Machine and deep learning performance in out-of-distribution regressions by Assaf Shmuel, Oren Glickman, Teddy Lazebnik

“…In this study, we evaluate the performance of various ML and DL models in in-distribution (ID) versus OOD prediction. …”
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Unearthing the determinants of digital innovation adoption in the agricultural sector: The role of food security awareness and agricultural experience by David Aboagye-Darko, Peter Mkhize

“…Extant research has widely acknowledged the role of digital innovation as a facilitator of digital transformation, presenting solutions for various challenges in various industries. However, prior research demonstrates inadequate discussions on the determinants of digital innovation adoption for digital transformation in developing countries, particularly in the agricultural sector. …”
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Potential for Rehabilitation Management Utilizing A Theory of Planned Behavior Approach Via Telehealth in Home Treatment-Based Diabetes Management: A Literature Review by Fahmi Wildana, Lutfian, Aufa Azizah, Essarani Oktaviana

“…A comprehensive literature search was conducted across various databases, including Google Scholar, Science Direct, PubMed, and ProQuest. …”
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Privacy leakage risk assessment for reversible neural network by Yifan HE, Jie ZHANG, Weiming ZHANG, Nenghai YU

“…In recent years, deep learning has emerged as a crucial technology in various fields.However, the training process of deep learning models often requires a substantial amount of data, which may contain private and sensitive information such as personal identities and financial or medical details.Consequently, research on the privacy risk associated with artificial intelligence models has garnered significant attention in academia.However, privacy research in deep learning models has mainly focused on traditional neural networks, with limited exploration of emerging networks like reversible networks.Reversible neural networks have a distinct structure where the upper information input can be directly obtained from the lower output.Intuitively, this structure retains more information about the training data, potentially resulting in a higher risk of privacy leakage compared to traditional networks.Therefore, the privacy of reversible networks was discussed from two aspects: data privacy leakage and model function privacy leakage.The risk assessment strategy was applied to reversible networks.Two classical reversible networks were selected, namely RevNet and i-RevNet.And four attack methods were used accordingly, namely membership inference attack, model inversion attack, attribute inference attack, and model extraction attack, to analyze privacy leakage.The experimental results demonstrate that reversible networks exhibit more serious privacy risks than traditional neural networks when subjected to membership inference attacks, model inversion attacks, and attribute inference attacks.And reversible networks have similar privacy risks to traditional neural networks when subjected to model extraction attack.Considering the increasing popularity of reversible neural networks in various tasks, including those involving sensitive data, it becomes imperative to address these privacy risks.Based on the analysis of the experimental results, potential solutions were proposed which can be applied to the development of reversible networks in the future.…”
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M2 Macrophages Mediate the Resistance of Gastric Adenocarcinoma Cells to 5-Fluorouracil through the Expression of Integrin β3, Focal Adhesion Kinase, and Cofilin by Daniel Ngabire, Irvine Niyonizigiye, Maheshkumar Prakash Patil, Yeong-Ae Seong, Yong Bae Seo, Gun-Do Kim

“…Tumor microenvironment components dictate the growth and progression of various cancers. Tumor-associated macrophages are the most predominant cells in TME and play a major role in cancer invasiveness. …”
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Nitrogen Dioxide Monitoring with Satellite Imagery over Ankara, Turkey by Maryam Zare Shahne, Mostafa Jazari, Zahra Amiri

“…Earth observation satellites possess key characteristics such as high temporal and spatial resolution, wide coverage imaging, multispectral capabilities, and access to a rich archive of images through various gateways. This enables the regular and continuous monitoring of phenomena related to various pollutants on a global scale. …”
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Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm by Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar

“…Additionally, it reduced the time it took to train the model of various pre-existing learning algorithms. A dataset was obtained from Alzheimer’s Disease Neurological Initiative (ADNI) and converted from a 4D format to a 2D format. …”
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RFMVDA: An Enhanced Deep Learning Approach for Customer Behavior Classification in E-Commerce Environments by Kwanhee Kim, Mingyu Jo, Ilkyeun Ra, Sangoh Park

“…The RFM (Recency, Frequency, Monetary) model is a straightforward method for classifying customers and is applied across various industries. However, in the e-commerce environment, where customers can access services at any time, there are limitations in collecting, storing, and reflecting customer behavior data for classification. …”
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A Simple Visualization Method for Three-Dimensional (3D) Network by Sangkwon Kim, Chaeyoung Lee, Jintae Park, Sungha Yoon, Yongho Choi, Junseok Kim

