Integrative technologies in nursing-led interventions for diabetes management: a systematic review of efficacy and outcomes by Ali Alhaiti

“…Clinical trial number Not applicable.…”
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Experimentally validated transient enthalpy-based FEM model for PCM-integrated building materials with advanced thermal and energy efficiency insights by Ajitanshu Vedrtnam, Kishor Kalauni, Nelson Soares

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A Comparative Study of Azure Custom Vision Versus Google Vision API Integrated into AI Custom Models Using Object Classification for Residential Waste by Cosmina-Mihaela Rosca, Adrian Stancu, Marius Radu Tănase

“…The research assesses the performance of the Azure Custom Vision Service (ACVS) model, which achieves high accuracy on training data but underperforms in real-time applications, with an accuracy of 95.13%. …”
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A Novel Deep Learning-Based Data Analysis Model for Solar Photovoltaic Power Generation and Electrical Consumption Forecasting in the Smart Power Grid by Camille Franklin Mbey, Felix Ghislain Yem Souhe, Vinny Junior Foba Kakeu, Alexandre Teplaira Boum

“…In this work, electrical consumption forecasting is long term and will consider smart meter data and socioeconomic and demographic data. Photovoltaic power generation forecasting is short term by considering climatic data such as solar irradiance, temperature, and humidity. …”
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A Systematic Study of Popular Software Packages and AI/ML Models for Calibrating In Situ Air Quality Data: An Example with Purple Air Sensors by Seren Smith, Theodore Trefonides, Anusha Srirenganathan Malarvizhi, Shyra LaGarde, Jiakang Liu, Xiaoguo Jia, Zifu Wang, Jacob Cain, Thomas Huang, Mohammad Pourhomayoun, Grace Llewellyn, Wai Phyo, Sina Hasheminassab, Joe Roberts, Kevin Marlis, Daniel Q. Duffy, Chaowei Yang

“…We also discussed limitations, applicability to other sensors, and the explanations for good model performances. …”
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Tropical Cyclones Across Global Basins: Dynamics, Tracking Algorithms, Forecasting, and Emerging Scientometric Research Trends by Vivek Singh, Gaurav Tiwari, Amarendra Singh, Rajeeb Samanta, Atul Kumar Srivastava, Deewan Singh Bisht, Ashish Routray, Sushil Kumar, Shivaji Singh Patel, Abhishek Lodh

“…Out of these 51 studies, it has been found that while most studies utilized satellite‐based methods, data assimilation (DA) techniques were emerging during 2006–2013, gaining momentum with machine learning (ML) applications post‐2019. …”
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Estimation of reference evapotranspiration in South Korea using GK-2A AMI channel data and a tree-based machine learning method by Bu-Yo Kim, Joo Wan Cha

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Probabilistic transmission models incorporating sequencing data for healthcare-associated Clostridioides difficile outperform heuristic rules and identify strain-specific differenc... by David W Eyre, Mirjam Laager, A Sarah Walker, Ben S Cooper, Daniel J Wilson, CDC Modeling Infectious Diseases in Healthcare Program (MInD-Healthcare)

“…We present a novel approach for integrating detailed epidemiological data on patient contact networks in hospitals with large-scale pathogen sequencing data. …”
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Building a Spatial Database by Developing a Work Environment to Accomplish the Automatic Transfer Process for Remote Sensing Data from Raster to Linear by Diaa Al-Berhawi

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Comparative verification of 3D reconstructed point cloud data: comparison of AI estimation and multi-view stereo methods using Nerfstudio and Metashape by Yuta Tsukamoto, Atsushi Hayashi, Kenichi Tokuda, Nobuo Kochi

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Trends in sleep dentistry research in Asia: A bibliometric analysis [version 2; peer review: 2 approved] by An’nisaa Chusida, Lia Taurussia Yuliana, Mokh Sujarwadi, Faizul Hasan, Ervina Restiwulan Winoto, Hendrik Setia Budi

