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Journal articles on the topic 'Optimised schedule'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Raheja, Supriya. "An Intuitionistic Fuzzy Based Novel Approach to CPU Scheduler." Current Medical Imaging Formerly Current Medical Imaging Reviews 16, no. 4 (2020): 316–28. http://dx.doi.org/10.2174/1573405614666180903120708.

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Background: The extension of CPU schedulers with fuzzy has been ascertained better because of its unique capability of handling imprecise information. Though, other generalized forms of fuzzy can be used which can further extend the performance of the scheduler. Objectives: This paper introduces a novel approach to design an intuitionistic fuzzy inference system for CPU scheduler. Methods: The proposed inference system is implemented with a priority scheduler. The proposed scheduler has the ability to dynamically handle the impreciseness of both priority and estimated execution time. It also m

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Saydam, Berkay, Cem Orhan, Niyazi Toker, and Mansur Turasan. "Optimisation of scheduled tasks by real-time measurement and correlation." New Trends and Issues Proceedings on Advances in Pure and Applied Sciences, no. 12 (April 30, 2020): 36–43. http://dx.doi.org/10.18844/gjpaas.v0i12.4984.

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For functional safety, the scheduler should perform all time critical tasks in an order and within predefined deadlines in embedded systems. Scheduling of time critical tasks is determined by estimating their worst-case execution times. To justify the model design of task scheduling, it is required to simulate and visualise the task execution and scheduling maps. This helps to figure out possible problems before deploying the schedule model to real hardware. The simulation tools which are used by companies in an industry perform scheduling simulation and visualisation of all time critical task

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Mishra, Bhupesh Kumar, Keshav Dahal, and Zeeshan Pervez. "Dynamic Relief Items Distribution Model with Sliding Time Window in the Post-Disaster Environment." Applied Sciences 12, no. 16 (2022): 8358. http://dx.doi.org/10.3390/app12168358.

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In smart cities, relief items distribution is a complex task due to the factors such as incomplete information, unpredictable exact demand, lack of resources, and causality levels, to name a few. With the development of Internet of Things (IoT) technologies, dynamic data update provides the scope of distribution schedule to adopt changes with updates. Therefore, the dynamic relief items distribution schedule becomes a need to generate humanitarian supply chain schedules as a smart city application. To address the disaster data updates in different time periods, a dynamic optimised model with a

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Kroll, Christian, and Sebastian Pokutta. "Just a perfect day? Developing a happiness optimised day schedule." Journal of Economic Psychology 34 (February 2013): 210–17. http://dx.doi.org/10.1016/j.joep.2012.09.015.

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Koohi, Sina Zangbari, Nor Asilah Wati Abdul Hamid, Mohamed Othman, and Gafurjan Ibragimov. "ROA-CONS: Raccoon Optimization for Job Scheduling." Symmetry 13, no. 12 (2021): 2270. http://dx.doi.org/10.3390/sym13122270.

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High-performance computing comprises thousands of processing powers in order to deliver higher performance computation than a typical desktop computer or workstation in order to solve large problems in science, engineering, or business. The scheduling of these machines has an important impact on their performance. HPC’s job scheduling is intended to develop an operational strategy which utilises resources efficiently and avoids delays. An optimised schedule results in greater efficiency of the parallel machine. In addition, processes and network heterogeneity is another difficulty for the sche

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Fauzi, Z. A. M., and M. A. Mansor. "Development of Dynamic Programming Algorithm for Maintenance Scheduling Problem: A Conceptual Paper." International Journal of Engineering Technology and Sciences 5, no. 1 (2018): 34–43. http://dx.doi.org/10.15282/ijets.v5i1.2823.

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Maintenance is one of the important methods that can be used to ensure the machines and equipment can operate within the best condition. A good scheduling for maintenance will maintain the proper performance since all resources will be utilised effectively as the underused of the resource can be reduced. The schedule created ensures the particular task was done within the time provided. What, when, where and how the certain operation will be done will be stated to make sure the planned activity going smoothly without any delays. However, the uncertainty that happened during the maintenance nee

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Manganaro, L., A. Attili, T. Bortfeld, and H. Paganetti. "Spatiotemporal optimisation of prostate intensity modulated proton therapy (IMPT) treatments." Physics in Medicine & Biology 67, no. 4 (2022): 045005. http://dx.doi.org/10.1088/1361-6560/ac4fa2.

