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Journal articles on the topic 'Time and resources'

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1

Trung, Tran Thai, Seon-Ju Ahn, and Joon-Ho Choi. "Real Time Simulation of Distribution System with Distributed Energy Resources." Journal of Clean Energy Technologies 3, no. 1 (2015): 57–61. http://dx.doi.org/10.7763/jocet.2015.v3.169.

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2

Qureshi, Muhammad Shuaib, Muhammad Bilal Qureshi, Muhammad Fayaz, Muhammad Zakarya, Sheraz Aslam, and Asadullah Shah. "Time and Cost Efficient Cloud Resource Allocation for Real-Time Data-Intensive Smart Systems." Energies 13, no. 21 (2020): 5706. http://dx.doi.org/10.3390/en13215706.

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Cloud computing is the de facto platform for deploying resource- and data-intensive real-time applications due to the collaboration of large scale resources operating in cross-administrative domains. For example, real-time systems are generated by smart devices (e.g., sensors in smart homes that monitor surroundings in real-time, security cameras that produce video streams in real-time, cloud gaming, social media streams, etc.). Such low-end devices form a microgrid which has low computational and storage capacity and hence offload data unto the cloud for processing. Cloud computing still lacks mature time-oriented scheduling and resource allocation strategies which thoroughly deliberate stringent QoS. Traditional approaches are sufficient only when applications have real-time and data constraints, and cloud storage resources are located with computational resources where the data are locally available for task execution. Such approaches mainly focus on resource provision and latency, and are prone to missing deadlines during tasks execution due to the urgency of the tasks and limited user budget constraints. The timing and data requirements exacerbate the efficient task scheduling and resource allocation problems. To cope with the aforementioned gaps, we propose a time- and cost-efficient resource allocation strategy for smart systems that periodically offload computational and data-intensive load to the cloud. The proposed strategy minimizes the data files transfer overhead to computing resources by selecting appropriate pairs of computing and storage resources. The celebrated results show the effectiveness of the proposed technique in terms of resource selection and tasks processing within time and budget constraints when compared with the other counterparts.
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3

Hughes, Julie. "Singing Hands Book of Songs and Song Time CD, Volumes 1 & 2." Down Syndrome Research and Practice 12, no. 2 (2008): 127. http://dx.doi.org/10.3104/resources.2082.

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4

Gaynor, Gus. "Innovation resources-one more time." IEEE Engineering Management Review 45, no. 2 (2017): 6–8. http://dx.doi.org/10.1109/emr.2017.2709350.

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Cai, Yi Ming. "Time and Space Warp Characteristics of Resources Utilization." Applied Mechanics and Materials 295-298 (February 2013): 2690–95. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.2690.

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We are able to recognize an interesting characteristic of resource utilization by means of time definition and analysis of human utilization of resources. The characteristic is that the utilization of resources have the characteristics of time and space warp from both the view points of depth space resource of the time concept of time-point, the time concept of time-point circulation and circulation of point-to-point in one hand, and also breadth space resource of the short-term periodic time cycle, medium-time periodic time cycle and long-time periodic cycle in the other.
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6

Tautenhahn, T., and G. J. Woeginger. "Unit-time scheduling problems with time dependent resources." Computing 58, no. 2 (1997): 97–111. http://dx.doi.org/10.1007/bf02684434.

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7

Tkachev, A. V., D. V. Rundqvist, and N. A. Vishnevskaya. "Global metallogeny of tantalum through geological time." Геология рудных месторождений 61, no. 6 (2019): 19–37. http://dx.doi.org/10.31857/s0016-777061619-37.

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The distribution of tantalum-bearing mineral deposits and their tantalum resources are analyzed on the geological time scale. The sampling list includes 65 mineral deposits with their individual resource estimations above two thousand tonnes of Ta2О5. The used classification of the deposits includes five types: pegmatitic, granitic, alkaligranitic, foidic, and carbonatitic ones. Placers and ore-bearing weathering crusts are considered together with their endogenous hard ore sources. The geohistorical variability in tantalum metallogeny is presented through a comparison of supercontinent cycles. The Rodinian cycle gives the most significant amount of the resources with the lions share concentrated in exceptionally voluminous deposits of the foidic type. In descending order, it is followed by the Pangean and Columbian cycles, with the alkaligranitic and foidic types dominating in their resources. The Kenoran cycle, which is next in our resource ranging, stands out for its monotypic presentation, because only pegmatite tantalum deposits were generated in it. The current Amasian cycle has the smallest resource amount which is accounted for by the cycles incompleteness. The Amasian-aged resources are distributed between the alkaligranitic, granitic, and pegmatitic deposit types more or less evenly. In general, the pegmatitic and granitic types resources are of primary importance for tantalum extraction due to their mineralogical peculiarities. The pegmatitic type tantalum deposits were generated in all the cycles, while the granitic type objects were formed in the Pangean and Amasian cycles only. The most considerable resources concentrated in these two deposit types belong to the Kenoran and Pangean cycles.
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8

Nudtasomboon, Nudtapon, and Sabah U. Randhawa. "Resource-constrained project scheduling with renewable and non-renewable resources and time-resource tradeoffs." Computers & Industrial Engineering 32, no. 1 (1997): 227–42. http://dx.doi.org/10.1016/s0360-8352(96)00212-4.

