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Journal articles on the topic 'Multiple interval graphs'

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1

Butman, Ayelet, Danny Hermelin, Moshe Lewenstein, and Dror Rawitz. "Optimization problems in multiple-interval graphs." ACM Transactions on Algorithms 6, no. 2 (2010): 1–18. http://dx.doi.org/10.1145/1721837.1721856.

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Ardévol Martínez, Virginia, Romeo Rizzi, Florian Sikora, and Stéphane Vialette. "Recognizing unit multiple interval graphs is hard." Discrete Applied Mathematics 360 (January 2025): 258–74. http://dx.doi.org/10.1016/j.dam.2024.09.011.

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3

Gyárfás, A. "On the chromatic number of multiple interval graphs and overlap graphs." Discrete Mathematics 55, no. 2 (1985): 161–66. http://dx.doi.org/10.1016/0012-365x(85)90044-5.

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4

Francis, Mathew C., Daniel Gonçalves, and Pascal Ochem. "The Maximum Clique Problem in Multiple Interval Graphs." Algorithmica 71, no. 4 (2013): 812–36. http://dx.doi.org/10.1007/s00453-013-9828-6.

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Khabyah, Ali Al, Haseeb Ahmad, Ali Ahmad, and Ali N. A. Koam. "A uniform interval-valued intuitionistic fuzzy environment: topological descriptors and their application in neural networks." AIMS Mathematics 9, no. 10 (2024): 28792–812. http://dx.doi.org/10.3934/math.20241397.

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<p>The concept of being uniform strong interval-valued intuitionistic fuzzy (also termed as USIVIF) is an integration of two ideologies, which are called "uniformity" and "strong interval-valued intuitionistic fuzzy sets". Inspired by the study on uniform fuzzy topological indices, it is natural to introduce uniform IVIFTIs. Originally, topological indices were generalized for the fuzzy sets However, the utilization of the interval-valued intuitionistic fuzzy topological indices provides a finer approach, especially if there are multiple uncertainties based on intervals. Consequently, bo
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Bartlett, Sara M., John T. Rapp, and Marissa L. Henrickson. "Detecting False Positives in Multielement Designs." Behavior Modification 35, no. 6 (2011): 531–52. http://dx.doi.org/10.1177/0145445511415396.

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The authors assessed the extent to which multielement designs produced false positives using continuous duration recording (CDR) and interval recording with 10-s and 1-min interval sizes. Specifically, they created 6,000 graphs with multielement designs that varied in the number of data paths, and the number of data points per data path, using a random number generator. In Experiment 1, the authors visually analyzed the graphs for the occurrence of false positives. Results indicated that graphs depicting only two sessions for each condition (e.g., a control condition plotted with multiple test
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Jiang, Minghui, and Yong Zhang. "Parameterized complexity in multiple-interval graphs: Domination, partition, separation, irredundancy." Theoretical Computer Science 461 (November 2012): 27–44. http://dx.doi.org/10.1016/j.tcs.2012.01.025.

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Jiang, Minghui. "On the parameterized complexity of some optimization problems related to multiple-interval graphs." Theoretical Computer Science 411, no. 49 (2010): 4253–62. http://dx.doi.org/10.1016/j.tcs.2010.09.001.

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Alkan, Aslı, Hasan Bulut, and Tolga Aktürk. "The novel numerical solutions of conformable fractional Cahn-Hilliard equation in the presence of advection and reaction terms via the novel hybrid method." Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi 15, no. 1 (2025): 274–85. https://doi.org/10.17714/gumusfenbil.1568128.

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In this paper, the novel numerical method is used to analyze the conformable fractional Cahn-Hilliard equation. The Cahn-Hilliard equation is a mathematical model employed as a crucial tool in mathematical physics, specifically for understanding phase separation phenomena such as spinodal decomposition in systems with multiple phases. This study investigates the convergence and error of the proposed future scheme. The proposed technique produces h-curves that show the series solution's convergence interval. To ascertain the efficacy and appropriateness of this technique, the error analysis has
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10

Li, Gen, Tri-Hai Nguyen, and Jason J. Jung. "Traffic Incident Detection Based on Dynamic Graph Embedding in Vehicular Edge Computing." Applied Sciences 11, no. 13 (2021): 5861. http://dx.doi.org/10.3390/app11135861.

