High-accuracy physical property prediction for pure organics via molecular representation learning: bridging data to discovery by Qi Ou, Hongshuai Wang, Minyang Zhuang, Shangqian Chen, Lele Liu, Ning Wang, Zhifeng Gao

“…Abstract The escalating energy crisis has spurred extensive research into organic compounds for energy-efficient applications, taking advantage of their environmental friendliness, cost-effective synthesis, and adaptable molecular structures. …”
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Flexible terahertz beam manipulation and convolution operations in light-controllable digital coding metasurfaces by Min Jia, Chao Zhao, Hui Wang, Weiran Sun, Yuncheng Lu

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Geomagnetic cutoff rigidity in neutron monitor locations by Kruchinin Pavel, Siruk Stepan, Mayorov Andrey, Malakhov Vitaly, Aleksandrin Sergey

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Prognosis method to predict small-sized breast cancer affected by fibrocystic disease by S. A. Velichko, E. M. Slonimskaya, I. G. Frolova, D. G. Bukharin, A. V. Doroshenko

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Automatic characterization of stride parameters in canines with a single wearable inertial sensor. by Gregory J Jenkins, Chady H Hakim, N Nora Yang, Gang Yao, Dongsheng Duan

“…We also developed a MATLAB algorithm for data acquisition and stride timing determination. …”
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Allergic Reactions at Enzyme Replacement Therapy in Children with Mucopolysaccharidosis Type II by Julia G. Levina, Nato D. Vashakmadze, Leyla S. Namazova-Baranova, Elena A. Vishneva, Natalia V. Zhurkova, Kamilla E. Efendieva, Anna A. Alekseeva, Vera G. Kalugina

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Assessment of OLCI absorption coefficients for non-water components across all optical water classes by Astrid Bracher, Astrid Bracher, Andrew Clive Banks, Hongyan Xi, David Dessailly, Juan Gossn, Carole Lebreton, Rüdiger Röttgers, Ewa Kwiatkowska, Spyros Chaikalis, Ehsan Mehdipour, Elli Pitta, Mariana Altenburg Soppa, Jan Wevers, Christina Zeri

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Estimating Chlorophyll-a Concentrations in Optically Shallow Waters Using Gaofen-1 Wide-Field-of-View (GF-1 WFV) Datasets from Lake Taihu, China by Fuli Yan, Yuzhuo Li, Xiangtao Fan, Hongdeng Jian, Yun Li

“…In the validation step, the obtained RMSE of 10.89 <inline-formula><math display="inline"><semantics><mrow><msup><mrow><mi mathvariant="sans-serif">μ</mi><mi mathvariant="normal">g</mi><mo>·</mo><mi mathvariant="normal">L</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula> and MAPE of 17.52% are consistent with the proposed algorithm. This research provides a good reference for the determination of chlorophyll-a concentrations in phytoplankton in complex inland water bodies. …”
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A new approach for improving dynamic fault ride through capability of gridctied based wind turbines by Shoaib Ahmed Dayo, Ahsanullah Memon, Zeeshan Anjum Memon, Touqeer Ahmed Jumani, Ghulam Abbas, Salwa Othmen, Amr Yousef, Andika Aji Wijaya

“…Despite its advantages, researchers continually face challenges in managing the DFIG, including overshooting, rising time, and stability under fault conditions. …”
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Analyzing Household Vehicle Ownership in the Japanese Local City: Case Study in Toyota City by Jia Yang, Hideki Kato, Ryosuke Ando, Yasuhide Nishihori

“…This study aims to understand the crucial factors affecting vehicle ownership in the local city, Japan. 14,855 household sample data in Toyota City are used as the research sample. The sample data are extracted from the 5th Person Trip Survey data in the Chukyo region. …”
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Quantification of greenhouse gas emissions from livestock using remote sensing &amp; artificial intelligence by Evet Naturinda, Fortunate Kemigyisha, Anthony Gidudu, Isa Kabenge, Emmanuel Omia, Jackline Aboth