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9

Lisnianski, A., and A. Jeager. "Time-redundant system reliability under randomly constrained time resources." Reliability Engineering & System Safety 70, no. 2 (2000): 157–66. http://dx.doi.org/10.1016/s0951-8320(00)00054-5.

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10

Segerstrom, Suzanne C., and Daniel R. Evans. "Happy all the time? Affect, resources, and time use." Emotion 16, no. 7 (2016): 941–44. http://dx.doi.org/10.1037/emo0000187.

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11

Subramanian, Anand, Manuel J. Garcia, Duncan S. Callaway, Kameshwar Poolla, and Pravin Varaiya. "Real-Time Scheduling of Distributed Resources." IEEE Transactions on Smart Grid 4, no. 4 (2013): 2122–30. http://dx.doi.org/10.1109/tsg.2013.2262508.

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12

Sullivan, Dori Taylor. "The Interaction of Resources in Time." Creative Nursing 15, no. 2 (2009): 59–60. http://dx.doi.org/10.1891/1078-4535.15.2.59.

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13

Jones, David. "Time series analysis in water resources." Advances in Water Resources 10, no. 1 (1987): 54. http://dx.doi.org/10.1016/0309-1708(87)90008-x.

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14

Waring, George O. "So Many Resources...So Little Time." Journal of Refractive Surgery 19, no. 3 (2003): 387. http://dx.doi.org/10.3928/1081-597x-20030501-22.

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15

Chinn, Peggy L. "Return on time investment: Productivity resources." Nurse Author & Editor 31, no. 2 (2021): 28–32. http://dx.doi.org/10.1111/nae2.19.

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Nicoll, Leslie, Sulochana Naidoo, and Qing Yang. "Return on time investment: Research resources." Nurse Author & Editor 31, no. 1 (2021): 21–25. http://dx.doi.org/10.1111/nae2.18.

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Nicoll, Leslie H. "Return on time investment: Writing resources." Nurse Author & Editor 31, no. 1 (2021): 16–20. http://dx.doi.org/10.1111/nae2.17.

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18

Ge, J. H., W. Y. Li, Y. P. Shi, T. Q. Duan, and Y. Q. Chen. "Research on Optimization Method of Real-Time Available Resources for Dynamic Scheduling." Applied Mechanics and Materials 427-429 (September 2013): 2650–55. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2650.

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Aimed at the real-time request of dynamic scheduling to product resource, an optimization method of parallel dynamic chain real-time available resources was put forward. Proceed from real-time tracing of resource information influencing scheduling tasks dynamic property, established a resource informations real-time tracing back and optimization model, which used module and parallel process mechanism to different kinds of real-time traced back resource information. The mechanism processed global dynamic feedback tracing for every module and optimized available resources primarily, on this basis, graded the primary available resources and gave a real-time candidate resource set. Through one example of one gear production scheduling, the methods validity was tested.
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Lei, Yanzhe (Murray), and Stefanus Jasin. "Real-Time Dynamic Pricing for Revenue Management with Reusable Resources, Advance Reservation, and Deterministic Service Time Requirements." Operations Research 68, no. 3 (2020): 676–85. http://dx.doi.org/10.1287/opre.2019.1906.

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In “Real-Time Dynamic Pricing for Revenue Management with Reusable Resources, Advance Reservation, and Deterministic Service Time Requirements,” Lei and Jasin consider a fundamental dynamic pricing problem when resources are reusable. In this problem, demand arrives according to a price-sensitive nonstationary rate, requesting a service that uses a combination of different types of resources for a deterministic duration of time. The resources are reusable in the sense that they can be immediately used to serve a new customer on the completion of the previous service. Moreover, different customers may have different service time requirement and may book the service in advance. The objective is to construct a dynamic pricing control that maximizes expected total revenues. They develop real-time heuristic controls based on the solution of the deterministic relaxation of the original stochastic problem and show that the proposed controls are near optimal in the regime of large demand and large resource capacity.
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20

Hu, Cheng, and Yuhui Deng. "Extracting a Credible Hint of Response Time to Scale Resources in Elastic Clusters." Journal of Circuits, Systems and Computers 29, no. 13 (2020): 2050211. http://dx.doi.org/10.1142/s0218126620502114.