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With a large of time series dataset from the Internet of Things in Ambient Intelligence-enabled smart environments, many supervised learning-based anomaly detection methods have been investigated but ignored the correlation among the time series. To address this issue, we present a new idea for anomaly detection based on dynamic graph embedding, in which the dynamic graph comprises the multiple time series and their correlation in each time interval. We propose an entropy for measuring a graph’s information injunction with a correlation matrix to define similarity between graphs. A dynamic gra
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Cardoza, Jacqueline E., Carina J. Gronlund, Justin Schott, Todd Ziegler, Brian Stone, and Marie S. O’Neill. "Heat-Related Illness Is Associated with Lack of Air Conditioning and Pre-Existing Health Problems in Detroit, Michigan, USA: A Community-Based Participatory Co-Analysis of Survey Data." International Journal of Environmental Research and Public Health 17, no. 16 (2020): 5704. http://dx.doi.org/10.3390/ijerph17165704.

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The objective of the study was to investigate, using academic-community epidemiologic co-analysis, the odds of reported heat-related illness for people with (1) central air conditioning (AC) or window unit AC versus no AC, and (2) fair/poor vs. good/excellent reported health. From 2016 to 2017, 101 Detroit residents were surveyed once regarding extreme heat, housing and neighborhood features, and heat-related illness in the prior 5 years. Academic partners selected initial confounders and, after instruction on directed acyclic graphs, community partners proposed alternate directed acyclic grap
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12

Mirnenko, V., P. Yablonsky, V. Tyurin, A. Salii, O. Avramenko, and M. Kasianenko. "Determination of Efficiency of Weapon Systems Maintenance as Condition for DM Distribution." Advances in Military Technology 17, no. 2 (2022): 325–39. http://dx.doi.org/10.3849/aimt.01463.

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The article discusses the mathematical model of technical condition-based maintenance of weapon systems. The model his developed based on a semi-Markov stochastic process. The diffusion-monotonic (DM) distribution law, which is specific for airfield technical condition-based maintenance of aircraft, is has been used as a failure model, and type I errors are considered. For standard operating conditions, graphs of the dependence of the coefficient of technical use and specific costs per hour of operation in good condition from the basic parameters are shown. The optimal maintenances interval en
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Castelnovo, A., R. Ferri, K. Tanioka, et al. "1122 Sleep Architecture and Leg Movement Activity During Sleep in Patients with Multiple Sclerosis." Sleep 43, Supplement_1 (2020): A427—A428. http://dx.doi.org/10.1093/sleep/zsaa056.1117.

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Abstract Introduction Although sleep in patients with Multiple Sclerosis (MS) has been investigated in several studies using subjective measures, objective sleep data collected using polysomnography (PSG) are still scanty and often divergent. We herein present the largest study to date evaluating sleep architecture and total leg movement activity during sleep (LMS) in patients with MS. Methods We collected PSG recordings from 80 patients affected by multiple sclerosis (MS, 48.1±10.61yo 67.5% females), and 60 age and gender matched healthy control subjects (HC, 48.5±17.20 yo, 56% females). Grou
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Milac, Thomas I., Frederick R. Adler, and Gerald R. Smith. "Maximal Power Tests for Detecting Defects in Meiotic Recombination." Genetics 161, no. 3 (2002): 1333–37. http://dx.doi.org/10.1093/genetics/161.3.1333.

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Abstract We have determined the marker separations (genetic distances) that maximize the probability, or power, of detecting meiotic recombination deficiency when only a limited number of meiotic progeny can be assayed. We find that the optimal marker separation is as large as 30–100 cM in many cases. Provided the appropriate marker separation is used, small reductions in recombination potential (as little as 50%) can be detected by assaying a single interval in as few as 100 progeny. If recombination is uniformly altered across the genomic region of interest, the same sensitivity can be obtai
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Hussam, Eslam, Randa Alharbi, Ehab M. Almetwally, Bader Alruwaili, Ahmed M. Gemeay, and Fathy H. Riad. "Single and Multiple Ramp Progressive Stress with Binomial Removal: Practical Application for Industry." Mathematical Problems in Engineering 2022 (April 28, 2022): 1–21. http://dx.doi.org/10.1155/2022/9558650.

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The objective of this article is to conduct a full study on the failure times of items when subjected to a progressive-stress accelerated life test. These failure times follow the Modified Kies exponential distribution. We performed the experiments under a type-II censoring scheme with binomial removal. The stress design has two ways to be applied either the simple ramp-stress test or the multiple ramp-stress level design of acceleration. We made a comparison between these two designs to decide which design is better. When the lifetime of test units follows the Modified Kies distributions, the
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16

Bosma, LVAE, JJ Kragt, L. Brieva, et al. "Progression on the Multiple Sclerosis Functional Composite in multiple sclerosis: what is the optimal cut-off for the three components?" Multiple Sclerosis Journal 16, no. 7 (2010): 862–67. http://dx.doi.org/10.1177/1352458510370464.

