Recent Advances in Resistive Gas Sensors: Fundamentals, Material and Device Design, and Intelligent Applications by Peiqingfeng Wang, Shusheng Xu, Xuerong Shi, Jiaqing Zhu, Haichao Xiong, Huimin Wen

“…In terms of materials, metal oxide semiconductors, conductive polymers, carbon-based nanomaterials, and their composites have demonstrated enhanced sensitivity and selectivity through strategies such as doping, surface functionalization, and heterojunction engineering, while also enabling reduced operating temperatures. …”
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Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

“…By leveraging the integral ability of DL methods to learn complex representations, this technique enhances the accuracy and efficiency of detecting diverse and growing cyber-attacks. …”
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The effect of inoculation (plating) together with the use of boron and molybdenum micro fertilizers on productivity of common vetch seeds by V. N. Zolotarev

“…The complex application of the strain №142 with molybdenum increases number of beans on 13% and bacterial number on 10%. …”
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Behçet's syndrome patients' perception of the health system's accountability to care needs: A content analysis study by Neda Sayadi, Simin Jahani, Elham Rajaei

“…Background: Behçet's syndrome (BS) is a chronic, multisystem inflammatory disorder characterized by diverse and complex clinical manifestations, resulting in varied patient care requirements. …”
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A dual-domain perception gate-controlled adaptive fusion algorithm for road crack detection by Ziyang Zhang, Yong’an Feng

“…To enhance focus on critical features, a dual-domain dynamic perception information distillation mechanism is constructed, which distills redundant features separately across channel and spatial domains, effectively reducing architectural processing redundancy while achieving discriminative characteristic representation efficiency. In order to address the challenge of coarse-grained fusion in multi-stage feature integration, a feature information gating-adaptive fusion module (FGAF-Fusion) is proposed, which facilitates interactive channel-spatial information fusion through mixed local channel attention while employing gated adaptive fusion operations to selectively retain critical semantic information of small-scale targets. …”
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Unlocking microbiota potential: the role of organic copper in enhancing healthy white shrimp (Penaeus vannamei) farming by Jinzhu Yang, Xiaoyang Yao, Zhonghao Zhang, Gang Lin, Mingzhu Li, Kangsen Mai, Yanjiao Zhang

“…The apparent digestibility coefficients of copper and zinc, along with carbon and nitrogen assimilation, were determined. …”
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Remaining Available Energy Prediction for Energy Storage Batteries Based on Interpretable Generalized Additive Neural Network by Ji Qi, Pengrui Li, Yifan Dong, Zhicheng Fu, Zhanguo Wang, Yong Yi, Jie Tian

“…Precise estimation of the remaining available energy in batteries is not only key to improving energy management efficiency, but also serves as a critical safeguard for ensuring the safe operation of battery systems. …”
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Computational design of diverse nuclear factor erythroid 2 activators with cellular antioxidative activity by Mingyue Yuwen, Xiaoning Gao, Junli Ba, Jiayang Wu, Jun Kang, Sheng Ye, Cheng Zhu

“…Current synthetic antioxidants struggle to activate this pathway efficiently or selectively. In this study, we employed deep learning algorithms to design miniproteins capable of activating NRF2. …”
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Relationship between Snow and Temperature over Some Iraqi Meteorological Stations by Zainab M. Abbood, Yasmin Q. Tawfeek, Salwa S. Naif, Osama T. Al-Taai, Ahmed S. Hassan, Monim H. Al-Jiboori, Zeinab Salah

“…Notably, Duhok City exhibited the strongest relationship between snow albedo and density, with a regression coefficient of 0.9699 compared to other regions. Conclusions: This study highlights the complex relationship between snow albedo and density in northern Iraq. …”
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Comparison of the Regression Method and The Neural Network Method in Specific Cases of Engineering Practice by Križan Peter, Svátek Michal, Matúš Miloš, Hanko Lukáš

“…The aim of the analysis was to create models for both selected statistical methods that would sufficiently describe the given process and subsequently compare them. …”
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Dynamic Characteristics Analysis of the DI-SO Cylindrical Spur Gear System Based on Meshing Conditions by Yong Zhu, Shida Zhang, Shengnan Tang, Zhengxi Chang, Renyong Lin, Lingbo Zhang

“…In practical operation, the stability of the DI-SO cylindrical spur gear system is influenced by complex excitations. These excitations lead to nonlinear vibration, meshing instability, and noise, which affect the performance and reliability of the entire equipment. …”
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Development and Evaluation of Machine Learning Models for Air-to-Land Temperature Conversion Using the Newly Established Kunlun Mountain Gradient Observation System by Yongkang Li, Qing He, Yongqiang Liu, Amina Maituerdi, Yang Yan, Jiao Tan

