A decision support process for the selection of sustainable public ICT project investments by Muhammed Rasit Ozdas, Ozel Sebetci, Tamer Eren, Hadi Gokcen

“…This paper aims to fill this gap by presenting a process methodology and a set of criteria for evaluating and prioritizing public sector ICT projects. …”
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“Diwan”: Constructing the Largest Annotated Corpus for Arabic Poetry by Badriyya B. Al-Onazi, Wadee A. Nashir, Asma A. Al-Shargabi

“…Currently available poetry corpora are often limited in scope and depth, and typically lack the comprehensive coverage required for sophisticated computational analysis tasks. To address this gap, this paper introduces “Diwan,” the largest and most precise annotated Arabic poetry dataset/corpus, designed to support scientific research and facilitate the development of AI applications in this domain. …”
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Fabrication Process Stochastic Model for Yield Estimation in Microwave Semiconductor Devices Production by Bartlomiej K. Paszkiewicz, Bogdan Paszkiewicz, Andrzej Dziedzic

“…Fabrication of AlGaN/GaN HEMTs is a complex process due to the large number of technological stages required, most of which are still the subject of ongoing research. …”
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Evaluating the online and offline learning effectiveness in Bangladesh using Analytic Hierarchy Process by Syeda Sharaban Tahura, Md. Abdus Shabur, Tasnuva Jahan Nuva

“…For offline learning, "Cost and Time" and "Flexibility" emerged as the most critical, highlighting financial constraints and rigid schedules. …”
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The Importance of Physiochemical Processes in Decarbonisation Technology Applications Utilizing the Subsurface: A Review by Ieva Kaminskaite, Sandra Piazolo, Andy R. Emery, Nicholas Shaw, Quentin J. Fisher

“…We particularly focus on processes occurring within the lithologies most commonly considered for decarbonisation technologies. …”
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A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes by Cosmina-Mihaela Rosca, Adrian Stancu

“…Thus, this paper identifies gaps in the current research, discusses ML algorithms in the context of optimizing wind energy production processes, and identifies future directions for increasing the efficiency of wind turbines through integrated predictive methods.…”
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A Pellet 3D Printer: Device Design and Process Parameters Optimization by Shiyi Liu, Peng Zhao, Senyang Wu, Chengqian Zhang, Jianzhong Fu, Zichen Chen

“…The optimal parameters were, a stepper motor speed of 1.256 mm3 s−1, a nozzle moving speed of 9.6 mm s−1, and 1.1 mm of height between the nozzle and the platform. Defects like gaps, warping, and poor surface quality were found to be related to different combinations of process parameters. …”
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Edible indigenous fruits in Zimbabwe: A review on the post-harvest handling, processing, and commercial value by Patience Nemapare, Tendekayi H. Gadaga, Desmond T. Mugadza

“…Indigenous fruits are considered to be part of the diet mostly by people in rural communities of Zimbabwe, but they are still being underutilized. …”
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Electrohydroimpulse method of extracting bone grease by B.R. Nussupbekov, G.T. Kartbaeva, M. Stoev, A.K. Khassenov, D.Zh. Karabekova, А.K. Muratova

“… The extraction of fat is the most important stage of the technological process of production of animal fats. …”
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DNA Barcoding of the Genus <i>Discogobio</i> (Teleostei, Cyprinidae) in China by Hongmei Li, Huan Cheng, Renrong Huang, Zhenya Qiu, Renyi Zhang

“…Five different species definition methods, Automatic Barcode Gap Discovery (ABGD), Assemble Species by Automatic Partitioning (ASAP), Bayesian Poisson Tree Process (bPTP), Generalized Mixed Yule Combination (GMYC), and Refined Single Linkage (RESL), were used to infer molecular operational taxonomic units (MOTU). …”
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ARHGAP25: a novel player in the Pathomechanism of allergic contact hypersensitivity by Domonkos Czárán, Péter Sasvári, Kende Lőrincz, Krisztina Ella, Virág Gellén, Roland Csépányi-Kömi

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Artificial neural networks applied to photo-Fenton process: An innovative approach to wastewater treatment by Davide Palma, Kevin U. Antela, Alessandra Bianco Prevot, M. Luisa Cervera, Angel Morales-Rubio, Roberto Sáez-Hernández

“…Despite the high novelty and recent surge of interest in this area, a comprehensive synthesis of existing literature on AI applications in the photo-Fenton process is lacking. This review aims to bridge this gap by providing an in-depth summary of the state-of-the-art use of artificial neural networks (ANN) in the photo-Fenton process, with the goal of aiding researchers in the water treatment field to identify the most crucial and relevant variables. …”
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Applying the Analytic Hierarchy Process (AHP) to Accessible Housing: A Multi-Disability Perspective by Claudia Valderrama-Ulloa, Ximena Ferrada, Felipe Herrera

“…By highlighting needs, it bridges the gap between generic accessibility standards and design. …”
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Exploring the diverse nature of business processes in organisations in Industry 4.0/5.0 by Marek Szelągowski, Justyna Berniak-Woźny, Piotr Sliż, Natalia Potoczek, Aneta Napieraj, Marta Podobińska-Staniec, Piotr Senkus

“…The study combines a systematic literature review based on the SCOPUS database and a survey of 466 respondents with an analysis of 12,573 processes. Filling the cognitive gap in Industry 4.0/5.0 organisations, the study reveals that nearly 60% of all BPs are semi-structured processes. …”
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Defining the transition from new to normal: a qualitative investigation of the clinical change process by Santana R. Silver, Kayla Christine Jones, Kimberly Hook, Erika L. Crable, Emily R. George, Janet R. Serwint, Kirsten Austad, Allan Walkey, Mari-Lynn Drainoni

“…To address this gap, this study qualitatively explores how, when, and why a clinical practice change becomes normalized within healthcare organizations. …”
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Data-driven price trends prediction of Ethereum: A hybrid machine learning and signal processing approach by Ebenezer Fiifi Emire Atta Mills, Yuexin Liao, Zihui Deng

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Characteristics of landslide movement and dynamic processes in Hongyacun landslide cluster, Qinghai Province, China by Gang Wei, Gang Wei, Zejun Xia, Zejun Xia, Jinkai Yan, Bin Li, Bin Li, Bin Li, Xinning Wu, Xinning Wu

“…The research provides insights into flow-slide dynamics under rainfall conditions, addressing a key gap in hazard assessment methodologies for analogous landslide-prone regions. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…However, automatization using machine learning for big Earth data processing provides the speed and accurate processing of multisource massive datasets. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…However, automatization using machine learning for big Earth data processing provides the speed and accurate processing of multisource massive datasets. …”
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Experimental Evidence of the Prejudice and Discrimination That Exists Towards Tattooed People in Some Hiring Processes by Steven Arnocky, Adam C. Davis, Gianni Chaput

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