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For the Timed 25-Foot Walk (T25FW) and 9-Hole Peg Test (9HPT), components of the Multiple Sclerosis Functional Composite (MSFC), cut-off points of 20% change have previously been defined as meaningful endpoints of functional decline. Recently, however, a 15% change of MSFC components was introduced. The objective of this study was to determine optimal cut-offs for all MSFC components to indicate clinical disease progression in a primary progressive (PP) multiple sclerosis (MS) population. T25FW, 9HPT and the Paced Auditory Serial Addition Test (PASAT) were performed in 161 patients with PPMS w
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17

Hanaka, Tesshu, Masashi Kiyomi, Yasuaki Kobayashi, Yusuke Kobayashi, Kazuhiro Kurita, and Yota Otachi. "A Framework to Design Approximation Algorithms for Finding Diverse Solutions in Combinatorial Problems." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (2023): 3968–76. http://dx.doi.org/10.1609/aaai.v37i4.25511.

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Finding a \emph{single} best solution is the most common objective in combinatorial optimization problems. However, such a single solution may not be applicable to real-world problems as objective functions and constraints are only ``approximately'' formulated for original real-world problems. To solve this issue, finding \emph{multiple} solutions is a natural direction, and diversity of solutions is an important concept in this context. Unfortunately, finding diverse solutions is much harder than finding a single solution. To cope with the difficulty, we investigate the approximability of fin
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18

Wu, Jieying, Shan Ye, Xiangyi Liu, Yingsheng Xu, and Dongsheng Fan. "The burden of upper motor neuron involvement is correlated with the bilateral limb involvement interval in patients with amyotrophic lateral sclerosis: a retrospective observational study." Neural Regeneration Research 20, no. 5 (2024): 1505–12. http://dx.doi.org/10.4103/nrr.nrr-d-23-01359.

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JOURNAL/nrgr/04.03/01300535-202505000-00032/figure1/v/2024-07-28T173839Z/r/image-tiff Amyotrophic lateral sclerosis is a rare neurodegenerative disease characterized by the involvement of both upper and lower motor neurons. Early bilateral limb involvement significantly affects patients’ daily lives and may lead them to be confined to bed. However, the effect of upper and lower motor neuron impairment and other risk factors on bilateral limb involvement is unclear. To address this issue, we retrospectively collected data from 586 amyotrophic lateral sclerosis patients with limb onset diagnosed
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19

Deriba, Berhanu Senbeta, Elias Teferi Bala, Gizachew Abdissa Bulto, et al. "Determinants of Anemia among Pregnant Women at Public Hospitals in West Shewa, Central Ethiopia: A Case-Control Study." Anemia 2020 (November 28, 2020): 1–9. http://dx.doi.org/10.1155/2020/2865734.

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Introduction. Anemia is highly dominant among pregnant women due to the need for iron for women themselves and their fetuses. Nearly half a billion globally and around one-third in Ethiopia of pregnant women were affected by anemia which has both health and economic impact. Therefore, this study aimed to identify the determinants of anemia among pregnant women attending antenatal care at public hospitals in the West Shewa zone, Oromia regional state, Central Ethiopia, 2019. Methods. An unmatched case-control study was conducted at public hospitals in the West Shewa zone, Ethiopia, from Februar
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20

Li, Cheng, Wenbo Pan, Xiwen Yuan, et al. "High-Precision Map Construction in Degraded Long Tunnel Environments of Urban Subways." Remote Sensing 16, no. 5 (2024): 809. http://dx.doi.org/10.3390/rs16050809.

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In response to the demand for high-precision point cloud mapping of subway trains in long tunnel degradation scenarios in major urban cities, we propose a map construction method based on LiDAR and inertial measurement sensors. This method comprises a tightly coupled frontend odometry system based on error Kalman filters and backend optimization using factor graphs. In the frontend odometry, inertial calculation results serve as predictions for the filter, and residuals between LiDAR points and local map plane point clouds are used for filter updates. The global pose graph is constructed based
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21

Wang, Lin, Nanfang Li, Mulalibieke Heizhati, et al. "Association of Depression with Uncontrolled Hypertension in Primary Care Setting: A Cross-Sectional Study in Less-Developed Northwest China." International Journal of Hypertension 2021 (March 27, 2021): 1–9. http://dx.doi.org/10.1155/2021/6652228.

