Association prediction of lncRNAs and diseases using multiview graph convolution neural network by Wei Zhang, Yifu Zeng, Xiaowen Xiang, Bihai Zhao, Sai Hu, Limiao Li, Xiaoyu Zhu, Lei Wang

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Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks by ZhiGuo Zhu

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Return of the Eurasian lynx: using local stakeholder knowledge and experiences to inform lynx conservation in the French Alps by Justine Shanti Alexander, Philippe Christe, Fridolin Zimmermann

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Mapping global yields of four major crops at 5-minute resolution from 1982 to 2015 using multi-source data and machine learning by Juan Cao, Zhao Zhang, Xiangzhong Luo, Yuchuan Luo, Jialu Xu, Jun Xie, Jichong Han, Fulu Tao

“…We developed three machine learning (ML) models for each country and crop, using crop statistics from approximately 12,000 administrative units, along with satellite data, climate variables, soil properties, agricultural practices, and climate modes. …”
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Multipoint Observations and Modeling of the 2021 November 4 Forbush Decrease Using Solar Orbiter, CSES-01, and Ground-based Neutron Monitor Data by Simone Benella, Monica Laurenza, Matteo Martucci, David Ruffolo, Qiang Hu, Georgios Nicolaou, Christopher J. Owen, Mirko Stumpo, Christina Plainaki, Francesco Palma, Mirko Piersanti, Matteo Sorbara, Alessandro Sotgiu, Roberta Sparvoli

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3D IntelliGenes: AI/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization by Rishabh Narayanan, Elizabeth Peker, William DeGroat, Dinesh Mendhe, Saman Zeeshan, Zeeshan Ahmed

“…We present an advanced version of our earlier published software with intuitive and interactive visualizations of multi-omics data in multi-dimensions i.e., 3D IntelliGenes, which offers deeper insights, most importantly by capturing greater variability in the patient data by understanding both linear and non-linear structures, evaluating AI/ML model performance, and delineating the joint impact of biomarkers on the corresponding disease states. …”
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Towards automated and real-time multi-object detection of anguilliform fishes from sonar data using YOLOv8 deep learning algorithm by Tao Huang, Xiaoqin Zang, Grigoriy Kondyukov, Zhangshuan Hou, Guanze Peng, Joachim Pander, Josef Knott, Juergen Geist, Meklit Berihun Melesse, Paul Jacobson, Zhiqun Daniel Deng

“…Leveraging imaging sonar as a reliable technology for fish passage monitoring in dark, turbid and high-flow environments, field data are acquired using imaging sonar and then converted to single sonar frames/images for subsequent analysis. …”
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Downscaling and Gap-Filling GRACE-Based Terrestrial Water Storage Anomalies in the Qinghai–Tibet Plateau Using Deep Learning and Multi-Source Data by Jun Chen, Linsong Wang, Chao Chen, Zhenran Peng

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Modeling the Effects of Extreme Temperatures on the Infection Rate of <i>Botrytis cinerea</i> Using Historical Climate Data (1951–2023) of Central Chile by William Campillay-Llanos, Samuel Ortega-Farías, Patricio González-Colville, Gonzalo A. Díaz, Marlon M. López-Flores, Rafael López-Olivari

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Increasing Student's Hots Using Mobile Technology and Scaffolding Approach on Sound Wave Material by R N Tuada, S Suparno

“…This study aims to determine the effectiveness of using Android-based interactive physics learning media with a scaffolding approach on Sound Wave material to increasing higher order thinking skills. …”
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Prevalence of Psychiatric and Addictive Disorders in Patients with Psoriasis: A Cross-Sectional Study by Daciana Elena Brănișteanu, Roxana Paraschiva Ciobanu, Daniel Constantin Branisteanu, Cristina Colac-Boțoc, Antonia-Elena Huțanu, Cătălina-Anca Munteanu, Rares Stamate, George Brănișteanu, Catalina Ioana Onu-Branisteanu, Mihaela Paula Toader, Elena Porumb-Andrese

“…<b data-eusoft-scrollable-element="1">Background/Objectives:</b> Psoriasis is a chronic inflammatory skin disease increasingly linked to psychiatric and behavioral comorbidities, including depression, anxiety, and substance use disorders. …”
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Choosing Statistical Models to Assess Biological Interaction as a Departure from Additivity of Effects by Daniel Zhao, David M. Thompson

“…This paper compares three statistical models’ assessment of a data example that appears in several epidemiology textbooks to illustrate biological interaction in a binomial outcome. …”
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Infrastructure is not enough: Interactions between the environment, socioeconomic disadvantage, and cycling participation in England by Eugeni Vidal Tortosa, Robin Lovelace, Eva Heinen, Richard P. Mann

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The Interaction of Digital Technology and Literacy Practices in Nuosu Script, China by Walters, Susan

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THE ANALYSIS OF DEIXIS AND IMPLICATURE IN TEACHER-STUDENT INTERACTION IN ENGLISH CLASSES by Riska Amalia, Leny Saili Rahmah, Wahyu Satya Gumelar

“…Data were collected at SMKN 9 Bandung through interviews, audio recordings, and observations using a qualitative methodology. …”
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Minimal metabolic pathway structure is consistent with associated biomolecular interactions by Aarash Bordbar, Harish Nagarajan, Nathan E Lewis, Haythem Latif, Ali Ebrahim, Stephen Federowicz, Jan Schellenberger, Bernhard O Palsson

“…Instead, these minimal pathways better describe multiple independent pathway‐associated biomolecular interaction datasets suggesting a functional organization for metabolism based on parsimonious use of cellular components. …”
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INTELLECTUAL MECHATRONIC SYSTEMS WITH REMOTE COMPONENT INTERACTION: STRUCTURE AND FUNCTIONS by A. V. Gulay, V. М. Zaytsev

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Enhancing Arabic Language Proficiency through Interactive Learning Programs by Achmad Makki Lazuardi, Syarif Muhammad Syaheed

“…Interactive strategies—including role-plays, peer collaboration, muhawarah simulations, and gamified digital tools—were implemented to foster active engagement and contextual language use. …”
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Development of Interactive Learning on Electric Charge Materials for Deaf Students by I Y Nurkholifah, B N Mindyarto, B Astuti

“…The effectiveness data were analyzed using effect size and obtained a score of 2.16 on a small scale and 2.09 on a wide scale in the large category. …”
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Interactive Visualization of the Printed Circuits Tracing Algorithms for Educational Purposes by D. O. Petrov

“…A software module that allows interactive demonstration of maze routing algorithms for tracing printed conductors, which, during their operation, use a grid representation of a discrete working space of a printed circuit board has been developed. …”
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