From Coarse to Crisp: Enhancing Tree Species Maps with Deep Learning and Satellite Imagery by Taebin Choe, Seungpyo Jeon, Byeongcheol Kim, Seonyoung Park

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Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions by Eva Dorschky, Marlies Nitschke, Matthias Mayer, Ive Weygers, Heiko Gassner, Heiko Gassner, Thomas Seel, Bjoern M. Eskofier, Bjoern M. Eskofier, Anne D. Koelewijn, Anne D. Koelewijn

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The Emotional Style of the Modern Parent in the Conditions of the COVID-19 Pandemic by Veneta Uzunova

“…Conclusions were made regarding the specifics of the emotional style of the parents in the context of the established state of emergency and in connection with pedagogical activities aimed at creating conditions for increasing the emotional intelligence of the respondents with the support of the school.…”
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AMuCS: Affective multimodal Counter-Strike video game dataset by Marios Fanourakis, Guillaume Chanel

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Discernment in Origen of Alexandria by P. B. Decock

“…As such it is able to accept divine guidance from the Holy Spirit and the Logos in order to assess the movements of the soul and to manage these correctly so that the soul may preserve what is good and continue to strive for better things. As the “intelligence” is created after the image of God, the Logos, its fulfilment lies in a cooperative movement with the Logos towards ever greater likeness with God. …”
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The Impact of Biometric Surveillance on Reducing Violent Crime: Strategies for Apprehending Criminals While Protecting the Innocent by Patricia Haley

“…In the rapidly evolving landscape of biometric technologies, integrating artificial intelligence (AI) and predictive analytics offers promising opportunities and significant challenges for law enforcement and violence prevention. …”
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La protection des infrastructures critiques – défis actuels by Dan Fifoiu

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Consumer perspective of omnichannel commerce by Kaczorowska-Spychalska Dominika

“…The evolution of hypermedia space and growing saturation of the market with mobile devices, an increasing role of Big Data, which allow for multidimensional analysis of data from offline and online markets, growing popularization of solutions of Market Intelligence supported by Cloud Computing technology as well as development of potential and opportunities of adapting the Artificial Intelligence (AI) and Internet of Things (IoT) in commerce cause that customers and their experience become a major point of activity of companies/brands. …”
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Dual-Domain Adaptive Synergy GAN for Enhancing Low-Light Underwater Images by Dechuan Kong, Jinglong Mao, Yandi Zhang, Xiaohu Zhao, Yanyan Wang, Shungang Wang

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Innovative Approach to Detecting Autism Spectrum Disorder Using Explainable Features and Smart Web Application by Mohammad Abu Tareq Rony, Fatama Tuz Johora, Nisrean Thalji, Ali Raza, Norma Latif Fitriyani, Muhammad Syafrudin, Seung Won Lee

“…The diversity in symptoms and skill profiles across individuals creates a diagnostic landscape that requires a multifaceted approach for accurate understanding and intervention. …”
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Home-Based Intervention Tool for Cardiac Telerehabilitation: Protocol for a Controlled Trial by Francesca Mastorci, Maria Francesca Lodovica Lazzeri, Lamia Ait-Ali, Paolo Marcheschi, Paola Quadrelli, Massimiliano Mariani, Rafik Margaryan, Wanda Pennè, Marco Savino, Giuseppe Prencipe, Alina Sirbu, Paolo Ferragina, Corrado Priami, Alessandro Tommasi, Cesare Zavattari, Pierluigi Festa, Stefano Dalmiani, Alessandro Pingitore

“…The secondary aims are to implement the system in a “real-life” context of postcardiac surgical rehabilitation, and to create a data set and a data collection methodology to prototype data analytics algorithms and artificial intelligence techniques for customizing the rehabilitation pathway. …”
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The Danish Lymphoid Cancer Research (DALY-CARE) Data Resource: The Basis for Developing Data-Driven Hematology by Brieghel C, Werling M, Frederiksen CM, Parviz M, Lacoppidan T, Faitova T, Teglgaard RS, Vainer N, da Cunha-Bang C, Rotbain EC, Agius R, Niemann CU

