Thermal Noise‐Induced Phase Transition in Multi‐Domain Hf‐Based Antiferroelectric Material: Fatigue and Endurance Performance by Sheng Luo, Zijie Zheng, Zuopu Zhou, Xiao Gong, Gengchiau Liang

“…Both temperature and dipole coupling strength are found to be the key factors in noise‐induced fatigue. Furthermore, the thermal noise‐induced stochastic dynamics is found to have a profound impact in the AFE‐based memory's reliability, and the memory window demonstrates direct dependency on temperature and domain dynamics.…”
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Harnessing microorganisms for bioenergy with microbial fuel cells: Powering the future by Ravindra Singh Pandya, Tanveen Kaur, Riya Bhattacharya, Debajyoti Bose, Devansh Saraf

“…This comprehensive review delves into the foundational principles governing MFCs, exploring mechanisms facilitating electron transfer and bioenergy generation while addressing factors influencing MFC performance. It further analyzes MFCs' multifaceted applications, from wastewater treatment to bioenergy recovery, and investigates their synergistic integration with other renewable energy systems. …”
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Two-Stage Clustering Approach for the Household Electricity Load Profiles by Fuzzy Logic and Neural Network Techniques by Yavuz Eren, Uğur Buğra Etlik

“…LP clustering analysis has been utilized as predicted end-user LPs for demand or supply management strategies to maintain the stability of the power systems. The consumption dynamics of the LPs are formed by the combinations of technical and social factors. …”
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Molecular Docking and Pharmacological In Silico Evaluation of Camptothecin and Related Ligands as Promising HER2-Targeted Therapies for Breast Cancer by Elmer Joel Millan-Casarrubias, Yunia Verónica García-Tejeda, Claudia Haydée González-De la Rosa, Lucero Ruiz-Mazón, Yazmín Mariela Hernández-Rodríguez, Oscar Eduardo Cigarroa-Mayorga

“…This study evaluates the interaction between camptothecin, a potent anticancer agent, and two key receptors implicated in breast cancer progression: HER2 (human epidermal growth factor receptor 2) and EGFR (epidermal growth factor receptor), using molecular docking. …”
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Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning by Pablo Corona-Fraga, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba

“…The QA framework allows developers to query vulnerabilities and receive precise, actionable insights, enhancing its applicability in dynamic environments that require frequent updates and real-time analysis. …”
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Cadmium Bioavailability Based on Diffusive Gradients in Thin Films Technique and Conventional Chemical Extraction in High Geological Background Soil Area of Northwestern Zhejiang P... by Chao WU, Binbin SUN, Xiaomeng CHENG, Dong LIU, Yu QIAO, Ling He, Daoming ZENG

“…Research shows that the bioavailability of Cd in soil is the key factor to determine its bioavailability and biotoxicity, so it is of great theoretical and practical significance to find an effective method to evaluate the bioavailability of Cd in soil for the safe use and risk control of contaminated agricultural land. …”
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Water Conservation Function of Artificial Forests in Kubuqi Desert by Han Qingchi, Wang Haichao, Sun Kai, Pei Zhiyong, Wang Han, Su Xiaoming, Yang Jianjun, Chen Hongwei

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Exploring deep learning for landslide mapping: A comprehensive review by Zhi-qiang Yang, Wen-wen Qi, Chong Xu, Xiao-yi Shao

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Network modeling identifies molecular functions targeted by miR-204 to suppress head and neck tumor metastasis. by Younghee Lee, Xinan Yang, Yong Huang, Hanli Fan, Qingbei Zhang, Youngfei Wu, Jianrong Li, Rifat Hasina, Chao Cheng, Mark W Lingen, Mark B Gerstein, Ralph R Weichselbaum, H Rosie Xing, Yves A Lussier

“…In this report, we demonstrate for the first time how phenotypic knowledge of inheritable cancer traits and of risk factor loci can be utilized jointly with gene expression analysis to efficiently prioritize deregulated microRNAs for biological characterization. …”
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Fast-Switching SVR Weight Coefficient Design for the MPTC of Double Three-Phase PMSM by Huanzhen Zhang, Shaosheng Fan, Gongping Wu

“…The experimental results show that MPTC based on a fast-switching table achieves good steady-state and dynamic control performance by using weighting factors.…”
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Topochemical synthesis of chiroptical materials through charge-transfer/Diels–Alder cascade reaction by Zhuoer Wang, Yan Pei, Aiyou Hao, Pengyao Xing

