Enhancing Agricultural Disease Detection: A Multi‐Model Deep Learning Novel Approach by Muhammad Khalid Hamid, Said Khalid Shah, Ghassan Husnain, Yazeed Yasin Ghadi, Shahab Ahmad Al Maaytah, Ayman Qahmash

“…These crops are widely grown and crucial for food security, with disease outbreaks threatening yield and quality. …”
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Sociological approach in managing high school violence in Serbia in the COVID - 19 postpandemic period by Milosavljević-Stević Milena, Radosavljević Života, Anđelković Aleksandar

“…Precise analyses indicate that contemporary society views this issue from the perspectives of security and rights, emphasizing preventive action and the sanctioning of perpetrators. …”
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NEW «PARASITIC CLASS»: ON THE CONCEPT OF MIKHAIL VOSLENSKY by Сергій САВЧЕНКО, Катерина ПРОКОФ’ЄВА, Оксана РЕШЕТІЛОВА

“…Particular attention is paid to the subordination of the security forces to party control through mechanisms of the Central Committee, which minimized risks to the nomenklatura system. …”
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Combined application of vermicompost and mineral K fertilizer improves root yield of sweet potato [Ipomoea batatas (L.) Lam] in Southern Ethiopia by Alemu Degwale, Geletaw Kebede, Ashenafi Woldeselassie, Fanuel Laekemariam

“…Eventually, this has led to a decline in food security. Although the rate depends on many factors, organic inputs such as vermicomposts are suggested as alternatives or combined with mineral fertilizers. …”
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Healthcare assessment tools—a valid source of data for pre-hospital care? Usability for ensuring medical care in the event of a disaster by Robert Konrad, Robert Konrad, Denise Schuster, HJ Heppner, HJ Heppner

“…Currently, only the German Armed Forces (Bundeswehr) offer an internally secured infrastructure that allows all those involved in the care of soldiers to access all important medical data quickly and easily from any location.…”
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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…The experiment is performed and implemented in Microsoft’s Azure cloud, using Azure Machine Learning service, that leverages the advantages of cloud computing with respect to scalability, security and its potential integration possibilities into IoT-based smart healthcare systems.This aspect highlights its versatility and impact with respect to remote monitoring of patients as well. …”
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Venezuela: Political Confrontation and the World Community by Z. W. Iwanowski, D. M. Rozental

“…The inability or unwillingness of external forces to reach compromise and to bring the parties to the negotiating table can pose a threat to peace and international security.As a result, Venezuela has become one of the most turbulent countries in the region. …”
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Production Data Analysis and Practical Applications in the Sulige Tight Gas Reservoir, Ordos Basin, China by Minhua Cheng, Wen Xue, Meng Zhao, Guoting Wang, Bo Ning, Guang Ji, Lihua Cheng, Yingying Tian

“…Successful exploitation of tight sandstone gas is one of the important means to ensure the “increasing reserves and production” of the oil and gas initiative and also one of the important ways to ensure national energy security. To further improve the accuracy of historical matching of field data such as gas production and bottom-hole pressure during the production process of this type of gas reservoir, in this study, a new expression of wellbore pressure for the uniform flow of vertical fractured wells in Laplace space based on the point sink function model of vertical fractures in tight sandstone gas reservoirs is constructed. …”
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The Impact of Digitization on Legal Systems in Developing Countries by Ikhtiyor Djuraev, Azim Baratov, Shokhjakhon Khujayev, Iroda Yakubova, Mokhichekhra Rakhmonova, Bobur Mukumov, Nodirakhon Abdurakhmanova

“…The study identifies blockchain as a critical tool for ensuring the integrity and security of legal records, providing tamper-proof documentation, and fostering trust in legal processes. …”
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Machine Learning-Based Detection of Anomalies, Intrusions, and Threats in Industrial Control Systems by Denis Benka, Dusan Horvath, Lukas Spendla, Gabriel Gaspar, Maximilian Stremy

“…Advanced preventive measures are necessary because, despite their significance, many ICS continue to rely on outdated technologies with few security features. This paper proposes a machine learning (ML)-based approach to anomaly detection in ICS communication networks, focusing on techniques such as 1D Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, Support Vector Machines (SVMs), and Isolation Forest (iForest) algorithms. …”
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The Centrality of Prosocial Values in Work Motivation among Public and Private Sector Employees by Egle Vaidelytė, Vaidas Morkevičius, Egle Butkevičienė, Michiel de Vries