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Background. Hypertensive patients commonly experience comorbid depression, which is closely associated with adverse health outcomes. This study aimed to examine the association between depression and uncontrolled hypertension in primary care setting of Northwest China. Methods. We used a stratified multistage random sampling method to obtain 1856 hypertensives subjects aged ≥18 years among primary care setting in Xinjiang, Northwest China, between April and October 2019. Depression was evaluated by Hospital Anxiety and Depression Scale (HADS), with a cut-off score ≥8. We related depression to
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22

Kuipers, J., G. Moffa, E. Kuipers, D. Freeman, and P. Bebbington. "Links between psychotic and neurotic symptoms in the general population: an analysis of longitudinal British National Survey data using Directed Acyclic Graphs." Psychological Medicine 49, no. 3 (2018): 388–95. http://dx.doi.org/10.1017/s0033291718000879.

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AbstractBackgroundNon-psychotic affective symptoms are important components of psychotic syndromes. They are frequent and are now thought to influence the emergence of paranoia and hallucinations. Evidence supporting this model of psychosis comes from recent cross-fertilising epidemiological and intervention studies. Epidemiological studies identify plausible targets for intervention but must be interpreted cautiously. Nevertheless, causal inference can be strengthened substantially using modern statistical methods.MethodsDirected Acyclic Graphs were used in a dynamic Bayesian network approach
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23

Waters, Erika A., Julia Maki, Ying Liu, et al. "Risk Ladder, Table, or Bulleted List? Identifying Formats That Effectively Communicate Personalized Risk and Risk Reduction Information for Multiple Diseases." Medical Decision Making 41, no. 1 (2020): 74–88. http://dx.doi.org/10.1177/0272989x20968070.

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Background Personalized medicine may increase the amount of probabilistic information patients encounter. Little guidance exists about communicating risk for multiple diseases simultaneously or about communicating how changes in risk factors affect risk (hereafter “risk reduction”). Purpose To determine how to communicate personalized risk and risk reduction information for up to 5 diseases associated with insufficient physical activity in a way laypeople can understand and that increases intentions. Methods We recruited 500 participants with <150 min weekly of physical activity from commun
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Hajrulla, Shkelqim, Erind Bedalli, Robert Kosova, Mikaela Cela, and Loubna Ali. "DYNAMIC PROCESSES THROUGH THE MATHEMATICAL MODELS AND NUMERICAL EVALUATIONS." Jurnal Ilmiah Ilmu Terapan Universitas Jambi 9, no. 1 (2025): 199–215. https://doi.org/10.22437/jiituj.v9i1.37049.

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This article deals with analytical and numerical methods, particularly focusing on their application in solving displacement problem using mathematical models. This is a study on the evaluation of material damping ratios obtained from experimental data and laboratory tests, an essential criterion to reproduce reality in virtual simulations done for our computational models. The methodology involves iteratively seeking optimal solutions through multiple simulations, providing a way to estimate dynamic responses accurately. The article concludes by emphasizing the importance of numerical-steppin
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Guddu, Dessalegn Keney, and Dereje Bayissa Demissie. "Patient satisfaction with referral service and associated factors among public hospitals in and around Addis Ababa, Central Ethiopia." SAGE Open Medicine 10 (January 2022): 205031212210894. http://dx.doi.org/10.1177/20503121221089443.

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Objective: Studies in sub-Saharan Africa have shown that patient satisfaction with referral procedures and systems is low due to multiple factors. Despite the challenges on patient satisfaction with referral service in Ethiopia, there are only limited studies on overall satisfaction and associated factors with referral services of the hospitals. The purpose of this study was to determine patient satisfaction with referral services and related characteristics among patients referred to referral hospitals in Central Ethiopia, in the year 2021. Methods: A facility-based multi-center cross-section
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Mansoor Sultan, Mir, Adeeba Younus, Durre Shahwar Fatima, Faria Mushtaq, and Salma Tasneem. "CLINICAL OBSERVATION OF TREATMENT EFFICACY IN SEPSIS: A PROSPECTIVE STUDY." International Journal of Advanced Research 12, no. 02 (2024): 265–71. http://dx.doi.org/10.21474/ijar01/18291.

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Objective: To examine the safety and efficacy associated with various treatment approaches and to identify trends and variations in the management of severe sepsis, including the usage of antibiotics, and supportive care. To examine factors associated with improved or worsened outcomes in severe sepsis cases, such as patient demographics, comorbidities, or timing of treatment. Design: A hospital-based prospective study was done on all inpatients and outpatients in Princess DurruShehvar Childrens & General Hospital, Hyderabad, Telangana for 6 months. Methods: The data collection form and pa
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Chuko, Bacha Merga, Fikru Assefa Kibrat, Zufela Sime Gari, et al. "Determinants of Syphilis among Pregnant Women Attending Antenatal Care Clinic at Public Hospital in South West Shoa, Ethiopia, Unmatched Case-control Study, 2023." Archives of Obstetrics and Gynaecology 5, no. 3 (2024): 129–39. http://dx.doi.org/10.33696/gynaecology.5.072.

