Control Strategy for Power Fluctuation Smoothing at Distribution Network Substations Considering Multiple Types of Adjustment Resources by Shaobo Yang, Xuekai Hu, Liang Meng, Shiwei Xue, Hao Zhou, Fengming Shi, Siyang Liao

“…In the day-ahead stage, traditional voltage regulation devices such as the OLTC (on-load tap changer) and CB (circuit breaker) are pre-dispatched based on source–load forecasts, optimizing the fluctuation range of substation power and the number of device operations. …”
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Analysis of the state of geometrization development and digital modeling in open-pit mining enterprises by M.S. Kunytska, D.S. Polishchyk, O.V. Shapochnikov

“…Key development trends are identified: integration of digital technologies, improvement of methods of collecting and processing geospatial data, introduction of machine learning algorithms for risk prediction. …”
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Implementation of public tasks in the light of responsibility for the effective spending of public funds by Zbigniew Tetłak

“…In the Public Finance Act (Article 44), the legislator linked the effectiveness of spending public funds with the effectiveness and optimization of the selection of methods for achieving set goals and the timely implementation of incurred obligations. …”
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Functional features of photosynthetic apparatus of modern high-yielding winter wheat varieties by В. В. Моргун, О. О. Стасик, Д. А. Кірізій, Г. О. Прядкіна

“…The superiority for grain productivity of modern high-yielding wheat varieties, originated from the Institute of Plant Physio­logy and Genetics, NAS of Ukraine, over varieties released before the “green revolution”, results from increased capacity and durability of functioning the crop photosynthetic apparatus, higher CO2 assimilation rate and optimization of source-sink relations in whole plant.…”
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The climate impact and land use of cultivated meat: Evaluating agricultural feedstock production. by Hanno Kossmann, Thorsten Moess, Peter Breunig

“…Extraction methods, crop choice, and energy sources will strongly influence future pathways for CM. …”
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A Comprehensive Review of Machine Learning Approaches for Flood Depth Estimation by Bo Liu, Yingbing Li, Minyuan Ma, Bojun Mao

“…Through statistical analysis, this research explored the most commonly used machine learning models and their primary data sources. Building on this foundation, we also examined the potential for integrating machine learning methods with smart city frameworks and artificial intelligence large models for flood depth calculations. …”
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

“…Furthermore, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) used for model optimization. …”
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Micropropagation of Rare Endemic Species <i>Allium microdictyon</i> Prokh. Threatened in Kazakhstani Altai by Damelya Tagimanova, Olesya Raiser, Alevtina Danilova, Ainur Turzhanova, Oxana Khapilina

“…Mature seeds of <i>A. microdictyon</i> collected from natural habitats in the Kazakhstani Altai were used as explants. Optimization of seed sterilization methods, selection of growth regulators for inducing adventitious shoot formation and microclonal propagation, and optimization of conditions for adaptation of regenerants to ex vitro conditions were carried out. …”
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Allelism of Rps3b and Rps11 revealed by NLR gene capture of resistance genes to Phytophthora sojae in soybean by Yanick Asselin, Luann A. F. Dias, Caroline Labbé, Amandine Lebreton, Vincent‐Thomas Boucher‐St‐Amour, Benjamin Cinget, François Belzile, Gaspar Malone, Francismar C. Marcelino‐Guimarães, Richard R. Bélanger

“…Therefore, little is known about the identities or relationships between those genes, a hindrance preventing optimal introgression of new sources of resistance into elite soybean lines. …”
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A new approach for bin packing problem using knowledge reuse and improved heuristic by Jie Fang, Xubing Chen, Yunqing Rao, Yili Peng, kuan Yan

“…In this study, the similarity measurement method based on the twin neural network model is used to evaluate the similarity of pieces in the source task and the target task. …”
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Agromorphological Evaluation of Elite Lines of Native Tomato (<i>Solanum lycopersicum</i> L.) from Central and Southern Mexico by María Concepción Valencia-Juárez, Enrique González-Pérez, Salvador Villalobos-Reyes, Carlos Alberto Núñez-Colín, Jaime Canul-Ku, José Luis Anaya-López, Elizabeth Chiquito-Almanza, Ricardo Yáñez-López

