Design of Network Security Anomaly Detection Model Based on SLNA Cell Structure by Guiling Fan, Shaojun Chen

“…The experimental results revealed that the stable layer normalized attention unit structure could effectively prevent the occurrence of floating point overflow phenomenon in the process of data processing, and only about 620 rounds to achieve convergence, distillation structure of the student neural network fitting degree reaches more than 98%. …”
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Numeral Study and Experimental Verification of Vent-Hole Type of External Cover on Differential Pressure Cooling

“…In order to solve the problem of cooling nonuniformity in forced air pre-cooling for vegetables and fruits,five vent-hole types were designed,and a physical model and a numerical model were established.The commercial software FLUENT was employed to simulate the cooling process of potatoes with five types of vent-holes,respectively.The simulation results show that the cooling rate was highest and the pre-cooling uniformity was best with 32 non-uniform vent-holes.Our experimental data agree reasonably with th...…”
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The Fermentation Degree Prediction Model for Tieguanyin Oolong Tea Based on Visual and Sensing Technologies by Yuyan Huang, Jian Zhao, Chengxu Zheng, Chuanhui Li, Tao Wang, Liangde Xiao, Yongkuai Chen

“…The fermentation of oolong tea is a critical process that determines its quality and flavor. Current fermentation control relies on tea makers’ sensory experience, which is labor-intensive and time-consuming. …”
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多功能果蔬保鲜装置的研制及大白菜真空预冷实验 by Shen Jiang, Zhang Chuan, Liu Sheng, Ding Feng

“…The unique technical feature and advantage of the device were analyzed with the experiment data such as 3.34% water loss rate of cabbage, and it can be seen that the cold chain logistics cycle of both pre-cooling and storage were shorted, the fruits and vegetables mechanical damage were reduced with the device, which shows the economic potential in the real application.…”
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Efficacy of acupuncture-related therapy for postmenopausal osteoporosis: a systematic review and network meta-analysis based on randomized controlled trials by Bing Deng, Bing Deng, Tiantian Xu, Zilan Deng, Yue Jiang, Li Li, Wankun Liang, Yuewen Zhang, Hongjin Wang, Yunxiang Xu, Guizhen Chen

“…The secondary outcome is adverse events. The entire process of literature screening and data analysis was conducted by 2 independent investigators.ResultsA total of 30 studies with 2,342 participants provided data suitable for analysis. …”
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The Hadamard-PINN for PDE inverse problems: Convergence with distant initial guesses by Yohan Chandrasukmana, Helena Margaretha, Kie Van Ivanky Saputra

“…H-PINN addresses challenges in convergence and accuracy when initial parameter guesses are far from their actual values. The training process is divided into two phases: data fitting and parameter optimization. …”
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SHAP Informed Neural Network by Jarrod Graham, Victor S. Sheng

“…This study highlights the potential of SHAP-informed methods to guide optimization processes through feature-level insights, offering advantages in data with complex feature interactions. …”
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Study on Self-Sharpening Mechanism and Polishing Performance of Triethylamine Alcohol on Gel Polishing Discs by Yang Lei, Lanxing Xu, Kaiping Feng

“…Furthermore, the synergistic effects of process parameters on both surface quality and material removal rate (<i>MRR</i>) of SiC are examined. …”
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Characteristics of the spatiotemporal differences in snowmelt phenology in the Northern Hemisphere by Xiaoyu Li, Haoming Fan

“…This study analyzes spring-summer snowmelt phenology and rates (1991–2022) using ERA5-Land data, focusing on spatiotemporal trends in snowmelt duration, rate heterogeneity, and drivers under climate change. …”
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The Analysis of the Impact of Energy and Environmental Policies of the European Union on the Economic Performance of Companies. Case Study in the Transport Sector by Monica Aureliana Petcu, Eduard Mădălin Dinu, Irina Daniela Cişmaşu, Raluca Andreea Popescu-Predulescu

“…The study covers the transport sector at the level of the member countries of the European Union in the period 2011-2020, the collected data being processed with the regression method. …”
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Analysis of the burden of ischemic stroke attributed to dietary factors in China from 1990 to 2021 by ZHANG Xiaoyu, LIANG Yao, GUO Heng, DONG Wanguo, HUA Tianfeng, YANG Min

