Deep Learning-Based Anomaly Detection in Occupational Accident Data Using Fractional Dimensions by Ömer Akgüller, Larissa M. Batrancea, Mehmet Ali Balcı, Gökhan Tuna, Anca Nichita

“…The results demonstrate that the VAE model consistently detects a broader range of anomalies, particularly in sectors with complex operational processes like NACE05 and NACE30. …”
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Examining health equity in Nepal’s climate change and health policies through the lens of environmental justice: insights from a content analysis by Sudeepa Khanal, Rehana Shrestha, Melanie Boeckmann

“…Health equity-related statements from environmental justice viewpoint vary across sectors. Many documents emphasize equitable distribution of resources and benefits, with participation in decision-making processes being the least discussed. …”
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FOREIGN INVESTMENT AS A FACTOR OF ECONOMIC REVIVAL OF THE STATE by Nataliya Namliyeva

“…It is established that in terms of sectoral attractiveness, the priority areas for investment are industry and agriculture. …”
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CONDITIONS OF ECONOMIC ACTIVITY CO-ORDINATION AS A FACTOR OF SHAPING ORGANIZATIONAL STRUCTURES by Viktor E. Dementiev

“…It was stated that transfer of a certain part of business processes to other companies can become a means of innovative competition. …”
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Current developments, applications, challenges and future trends in internet of things: A survey by Maha Helal

“… The rapid digitalization in recent years has opened up many technological possibilities, gradually transforming various sectors and society as a whole. This digital shift has enabled advancements in a number of fields, leading to improved resource efficiency, systems and processes. …”
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Methodological basis for identifying promising industries of business specialization in Russian regions while developing digital technologies by S. L. Ivanov

“…A methodological approach has been developed to identify promising sectors of business specialization in the Russian regions in order to develop specific types of digital technologies in them. …”
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Study of the Effect of Thermomechanical Treatments on the Property of Beryllium Bronze in Order to Expand Its Application by B.K. Rakhadilov, A.B. Kengesbekov, N.M. Magazov, A.A. Kusainov, L.S. Kairbaeva, Y.S. Molbosynov

“…The obtained results allow expanding the areas of application of beryllium bronze in industry, aircraft construction and other sectors. And also the main conclusions are that the introduction of advanced methods of thermomechanical processing helps not only to improve the physical characteristics of bronze, but also makes it possible to use this material in new areas, such as aerospace and automotive industries. …”
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Chances of Effective Urban Policy in Hungary under the Influence of the European Cohesion Policy by Edit Somlyódyné Pfeil

“…The goal of the paper is to search for the state environmental conditions for an effective urban governance by the analysis of the Hungarian processes of the last six years. The survey is focused, on the one hand, on Hungarian towns considered as small and medium-sized towns by European scales; on the other hand, the conditions for the birth of co-operations between these towns and their regions, and among the different sectors are also emphasised. …”
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The modeling framework of the coupled human and natural systems in the Yellow River Basin by Shan Sang, Yan Li, Shuang Zong, Lu Yu, Shuai Wang, Yanxu Liu, Xutong Wu, Shuang Song, Xuhui Wang, Bojie Fu

“…The modeling framework, implemented using the system dynamics (SD) approach, can well reproduce the basin's historical evolution in human-natural processes and predict future dynamics under various scenarios. …”
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Improving SMART learning: Course completion via AI-driven hybrid system integration in big data by Abdellah Bakhouyi, Amine Dehbi, Lahcen Amhaimar, Said Broumi, Mohamed Talea, Abderrahim Khalidi

“…Rapid data growth in various sectors, like education, is driving the need for robust systems capable of enhancing the learning experience and at the same time guaranteeing course completion. …”
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ON APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR MODELING OF WATER CONSUMPTION by Alexander N. Salugin, Roman N. Balkushkin

“…The use of mathematical models in the form of a system of differentiated equations is hampered by the uncertainty of the coefficients in their right-hand sides, which describe the intensities of processes of different natures: precipitation, water consumption by various sectors of the water management complex, water runoff during snow melting, transpiration, infiltration, etc. …”

Challenges of Requirements Communication and Digital Assets Verification in Infrastructure Projects by Waleed Abdeen, Krzysztof Wnuk, Michael Unterkalmsteiner, Alexandros Chirtoglou

“…Method: we study requirements validation, communication, and digital asset verification processes through two case studies in the road and railway sectors, involving interviews with ten experts across three companies. …”
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Probiotic Lactococcus lactis: A Review by Priti Khemariya, Sudhir Singh, Gopal Nath, Anil K Gulati

