Gray matter abnormalities and memory impairment in left mesial temporal lobe epilepsy by Agnieszka Olejnik, Aleksandra Bala, Weronika Rejner, Antonina Gottman-Narożna, Andrzej Rysz, Maja Kopytek-Beuzen, Patrycja Naumczyk, Przemysław Kunert

“…Most previous studies have focused on assessing declarative memory directly related to hippocampal functions, but emerging data suggest a decline in the efficiency of other types of memory as well. The aim of this study was to comprehensively assess various types of memory and analyze the relationship between memory performance and the volume of selected gray matter structures.MethodsIn total, 21 patients with left-MTLE and 28 age- and education-matched healthy individuals underwent neuropsychological assessment using the Wechsler Memory Scale IV (WMS-IV) to evaluate memory functioning. …”
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Moving Land Models Toward More Actionable Science: A Novel Application of the Community Terrestrial Systems Model Across Alaska and the Yukon River Basin by Yifan Cheng, Keith N. Musselman, Sean Swenson, David Lawrence, Joseph Hamman, Katherine Dagon, Daniel Kennedy, Andrew J. Newman

“…Across fifteen out‐of‐sample river basins, 13 had improved flow simulations after optimization and the mean Kling‐Gupta Efficiency of daily flow increased from 0.43 to 0.63 in a 30‐year evaluation. …”
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Rock Fracture Monitoring Based on High-Precision Microseismic Event Location Using 3D Multiscale Waveform Inversion by Yi Wang, Xueyi Shang, Kang Peng, Rui Gao

“…Based on this initial location, the multiscale waveform inversion strategy (from coarse to fine grids) and the L-BFGS iteration optimization algorithm were separately jointly selected to improve wavefield modeling speed efficiency and iterative convergence rate. …”
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Construction and Application of Carbon Emissions Estimation Model for China Based on Gradient Boosting Algorithm by Dongjie Guan, Yitong Shi, Lilei Zhou, Xusen Zhu, Demei Zhao, Guochuan Peng, Xiujuan He

“…However, most current studies are limited to national or provincial scales, employing traditional statistical methods inadequate for capturing complex nonlinear interactions and spatiotemporal dynamics at finer resolutions. …”
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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

“…Device-level innovations—such as microheater integration, self-heated nanowires, and multi-sensor arrays—have further improved response speed and energy efficiency. Moreover, the incorporation of artificial intelligence (AI) and Internet of Things (IoT) technologies has significantly advanced signal processing, pattern recognition, and long-term operational stability. …”
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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 additional use of boron had no significant effect on the efficiency of the combined use of the strain №142 and molybdenum. …”
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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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Treatment Trade‐Offs and Choices for Femoral Fractures: A Systematic Review and Meta‐Analysis by Jiarui Li, Zhu Guo, Tianrui Wang, Kunyue Xing, Wenzhuo Wang, Yaowei Liu, Jiyao Xing, Hongfei Xiang, Jingdong Wang, Bohua Chen, Dongming Xing, Xiaolin Wu

“…ABSTRACT In resource‐limited settings, selecting the appropriate treatment for femoral fractures is crucial as it affects both patient recovery and the efficient use of medical resources. …”
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High-Throughput Indirect Monitoring of TORC1 Activation Using the pTOMAN-G Plasmid in Yeast by Melissa Gómez, Guilherme Rocha, Diego Ruiz, Claudio Martínez, Francisco Salinas, Eduardo Kessi-Pérez

“…The target of rapamycin complex 1 (TORC1) is a highly conserved protein complex whose primary function is to link nutrient availability to cell growth in eukaryotes, particularly nitrogen sources. …”
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Optimization of Speed Limit Method for Freeways Considering AVs Under Rainy Weather by Le Yu, Qin Luo, Jianying He

