E-Modules for Computer Network Practicum Based on Problem-Based Learning and Peer Tutoring: A Practical Solution to Develop 21st-Century Skills by Lativa Mursyida, Ika Parma Dewi, Agariadne Dwinggo Samala, Fadhli Ranuharja

“…E-modules that are integrated with appropriate learning models can help achieve optimal learning outcomes. …”
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THE CONCEPT OF AEOS WITHIN THE CONTEXT OF THEORY OF LAW by M. A. Rylskaya, D. V. Nekrasov

“…The legal institution of Authorized Economic Operator (AEO) is currently the subject of study of Russian and foreign researchers, due to the need to improve customs control through the use of modern tools and technologies designed for providing effective customs control and secure supply chain. …”
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Inbound traffic capture link-design problem independent of assumptions on users’ route choices by Ruri Sase, Satoshi Sugiura

“…The results of computational experiments confirm that our model selects the optimal cordon location formed by a combination of capturing links and also outputs an identical cordon as a boundary line of an area. …”
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Mitigating policies for pollutant emissions in a DSGE for the Brazilian economy by Marcos Valli Jorge, Angelo M Fasolo, Silvio Michael de Azevedo Costa

“…This paper examines the dynamic behavior of the Brazilian economy under policy regimes aimed at controlling pollutant emissions and limiting environmental damage. …”
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CFD investigation and ANN prediction of heat transfer coefficient for fully developed turbulent air flow around double V-baffle turbulators by Abdulaziz Alasiri, H.E. Fawaz

“…The Final layer uses the linear activation function while all the hidden layers use the rectified Linear Units Activation function (ReLU). The ANN model demonstrates excellent predictive performance, yielding values close to 1 for R2 and r, along with extremely low values for MSE, MAPE, MSLE, and log-cosh loss (0.01, 0.6 %, 0.001, and 0.01, respectively), demonstrating the ANN model's high predictive accuracy.…”
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Automated potato tuber mass estimation and grading with multiangle 2D images by Ayush K. Sharma, Lincoln Zotarelli, Alina Zare, Lakesh K. Sharma

“…The physically measured, volume-based, and image-extracted features were used to employ linear and stepwise regression models to estimate the tuber mass. These models were trained on 14 and tested on 9 different cultivars. …”
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Induction of an anti-tumor immune response by sonodynamic therapy, combining 5-aminolevulinic acid and high-intensity focused ultrasound using the trigger pulse sonication by Tohru Satoh, Rui Tada, Taiki Yamaguchi, Yoko Endo-Takahashi, Takashi Kanno, Mai Hayakawa, Yoshiyuki Adachi, Yoichi Negishi, Jun Okamoto, Shin Yoshizawa, Ken Masamune

“…This novel system features the use of a trigger HIFU sequence that enables precise control over cavitation bubbles within the target tissue. …”
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Forecasting motion trajectories of elbow and knee joints during infant crawling based on long–short-term memory (LSTM) networks by Jieyi Mo, Qiliang Xiong, Ying Chen, Yuan Liu, Xiaoying Wu, Nong Xiao, Wensheng Hou

“…Conclusions This study demonstrates the feasibility of forecasting infant crawling trajectories using LSTM networks, which could potentially integrate with exoskeleton control systems. It experimentally explores how different input and output time-frames affect prediction accuracy and sets the stage for future research focused on optimizing models and developing effective control strategies to improve assistive crawling devices.…”
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The efficacy and safety of neoadjuvant and adjuvant chemo(radio)therapy combined with surgery in patients with locally advanced rectal cancer harboring defective mismatch repair sy... by Huan-Huan Wang, Yuan-Yuan Yan, Hong-Yu Zeng, Yong Wang, Ke-Min Ni, Xin-Ru Yu, Jin-Ming Shi, Hong-Li Li, Jun-Feng Wang, Zhi-Yong Yuan, Qing-Lian Wen, Nicholas G. Zaorsky, Chun-Ze Zhang, Feng-Lin Zang, Mao-Bin Meng

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Dopamine, affordance and active inference. by Karl J Friston, Tamara Shiner, Thomas FitzGerald, Joseph M Galea, Rick Adams, Harriet Brown, Raymond J Dolan, Rosalyn Moran, Klaas Enno Stephan, Sven Bestmann

“…These simulations provide a (Bayes-optimal) model of contextual uncertainty and set switching that can be quantified in terms of behavioural and electrophysiological responses. …”
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Predicting postprandial glucose excursions to personalize dietary interventions for type-2 diabetes management by Victoria Brügger, Tobias Kowatsch, Mia Jovanova

“…This approach can inform the development of digital dietary interventions in mHealth apps and clinical decision support tools, thereby helping optimize glycemic control and patient-centered T2D lifestyle management..…”
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Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis by Xie Y., Mariano V.