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In elastic clusters, the service resources (or called “resources” for short) can be dynamically scaled, thus providing opportunities to cut down the energy cost of redundant resources. Generally, taking into account the Quality of Service (QoS) of clusters, resources are carefully scaled according to specific hints which are some features of system status. However, when the Service Quality Requirement (SQR) is referred to the response time of requests, some widely used features cannot well reflect the status of the QoS. Consequently, the QoS cannot be well maintained, and the energy-saving efficiency is unsatisfactory. In this paper, we indicate that under such SQR, the outstanding hint for resource scaling is the response time of requests. Accordingly, we propose a resource scaling method which scales resources leveraging an elaborate Hint of Response time (HR). More specifically, HR is credible to foresee future QoS, and our method extracts HR by tracking and making analysis on the waiting requests in each server. Moreover, when resource scaling operation is performed, our method can estimate how many resources are suitable for current workloads with a good accuracy. Thereby, our method can timely and directly scale resources to the suitable amount, thus can significantly reduce the time delay of re-matching resources. Finally, our method can significantly promote cluster performance on both the QoS and the energy-saving efficiency.
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21

Minaeva, Anna, and Zdeněk Hanzálek. "Survey on Periodic Scheduling for Time-triggered Hard Real-time Systems." ACM Computing Surveys 54, no. 1 (2021): 1–32. http://dx.doi.org/10.1145/3431232.

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This survey covers the basic principles and related works addressing the time-triggered scheduling of periodic tasks with deadlines. The wide range of applications and the increasing complexity of modern real-time systems result in the continually growing interest in this topic. However, the articles in this field appear without systematic notation. To address it, we extend the three-field Graham notation to cover periodic scheduling. Moreover, we formally define three example periodic scheduling problems (PSPs) and provide straightforward implementations of these examples in the Satisfiability Modulo Theories formalism with source codes. Then, we present a summary of the complexity results containing existing polynomially solvable PSPs. We also provide an overview of simple state-of-the-art methods and tricks to solve the PSPs efficiently in terms of time. Next, we survey the existing works on PSP according to the resource environment: scheduling on a single resource, on parallel identical resources, and on dedicated resources. In the survey, we indicate which works propose solution methods for more general PSPs. Finally, we present related problems that are not periodic by nature to provide inspiration for the PSP solution.
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22

Ferrarese, Andre, and Marly Monteiro de Carvalho. "Time-to-need: a portfolio tool to balance the time-to-market." Journal of Manufacturing Technology Management 25, no. 6 (2014): 812–26. http://dx.doi.org/10.1108/jmtm-09-2011-0085.

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Purpose – The purpose of this paper is to provide a management tool to maximise the effective time-to-market of a portfolio given the competitive monitoring activities. Design/methodology/approach – From the constant monitoring of competition and market needs, it is proposed to define a time-to-need, time when the market may consume the product under development and competitor will not provide a solution before. This time-to-need is proposed to be defined by an expert committee in a periodical meeting of the portfolio. Once it is identified the time-to-need and the time-to-market (project management), it is possible to manage resources in order to maximise the portfolio outputs. Findings – The application of the mentioned approach in an automotive industry showed improvements on number of launched new products per year (double) and on number of patented product launched (four times more). Research limitations/implications – This approach applies on projects of medium to long term (more than two years) because the resource management can consume set up time. The presented results in this work were based in a single case, which can limit the expected results of the application of this methodology. Practical implications – This approach enables a constant alignment among experts and a better deployment of resources. Originality/value – This work provides a practical tool to promote better resource allocation in a portfolio. It can also be an enabler of innovation projects once it finds resources potential to fund the more front end work.
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23

Shaobo, Li, Qu Jinglei, and Zhang Chenglong. "Real-time Resource Positioning System based on Wireless Sensor Network in Manufacturing Workshop." International Journal of Online Engineering (iJOE) 13, no. 06 (2017): 96. http://dx.doi.org/10.3991/ijoe.v13i06.6933.

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Discrete manufacturing enterprise has a complex and varied production process, which causes manufacturing resources have dynamic characteristics. Aiming at the efficient collect and management of manufacturing resource information, improve the enterprise’ intellectualization, a real-time resource positioning system based on wireless sensor network was proposed. Firstly, a perceptual model for resource positioning was designed, which can collect and analysis real-time resources information in the workshop. Meanwhile, the architectural structure of real-time resources positioning system was designed based on wireless sensor network and the resources positioning flow was illustrated. Aiming at the low positioning accuracy caused by electromagnetic interference and obstacle in manufacturing workshop environment, a multi-sensor positioning data fusion algorithm based on fuzzy evidence theory was proposed. Finally, a prototype system is implemented to demonstrate the validity of the method in practice.
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24

RYANG, DAL-SOO, and KYU HO PARK. "A REAL-TIME SCHEDULING ALGORITHM FOR TASKS WITH RESOURCE CONTENTION ON A MULTIPROCESSOR." Journal of Circuits, Systems and Computers 04, no. 03 (1994): 243–53. http://dx.doi.org/10.1142/s0218126694000144.

