An efficient method for solving Schlömilch-type integral equations by Ahmet Altürk

“…Schlömilch integral equations have many applications in terrestrial physics and serve as useful tools for various ionospheric problems. Recently, researchers have investigated Schlömilch-type integral equations. …”
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Artificial intelligence-enabled non-invasive ubiquitous anemia screening: The HEMO-AI pilot study on pediatric population by Daniel Gordon, Jason Hoffman, Keren Gamrasni, Yotam Barlev, Alex Levine, Tamar Landau, Ronen Shpiegel, Avishai Lahad, Ariel Koren, Carina Levin, Osnat Naor, Hannah Lee, Xin Liu, Shwetak Patel, Gilad Chayen, Michael Brandwein

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Urban Tree Canopy Mapping and Analysis Using Iterative Annotation Method and Deep Learning: A Case Study in Beijing by Yulong Ding, Ximin Cui, Zhengchao Chen, Zeqing Wang, Debao Yuan, Xiang Meng, Xuan Yang, Yue Xu, Xiangyu Tian

“…However, existing studies primarily rely on medium-resolution to low-resolution imagery for large-scale extraction or high-resolution imagery for small-scale extraction, making it challenging to balance spatial coverage and accuracy. To comprehensively analyze the tree canopy characteristics of urban trees across large areas, this study selects Beijing as the research area, and employs high-resolution remote sensing imagery with deep learning techniques to construct the UTC map of Beijing. …”
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EPIGENETIC REGULATION OF GENE EXPRESSION IN HEAD AND NECK SQUAMOUS CELL CARCINOMA: THERAPEUTIC PERSPECTIVES by R. B. Samsonov, Z. A. Radzhabova, Yu. V. Cheburkin, V. A. Klyuge, E. V. Tkachenko, A. V. Malek

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Artificial Intelligence in Education: Global Trends, Clusters, and Perspectives by Cristina Barbu, Corina Sbughea

“…The findings underscore the prominence of adaptive and personalized learning systems as crucial areas of research focus, while also highlighting a growing concern regarding ethical issues such as algorithmic bias and accessibility. …”
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“The Million-Euro Answer”: Party Youth Wings’ Views on the Opportunities and Challenges of Political Communication on Social Media by Sara Machado, Vasco Ribeiro, Raquel Meneses

“…Although social media is the main communication channel with young people, offering more reach, flexibility, and feedback opportunities, several challenges limit the effectiveness of communication: resources, algorithms, audience fragmentation, selection effects, simplification of complexity, and the irreplaceability of face-to-face contact. …”
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Enhancing Transpiration Estimates: A Novel Approach Using SIF Partitioning and the TL-LUE Model by Tewekel Melese Gemechu, Baozhang Chen, Huifang Zhang, Junjun Fang, Adil Dilawar

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Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting by Joseline Sánchez-Solís, Marvin Coto-Jiménez

“…This discrimination is a first task in the exploration of a large corpus, to determine whether or not the available information is useful for particular research areas. The main contribution of this exploratory work is the general procedure and selection of algorithms for the Costa Rican radio corpus, which can lead to the extensive use of this source of data in many own applications and systems. …”
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Approaches for treating neuropsychiatric symptoms in Parkinson’s disease: a narrative review by Jon Rodríguez-Antigüedad, Gonzalo Olmedo-Saura, Javier Pagonabarraga, Saül Martínez-Horta, Jaime Kulisevsky

“…However, there are still substantial gaps in therapeutic approaches and algorithms, with limited pharmacological and nonpharmacological treatment options currently available. …”
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USE OF GEOINFORMATION TECHNOLOGIES IN AN GEOECOLOGICAL EVALUATION FOR SUSTAINABLE DEVELOPMENT OF NATURAL AND TECHNOGENIC COMPLEXES by N. O. Guseynova