“…Christian Brieghel,1,2,* Mikkel Werling,1,2,* Casper Møller Frederiksen,1,2 Mehdi Parviz,1,3 Thomas Lacoppidan,1 Tereza Faitova,1,2 Rebecca Svanberg Teglgaard,1,4 Noomi Vainer,1,2 Caspar da Cunha-Bang,1,2 Emelie Curovic Rotbain,1,2 Rudi Agius,1 Carsten Utoft Niemann1– 3 1Department of Hematology, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark; 2Danish Cancer Institute, Copenhagen, Denmark; 3Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; 4Department of Clinical Immunology, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark*These authors contributed equally to this workCorrespondence: Christian Brieghel, Rigshospitalet, Department of Hematology, Blegdamsvej 9, Building 7054, Copenhagen Ø, 2100, Denmark, Tel +45 35453741, Email christian.brieghel@regionh.dkBackground: Lymphoid-lineage cancers (LC; International Classification of Diseases, 10th edition [ICD10] C81.x-C90.x, C91.1-C91.9, C95.1, C95.7, C95.9, D47.2, D47.9B, and E85.8A) share many epidemiological and clinical features, which favor meta-learning when developing medical artificial intelligence (mAI). However, access to large, shared datasets is largely missing and limits mAI research.Aim: Creating a large-scale data repository for patients with LC to develop data-driven hematology.Methods: We gathered electronic health data and created open-source processing pipelines to create a comprehensive data resource for Danish LC Research (DALY-CARE) approved for epidemiological, molecular, and data-driven research.Results: We included all Danish adults registered with LC diagnoses since 2002 (n=65,774) and combined 10 nationwide registers, electronic health records (EHR), and laboratory data on a high-powered cloud-computer to develop a secure research environment. …”
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Citizen scientists for MoveApps: Innovations and insights from volunteer coders in wildlife conservation by Andrea Kölzsch, Kamran Safi, Margaux M. Armfield, Chloe Beaupre, Emily Bennitt, Matthias Böck, William Brown, Christoph Eichler, Wolfgang Fielder, Clemens Hahn, Varalika Jain, Matthew W. Ketchin, Jed A. Long, Alexander V. Merdian‐Tarko, Lauren Minchin, Tomé Neves deMatos, Ambati Rakesh, Ockert Louis vanSchalkwyk, Martin Wikelski, Anne K. Scharf

“…Utilizing the modular, open‐source analysis platform MoveApps, we were able to engage 12 volunteer coders in a challenge to create tools for movement ecology, aimed at animal conservation. …”
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Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements by Evgenii Kanin, Alsu Garipova, Sergei Boronin, Vladimir Vanovskiy, Albert Vainshtein, Andrey Afanasyev, Andrei Osiptsov, Evgeny Burnaev

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AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis by Christine Jacob, Noé Brasier, Emanuele Laurenzi, Sabina Heuss, Stavroula-Georgia Mougiakakou, Arzu Cöltekin, Marc K Peter

“… BackgroundArtificial intelligence (AI) has the potential to revolutionize health care by enhancing both clinical outcomes and operational efficiency. …”
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The Model of Disengagement of Talent with Meta-synthesis Method by Ali Asghar Mobasheri, Ali Nasr Isfahani, Hadi Teimouri

“…Meta-synthesis is particularly effective for combining scattered findings from previous studies to create new conceptual frameworks. The statistical population for this research consisted of previous studies. …”
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Sistem Identifikasi Penyakit Paru Obstruktif Kronik (PPOK) Berdasarkan Suara Paru-Paru Menggunakan Jaringan Saraf Tiruan Berbasis Raspberry Pi by Lindhu Parang Kusuma, Barlian Henryranu Prasetio, Eko Setiawan

“…The system also uses an artificial intelligence system so that the diagnosis process is faster, precise, and consistent so that it does not depend on the sensitivity of the ear and the doctor's expertise. …”
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SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

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GIQ - Revolutionizing Geospatial Ecosystem Development Through Public-Private Partnerships by S. Al Zeidi, P. Marpu, Y. Tarabalka, M. Balgi

“…The exponential growth of Earth observation (EO) data has created an urgent need for scalable, artificial intelligence (AI)-driven geospatial analytics platforms. …”
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ATTRIBUTION OF MEDIA TEXTS BASED ON A TRAINED NATURAL LANGUAGE MODEL AND LINGUISTIC ASSESSMENT OF IDENTIFICATION QUALITY by Vladimir A. Klyachin, Ekaterina V. Khizhnyakova

“…The goal of our work is to build a model of the language of media messages, assess the quality and identify detection errors caused by the linguistic characteristics of texts. Creating a model of the language of media messages is a condition for increasing the efficiency and quality of artificial intelligence systems. …”
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