Unmanned Aerial Geophysical Remote Sensing: A Systematic Review by Farzaneh Dadrass Javan, Farhad Samadzadegan, Ahmad Toosi, Mark van der Meijde

“…However, implementing geophysical methods on UAVs poses challenges, prompting ongoing research and development efforts worldwide to find optimal solutions from both hardware and software perspectives.…”
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Recent progress on the solid-state materials for photocatalysis by Laku Dorjee Tamang, Shivraj Gurung, Zosiamliana Renthlei, Celestine Lalengmawia, Bhanu Chettri, Jitendra Pal Singh, Amel Laref, Mukhriddin E. Tursunov, Avazbek T. Dekhkonov, D. P. Rai

“…Among these methods, photocatalysis is considered one of the best ways to produce hydrogen because of carbon-free and uses renewable sources of energy. …”
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Improving Soil Moisture Estimation by Integrating Remote Sensing Data into HYDRUS-1D Using an Ensemble Kalman Filter Approach by Yule Sun, Quanming Liu, Chunjuan Wang, Qi Liu, Zhongyi Qu

“…However, capturing their spatial and temporal variability is difficult when using individual observations, modeling, or satellite-based methods. Here, we present an integrated framework that combines satellite-derived soil moisture estimates, ground-based observations, the HYDRUS-1D vadose zone model, and the ensemble Kalman filter (EnKF) data assimilation method to improve soil moisture simulations over saline-affected farmland in the Hetao irrigation district. …”
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Determining of trend variation in quality parameters of Shabestar plain underground water by Mehdi Panahi, Farhad Misaqi, Farid Ghanbari

“…Introduction: Groundwater has long been the most ´trusted water source of human beings that is used in the agricultural and drinking sectors. …”
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INFLUENCE OF THE SPATIAL ARRANGEMENT OF SEISMIC DETECTORS ON THE ACCURACY OF EARTHQUAKE HYPOCENTRE DETERMINATION by T. G. Aslanov, Кh. J. Magomedov, U. A. Musayeva, Кh. Y. Tagirov

“…To determine the coordinates of the seismic focus of an earthquake with a minimum margin of error with the use of an optimal selection of seismic sensors. Method. Seismic wave velocity data, relying on the time discrepancies between the registering of seismic waves on the seismic sensor and the defined error in determining the time difference, were used to identify errors in the location of an earthquake's hypocenter depending on the respective positions of three seismic sensors. …”
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Electromagnetic emission mechanism analysis and filtering research for traction system in urban rail transit vehicle by YANG Deyong, ZHU Bingquan

“…Finally, the effectiveness of the proposed optimization method was verified by external radiation emission tests using trains.…”
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Occurrence of antibiotics and antibiotic resistance genes at various stages of different aquaculture modes surrounding Tai Lake, China by Congcong Wu, Congcong Wu, Haitao Ye, Mingzhu Xu, Xuan Zhao, Xuejie Zhao, Lina Li, Mingzhi Li, Yanfei Wei, Yuru Li, Baolan Hu, Baolan Hu

“…IntroductionAquaculture is an important source of antibiotics and ARGs in environmental waters. …”
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Progress and prospect of blue food research: Analysis based on “Web of Science” literature by ZHANG Yu, LIU Jiaming, ZHU He, ZHANG Jinhe, TIAN Qing, WANG Mengfan

“…By comprehensively sorting out the development context and research trends of blue food, its hot topics and future development direction can be further summarized. [Methods] Based on the “Web of Science Core Collection (1985-2023)” as the data source, this study analyzed the relevant research results of blue food based on CiteSpace software, and discussed the research framework and future key issues of blue food from the perspective of geography. …”
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Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning by Johan Helleberg, Anna Sundelin, Johan Mårtensson, Olav Rooyackers, Ragnar Thobaben

“…Our study aimed to employ supervised machine learning to accurately identify blood gas samples as arterial or venous using PDMS data. Methods A retrospective, single-center observational cohort study including all blood gases during 2018 from a Swedish, pediatric and adult general ICU. …”
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Synthesis of 1-(2-Hydroxy-5-methylphenyl)-5-oxopyrrolidine-3-carboxylic Acid Derivatives as a Promising Scaffold Against Disease-Causing Bacteria Relevant to Public Health by Karolis Krikštaponis, Jūratė Šiugždaitė, Rita Vaickelionienė, Vytautas Mickevičius, Birutė Grybaitė

