Algorithms for Integrated Object Detection in Wireless Sensor Networks by V. I. Parfenov, T. T. Bui

“…This algorithm will contribute to improving the efficiency of decision making, extending the detection area and increasing the operation duration of the power sources of sensors.Aim. Synthesis and analysis of an integrated algorithm for object detection in wireless sensor networks with a linear topology.Materials and methods. …”
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A Comprehensive Survey of Electric Vehicle Charging Demand Forecasting Techniques by Mamunur Rashid, Tarek Elfouly, Nan Chen

“…Additionally, existing studies often overlook several critical areas such as overcoming data scarcity, security and privacy concerns, managing the inherent stochasticity of demand data, selecting forecasting methods for a specific feature, and developing standardized performance metrics. …”
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Presenting the detection algorithm of all types of vessels in the Persian Gulf region using radar images in order to improve the security of navigation by Ali Hanafi, Mehdi Keykhaee

“…New techniques that integrate data from different sources are being developed. In this research, an attempt has been made to optimize the combination of kernels (MKL) by using deep neural network for the first time and finally identify the ship in the Persian Gulf. …”
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Crohn’s disease in childhood: modern approaches to treatment (a literature review) by O. M. Horbatiuk, N. P. Soleiko, V. V. Soleiko

“…To provide world experience and features of Crohn’s disease (CD) treatment in children by reviewing and analyzing modern scientific literary sources, given the need to develop a unified therapeutic strategy for CD in childhood. …”
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A New Way to Identify Mastitis in Cows Using Artificial Intelligence by Rodes Angelo Batista da Silva, Héliton Pandorfi, Filipe Rolim Cordeiro, Rodrigo Gabriel Ferreira Soares, Victor Wanderley Costa de Medeiros, Gledson Luiz Pontes de Almeida, José Antonio Delfino Barbosa Filho, Gabriel Thales Barboza Marinho, Marcos Vinícius da Silva

“…Mastitis is a disease that is considered an obstacle in dairy farming. Some methods of diagnosing mastitis have been used effectively over the years, but with an associated relative cost that reduces the producer’s profit. …”
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Beta-Glucans in Biotechnology: A Holistic Review with a Special Focus on Yeast by Nirmal Sarkar, Atharva Anand Mahajan, Sagarjyoti Pathak, Prakriti Seth, Ankita Chowdhury, Indrilla Ghose, Shrimanti Das, Rajanyaa Chowdhury, Aishi Bera, Anuvab Dey, Anushka Dutta, Ipsita Majumder, Subhrojyoti Ghosh, Ramya Lakshmi Rajendran, Prakash Gangadaran

“…</i> The impact of fermentation parameters on β-glucan yield and structural properties is analyzed, highlighting advancements in optimizing microbial production. Furthermore, we discuss methods for characterizing yeast β-glucans, including analytical and bioassay techniques, and compare their physicochemical properties with those of β-glucans from other sources. …”
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Investigation of Thermal Runaway in Prismatic Batteries with Dual-Parallel Jelly-Roll Architecture Under Thermal Abuse Conditions by Jinmei Li, Dong Li, Xin Li, Ting Sun, Qiang Li

“…To elucidate dual-parallel jelly-roll architecture TR characteristics of LIBs under varied operational conditions, this study integrates theoretical analysis with experimental methods, conducting thermal abuse tests under four distinct working conditions: open circuit, constant-current charging, constant-voltage charging, and discharging. …”
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Monitoring and analyzing land use changes for sustainable development in Teluk Bahang, Penang, Malaysia: a GIS-based approach by Muhammad Ryza Mohd Raffay, Milad Bagheri, Azizan Marzuki, Iraj Gholami, Muhammad Anas Khairul Anuar

“…Data from the Malaysian Development Planning Department (MBPP) and the Penang Geographical Information System Center (PeGIS), along with external sources, inform the analysis. Employing Geospatial Information System (GIS) techniques, the study analyzes land use data from 2010, 2014, and 2018 using overlay and matrix methods. …”
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Time-Series Autoregressive Models for Point and Interval Forecasting of Raw and Derived Commercial Near-Infrared Spectroscopy Measures: An Exploratory Cranial Trauma and Healthy Co... by Amanjyot Singh Sainbhi, Logan Froese, Kevin Y. Stein, Nuray Vakitbilir, Rakibul Hasan, Alwyn Gomez, Tobias Bergmann, Noah Silvaggio, Mansoor Hayat, Jaewoong Moon, Frederick A. Zeiler

“…Leveraging existing archived data sources, four point and interval-forecasting methods using autoregressive integrative moving average (ARIMA) models were evaluated to assess their ability to predict NIRS cerebral physiologic signals. …”
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Novel dihydroxybenzohydrazide grafted deoxycellulose for efficient removal of anionic food colorants and hexavalent chromium from wastewater by Magda A. Akl, Azza A. H. Fahim, El-Sayed R. H. El-Gharkawy