“…Leveraging an annotated dataset of 872 high-resolution videos covering 15 state combinations, the model integrates optimized 3D convolutions and residual connections, achieving significant improvements in classification accuracy and computational efficiency. …”
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Developing supervised machine learning algorithms to classify lettuce foliar tissue samples into interpretation zones for 11 plant essential nutrients by Patrick Veazie, Hsuan Chen, Kristin Hicks, Jake Holley, Nathan Eylands, Neil Mattson, Jennifer Boldt, Devin Brewer, Roberto Lopez, Brian Whipker

“…Machine learning can be utilized to develop algorithms to accurately classify new information using models developed on known data from a training dataset. …”
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D-Psicose mitigates NAFLD mice induced by a high-fat diet by reducing lipid accumulation, inflammation, and oxidative stress by Jiajun Tan, Jiajun Tan, Wen Sun, Xueyun Dong, Jiayuan He, Asmaa Ali, Asmaa Ali, Min Chen, Leilei Zhang, Liang Wu, Liang Wu, Keke Shao, Keke Shao

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Predictive value of sub classification of focal segmental glomerular sclerosis in Oxford classification of IgA nephropathy by Fang Yu, Xuejing Zhu, Shuguang Yuan, Xiaojun Chen, Zheng Li, Zhong Qu, Hong Liu, Lin Sun, Fuyou Liu

“…IgAN patients with mild lesion (M0E0S0T0C0) were set as the control group. The clinical features at renal biopsy, pathological findings, and follow-up parameters (follow-up time ranged from 1 to 5 years) were collected. …”
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Two‐Step Tandem Catalysis for High‐Efficiency Ammonia Synthesis Via Nitrate Reduction on Anion‐Intercalated CoNi LDH and Cu/Cu2O by Changzheng Lin, Weijia Li, Hao Chen, Jiangtao Feng, Mengyuan Zhu, Jinwen Shi, Mingtao Li, Bo Hou, Zhenyu Wang, Xin Chen, Jia Liu, Wei Yan