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Abstract Objective. In intensity modulated particle therapy (IMPT), the adoption of spatially and temporally heterogeneous dose distributions allows to decouple the fractionation scheme from the patient anatomy, so that an hypofractionated schedule can be selectively created inside the tumour, while simultaneously exploiting the fractionation effect in the healthy tissues. In this paper, the authors show the reproducibility of the method on a set of prostate patients, quantifying the dependencies of the achievable benefit with respect to conventional and hypofractionated schemes and the sensit

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Dijkstra, Sander, Maarten Otten, Gréanne Leeftink, et al. "Limited waiting areas in outpatient clinics: an intervention to incorporate the effect of bridging times in blueprint schedules." BMJ Open Quality 11, no. 2 (2022): e001703. http://dx.doi.org/10.1136/bmjoq-2021-001703.

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BackgroundDistancing measures enforced by the COVID-19 pandemic impose a restriction on the number of patients simultaneously present in hospital waiting areas.ObjectiveEvaluate waiting area occupancy of an intervention that designs clinic blueprint schedules, in which all appointments of the pre-COVID-19 case mix are scheduled either digitally or in person under COVID-19 distancing measures, whereby the number of in-person appointments is maximised.MethodsPreintervention analysis and prospective assessment of intervention outcomes were used to evaluate the outcomes on waiting area occupancy a

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Marques, María Remedios, Ana Garcia‐Robles, Iris Usach, et al. "Topiramate pharmacokinetics in neonates undergoing therapeutic hypothermia and proposal of an optimised dosing schedule." Acta Paediatrica 109, no. 2 (2019): 300–308. http://dx.doi.org/10.1111/apa.14944.

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Gómez, Manuel, Lucía Rancel, Pedro P. Gómez, José I. Robla, and Sebastián F. Medina. "Simplification of Hot Rolling Schedule in Ti-Microalloyed Steels with Optimised Ti/N Ratio." ISIJ International 50, no. 6 (2010): 868–74. http://dx.doi.org/10.2355/isijinternational.50.868.

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Matsui, Y., K. Narita, T. Inoue, and T. Matsushita. "Screening level analysis for monitoring pesticide in river water using a hydrological diffuse pollution model with limited input data." Water Science and Technology 53, no. 10 (2006): 173–81. http://dx.doi.org/10.2166/wst.2006.310.

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To predict rice-farming pesticide concentrations in river water with imprecise model inputs for screening-level analysis, a basin-scale runoff model was developed. The Monte Carlo method was applied to create estimates of input data regarding agricultural work schedules and parameters for pesticide decomposition and sorption in solids and water. The prediction accuracy of the model was evaluated when used with non-optimised pesticide parameters; the model was calibrated using hydrological data alone without reference to observed pesticide concentration data. Overall, predictions for the pestic

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Rakotonirainy, RG, I. Durbach, and J. Nyirenda. "Considering fairness in the load shedding scheduling problem." ORiON 35, no. 2 (2019): 127–44. http://dx.doi.org/10.5784/35-2-648.

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Every day national power system networks provide thousands of MW of electric power from generating units to consumers, requiring different operations and planning to ensure secure systems. Where demand exceeds supply, load shedding - controlled, enforced reduction in supply - is necessary to prevent system collapse. Should load shedding need to be implemented, a planned schedule is necessary to allocate geographic areas on the required period of shedding. The problem of how to construct a schedule that fairly allocates load shedding responsibilities over geographic areas with minimum economic

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Guest, D. S. H., R. Jena, C. Watts, et al. "81 MATHEMATICAL MODELLING OF A RADIOBIOLOGICALLY OPTIMISED FRACTIONATION SCHEDULE FOR A HETEROGENEOUSLY DIFFERENTIATED CELL MODEL OF GLIOBASTOMA." Radiotherapy and Oncology 102 (March 2012): S29—S30. http://dx.doi.org/10.1016/s0167-8140(12)70058-0.

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Lim, Nigel, and Lucas Lim. "An application and subsequent benefits of digitalisation to pipeline engineering using a 3D pipe-in-pipe bulkhead design project case study." APPEA Journal 60, no. 2 (2020): 641. http://dx.doi.org/10.1071/aj19125.