“…It is used to describe and interpret datasets in various fields such as social network, biological network, and metabolic regulation network. …”
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Understanding the behavioral intentions of MaaS during public health events by Hang Luo, Hang Luo, Shoufeng Ma, Shoufeng Ma, Junfang Tian, Junfang Tian, Hongming Dong

“…IntroductionMobility as a Service (MaaS) integrates various modes of transportation, provides personalized travel services for travelers, and improves the efficiency of traditional travel modes. …”
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A review of a study on improving the performance of spherical solar stills by Faiz Jodah, Wissam ِAlawee, Hayder Dhahad, Z.M. Omara

“…This article reviews the latest techniques to boost water productivity and improve various solar distiller designs' overall performance and thermal efficiency. …”
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Role of copper homeostasis and cuproptosis in heart failure pathogenesis: implications for therapeutic strategies by Zhichao Liu, Yongkang Gan, Zhen Shen, Siqi Cai, Xizhen Wang, Yong Li, Xiaofeng Li, Huanjie Fu, Jinhong Chen, Ningcen Li

“…Copper is an essential micronutrient involved in various physiological processes in various cell types. …”
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Protocol for differentiating hematopoietic progenitor cells from human pluripotent stem cells in chemically defined monolayer culture by Shaokang Mo, Kengyuan Qu, Jun Shen, Kuangyu Yen

“…We outline steps for evaluating the efficiency of HPC generation and assessing their potential to differentiate into various hematopoietic lineages. This protocol serves as a framework for exploring human hematopoiesis and generating various functional blood cells.For complete details on the use and execution of this protocol, please refer to Shen et al.1 and Qu et al.2 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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Association between meniscal extrusion and disease severity in knee osteoarthritis: a retrospective case-control study by Peng Wu

“…While the predictive value of meniscal extrusion alone was modest (AUC = 0.617), a combined model integrating various parameters yielded a high predictive value for disease progression (AUC = 0.853). …”
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Internalization of Religious Character Values Through Himpunan Putusan Tarjih Muhammadiyah Learning in College Student Boarding School by Abiyyul Ridho, Triono Ali Mustofa

“…Therefore, it is essential to have the role and responsibility of boarding school organizers in overcoming these challenges by developing a comprehensive understanding of religious character, criticism and suggestions for various attitudes and routines of mahasantri, intensive evaluation through an efficient approach, and the role of boarding school with surrounding people in maintaining good relations and striving to increase the success of internalization in various aspects of mahasantri life. …”
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The relevance of the transition to a circular economy for Ukraine by S. Voitko, A. Vyshnevska

“…The article presents an analysis of the pre-war situation with waste management in Ukraine in terms of such indicators as the dynamics of waste generation and the share of its recycling, the number of operating business entities of various sizes in the field of waste processing. In addition, the article highlights the impact of military events on the environmental situation in the country and emphasizes the need for changes to build a sustainable economy, which may be possible through post-war recovery. …”
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INCREASING FITNESS WITH ACUPUNCTURE AND HERBS by Ario Imandiri, Diarista Salfa Pratama, Abdul Rahman

“…Physical predisposition is influenced by various factors and assessed in various ways, one of which is by measuring VO2 max calculated by doing cooper test that is running for 12 minutes on the track 400 meters. …”
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A Survey on Algorithms for Intelligent Computing and Smart City Applications by Zhao Tong, Feng Ye, Ming Yan, Hong Liu, Sunitha Basodi

“…For example, the urban population is under excessive pressure, various natural resources and energy are increasingly scarce, and environmental pollution is increasing, etc. …”
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On the issue of studying Siberian merchant class: the circle of social contacts of gold producer Yakov Frizer by I. Vladimirsky, M. V. Krotova

“…The authors have concluded particular features of Siberian society as a multi-layer society with intersections of various social, ethical and confessional worlds, national and religious tolerance and active social position…”
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Analysis of Electromagnetic and Thermal Processes of an Induction Motor Using 3D Modeling by A. N. Pekhota, V. N. Galushko, B. M. Khrustalev, D. V. Mirosh

“…The cumulative effect of temperature and humidity factors on the insulation service life under various influences of aggressive media has been determined as well. …”
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