“…Abstract In this study, 2,4-dihydroxybenzaldehyde hydrazone (CELL@HBH) adsorbent was prepared from microcrystalline cellulose powder (CELL) through a simple and effective method. The investigated materials were characterized by Fourier Transform Infrared spectroscopy (FT-IR), Scanning electron microscopy (SEM), elemental analysis, Proton Nuclear Magnetic Resonance (1HNMR), Thermogravimetric analysis (TGA), X-ray diffraction (XRD), and Brunauer-Emmett-Teller (BET) surface area measurements. …”
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Assimilation of snow water equivalent from AMSR2 and IMS satellite data utilizing the local ensemble transform Kalman filter by J. Lee, M.-I. Lee, S. Tak, E. Seo, E. Seo, Y.-K. Lee

“…This approach constitutes an objective method that optimally combines two previously unattempted incomplete data sources: the satellite SWE retrieval from the Advanced Microwave Scanning Radiometer 2 (AMSR2) and dynamically balanced SWE from the JULES land surface model. …”
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Synthesis of multilayer azagraphene and carbon nitride oxide by M. E. Bondarenko, P. M. Silenko, N. I. Gubareni, O. Yu. Khyzhun, N. Yu. Ostapovskaya, Yu. M. Solonin

“…The oxygen-doped carbon nitride (O-g-C3N4) and water-soluble carbon nitride oxide (g-C3N4)O was simultaneously synthesized by the gas phase method under special reaction conditions of pyrolysis of cyanuric acid and urea mixture. …”
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Recent Advances and Future Prospects of Lithium Recovery from Low-Grade Lithium Resources: A Review by Jihan Gu, Binjun Liang, Xianping Luo, Xin Zhang, Weiquan Yuan, Bin Xiao, Xuekun Tang

“…Future research should focus on improving the selectivity and efficiency of extraction and processing technologies, optimizing separation processes, and developing green and cost-effective extraction methods. …”
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Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook by Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng

“…Abstract The application of machine learning (ML) techniques in the lithium battery field is relatively new and holds great potential for discovering new materials, optimizing electrochemical processes, and predicting battery life. …”
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Bridging the gap: clinical translation of adipose-derived stem cells - a scoping review of clinical trials by Hankun Su, Hoksan Chau, Qilin Li, Fen Xiao, Yuanyuan Sun, Jingjing Chen, Yayi He, Jinyao Ning, Qin Hu, Yujie Xiao, Caiwen Li, Bixia Huang, Jing Zhao, Yanping Li, Hui Li

“…Key gaps included protocol heterogeneity (e.g., isolation methods, cryopreservation variability), regulatory fragmentation, limited long-term follow-up, and inconsistent clinical outcomes, particularly in neurology. …”
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Digital technologies in education: the view of medical students by A. G. Zabolotniy, M. E. Mirgorodskaya, A. O. Moskalenko, A. I. Loseva

“…Researches in this area often focus on the views of teachers, which highlights the need for a more in-depth analysis of students' experiences and their perceptions of digital learning.The Materials and methods: review of literary sources; statistical analysis of the results of an online survey conducted from November 1 to 15, 2024 at the Kuban State Medical University.The Results. …”
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Machine Learning‐Enabled Drug‐Induced Toxicity Prediction by Changsen Bai, Lianlian Wu, Ruijiang Li, Yang Cao, Song He, Xiaochen Bo

“…Big data and artificial intelligence (AI), especially machine learning (ML), are robustly contributing to innovation and progress in toxicology research. However, the optimal AI model for different types of toxicity usually varies, making it essential to conduct comparative analyses of AI methods across toxicity domains. …”
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Not stealing from the treasure chest (or just a bit): Analyses on plant derived writing supports and non-invasive DNA sampling. by Anna Schulz, Silke Lautner, Jörg Fromm, Markus Fischer

“…Finally, we present a non-invasive DNA sampling method that utilizes nylon membranes, commonly used for bacterial DNA sampling and that is applicable to delicate material. …”
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The role of social capital as a mediator of the effectiveness of counseling on innovative behavior in increasing corn farmers' income in Bone Bolango Regency by Yanti Saleh, Yuriko Boekoesoe, Larasati Sukmadewi Wibowo, St. Aisyah R, Wawan K. Tolinggi, Mohammad Zubair Hippy

“…Methods: This research employed a quantitative approach. …”
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Neurophysiological Effects of Virtual Reality Multitask Training in Cardiac Surgery Patients: A Study with Standardized Low-Resolution Electromagnetic Tomography (sLORETA) by Irina Tarasova, Olga Trubnikova, Darya Kupriyanova, Irina Kukhareva, Anastasia Sosnina

“…<b>Methods:</b> A total of 100 male CABG patients (mean age, 62.7 ± 7.62 years) were allocated to the VMT group (<i>n</i> = 50) or to the control group (<i>n</i> = 50). …”
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