“…Objective To analyze the burden level and trend of ischemic stroke attributed to dietary factors in China from 1990 to 2021.Methods Based on the Global Burden of Diseases study (GBD) 2021 database, data related to age-standardized mortality rates (ASMR) and age-standardized disability-adjusted life years rates (ASDR) associated with ischemic stroke attributed to dietary factors in China from 1990 to 2021 were extracted. …”
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Development of a Deep Learning-Based Text-To-Speech System for the Malang Walikan Language Using the Pre-Trained SpeechT5 and Hifi-GAN Models by Aina Avrilia Imani, Aviv Yuniar Rahman, Firman Nurdiyansyah

“…These findings indicate that the TTS model without fine-tuning is not yet capable of producing synthetic voices that can be recognized accurately by the ASR system, especially for regional languages that are not included in the initial training data. Therefore, the fine-tuning process and the preparation of a more representative dataset are important so that the TTS system can support the preservation of the Walikan Malang language more effectively in the digital era.…”
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All-breed single-step genomic best linear unbiased predictor evaluations for fertility traits in US dairy cattle by J.M. Tabet, D. Lourenco, F. Bussiman, M. Bermann, I. Misztal, P.M. VanRaden, Z.G. Vitezica, A. Legarra

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Predictive Study on the Cutting Energy Efficiency of Dredgers Based on Specific Cutting Energy by Junlang Yuan, Ke Yang, Taiwei Yang, Haoran Xu, Ting Xiong, Shidong Fan

“…First, eigenvalue screening is carried out based on the dredging knowledge and mechanism, then outliers are removed, and finally data processing is performed using Spearman correlation coefficient and PCA dimensionality reduction techniques. …”
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Search for oil deposits in YuS2–3 formations of the Southern part of the Priobskoye field based on a seismogeological model using exchroma^SG technology by D. A. Kotunov, S. A. Khalilov, D. V. Romanov, S. A. Lyubimov

“…In addition to clarification of the geological structure of the deposit under development, the search for new oil deposits contributes to increasing the available reserves thus reducing the rate of decline in production. The availability of geological models for promising objects, created based on modern approaches to processing and interpretation of 3D seismic data, increases the efficiency of geological exploration and reduces the production costs. …”
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Comparative characteristics of vegetative support of central hemodynamics and physical performance of runners on 400 meters of both genders by Ye. L. Mikhalyuk, M. V. Didenko, S. N. Malakhova

“…The aim of this study was to make comparisons of heart rate variability, central hemodynamics and physical performance of the runners in the 400 meters of both genders. …”
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Comparison of Crustal Stress and Strain Fields in the Himalaya–Tibet Region: Geodynamic Implications by Federico Pietrolungo, Giusy Lavecchia, Asier Madarieta-Txurruka, Federica Sparacino, Eshaan Srivastava, Daniele Cirillo, Rita de Nardis, Carlo Andrenacci, Simone Bello, Nicolò Parrino, Attilio Sulli, Mimmo Palano

“…The Himalaya–Tibet region represents a complex region of active deformation related to the ongoing India–Eurasia convergence process. To provide additional constraints on the active processes shaping this region, we used a comprehensive dataset of GNSS and focal mechanisms data and derived crustal strain and stress fields. …”
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Design and development of SHINE accelerator fast interlock system by YU Chunlei, CHEN Guanghua, DING Jianguo, LI Ming, XIAO Qingwen, YAN Yingbing

“…Due to 1 MHz repetition rate and thousands of kilometers length of SHINE, the accelerator interlock system should be a large system with response speed in microsecond magnitude and capable of processing tens of thousands of signals simultaneously.PurposeThis study aims to design and implement fast interlock system integrated with the conventional slow interlock system for SHINE accelerator.MethodThrough the analysis of SHINE requirements, FPGA (Field Programmable Gate Array) technology, distributed control technology, and network communication technology were adopted to complete the design of the fast interlock system. …”
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Designing Customer Analytics Dashboard in Smart Device Retail Using Power BI by Reza Rahutomo

“…The research methodology includes four stages which are Power BI understanding, data acquisition, data pre-processing, and metric modeling. …”
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An Energy-Aware, Self-Adaptive, Battery-Free Smart Wristband for Long-Term Health Monitoring by Shihong Chen, Esther Rodriguez-Villegas

“…Power consumption is minimized through onboard processing, which reduces inefficient data transmission, and adaptive sensor sampling, which dynamically allocates energy based on heart rate, supercapacitor voltage, and harvesting conditions. …”
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