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Background: Syphilis is an infectious, sexually transmitted disease caused by the Spirochete Treponema palladium. Untreated maternal syphilis causes adverse pregnancy outcomes such as spontaneous miscarriage, low birth weight, neonatal death, and congenital syphilis. This is a limited case control study to identify determinants of syphilis infections at the study area. Objectives: The aim of this study is to identify determinants of syphilis infections among pregnant women attending ANC clinic at Public hospital in South West Shoa, Ethiopia, 2023. Methods: A facility based unmatched case-contr
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28

Kuo, Chung-Feng Jeffrey, Te-Li Su, Chao-Yang Huang, Han-Chang Liu, Jagadish Barman, and Indira Kar. "Design and Development of a Symbiotic Agrivoltaic System for the Coexistence of Sustainable Solar Electricity Generation and Agriculture." Sustainability 15, no. 7 (2023): 6011. http://dx.doi.org/10.3390/su15076011.

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The symbiotic photovoltaic (PV) electrofarming system introduced in this study is developed for the PV setup in an agriculture farming land. The study discusses the effect of different PV system design conditions influenced by annual sunhours on agricultural farm land. The aim is to increase the sunhours on the PV panel for optimized electricity generation. Therefore, this study combines the Taguchi method with Grey Relational Analysis (GRA) to optimize the two quality characteristics of the symbiotic electrofarming PV system with the best design parameter combination. The selected multiple qu
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29

Adomah-Afari, Augustine, and Ebenezer Arkoh Ameyaw. "The Push and Pull Factors in the Retention of Health Workers in a District in Ghana." Asian Journal of Research in Medical and Pharmaceutical Sciences 12, no. 4 (2023): 104–21. http://dx.doi.org/10.9734/ajrimps/2023/v12i4235.

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Aim: To assess the push and pull factors associated with the retention of health workers in a district in Ghana.
 Study Design: This study was an analytical cross-sectional study using quantitative methods in the collection of data.
 Place and Duration of Study: Komenda-Edina-Eguafo-Abirem District of the Central Region of Ghana in October 2022.
 Methodology: A structured self-administered questionnaire was used to obtain data from 282 health workers who were consecutively selected from various health facilities in the study. The data collected was cleaned and analyzed using the
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30

Deriba, Berhanu Senbeta, Agumas Fentahun Ayalew, and Addis Adera Gebru. "Determinants of preterm birth in public hospitals in central Ethiopia: an unmatched case-control study." F1000Research 10 (August 6, 2021): 773. http://dx.doi.org/10.12688/f1000research.50974.1.

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Background: Around 15 million babies are born prematurely in the world every year. The most common cause of neonatal death in Ethiopia is premature birth. To reduce the rate of preterm delivery by correcting modifiable or preventable causes, the availability of local data is important. Hence, this study aimed to identify the determinants of preterm birth among women who gave birth in public hospitals in central Ethiopia. Methods: An Institutional-based unmatched case-control study was conducted at public hospitals in central Ethiopia to select 170 cases and 340 controls. The collected data wer
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31

Alekseev, Valery I. "Forecasting changes in the earth’s climate system by instrumental measurements and paleodata in the phase-time region, consistent with changes in the barycentric motions of the sun. Part 1." Yugra State University Bulletin 20, no. 2 (2024): 74–96. http://dx.doi.org/10.18822/byusu20240274-96.

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The relevance of the research is due to the need to establish the root cause of climate change on Earth and predict changes in heliocosmic, climatic variables, natural disasters by intramental measurements and paleodata, as time series, for long intervals of the time horizon in the phase domain, taking into account their cyclicity and interdependence of changes. Purpose of research: application of the time series analysis method of the time series to establish the strength of the influence of the barycentric movements of the Sun on the variability of heliocosmic, climatic variables, natural di
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32

Rifkin, Robert M., Rafat Abonour, Brian G. M. Durie, et al. "Treatment Patterns from 2009 to 2015 in Patients with Newly Diagnosed Multiple Myeloma in the United States: A Report from the Connect® MM Registry." Blood 128, no. 22 (2016): 4489. http://dx.doi.org/10.1182/blood.v128.22.4489.4489.

