Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea by Na Hyeon Yu, Daeun Shin, Ik Hee Ryu, Tae Keun Yoo, Kyungmin Koh

“…Routine health check-up data—including demographic information, medical history, and laboratory test results—are commonly utilized in clinical settings for disease risk assessment. …”
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Vehicular cache nodes selection algorithm under load constraint in C-V2X by Zhexin XU, Kaimeng GAO, Wenkang JIA, Yi WU

“…In order to solve the problem that the C-V2X vehicle topology in urban environment was highly dynamic and the load capacity of vehicle nodes was limited, and improve the utilization of vehicular cache resources and reduce the load of base station, a vehicle cache nodes selection algorithm under load constraints was proposed.Firstly, by defining the link stability metric, the predicted weight adjacency matrix was constructed to describe the vehicular micro-topology in essence.Next, the objective function was further constructed under the load constraints and non-overlapping coverage constraint, which maximized the average link weight of the clusters by using the least cache nodes.Finally, the greedy concept was then introduced and the node states were reasonably defined.As a result, the minimum dominating set of the vehicle topology was figured out under the load constraints.Besides, the serviced neighbor nodes were then determined preferentially.The simulation results show that the proposed algorithm is close to the global optimal results in terms of the number of cache nodes and the average weight of cluster links.Moreover, the repeated response ratio of the proposed algorithm is always zero while the request response ratio can achieve the theoretical upper bound.Furthermore, the response times of cache resources can be also effectively improved.…”
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Order assignment mechanism based on hierarchical decomposition and element matching by ZHANG Xinyue, LYU Weimin, WEI Dingjiang, YANG Dongsheng

“…This integrates and coordinates operational tasks, ensures no resource conflicts, and provides alternatives for responding to battlefield variables. …”
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Cardiorenal ketone metabolism in healthy humans assessed by 11C-acetoacetate PET: effect of D-β-hydroxybutyrate, a meal, and age by Valérie St-Pierre, Gabriel Richard, Etienne Croteau, Mélanie Fortier, Camille Vandenberghe, André C. Carpentier, André C. Carpentier, Bernard Cuenoud, Bernard Cuenoud, Stephen C. Cunnane, Stephen C. Cunnane

“…The heart and kidney have a high energy requirement, but relatively little is known about their utilization of ketones as a potential energy source. …”
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The Role of Machine Translation in English Language Learning: A Systematic Review by Judelyn Alones

“… This systematic literature review (SLR) examines the functions, limitations, and effectiveness of machine translation (MT) tools in English language learning. …”
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Leveraging In-Network Caching in Vehicular Network for Content Distribution by Haiyan Tian, Yusuke Otsuka, Masami Mohri, Yoshiaki Shiraishi, Masakatu Morii

“…The simulation results validate the proposed scheme in four aspects: robustness resisting obstacle buildings, reliability and scalability in different traffic loads, low utilization ratios of RSUs and Internet resource, and efficiency of cache functions.…”
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Computer-aided Simulation of a Cascade Biorefinery: Case Study of the Colombian Amazon’s Hass Avocado Waste by Anibal Alviz-Meza, Stefany A. Valdez-Valdes, Angel D. Gonzalez-Delgado

“…The principal contribution of this research lies in showing, through detailed simulation, the technical feasibility of a multistep system that integrates physical, chemical, and biotechnological processes to produce functional bioproducts from agricultural waste. Unlike fragmented approaches, this cascade biorefinery optimizes resource utilization, broadens product diversity, and minimizes waste, thereby supporting sustainability and circular economy principles.…”
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Study on the variation of carbon storage in the Chang-Zhu-Tan urban agglomeration in China based on topographic relief by Yi Mi, Sheng Li, Bo Wu