“…Therefore, there is a need to develop more accurate and efficient methods of quantifying GHGs from livestock. This research developed a remote sensing and Artificial Intelligence (AI) based approach to quantify GHG emissions from cattle in the Kisombwa Ranching Scheme in Mubende District, central Uganda.We trained a deep learning algorithm, You Only Look Once (YOLO) v4, to detect cattle from the Unmanned Aerial Vehicle (UAV) images of the study area and applied the Simple Online Real-time Tracker (SORT) algorithm for automated counting. …”
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DEVELOPMENT AND STUDY OF THE OPERATION OF THE MODULE FOR DETERMINING THE ORIENTATION OF THE MANIPULATOR JOINT by Igor Nevlyudov, Sergiy Novoselov, Oksana Sychova

“…This is due to some defects and imperfections of the surface of the manufactured parts of the joint model used in research. …”
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System Verification and FPGA Implementation of Hardware Preemptive Scheduler for RISC-V Processor by Ionel Zagan, Vasile Gheorghita Gaitan

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PAQR6 as a prognostic biomarker and potential therapeutic target in kidney renal clear cell carcinoma by Tao Zou, Zongming Jia, Jixiang Wu, Xuxu Liu, Minghao Deng, Xuefeng Zhang, Yuxin Lin, Yuxin Lin, Jigen Ping

“…In the future, to determine its molecular mechanism in KIRC carcinogenesis, more in vivo research will be carried out.…”
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Data-Driven Insights into the Association Between Oxidative Stress and Calcium-Regulating Proteins in Cardiovascular Disease by Namuna Panday, Dibakar Sigdel, Irsyad Adam, Joseph Ramirez, Aarushi Verma, Anirudh N. Eranki, Wei Wang, Ding Wang, Peipei Ping

“…By leveraging a link prediction algorithm, our research illuminates the interactions between Ca²⁺-regulating proteins, OS, and CVDs. …”
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Application of Metaheuristics for Optimizing Predictive Models in iHealth: A Case Study on Hypotension Prediction in Dialysis Patients by Felipe Cisternas-Caneo, María Santamera-Lastras, José Barrera-Garcia, Broderick Crawford, Ricardo Soto, Cristóbal Brante-Aguilera, Alberto Garcés-Jiménez, Diego Rodriguez-Puyol, José Manuel Gómez-Pulido

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Fetal Birth Weight Prediction in the Third Trimester: Retrospective Cohort Study and Development of an Ensemble Model by Jing Gao, Xu Jie, Yujun Yao, Jingdong Xue, Lei Chen, Ruiyao Chen, Jiayuan Chen, Weiwei Cheng

“…The initial set of data was divided into a train set for algorithm development and a test set on which the algorithm was divided in a ratio of 4:1. …”
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Peculiarities of Modeling a Specialized Computing System by G. A. Zvonareva, D. S. Buzunov

“…Three prioritization algorithms were considered: without using priorities as a standard; priority queue; Weighted Round Robin as a more complex algorithm.Data on the processing time of various types of requests were obtained experimentally using the Wireshark network traffic analysis tool. …”
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Decoding Agricultural Drought Resilience: A Triple-Validated Random Forest Framework Integrating Multi-Source Remote Sensing for High-Resolution Monitoring in the North China Plain by Xianyong Meng, Song Zhang, Guoqing Wang, Jianli Ding, Chengbin Chu, Jianyun Zhang, Hao Wang

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Multi-Frequency Entropy for Quantifying Complex Dynamics and Its Application on EEG Data by Yan Niu, Jie Xiang, Kai Gao, Jinglong Wu, Jie Sun, Bin Wang, Runan Ding, Mingliang Dou, Xin Wen, Xiaohong Cui, Mengni Zhou

“…Multivariate entropy algorithms have proven effective in the complexity dynamic analysis of electroencephalography (EEG) signals, with researchers commonly configuring the variables as multi-channel time series. …”
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