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Abstract Introduction: Between 2009 and 2015, use of novel therapies (immunomodulating drugs and proteasome inhibitors) in multiple myeloma (MM) increased. Regimens initiated during this time frame may help project near-term future treatment patterns. Connect® MM is the first and largest prospective, observational, US-based, multicenter disease registry designed to characterize treatment patterns and outcomes for patients (pts) with newly diagnosed MM (NDMM). Pts with NDMM were enrolled in 2 sequential cohorts from Sep 2009 to Apr 2016. This noninterventional registry did not prescribe or limi
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Nishimwe, Jean Claude. "Monitoring and Evaluation Practices and Performance of Environmental Project in Nyabitekeri Sector, Rwanda. A Case of Environment and Climate Change Fund Project." Journal of Entrepreneurship & Project Management 6, no. 5 (2022): 92–102. http://dx.doi.org/10.53819/81018102t4086.

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Assessment of projects monitoring and evaluation practice processes an effect on performance is critical in identifying opportunities for improved Monitoring and Evaluation (M & E) project plan. The effects of degradation arise from poor land use practices such as deforestation which lead to soil erosion. Other existing challenges include minimal capacity in terms of facility, information, manpower and funding for effective rivers and watershed management. The general objective of the study is to assess role of monitoring and evaluation practices on performance of environmental project in
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Kulik, Anatoliy, Sergey Pasichnik, and Dmytro Sokol. "MODELING OF PHYSICAL PROCESSES OF ENERGY CONVERSION IN SMALL-SIZED VORTEX ENERGY SEPARATORS." Aerospace technic and technology, no. 1 (February 26, 2021): 20–30. http://dx.doi.org/10.32620/aktt.2021.1.03.

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The object of study in the article is the vortex effect of temperature separation in a rotating gas flow, which is realized in small-sized vortex energy separators. The subject matter is the models that describe the physical processes of energy conversion in small-sized vortex energy separators as objects of automatic control. The goal is to obtain models of a vortex energy separator reflecting its static and dynamic properties as an automatic control object. The tasks to be solved are: to develop a three-dimensional computer model of a small-sized vortex energy separator which will allow anal
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Eduafo, Augusta, Leland Metheny, James Driscoll, et al. "Patient Selection Bias Limits the Real World Efficacy of Randomized Clinical Trials in Multiple Myeloma." Blood 136, Supplement 1 (2020): 1–2. http://dx.doi.org/10.1182/blood-2020-139856.

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Randomized clinical trials (RCT) are imperative for testing novel cancer therapies and advancing the science of cancer care. Exclusion criteria are employed to minimize toxicity and maximize benefit. However, the selection process introduces a deviation between enrolled patients (pts) and the real world population. Estimating how much the selected population deviates from the MM cohort at large may increase inclusiveness and could help define barriers to recruiting to MM studies. There has been significant advancement in treating Multiple Myeloma (MM) during the last decade. Over 16 FDA-approv
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Kuenzig, E., S. G. Fung, L. Marderfeld, et al. "A25 THE RISING GLOBAL INCIDENCE OF PEDIATRIC INFLAMMATORY BOWEL DISEASE: A SYSTEMATIC REVIEW OF POPULATION-BASED STUDIES." Journal of the Canadian Association of Gastroenterology 4, Supplement_1 (2021): 144–45. http://dx.doi.org/10.1093/jcag/gwab002.024.

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Abstract Background The incidence of inflammatory bowel disease (IBD), including Crohn’s disease (CD) and ulcerative colitis (UC), is increasing internationally, particularly in developing nations where rates were historically low. Previous reports of the incidence and prevalence of pediatric-onset IBD have identified a paucity of population-based studies. Aims We reviewed the global trends in incidence of pediatric IBD using evidence from population-based studies. Methods (PROSPERO CRD42019125193) We systematically reviewed studies indexed in MEDLINE, EMBASE, Airiti Library, and SciELO from 0
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Caelers, Inge, Toon Boselie, Wouter van Hemert, Kim Rijkers, Rob De Bie, and Henk van Santbrink. "The Variability of Lumbar Sequential Motion Patterns: Observational Study." JMIR Biomedical Engineering 8 (June 20, 2023): e41906. http://dx.doi.org/10.2196/41906.

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Background Physiological motion of the lumbar spine is a topic of interest for musculoskeletal health care professionals since abnormal motion is believed to be related to lumbar complaints. Many researchers have described ranges of motion for the lumbar spine, but only few have mentioned specific motion patterns of each individual segment during flexion and extension, mostly comprising the sequence of segmental initiation in sagittal rotation. However, an adequate definition of physiological motion is still lacking. For the lower cervical spine, a consistent pattern of segmental contributions
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Felister, Wambui, and Sije Antony. "INFLUENCE OF STRATEGIC SENSITIVITY ON ORGANIZATION PERFORMANCE OF PUBLIC INSTITUTIONS IN KENYA: A CASE OF NAIROBI WATER COMPANY." International Journal of Social Science and Humanities Research 11, no. 4 (2023): 236–44. https://doi.org/10.5281/zenodo.10068591.