“…Lactococcus lactis plays a critical role in food, dairy and health sectors. In food and dairy industries, it is found in production processes of various fermented products such as sausages, pickled vegetables, beverages such as beer and wine, breads, soymilk kefir, sour milk, butter, cream, fresh cheese and different types of cheeses, like Cheddar, Colby, Cottage cheese, Camembert, cream cheese, Roquefort and Brie. …”
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Scientometric Analysis of Digital Transformation Maturity in Research and Development by Riski Riski, Achmad Nurmandi, Muhammad Younus, Herman Lawelai, Wahdania Suardi

“…The study then focuses more deeply on evaluating digital maturity, integrating technology in decision-making processes, and exploring specific sectors that have received relatively less attention in the existing literature from an industry perspective. …”
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Smart Manufacturing through Machine Learning: A Review, Perspective, and Future Directions to the Machining Industry by A. S. Rajesh, M. S. Prabhuswamy, Srinivasan Krishnasamy

“…Nowadays, to reach progressive growth although being competitive in the market, the manufacturing industries are using advanced technologies such as cloud computing, the Internet of things (IoT), artificial intelligence, 3D printer, nanotechnology, cryogenics, robotics, and automation in smart manufacturing sectors. One such subclass of artificial intelligence is machine learning, which uses a computer system for making predictions and performing definite tasks without any use of specific instructions to enhance the quality of the product, and rate of production, and to optimize the processes and parameters in machining operations. …”
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Ecological Network Analysis of the Water-Energy-Food Metabolic System Based on the MRIO Model: A Case Study for China’s Yangtze River Delta Region by Yinwen Huang, Dechun Huang, Jinqiu Li

“…Predation and exploitation relationships are dominated between sectors, and the whole trade network stays in a low positive environment. …”
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Tax Mechanism to Counteract Business Fragmentation in Agriculture by Anna V. Tikhonova, Marina V. Pyanova

“…The specific features of taxation in agriculture is conditioned by the mandatory compliance with the share of qualifying revenue from the sale of agricultural products and products of their primary and subsequent processing. This leads to the risk of business fragmentation for dishonest taxpayers. …”
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Measurement and Spatial Transfer of Blue Water Footprint in Urumqi-Changji-Shihezi Megalopolis——Based on MRIO Model by LYU Zhengyin, SUN Jianguang

“…To find a way to alleviate the pressure on water resources during the coordinated development of the Urumqi-Changji-Shihezi megalopolis,this paper calculated the blue water footprint in the megalopolis from the perspectives of production and consumption with a city-scale multi-region input-output (MRIO) model.The pattern of spatial transfer among the sectors of the region and between the region and the rest of the country was also measured.The results lead to the following conclusions:① In 2012,the blue water footprint of production in the Urumqi-Changji-Shihezi megalopolis was 3.383 billion m³,mainly due to the large production scale of the agriculture,forestry,animal husbandry,and fishery in Changji.In contrast,the blue water footprint of consumption was as high as 6.403 billion m³ because Urumqi and Shihezi imported a lot of blue water footprint in the primary industry (mainly from inside Xinjiang) and the tertiary industry (mainly from outside Xinjiang).② The self-sufficiency of the Urumqi-Changji-Shihezi megalopolis is limited.Nevertheless,the various sectors of each city are closely related to each other,and those in Shihezi are especially prominent in pulling the region's water consumption up to a high level.③ The Urumqi-Changji-Shihezi megalopolis has a net import of blue water footprint from within Xinjiang that is higher than its net export to outside Xinjiang.Specifically,Urumqi achieves a net import from both inside and outside Xinjiang and has a net export only in the sectors of petroleum,coking products,and processed nuclear fuel products.In contrast,Changji,presenting itself with a net export,and Shihezi,with a net import,rely on the inflow from the primary and tertiary industries within Xinjiang on the one hand and are burdened with the demand of major agricultural provinces outside Xinjiang and the developed provinces and cities in Southeast China for agricultural and livestock products and primary industrial products on the other hand.This research can thus provide a reference for the rational allocation of water resources in the Urumqi-Changji-Shihezi megalopolis and the strategic arrangement for foreign trade.…”
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Tyre pattern image retrieval – current status and challenges by Liu Ying, Liu Qiqi, Fan Jiulun, Wang Fuping, Fu Jianlong, Yuan Qingan, Chiew Tuan Kiang, Ling Nam

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Digitalisation of Supply Chain Management System for Customer Quality Service Improvement. by Eduard Shevtshenko, Rene Maas, Lea Murumaa, Tatjanja Karaulova, Ibrahim Oluwole Raji, Janek Popell

“…The difference in performance can be reached via applying the best practices to processes, affecting the performance in larger scale.…”
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