ON THE STATE OF LEGAL SUPPORT OF CRYPTOCURRENCIES IN UKRAINE: THROUGH THE PRISM OF FOREIGN EXPERIENCE by V.A. Ustymenko, N.Yu. Polishchuk

“…This article discusses the potential legal classification of Bitcoin and the consequences thereto. …”
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Generative Adversarial Networks (GANs) for Image Augmentation in Farming: A Review by Zahid Ur Rahman, Mohd Shahrimie Mohd Asaari, Haidi Ibrahim, Intan Sorfina Zainal Abidin, Mohamad Khairi Ishak

“…Persistent issues like limited training datasets, occlusion challenges, and imbalanced data hinder model performance across these applications. …”
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FORENSIC-AUDIT AS AN IMPERATIVE OF ECONOMIC SECURITY AND DEVELOPMENT OF THE COMPANY IN THE CONDITIONS OF GLOBAL TRANSFORMATIONS by K. Nazarova, M. Nezhyva, T. Lositska, V. Miniailo, N. Novikova

“…The article is devoted to topical issues of business protection through the prism of forensics (financial investigations). …”
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Visual explanation method for reversible neural networks by Xinying MU, Bingbing SONG, Fanxiao LI, Yisen ZHENG, Wei ZHOU, Yunyun DONG

“…The issue of model explainability has gained significant attention in understanding the vulnerabilities and anonymous decision-making processes inherent in deep neural networks (DNN).While there has been considerable research on explainability for traditional DNN, there is a lack of exploration on the operation mechanism and explainability of reversible neural networks (RevNN).Additionally, the existing explanation methods for traditional DNN are not suitable for RevNN and suffer from issues such as excessive noise and gradient saturation.To address these limitations, a visual explanation method called visual explanation method for reversible neural network (VERN) was proposed for RevNN.VERN leverages the reversible property of RevNN and is based on the class-activation mapping mechanism.The correspondence between the feature map and the input image was explored by VERN, allowing for the mapping of classification weights of regional feature maps to the corresponding regions of the input image.The importance of each region for model decision-making was revealed through this process, which generates a basis for model decision-making.Experimental comparisons with other explanation methods on generalized datasets demonstrate that VERN achieves a more focused visual effect, surpassing suboptimal methods with up to 7.80% improvement in average drop (AD) metrics and up to 6.05% improvement in average increase (AI) metrics in recognition tasks.VERN also exhibits an 82.00% level of localization for the maximum point of the heat value.Furthermore, VERN can be applied to explain traditional DNN and exhibits good scalability, improving the performance of other methods in explaining RevNN.Furthermore, through adversarial attack analysis experiments, it is observed that adversarial attacks alter the decision basis of the model.This is reflected in the misalignment of the model’s attention regions, thereby aiding in the exploration of the operation mechanism of adversarial attacks.…”
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Smart intrusion detection model to identify unknown attacks for improved road safety and management by Faisal Alshammari, Abdullah Alsaleh

“…By addressing critical issues such as class imbalance, adaptability to novel threats and real-time scalability, ACIDS offers a practical solution for securing IoV systems. …”
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Brain computer interface based emotion recognition with error analysis and challenges: an interdisciplinary review by Niharika Gudikandula, Ravichander Janapati, Rakesh Sengupta, Sridhar Chintala

“…We analyze how various factors, such as brain signal variability, EEG noise and artifacts, individual differences in emotional responses, feature extraction methods, and classification algorithms, can introduce errors into the system. …”
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The deleterious effect of WHO grade II diffuse glioma on socioeconomic status as evaluated through occupation by Matthew A. Kirkman, Michael S. C. Thomas, Andrew Tolmie

“…Early tailored and proactive professional support regarding work-related issues is required for this patient group.…”
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Data cleaning and harmonization of clinical trial data: Medication-assisted treatment for opioid use disorder. by Raymond R Balise, Mei-Chen Hu, Anna R Calderon, Gabriel J Odom, Laura Brandt, Sean X Luo, Daniel J Feaster

“…A systematic harmonization of OUD clinical trial data can be accomplished, despite heterogeneous data coding and classification procedures, by standardizing commonly assessed characteristics. …”
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Discrete Wavelet Transform Based Cancelable Biometric System for Speaker Recognition by Basant Abd El-wahab, Heba El-khobby, Mostafa Abd Elnaby, Fathi Abd El-Samie

