Deep Reinforcement Learning for Dynamic Pricing and Ordering Policies in Perishable Inventory Management by Yusuke Nomura, Ziang Liu, Tatsushi Nishi

“…The results show that dynamic programming with action reduction achieved an average of 63.1% reduction in computation time compared to vanilla dynamic programming. …”
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Patient Controlled Analgesia for Adults with Sickle Cell Disease Awaiting Admission from the Emergency Department by Josue Santos, Sasia Jones, Daniel Wakefield, James Grady, Biree Andemariam

“…Mean pain intensity (MPI) reduction did not differ between groups. Among visits where PCA was begun in the ED, low utilizers demonstrated greater MPI reduction than high utilizers (2.8 versus 2.0, p=0.04). …”
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MUSCLE MRI SEGMENTATION USING RANDOM WALKER METHOD by A. V. Shukelovich, E. V. Snezhko, V. A. Kovalev, A. V. Tuzikov

“…The possibility of clinician’s manual labor amount reduction and random walker algorithm optimization is studied.…”
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Diagnostics and treatment of peptic ulcer: clinical guidelines of the Russian gastroenterological Association by V. T. Ivashkin, A. A. Sheptulin, I. V. Mayev, Ye. K. Baranskaya, A. S. Trukhmanov, T. L. Lapina, S. G. Burkov, A. V. Kalinin, A. V. Tkachev

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Optimizing energy cost in the residential sector through home energy management systems in a smart grid environment by Nabeeha Qayyum, Umar Jamil, Anzar Mahmood

“…The results show that GA achieved a 48% cost reduction compared to PSO, with significant peak load reduction and improved energy optimization when integrated with PV systems. …”
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Flexibility in load demand and PHEV parameters for clean and economic microgrid operation by Bishwajit Dey, Srikant Misra, Arnab Pal

“…Furthermore, a balanced economic emission dispatch is used to achieve the best trade-off between cost minimisation and pollution reduction, ensuring long-term MG functioning. Numerical results corroborate the improvement of load factor and reduction of peak demand using DSM methods. …”
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A robust multi-scale clustering framework for single-cell RNA-seq data analysis by Songrun Jiang, Chunyan Wang, Qiucheng Sun, Zhi Zhang

“…The source code for our algorithm is publicly available at https://github.com/DEREKJ24/scMSCF .…”
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Integrated energy, environmental, and economic optimization for energy management systems in PHEVs considering traffic conditions by Morteza Montazeri-Gh, Ehsan Alimohammadi

“…In these vehicles, critical concerns include the reduction of fuel consumption, control of pollution, and the costs associated with battery degradation. …”
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Improving Scheduling Efficiency: A Mathematical Approach to Multi-Operation Optimization in MSMEs by Reyner Pérez-Campdesuñer, Alexander Sánchez-Rodríguez, Margarita De Miguel-Guzmán, Gelmar García-Vidal, Rodobaldo Martínez-Vivar

“…The application resulted in a 95.3% improvement in the level of utilization; a 79.3% reduction in the average completion time; a 90.5% reduction in machine waiting time; and a 90.9% decrease in product delivery delay. …”
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Isolated Syndesmotic Fixation is Associated with Increased Risk of Arthrodesis and Arthroplasty Operations Compared to Nonoperatively Managed Syndesmotic Injury: A Propensity-Score... by Sean Sequeira MD, Heath P. Gould MD, Walter C. Hembree MD

“…Patients who underwent surgical stabilization were matched using a propensity scoring algorithm to patients who were managed nonoperatively. …”
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Multidimensional correlates of psychological stress: Insights from traditional statistical approaches and machine learning using a nationally representative Canadian sample. by Benjamin A Hives, Mark R Beauchamp, Yan Liu, Jordan Weiss, Eli Puterman

“…In order to create effective interventions and public policy for stress reduction, factors associated with stress must be identified and understood. …”
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Electric Vehicle Charging Load Forecasting Method Based on Improved Long Short-Term Memory Model with Particle Swarm Optimization by Xiaomeng Yang, Lidong Zhang, Xiangyun Han

“…In the spring, the MAE is 3.910, showing a 2.71% improvement over the LSTM model and a 7.32% reduction compared to the GRU model.…”
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Traffic Speed Forecast in Adjacent Region between Highway and Urban Expressway: Based on MFD and GRU Model by Yuan Gao, Jiandong Zhao, Ziyan Qin, Yingzi Feng, Zhenzhen Yang, Bin Jia

“…The proposed algorithm’s prediction performance is verified based on the GPS data collected from the adjacent region between Beijing Highways and Expressway.…”
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A VMD-LMS filtering approach for DAS noise suppression by Lang Xie, Jingcai Xu, Peidong Hou, Juxiang Qiu, Yu Wu

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A Novel Compressive Optical Encryption via Single-Pixel Imaging by Chenggong Zhang, Bennian Han, Wenqi He, Xiang Peng, Chen Xu

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Multiobjective TOU Pricing Optimization Based on NSGA2 by Huilan Jiang, Bingqi Liu, Yawei Wang, Shuangqi Zheng

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Delta-radiomics Entropy Based on Tumor Heterogeneity Concept – Response Predictor to Irradiation for Unresectable/recurrent Glioblastoma by Camil Ciprian MIRESTEAN, Roxana Irina IANCU, Dragos Teodor IANCU

“…The aim of the study is to propose a delta-radiomic based on entropy algorithm to allow the non-invasive pre-therapeutic identification of patients with unresectable or recurrent multiform glioblastoma who will benefit from irradiation and/or salvage re-irradiation. …”
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Using Machine Learning to Shorten and Adapt Fall Risk Assessments for Older Adults by Lilyana Khatib, Adi Toledano-Shubi, Hilla Sarig Bahat, Hagit Hel-Or

“…The adaptive approach reduces task sequences by over 50% while maintaining high predictive accuracy. It also enables remote testing, predicting performance on complex tasks using as few as 2–3 simpler, accessible tasks. …”
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Fault diagnosis of DC distribution network based on improved matrix half-tensor product Bayesian network by YU Huanan, QIU Huahua, WANG He, LI Shiqiang, WEI Bo

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Traffic weaver: Semi-synthetic time-varying traffic generator based on averaged time series by Piotr Lechowicz, Aleksandra Knapińska, Adam Włodarczyk, Krzysztof Walkowiak

“…The primary motivation behind Traffic Weaver is to furnish semi-synthetic time-varying traffic in telecommunication networks, facilitating the development and validation of traffic prediction models, as well as aiding in the deployment of network optimization algorithms tailored for time-varying traffic.…”
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