“…Significance: This research also shows that differences between employees adhering to intrinsic, extrinsic, and prosocial motivations are relative, as almost all employees – irrespective of where they work – assess values of job security and having an interesting job to be the most important work motivators. …”
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Information: on the question as for the meaningful evolution of the term by O. S. Bakumov, M. I. Marchuk, T. I. Gudz, О. О. Venglinskyi

“…The urgency and importance of studying the issue of information in our country is emphasized given that Ukraine is in a state of constant information war with the Russian Federation, which is quite active and aggressive in using information as a weapon of mass destruction against the territorial integrity and state security of Ukraine. The basic approaches to understanding of this term taking into account branch delimitation of scientific knowledge are defined. …”
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Analysis of the Impact of Big Data on E-Commerce in Cloud Computing Environment by Rongrui Yu, Chunqiong Wu, Bingwen Yan, Baoqin Yu, Xiukao Zhou, Yanliang Yu, Na Chen

“…Finally, based on the impact of cloud computing, mobile e-commerce is analyzed, including relevant theories, service mode, architecture, core technology, and the application in e-commerce, which can realize e-commerce precision marketing, find the optimal path of logistics, and take effective security measures to avoid transaction risks. This method can avoid the disadvantages of the traditional e-commerce, where large-scale data cannot be processed in a timely manner, realize the value of mining data behind, and realize the precision marketing of e-commerce enterprises.…”
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Enhancing plant disease detection through deep learning: a Depthwise CNN with squeeze and excitation integration and residual skip connections by Asadulla Y. Ashurov, Mehdhar S. A. M. Al-Gaashani, Nagwan A. Samee, Reem Alkanhel, Ghada Atteia, Hanaa A. Abdallah, Mohammed Saleh Ali Muthanna

“…In light of increasing global challenges related to food security and sustainable agriculture, this research focuses on developing a highly efficient and accurate automated system for identifying plant diseases, thereby contributing to enhanced crop protection and yield optimization. …”
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eNSMBL-PASD: Spearheading early autism spectrum disorder detection through advanced genomic computational frameworks utilizing ensemble learning models by Ayesha Karim, Nashwan Alromema, Sharaf J Malebary, Faisal Binzagr, Amir Ahmed, Yaser Daanial Khan

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A Review: Potential of Earth Observation (EO) for Mapping Small-Scale Agriculture and Cropping Systems in West Africa by Niklas Heiss, Jonas Meier, Ursula Gessner, Claudia Kuenzer

“…A state-of-the-art monitoring and data derivation of agricultural systems are crucial for improving livelihoods and enhancing food security. Despite smallholder farming systems accounting for 80% of cultivated cropland area and providing about 42% of the total employment in West Africa, there exists a lack of a comprehensive overview of Remote Sensing (RS) products and studies specifically tailored to smallholder farming systems, which this review aims to address. …”
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PROBLEMS OF DIPLOMACY IN THE PROCESS OF EURASIAN INTEGRATION by A. A. Durdyyeva

“…The Union State of Russia and Belarus and Organization of the Collective Security Treaty associations played a particular role in structuring the EAU. …”
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Dynamic Simulation of Underground Cable Laying for Digital Three-Dimensional Transmission Lines by Chunhua Fang, Wenqi Lu, Jialiang Liu, Xiuyou Yang, Jin Zhang

“…In light of the issues associated with the laying process of transmission line cables, including concealed security risks and contact collisions between pulleys and cables, which primarily stem from reliance on drawings, this paper introduces a simulation methodology for the cable laying construction process utilizing Building Information Modeling (BIM) technology. …”
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Electronic contracts on medical care of the population under medical guarantees program by V. A. Кroitor

“…The author has identified the principles of electronic medical deeds: information exchange takes place exclusively in electronic form; the legislation establishes the security of exchange and preservation of medical information, in particular medical confidentiality; modern access to medical care and resources is provided due to their assistance; these electronic contracts are aimed at improving the quality of service and meeting patients needs, transparency of the health care system; they are signed considering technological neutrality and independence from decisions developers; while signing such contracts, the information is recorded in the e-health system without the possibility of deleting or correcting the entered data; electronic identification and authentication of participants in medical relations with a high level of trust is used while they are being signed. …”
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Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

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