Examining the Effects of Intersectoral Uncertainty Transmission Using a Time-Varying Model by Hamidreza Hamidi, Mirfeiz Fallah Shams, Hosein Jahangirnia, Mojgan Safa

“…The state-space approach is a modeling method for dynamic systems that predicts and analyzes system behavior under these modeling conditions. One of the applications of this approach is to account for structural instability in parameters and to allow coefficients to vary over time. …”
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Comparison and Evaluation of Rain Gauge, CMORPH, TRMM PR and GPM DPR KuPR Precipitation Products over South China by Rui Wang, Huiping Li, Hao Huang, Liangliang Li

“…This study aims to provide valuable insights for enhancing precipitation retrieval algorithms and improving the applicability of remote sensing precipitation products.…”
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Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study by Denise Lee, Akhil Vaid, Kartikeya M Menon, Robert Freeman, David S Matteson, Michael L Marin, Girish N Nadkarni

“…Specifically, as interest in LLM-based clinical applications grows, regulatory safeguards must be established to avoid exposure of patient data through the public domain. …”
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Cyber security Enhancements with reinforcement learning: A zero-day vulnerabilityu identification perspective. by Muhammad Rehan Naeem, Rashid Amin, Muhammad Farhan, Faisal S Alsubaei, Eesa Alsolami, Muhammad D Zakaria

“…MASE was 3.91 and SMAPE was 1.59, meaning that a very minimal percentage error existed within the forecast. The MAE value was at 6.34, while the RMSE was 10.22, meaning a relatively low average difference within actuals and the forecasted values. …”
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Predictive Modeling of Lignocellulosic Content in Crop Straws Using NIR Spectroscopy by Yifan Zhao, Yingying Zhu, Yumeng Ren, Yu Lu, Chunling Yu, Geng Chen, Yu Hong, Qian Liu

“…The results suggest that NIRS methods have broad prospects in the analysis of agricultural waste, particularly in applications related to biofuel production and the valorization of agricultural by-products.…”
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Object-Specific Multiview Classification Through View-Compatible Feature Fusion by Javier Perez Soler, Jose-Luis Guardiola, Nicolás García Sastre, Pau Garrigues Carbó, Miguel Sanchis Hernández, Juan-Carlos Perez-Cortes

“…Furthermore, our approach delivers highly accurate rotation estimation, maintaining an error margin slightly above 2° when sampling at 4° intervals.…”
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Accuracy of ultrasonographic transcerebellar diameter for dating in third trimester of pregnancy in Nigerian women: a cross-sectional study by Okechukwu Uche Ofoegbu, Nicholas Irurhe, Tersur Terry Saalu, Oluwaseun Emmanuel Familusi, Charity Opeoluwapo Maduagu, Lucky Enajite Tietie, Olaniyi Araotan Kusamotu, Ochuwa Adiketu Babah

“…Clinical trial number Not applicable for this study.…”
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Feasibility of Implementing Motion-Compensated Magnetic Resonance Imaging Reconstruction on Graphics Processing Units Using Compute Unified Device Architecture by Mohamed Aziz Zeroual, Natalia Dudysheva, Vincent Gras, Franck Mauconduit, Karyna Isaieva, Pierre-André Vuissoz, Freddy Odille

“…However, the clinical applicability of these methods requires fast processing to ensure rapid and accurate diagnostics. …”
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An Online Estimating Framework for Ankle Actively Exerted Torque Under Multi-DOF Coupled Dynamic Motions via sEMG by Yu Zhou, Jianfeng Li, Shiping Zuo, Jie Zhang, Mingjie Dong, Zhongbo Sun

“…The musculoskeletal dynamic decoupling model combines anatomical and biomechanical features, enabling parameters derived from a single DOF pre-experiment through identification-calibration strategy to be applicable in multi-DOF dynamic motion. To evaluate the estimation performance of the framework, experiments were conducted in various directions involving both single and multiple DOFs. …”
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Comprehensive analysis of drilling responses in additively manufactured PLA using a regression—based statistical learning approach by Vishwadarshan, Gauthami Shetty, Raviraj Shetty, Supriya J P, Balaji V, Adithya Hegde

“…The regression coefficients from response surface methodology suggest a predictive equation for the delamination factor, demonstrating an average prediction error of 3.17%. These findings contribute to enhanced understanding and optimization of drilling processes in 3D-printed PLA components, paving the way for improved quality and efficiency in manufacturing applications.…”
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Bridge Deformation Prediction Using KCC-LSTM With InSAR Time Series Data by Zechao Bai, Chang Shen, Yanping Wang, Yun Lin, Yang Li, Wenjie Shen

