Smart Agricultural System Using Proximal Sensing, Artificial Intelligence, and LoRa Technology: A Case Study in Vineyard Management by Sara Oleiro Araujo, Ricardo Silva Peres, Livia Bischof Pian, Fernando Lidon, Jose Cochicho Ramalho, Jose Barata

“…This paper focus on the application of the Intelligent Data-Driven Decision Support System for Agricultural Systems (ID3SAS) methodology to a proximal sensing case study aimed at improving vineyard management via monitoring and predictive modeling with Artificial Intelligence. …”
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Research on Technical Framework of Intelligent Maintenance & Supportfor Heavy-haul Railway by ZHANG Bin, LI Fei, WANG Duo, LYU Gexing, WANG Dalong

“…This article analyzes the current status of locomotive operation and maintenance of heavy-haul railway, designs an intelligent maintenance and support system for railway based on the six sectors of smart perception, smart diagnosis, smart detection, smart evaluation, smart maintenance and smart security. …”
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Strengthening nutrition routine data using institutionalized health management information systems for decision making: analysis of best practices and lessons learned from implemen... by Ousmane Ouedraogo, Mahamadi Tassembedo, Assane Ouangare, Estelle Bambara, Paton Guillaume Paré, Boro Gosso, Fulbert Ilboudo, Céline Zongo, Rodrigue Kouamé, Mediatrice Kiburente, Saidou Diallo, Barbara Baille, Justine Marie Francoise Briaux, John Ntambi, Norah Stoops, Simeon Nanama

“…Abstract Strengthening nutrition routine information system is critical to support nutrition programs with relevant data to inform decision-making. …”
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Harnessing multisector data to guide policy decision-making to help reduce malnutrition: findings from implementing the National Information Platforms for Nutrition in Africa, Asia... by Carmel M Dolan, J Shojam, P Geniez, B Baille, L Barrington, E Onsomu, I Kiplagat, J Katungu, S Kipruto, M Balarabe

“…Significant impacts are already being achieved through strengthening nutrition relevant data monitoring across sectors, re-analysis of complex data sets, improved visualization of data and through advocacy for more timely nutrition relevant data. …”
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Principles and Directions of Long-Term Stimulation of Innovation Activity in the Social Sphere by D. A. Serebryakov

“…It is proposed to stimulate innovation in social sectors by increasing the innovative mentality of future generations of Belarusian people, improving the exchange of data in the system of information support of science, and by increasing the number of available sources of financing for innovations.…”
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Enhancing Human Knowledge and Capabilities with Artificial Intelligence Tools for Education by Emerson Abraham Jackson, Hudson F. Jackson

“…By focusing on the education sector, the study provides a comprehensive overview of how AI is being implemented and the outcomes of these implementations. …”
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Topic Modeling Analysis of Children’s Food Safety Management Using BigKinds News Big Data: Comparing the Implementation Times of the Comprehensive Plan for Children’s Dietary Safet... by Hae Jin Park, Sang Goo Cho, Kyung Won Lee, Seung Jae Lee, Jieun Oh

“…These include experiential education, data-driven policy approaches, safety-focused meal management, healthy dietary environments, nutritional support for children’s growth, customized safety education, and private-sector initiatives. …”
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Investments in the Digitalization of service Companies as a source of Well-being of the Population of the Regions by V. A. Yakimova, S. V. Khmura

“…Methods of assessment of par correlations, typology, and panel data used to conduct spatial-time analysis. 85 regions of Russia were selected as the objects of study, and the research period includes the pre-pandemic and pandemic period, the impact of which led to an increase in investment in digital technologies in the service sector. …”
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Workplace Preference Analytics Among Graduates by Sin-Yin Ong, Choo-Yee Ting, Hui-Ngo Goh, Albert Quek, Chin-Leei Cham

“…Feature selection was used to identify top-10 predictors that influence the selection of jobs in graduates' desired sectors. Various analytics methods such as Decision Tree Analysis, Random Forest Model selection, Naive Bayes Classification Method, Support Vector Machines and K-Nearest Neighbor Algorithms were employed for comparative evaluations within the workplace analytics scope. …”
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Bank Profitability in Times of Quantitative Easing: The Role of Central Bank Transparency by Athanasios Koukouridis

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Accounting for Efficiency: Productivity Assessment of Merged Hospitals in Portugal Using DEA–Malmquist Analysis by Natália Maria Pereira Macedo, Anabela Martins Silva, Amélia Silva

“…These findings partially support the assumptions of New Public Management and Efficiency Theory concerning efficiency improvements through hospital mergers in the public sector.…”
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Sales Segmentation Analysis of Tobacco Products Using the K-Means Clustering Method by Yance Sonatha, Aldo Erianda, Redhatul Fitri

“…These clustering results support stock management, marketing strategies, and data-driven decision-making. …”
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Digitalization of railway transportation through AI-powered services: digital twin trains by Salih Sarp, Murat Kuzlu, Vukica Jovanovic, Zekeriya Polat, Ozgur Guler

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Research on the Economic Loss Model of Invasive Alien Species Based on Multidimensional Data Spatialization—A Case Study of Economic Losses Caused by <i>Hyphantria cunea</i> in Jia... by Cheng Li, Yongbin Zhou, Cong Wang, Xubin Pan, Ying Wang, Xiaofeng Qi, Fanghao Wan

“…And SSP-specific loss projections support dynamic budget planning under climate uncertainty. …”
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Large Language Models in Genomics—A Perspective on Personalized Medicine by Shahid Ali, Yazdan Ahmad Qadri, Khurshid Ahmad, Zhizhe Lin, Man-Fai Leung, Sung Won Kim, Athanasios V. Vasilakos, Teng Zhou

“…To effectively leverage LLMs’ potential in personalized medicine, it is vital to actively support innovation across multiple sectors, ensuring that AI developments directly contribute to healthcare solutions tailored to individual patients.…”
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The Role of Education in Building National Soft Power: An Empirical Analysis From a Global Perspective Using Deep Neural Networks by Yun Bai

“…In recent years, deep learning technologies have rapidly transformed various sectors, particularly in fields such as healthcare, finance, and education. …”
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Financing from agricultural supply stores as a solution for increasing productivity and welfare of potato farmers by Zamzami Zamzami, Junaidi Junaidi, Elfindri Elfindri

“…The research used a mixed-methods approach, integrating qualitative and quantitative data. Data were collected through in-depth interviews, questionnaires, observations, and documentation from 211 potato farmers in Kerinci Regency. …”
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The impact of new VAT enforcement on financial performance: Evidence from Saudi Arabia non-financial listed companies using the event study and ARMA model by Mohammed Ibrahim Al-Otaibi, Normaziah Mohd Nor, Yusniyati Yusri, Nedaa Guzaiz

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Selected Topics in Management and Modeling of Complex Systems: Editorial Introduction to Issue 16 of CSIMQ by Peter Forbrig

“…It is used to specify and develop an architecture cockpit for a company from the financial sector. Within the range of topics is also a paper about the concepts of shared spaces as basis for building business process support systems. …”
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Revolutionizing educational decision-making: a robust machine learning mechanism for predicting student performance by Muhammad Nadeem Gul, Waseem Abbasi, Muhammad Yaqoob Wani

“…The findings of this research have the potential to transform educational decision-making and support a more data-driven and effective strategy for improving academic outcomes.…”
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