ADAPTATION OF “DRIED BLOOD DROP” METHOD FOR THERAPEUTIC DRUG MONITORING by V. I. Petrov, I. S. Anikeev, T. E. Zayachnikova, A. V. Strygin, A. M. Dotsenko

“…However, to date, the implementation of TDM is associated with various difficulties, for the solution of which more convenient and less invasive methods for collecting biological material are being developed.The aim of the study was to develop protocols for the collection and storage of “dried blood spot” (DBS) samples, as well as protocols for the validation methods for the quantitative determination of drugs in whole blood, using this technology for subsequent therapeutic drug monitoring.Materials and methods. …”
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Voltage unbalance assessment in a distribution system incorporated with renewable‐based sources and electric vehicles in an uncertain environment by Nandini K. K., Jayalakshmi N. Sabhahit, Vinay Kumar Jadoun

“…The proposed problem is solved using two different optimization methods i.e., a modified version of JAYA and whale optimization algorithm (WOA) using MATLAB software. …”
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The clinical value and most informative threshold of polygenic risk score in the Quebec City Case-Control Asthma Cohort by Martin Pariès, Stéphanie Bougeard, Aida Eslami, Zhonglin Li, Michel Laviolette, Louis-Philippe Boulet, Evelyne Vigneau, Yohan Bossé

“…The value of PRS, as part of numerous multi-source variables used to define asthma, remains unclear. …”
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Centralized Shared Energy Storage Optimization Framework for AC/DC Distribution Systems with Dual-Time-Scale Coordination by Yidi Zhu, Qian Xiao, Hongjie Jia, Wenbiao Lu, Yu Jin

“…An alternating direction multiplication method (ADMM) algorithm is used to coordinate the intraday optimization. …”
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Multi-Objective Robustness of Integrated Energy System Considering Source-Load Uncertainty by LI Jianlin, ZHANG Zedong, LIANG Ce, ZENG Fei

“…Therefore, a multi-objective two-stage robust optimization method is proposed, taking into account the source-load uncertainty. …”
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Arctic tern-optimized weighted feature regression system for predicting bridge scour depth by Jui-Sheng Chou, Asmare Molla

“…The automated predictive analytics underscore the robustness, efficiency, and stability of ATO-WFLSSVR compared to existing methods. This study's notable contributions include the development of an innovative optimization algorithm named Arctic Terns Optimizer (ATO), proficiency in solving high-dimensional optimization problems, and the creation of a user-friendly graphical interface system, a promising tool for civil engineers to estimate scour depth at bridges. …”
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Loss Analytic Calculation and Error Analysis for HVDC Converter by Biaojun LI, Quanzhou XIANG, Chuantao YAO, Qiong YU

“…The influence factors associated with loss and their weights are extracted, which provides a basis for targeted loss optimization. Considering that the nearest level control strategy is adopted for the converter valve in practical engineering, the error sources of the analytical calculation method are analyzed, and a feasible and high precision loss calculation method based on waveform data of project site is proposed.…”
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Pollution Source Detection With Low‐Cost Low‐Accuracy Sensors Through Coupling Forward Data Assimilation and Inverse Optimization by Chi Zhang, Zhe Zhu, Yu Li, Erhu Du, Yan Sun, Zhihong Liu

“…This study aims to develop a novel PSD method to use low‐accuracy sensor data, namely, the method of coupled forward data Assimilation and inverse Optimization in PSD (A&O‐PSD). …”
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Energy Storage Configuration Optimization of a Wind–Solar–Thermal Complementary Energy System, Considering Source-Load Uncertainty by Guangxiu Yu, Ping Zhou, Zhenzhong Zhao, Yiheng Liang, Weijun Wang

“…To address this insufficiency, this study proposes an optimal energy storage configuration method considering source-load uncertainties. …”
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Optimization of Bioactive Compound Extraction from Rose Myrtle Fruit (Rhodomyrtus tomentosa, (W.Ait), Myrtaceae) as the Antioxidant Source by Titik Ismandari, Sri Kumalaningsih, Susinggih Wijana, Siti Asma’ul Mustaniroh

