Assisted suicide within long-term care facilities for older adults: organizational issues and processes experienced by health and social care providers in Switzerland by Dolores Angela Castelli Dransart, Elena Pedrazzini Scozzari

“…A total of 36 professionals (physicians, nurses, nursing assistants, social workers, directors) were interviewed. Data were analyzed according to Grounded Theory principles.ResultsThe results uniquely describe how the process unfolds within facilities, from the initial request for suicide assistance to the aftermath of death. …”
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Dynamic domain analysis for predicting concept drift in engineering AI-enabled software by Shahzad Murtuza, Barzamini Hamed, Wilson Joseph, Alhoori Hamed, Rahimi Mona

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Modeling of cooking and phase change of egg white using computational fluid dynamics by Rubén E. Sánchez-García, Orlando Castilleja-Escobedo, Rodrigo Salmón-Folgueras, José Luis López-Salinas

“…However, potential overestimation in simulations was observed, likely due to differences in quantifying techniques and non-uniform cooking processes.…”
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Sarcolemma resilience and skeletal muscle health require O-mannosylation of dystroglycan by Jeffrey M. Hord, Sarah Burns, Tobias Willer, Matthew M. Goddeeris, David Venzke, Kevin P. Campbell

“…Extensive post-translational processing and O-mannosylation are required for α-DG to bind ECM proteins, which is mediated by a glycan structure known as matriglycan. …”
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Efficacy of liraglutide in patients with metabolic-associated steatotic liver disease in type 2 diabetes mellitus by Yu.M. Stepanov, O.V. Zinych, I.A. Klenina, K.O. Shyshkan-Shyshova, N.M. Kushnarоva

“…Objective: to investigate the effects of glucagon-like peptide-1 receptor agonist (arGLP-1) on the severity of metabolic disorders in patients with MASLD and type 2 diabetes mellitus in the dynamics of treatment. …”
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Automated detection of craters on the lunar surface using deep learning: A review with insights from Chandrayaan-2 TMC-2 data by Mimansa Sinha, Sanchita Paul

“…The Moon’s surface, marked by craters, serves as a crucial record of the Solar System's impact history, offering key insights into planetary formation and evolution. As missions like Chandrayaan-2 generate vast amounts of high-resolution lunar data, manual annotation of features such as craters, rilles, and lava tubes become increasingly impractical. …”
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Universal IoT-Enabled Smart Battery Charging Optimization: Leveraging AI, Automata Theory, and Real-Time Data for Enhanced Lifespan and Efficiency by Arora Divyansh, Goswami Ananya, Ranjan Mritunjay, Sattar Arif Md

“…The system constantly collects and processes data from IoT sensors with real-time charging cycle and battery health feedback. …”
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Forecasting Stock Returns Using Long Short-Term Memory (LSTM) Model Based on Inflation Data and Historical Stock Price Movements by Nur Faid Prasetyo, Wina Witanti, Asep Id Hadiana

“…The findings highlight the relevance of incorporating macroeconomic factors into stock return forecasting, providing valuable insights for investors and financial analysts seeking data-driven strategies in decision-making processes.…”
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An Interpretable Machine Learning-Based Hurdle Model for Zero-Inflated Road Crash Frequency Data Analysis: Real-World Assessment and Validation by Moataz Bellah Ben Khedher, Dukgeun Yun

“…This study introduces a machine learning-based hurdle model framework tailored for analyzing zero-inflated crash frequency data, addressing the limitations of traditional statistical models like the Poisson and negative binomial models, which struggle with zero-inflation and overdispersion. …”
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Application of Deep Learning to Identify Flutter Flight Testing Signals Parameters and Analysis of Real F-18 Flutter Flight Test Data by Sami Abou-Kebeh, Roberto Gil-Pita, Manuel Rosa-Zurera

“…This paper introduces a robust deep learning approach to process sine dwell signals from aeroelastic flutter flight tests, characterized by short data lengths (less than 5 s) and low frequencies (less than 10 Hz). …”
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A Methodology for Turbine-Level Possible Power Prediction and Uncertainty Estimations Using Farm-Wide Autoregressive Information on High-Frequency Data by Francisco Javier Jara Ávila, Timothy Verstraeten, Pieter Jan Daems, Ann Nowé, Jan Helsen