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Our scheduling algorithm is based on a general model with timing and resource constraints which permits OR requests. In order to keep run-time costs low, we propose an algorithm that does not search the whole search space. This paper defines two measures, survivability and impact, for scheduling tasks conflicted for some resources. The survivability is a metric to show how urgent a task is, and how constrained it is by its resources. The impact of a resource for a task measures how much other tasks are influenced by the allocation of the resource to the task. Our scheduling algorithm uses the survivability to schedule tasks on multiple processors. After a task is picked out to be run in a time slice using the survivability, the least impact resources are allocated from several alternative resources.
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Saastamoinen, Miamaria, and Kalervo Järvelin. "Relationships between work task types, complexity and dwell time of information resources." Journal of Information Science 44, no. 2 (2017): 265–84. http://dx.doi.org/10.1177/0165551516687726.

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Information seeking research often reports about types of information resources, ways of acquiring them and opinions on their importance in various professions. Based on self-reporting, these findings are affected by human memory and rationalisation. This article proposes a new way of studying information resource use – based on dwell time in the context provided by concrete work tasks. We use log data of 21 information workers from six organisations to analyse how work task complexity is connected to the time used in various information resources; how task complexity is connected to information resource use in different task types. Unlike traditionally, our findings consist of objective data on which resource types are used, and for how long, in work tasks of varying complexity and type. For example, the findings suggest that growing work task complexity increases the dwell time in local personal computer (PC) resources; these resources are especially popular in intellectual tasks. Such findings help understand factors affecting information resource use. Likewise, they help focus attention on most time-consuming aspects of task-based information interaction when developing support for work.
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Hussain, Syed Amjad. "How to make knowledge resources valuable." VINE Journal of Information and Knowledge Management Systems 47, no. 1 (2017): 42–54. http://dx.doi.org/10.1108/vjikms-01-2016-0002.

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Purpose This paper aims to offer an integration point for newly acquired heterogeneous knowledge resources to be assessed if these resources qualify to be a part of a firm’s existing knowledge resource portfolio. Focus of this paper will be on the development of knowledge integration point (KIP), in addition to the factors helping in determination of this KIP, for example, manager’s judgment about the firms’ knowledge requirements, knowledge reserve a potential employee should have and firm’s existing knowledge resource portfolio. Design/methodology/approach This study includes a content analysis. Findings Firms should have only those resources which contribute to value creation for the customers and the organization. Presence of any other knowledge resource which does not have the ability to create value is a waste of value. It is the knowledge managers’ responsibility to decide whether a knowledge resource should be a part of a firm’s existing knowledge portfolio. This decision should be taken before the acquisition of that knowledge resource, i.e. at KIP, then it would be more easy for knowledge managers to handle and integrate them with the existing set of firm’s knowledge resources. Practical implications If the potential knowledge resource is evaluated at KIP to know its level of integration and configuration ability with the existing firms’ knowledge resource portfolio, then it will take less time and efforts to integrate. It will take such firms far ahead than those whose acquired resources took much time to integrate. Hence, resource’s integration and configuration ability levels affect the speed of integration, which ultimately provides opportunity to firms to perform well. Originality/value KIP may help to make speedier integration process, which eventually leads firms to perform better.
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Tamrakar, Dr Ashish Kumar, Dr Abhishek Verma, Dr Vishnu Kumar Mishra, and Dr Megha Mishra. "Time and Cost Based Cloud Resource Optimization System." Journal of University of Shanghai for Science and Technology 23, no. 09 (2021): 1167–77. http://dx.doi.org/10.51201/jusst/21/09656.