“…The results demonstrated that the CatBoost algorithm outperformed the others under complex terrain and climatic conditions, achieving a coefficient of determination (R²) of 0.997 and the lowest root mean square error (RMSE) of 0.627 °C, indicating superior robustness and accuracy. …”
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4D Assembly of Time‐dependent Lanthanide Supramolecular Multicolor Phosphorescence for Encryption and Visual Sensing by Yun‐Ga Wu, Wei‐Lei Zhou, Yugui Qiu, Siwei Wang, Jinglin Liu, Yong Chen, Xiufang Xu, Yu Liu

“…Furthermore, the 4D assembly of DPA and G/LP/Eu leads to a time‐resolved multicolor emission from colorless to purple to white, which is successfully applied to information multi‐level logic anti‐counterfeiting and efficiently antibiotic selective sensor.…”
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Research on rock fracture evolution prediction model based on Adam-ConvLSTM and transfer learning by Runze Liu, Ziwei Wang, Yanbo Zhang, Xulong Yao, Shaohong Yan, Zhiyuan Chen, Shuai Wang, Hua Li, Qi Wang

“…Abstract The propagation of rock fractures is essential for maintaining engineering safety, yet traditional theoretical methods are burdened by challenges such as complex sample collection and lengthy prediction processes. …”
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Determination of malachite green in sediment by ultra performance liquid chromatography-mass spectrometry by Mei Guangming, Guo Yuanming, Zhang Xiaojun, Yan Zhongyong, Li Peipei, You Juju, Ding Yueping

“…The current researches mainly focus on the determination of MG in aquatic products, rarely in sediment. Due to the matrix complex of sediment, sample pretreatment technology is the key technology. …”
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Techno-Economic Optimization and Assessment of Solar Photovoltaic–Battery–Hydrogen Energy Systems with Solar Tracking for Powering ICT Facility by Olubayo Babatunde, Oluwaseye Adedoja, Oluwaseun Oyebode, Uthman Abiola Kareem, Damilola Babatunde, Toyosi Adedoja, Busola Akintayo, Michael Emezirinwune, Desmond Eseoghene Ighravwe, Olufemi Ogunniran, Olanrewaju Oludolapo

“…This paper addresses the critical issue of selecting the optimal solar tracking configuration for maximum energy generation, given the increasing demand for sustainable energy solutions in information and communication technology (ICT) facilities. …”
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Clinical and cost-effectiveness of detailed anomaly ultrasound screening in the first trimester: a mixed-methods study by Jehan N Karim, Helen Campbell, Pranav Pandya, Edward C F Wilson, Zarko Alfirevic, Trish Chudleigh, Elizabeth Duff, Jane Fisher, Hilary Goodman, Lisa Hinton, Christos Ioannou, Edmund Juszczak, Louise Linsell, Heather L Longworth, Kypros H Nicolaides, Anne Rhodes, Gordon Smith, Basky Thilaganathan, Jim Thornton, Gillian Yaz, Oliver Rivero-Arias, Aris T Papageorghiou

“…Fewer live births of babies with anomalies are predicted and this raises complex and ethically sensitive issues previously documented by analysts evaluating antenatal screening programmes for fetal anomalies. …”
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Parameter optimization for low-temperature catalytic pyrolysis in oil-based drilling cuttings treatment by HUANG Yaoqi, XIA Yufeng

“…Among various methods such as centrifugal separation, solvent extraction, surfactant hot washing, pyrolysis, etc., the thermal treatment method that removes volatile and semi-volatile pollutants (such as hydrocarbons) by pyrolysis is widely favored due to its short processing time and high removal efficiency. However, conventional pyrolysis methods operate at high temperatures, consume significant energy, and exhibit high material selectivity, which makes them prone to coking and ultimately results in low treatment efficiency. …”
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Preparation of Phosphorus-Doped Boron Nitride Aerogel and Its Heavy Metal Ion Adsorption Properties by Junzhong ZHANG, Zheng LIU, Bo LIU, Yanlong LI

“…Competitive adsorption tests in mixed solutions highlighted the selectivity of P-BNaerogel for Cu2+, with a selectivity coefficient α(Cu/Pb) of 2.17, which was attributed to d-orbital electron interactions between Cu2+ and P—O groups. …”
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Enhancing sand screen performance with integrated slurry testing and CFD-DEM modelling by Noorhaslin Che Su, Sofyah Anis Izwani Jusof, Aimi Zahraa Zainal, Yeong Yuan Jian, Chan Kai Xian, Afiq Mohd Laziz, Muhmmad Fadhli Muhammad, Javed Akhbar Khan, Abdul Hazim Abdullah, Mohd Azuwan Maoinser

“…These findings underscore the potential of CFD-DEM simulations in accurately replicating complex sand control processes and optimizing screen performance for enhanced wellbore stability and production efficiency.…”
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