Violent behaviour during sports event or public gathering: Disscutable questions in doctrine and court practice by Marjanović Đorđe B.

“…In the third part of the paper, the author analyzes the position of the article of the Criminal Code in which violent behavior during sports events or other public gatherings is criminalized, and which obligates the courts to impose the security measure of prohibition from attending certain sports events on the perpetrators of this act at sports events. …”
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Hyperchaos on the dynamics of memristive Tabu learning neuron model under influence of electromagnetic radiation: Application in biomedical data privacy by Bertrand Frederick Boui A Boya, Jacques Kengne, Arnaud Nanfak, Sishu Shankar Muni, Jean de Dieu Nkapkop, Germaine Djuidje Kenmoe, Lyudmila Klimentyevna Babenko

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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Moreover, federated learning systems present a promising solution for ensuring privacy and security when dealing with sensitive financial data. …”
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A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy by Muhammad Adnan, Madiha Haider Syed, Adeel Anjum, Semeen Rehman

“…Vehicles in the VANET are highly connected to each other and this thing can cause security, safety, and privacy risks for the asset itself and driver also. …”
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Strategic selection of polliniser trees can improve fruit quality of lychee, a crop that exhibits mixed-mating by Stephen J. Trueman, Joel Nichols, Christopher J. Burwell, Wiebke Kämper

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The influence of the choice of foreign policy strategies of the Republic of Serbia and Montenegro on the development of their bilateral military relations by Spasojević Čedo D.

“…n a complex system of international relations and current geopolitical and security architecture at the global level, states, in accordance with their economic, military and other potentials, choose foreign policy strategies. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Moreover, federated learning systems present a promising solution for ensuring privacy and security when dealing with sensitive financial data. …”
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Multi-functional code for hydrogen isotopes transport analyses: verification & validation against fusion-relevant applications by F. Hattab, V. Narcisi, C. Ciurluini, A. Trotta, A. Santucci, F. Giannetti

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‘I haven’t met them, I don’t have any trust in them. It just feels like a big unknown’: a qualitative study exploring the determinants of consent to use Human Fertilisation and Emb... by Claire Carson, Lisa Hinton, Jenny Kurinczuk, Maria Quigley

“…Public understanding of data use and security is relatively poor; increased public trust in, and awareness of, research based on routine data could improve consent to data use and reduce the risk of bias.…”
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Public responses to the Salisbury Novichok incident: a cross-sectional survey of anxiety, anger, uncertainty, perceived risk and avoidance behaviour in the local community by Richard Amlot, Dale Weston, Simon Wessely, G James Rubin, Rebecca Webster, Holly Carter

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A Sensitive, Specific and Fast Electrochemical‐based Nanobiosensor Diagnostic for Xanthomonas albilineans, the Cause of Sugarcane Leaf Scald Disease by Moutoshi Chakraborty, Shamsul Arafin Bhuiyan, Simon Strachan, Muhammad J.A. Shiddiky, Nam‐Trung Nguyen, Narshone Soda, Rebecca Ford

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PoWBWM: Proof of work consensus cryptographic blockchain-based adaptive watermarking system for tamper detection applications by P. Aberna, L. Agilandeeswari

“…The security is ensured only when the embedded hash key is authentic with its previous block to proceed further extraction process. …”
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Psychosocial factors and indoor environmental quality in respiratory symptom reports of pupils: a cross-sectional study in Finnish schools by Juha Pekkanen, Kateryna Savelieva, Marko Elovainio, Jussi Lampi, Sari Ung-Lanki

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Analysis of Autonomous Penetration Testing Through Reinforcement Learning and Recommender Systems by Ariadna Claudia Moreno, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba

“…To enhance the effectiveness of these tests, Machine Learning (ML) has been integrated, showing significant potential for identifying anomalies across various security areas through detailed detection of underlying malicious patterns. …”
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Exergo-economic analysis of multi HDH system integrated with evaporative crystallizer for zero liquid discharge by Osman Shamet, Dahiru U. Lawal, Suhaib M. Alawad, Mohamed Antar, Syed M. Zubair

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Blockchain-driven demand side management in P2P energy markets for islanded microgrid systems by Abdullah Umar, Sumit Kumar Jha, Deepak Kumar, Tirthadip Ghose, Subhransu Ranjan Samantaray

“…This integration enhances transparency, security, and efficiency in the microgrid. During the registration phase, all devices are authenticated and authorized through a secure, transparent blockchain ledger. …”
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Monitoring and discussion on river carbon and nitrogen fluxes in the Pearl River Estuary region by Dawei Li, Hongji Liang, Zimiao Zhao, Huifeng Huang, Cuiming Li, Chengzhi Wang

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HPRS: hierarchical potential-based reward shaping from task specifications by Luigi Berducci, Edgar A. Aguilar, Dejan Ničković, Radu Grosu

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Two newly recorded species of Anthocerotophyta from Xizang, China by Zhuogabayong, SONG Xiaotong, HONG Jiakang, GU Jiqi, SHAO Xiaoming, WANG Ruihong

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Effects of Furrow Corn Straw Mulch on Soil Erosion and Organic Carbon Loss in Sloping Farmland in the Black Soil Region by Haiou Shen, Hongli Li, Hang Liu, Jialong Wu, Chunli Li, Yushi Liang

“…Black soil with high fertility is a valuable soil resource, which plays an important role in guaranteeing regional food security and ecological security. Straw return is also a widely recognized way of straw resource utilization. …”
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