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<strong>Abstract:</strong> This study sought to establish the influence of strategic sensitivity on organization performance of public institutions in Kenya: a case of Nairobi Water Company. The study adopted a case study research design. The target population was the employees at Nairobi Water Company. This study adopted stratified sampling technique to choose a representative sample of eighteen respondents (8 directors, and 10 managers from crucial departments. A semi structured questionnaire as the main instrument of collecting primary data from directors and managers at the Nairobi Water C
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Kashyap, Suresh Pradhyun, Derek M. Heeren, Mitch S. Maguire, et al. "Diurnal Soybean Water Stress Computed Using Statistical-Based Thermal Indices With High-Frequency Unmanned Aircraft Flights." Journal of Natural Resources and Agricultural Ecosystems 1, no. 1 (2023): 33–48. http://dx.doi.org/10.13031/jnrae.15465.

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Highlights High-frequency UAS thermal data can identify the temporal nature of the spatial canopy stress patterns for soybean. Thermal indices were calculated using the statistical approach from the lower and upper bounds of confidence interval. The CWSI Histogram Approach (UAS) was compared to the CWSI Empirical Approach (IRT). The distribution of canopy temperature (using the inter-quartile range) may be useful for irrigation management. Abstract. The use of unmanned aerial systems (UAS) in the field of irrigation management has been increasing rapidly. Due to their ability to capture multi-
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Tao, Wang, and Liu Yang. "Multiview Community Discovery Algorithm via Nonnegative Factorization Matrix in Heterogeneous Networks." Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/8596893.

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With the rapid development of the Internet and communication technologies, a large number of multimode or multidimensional networks widely emerge in real-world applications. Traditional community detection methods usually focus on homogeneous networks and simply treat different modes of nodes and connections in the same way, thus ignoring the inherent complexity and diversity of heterogeneous networks. It is challenging to effectively integrate the multiple modes of network information to discover the hidden community structure underlying heterogeneous interactions. In our work, a joint nonneg
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Fernández-Castilla, Belén, Lies Declercq, Laleh Jamshidi, Susan Natasha Beretvas, Patrick Onghena, and Wim Van den Noortgate. "Visual representations of meta-analyses of multiple outcomes: Extensions to forest plots, funnel plots, and caterpillar plots." Methodology 16, no. 4 (2020): 299–315. http://dx.doi.org/10.5964/meth.4013.

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Meta-analytic datasets can be large, especially when in primary studies multiple effect sizes are reported. The visualization of meta-analytic data is therefore useful to summarize data and understand information reported in primary studies. The gold standard figures in meta-analysis are forest and funnel plots. However, none of these plots can yet account for the existence of multiple effect sizes within primary studies. This manuscript describes extensions to the funnel plot, forest plot and caterpillar plot to adapt them to three-level meta-analyses. For forest plots, we propose to plot the
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Piper, Joe D., Clever Mazhanga, Marian Mwapaura, et al. "Growth, physical, and cognitive function in children who are born HIV-free: School-age follow-up of a cluster-randomised trial in rural Zimbabwe." PLOS Medicine 21, no. 10 (2024): e1004347. http://dx.doi.org/10.1371/journal.pmed.1004347.

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Background Globally, over 16 million children were exposed to HIV during pregnancy but remain HIV-free at birth and throughout childhood by 2022. Children born HIV-free (CBHF) have higher morbidity and mortality and poorer neurodevelopment in early life compared to children who are HIV-unexposed (CHU), but long-term outcomes remain uncertain. We characterised school-age growth, cognitive and physical function in CBHF and CHU previously enrolled in the Sanitation Hygiene Infant Nutrition Efficacy (SHINE) trial in rural Zimbabwe. Methods and findings The SHINE trial enrolled pregnant women betwe
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Li, Zeqian. "Research on the Application Strategies of Short-Term Cost Curves in the Field of Economics." Proceedings of Business and Economic Studies 8, no. 2 (2025): 141–47. https://doi.org/10.26689/pbes.v8i2.10301.

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This paper deeply explores the application strategies of short-term cost curves in the field of economics. Firstly, it elaborates on the basic theories and constituent elements of short-term cost curves. By drawing and analyzing the short-term cost curve graphs, it presents the internal relationship between costs and output. Then, it focuses on researching its application strategies in multiple aspects such as enterprise production decisions, market pricing, and industry competition analysis.
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FENG, YING, ROBERT L. GOLDSTONE, and VLADIMIR MENKOV. "A GRAPH MATCHING ALGORITHM AND ITS APPLICATION TO CONCEPTUAL SYSTEM TRANSLATION." International Journal on Artificial Intelligence Tools 14, no. 01n02 (2005): 77–99. http://dx.doi.org/10.1142/s0218213005002004.