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Cloud computing is an emerging technology through which resources can be shared over the internet with different users either free or on a rent basis. Resource scheduling in cloud computing is a challenging area for researchers as is maximum utilization can opt through efficient resource scheduling algorithm. Other than this, virtual machine provisioning, packaging, and availability guarantee decrease the performance. Resource management in cloud could be a time and cost effective activity if it is managed property. These resources are accessible and computable which is totally dependent upon the management techniques applied in cloud.In a cloud setting, heterogeneous, vulnerability, and scattering of resources creates many issues of distribution among the workloads which need to be compute. Specialists still face inconveniences to pick the prudent, material and expend less time to execution of resource portion to the cloud. This investigation delineates an expansive composed writing examination of asset administration inside the space of cloud typically and cloud asset administration based on SLA with multi-objective functions like cost and time. In this paper, an autonomic cloud resource management technique is proposed to resolve identified issues by adopting the self-characteristics mechanism and improved Antlion optimization algorithm and tested in cloudsim toolkit and Aws Ec2 environment. The implementation results of proposed work are the evidence that it is better performing as compared with the existing frameworks, however, the performance evaluation method depends upon the different cloud environment and it may vary.
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Murog, Igor A., Tatiana A. Asaeva, Olga A. Chikhacheva, Vasily V. Elistratov, and Yulia I. Arabchikova. "Mathematical Methods of Optimization of Time Resources in the Implementation of the Production Project." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (2019): 1214–20. http://dx.doi.org/10.5373/jardcs/v11/20192693.

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Lopes, Paulo, and Fernando B. Nascimento. "Time Synchronization in Limited Resources Wireless Devices." International Journal for Innovation Education and Research 7, no. 12 (2019): 269–88. http://dx.doi.org/10.31686/ijier.vol7.iss12.2046.

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This article deals with implementation of a time distribution protocol among limited resources wireless sensor devices. This type of protocol aims to distribute the same time reference among two or more devices within a network. Timestamps on measures help to relate them on causality studies. The PTP protocol defined at IEEE 1588-2008 is used, with little adaptations, to synchronize and tune software clocks inside the target boards of the Texas Instruments ez430-RF2480ZigBee kit. Initially only synchronization was done, but it was verified the need to implement clock tuning. The devices clocks can be synchronized and tuned, even in heavily limited resources devices.
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PATTERSON, M. C. "Analysis of setup time at constraint resources." International Journal of Production Research 31, no. 4 (1993): 845–49. http://dx.doi.org/10.1080/00207549308956761.

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Macilwain, I. F. "Psychotherapy at a Time of Diminishing Resources." Bulletin of the Royal College of Psychiatrists 9, no. 11 (1985): 222. http://dx.doi.org/10.1192/s0140078900026031.

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Estimating demand for psychotherapy is like trying to evaluate the size of a mountain range from the foothills—the higher one climbs, the more potential needs become apparent. The unspoken dream that at some point all these needs will be met by trained psychotherapists seems firmly destined to stay in the realms of fantasy. In reality, specialist psychotherapists will always be thin on the ground. In Surrey, where my own practice is based, I am, and am likely to remain, the only medically trained psychotherapist with four sessions allocated to a population of 200,000. The psychotherapy department at St. George's Hospital, Tooting, to which I am also attached, has a catchment which extends to the whole South-West Thames Region, encompassing places as far afield as Chichester and Haywards Heath.
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Orstad, Heidi. "Unleashing Hidden Team Resources: Time and Talent." Creative Nursing 24, no. 4 (2018): 198–202. http://dx.doi.org/10.1891/1078-4535.24.4.198.

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The nation’s shift to value-based care requires health-care systems to consider innovative operational changes that will support high-quality care while also containing cost in order to sustain long-term growth. To do so, leaders must uncover hidden resources within their operations. In this article, a director of care coordination shares how care coordinators in her hospital support patients and families, and how she uncovered two hidden resources within the care coordination team—time, and talent—in response to an operational challenge. The time available to leaders was expanded by dividing each leadership process into its basic elements and by reducing the number of scheduled meetings and required reports, reclaiming 1000 leadership hours in 1 year. She made the most of employee’s talents by identifying each team member’s unique interests and expertise and introducing a “team champion” system.
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Macilwain, I. F. "Psychotherapy at a Time of Diminishing Resources." Psychiatric Bulletin 9, no. 11 (1985): 222. http://dx.doi.org/10.1192/pb.9.11.222.

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Gajardo, P., J. Harmand, H. Ramírez C., and A. Rapaport. "Minimal time bioremediation of natural water resources." Automatica 47, no. 8 (2011): 1764–69. http://dx.doi.org/10.1016/j.automatica.2011.03.001.

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Hurink, J. L., A. L. Kok, J. J. Paulus, and J. M. J. Schutten. "Time-constrained project scheduling with adjacent resources." Computers & Operations Research 38, no. 1 (2011): 310–19. http://dx.doi.org/10.1016/j.cor.2010.05.006.

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Ash, David, Garry Gold, Adam Seiver, and Barbara Hayes-Roth. "Guaranteeing real-time response with limited resources." Artificial Intelligence in Medicine 5, no. 1 (1993): 49–66. http://dx.doi.org/10.1016/0933-3657(93)90005-n.

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Ivars, Benoit, and Jean-Philippe Venot. "Claiming and re-claiming the Ayeyarwady Delta, time and again: the case of Nyaungdone Island, Myanmar." Journal of Political Ecology 27, no. 1 (2020): 517–38. http://dx.doi.org/10.2458/v27i1.23675.

