. SEIDUALIN, and Gulzhan K. ABDRAMANOVA. "Formation of Tourist Clusters in Ecotourism Centers: Case of Zerenda Resort Center in Kazakhstan." Journal of Environmental Management and Tourism 14, no. 6 (2023): 2641. http://dx.doi.org/10.14505/jemt.v14.6(70).13.
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In modern conditions, the development of tourism is undergoing dramatic changes under the influence of a number of exogenous and endogenous factors. For tourists, those tourist areas are becoming more and more attractive, where full-fledged conditions for recreation in a unique natural environment have been created, considering the provision of comfortable stay. Thus, one of the directions of spatial organization of tourism is formation of tourist clusters. In this scientific work, the authors consider the issues of creating tourist clusters in ecotourism centers of Kazakhstan on the example of the Zerenda resort center.
 The method of cartographic taxonomy was used as the main research tool, within which taxa were identified that could form the basis of a tourist cluster in a certain geographical environment. Territorial units were included in each taxon, covering territories of the area where tourist resources are located.
 As a result of the study, sections of the resort area were identified, which can be covered by a tourist cluster. It is assumed that each section of the cluster has its own specific characteristics and can act as a dominant and serve as a point of attraction for tourists.
 In general, given that the clustering process is a rather lengthy and complex process, the authors assume that the creation of tourist ecotourism clusters can not only increase the attractiveness of ecocenters, but also lead to the emergence of new types of recreation, including in the field of green tourism.
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Dakić, Vedran, Mario Kovač, and Josip Knezović. "Improving Infrastructure Cluster Design by Using Symmetry." Symmetry 17, no. 3 (2025): 357. https://doi.org/10.3390/sym17030357.
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Symmetry in IT system design is essential for improving efficiency, consistency, and manageability in data center operations. Symmetry guarantees that all system elements—be it hardware, software, or network configurations—are crafted to be consistent, thereby minimizing variability and streamlining operations. This principle is especially pertinent in cluster computing, where uniform server configurations facilitate efficient maintenance and consistent system performance. Symmetric designs reduce variations among nodes, alleviating performance discrepancies and resource imbalances commonly encountered in heterogeneous environments. This paper examines the advantages of symmetric configurations via an experimental analysis of the lifecycle management process. The findings indicate that clusters constructed with a symmetric server architecture enhance operational efficiency. From a lifecycle management standpoint, symmetry streamlines hardware provisioning and maintenance, diminishing complexities related to Day-1 and Day-2 operations. Furthermore, by guaranteeing consistent performance across all servers, symmetric designs facilitate a more predictable quality of service (QoS), reducing bottlenecks and improving overall system stability. Experimental results indicate that, when properly configured, symmetric clusters surpass asymmetric configurations in sustaining QoS, especially during peak loads or hardware failures, owing to their enhanced resource allocation and failover mechanisms. This research highlights the significance of symmetry as a fundamental principle in cluster-based data center architecture.
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Issarathumnoon, Wimonrart. "Understanding the Dynamic Creative Clustering in the Phra Athit Road Area of Bangkok." Nakhara : Journal of Environmental Design and Planning 21, no. 3 (2022): 220. http://dx.doi.org/10.54028/nj202221220.
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This article examines changes along Phra Athit Road in Rattanakosin's historic center. With the support of the state, a former commercial street became a "cultural quarter" and eventually a "cultural-creative cluster," with creative activities infiltrating the neighborhoods. For this study, the researcher conducted a field survey and interviewed creative entrepreneurs in four sub-districts. The Phra Athit Road social and cultural resources reflect the qualities or potential resources of traditional neighbourhoods that have fostered the development of creative clusters. "Urban culture” is one of the district's key cultural resources that is properly understood and utilized, and its complex network of creative people is a crucial social resource. These creative people are “outsiders” with strong relationships to “insiders”; some of them advocate a new way of living, while others comprise groups of intellectuals with creative economy talents and tasks. Cultural-creative clusters comprise more than people; they are typified by cafés and bars, exhibition spaces, and the production of creative products. These clusters may vary from one another in function and location, and newer clusters, less dense than the original, are less harmful to traditional communities and businesses. What they have in common is that they have enabled participants to gain real-life experiences and join distinctive activities customized by entrepreneurs. Still, those who use external resources to create goods and develop a creative cluster may endanger the very neighbourhoods where they take root.
 The Phra Athit Road area provides a deep understanding of "creative clustering," which refers to a dynamic process that has taken place in some traditional neighbourhoods, based on the positive exploitation of their rich traditional, artistic, and cultural resources. Entrepreneurs are producing unique products that fit into complex systems, which is good for the area, but may also disrupt established patterns in the community. Transforming the historic area gradually could help locals adjust to the change. This study proposes the following approaches to promote both the protection of traditional structures and the acceptance of change: (1) The design or planning of the area should allow for development that is consistent with the rhythm of life in the area. Proper pacing of changes and the growth of well-sized creative clusters create an ecosystem that is good for both the residents and creative entrepreneurs. (2) The neighbourhood’s values should be enhanced by integrating local and external resources. The wide range of creative production and consumption activities that are created from these resources will be unique and endlessly adaptable. (3) The adaptability of cultural-creative clusters should be optimized through programs provide good services and offer support to the urban regeneration. However, such programs and support should not limit the creativity and flexibility of these clusters.
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Tudorica, A., H. Hildebrandt, M. Tewes, et al. "Weak lensing magnification of SpARCS galaxy clusters." Astronomy & Astrophysics 608 (December 2017): A141. http://dx.doi.org/10.1051/0004-6361/201731267.
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Context. Measuring and calibrating relations between cluster observables is critical for resource-limited studies. The mass–richness relation of clusters offers an observationally inexpensive way of estimating masses. Its calibration is essential for cluster and cosmological studies, especially for high-redshift clusters. Weak gravitational lensing magnification is a promising and complementary method to shear studies, that can be applied at higher redshifts. Aims. We aim to employ the weak lensing magnification method to calibrate the mass–richness relation up to a redshift of 1.4. We used the Spitzer Adaptation of the Red-Sequence Cluster Survey (SpARCS) galaxy cluster candidates (0.2 < z < 1.4) and optical data from the Canada France Hawaii Telescope (CFHT) to test whether magnification can be effectively used to constrain the mass of high-redshift clusters. Methods. Lyman-break galaxies (LBGs) selected using the u-band dropout technique and their colours were used as a background sample of sources. LBG positions were cross-correlated with the centres of the sample of SpARCS clusters to estimate the magnification signal, which was optimally-weighted using an externally-calibrated LBG luminosity function. The signal was measured for cluster sub-samples, binned in both redshift and richness. Results. We measured the cross-correlation between the positions of galaxy cluster candidates and LBGs and detected a weak lensing magnification signal for all bins at a detection significance of 2.6–5.5σ. In particular, the significance of the measurement for clusters with z> 1.0 is 4.1σ; for the entire cluster sample we obtained an average M200 of 1.28 -0.21+0.23 × 1014 M⊙. Conclusions. Our measurements demonstrated the feasibility of using weak lensing magnification as a viable tool for determining the average halo masses for samples of high redshift galaxy clusters. The results also established the success of using galaxy over-densities to select massive clusters at z > 1. Additional studies are necessary for further modelling of the various systematic effects we discussed.