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ABSURDIST II, an extension to ABSURDIST, is an algorithm using attributed graph matching to find translations between conceptual systems. It uses information about the internal structure of systems by itself, or in combination with external information about concept similarities across systems. It supports systems with multiple types of weighted or unweighted, directed or undirected relations between concepts. The algorithm exploits graph sparsity to improve computational efficiency. We present the results of experiments with a number of conceptual systems, including artificially constructed r
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Kural, Saim. "Investigation of 3:1 and 2:1 internal resonances in fluid conveying microbeam." Tehnički glasnik 12, no. 1 (2018): 18–26. http://dx.doi.org/10.31803/tg-20180131225708.

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Microbeams are widely used in micro-electro-mechanical systems (MEMS). These systems are alternatives to piezo-resistive sensors because of their high sensitivity and low power consumption. Unlike with the classical theory of continuous media, in order to see the effects of the system being micro-sized, the effect of micro-structure was added to the system based on the modified couple stress theory (MCST) for fluid conveying microbeam. By using Hamilton’s principle, the nonlinear equations of motion for the fluid conveying micro beam were obtained. Microbeam was investigated under electrical f
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Subbarao, K., and M. Ahmed. "Target tracking using multiple unmanned aerial vehicles: Graph theoretic nonlinear control approach." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 3 (2016): 570–86. http://dx.doi.org/10.1177/0954410016641321.

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This paper develops a cooperative controller for multiple Unmanned Aerial Vehicles (UAVs) with application to target tracking. The cooperation between the UAVs is established based on an algebraic graph connection and the target information is provided externally by pinning it into a subset of the network. A backstepping-like technique is employed to design a consensus-based controller for each UAV in order to achieve target tracking in 3-D. The proposed controller computes commanded signals for the speed, flight path angle, and heading angle to track the target. The paper considers both the c
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Yan, Songcai, Xinjun Hu, and Qinyuan Xue. "Dual Task Semi-supervised Pancreatic Segmentation Based on Prior Information and Multiple Regularization." Mathematical Modeling and Algorithm Application 2, no. 1 (2024): 11–19. http://dx.doi.org/10.54097/p6445f38.

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Due to the relatively small size and complex internal structure of the pancreas, the segmentation is often inaccurate during image processing. A more effective automatic segmentation method is proposed to solve this problem. A multi-task deep neural network architecture based on V-Net architecture is proposed. By capturing the relationship between the prior positions of the pancreas, the target of the pancreas can be constrained at the regional level. In addition, this study uses dual task training methods to simultaneously perform segmentation tasks and regression tasks, and generate high-qua
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Udomsrirungruang, Thien, and Nobuko Yoshida. "Top-Down or Bottom-Up? Complexity Analyses of Synchronous Multiparty Session Types." Proceedings of the ACM on Programming Languages 9, POPL (2025): 1040–71. https://doi.org/10.1145/3704872.

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Multiparty session types (MPST) provide a type discipline for ensuring communication safety, deadlock-freedom and liveness for multiple concurrently running participants. The original formulation of MPST takes the top-down approach, where a global type specifies a bird’s eye view of the intended interactions between participants, and each distributed process is locally type-checked against its end-point projection. A more recent one takes the bottom-up approach, where a desired property of a set of participants is ensured if the same property is true for an ensemble of end-point types (a typin
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Bhattacharya, S., C. Braun, and U. Leopold. "A TENSOR BASED FRAMEWORK FOR LARGE SCALE SPATIO-TEMPORAL RASTER DATA PROCESSING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W14 (August 23, 2019): 3–9. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w14-3-2019.

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Abstract. In this paper, we address the curse of dimensionality and scalability issues while managing vast volumes of multidimensional raster data in the renewable energy modeling process in an appropriate spatial and temporal context. Tensor representation provides a convenient way to capture inter-dependencies along multiple dimensions. In this direction, we propose a sophisticated way of handling large-scale multi-layered spatio-temporal data, adopted for raster-based geographic information systems (GIS). We chose Tensorflow, an open source software library developed by Google using data fl
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Fu, Chenchen, Peng Wu, Minming Li, Chun Jason Xue, Yingchao Zhao, and Song Han. "Real-Time Data Retrieval With Multiple Availability Intervals in CPS Under Freshness Constraints." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 37, no. 11 (2018): 2743–54. http://dx.doi.org/10.1109/tcad.2018.2857378.

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