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Since 2011 and the transition to civilian government, Myanmar and the Ayeyarwady Delta in particular are witnessing swift and dramatic changes in the modalities of access and use of natural resources. Drawing from political ecology, and on the basis of ethnographic work conducted in Yeinek village tract in the Nyaungdone Township of the Ayeyarwady Delta, this article places recent resources dynamics in a historical perspective. Rather than seeing natural resources as a 'given', we see them as resulting from socially embedded strategies of resource-making. These strategies contribute to a constant redefinition of the "resource-frontier" the delta has historically been for multiple actors. Notably, we show how land for rice cultivation, and water for capture fisheries and aquaculture, have been made into key resources over time, often in an exclusionary way. Post-2011 land and fishery reforms are the most recent examples of resource-making dynamics; they have certainly triggered significant resource re-allocation, but existing cross-scale patronage networks still largely shape how this takes place in practice. Finally, in this deltaic environment where resources are part water, part land, part rice, part fish, and the legitimacy of one's claims often hinges on proving prior use of a specific resource, it is the nature of the resource to be reallocated that is contested. In the newly politicized context of Myanmar, resources and institutional fluidity is in itself a frontier to navigate.Keywords: Ayeyarwady Delta; Myanmar; fisheries; land; resource making; frontier; exclusion
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Wei, Wei, Yuhong Zhang, and Yang Liu. "A Time-Efficient Solution to the General Resource Placement Problem in Cloud." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/760458.

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Cloud based large-scale online services are faced with regionally distributed stochastic demands for various resources. With multiple regional cloud data centers, a crucial problem that needs to be settled is how to properly place resources to satisfy massive stochastic demands from many different regions. For the general stochastic demands oriented cross region resource placement problem, the time complexity of existing optimal algorithm is linear to total amount of resources and thus may be inefficient when dealing with a large number of resources. To end this, we propose an efficient algorithm, named discrete function based unbound resource placement (D-URP). Experiments show that in scenarios with general settings, D-URP can averagely achieve at least 97% revenue of optimal solution, with reducing time by three orders of magnitude. Moreover, due to the generality of problem setting, it can be extended to get efficient solution for a broad range of similar problems under various scenarios with different constraints. Therefore, D-URP can be used as an effective supplement to existing algorithm under time-tense scheduling scenarios with large number of resources.
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Pereira, A., J. Vega, L. Pacios, E. Sánchez, and A. Portas. "Synchronization resources in heterogeneous environments: Time-sharing, real-time and Java." Fusion Engineering and Design 81, no. 15-17 (2006): 1869–72. http://dx.doi.org/10.1016/j.fusengdes.2006.04.016.

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Mao, Jun Li, Xiang Luo, Xiao Zhen Wang, and Chao Hong Yang. "A Discovery Technology Based on Distributed Resource Management Domain." Applied Mechanics and Materials 713-715 (January 2015): 2195–98. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2195.

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Resource discovery is the key of network resource management, which includes multiple aspects, such as resource description, resource organization, and resource discovery and resource selection. For a long time, communication network resourcehas been lack of unified and standardized description, causing users difficult to precisely find related resources in demand. This paper presents a distributed resource query methods based on management domain, including distributed resource query architecture, the basic process of resource discovery, update method,query methods and so on. The method of network resources makes use of collaborative queries to realize network resource discovery according to need.
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41

HABER, STEPHEN, and VICTOR MENALDO. "Do Natural Resources Fuel Authoritarianism? A Reappraisal of the Resource Curse." American Political Science Review 105, no. 1 (2011): 1–26. http://dx.doi.org/10.1017/s0003055410000584.

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A large body of scholarship finds a negative relationship between natural resources and democracy. Extant cross-country regressions, however, assume random effects and are run on panel datasets with relatively short time dimensions. Because natural resource reliance is not an exogenous variable, this is not an effective strategy for uncovering causal relationships. Numerous sources of bias may be driving the results, the most serious of which is omitted variable bias induced by unobserved country-specific and time-invariant heterogeneity. To address these problems, we develop unique historical datasets, employ time-series centric techniques, and operationalize explicitly specified counterfactuals. We test to see if there is a long-run relationship between resource reliance and regime type within countries over time, both on a country-by-country basis and across several different panels. We find that increases in resource reliance are not associated with authoritarianism. In fact, in many specifications we generate results that suggest a resource blessing.
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ROWSE, JOHN. "ON HYPERBOLIC TIME DISCOUNTING IN EXHAUSTIBLE RESOURCE MODELS: AN APPLICATION TO WORLD OIL RESOURCES." Natural Resource Modeling 19, no. 2 (2008): 243–77. http://dx.doi.org/10.1111/j.1939-7445.2006.tb00182.x.