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Digitalisation of design processes is being rapidly accepted as a major step-change in engineering of pipelines and components. Incremental digitalisation of best engineering practice, analytical portions of industry codes and iterative optimisation tasks enable multiple advantages over typical project execution models. These include (a) maintaining flexibility throughout the design process to deal with changes particularly at critical interface points, (b) utilising computing power to drive an optimised solution, (c) cost and schedule advantages and (d) development of platforms to implement i

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Akram, Junaid, Hafiz Suliman Munawar, Abbas Z. Kouzani, and M. A. Pervez Mahmud. "Using Adaptive Sensors for Optimised Target Coverage in Wireless Sensor Networks." Sensors 22, no. 3 (2022): 1083. http://dx.doi.org/10.3390/s22031083.

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Innovation in wireless communications and microtechnology has progressed day by day, and this has resulted in the creation of wireless sensor networks. This technology is utilised in a variety of settings, including battlefield surveillance, home security, and healthcare monitoring, among others. However, since tiny batteries with very little power are used, this technology has power and target monitoring issues. With the development of various architectures and algorithms, considerable research has been done to address these problems. The adaptive learning automata algorithm (ALAA) is a sched

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Chung, Woodam, Greg Jones, Kurt Krueger, Jody Bramel, and Marco Contreras. "Optimising fuel treatments over time and space." International Journal of Wildland Fire 22, no. 8 (2013): 1118. http://dx.doi.org/10.1071/wf12138.

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Fuel treatments have been widely used as a tool to reduce catastrophic wildland fire risks in many forests around the world. However, it is a challenging task for forest managers to prioritise where, when and how to implement fuel treatments across a large forest landscape. In this study, an optimisation model was developed for long-term fuel management decisions at a landscape scale. Using a simulated annealing algorithm, the model optimises locations and timing of fuel treatments, while considering changes in forest dynamics over time, fire behaviour and spread, values at risk, and operation

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Wang, Peng, Peng Wu, Xiangyu Wang, Xin Chen, and Tao Zhou. "Developing optimal scaffolding erection through the integration of lean and work posture analysis." Engineering, Construction and Architectural Management 27, no. 9 (2020): 2109–33. http://dx.doi.org/10.1108/ecam-04-2019-0193.

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PurposeFacility structures in liquefied natural gas (LNG) plants require tremendous amounts of scaffolding to facilitate relevant industrial operation and maintenance. As such, the productivity of scaffolding operations in turnaround maintenance (TAM) has attracted much attention in recent years. In addition, health and safety issues have been recognised as a key contributor along with productivity improvement in the LNG industry. This study aims to integrate work posture analysis into value stream mapping to achieve an optimised and balanced improvement in both productivity and health and saf

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Pradhan, Ninad, Dinesh Patlolla, and Rupy Sawhney. "Scheduling and route optimisation for labour cost reduction in facility custodial maintenance." Journal of Facilities Management 15, no. 2 (2017): 190–206. http://dx.doi.org/10.1108/jfm-11-2016-0048.

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Purpose The purpose of this paper is to present an optimised scheduling system for facility mangers and custodians. Experience-driven systems currently in use can result in poor ratings for facility maintenance metrics such as overtime hours, utilisation difference and labour costs. Design/methodology/approach The cleaning schedule and custodian work assignments defined by the manager are simulated for the entire year. Clustering and routing algorithms assign work to custodians equally and find optimal cleaning routes. The manager may use the resulting feedback to iteratively find a suitable s

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Kersting, Mathilde, Hermann Kalhoff, Michael Melter, and Thomas Lücke. "Vegetarische Kostformen in der Kinderernährung?" DMW - Deutsche Medizinische Wochenschrift 143, no. 04 (2018): 279–86. http://dx.doi.org/10.1055/s-0043-119864.

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AbstractIn Germany, the “Dietary Schedule for the 1st year of life” and the “Optimised Mixed Diet” for children and adolescents serve as scientifically based and generally applicable dietary concepts throughout the period of growth and development. Vegetarian diets as the lacto-ovo-vegetarian diet (exclusion of meat, fish) and the vegan diet (exclusion of all food groups of animal origin) need to be evaluated for their potential to safely meet the high and specific requirements for growth and development. In this regard, high-quality studies are needed. In individuals on lacto-ovo-vegetarian d

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Lappin, James, Tom Jackson, Graham Matthews, and Clare Ravenwood. "Rival records management models in an era of partial automation." Archival Science 21, no. 3 (2021): 243–66. http://dx.doi.org/10.1007/s10502-020-09354-9.