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Inertia Optimization Control Model of AC/DC Sending-End System Based on Multi-source Energy Storage Coordination by Song XIANG, Peng SU, Jian WU, Xin LIU, Jitao MA

“…To address the low inertia level of AC/DC sending-end systems with high-proportion new energy access, this paper proposes an optimal control method for the inertia of such systems based on multi-source energy storage coordination. …”
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Multi-Scenario Stochastic Optimal Scheduling for Power Systems With Source-Load Matching Based on Pseudo-Inverse Laguerre Polynomials by Jiahao Ye, Lirong Xie, Lan Ma, Yifan Bian, Chuanshi Cui

“…In the optimization scheduling of power systems containing renewable energy, to ensure that the scheduling results have higher security and better economy, this study proposes a multi-objective forecasting, scenario generation, and decision scheduling integrated stochastic optimal scheduling method. …”
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Lighting Spectrum Optimization With Deep Learning for Moss Species Classification by Kenichi Ito, Pauli Falt, Markku Hauta-Kasari, Shigeki Nakauchi

“…Additionally, adequate lighting is crucial for detailed imaging in dark environments lacking ambient light. Hence, we propose a method for obtaining spectral information on moss in the forest using a deep learning model to train convolutional neural network models while optimizing a suitable light source for moss identification. …”
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Dynamic gating-enhanced deep learning model with multi-source remote sensing synergy for optimizing wheat yield estimation by Jian Li, Jian Li, Junrui Kang, Junrui Kang, Jian Lu, Jian Lu, Hongkun Fu, Hongkun Fu, Zheng Li, Zheng Li, Baoqi Liu, Xinglei Lin, Xinglei Lin, Jiawei Zhao, Hengxu Guan, He Liu, Zhihan Liu

“…This study introduces the Spatio–Temporal Fusion Mixture of Experts (STF-MoE) model, an innovative deep learning framework built upon an LSTM-Transformer architecture.MethodsThe STF-MoE model incorporates a heterogeneous Mixture of Experts (MoE) mechanism with an adaptive gating network. …”
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Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions by You-Kwang Wang, Chien-Yu Chen

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AUTONOMOUS POWER SUPPLY SYSTEMS WITH RENEWABLE SOURCES OF ENERGY AND SMART GRID by L. M. Chetoshnikova, N. I. Smolentsev, S. A. Chetoshnikov, G. V. Gusarov

“…Especially effective in this direction will be the construction of autonomous systems using renewable energy sources and local smart grids. The coordinated work of all elements of systems and optimal control of energy flows is solved by mathematical modeling methods.…”
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rule4ml: an open-source tool for resource utilization and latency estimation for ML models on FPGA by Mohammad Mehdi Rahimifar, Hamza Ezzaoui Rahali, Audrey C Therrien

“…This paper introduces a novel method to predict the resource utilization and inference latency of neural networks (NNs) before their synthesis and implementation on FPGA. …”
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IMPACT OF SEASONALITY OF GENERATION AND LOAD ON THE OPTIMAL CAPACITY OF THE ENERGY STORAGE SYSTEM OF THE PROSUMER’S MICROGRID by O.В. Кулапін, A.В. Івахнов, С.O. Федорчук, К.В. Махотіло, Д.О. Данильченко, О.В. Булгаков

“…This study presents a method that allows optimizing the capacity of the energy storage system, taking into account various controller algorithms of the operation of the prosumer’s microgrid. …”
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A capacity allocation model for source-side shared energy storage considering multiple typical scenarios by YAN Limei, HU Jianan, ZHAO Shuqi

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Comprehensive review of energy management strategies: Considering battery energy storage system and renewable energy sources by Obed N. Onsomu, Erman Terciyanlı, Bülent Yeşilata

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