“…Our results demonstrate that compared to standard LSTM, the proposed approach reduces root mean square error of Bridge 1 from 3.6 to 0.5 mm and Bridge 2 from 3.6 to 1.3 mm, improving prediction accuracy. …”
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Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory by Mumtaz Ali, Jesu Vedha Nayahi, Erfan Abdi, Mohammad Ali Ghorbani, Farzan Mohajeri, Aitazaz Ahsan Farooque, Salman Alamery

“…Predicting daily reference evapotranspiration (ETo) plays a significant role in numerous environmental and agricultural applications. It aids in optimizing agricultural practices, enhancing drought resilience, supporting environmental conservation efforts, and providing critical data for research. …”
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Modeling and Simulation of Automotive FMCW RADAR Sensor for Environmental Perception by Arsalan Haider, Abdulkadir Eryildirim, Marcell Pigniczki, Lukas Haas, Birgit Schlager, Thomas Zeh, David Nickel, Alexander W. Koch

“…The mean absolute percentage error (MAPE) metric is used to quantify the difference between the simulation and real sensor measurements. …”
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A Comprehensive Performance Comparison of DFT-S DMT and QAM-DMT in UOWC System in Different Water Environments by Ji Du, Xiaojian Hong, Yuan Wang, Zhanpeng Xu, Wenyi Zhao, Nanfei Lv, Chao Fei, Sailing He

“…Aimed at high-speed deep ocean applications, the studies are promising for future UOWC research.…”
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Multi-Index Assessment and Machine Learning Integration for Drought Monitoring Using Google Earth Engine by Xulong Duan, Rana Waqar Aslam, Syed Ali Asad Naqvi, Dmitry E. Kucher, Zohaib Afzal, Danish Raza, Rana Muhammad Zulqarnain, Yahia Said

“…The framework’s AI-driven error correction and multisensor synergy provide a scalable model for drought applications, such as ecosystem resilience monitoring (integrating thermal and optical analysis) and hydrological modelling (fusing soil moisture, precipitation, and vegetation datasets). …”
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Scalable estimation of speciated volatile organic compound composition in the upstream natural gas sector by Sebastian T Rowland, Jeremy K Domen, Jasmine Lee, Quintin Munoz, Jessie M Jaeger, Sofia Bisogno, Chowdhury Moniruzzaman, Nick Heath, Christos Efstathiou, Seth B C Shonkoff, Lee Ann L Hill, Kelsey R Bilsback

“…To address this gap, we compiled 4,525 non-flash and 3,487 flash upstream gas composition analyses from air permit applications spanning 11 of the top natural gas-producing states; the sampled facilities represent 46% of reported upstream methane emissions. …”
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Handling of missing component information for common composite score outcomes used in axial spondyloarthritis research when complete-case analysis is unbiased by Christos Polysopoulos, Stylianos Georgiadis, Lykke Midtbøll Ørnbjerg, Almut Scherer, Daniela Di Giuseppe, Merete Lund Hetland, Michael John Nissen, Gareth T. Jones, Bente Glintborg, Anne Gitte Loft, Johan Karlsson Wallman, Karel Pavelka, Jakub Závada, Ayten Yazici, Maria José Santos, Adrian Ciurea, Burkhard Möller, Brigitte Michelsen, Pawel Mielnik, Johanna Huhtakangas, Heikki Relas, Katja Perdan Pirkmajer, Ziga Rotar, Ross MacDonald, Bjorn Gudbjornsson, Irene van der Horst-Bruinsma, Marleen van de Sande, Myriam Riek

“…Trial registration Not applicable as study uses data from patient registries.…”
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Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal by Pragati Tripathi, M. A. Ansari, Tapan Kumar Gandhi, Rajat Mehrotra, Md Belal Bin Heyat, Faijan Akhtar, Chiagoziem C. Ukwuoma, Abdullah Y. Muaad, Yasser M. Kadah, Mugahed A. Al-Antari, Jian Ping Li

“…In the future, the proposed hybrid AI approach could be applicable for mobile observation schemes to automatically detect insomnia disorders.…”
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medAL-suite: A software solution for creating and deploying complex clinical decision support algorithms by Ludovico Gennaro Cobuccio, Vincent Faivre, Rainer Tan, Alan Vonlanthen, Fenella Beynon, Emmanuel Barchichat, Alain Fresco, Quentin Girard, Sinan Ucak, Sylvain Schaufelberger, Ibrahim Evans Mtebene, Peter Agrea, Emmanuel Kalisa, Gillian A. Levine, Martin Norris, Sabine Renggli, Alix Miauton, Lisa Cleveley, Kristina Keitel, Julien Thabard, Valérie D’Acremont, Alexandra V. Kulinkina

“…Clinical trial number Not applicable.…”
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FpRS-Additive Cyclic Codes are Asymptotically Good by Bhanu Pratap Yadav

“…The relative minimum distance of codes is used to measure error-correcting capacity, while the rate of codes is used to quantify the ratio of a family of codes’ information coordinates to all available coordinates. …”
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