Association of alcohol consumption and dietary patterns in the adult population: data from the ESSE-RF study by N. S. Karamnova, A. I. Rytova, O. B. Shvabskaya, S. A. Shalnova, S. A. Maksimov, Yu. A. Balanova, S. E. Evstifeeva, A. E. Imaeva, A. V. Kapustina, G. A. Muromtseva, O. M. Drapkina

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COMPARISON OF CRUSTAL DEFORMATION RATES ESTIMATED FROM SEISMIC AND GPS DATA ON THE BISHKEK GEODYNAMIC POLYGON by N. A. Sycheva, A. N. Mansurov

“…Comparing the fields of the sums of the strain rate tensor’s horizontal components from the seismic data (Fig. 6) and the GPS data (Fig. 7) reveals an inconsistency for the Suusamyr depression: the GPS data shows a considerable crustal shortening in the horizontal plane, while the seismic data is indicative of a shear deformation. …”
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Facilitating Decision-Making Processes in Packaging and Graphic Media: A Review of MCDM Methods from 2008 to 2024 by Şeyma Bozkurt Uzan

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National administrative record linkage between specialist community drug and alcohol treatment data (the National Drug Treatment Monitoring System (NDTMS)) and inpatient hospitalis... by Katie L Harron, Martin White, Emmert Roberts, Matthew Hotopf, Colin Drummond, James C Doidge, Jonathan Knight, Brian Eastwood

“…Individuals were more likely to link if they were women, white and aged between 46 and 60. …”
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Construction and optimization of health behavior prediction model for the older adult in smart older adult care by Qian Guo, Peiyuan Chen

“…Addressing challenges such as data diversity, health status complexity, long-term dependence, and data privacy is crucial for predicting older adult health behaviors.MethodsThis study designs and implements a smart older adult care service model incorporating modules like multimodal data fusion, data loss processing, nonlinear prediction, emergency detection, and privacy protection. …”
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Systematic Identification of Caregivers of Patients Living With Dementia in the Electronic Health Record: Known Contacts and Natural Language Processing Cohort Study by Daniel Martin, Jason Lyons, J David Powers, Andrea E Daddato, Rebecca S Boxer, Elizabeth Bayliss, Jennifer Dickman Portz

“…Despite EHRs being effective in identifying patients through standardized data fields like demographics, laboratory results, medications, and diagnoses, identifying caregivers through the EHR is challenging in the absence of specific caregiver fields. …”
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Using the Zero Trust Five-Step Implementation Process with Smart Environments: State-of-the-Art Review and Future Directions by Shruti Kulkarni, Alexios Mylonas, Stilianos Vidalis

“…These compromises are not just about data breaches or data exfiltration, but also about unauthorised access to devices that are not configured correctly and vulnerabilities in software components, which usually lead to insecure authentication and authorisation. …”
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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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High-performance sentiment classification of product reviews using GPU(parallel)-optimized ensembled methods by Annaluri Sreenivasa Rao, Yeruva Jaipal Reddy, Guggilam Navya, Neelima Gurrapu, Jala Jeevan, M. Sridhar, Desidi Narasimha Reddy, Siva Kumar Pathuri, Dama Anand

“…E-commerce firms use this data to gather attitudes and views from social media sites like Facebook, Twitter, Amazon, and Flipkart. …”
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Improving Forecasting Performance for Abnormal Time Series Data with the TFT-TPE Integrated Model and Google Trends by Son Ngo Van, Nhat Vo Viet Minh

“…Forecasting is essential in manufacturing and business, but is hindered by abnormal events like COVID-19. This paper proposes a model that integrates Temporal Fusion Transformer (TFT) with Tree-Structured Parzen Estimator (TPE), in which TFT is a deep neural network specifically designed for processing time series data to capture trends and model complex data variations and, at the same time, TPE is an optimization technique that uses a tree-like data structure to determine the best set of hyperparameters for TFT. …”
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Dual contribution of ASIC1a channels in the spinal processing of pain information by deep projection neurons revealed by computational modeling. by Magda Chafaï, Ariane Delrocq, Perrine Inquimbert, Ludivine Pidoux, Kevin Delanoe, Maurizio Toft, Frederic Brau, Eric Lingueglia, Romain Veltz, Emmanuel Deval