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AbstractTwo rival records management models emerged during the 1990s. Duranti’s model involved moving records out of business applications into a repository which has a structure/schema optimised for recordkeeping. Bearman’s model involved intervening in business applications to ensure that their functionality and structure/schema are optimised for record keeping. In 2013 the US National Archives and Records Administration began asking Federal agencies to schedule important email accounts for permanent preservation. This approach cannot be mapped to either Duranti or Bearman’s model. A third r

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Burgett, Rebecca Nicole, Thomas Michael Farley, and Lori Ann Beireis. "Acute treatment of psychotic symptoms in a newly diagnosed Lewy body dementia patient with an accelerated titration schedule of rivastigmine and de-escalation of antipsychotics." BMJ Case Reports 12, no. 9 (2019): e230193. http://dx.doi.org/10.1136/bcr-2019-230193.

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A 76-year-old man presented with complaints of increased confusion, visual hallucinations and decline in memory. He was admitted to the hospital and started on quetiapine 50 mg daily for symptom management. Shortly after, he was diagnosed with Lewy body dementia and started on rivastigmine, a cholinesterase inhibitor (ChEI), at 1.5 mg two times per day. The patient’s symptoms continued to worsen and antipsychotics increased for aggressive behaviour. After he became physically aggressive, an extensive medication management review was conducted, prompting an alternative treatment strategy. The q

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Fitzgerald, Ita, Jean O'Connell, Dolores Keating, Caroline Hynes, Stephen McWilliams, and Erin K. Crowley. "Metformin in the management of antipsychotic-induced weight gain in adults with psychosis: development of the first evidence-based guideline using GRADE methodology." Evidence Based Mental Health 25, no. 1 (2021): 15–22. http://dx.doi.org/10.1136/ebmental-2021-300291.

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BackgroundAdjunctive metformin is the most well-studied intervention in the pharmacological management of antipsychotic-induced weight gain (AIWG). Although a relatively unaddressed area, among guidelines recommending consideration of metformin, prescribing information that would facilitate its applied use by clinicians, for example, provision of a dose titration schedule is absent. Moreover, recommendations differ regarding metformin’s place in the hierarchy of management options. Both represent significant barriers to the applied, evidence-based use of metformin for this indication.Objective

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Schrage, Rico, Paul Hendrik Tiemann, and Astrid Niesse. "A Multi-Criteria Metaheuristic Algorithm for Distributed Optimization of Electric Energy Storage." ACM SIGEnergy Energy Informatics Review 2, no. 4 (2022): 44–59. http://dx.doi.org/10.1145/3584024.3584029.

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The distributed schedule optimization of energy storage constitutes a challenge. Such algorithms often expect an input set containing all feasible schedules and, therefore, require searching the schedule space efficiently. However, it is hardly possible to accomplish this with energy storage due to its high flexibility. In this paper, the problem is introduced in detail and addressed by a metaheuristic algorithm, which generates a preselection of schedules. Two contributions are presented to achieve this goal: First, an extension for a distributed schedule optimization allowing a simultaneous

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Savage, David W., Douglas G. Woolford, Bruce Weaver, and David Wood. "Developing emergency department physician shift schedules optimized to meet patient demand." CJEM 17, no. 1 (2015): 3–12. http://dx.doi.org/10.2310/8000.2013.131224.

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AbstractObjectives: 1) To assess temporal patterns in historical patient arrival rates in an emergency department (ED) to determine the appropriate number of shift schedules in an acute care area and a fast-track clinic and 2) to determine whether physician scheduling can be improved by aligning physician productivity with patient arrivals using an optimization planning model.Methods: Historical data were statistically analyzed to determine whether the number of patients arriving at the ED varied by weekday, weekend, or holiday weekend. Poisson-based generalized additive models were used to de

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Xiao, B., Eric J. Palmiere, A. A. Howe, and H. C. Carey. "Multi-Pass Simulation of Heavy Plate Rolling Including Intermediate Forced Cooling." Advanced Materials Research 409 (November 2011): 443–48. http://dx.doi.org/10.4028/www.scientific.net/amr.409.443.

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Thermomechanical Controlled Processing (TMCP) including accelerated cooling after the final hot rolling pass is a well-established technology, widely applied in HSLA steel plate production. However, there are still certain limitations, especially for thicker plate. The rolling schedule includes a long holding period (HP) after the roughing stage to allow the temperature to fall sufficiently for optimised TMCP during finishing. Intermediate Forced Cooling (IFC) applied during the HP can increase productivity by decreasing the required hold time, can restrict austenite grain growth, and can also

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Hanappe, P., A. Beurivé, F. Laguzet, et al. "FAMOUS, faster: using parallel computing techniques to accelerate the FAMOUS/HadCM3 climate model with a focus on the radiative transfer algorithm." Geoscientific Model Development 4, no. 3 (2011): 835–44. http://dx.doi.org/10.5194/gmd-4-835-2011.

