Predicting Atmospheric Dispersion of Industrial Chemicals Using Machine Learning Approaches by Maria Valle, Jairo A. Cardona, Cesar Viloria-Nunez, Christian G. Quintero M.

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Identification and assessment of threats to the financial security system of the state in the field of customs control by O.M. Petruk, Yu.S. Kostishin

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CUSTOMS CONTROL OF FOREIGN ECONOMIC ACTIVITY IN THE AGRICULTURAL SECTOR: ECONOMIC AND LEGAL ASPECTS by Kyrylo Voronov, Eduard Ivanchenko, Viktoriia Kachuriner

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Quasi-Viral Technologies as the Drivers of the Economy Digital Transformation Towards sustainability by Leonid Melnyk, László Vasa, Satyanand Singh, Oleksandr Kubatko, Lyudmila Kalinichenko

“…The signs of quasi-viral processes are formulated on several levels: “infection” due to a change in the information algorithm; substantial user preferences; lack of sufficient barriers; significant potential to increase users; and disruptive efficiency. Signs of quasi-viral technologies have the following types of innovations: renewable energy, 3D printing, electric transport, energy storage, IT technologies, digital recording of information, cloud technologies, etc. …”
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Accurate detection of critical LLFs and LGFs in PV arrays based on deep reinforcement learning using proximal policy optimization (PPO) by Sherko Salehpour, Aref Eskandari, Amir Nedaei, Mohammad Gholami, Mohammadreza Aghaei

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Recent advancements in aquaponics with special emphasis on its sustainability by Chythra Somanathan Nair, Ramya Manoharan, Drishya Nishanth, Radhakrishnan Subramanian, Elke Neumann, Abdul Jaleel

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Investigating the Effects of Sleep Health Education Based on Mobile Application on Sleep Quality of the Elderly: A Quasi-Experimental Study by Shahla Asiri, Hananeh Rahimi, Ehsan Kazemnezhad Leyli, Negar Pourvakhshoori

“…The intervention group received training on using the mobile-based sleep health educational application during two face-to-face sessions and was instructed to implement its programs daily for four weeks. Results The results of the study indicated that the average age of the elderly participants was 68.98±6.52 years, with the majority being female (60.1%), married (83.3%), living in urban areas (91.5%), and having a university education (52%). …”
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Computer Architecture for Industrial Training Evaluation by Luz E. Gutiérrez, Carlos A. Guerrero, Mark M. Betts, Daladier Jabba, Wilson Nieto, Héctor A. López-Ospina

“…The analysis of the results showed a significance value of less than 0.001 in the three indicators: efficiency, effectiveness, and satisfaction in the Levene test and Student’s <i>t</i>-test. …”
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INNOVATIONS IN UNIVERSITY MANAGEMENT AS A PREREQUISITE FOR THE DEVELOPMENT OF COMPETITIVENESS OF THE UKRAINIAN ECONOMY DURING THE POST-WAR PERIOD by Iryna Drach, Oleksandra Borodiyenko, Olha Petroye

“…The model of implementation of Open Science in Ukrainian universities is substantiated, which takes into account European practices of implementing the concept of Open Science in universities, its basic principles, components, and understanding of its key advantages in the context of increasing economic competitiveness. …”
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INCLUSIVE EDUCATION ORGANIZATION AT THE NATIONAL LEVEL by Liliia М. Potapiuk

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Processes of Obtaining Nanostructured Materialswith a Hierarchical Porous Structure on the Example of Alginate Aerogels by Natalia Menshutina, Olga Fedotova, Andrey Abramov, Eldar Golubev, Yan Sulkhanov, Pavel Tsygankov

“…This paper presents a comprehensive study of three methods for forming hierarchical porous structures in alginate aerogels: (1) employing surfactants (Pluronic F-68), (2) using zein as a pore-forming component, and (3) foaming in a carbon dioxide medium. …”
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Simplified Carrier-Based SVDPWM Methods Using Reduced Common Mode Voltage Vector Redundancy for Improving Output Current Ripple in Four-Level NPC Inverter by Le Nam Pham, Quoc Dung Phan, Nho-van Nguyen

“…Redundant reduced common-mode voltage (RCMV) vectors in the space vector diagram (SVD) of the Four-level inverter are utilized to design three discontinuous pulse width modulation (DPWM) control strategies with Three-level CMV (3L-CMV) characteristic, SVDPWM0, SVDPWM1 and HSVDPWM. …”
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Hygroscopic parameters of sazan caviar as a source of lecithin and a drying object and thermodynamic analysis of the static regularities of its interaction with water by V. E. Polikarpova, I. Yu. Aleksanyan, Z. M. Arabova, A. Kh.-Kh. Nugmanov, E. Yu. Zaporozhets

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An adaptive neuro-fuzzy inference scheme for defect detection and classification of solar PV cells by Ranganai Tawanda Moyo, Mendon Dewa, Héctor Felipe Mateo Romero, Victor Alonso Gómez, Jose Ignacio Morales Aragonés, Luis Hernández-Callejo

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Overload Risk Assessment of Transmission Lines Considering Dynamic Line Rating by Jieling Li, Jinming Lin, Yu Han, Lingzi Zhu, Dongxu Chang, Changzheng Shao

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Research progress on zeolite molecular sieve-based catalysts for VOCs catalytic combustion by JIANG Zhongyu, LIU Junchen, RUAN Hongcheng, JIA Yongsheng, DENG Wei, GUO Limin*

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Strengthening Immunization Data: Protocol for the Evaluation of an Electronic Immunization Register by Meru Sheel, Cyra Patel, Gemma Saravanos, Michelle Lynch, Adeline Tinessia, Niramonh Chanlivong, Mathida Thongseng, Praveena Gunaratnam, Chansay Pathammavong, Kongxay Phounphenghack, Yongjoon Park, Sisouveth Norasingh, Dheeraj Bhatt, Nyambat Batmunkh, Marcela Contreras, M. Carolina Danovaro-Holliday

“…MethodsTo evaluate the implementation of the EIR in the Lao People’s Democratic Republic, we will (1) map the EIR workflow process, (2) examine EIR user and stakeholder perspectives, and (3) assess the EIR data quality. …”
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MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion by Mustaqeem Khan, Phuong-Nam Tran, Nhat Truong Pham, Abdulmotaleb El Saddik, Alice Othmani

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The development of advanced network simulators for air transport by using fuzzy models and noise-resistant coding by A. A. Gladkih, L. G. Bolshedvorskaya, An. K. Volkov, Al. K. Volkov

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Finite Mixture Models: A Key Tool for Reliability Analyses by Marko Nagode, Simon Oman, Jernej Klemenc, Branislav Panić

“…The REBMIX&EM algorithm, implemented in the <b>rebmix</b> R package, generally performs well but struggles when components of the finite mixture model overlap. …”
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