“…Windup is a well-known spinal pain facilitation process initially described several decades ago, but its exact mechanism is still not fully understood. …”
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Life cycle assessment and multicriteria decision making analysis of additive manufacturing processes towards optimal performance and sustainability by Jayant M. Raut, Prashant B. Pande, Kamlesh V. Madurwar, Rajesh M. Bhagat, Satyajit S. Uparkar, Nilesh Shelke, Haytham F. Isleem, Arpita, Vikrant S. Vairagade

“…This integration of the techniques in the framework would help address the real-time data and uncertainties that are inherent for adaptive and sustainable solutions in additive manufacturing processes.…”
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TEEMLEAP—A New Testbed for Exploring Machine Learning in Atmospheric Prediction for Research and Education by J. Wilhelm, J. Quinting, M. Burba, S. Hollborn, U. Ehret, I. Pena Sánchez, S. Lerch, J. Meyer, B. Verfürth, P. Knippertz

“…Moreover, first steps are taken toward the integration of new data‐driven components like FourCastNet and ML‐based post‐processing methods. …”
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Unveiling insights from unstructured wealth: a comparative analysis of clustering techniques on blockchain cryptocurrency data by Ramzi A. Haraty, Salma Sobeh

“…The digital world is rich in data like IoT, social media, healthcare, business, cryptocurrencies, cybersecurity, etc. …”
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Impact of “Assessment and Accreditation” Process on Quality of Higher and Medical Education in India: A Systematic Review and Meta-analysis by Venkata Venu Gopala Raju Srijampana, Bodhi Srividya Vennam, Phanindra Dulipala, Rajesh Potti

“…Introduction: India’s higher education system is evolving to meet global standards, driven by initiatives like the National Education Policy 2020. Assessment and accreditation play a pivotal role in ensuring the quality and credibility of educational institutions. …”
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Analysis of Method Performance for Quantitative Assessment of Listeria monocytogenes in Queso Fresco Cheese by Neha Singh, Ravinder Reddy, Karina Hettwer, Kirstin Frost, Matthew Kmet, Steffen Uhlig

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Design of an Efficient Model for Psychological Disease Analysis and Prediction Using Machine Learning and Genomic Data Samples by Alparthi Kumuda, Saroj Kumar Panigrahy

“…Therefore, this study developed the Psychological Disorders Machine Learning Genomic (PDMLG) model as an amalgamation of genetic algorithms and machine learning techniques in a predictive analysis model using genomic data samples. The two central components of the PDMLG model include the Genomic Fusion Model, which uses ensemble learning techniques like Random Forest, Gradient Boosting, and Neural Networks, and Deep Learning Model of Convolutional and Recurrent Neural Networks in processing genomic sequence data samples. …”
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ERROR HANDLING IN INTEGRATION WORKFLOWS by A. M. Nazarenko, A. A. Prokhorov

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Medication adherence scales in non-communicable diseases: A scoping review of design gaps, constructs and validation processes. by Maria Jose, Priyanka Rajmohan, T S Sulfath, Ravi Prasad Varma, Manoj Mohan, Nisha K Jose, Jerin Jose Cherian, Mohan Lal Bairwa, Tulika Goswamy, Aditi Apte, Praveenlal Kuttichira, Joe Thomas

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Spatial modeling of snow water equivalent in the high atlas mountains via a lumped process-based approach by Siham Acharki, Abdelghani Boudhar, Ayoub Bouihrouchane, Mostafa Bousbaa, Ismail Karaoui, Haytam Elyoussfi, Bouchra Bargam, El Mahdi El Khalki, Abdessamad Hadri, Abdelghani Chehbouni

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