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Abstract. We have optimised the atmospheric radiation algorithm of the FAMOUS climate model on several hardware platforms. The optimisation involved translating the Fortran code to C and restructuring the algorithm around the computation of a single air column. Instead of the existing MPI-based domain decomposition, we used a task queue and a thread pool to schedule the computation of individual columns on the available processors. Finally, four air columns are packed together in a single data structure and computed simultaneously using Single Instruction Multiple Data operations. The modified

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Kagiri, Charles, Lijun Zhang, and Xiaohua Xia. "A Hierarchical Optimisation of a Compressed Natural Gas Station for Energy and Fuelling Efficiency under a Demand Response Program." Energies 12, no. 11 (2019): 2165. http://dx.doi.org/10.3390/en12112165.

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Compressed natural gas stations serve customers who have chosen compressed natural gas powered vehicles as an alternative to diesel and petrol based ones, for cost or environmental reasons. The interaction between the compressed natural gas station and electricity grid requires an energy management strategy to minimise a significant component of the operating costs of the station where demand response programs exist. Such a strategy when enhanced through integration with a control strategy for optimising gas delivery can raise the appeal of the compressed natural gas, which is associated with

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Vithanage, S. C., M. C. P. Sing, P. Davis, and T. Newaz. "The Influence of Organisational Safety Climate Factors on Offsite Manufacturing Safety Performance." IOP Conference Series: Earth and Environmental Science 1101, no. 4 (2022): 042028. http://dx.doi.org/10.1088/1755-1315/1101/4/042028.

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Abstract The construction industry consistently reports higher fatality and injury rates due to its inherent dynamic nature. As an alternative to traditional construction, offsite manufacturing (OSM) has become a construction method that presents many benefits including optimised schedule, quality control, waste reduction and improved site safety. Contrastingly, recent statistics on OSM indicated that in the USA for instance, the number of safety incidents were higher compared to traditional construction. There is a suggestion that organisations simply shift site-based construction activities

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Hidri, Lotfi, Achraf Gazdar, and Mohammed M. Mabkhot. "Optimized Procedure to Schedule Physicians in an Intensive Care Unit: A Case Study." Mathematics 8, no. 11 (2020): 1976. http://dx.doi.org/10.3390/math8111976.

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Hospitals are facing an important financial pressure due to the increasing of the operating costs. Indeed, the growth for the hospitals’ services demand causes a rising in the number of required qualified personnel. Enlarging the personnel number increases dramatically the fixed total cost. Based on some studies, 50% of operating costs in US hospitals are allocated to healthcare personnel. Therefore, reducing these types of costs without damaging the service quality becomes a priority and an obligation. In this context, several studies focused on minimizing the total cost by producing optimal

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Goekbuget, Nicola, Karl-Heinz Baur, Joachim Beck, et al. "Dexamethasone Dose and Schedule Significantly Influences Remission Rate and Toxicity of Induction Therapy in Adult Acute Lymphoblastic Leukemia (ALL): Results of the GMALL Pilot Trial 06/99." Blood 106, no. 11 (2005): 1832. http://dx.doi.org/10.1182/blood.v106.11.1832.1832.

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Abstract In 1999 the German Multicenter Study Group for Adult ALL (GMALL) activated a pilot study (GMALL 06/99). One major aim was to develop a new, shortened and intensified induction regimen based on the following new principles compared to previous GMALL trials: 1) Dexamethasone (DEXA) instead of prednisone to improve antileukemic activity and prophylaxis of CNS relapse 2) prephase with cyclophosphamide (CYCLO) 3) G-CSF parallel to chemo 4) intensified daunorubicin with two 2day cycles (DNR) vs 4 wkly applications 5)1 dose PEG-L-Asparaginase (ASP) instead of 14 d conventional ASP Induction

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Wang, Yabin, Chenghao Guo, and Jin Yu. "Immune Scheduling Network Based Method for Task Scheduling in Decentralized Fog Computing." Wireless Communications and Mobile Computing 2018 (September 2, 2018): 1–8. http://dx.doi.org/10.1155/2018/2734219.