“…To overcome these limitations, we propose a probabilistic methodology for turbine-level active power prediction and uncertainty estimation using high-frequency SCADA data and farm-wide autoregressive information. The method leverages a Stochastic Variational Gaussian Process with a Linear Model of Coregionalization, incorporating physical models like manufacturer power curves as mean functions and enabling flexible modeling of active power and its associated variance. …”
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New data on weevils of the subgenus Pliadonus Reitter, 1912 (Coleoptera: Curculionidae: Otiorhynchus) with the descriptions of three new species from the Caucasus and Turkey by G.E. Davidian

“…New data about morphology and distribution of O. reitteri are given. …”
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A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen by Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

“…In contrast, ML-based methods, particularly deep learning approaches like convolutional neural networks (CNNs), automatically extract relevant features from raw data, improving the accuracy and adaptability of the damage identification process. …”
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OPTIMIZATION OF FUZZY INVENTORY MANAGEMENT IN INDUSTRIAL PROCESSES USING DEEP LEARNING ALGORITHMS: A HYBRID APPROACH FOR ENHANCING DEMAND FORECASTING AND SUPPLY CHAIN EFFICIENCY by K. Kalaiarasi*, S. Swathi

“…In today’s dynamic business landscape, effective inventory management is essential for minimizing costs and maximizing profitability. Traditional models like EOQ and JIT often fall short in handling demand and supply uncertainties due to their reliance on precise data. …”
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Structuring and centralizing breast cancer real-world biomarker data from pathology reports through C-LAB artificial intelligence platform by Florent Le Borgne, Camille Garnier, Camille Morisseau, Yanis Navarrete, Yanina Echeverria, Juan Mir, Jaume Calafell, Tanguy Perennec, Olivier Kerdraon, Jean-Sébastien Frenel, Judith Raimbourg, Mario Campone, Maria Fe Paz, François Bocquet

“…C-LAB ® demonstrates significant potential to reduce manual workload, centralize data, and enable scalable, real-time reporting. Conclusion AI technologies like C-LAB ® show significant potential in creating accessible and actionable digital factories from complex pathology data, aiding in the precision management of diseases such as breast cancer diagnostics and treatment.…”
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Private detection of relatives in forensic genomics using homomorphic encryption by Fillipe D. M. de Souza, Hubert de Lassus, Ro Cammarota

“…Homomorphic Encryption (HE) emerges as a promising solution, enabling the execution of complex functions on encrypted data without the need for decryption. HE not only permits the processing of PII as soon as it is collected and encrypted, such as at a crime scene, but also expands the potential for data processing by multiple entities and artificial intelligence services. …”
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Process evaluation of Tuberculosis infection control and prevention practice at public health facilities in Tegede district, Northwest Ethiopia: Facility-based cross-sectional desi... by Endalkachew Mesfin Gebeyehu, Ashagere Mebratu, Asmamaw Atnafu, Asebe Hagos

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Educational and research utility of the registrar clinical encounters in training (ReCEnT) project: an exploration of mechanisms using the context, input, process and product (CIPP... by Parker Magin, Andrew Davey, Michael Tran, Susan Wearne

“…Input: multiple stakeholder involvement is both advantageous and a logistical challenge, with the programme’s success dependent on registrars, practices and training providers providing detailed and accurate data, with prompt subsequent processing. Process: contemporaneous consultation data collection in different stages of training constitutes a component of registrars’ programmatic assessment. …”
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Process and outcome of a four-week garden-enhanced nutrition education programme to improve knowledge and vegetable consumption of school-age children in Ibadan, Nigeria by Shirley I. Ejoh, Ifeoluwa Bodunde, Aminat Oyedele, Melanie A. Gerdes, Rachel E Scherr

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A geographic information system and analytic hierarchy process drought risk analysis approach in arid south-western Zimbabwe: Prospects for informed resilience building by Oshneck Mupepi, Mark Makomborero Matsa, John Hove

“…GIS and remote sensing data were used to execute the multi-criteria AHP for the determination of drought vulnerability. …”
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