A survey of model compression techniques: past, present, and future by Defu Liu, Yixiao Zhu, Zhe Liu, Yi Liu, Changlin Han, Jinkai Tian, Ruihao Li, Wei Yi

“…To meet the urgent demand for efficient deployment, we delve into several compression methods—such as quantization, pruning, low-rank decomposition, and knowledge distillation—emphasizing their fundamental principles, recent advancements, and innovative strategies. …”
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Effective thermal conductivity and inner transfer surface of porous and fibrous materials on the example of foodstuffs by Yu. V. Svetlov, Yu. B. Nikiforov

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Optimized Ensemble Deep Learning for Real-Time Intrusion Detection on Resource-Constrained Raspberry Pi Devices by Muhammad Bisri Musthafa, Samsul Huda, Tuy Tan Nguyen, Yuta Kodera, Yasuyuki Nogami

“…The proposed system maintains high detection performance with accuracy of 97.3% across all test scenarios, while efficiently leveraging multi-core processing with peak CPU usage reaching 111.8%. …”
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Collaborative Learning for Task-Oriented Semantic Communications: Overcoming Data Mismatch Between Transceivers by Yanhu Wang, Ruidong Li, Changhong Wang, Jia Ye, Chenyuan Feng, Shuaishuai Guo

“…Task-oriented semantic communication (ToSC) enhances efficiency and performance by leveraging task-specific data representations and end-to-end learning, which are more compact and effective than traditional reconstruction-oriented methods. …”
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Revisiting the risk of introduction of Japanese encephalitis virus (JEV) into the United States – An updated semi-quantitative risk assessment by Andrea L. Dixon, Ana R.S. Oliveira, Lee W. Cohnstaedt, Dana Mitzel, Chad Mire, Natalia Cernicchiaro

“…The introduction of JEV into the United States (US) is a public health risk, and could also impact animal health and the food supply. To efficiently and cost-effectively manage risk, a better understanding of how and where diseases will be introduced, transmitted, and spread is required. …”
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T7 DNA polymerase treatment improves quantitative sequencing of both double-stranded and single-stranded DNA viruses by Billaud, Maud, Theodorou, Ilias, Lamy-Besnier, Quentin, Shah, Shiraz A., Lecointe, François, De Sordi, Luisa, De Paepe, Marianne, Petit, Marie-Agnès

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The Transformative Influence of Artificial Intelligence on Supply Chain Management by Tarihal Balakrishna, Kaliwal Rohit, Ammanagi Ashok

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Performance evaluation of anti-avalanche measures at the «Krasnaya Polyana» ski resort by D. I. Korovina, A. S. Turchaninova, S. A. Sokratov

“…For the first time, a qualitative and quantitative evaluation of the effectiveness of anti-avalanche measures was carried out for the territory of the «Krasnaya Polyana» ski resort, located in the Western Caucasus on the Aibga ridge. …”
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Multi-Objective Optimization of Daylighting–Thermal Performance in Cold-Region University Library Atriums: A Parametric Design Approach by Yunong Gao, Shuting Zhao, Yong Huang, Hui Pan

“…This paper aims to explore the quantitative law of design elements on light–heat balance at the early stage of architectural design and to provide a theoretical basis and reference blueprint for improving the comprehensive decision-making ability of architects in sustainable design and realizing integrated and efficient program decision-making.…”
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Identification of the key material degradation mechanisms affecting silicon solar cells: Systematic literature review by Eshetu Tadesse Ymer, Hirpa Gelgele Lemu, Mesay Alemu Tolcha

“…Specific degradation mechanisms include Potential-Induced Degradation, which can cause up to 30% efficiency loss by reducing short-circuit current density and open-circuit voltage, and Light-Induced Degradation, contributing up to 10% efficiency reduction. …”
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A Review of Quantitative Characterization of Phase Interface Dynamics and Optimization of Heat Transfer Modeling in Direct Contact Heat Transfer by Mingjian Wang, Jianxin Xu, Shibo Wang, Hua Wang

“…Direct contact heat transfer as an efficient heat recovery method. It is used in the fields of waste heat recovery, nuclear engineering, desalination, and metallurgy. …”
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Optimum Design of a Photovoltaic Inverter System Based on Ga, Pso and Gwo Algorithms with a Mppt Sliding Mode Control by Alberto Coronado-Mendoza, Mónica Camas-Náfate, Jesús Sergio Artal-Sevil, José Antonio Domínguez-Navarro