“…This study presents a CoNi layered double hydroxide (LDH) approach to finely control hydrogen radical (*H) supply, paired with Cu/Cu2O redox coupling, to achieve optimal rate matching. …”
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Prevalence of chronic kidney disease among Chinese adults with diabetes: a nationwide population-based cross-sectional studyResearch in context by Weiping Jia, Rong Yu, Limin Wang, Dalong Zhu, Lixin Guo, Jianping Weng, Hong Li, Mei Zhang, Xiaoqi Ye, Zhiguang Zhou, Dajin Zou, Qiuhe Ji, Xiaohui Guo, Yinan Zhang, Dong Lang, Jiarui Wu, Jing Wu, Xuhong Hou, Xiaohui Guo, Kai Wu, Liming Chen, Demin Liu, Guangyao Song, Linyi Shu, Jing Yang, Yan Wang, Dongmei Li, Qiansha Guo, Ling Li, Na Wu, Yadong Sun, Huifang Cheng, Hongyu Kuang, Huijuan Zhang, Weiping Jia, Xuhong Hou, Dalong Zhu, Jian Zhu, Hong Li, Fenping Zheng, Qiu Zhang, Honglin Hu, Gang Chen, Xingquan Yang, Xiaoyang Lai, Jianping Liu, Li Chen, Ming Dong, Zhigang Zhao, Jian Liu, Guangda Xiang, Junxia Zhang, Zhiguang Zhou, Jian Peng, Jianping Weng, Longyi Zeng, Yuzhen Liang, Guoqiao Li, Kaining Chen, Leweihua Lin, Qifu Li, Qingfeng Cheng, Xingwu Ran, Dawei Chen, Hong Li, Xin Nian, Lihui Yang, Shuyou Meng, Jing Xu, Junhong Long, Jing Liu, Qi Zhang, Qingxiang Dai, Xiaomin Xie, Guirong Bai, Jun Li, Tao Li, Zhong Dong, Tao Zhang, Sijia Liu, Yong Yang, Kun Geng, Wenlong Zheng, Zhihong Li, Hui Wang, Zuojun Wu, Miao Wang, Jixin Sun, Jianwei Zhou, Jun An, Huaqing Shen, Yanfang Li, Zeping Ren, Xiuli Xue, Shaohui Jia, Yongping Zheng, Jiaoxia Li, Yonggang Qian, Ping Ma, Yan Su, Liang Cao, Xuyi Yang, Guowei Pan, Guangzhi Pan, Ling Jin, Quanfu Yu, Yunfei Liu, Yingli Zhu, Zhifang Cheng, Jun Yang, Chundi Jia, Qing Wang, Shichun Yan, Jingyang Huang, Yumei Chi, Li Zhang, Ruifa Pang, Yan Shi, Yan Lu, Yiling Wu, Jie Yu, Chunxiang Wu, Jinyi Zhou, Yunxia Wu, Ning Zhang, Jing Sun, Xiumei Tian, Jieming Zhong, Jingying Chen, Kaixu Xie, Lingjuan Fu, Xiaohua Wang, Yeji Chen, Ling Zeng, Zhenqian Cao, Maomin Yang, Biao Hu, Wenling Zhong, Qingyan Liu, Zhiding Huang, Qingbin Lai, Yuyu Zhang, Liping Zhu, Yujing Zhao, Wuming Tao, Yonghai Tu, Lin Zhou, Xiaolei Guo, Benzheng Chai, Liping Ding, Yuewei Zou, Dongzhi Li, Li Hua, Shixian Feng, Jianli Guo, Wanguang Liu, Qingxiang Li, Yunzhi Zheng, Minli Xu, Lan Zhang, Chunbo Li, Yingchao Wan, Chi Hu, Shengping Xu, Biyun Chen, Huilin Liu, Xiaojia Bian, Wenwei Chen, Honghua Li, Yanjun Xu, Fan Weng, Hong Wu, Weijin Zhang, Liankai Zhu, Jun Meng, Jin Yang, Yongsong Zeng, Gaoke Zhai, Lingfeng Qin, Yi Lu, Zhenwang Fu, Shukuan Wu, Caigang Li, Na Wang, Lianfen Chen, Xianbin Ding, Qi Zhou, Yiling Xie, Rui Chen, Dongsheng Yang, Ying Deng, Youping Hu, Bo Huang, Ping Wang, Peng Cai, Changyan Peng, Xiaofang Chen, Ling Li, Liang Xiao, Chenglin Wang, Chaogang Tan, Daobin Chen, Min Chen, Mingfang Qin, Zhaomin Lei, Jianzhi Qiu, Wei Yu, Yunfei Li, Guoxia Bai, Ying Wang, Lin Qiu, Ning Wang, Xudong Zhao, Ani Yan, Jianfei Liu, Tingcai Wang, Kaihua Hao, Zaihong Zhang, Zhanqi Xian, Tenghuan Ma, Zhihua Xu, Yi Yang, Hongli Wang, Rong Li, Zhonggang Zhao, Caixia Fan, Purhati, Hongjun Xu, Liping Gao

“…Additionally, research gaps exist in understanding the association between CKD and cardiovascular health (CVH), an integrated indicator of lifestyle and metabolic control, within a nationwide sample of Chinese adults with diabetes. …”
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Multi-Modal CLIP-Informed Protein Editing by Mingze Yin, Hanjing Zhou, Yiheng Zhu, Miao Lin, Yixuan Wu, Jialu Wu, Hongxia Xu, Chang-Yu Hsieh, Tingjun Hou, Jintai Chen, Jian Wu

“…Background: Proteins govern most biological functions essential for life, and achieving controllable protein editing has made great advances in probing natural systems, creating therapeutic conjugates, and generating novel protein constructs. …”
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Association of Cumulative Exposure to Metabolic Score for Visceral Fat With the Risk of Cardiovascular Disease and All‐Cause Mortality: A Prospective Cohort Study by Qian Liu, Haozhe Cui, Fei Si, Yuntao Wu, Jing Yu

“…A multivariate Cox proportional hazards regression model was used to assess the risk of CVD and all‐cause mortality during 2010–2022 years (hazard ratio [HR] and 95% confidence interval [95% CI]). …”
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Which novel teaching strategy is most recommended in medical education? A systematic review and network meta-analysis by Shuai-Long Zhang, Si-Jing Ren, Dong-Mei Zhu, Tian-Yao Liu, Lian Wang, Jing-Hui Zhao, Xiao-Tang Fan, Hong Gong

“…Abstract Aim There is no conclusive evidence which one is the optimal methodology for enhancing the quality and efficacy of learning for medical students. …”
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