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Cao, Wenting, Melkamu Teshome Ayana, and Rongwei Gao. "Hybrid Resource Environmental Value Chain Model Based on a Discrete Time Algorithm." Wireless Communications and Mobile Computing 2021 (June 15, 2021): 1–11. http://dx.doi.org/10.1155/2021/9993833.

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Due to the inconsistency between resource environment and value data types, the hybrid model of resource environment value chain cannot effectively coordinate the relationship among resources, environment, and value chain. The circulation of resource chain, ecological chain, and value chain is not completed independently; they are intertwined and promote each other. Therefore, this paper proposes a hybrid resource environmental value chain model based on a discrete time algorithm. Analyze the hybrid internal structure of resource chain, environment chain, and value chain model; integrate the natural resource information through the objective function of natural resource integration; obtain the indicators affecting the environment; and complete the analysis of the characteristics of environmental change. On this basis, the relationship between resources, environment, and economic value is analyzed, and the hybrid content of resources, environment, and value chain is determined. The discrete-time algorithm is introduced to transform the hybrid content into the same data format, obtain the objective function and constraints of the resource environment value chain hybrid model, and complete the construction of the resource environment value chain hybrid model based on the discrete-time algorithm. The simulation results show that the hybrid model designed in this paper can effectively improve the resource saving rate, up to 97%, and the error of resource environment value chain data fusion is the lowest, and the time is less than 1 min which was a considerable achievement.
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Narayana, Vejendla Lakshman, and Divya Midhunchakkaravarthy. "Secured Resource Allocation for Authorized Users Using Time Specific Blockchain Methodology." International Journal of Safety and Security Engineering 11, no. 2 (2021): 201–5. http://dx.doi.org/10.18280/ijsse.110209.

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The utilization of energy in blockchain division is high as resource allocation models are using this technology and the rundown of resource utilization cases is continually developing. The communicated and permanent nature of blockchain innovation might be utilized to quicken the progressing change to increasingly decentralized and digitalized vitality frameworks and to address a portion of the difficulties the business is confronting in providing security in identification of authorized users and resource allocation transactions among the authorized users. The allocated resources to the users need to be recorded, otherwise the attackers may use them for malicious operations. In any case, blockchain is a developing innovation and it is viewed as a basic vulnerability by numerous users as the difficulties and chances of execution are still to a great extent. There is in this way an absence of information and shortage of dynamic gadgets for getting why, when and how the innovation can include significant worth. The proposed Resource Allocation for Authorized Users using Time specific Blockchain Methodology (RAAUTBM) performs resource allocation to authorized users to avoid malicious actions among blockchain-based use cases and increase practical information about how blockchain could be actualized. The RAAUTBM model verifies all the users for allotting access to the system. The proposed model allots the resources only to the authorized users and to identify the malicious users and remove them from the framework. The resources once allotted to a user remains for a time interval and then the resource is re-allotted to other authorized users for avoiding delay. Resource exchanges in this segment are known to be dull and wasteful, to a limited extent because of the absence of promoted straightforwardness. This research work centers around the advancement of a blockchain application that can improve the resource exchange procedure among authorized users. The proposed model is compared with the traditional methods and the results demonstrate that the proposed model is effective in allocating resources only to the authorized users.
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45

Heuse, Silke, Cathrin Dietze, Daniel Fodor, and Edgar Voltmer. "Studying and More: Part-Time Employment as an Educational Challenge?" Journal of Medical Psychology 1, no. 1 (2020): 57–63. http://dx.doi.org/10.3233/jmp-200024.

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Background: Future health-care professionals face stress both during education and in later professional life. Next to educational trainings, many students are forced to assume part-time employment. Objective: Applying the Job Demands-Resources Model to the educational context, we investigate which role part-time employment plays next to health-care professional students’ education-specific demands and resources in the prediction of perceived stress. Method: In this cross-sectional study, data from N = 161 health-care students were analysed, testing moderation models. Results: Education-specific demands were associated with higher and education-specific resources with lower amounts of perceived stress. Part-time employment functioned as moderator, i.e. demands were less associated with stress experiences in students who were employed part-time. Conclusion: Identifying part-time employment as a resource rather than a demand illustrates the need to understand students’ individual influences on stress. Both educators and students will benefit from reflecting these resources to support students’ stress management.
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Hastings, Alan. "Temporally varying resources amplify the importance of resource input in ecological populations." Biology Letters 8, no. 6 (2012): 1067–69. http://dx.doi.org/10.1098/rsbl.2012.0669.

