AHP-MOORA framework for longitudinal evaluation of Pharm.D program learning outcomes: a tool for Saudi pharmacy programs accreditation and curriculum enhancement by Sultan M. Alshahrani

“…This study aimed to establish a scalable framework for evaluating PLOs’ achievement under the National Commission for Academic Accreditation and Assessment (NCAAA) criteria.MethodsA mixed-methods methodology was utilized in a public pharmacy institution in Saudi Arabia. …”
Get full text

Constrained total least squares localization using angle of arrival and time difference of arrival measurements in the presence of synchronization clock bias and sensor position er... by Ruirui Liu, Ding Wang, Jiexin Yin, Ying Wu

“…Subsequently, a set of pseudo-linear equations are constructed, based on which the constrained total least squares optimization model has been formulated for target localization and the Newton iteration is applied to obtain the source position and clock bias simultaneously. …”
Get full text

Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning by Miki Arai Hojo, Taku Tsuzuki, Yosuke Ozawa, Toshiyuki Araki, Hidetoshi Sakurai

“…We selected Fast Fourier transform (FFT) as the feature extraction method and confirmed that it captures the characteristics of cells during differentiation. …”
Get full text

A Pocket Assay Grouting Technology for Rock Burst Control under Huge-Thick Conglomerate by Junwei Shi, Xiangrui Meng, Jifang Du, Yu Dong, Ying Wang

“…The grouting technology is proved to effectively limit the bending settlement of conglomerate, control stress concentration of conglomerate, and improve the structure of the source of rock burst, which is an effective method for the control of huge-thick conglomerate. …”
Get full text

Inversion model of stress state reconstruction for geological hazard pipelines based on digital twin by Xue Luning, Tian Mingliang, Zhao Juncheng

“…The mechanical state of the physical pipeline is mapped in real time by the digital twin, the numerical simulation and multi-source monitoring data are integrated, and the parameters of the twin model are dynamically optimized by combining the optimization algorithms of Particle Swarm Optimization (PSO) and Support Vector Machine (SVM), so as to realize the real-time prediction of the pipeline stress state and the dynamic updating of the disaster scenario. …”
Get full text

Feature Extraction and Identification of Rheumatoid Nodules Using Advanced Image Processing Techniques by Azmath Mubeen, Uma N. Dulhare

“…A Hybrid CNN–Transformer model was employed for feature fusion, and feature selection and hyperparameter tuning were optimized using Gray Wolf Optimization (GWO) and Particle Swarm Optimization (PSO). …”
Get full text

Forecasting the daily energy load schedule of working days using meteofactors for the central power system of Mongolia by A. G. Rusina, O. Tuvshin, P. V. Matrenin

“…As initial inputs historical data on load, temperature and outdoor air humidity of the central energy system were used, which has the most of the energy demand and sources of Mongolia by 2021.RESULTS. According to the method of statistical analysis, daily load curves were constructed with an absolute percentage error of 2.68%. …”
Get full text

Innovative Application Strategies of Light-Emitting Diodes in Protected Horticulture by Xinying Liu, Qiying Sun, Zheng Wang, Jie He, Xin Liu, Yaliang Xu, Qingming Li

“…However, the scientific explanation of the above lighting strategies remains to be clearly revealed, providing theoretical support for the further optimization of conducting parameters. This review summarizes the physiological effects of different lighting strategies on crop cultivation and illustrates their future application in facility agriculture, aiming to provide novel methods for elevating the energy utilization efficiency and lowering the cost in facility agriculture using artificial light.…”
Get full text

Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

“…Future research directions include optimizing computational efficiency for deployment in edge computing and resource-constrained environments, as well as extending the framework to multimodal environmental data sources, such as hyperspectral imagery and sensor networks.…”
Get full text

Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence by Ahmet Cifci

“…Ensuring the stability and reliability of the grid, particularly with the integration of renewable energy sources and the increase in the number of prosumers, is a primary challenge in this domain. …”
Get full text

