Helios.TALK: A decentralised messaging framework that preserves the privacy of users [version 2; peer review: 1 approved, 5 approved with reservations, 1 not approved] by Vasiliki Gkatziaki, Ioannis Sarridis, Nikos Giatsoglou, Nikos Sarris, Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris

“…Communication via digital means, such as mobile messaging applications (apps), plays an increasingly important role in everyday life. …”
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Technological functionality and system architecture of mobile health interventions for diabetes management: a systematic review and meta-analysis of randomized controlled trials by Xinran Yu, Yifeng Wang, Zhengyang Liu, Euitay Jung

“…The quality assessment results indicated that most studies performed well in the completeness of outcome data and selective reporting.DiscussionThis meta-analysis confirms that mobile health applications with practical technological functionalities and system architectures are beneficial in managing diabetes. …”
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A freely accessible, adaptable hollow-fiber setup to reproduce first-order absorption: illustration with linezolid cerebrospinal fluid pharmacokinetic data by N. Prébonnaud, A. Chauzy, N. Grégoire, C. Dahyot-Fizelier, C. Adier, S. Marchand, V. Aranzana-Climent

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Future prospects of 6G wireless communication: review of antenna technologies by Ameelia Roseline A, Pranav Mohan Kumar

“…Abstract The sixth generation (6G) wireless technology is designed for advanced applications such as immersive reality, autonomous vehicle communication, and holographic communication. …”
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Industry 4.0 and circular economy for bolstering healthcare sector: A comprehensive view on challenges, implementation, and futuristic aspects by Mohd Javaid, Abid Haleem, Ibrahim Haleem Khan, Ravi Pratap Singh, Abid Ali Khan

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Underwater Wireless Laser-Based Communications Using Optical Phased Array Antennas by Ali Derakhshandeh, Stephan Pachnicke, Peter A. Hoeher

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Analyzing factors promoting teachers’ use of Lirmi: a digital monitoring system in Chile using the technology acceptance model by Lucas Silva, Maritté Tagle, Isabel Loncomil

“…Digital assessment data’s increasing prevalence in schools offers a powerful tool to enhance educational outcomes, yet its adoption by teachers varies widely. …”
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Analysis of the PointNet neural network architecture by L. A. Shchenyavskaya, D. A. Gura, R. A. Dyachenko

“…A type of neural network is considered that directly uses point clouds, which takes into account the invariance of permutations of points in the input data. The network is determined to provide a unified architecture for applications ranging from object classification, part segmentation, and scene semantics. …”
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Distributions of Wide Binary Stars in Theory and in Gaia Data. I. Generalized Ambartsumian (1937) Approach and the Family of Power-law Distributions of Eccentricity by Valeri V. Makarov

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Multi-Index Assessment and Machine Learning Integration for Drought Monitoring Using Google Earth Engine by Xulong Duan, Rana Waqar Aslam, Syed Ali Asad Naqvi, Dmitry E. Kucher, Zohaib Afzal, Danish Raza, Rana Muhammad Zulqarnain, Yahia Said

“…This study advances multisensor remote sensing data fusion integrating optical (Sentinel-2, MODIS), thermal (LST), and hydrological (SMAP) sensors with climate datasets to evaluate soil moisture dynamics at five depths (0–50 cm) across nine agricultural zones (October 2021–September 2023), leveraging AI and machine learning to address data quality challenges in heterogeneous sensor inputs. …”
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The effect of flow experience on reuse intention of mobile navigation apps: The mediating role of location-based mobile service quality by Erdem Ozkan, Bahar Yasin, Aylin Ecem Gursen, Habib Mehmet Akpinar

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A Conceptual Model for the Evaluation of Financial Sustainability by İbrahim Can, Refika Bakoğlu

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A network approach to addressing the needs of patients with incurable head and neck cancer and their families by Joanne M Patterson, Catriona R Mayland, Peter Bath, Michelle Lawton, Valerie Bryant, David Hamilton, Madina Hasan, Tony Stone, Richard Campbell, Annabel Crum, Linda Sharp

“…A directory of data sources was developed. Working in an iterative way, data sets and relevant data fields were mapped to the 12 potential research priority areas to assess the applicability of using routine data to address these priorities. …”
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Multimodal Classification Technique for Fall Detection of Alzheimer’s Patients by Integration of a Novel Piezoelectric Crystal Accelerometer and Aluminum Gyroscope with Vision Data... by V. Mohan Gowda, Megha P. Arakeri, Vasireddy Raghu Ram Prasad

“…Smart expert systems line up with various applications to enhance the quality of lifestyle of human beings, such as major applications for smart health monitoring systems. …”
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MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D model by Isabell Stein, Helen Jossberger, Hans Gruber

“…The x, y and z coordinates of the fixations are available as a point cloud and as .csv output. First exploratory application and evaluation tests are promising: MAP3D offers innovative ways of post-hoc mapping fixation data on 3D stimuli with open-source software and thus provides cost-efficient new avenues for research. …”
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Fault Diagnostics of Synchronous Motor Based on Artificial Intelligence by Samir Abood, Annamalai Annamalai, Mohamed Chouikha, Turk Nejress

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IDENTIFIKASI MODEL SELF-EXCITING THRESHOLD AUTOREGRESSIVE DENGAN SWITCHING TWO REGIME (KASUS PADA DATA EKSPOR AGRIKULTUR DI INDONESIA) by Husnun Nur Ghiffari Putri Riyansyah, Dewi Retno Sari Saputro, Bowo Winarno

“…In this research, the two stage parameter estimation method is used with OLS and the second stage parameter estimation is used to optimisze the parameter values ​​that are not significant in the model. In its application, the SETAR model (2,1,1) was obtained to model agricultural export data in Indonesia and the MAPE value was 25%.…”
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Localization of Conveyor Belt Damages Using a Deep Neural Network and a Hybrid Method for 1D Sequential Data Augmentation by Iwona Komorska, Andrzej Puchalski, Damian Bzinkowski

“…For damage diagnosis, a Long Short-Term Memory Network with an attention mechanism (LSTM-AM) was employed, enabling anomaly detection in strain gauge signals. The application of the LSTM-AM algorithm allows for real-time monitoring of conveyor operation and facilitates precise localization and estimation of damage size through data synchronization.…”
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Smart Mobility in a Secondary City: Insights from Food Delivery App Adoption Among Thai University Students by Manop Chantasoon, Aphisit Pukdeewut, Prasongchai Setthasuravich

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Augmented Reality for Natural Heritage Education: A Design Framework for Enhancing Indoor Experiences by Athanasios Evagelou, Alexandros Kleftodimos, Magdalini Grigoriou, Georgios Lappas

“…Data were collected from 148 K-12 students during the 2023–2024 school year. …”
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