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Temporally and spatially varying resource levels are present in most ecological systems. Very simple models incorporating the key features of temporally varying resources and specific descriptions of survivorship for consumer species show the overriding importance of the time dependence of available resources and the role that allochthonous inputs play as essentially insurance in allowing species to persist. Persistence of species with lifetimes short relative to the timescale of resource variability is determined by the geometric mean of resource levels, while the persistence of species where resources vary on a much shorter time scale (or with exponential survivorship) are determined by the arithmetic mean of resource levels. Models that incorporate features of time-varying resources and explicit life histories dramatically change our understanding of how fluctuations in resource availability through time and space will affect population persistence and community dynamics.
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Hoozée, Sophie, and Stephen C. Hansen. "A Comparison of Activity-Based Costing and Time-Driven Activity-Based Costing." Journal of Management Accounting Research 30, no. 1 (2017): 143–67. http://dx.doi.org/10.2308/jmar-51686.

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ABSTRACT The relationship between activity-based costing (ABC) and time-driven activity-based costing (TDABC) has not been systematically investigated. We compare the two systems analytically and via a numerical experiment. Our analytical comparison generates formulas that describe how each system maps resources to activities and finally to products. We demonstrate that ABC aggregates resource-to-activity information by resources (columns), while TDABC selects partitions of activity-by-resource information. Our numerical experiment shows that TDABC is more accurate than ABC when traceability of resources to activities is high and activity traceability to products is low, while ABC is more accurate when activities are more traceable to products, irrespective of the level of resource traceability to activities. Finally, we examine the impact of hybridizing an ABC (TDABC) system with TDABC (ABC). We find that adding one ABC element into a TDABC system usually improves accuracy. However, adding one TDABC element into an ABC system usually substantially degrades accuracy. Data Availability: The simulated datasets are available from the first author on request.
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Guo, Haifeng, Bo Wang, Jianhua Zhang, Song Chen, and Yi Qiu. "The Application of Time-Delay DependentH∞Control Model in Manufacturing Decision Optimization." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/219134.

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This paper uses a time-delay dependentH∞control model to analyze the effect of manufacturing decisions on the process of transmission from resources to capability. We establish a theoretical framework of manufacturing management process based on three terms: resource, manufacturing decision, and capability. Then we build a time-delayH∞robust control model to analyze the robustness of manufacturing management. With the state feedback controller between manufacturing resources and decision, we find that there is an optimal decision to adjust the process of transmission from resources to capability under uncertain environment. Finally, we provide an example to prove the robustness of this model.
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Risso, Alfonso, Alexandre Beluco, and Rita Marques Alves. "Complementarity Roses Evaluating Spatial Complementarity in Time between Energy Resources." Energies 11, no. 7 (2018): 1918. http://dx.doi.org/10.3390/en11071918.

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Hybrid energy systems have higher initial costs than systems that are based on only one renewable resource, but allow for the fulfillment of the demands of consumer loads with lower values for the cost of energy. The possible complementarity between the resources used can contribute to a better use of the available energy. On a large scale, complementarity between power plants can serve as a tool for the management of energy resources. A complete evaluation of complementarity needs to consider three components: time complementarity, energy complementarity, and complementarity between amplitudes of variation. Complementarity can also be assessed between energy resources in one place (which may be termed temporal complementarity) and between resources at different sites (termed spatial complementarity). This paper proposes a method for quantifying spatial complementarity over time and for its expression through maps. The method suggests the establishment of a hexagonal network of cells and the determination of complementary roses for each cell that contains power plants. This article also applies the method proposed to some hydroelectric plants and wind farms in the State of Rio Grande do Sul, in southern Brazil, and present the map of spatial complementarity in time obtained.
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Tsang, Pamela S., and Michael A. Vidulich. "Time-Sharing Visual and Auditory Tracking Tasks." Proceedings of the Human Factors Society Annual Meeting 31, no. 2 (1987): 253–57. http://dx.doi.org/10.1177/154193128703100226.

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Multiple resource theory suggests that distributing demands over separate resources will reduce resource competition and improve time-sharing efficiency. A recent hypothesis however suggests that the benefits of utilizing separate resources for the time-shared tasks may be mitigated if the two tasks are integrated. The present experiment examined the benefits of distributing the input demands of two tracking tasks as a function of task integrality. Visual and auditory compensatory tracking tasks were used. Timesharing two tracking tasks with the same order of control is said to be more integrated than with different orders of control. Results show that presenting the two tracking signals in two input modalities did not improve time-sharing efficiency. This was attributed to the difficulty insensitivity phenomenon. Whether utilizing the same control dynamics between the time-shared tasks could generate an integrality effect was unclear from the present data. A continuous auditory task that could offer comparable spatial information as the visual counterpart was proposed to be valuable for studying attentional processes, information display alternatives, and workload assessment.
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