A Province-Wide Home Dialysis Program Review: Challenges, Strengths, and Future Strategies by Megan Borkum, Micheli Bevilacqua, Alexandra Romann, Krishna Poinen, Sushila Saunders, Linda Turnbull, R. Suneet Singh, Adeera Levin, Michael A. Copland

“…Sources of information: This review draws on published articles, program reports, and insights from the provincial kidney care program framework. …”
Get full text

Ecological network construction and community resilience analysis of nocturnal birds: a case study of Hangzhou City, Zhejiang Province, China by Yang Jin, Mingkan Zhang, Danying Yan, Kun Li, Chao Zhou, Xi Chen

“…Using community detection methods to analyze the differences in attributes, habitats, and topological structures between network communities. …”
Get full text

Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning by Pengcheng Wu, Yan Shi, Pengfei Zhao, Zhengzhao Gu

“…In this work, we propose a novel framework that fundamentally advances existing Transformer-based methods through the introduction of the Dynamic Temporal Attention Network (DTAN) and the Hierarchical Temporal Optimization Strategy (HTOS), which jointly address long-term dependency capture, interpretability, and domain-specific adaptation in a unified architecture. …”
Get full text

Limnospira fusiformis from Lake Solenoe, Omsk: Rationalizing Marketing and Research by Elena A. Moliboga, Viktoriya V. Leushkina

“…The authors used both experimental and marketing methods to study the range of spirulina-containing products on the food market of Omsk and its surroundings. …”
Get full text

Epidemiological Rationale for Changing the Strategy and Tactics of Vaccination of Pertussis in Current Conditions by K. A. Subbotina, I. V. Feldblium, E. A. Kochergina, N. A. Lechtina

“…A research objective – definition of the main directions of improvement of epidemiological control of a pertussis on the basis of studying of manifestations of epidemic process and its determinants. Materials and methods. The analysis of incidence is carried out according to official statistics in 19 years, the population antipertussoid immunity is studied by results of routine serological monitoring and specially organized screening researches. …”
Get full text

Deciphering city-level residential AMI data: An unsupervised data mining framework and case study by Han Li, Miguel Heleno, Kaiyu Sun, Wanni Zhang, Luis Rodriguez Garcia, Tianzhen Hong

“…Buildings account for more than one third of global energy consumption and carbon emissions, making the optimization of their energy use crucial for sustainability. …”
Get full text

Comparative Analysis of Control Strategies for Microgrid Energy Management with a Focus on Reinforcement Learning by Parisa Mohammadi, Razieh Darshi, Saeed Shamaghdari, Pierluigi Siano

“…This transformation necessitates advanced energy management strategies in microgrids to integrate renewable energy sources efficiently. Traditional methods, including classical, metaheuristic, model predictive, stochastic, and robust control techniques, have been extensively studied. …”
Get full text

Large-scale activity-based demand generation modeling: A literature review and exploration of potential approaches by Ngoc An Nguyen, Joerg Schweizer, Federico Rupi

“…Furthermore,potential research directions are also discussed, including the development of travel models for large-scale scenarios using big data sources and the optimization of their integration with dynamic traffic assignment. …”
Get full text

Flue Gas Temperature Distribution as a Function of Air Management in a High-Temperature Biomass Burner by Aleksandra Dzido, Michalina Kurkus-Gruszecka, Marcin Wilczyński, Piotr Krawczyk

“…Nowadays, as a result of the increasing awareness of European societies and new legal regulations, the role of renewable energy sources in individual heating is growing. One of the forms of renewable heat and electricity production is the use of biomass pellet burners coupled with Stirling engines. …”
Get full text

Application of the multiagent approach for modeling integrated energy systems by V. A. Stennikov, E. A. Barakhtenko, G. S. Mayorov

“…Traditionally, the considered energy systems unite large energy sources, such as hydro, thermal power plants, combined heat and power plants, boiler plants and electric and pipeline networks distributed over a large area. …”
Get full text