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Fog computing has changed the distributed computing rapidly by including the smart devices widely distributed at the network edges. It is able to provide less latency and is more capable of decreasing traffic jam in the network. However, it will bring more difficulties for resource managing and task scheduling especially in a decentralized ad hoc network. In this paper, we propose a method that takes advantages of the immune mechanism to schedule tasks in a decentralized way for fog computing. By using forward propagation and backward propagation in the ad hoc network, the power of distributed

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Peng, Zhigong, Baozhong Zhang, Jiabing Cai, Zheng Wei, He Chen, and Yu Liu. "Optimization of Spring Wheat Irrigation Schedule in Shallow Groundwater Area of Jiefangzha Region in Hetao Irrigation District." Water 11, no. 12 (2019): 2627. http://dx.doi.org/10.3390/w11122627.

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Due to the large spatial variation of groundwater depth, it is very difficult to determine suitable irrigation schedules for crops in shallow groundwater area. A zoning optimization method of irrigation schedule is proposed here, which can solve the problem of the connection between suitable irrigation schedules and different groundwater depths in shallow groundwater areas. The main results include: (1) Taking the annual mean groundwater depth 2.5 m as the dividing line, the shallow groundwater areas were categorized into two irrigation schedule zones. (2) On the principle of maximizing the yi

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Taha, Dalia H. Y., Huseyin Haci, and Ali Serener. "Novel Channel/QoS Aware Downlink Scheduler for Next-Generation Cellular Networks." Electronics 11, no. 18 (2022): 2895. http://dx.doi.org/10.3390/electronics11182895.

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Downlink schedulers play a vital part in the current and next-generation wireless networks. The next generation downlink scheduler should satisfy the demand for different requirements, such as dealing with ultra-dense networks and the need to run real-time (RT) and non-real-time (nRT) applications, with a high quality of service (QoS). Many researchers have developed various schedulers for these, but none have introduced one scheduler to target them all. This paper introduces a novel channel/QoS aware downlink scheduler algorithm, called Advanced Fair Throughput Optimized Scheduler (AFTOS), fo

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Zhu, Hongli, and Hong Zhou. "Single Machine Predictive Scheduling Using Inserted Idle Times." Journal of Applied Mathematics 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/304808.

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A single machine predictive scheduling problem is considered. The primary objective is to minimize the total completion times. The predictability of the schedule is measured by the completion time deviations between the predictive schedule and realized schedule. The surrogate measure of predictability is chosen to evaluate the completion time deviations. Both of the primary objective and predictability are optimized. In order to absorb the effects of disruptions, the predictive schedule is generated by inserting idle times. Right-shift rescheduling method is used as the rescheduling strategy.

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Huang, Yu-Li, Narges Shahraki, Erin M. Wallin, Eric W. Klavetter, and Kyle W. Klarich. "Provider time allotment tracking tool to effectively manage assignment commitments." Journal of Hospital Administration 10, no. 3 (2021): 10. http://dx.doi.org/10.5430/jha.v10n3p10.

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Due to the rising demand with limited health service capacity, managing available resources effectively becomes an important task to reduce patient care delays and avoid unnecessary and costly capacity expansions. At the same time, staff satisfaction and/or burnout is a complementary consideration when designing optimal schedules. Deviation from the scheduled plan can cause delays in patient access and may lead to unsatisfaction among providers. Balancing demand management, staff satisfaction and generating optimized schedules quickly reveals the need for a tool that tracks provider time allot

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Mamdouh, Maged, Mostafa Ezzat, and Hesham Hefny. "Optimized Planning of Resources Demand Curve in Ground Handling based on Machine Learning Prediction." International Journal of Intelligent Systems and Applications 13, no. 1 (2021): 1–16. http://dx.doi.org/10.5815/ijisa.2021.01.01.

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Determining the resource requirements at airports especially in-ground services companies is essential to successful planning in the future, which is represented in the resources demand curve according to the future flight schedule, through which staff schedules are created at the airport to cover the workload with ensuring the highest possible quality service provided. Given in the presence of variety service level agreements used on flight service vary according to many flight features, the resources assumption method makes planning difficult. For instance, flight position is not included in

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Her, Emily J., Annette Haworth, Yu Sun, et al. "Biologically Targeted Radiation Therapy: Incorporating Patient-Specific Hypoxia Data Derived from Quantitative Magnetic Resonance Imaging." Cancers 13, no. 19 (2021): 4897. http://dx.doi.org/10.3390/cancers13194897.