“…The biometric template characteristics and privacy conquest are challenging issues. To resolve such limitations, the cancelable biometric systems have been briefed. …”
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Integration of SimWeight and Markov Chain to Predict Land Use of Lavasanat Basin by M S. Mirakhorlo, M. Rahimzadegan

“…Production and prediction of land-use/land cover changes (LULCC) map are among the significant issues regarding input of many environmental and hydrological models. …”
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Successful extraction of a large airway foreign body using flexible bronchoscopy and electrocautery snare in a post-COVID-19 patient with difficult airway anatomy: a case report by Yugang Lu, Jiawei Dong, Ye Gu

“…The condition was further complicated by post-COVID-19 respiratory symptoms and challenging airway anatomy, including a short thyromental distance and Mallampati Class IV classification. The patient complained of persistent chest tightness, shortness of breath, and recurrent respiratory issues that persisted after recovering from COVID-19. …”
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Cell Outage Detection and Compensation in Two-Tier Heterogeneous Networks by Wenqian Xue, Hengzhi Zhang, Yong Li, Dong Liang, Mugen Peng

“…One potential solution to address these issues is to introduce the extensively attracted self-organizing network (SON). …”
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Large language models to process, analyze, and synthesize biomedical texts: a scoping review by Simona Emilova Doneva, Sijing Qin, Beate Sick, Tilia Ellendorff, Jean-Philippe Goldman, Gerold Schneider, Benjamin Victor Ineichen

“…Prominent among these tasks are text classification, relation extraction, and named entity recognition. …”
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Case report: Depression in an older patient with dysgeusia as the initial symptom by Longrun Guo, Zhufa He

“…Using the diagnostic criteria of the International Classification of Diseases (10th edition), a diagnosis of a major depressive episode with psychotic symptoms was made. …”
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Ethnomedicinal survey of plants used in home remedies by the local community of the unexplored village Dudday, District Gujrat, Punjab, Pakistan by Khalid Hussain, Iqra Mushtaq, Khalid Nawaz, Tehreem Riaz

“…For botanical nomenclature and classification of plants, Angiosperm Phylogeny Group-IV was used as a reference. …”
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QUANTITATIVE AND QUALITATIVE CHARACTERISTICS OF FIVE (5) ORIGINS OF MORINGA OLEIFERA FROM NIGER by Rabo Younoussou*, Abatcha Moustapha Yakaka*, Mahamane Ali**

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A Review of Artificial Intelligence (AI) in Education from 2010 to 2020 by Xuesong Zhai, Xiaoyan Chu, Ching Sing Chai, Morris Siu Yung Jong, Andreja Istenic, Michael Spector, Jia-Bao Liu, Jing Yuan, Yan Li

“…The content analysis showed that the research questions could be classified into development layer (classification, matching, recommendation, and deep learning), application layer (feedback, reasoning, and adaptive learning), and integration layer (affection computing, role-playing, immersive learning, and gamification). …”
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ABDOMINAL AORTIC ANEURISM REPAIR IN PATIENTS WITH FUSED KIDNEY by A. E. Zotikov, V. N. Gontarenko, A. S. Ivandayev, V. N. Tsygankov, A. S. Kutovaya

“…The article highlights the historical aspects of the study of this group of patients, presents the classification, the features of surgical access, the advantages and disadvantages of each of them, the experience presented in the world literature, as well as the authors’ own experience in carrying out such operations for 30 years in the walls of the A.V. …”
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Shifting the Paradigm by Fabrizio Speziale

“…It looks at the epistemic and the practical issues raised in the preface of the Ma‘dan al-šifā’, which directly questions the adequacy of how Greco-Arabic thought understood body temperament in the Indian environment. …”
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DAM-Faster RCNN: few-shot defect detection method for wood based on dual attention mechanism by Xingyu Tong, Zhihong Liang, Mingming Qin, Fangrong Liu, Jiayu Yang, Hengjiang Xiao, Wei Dai

“…To address the above issues, this paper proposes an improved Faster RCNN model based on a dual attention mechanism (DAM). …”
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