“…Created digital environmental databases. Main conclusions. The developed techniques and algorithms of creation of a database and thematic digital vector maps and use of geoinformation technologies in ecological researches can be recommended as basic at similar researches both in territories of the cities of the Republic of Dagestan, and after the corresponding adjustment and completion when studying natural landscapes…”
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Confidence Intervals for the Long-Term Noise Indicators Using the Kernel Density Estimator by Bartłomiej STĘPIEŃ

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Considering the effect of non-landslide sample selection on landslide susceptibility assessment by Youchen Zhu, Deliang Sun, Haijia Wen, Qiang Zhang, Qin Ji, Changming Li, Pinggen Zhou, Jianjun Zhao

“…Based on the SHapley Additive explanation (SHAP), the main variables impacting landslide danger in the research area were elevation, NDVI, and peak seismic acceleration. …”
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A Systematic Search of Distant Superclusters with the Subaru Hyper Suprime-Cam Survey by Tsung-Chi Chen, Yen-Ting Lin, Hsi-Yu Schive, Masamune Oguri, Kai-Feng Chen, Nobuhiro Okabe, Sadman Ali, Connor Bottrell, Roohi Dalal, Yusei Koyama, Rogério Monteiro-Oliveira, Rhythm Shimakawa, Tomotsugu Goto, Bau-Ching Hsieh, Tadayuki Kodama, Atsushi J. Nishizawa

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Results of a non-interventional multicenter observational study on the diagnosis and treatment of patients with axial psoriatic arthritis in rea-world clinical practice in the Russ... by T. V. Korotaeva, E. E. Gubar, E. Yu. Loginova, Yu. L. Korsakova, E. A. Vasilenko, I.-D. Yu. Ilyevsky, L. V. Ivanova, E. Yu. Akulinushkina, P. А. Shesternya, O. V. Matveychuk, Yu. Yu. Grabovetskaya, A. A. Barakat, M. A. Korolev, E. V. Zonova, O. A. Georginova, I. V. Kolotilina, I. M. Marusenko, I. B. Vinogradova, O. B. Nesmeyanova, N. E. Grigoriadi, A. V. Petrov, D. G. Krechikova, T. V. Kropotina, S. P. Yakupova, V. I. Mazurov

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Artificial Empathy and Imprecise Communication in a Multi-Agent System by Joanna Siwek, Konrad Pierzyński, Przemysław Siwek, Adrian Wójcik, Patryk Żywica

“…Future research focus on implementing the model on physical platform and optimize the artificial empathy algorithms in the decision-making module.…”
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Development and Validation of a Questionnaire for the Assessment of Diabetic Peripheral Neuropathy: Implications for Clinical Practice in Physical Therapy and Patient Management by Constantin CIUCUREL, Mariana TUDOR, Elena Ioana ICONARU

“…Conclusions: The development and validation of the QAIDPN enhance clinical research and practice by providing a reliable method for evaluating DPN and serving as a foundation for creating targeted physical therapy algorithms aimed at improving patient outcomes.…”
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How news media frame data risks in their coverage of big data and AI by Dennis Nguyen

“…The present study addresses this research gap and introduces the concept of “data risks”. …”
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Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches by Haiyang Zhang, Shuo Wu, Lehan Yang, Chengjing Fan, Huifang Chen, Hui Wang, Tianyi Zhu, Yinwei Li, Jing Sun, Xuefei Song, Huifang Zhou, Terry J Smith, Xianqun Fan

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Face Anti-Spoofing Based on Deep Learning: A Comprehensive Survey by Huifen Xing, Siok Yee Tan, Faizan Qamar, Yuqing Jiao

“…Next, it introduces popular datasets used in FAS research and highlights their characteristics. Finally, it summarizes the current research challenges and future directions for FAS, such as its limited generalization for unknown attacks, the insufficient multi-modal research, the spatiotemporal efficiency of algorithms, and unified detection for presentation attacks and deepfakes. …”
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Combining Terrestrial Laser Scanning and Drone-Based Photogrammetry towards Improving Volume Calculations in Construction Projects by Sharafaddin Th. Muhammed, Fanar M. Abed

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