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Purpose: Hypoxia has been linked to radioresistance. Strategies to safely dose escalate dominant intraprostatic lesions have shown promising results, but further dose escalation to overcome the effects of hypoxia require a novel approach to constrain the dose in normal tissue.to safe levels. In this study, we demonstrate a biologically targeted radiotherapy (BiRT) approach that can utilise multiparametric magnetic resonance imaging (mpMRI) to target hypoxia for favourable treatment outcomes. Methods: mpMRI-derived tumour biology maps, developed via a radiogenomics study, were used to generate

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Nair, Vivek, Samuel Auger, Sara Kochanny, et al. "Mathematical predication models to optimize post-treatment surveillance in HPV-associated oropharyngeal cancer." Journal of Clinical Oncology 39, no. 15_suppl (2021): 6027. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.6027.

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6027 Background: In this study we develop post-treatment imaging surveillance schedules for locally advanced oropharyngeal carcinoma (OPC) specific to the unique recurrence patterns of tumor stage and HPV status, using mathematical models. Current post-treatment imaging surveillance recommendations for OPC are not evidence based. The exception is the use of a positron emission tomography (PET) scan at 3 months post-treatment, after which practice across institutions diverge. An optimized and personalized surveillance schedule for OPC patients can minimize costs and diagnostic delays. Methods:

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Dasović, Borna, and Uroš Klanšek. "Integration of Mixed-Integer Nonlinear Program and Project Management Tool to Support Sustainable Cost-Optimal Construction Scheduling." Sustainability 13, no. 21 (2021): 12173. http://dx.doi.org/10.3390/su132112173.

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This paper presents the integration of mixed-integer nonlinear program (MINLP) and project management tool (PMT) to support sustainable cost-optimal construction scheduling. An integrated structure of a high-level system for exact optimization and PMT was created. To ensure data compatibility between the optimization system and PMT and to automate the process of obtaining a cost-optimal schedule, a data transformation tool (DTT) was developed within a spreadsheet application. The suggested system can determine: (i) an optimal project schedule with associated network diagram and Gantt chart in

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Zhao, Mengqi, Xiaoling Wang, Jia Yu, Lei Bi, Yao Xiao, and Jun Zhang. "Optimization of Construction Duration and Schedule Robustness Based on Hybrid Grey Wolf Optimizer with Sine Cosine Algorithm." Energies 13, no. 1 (2020): 215. http://dx.doi.org/10.3390/en13010215.

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Construction duration and schedule robustness are of great importance to ensure efficient construction. However, the current literature has neglected the importance of schedule robustness. Relatively little attention has been paid to schedule robustness via deviation of an activity’s starting time, which does not consider schedule robustness via structural deviation caused by the logical relationships among activities. This leads to a possibility of deviation between the planned schedule and the actual situation. Thus, an optimization model of construction duration and schedule robustness is p

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Perelstein, Elizabeth, Ariella Rose, Young-Chae Hong, Amy Cohn, and Micah T. Long. "Automation Improves Schedule Quality and Increases Scheduling Efficiency for Residents." Journal of Graduate Medical Education 8, no. 1 (2016): 45–49. http://dx.doi.org/10.4300/jgme-d-15-00154.1.

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ABSTRACT Background Medical resident scheduling is difficult due to multiple rules, competing educational goals, and ever-evolving graduate medical education requirements. Despite this, schedules are typically created manually, consuming hours of work, producing schedules of varying quality, and yielding negative consequences for resident morale and learning. Objective To determine whether computerized decision support can improve the construction of residency schedules, saving time and improving schedule quality. Methods The Optimized Residency Scheduling Assistant was designed by a team from

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Labidi, M., M. Mrad, A. Gharbi, and M. A. Louly. "Scheduling IT Staff at a Bank: A Mathematical Programming Approach." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/768374.

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We address a real-world optimization problem: the scheduling of a Bank Information Technologies (IT) staff. This problem can be defined as the process of constructing optimized work schedules for staff. In a general sense, it requires the allocation of suitably qualified staff to specific shifts to meet the demands for services of an organization while observing workplace regulations and attempting to satisfy individual work preferences. A monthly shift schedule is prepared to determine the shift duties of each staff considering shift coverage requirements, seniority-based workload rules, and

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Ünsal, Öner, Türker Dündar, Hızır Volkan Görgün, Alperen Kaymakci, Süleyman Korkut, and Nusret As. "Optimizing lumber drying schedules for Oriental beech and sessile oak using acoustic emission." BioResources 15, no. 3 (2020): 6012–22. http://dx.doi.org/10.15376/biores.15.3.6012-6022.

