Management of Sustainable Development of the Fuel and Energy Complex of the Regional Economic System Based on Digital Technologies by Ekaterina A. Zemlyacheva

“…Features of the new approach are: 1) transition from public administration to corporate governance; 2) reliance on digital technologies in management; 3) flexible use of digital technologies in management, which involves the limited and careful use of controversial technologies (geographic information systems, Internet of things, cloud services and artificial intelligence) and the expansion of the use of key technologies that positively affect the sustainability of the fuel and energy complex in the regional economy of Russia: ERP systems, large data and digital platforms. …”
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The protective effect of carnosic acid on dextran sulfate sodium-induced colitis based on metabolomics and gut microbiota analysis by Changhui Du, Zhenjie Li, Jing Zhang, Ni Yin, Lirong Tang, Jie Li, Jingyin Sun, Xiaoqing Yu, Wei Chen, Hang Xiao, Xian Wu, Xuexiang Chen

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Cultural & region-specific adaptation of KAP (Knowledge, attitude, and practice) tool to capture healthy lifestyle within primary care settings. by Ahmed Sameer Alnuaimi, Muslim Abbas Syed, Abduljaleel Abdullatif Zainel, Hafiz Ahmed Mohamed, Mohamed Iheb Bougmiza, Mohamed Ahmed Syed

“…<h4>Conclusion</h4>A culturally sensitive and region specific KAP tool specifically designed for healthy lifestyles can aid in health advocacy, monitoring modifiable risk factors, capturing rich epidemiological data to design preventive interventions, surveillance of high risks patients and strengthening the existing health information systems. Further research is needed to explore evidence-based methodologies to formulate an age-specific and shorter version of KAPs survey without compromising the validity of the tool within specific regional primary healthcare settings.…”
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Linear Diophantine Uncertain Linguistic Power Einstein Aggregation Operators and Their Applications to Multiattribute Decision Making by Tahir Mahmood, Izatmand, Zeeshan Ali, Kifayat Ullah, Qaisar Khan, Ahmed Alsanad, Mogeeb A. A. Mosleh

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TepiSense: A Social Computing-Based Real-Time Epidemic Surveillance System Using Artificial Intelligence by Bilal Tahir, Muhammad Amir Mehmood

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The Fatty Acid Profile in Patients with Newly Diagnosed Diabetes: Why It Could Be Unsuspected by C. Castro-Correia, S. Sousa, S. Norberto, C. Matos, V. F. Domingues, M. Fontoura, C. Calhau

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Frozen Jacobian Multistep Iterative Method for Solving Nonlinear IVPs and BVPs by Fayyaz Ahmad, Shafiq Ur Rehman, Malik Zaka Ullah, Hani Moaiteq Aljahdali, Shahid Ahmad, Ali Saleh Alshomrani, Juan A. Carrasco, Shamshad Ahmad, Sivanandam Sivasankaran

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Semantic Features-Based Discourse Analysis Using Deceptive and Real Text Reviews by Husam M. Alawadh, Amerah Alabrah, Talha Meraj, Hafiz Tayyab Rauf

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Optimal Index Code With Rate 4 Over F&#x2082; by Rajesh Neelakandan, Ganesan Kaliyaperumal

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Assessing Thermal Comfort and Indoor Air Quality: In an Educational Facility of a Semi-Arid Climate Zone by Kemalettin Parmaksiz, Mehmet Irfan Yesilnacar, Abdullah Izzeddin Karabulut

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Study of COVID-19 cases with real data analysis by Wedad Albalawi, Kottakkaran Sooppy Nisar, Nadir Omer, Adnan Aslam, Takasar Hussain, Muhammad Ozair, Shahid Hussain, Nida Hameed

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IoT-based automated system for water-related disease prediction by Bhushankumar Nemade, Kiran Kishor Maharana, Vikram Kulkarni, Surajit mondal, G S Pradeep Ghantasala, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

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Examining the relationships between patients’ multimorbidity trajectories and prognostic outcomes after the initial hip fracture by Jessica Qiuhua Sheng, Da Xu, Paul Jen-Hwa Hu, Liang Li, Ting-Shuo Huang

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eNSMBL-PASD: Spearheading early autism spectrum disorder detection through advanced genomic computational frameworks utilizing ensemble learning models by Ayesha Karim, Nashwan Alromema, Sharaf J Malebary, Faisal Binzagr, Amir Ahmed, Yaser Daanial Khan

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Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis by Livia Faes, Lucas M Bachmann, Martin K Schmid, Michael A Thiel, Rahel Buechi, Nicolas S Bodmer, Oliver Job, Kenny R Lienhard

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A Literature Review on Schema Evolution in Databases by Zouhaier Brahmia, Fabio Grandi, Barbara Oliboni

“…Changing a database schema is a fact of life in information systems, as a response to changes inside the enterprise (e.g., new users’ requirements, correction of errors in the current database schema) or outside it (e.g., new regulations, new partners’ requirements). …”
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Multitenancy in Single Instance of Data Persistence Service for Supporting Low-Code Platforms by Julio Gustavo Costa, Luiz Marcos Garcia Goncalves, Samuel Xavier-de-Souza

“…Corporate digitalization, especially among Small and Medium Enterprises, has led to a significant increase in the demand for scarce professionals with expertise in the IT area, especially in Web Information Systems area. On the other hand, concerns about high levels of resource idleness in the cloud are constant. …”
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Understanding the factors that shape vaccination ecosystem resilience: a qualitative assessment of international expert experiences and perspectives by Suepattra May, Meaghan Roach, Melissa Maravic, Rachel Mitrovich, Rozanne Wilson, Nadya Prood, Amanda L Eiden

“…Stakeholder education, immunisation information systems (IIS) and programme financing were key factors to strengthening programme resilience. …”
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Deep learning technology: enabling safe communication via the internet of things by Ramiz Salama, Hitesh Mohapatra, Tuğşad Tülbentçi, Fadi Al-Turjman

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Analysis of sensitive urban form indicators of flood susceptible prediction based on machine learning models by M. Srivanit, S. Pattanasri, N. Phichetkunbodee, S. Manokeaw, S. Sitthikankun, D. Rinchumphu

“…Eight urban factors were input into eleven multiclass classification algorithms to assess flood risk, and the results were displayed on a geographic information systems map.FINDINGS: The study discovered that the bagging decision tree algorithm model produced the best flood risk assessment model, with an accuracy of 88.58 percent compared to the government's flood simulation model results. …”
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