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TECHNOLOGY FOR EFFICIENT USAGE OF HYDROCARBON-CONTAINING WASTE IN PRODUCTION OF MULTI-COMPONENT SOLID FUEL by B. M. Khroustalev, A. N. Pekhota

“…Main problems pertaining to usage of waste as a fuel and technologies for their application have been given in the paper. The paper describes main results of the investigations and a method for efficient application of viscous hydrocarbon-containing waste as an energy-packed component and a binding material while producing a solid fuel. …”
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Trends in sleep dentistry research in Asia: A bibliometric analysis [version 1; peer review: 2 approved] by An’nisaa Chusida, Lia Taurussia Yuliana, Mokh Sujarwadi, Faizul Hasan, Ervina Restiwulan Winoto, Hendrik Setia Budi

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Predicting postharvest weight loss and texture changes in table grapes using fruit color and machine learning by Xiaoyan Cheng, Yao Zhou, Zhengyang Huo, Ruiying Li, Shiqian Xu, Hao Qi, Jianyuan Zhu, Fei Wang, Yang Bi

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Eco-Printing Technique of Mimosa Tanned Sheepskin at Different Temperatures on Fastness and SEM of Tanned Leather by Elisa Nirmalawati, Ambar Pertiwiningrum, Mohammad Zainal Abidin

“…The quality of the sheepskin eco-print was evaluated by measuring the color fastness to rubbing, and SEM (Scanning Electron Microscopic). The data obtained were analyzed statistically using variance analysis of a complete randomized design with a unidirectional pattern. …”
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Defining acceptable data collection and reuse standards for queer artificial intelligence research in mental health: protocol for the online PARQAIR-MH Delphi study by Julia Hamer-Hunt, Dan W Joyce, Andrey Kormilitzin, Nenad Tomasev, Kevin R McKee

“…Stage 3 consists of consensus meetings to review and aggregate the Delphi survey responses, leading to stage 4 where we will produce a reusable toolkit to facilitate participatory development of future bespoke LGBTQI+–adapted data collection, harmonisation, and use for data-driven AI applications specifically in mental healthcare settings.Ethics and dissemination PARQAIR-MH aims to deliver a toolkit that will help to ensure that the specific needs of LGBTQI+ communities are accounted for in mental health applications of data-driven technologies. …”
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Data fusion-based improvements in empirical regression and machine learning for global daily ∼ 8 km resolution sea surface nitrate estimation and interpretation by Aifen Zhong, Difeng Wang, Fang Gong, Jingjing Huang, Zhuoqi Zheng, Xianqiang He, Qing Zhang, Qiankun Zhu

“…Comparative validation confirmed that our models surpass traditional approaches in accuracy and applicability, demonstrating their potential to advance global SSN monitoring. …”
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Light Path Modeling Based on Data Assimilation Using Changes in a Guided Light Passing Through a Packaged Optical Waveguide Device by Shizen Nakayama, Koichiro Ohkushi, Junpei Funatsuki, Tsuyoshi Konishi

“…The optical waveguide structure or light path is estimated by data assimilation using changes in a guided light passing through a packaged optical waveguide device. …”
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Encouraging reusability of computational research through Data-to-Knowledge Packages - A hydrological use case [version 2; peer review: 2 approved] by Markus Konkol, Sami Domisch, Astra Labuce, Vanessa Bremerich, Merret Buurman

“…To address this challenge, we introduce the Data-to-Knowledge Package (D2K-Package), a collection of research materials including source code and open FAIR data, virtual labs, web API services, and computational workflows. …”
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Global Navigation Satellite System Spoofing Attack Detection Using Receiver Independent Exchange Format Data and Long Short-Term Memory Algorithm by Alexandru-Gabriel Romaniuc, Vlad-Cosmin Vasile, Monica-Elena Borda

“…Global Navigation Satellite Systems (GNSS) are widely used for positioning, navigation, and timing (PNT) applications, making them a critical infrastructure component. …”
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