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The aim of this work was to detect sounds providing evidence of the creation of drying defects and to correlate such data with drying quality. A further goal was to establish sound wave thresholds of ideal drying through the drying process by using an acoustic emission (AE) monitoring method. Thus, it is projected to decrease long drying times and also drying costs by reaching to ideal drying schedules. In this study, commercially preferred sessile oak and oriental beech structural lumbers were dried with three different schedules in a conventional kiln. The lumbers were “listened to” with AE

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Le Page, Y. "Optimized Schedule for Large Crystallography Meetings." Journal of Applied Crystallography 29, no. 3 (1996): 291–95. http://dx.doi.org/10.1107/s0021889896000647.

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International crystallography meetings like the International Union of Crystallography, European Crystallographic Meetings and American Crystallographic Association ones currently offer very comprehensive programs with four parallel sessions or more over a week or so. Proper scheduling of these sessions is nearly as important for the scientific success of these meetings as the selection of topics. In order to tackle this problem objectively, it is proposed here to poll crystallographers about the sessions they most wish to attend, and to accept that schedule which minimizes the sum of residual

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Cheng, Hongbo, Yufan Cao, Jiaxin Wang, Wei Zhang, and Han Zeng. "A preventive, opportunistic maintenance strategy for the catenary system of high-speed railways based on reliability." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234, no. 10 (2019): 1149–55. http://dx.doi.org/10.1177/0954409719884215.

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The catenary is a vital component of the electrified railway system. It consists of many parts which are interrelated; the maintenance schedule of the catenary system should consider the influence of the interrelationship. In this study, a preventive, opportunistic maintenance method is proposed to schedule the maintenance process of the catenary system. First, the reliability of the key parts of the catenary is modeled using Weibull distribution. Second, a reliability margin is proposed to expand the maintenance time from point to interval, and the reliability margin is optimized to minimize

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WATANABE, Shoichiro, Takuya MORI, Takeru MIURA, and Takafumi KOSEKI. "1E22 Energy-Saving Schedule Design by Installing Optimized Rapid Service in DC-Electric Railways(Environment and Energy)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _1E22–1_—_1E22–12_. http://dx.doi.org/10.1299/jsmestech.2015._1e22-1_.

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Chang, Sze-Wei, and Paul Schonfeld. "Optimized Schedules for Airline Routes." Journal of Transportation Engineering 130, no. 4 (2004): 412–18. http://dx.doi.org/10.1061/(asce)0733-947x(2004)130:4(412).

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Bendib, Sonia Sabrina, Hamoudi Kalla, Salim Kalla, and Riadh Hocine. "A Self-Organized Scheduling Algorithm for Embedded Real-Time Systems." International Journal of Embedded and Real-Time Communication Systems 12, no. 2 (2021): 57–73. http://dx.doi.org/10.4018/ijertcs.2021040104.

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In this paper, the authors present a self-organized approach for scheduling tasks on processors in embedded real-time systems. For such a mapping, two conflicting objectives have to be optimized: the reliability and the schedule length. Since the scheduling problem is NP-hard, a heuristic algorithm is used to produce schedules achieving different trade-offs between the two objectives. Moreover, a self-organization strategy based on dynamic crowding distance is adopted. This allows a better exploration of the objective space as well as an enhanced solution diversity. The proposed algorithm, rel

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Ahssan, Md Ragib, Mehran Ektesabi, and Saman Gorji. "Gear Ratio Optimization along with a Novel Gearshift Scheduling Strategy for a Two-Speed Transmission System in Electric Vehicle." Energies 13, no. 19 (2020): 5073. http://dx.doi.org/10.3390/en13195073.

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A novel gearshift scheduling strategy has been framed for a two-speed transmission system in electric vehicles that can save energy during hilly driving and frequently changing driving conditions through efficient electric motor operation. Unlike the traditional approach, the proposed gearshift strategy is based on the preferred vehicle speed range, vehicle acceleration, and road grade to ensure desired vehicle performances with minimum energy consumption. Meanwhile, the vehicle speed range is chosen around the electric motor rated speed, and two gearshift schedules in relation to vehicle acce

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Wu, Fei, Paul M. Schonfeld, and Myungseob Kim. "Optimized Restoration Schedule for Disrupted Railroad Network." Journal of Transportation Engineering, Part A: Systems 147, no. 9 (2021): 04021053. http://dx.doi.org/10.1061/jtepbs.0000560.

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