“…IntroductionRegional carbon storage is a significant indicator of ecosystem service functions. Examining the impact of changes in land use on carbon stock in the Chang-Zhu-Tan urban agglomeration under different topographic reliefs is paramount for sustainable land resource utilization and realizing carbon peaking and neutrality goals.MethodsThis study focuses on the Chang-Zhu-Tan urban agglomeration, using the InVEST model in combination with land use data to explore the distribution pattern of land use change and carbon storage from the perspective of topographic relief.ResultsThe research results show that:(1) the optimal analysis window for topographic reliefs in the study area is 17 × 17, covering an area of 0.26 km², with an average topographic relief of 78.58 m. (2) Between 2000 and 2020, Cultivated land and forest land decreased by 592.27 km² and 421.5 km², respectively, while the built-up land area increased by 982.36 km². (3) Due to human activities, carbon stock in the study area showed a decreasing trend, with a total reduction of 13.37 × 106 tons over the past 20 years. (4) The distribution of carbon stock across topographic reliefs mainly exhibits low-value and moderate-value carbon stock concentrations in flat and slightly undulating areas. …”
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Heterogeneous III-V/Si micro-ring laser array with multi-state non-volatile memory for ternary content-addressable memories by Stanley Cheung, Yanir London, Yuan Yuan, Bassem Tossoun, Yiwei Peng, Yingtao Hu, Thomas Van Vaerenbergh, Di Liang, Chong Zhang, Geza Kurczveil, Raymond G. Beausoleil

“…These non-volatile lasers are used to demonstrate optical ternary content-addressable memories (O-TCAM) which can find utility in fast memory search and in-memory computing functions necessary for various machine learning algorithms. …”
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Design and Fabrication of Cylindrical Fiber Backplanes with 2T1C Pixel Circuits for Truly Wearable Woven Displays by Jiseong Lee, Soyoon Park, Seong Uk Kong, Jiwoo Park, Daehyun Kim, Kyung Cheol Choi

“…This design demonstrates exceptional potential for high‐density integration, advanced functionality, and scalability in next‐generation electronic systems. …”
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Analysis of a Periodic Single Species Population Model Involving Constant Impulsive Perturbation by Ronghua Tan, Zuxiong Li, Shengliang Guo, Zhijun Liu

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Metabolomics combined with network pharmacology reveals the anti-hepatoma effects of terpenoids from Polygonatum kingianum var. grandifolium and Polygonatum sibiricum Redouté as we... by Xiuzhi Wang, Xiaolin Wan, Tianrun Zhu, Lingjun Cui, Qiang Xiao

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Protocol Biopsies in Kidney Transplant Recipients: Current Practice After Much Discussion by Christina Lazarou, Eleni Moysidou, Michalis Christodoulou, Stamatia Stai, Georgios Lioulios, Efstratios Kasimatis, Asimina Fylaktou, Maria Stangou

“…Further multicenter randomized trials are needed to refine guidelines and optimize their clinical utility.…”
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Regulation of lanthanide supramolecular nanoreactors via a bimetallic cluster cutting strategy to boost aza-Darzens reactions by Jingzhe Li, Manchang Kou, Shengbin Zhou, Fan Dong, Xiaoyu Huang, Xiaoliang Tang, Yu Tang, Weisheng Liu

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The Sustainable Production of Terpenoids in Cyanobacterial Chassis by Bo Hong, Ling Qiu, Ruo Lv, Zongxia Yu

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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation by Qiang Zhang, Zhe Wu, Boshuo An, Ruitian Sun, Yanping Cui

“…However, the current gear operation is still faced with problems such as poor monitoring, a single detection index, and low data utilization, which lead to incomplete evaluation results. …”
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Spatiotemporal composition and diversity of endophyte communities in Dracaena cambodiana on Hainan Island by Sipeng Li, Yang Liu, Xin Yang, Yun Yang, Junxiang Peng, Yanhong Xu, Jianhe Wei, Jianhe Wei

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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…This study presents a machine learning-based approach to forecast Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs), addressing challenges such as dynamic network topologies and resource constraints. The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot Optimization Algorithm (COA), Smell Agent Optimization (SAO), and Northern Goshawk Optimization (NGO) to improve ALE prediction accuracy. …”
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A Novel Multi-Objective Fuzzy Deep Learning Framework for Predictive Maintenance in Industrial Internet of Things by Jiangang Feng, Jicheng Kan

“…The proposed method leverages NSBBO in two critical areas: backpropagation optimization within CNN’s fully connected neural network layers and membership function optimization to refine fuzzy logic handling of uncertain or noisy information. …”
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Machine learning driven multi-omics analysis of the genetic mechanisms behind the double-coat fleece formation in Hetian sheep by Yanwei Zhang, Wenrong Li, Xinming Xu, Mengwan Xie, Liping Tang, Peiyu Zheng, Nannan Song, Lijuan Yu, Jiang Di

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