A comprehensive review of bibliometric and methodological approaches in flood mitigation studies: Current trends and future directions by Funmilayo Ebun Rotimi, Roohollah Kalatehjari, Taofeeq Durojaye Moshood, George Dokyi

“…As land and infrastructure development rapidly evolve, it is crucial to systematically analyze the bibliometric patterns and methodological trends in flood mitigation research, with a specific focus on residential building flood mitigation. …”
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Research on Coordinated Control of Dynamic Reactive Power Sources of DC Blocking and Commutation Failure Transient Overvoltage in New Energy Transmission by Shuqin Sun, Zhenghai Yuan, Dezhi Chen, Zaihua Li, Xiaojun Tang, Yunting Song, Guanghao Zhou

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Hydrological Object‐Based Flow Direction Model for Constructing a Lake‐Stream Topological System by Fei Zhao, Liyang Xiong, Chuzhi Zhang, Hong Wei, Kai Liu, Guoan Tang

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The LETBP feature descriptor based fish species classification using Kepler optimization with Extreme Learning Machine by Annalakshmi GANESAN, Sakthivel Murugan SANTHANAM

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Dynamic programming for re-mapping noisy fixations in translation tasks by Michael Carl

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Drug-induced second tumors: a disproportionality analysis of the FAERS database by Shupeng Chen, Yuzhe Zhang, Xiaojian Li, Nana Tang, Yingjian Zeng

“…By uncovering previously unrecognized potential risks, this research lays the groundwork for further advancements in pharmacovigilance.…”
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Land Management Dynamics in Social Forestry Permit Using LandTrendr Algorithm: A Case Study in Tuar Tana Community Forest, East Nusa Tenggara Province, Indonesia by Heru Budi Santoso, Wahyu Wardhana, Ronggo Sadono

“…In line with the research findings, LandTrendr can be a highly relevant tool for evaluating the impact of social forestry policies on vegetation cover in a quantitative and evidence-based manner. …”
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Rapid Discrimination for Traditional Complex Herbal Medicines from Different Parts, Collection Time, and Origins Using High-Performance Liquid Chromatography and Near-Infrared Spec... by Haiyan Fu, Yao Fan, Xu Zhang, Hanyue Lan, Tianming Yang, Mei Shao, Sihan Li

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Enhanced Automatic Generation Control in Multiarea Power Systems: Crow Search Optimized Cascade FOPI‐TIDDN Controller With Integrated Renewable Solar Thermal Models and HVDC Lines... by Naladi Ram Babu, Pamarthi Sunitha, Ganesh Pardhu B. S. S., Sanjeev Kumar Bhagat, Adireddy Ramesh, Arindita Saha, Wulfran Fendzi Mbasso, Pradeep Jangir, Ahmed Hossam‐Eldin

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Differential diagnosis in joint and spine damages by N. V. Chichasova

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The role of smart electricity meter data analysis in driving sustainable development by Archana Y. Chaudhari, Preeti Mulay, Shradha Chavan

“…The CGMIC algorithm first extracts load patterns from new data and then either intergrades the existing load patterns or forms new ones. …”
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Image Clustering based on Artificial Intelligence Techniques by Baydaa Khaleel

“…Finally we make comparisons between results obtained after applying these algorithms on this images data set.TheFRBF is better than the other three methods that applied in this research such as G-G, ABC, RBF, because the FRBF was obtained higher classification rate in testing state equal (96.8571) and low false alarm equal(3.1429).…”
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Understanding Clinician Knowledge About Race Adjustment in the Vaginal Birth After Cesarean Calculator by Julia Cron, Amelia A. Shapiro, Laura Carasimu, Julia Iyasere, Johanna M. Schisler, Szilvia Nagy, Sandra Angus, Anna Burgansky, Ashlesha K. Dayal, Tracy Bohn Hemmerdinger, Denise Howard, Corrina Oxford-Horrey, Donald C. Phillibert, Jean-Ju Sheen, Dena Goffman

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Development and validation of an interpretable multi-task model to predict outcomes in patients with rhabdomyolysis: a multicenter retrospective cohort studyResearch in context by Chunli Liu, Jie Shi, Fengjuan Wang, Duo Li, Yu Luo, Bofan Yang, Yunlong Zhao, Li Zhang, Dingwei Yang, Heng Jin, Jie Song, Xiaoqin Guo, Haojun Fan, Qi Lv

“…Funding: National Key Research and Development Program of China (Nos. 2021YFC3002202 and 2023YFF1204104).…”
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Circadian rhythm disruption by PARP inhibitors correlates with treatment toxicity in patients with ovarian cancer and is a predictor of side effectsResearch in context by Deeksha Malhan, Janina Hesse, Nina Nelson, Kay Stankov, Jessica Nguyen, Ouda Aboumanify, Josefin Garmshausen, Gunther Rogmans, Bastian Czogalla, Jens Gerber, Martin Koch, Tomáš Kupec, Oliver Tomé, Ralf Witteler, Mustafa Deryal, Michael Eichbaum, Jalid Sehouli, Elena Ioana Braicu, Angela Relógio

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Screening of Reference Genes for Quantitative Real-time PCR in Curcuma alismatifolia Bracts by Jianjun TAN, Lishan HUANG, Yiwei ZHOU, Yechun XU, Yuanjun YE

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The use of artificial intelligence to analyze and optimize financial flows by М. А. Miakisheva

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CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals by Ugur Ince, Yunus Talu, Aleyna Duz, Suat Tas, Dahiru Tanko, Irem Tasci, Sengul Dogan, Abdul Hafeez Baig, Emrah Aydemir, Turker Tuncer

“…<b>Background\Objectives:</b> Solving the secrets of the brain is a significant challenge for researchers. This work aims to contribute to this area by presenting a new explainable feature engineering (XFE) architecture designed to obtain explainable results related to stress and mental performance using electroencephalography (EEG) signals. …”
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Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated... by J.M. Zikri, M.S.M. Sani, M.F.F.A. Rashid, J. Muriban, G.S. Prayogo

“…This research examines the predictive performance of two modeling techniques—Response Surface Methodology (RSM) and an Artificial Neural Network enhanced by a Genetic Algorithm (ANN-GA)—in relation to noise emission levels from a single-cylinder diesel engine running on palm oil methyl ester (POME). …”
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Smart wearable sensor-based model for monitoring medication adherence using sheep flock optimization algorithm-attention-based bidirectional long short-term memory (SFOA-Bi-LSTM) by Yasser Alatawi, Palanisamy Amirthalingam, Narmatha Chellamani, Manimurugan Shanmuganathan, Mostafa A. Sayed Ali, Saleh Fahad Alqifari, Vasudevan Mani, Muralikrishnan Dhanasekaran, Abdulelah Saeed Alqahtani, Ahmed Aljabri

“…The primary objective of this research is to implement sensor devices/smart wearables powered by advanced deep learning (DL) techniques to evaluate complex data patterns effectively and make accurate predictions. …”
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