“…Therefore, it is necessary to explore and characterize new sources of germplasms. This study aimed to characterize new sources of germplasm and identify the most transcendental traits for distinguishing tomato types and lines that are useful for the genetic improvement of the species. …”
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The Value of Using Green Extraction Techniques to Enhance Polyphenol Content and Antioxidant Activity in <i>Nasturtium officinale</i> Leaves by Eva Naoum, Aikaterini Xynopoulou, Konstantina Kotsou, Theodoros Chatzimitakos, Vassilis Athanasiadis, Eleni Bozinou, Stavros I. Lalas

“…The FRAP method measured 57.15 μmol ascorbic acid equivalents (AAE)/g dw, while the DPPH radical scavenging activity method measured 47.55 μmol AAE/g dw. …”
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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…This review consolidates existing knowledge on key aspects, including data governance, quality management, privacy measures, ownership, access control, accountability, traceability, curation frameworks, and storage systems. Methods We conducted a systematic literature search up to January 10, 2024, across PubMed, MEDLINE, EMBASE, Scopus, and additional scholarly platforms to examine recent advances and challenges in managing the vast and complex datasets generated by these technologies. …”
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Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…Although state-of-the-art deep learning-based OD methods achieve high detection rates, their large model size and high computational demands often hinder deployment on resource-constrained edge devices. …”
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Psycho-emotional conditions in primary care physicians who serve in a direct vicinity to the frontline by Larysa Kupriianova, Daryna Kupriianova

“…Concepts, visions and recommendations were created to optimize both the psycho-emotional well-being of first-line medical specialists and their more optimized social inclusion into civilian post-war professional and social life. …”
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Forecasting Significant Wave Height Intervals Along China’s Coast Based on Hybrid Modal Decomposition and CNN-BiLSTM by Kairong Xie, Tong Zhang

“…This study proposes a deep learning method based on buoy datasets collected from four research locations in China’s offshore waters over three years (2021–2023, 3-hourly). …”
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Liquid-Liquid Extraction/Low-Temperature Purification (LLE/LTP) Followed by Dispersive Solid-Phase Extraction (d-SPE) Cleanup for Multiresidue Analysis in Palm Oil by LC-QTOF-MS by Elham Sobhanzadeh, Keivan Nemati

“…An evaluation of the extraction of multiresidue pesticides from palm oil by liquid-liquid extraction/low-temperature purification (LLE/LTP) coupled with dispersive solid-phase extraction (d-SPE) as the cleanup procedure with the determination by liquid chromatography mass spectrometry using electrospray as the ionization source (LC-ESI-MS) was carried out. Optimization approaches were studied in terms of d-SPE to select efficiency of type and mass of adsorbents to obtain the highest recovery yield of pesticides and the lowest coextract fat residues in the final extract. …”
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Quantitative assessment of PM2.5-related human health impacts at the provincial level in China and analysis of its heterogeneity affected by economic structural transformation by Yue Wang, Xiaoyi Zhang, Yanyong Hu, Xiaolu Du, Xin Zhao, Yingshan Sun

“…By uncovering the primary regions and pivotal sectors of PM2.5-related human health impacts (PM2.5-HHI) and evaluating the influence of economic structural factors on them, we can facilitate a more targeted strategy for managing PM2.5 pollution sources. This study employs a structural decomposition analysis method based on input–output analysis to evaluate the impact of China’s provincial economic structural transformation and changes in final demand on PM2.5-HHI in the years 2012, 2015, and 2017. …”
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Improvement of point cloud feature extraction and alignment algorithms and lidar slam in coal mine underground by Guanghui XUE, Zhenghao ZHANG, Guiyi ZHANG, Ruixue LI

“…Initially, the method constructs kd-tree structures for the source and target point clouds, reduces point cloud numbers through statistical and voxel filtering, extracts point cloud surface normal, and computes fast point feature histogram descriptors for key points. …”
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Wafer-scale uniformity improvement of Dolan-bridge Josephson junction by shadow evaporation bias correction by Daria A. Moskaleva, Nikita D. Korshakov, Dmitry O. Moskalev, Anastasiya A. Soloveva, Alexey R. Matanin, Elizaveta I. Malevannaya, Nikita S. Smirnov, Maksim I. Teleganov, Yuri V. Panfilov, Ilya A. Rodionov

“…Here, we report on a robust wafer-scale Al/AlOx/Al Dolan-bridge Josephson junction (JJ) process using preliminary shadow evaporation bias resist mask correction and comprehensive oxidation optimization. We introduce a topology correction model for two-layer resist mask biasing at a wafer-scale, which takes into account an evaporation source geometry. …”
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