“…However, the performance of these systems is highly influenced by atmospheric conditions and load variations, necessitating the development of performance indices to enhance their efficiency and energy quality. In this study, four performance indices are proposed to evaluate the efficiency and energy quality of photovoltaic systems quantitatively. …”
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Effect of microscopic pore–throat structure heterogeneity on waterflooding seepage characteristics of tight sandstone reservoirs by Zhang Quanpei, Yang Chen, Tian Yu, Liu Hui, Xiao Wen, Wang Zhikun, Mi Zhongrong, Li Zheyu, Huo Yong, Li Yong, Min Jie, Zhang Duoduo, Chen Linzi, Duan Qiong

“…Based on these findings, high-temperature and high-pressure waterflooding experiments were performed to explore dynamic waterflooding behavior and systematic factors influencing fluid mobility and waterflooding efficiency (E w). Results indicate significant differences in fluid mobility across four PTS types, transitioning from uniform displacement (type I) to finger displacement (type IV), with corresponding reductions in movable fluid saturation and E w. …”
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Assessing the Effects of Wheat Planting on Groundwater Under Climate Change: A Quantitative Adaptive Sliding Window Detection Strategy by Lingling Fan, Shi Chen, Lang Xia, Yan Zha, Peng Yang

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Leveraging quantitative structure-activity relationships to design and optimize wall material formulations for antioxidant encapsulation via spray drying by Hugo M. Lisboa, Alexandre Lúcio, Rogério Andrade, Ana Maria Sarinho, Janaina Lima, Leonardo Batista, Maria Eduarda Costa, Amanda Nascimento, Matheus B. Pasquali

“…The optimal formulation consisted of 2 % whey protein isolate, 3 % pectin, and 5 % gum arabic, achieving encapsulation efficiencies of up to 14.21 mg/mL for hydrogen bond donor-rich antioxidants and 12.34 mg/mL for polar antioxidants. …”
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Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study by Xiongwen Yang, Yi Xiao, Di Liu, Huiyou Shi, Huiyin Deng, Jian Huang, Yun Zhang, Dan Liu, Maoli Liang, Xing Jin, Yongpan Sun, Jing Yao, XiaoJiang Zhou, Wankai Guo, Yang He, Weijuan Tang, Chuan Xu

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The Application of Quantitative ¹H-NMR for the Determination of Melatonin and Vitamin B6 in Commercial Melatonin Products by Xinyu Gao, Jiahao Niu, Zhengjian Xiao, Da Rong, Mingming Yu, Sherwin K. B. Sy, Cong Wang, Zhihua Lv

“…Compared to conventional methods, the ¹H-NMR technique offers a more efficient and simpler alternative, making it suitable for the simultaneous quantitative determination of melatonin and vitamin B6 hydrochloride. …”
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Harnessing Artificial Intelligence and Machine Learning for Identifying Quantitative Trait Loci (QTL) Associated with Seed Quality Traits in Crops by My Abdelmajid Kassem

“…Recent advances in artificial intelligence (AI) and machine learning (ML) provide powerful alternatives that enable more accurate trait prediction, robust marker-trait associations, and efficient feature selection. This review presents an integrated overview of AI/ML applications in QTL mapping and seed trait prediction, highlighting key methodologies such as LASSO regression, Random Forest, Gradient Boosting, ElasticNet, and deep learning techniques including convolutional neural networks (CNNs) and graph neural networks (GNNs). …”
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Primary Immunodeficiency Registry System: The Minimum Data Set Designing Phase—A Systematic Review and Quantitative Delphi Study by Saman Mohammadpour, Hassan Emami, Sima Shokri, Rafat Bagherzadeh, Soqrat Omari Shekaftik, Zanko Hosseini

“…Designing a minimum data set as the first step in registry development helps collect relevant and efficient data. The aim of this study was to develop a minimum data set for the primary immunodeficiency registry system. …”
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Quantitative evaluation of DNA damage repair dynamics to elucidate predictors of autism vs. cancer in individuals with germline PTEN variants. by Ruipeng Wei, Masahiro Hitomi, Tammy Sadler, Lamis Yehia, Daniela Calvetti, Jacob Scott, Charis Eng

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