“…The intelligent driver model (IDM) was selected as the basis for this study due to its complexity and applicability. …”
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Flunarizine as a potential repurposed drug for the serotonin transporter inhibition: an integrated approach for therapeutic development against major depressive disorder by Abdelbaset Mohamed Elasbali, Abdelbaset Mohamed Elasbali, Ahmed S. Ali, Ahmed S. Ali, Taj Mohammad, Mohd Adnan, Mohd Adnan, Anas Shamsi, Md. Imtaiyaz Hassan

“…Drug repurposing provides an efficient solution to speed up antidepressant research because it identifies existing FDA-approved medications that might inhibit the serotonin transporter. …”
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Lightweight Apple Leaf Disease Detection Algorithm Based on Improved YOLOv8 by LUO Youlu, PAN Yonghao, XIA Shunxing, TAO Youzhi

“…To reduce the incidence of apple diseases and increase fruit yield, developing efficient and fast apple leaf disease detection technology is of great significance. …”
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Maize and soybean yield prediction using machine learning methods: a systematic literature review by Ramandeep Kumar Sharma, Jasleen Kaur, Gary Feng, Yanbo Huang, Chandan Kumar, Yi Wang, Sandhir Sharma, Johnie Jenkins, Jagmandeep Dhillon

“…Abstract Today’s agronomy is data-rich, and machine learning (ML) provides the ability to efficiently predict crop yields, utilizing high-volume data to optimize agricultural decision-making. …”
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Innovative dual-gene delivery platform using miR-124 and PD-1 via umbilical cord mesenchymal stem cells and exosome for glioblastoma therapy by Po-Fu Yueh, I-Tsang Chiang, Yueh-Shan Weng, Yu-Chang Liu, Raymond C. B. Wong, Cheng-Yu Chen, Justin Bo-Kai Hsu, Long-Bin Jeng, Woei-Cherng Shyu, Fei-Ting Hsu

“…Experimental results demonstrate that the UMSC/miR-124-PD-1 complex and its exosomes successfully induce apoptosis in GBM cells, significantly inhibiting tumor growth. …”
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Panoramic spatial enhanced resolution proteomics (PSERP) reveals tumor architecture and heterogeneity in gliomas by Ziyan Xu, Yunzhi Wang, Tao Xie, Rongkui Luo, Heng-Li Ni, Hang Xiang, Shaoshuai Tang, Subei Tan, Rundong Fang, Peng Ran, Qiao Zhang, Xiaomeng Xu, Sha Tian, Fuchu He, Wenjun Yang, Chen Ding

“…Abstract The spatial proteomic profiling of complex tissues is essential for investigating cellular function in physiological and pathological states. …”
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Rhizobacteria from vineyard and commercial arbuscular mycorrhizal fungi induce synergistic microbiome shifts within grapevine root systems by Romain Darriaut, Vincent Lailheugue, Jules Wastin, Joseph Tran, Guilherme Martins, Patricia Ballestra, Isabelle Masneuf-Pomarède, Nathalie Ollat, Virginie Lauvergeat

“…Two hundred bacteria were isolated from vineyards and characterized for their biochemical PGP activities. The most efficient were tested in vitro, both singly and in combination, on Lepidium sativum and grapevine plantlets. …”
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Robust and Adaptive Tuning of PI Current Controllers for Grid-Forming Inverters by Florian Reisner, George Weiss

“…While very efficient in strong grids, such control architectures face stability problems if the grid short-circuit ratio becomes low. …”
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THE PLACE OF PROFESSIONAL EDUCATION SYSTEM IN FORMATION OF GRADUATES’ COMPETITIVENESS by G. F. Shafranov-Kutsev, G. Z. Efimova

“…The representatives of this category of respondents consider their professional choice as the right and final, characterising themselves as executive, efficient and prospective employees.Practical significance. …”
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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach by Ayokunle A. Akinlabi, Folasade M. Dahunsi, Jide J. Popoola, Lawrence B. Okegbemi

“…This Artificial Intelligence (AI) powered system promotes a more transparent and efficient MBB experience for all stakeholders in Nigeria's fast evolving digital landscape.…”
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