Contemporary Trends in Economic Cybersecurity by Yu. Yu. Shitova, Yu. A. Shitov

“…It means development of hacking tools while accelerating the speed and scale of attacks. We must implement an integrated, echeloned approach with the same innovative technologies of AI and MO used by hackers, to fight effectively with future cyber threats. …”
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Online Neural Dynamics Forecasting for power system security by Mert Karacelebi, Jochen L. Cremer

“…Machine learning (ML) methods offer advantages in terms of computational speed compared to numerical methods and simulators. …”
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Research on Pedestrian Avoidance Behavior for School Section Based on Improved BP Neural Network and XGboost Algorithm by Guiliang Lu, Mingwei Liu

“…As society evolves and technology advances, increasing transportation demands have heightened safety risks near schools and on mixed-traffic roads. …”
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Deep deterministic policy gradient algorithm based on dung beetle optimization and priority experience replay mechanism by Hengwei Zhu, Chuiting Rong, Haorui Liu

“…The results showed that the improved method improved the convergence speed by at least 10% compared with the comparison algorithm, and the cumulative reward value was increased by up to 150.…”
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Model of Optimization of Process Parameters for Machining of Separate Design Elements of the Product by Gulnara Zhetessova, Irina Khrustaleva, Viacheslav Shkodyrev, Olga Zharkevich, Aliya Kanatova, Murat Kozhanov, Gulim Tattimbetova, Gulnur Abdugaliyeva

“…Thus, as a result of the optimization, the total labor intensity of individual transitions decreased by 18.3%, with an increase in processing error by 12.1%, and deterioration of the roughness parameter by 13.2%, which satisfies the initial conditions of optimization. …”
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A New Approach for Online Transient Instability Assessment and Prediction via Tracing the Variation Trend of Synchronous Generator Energy by Parva Soori, Alireza Sobbouhi, Mohamma Reza Aghamohammadi, Mohamma Sadegh Sepasian

“…The energy is calculated using the integral of the electrical power of the generator measured over time. This energy increases during a fault and subsequently decreases in post-fault. …”
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Integration of Hash Encoding Technique with Machine Learning for Employee Turnover Prediction by Ahya Radiatul Kamila, Johanes Fernandes Andry, Francka Sakti Lee, Felliks F. Tampinongkol

“…Employee turnover refers to the replacement of employees within an organization, which can lead to losses such as recruitment costs and decreased productivity. Predicting turnover is crucial for companies to anticipate and take appropriate actions to retain potential employees. …”
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SUPRESSION OF MICROSOMAL OXIDATION WEAKENS HISTOCHROME’S DIURETIC EFFECT AT RATS by O. S. Talalaeva, A. Yu. Zharikov, Ya. F. Zverev, S. A. Fedoreyev, V. M. Bryukhanov, V. V. Lampatov

“…Most likely, echinochrome metabolite raises speed glomerular filtrations, providing diuretic reaction of a preparation.…”
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DLP: REDUCED RISK OF LEAKAGE OF CONFIDENTIAL INFORMATION OF THE BANK by T. A. Andryianava, S. B. Salomatin

“…The application of the adapted DLP-system in the Bank allowed to increase the speed of response of information security specialists to the information security events detected by the DLP-system adapted to the Bank, and also allowed the DLP-system to transition from the copy mode to the blocking mode of illegitimate transfer of information.…”
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Challenges of drone development in Iran's agricultural sector: The application of the TOWS analysis by Zahra Khoshnodifar, Pouria Ataei, Hamid Karimi

“…Given the increasing adoption of modern technologies in agriculture and the challenges associated with the acceptance and development of drones in this sector, the present research aimed to analyze the challenges of drone application in Iran's agriculture in order to propose some effective strategies. …”
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Efficient network attack path optimization method based on prior knowledge-based PPO algorithm by Qiuxiang Li, Jianping Wu

“…Based on these rules, action mask vectors are generated before each action sampling phase to modify the distribution of the output of the policy network. …”
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Effects of Acidic Environment on Dynamic Mechanical Properties and Porosity Evolution Characteristics of Coal by Shuang Gong, Xiaojun Li, Wen Wang, Shibin Yao, Juan Liu, Dengyun Niu

“…Longitudinal wave velocity of coal sample decreases gradually with the increase of drying and wetting cycles, and the decreasing speed is first fast and then slow. …”
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In Vitro Reporter Assays for Screening of Chemicals That Disrupt Androgen Signaling by Gargi Bagchi Bhattacharjee, S. M. Paul Khurana

“…Androgen or male hormones are critical for the development and maintenance of male characteristics and numerous EDCs exist in the environment with the potential to disrupt androgen action. The threat is more during critical developmental windows when there is increased sensitivity to these compounds. …”
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A Review on the Friction Stir Brazing for Joining Dissimilar Materials by Akeel Dhahir Subhi

“…Sound interfacial bonding can be observed in the central zone of FSBed joints, where intermetallic compounds (IMCs) can be formed by direct diffusion among the dissimilar workpieces after extrusion of liquid phase rather than by mechanical mixing or solidification of braze material. Increasing the transverse speed at a constant rotational speed has an influence on the peak temperature, but it remarkably reduces the holding time owing to the increased cooling rate. …”
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Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation Effect by Li Jie, Lian Hailong, Lan Hai, Wang Zhiyong

“…With the increased rotation speed, the cavitation effect volume fraction increases first and then decreases. …”
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Research and development of material feeder of drum type shredder by V. I. Zenikov

“…Transportation is carried out owing to action of centrifugal forces of the crushing drum and the air stream created by it. …”
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Research and Construction of Knowledge Map of Golden Pomfret Based on LA-CANER Model by Xiaohong Peng, Hongbin Jiang, Jing Chen, Mingxin Liu, Xiao Chen

“…This promotes the application of smart aquaculture technologies and enables precision farming, ultimately increasing overall industry efficiency.…”
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A Deep Reinforcement Learning Framework for Adaptive Resiliency Enhancement in Smart Power Grids by Boyu Wang, Aliasghar Baziar, Mohammad Reza Askari

“…The proposed framework features a two-layered control architecture that models grid states, actions, and rewards to enable continuous, real-time adaptive control of distributed energy resources, microgrids, and control centers. …”
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The effect of relative pitch size on physiological, physical, technical and tactical variables in small-sided games: a literature review and practical guide by Michael C. Rumpf, Michael C. Rumpf, Michael C. Rumpf, Johannes Jäger, Filipe M. Clemente, Filipe M. Clemente, Filipe M. Clemente, Stefan Altmann, Stefan Altmann, Matthias Lochmann

“…Several physical variables showed significant positive associations (total distance, relative total distance, maximum speed, number of sprints, sprinting, high-speed running, jogging, acceleration and deceleration, high-metabolic load distance, work-to-rest ratio) and negative associations (walking distance) with increases in relative pitch size (p < 0.05). …”
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Semi-automated modeling of combined stained glasses by Andrii Petrushevskyi

“…To form an algorithm of actions based on classical stained glass technology using specialized modeling tools to create a project for a combined stained glass canvas. …”
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