“…Thermal treatment triggers the Diels-Alder reaction readily in the solution and self-assembly states, lighting up the supramolecular helical systems with absolute quantum yields up to 57%. The in situ dynamic transformation realized facile thermal-triggered display and information storage, and endowed the helical nanostructures with circularly polarized luminescence with dissymmetry factors at 10−2 grade. …”
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Technology and material-oriented strategies can reduce lead industry carbon emissions in China by Guangli Zhou, Yifan Gu, Yufeng Wu, Yanmei Li

“…A successful decarbonization pathway requires integrating material-oriented and technology-oriented factors synergistically. In this study, a comprehensive dynamic model was developed to encompass emissions of greenhouse gases throughout various processes and levels of lead redundancy across different scenarios. …”
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Overcoming the challenges of data integration in ecosystem studies with machine learning workflows: an example from the Santos project by Gustavo Fonseca, Danilo Candido Vieira

“…These challenges encompass defining a conceptual model outlining cause-and-effect relationships, addressing dissimilarities in data source quantity and information content, grappling with missing or noisy data, fine-tuning model optimization, achieving accurate predictions, and tackling the issue of imbalanced observations across factors. In the context of the Santos project, dedicated to comprehending the spatio-temporal dynamics of benthic, pelagic, and physical systems for the facilitation of conservation and monitoring programs, the application of machine learning's random forest (RF) technique for modeling univariate data offers notable advantages. …”
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Overcoming the challenges of data integration in ecosystem studies with machine learning workflows: an example from the Santos project by Gustavo Fonseca, Danilo Candido Vieira

“…These challenges encompass defining a conceptual model outlining cause-and-effect relationships, addressing dissimilarities in data source quantity and information content, grappling with missing or noisy data, fine-tuning model optimization, achieving accurate predictions, and tackling the issue of imbalanced observations across factors. In the context of the Santos project, dedicated to comprehending the spatio-temporal dynamics of benthic, pelagic, and physical systems for the facilitation of conservation and monitoring programs, the application of machine learning's random forest (RF) technique for modeling univariate data offers notable advantages. …”
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Individual-Based Model of Microbial Life on Hydrated Rough Soil Surfaces. by Minsu Kim, Dani Or

“…Microbial life in soil is perceived as one of the most interesting ecological systems, with microbial communities exhibiting remarkable adaptability to vast dynamic environmental conditions. At the same time, it is a notoriously challenging system to understand due to its complexity including physical, chemical, and biological factors in synchrony. …”
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High-Temperature Methane Sensors Based on ZnGa₂O₄:Er Ceramics for Combustion Monitoring by Aleksei V. Almaev, Zhakyp T. Karipbayev, Askhat B. Kakimov, Nikita N. Yakovlev, Olzhas I. Kukenov, Alexandr O. Korchemagin, Gulzhanat A. Akmetova-Abdik, Kuat K. Kumarbekov, Amangeldy M. Zhunusbekov, Leonid A. Mochalov, Ekaterina A. Slapovskaya, Petr M. Korusenko, Aleksandra V. Koroleva, Evgeniy V. Zhizhin, Anatoli I. Popov

“…The samples showed strong responses to C₂H₄, C₃H₈, C₄H₁₀, NO_2, and H₂, which, at gas concentrations of 100 ppm, were higher than the response to CH₄ by a factor of 2.41, 2.75, 3.09, 1.16, and 1.64, respectively. …”
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Investigating causal relationships between entrepreneurial education and sustainable employment generation in Islamic Azad Universities in Tehran by Sana Abdulali, Mohammad Naghi Imani GelepordesariI, Asghar Sharifi

“…The current research is applicable in terms of purpose, and descriptive-survey in terms of nature and method. …”
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Integrative analysis of transboundary land use conflicts in the Aral Sea Basin: A multi-scale assessment of drivers and strategies for sustainable management by Kaiyue Luo, Alim Samat, Peijun Du, Sicong Liu, Jiaxi Liang, Jilili Abuduwaili, Dana Shokparova, Mukhiddin Juliev

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Riverbed Surface Settlement Patterns Induced by Pipe Jacking Construction in River-Crossing Sections by SHENG Song-tao, AN Zi-yue, ZHOU Hong-yun, LIU Jie

“…In addition, Peck’s empirical formula was introduced to predict settlement, and the results were compared with the numerical simulation to verify the reliability of the model. Finally, the single-factor analysis method was used to systematically study the influence patterns of pipe diameter, grouting pressure, and soil elastic modulus on riverbed surface displacement. …”
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The role of gut microbiota in autoimmune disease progression and therapy: a comprehensive synthesis by Mohammad Adawi

“…The review identifies critical microbiota-driven factors, including antigenic mimicry and inflammatory signaling pathways that disrupt immune tolerance and exacerbate autoimmunity. …”
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