“…The test results show the potential of the newly obtained derivatives as a source of antibacterial agents. Therefore, further studies on the molecular optimization of these compounds are necessary for the development of new antibacterial drugs.…”
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Research on green supply chain finance risk identification based on two-stage deep learning by Ying Liu, Sizhe Li, Chunmei Yu, Mingli Lv

“…Compared with traditional deep learning methods, the proposed two-stage deep integration model effectively reduces training loss and exhibits superiority in identifying green supply chain finance risks.…”
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Economic and Social Aspects of the Space Sector Development Based on the Modified Structure–Conduct–Performance Framework by Michał Pietrzak

“…Objective: To assess the space economy’s current state and future prospects by considering its economic and social dimensions. Methods: Over 120 scholarly articles and “grey” literature positions (e.g., industry reports) were reviewed. …”
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Ensemble programme for early intervention in informal caregivers of psychiatric adult patients: a protocol for a randomised controlled trial by Daniel Wenger, Shyhrete Rexhaj, Shadya Monteiro, Philippe Golay, Claire Coloni-Terrapon, Jérôme Favrod

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A Hybrid Deep Learning-Based Network for Photovoltaic Power Forecasting by Altaf Hussain, Zulfiqar Ahmad Khan, Tanveer Hussain, Fath U Min Ullah, Seungmin Rho, Sung Wook Baik

“…Thus, a reliable, optimized, and a robust forecasting method deployed at MG objectifies these challenges by providing accurate renewable energy production forecasting and establishing a precise power generation and consumption matching at MG. …”
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New Mellin-Based Estimation and GoF Criteria for the Beta-Weibull Model by J.M. Vasconcelos, R. J. Cintra, A. D. C. Nascimento

“…In general, although their asymptotic properties are well-defined, MLEs do not always assume closed-form and require the use of interactive optimization sources. In this paper, we propose a new estimation method based on log-cumulant (LC) expressions for the beta-Weibull (BW) distribution, an important beta-G model. …”
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Noise characteristics of semiconductor lasers with narrow linewidth by Hua Wang, Yuxin Lei, Qiang Cui, Siqi Li, Xin Song, Yongyi Chen, Lei Liang, Peng Jia, Cheng Qiu, Yue Song, Yubing Wang, Yiran Hu, Li Qin, Lijun Wang

“…This paper presents noise measurement methods, analyses of the mechanisms for noise suppression, and recent research progress in low-noise semiconductor lasers, focusing on material optimization, structural design, and feedback control. …”
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Multi-hop clustering routing algorithm based on fuzzy inference and multi-path tree by Yanshan Tian, Qingguo Zhou, Fangqin Zhang, Jinjuan Li

“…In this article, we propose a multi-hop clustering routing method with fuzzy inference and multi-path tree. The algorithm identifies the best path from the source node to the destination node by following two steps: (1) dividing the wireless sensor nodes by an efficient clustering routing method and (2) determining the optimal path by a combination of the fuzzy inference approach and multi-path method, taking into account the remaining energy, the minimum hops, and the traffic load of node. …”
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Drying Characteristics of Chicken Manure Under a Variable Temperature Process by Xuanyang Li, Xiangtao Kang, Lei Xi, Qi Dou, Zhifang Shi, Tongshuai Liu, Limin Wang

“…In recent years, employing an auxiliary heat source, combined with residual heat from chicken house ventilation, to dry chicken manure has emerged as a novel manure treatment method. …”
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SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence by Umaa Mahesswari G, Uma Maheswari P

“…Moreover, to identify essential features for PCOS prediction three feature selection methods: Threshold-driven Optimized Principal Component Analysis (TOPCA), Optimized Salp Swarm (OSSM), and Threshold-driven Optimized Mutual Information Method (TOMIM) were fine-tuned through thresholding and improvisation to detect diverse attribute sets with varying numbers and combinations. …”
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Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation by Malhar Khan, Muhammad Amir Raza, Muhammad Faheem, Shahjahan Alias Sarang, Madeeha Panhwar, Touqeer Ahmed Jumani

“…Compared to available research, which often reports lower accuracies for conventional techniques, our study highlights the enhanced performance of AI‐based methods. This study provides a comprehensive comparative analysis, delivering critical analysis and practical guidance for engineers and researchers in selecting the most effective MPPT controller optimized to specific environmental conditions. …”
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