Design Preferences, Routines, and Well-Being of Older Adults Using Voice-Guided Digital Mindfulness: Qualitative Interview Study by Lucy McCarren, Sanna Kuoppamäki

“…ResultsFrom the coding stage, 23 codes describing the digital mindfulness experience were identified from the data. These codes were thematized to group the codes together, resulting in 7 subthemes. …”
Get full text

RATIONALIZATION OF THE NUSANTARA TAFSIR AND THE MIDDLE EAST: A COMPARATIVE STUDY OF THE INTERPRETATION OF AL-FĀTIHAH BY KH. ZAINI MUN’IM AND AHMAD MUST{AFĀ AL-MARĀGHĪ by Mas'ud Ubaidillah

“…The interpretation of the Qur’an continues to develop following the social, cultural, and geographical context—the interpretations of KH. …”
Get full text

Decoding laying hen behavior and physiological status through acoustic biomarkers: temporal patterns, rooster-hen vocalization identification in group housing and environmental ada... by Xuanting Lin, Wanjun Zhu, Longshen Liu, Zhenlei Zhou

“…In this study, continuous audio data were collected from commercial chicken houses over a period of 15 days, in addition to temperature and humidity index (THI) analysis, to develop a convolutional neural network (CNN)-based model for classifying chicken squawks. …”
Get full text

An Energy-Efficient Dynamic Feedback Image Signal Processor for Three-Dimensional Time-of-Flight Sensors by Yongsoo Kim, Jaehyeon So, Chanwook Hwang, Wencan Cheng, Jong Hwan Ko

“…This approach enhances energy efficiency by avoiding the processing of all sensor data while maintaining or surpassing accuracy levels. …”
Get full text

Beyond the Scoreboard: A Machine Learning Investigation of Online Games’ Influence on Jordanian University Students’ Grades by Mohammad Alshraideh, Abeer Abdel-Jabbar Abu-Zayed, Martin Leiner, Iyad Muhsen AlDajani

“…In terms of the prediction process, the training data encompassed 60%, 70%, and 80% of the dataset. …”
Get full text

Using telemedicine and wearable technology to establish a virtual clinic for people with Parkinson’s disease by Lauren Evans, Biju Mohamed, Edward Christopher Thomas

“…Background To develop an effective, patient-centred and sustainable service, we set up a virtual clinic (VC) for patients with Parkinson’s disease, combining phone consultations and reports from wearable technology. …”
Get full text

Empirical insights into business intelligence adoption and decision-making performance during the digital transformation era: Extending the TOE model in the Jordanian banking secto... by Nour Qatawneh

“…Moreover, the use of BI in developing countries, like Jordan, is remain at an early stage. …”
Get full text

Views of key stakeholders on deprescribing preventive medication in people living with dementia: a qualitative systematic review protocol by Nikolaos Efstathiou, Ian Maidment, Clare Bates, Claire Sutton, Nesrein Hamed

“…One-third of older people will develop dementia, and they may not have the mental capacity to decide whether to continue or withdraw preventive medication. …”
Get full text

Proteomic risk scores for predicting common diseases using linear and neural network models in the UK biobank by Alexander Smith, Paul Elliott, Manuel Mayr, Abbas Dehghan, Ioanna Tzoulaki

“…Abstract Plasma proteomics provides a unique opportunity to enhance disease prediction by capturing protein expression patterns linked to diverse pathological processes. Leveraging data from 2,923 proteins measured in 53,030 UK Biobank participants, we developed proteomic risk scores for 27 common outcomes over 5- and 15-year follow-up periods using two approaches: a linear ElasticNet regression model and a deep learning neural network (NN) model. …”
Get full text

Examining men’s attitudes toward family planning in Istanbul, Turkey by Derya Bağlan, Tuğba Yilmaz Esencan

“…Abstract Background Family planning (FP) is a vital component of reproductive health and gender equality, particularly in developing countries. Despite the critical role of men in FP decision-making, their involvement remains limited due to sociocultural factors. …”
Get full text

Implications of a travel connectivity-based approach for infectious disease transmission risks in Oceania by Luis Furuya-Kanamori, Eric Nilles, Angela Cadavid Restrepo, Helen Mayfield, Colleen L Lau

“…The Infectious Disease Vulnerability Index (IDVI) was incorporated into the analysis as an indicator of each country’s capacity to contain an outbreak. …”
Get full text

Applicability of the Reinforced Ground Embankments on Sloped Terrain and Their Comparison with Alternative Rockfall Protection System Solutions: Kanlıpelit Case by Muhammet Çelik, Mohammad Manzoor Nasery

“…Initially rock fall analyses were performed on 8 cross sections in order to obtain bounce height, velocity and total kinetic energy values prior to constructing the platform. The same analysis was once again performed following the platform construction and the obtained data were compared. …”
Get full text

Predictive modeling of coagulant dosing in drilling wastewater treatment using artificial neural networks by Mahyar Kalhormohammadi, Sanaz Khoramipour

“…After conducting sensitivity analysis to select relevant input-output parameters, predictive models were developed using Recurrent Neural Networks (RNN), a hybrid PSO-RNN model, Extreme Learning Machines (ELMs), and Random Forest (RF). …”
Get full text

Bridge Geometric Shape Measurement Using LiDAR–Camera Fusion Mapping and Learning-Based Segmentation Method by Shang Jiang, Yifan Yang, Siyang Gu, Jiahui Li, Yingyan Hou

“…The main contributions include the following: (1) A synchronized LiDAR–camera fusion system integrated with an unmanned aerial vehicle (UAV) and a microprocessor was developed, enabling the flexible and large-scale acquisition of bridge images and point clouds; (2) A multi-sensor fusion mapping method coupling visual-inertial odometry (VIO) and Li-DAR-inertial odometry (LIO) was implemented to construct 3D bridge point clouds in real time robustly; and (3) An instance segmentation network-based approach was proposed to detect key structural components in images, with detected geometric shapes projected from image coordinates to 3D space using LiDAR–camera calibration parameters, addressing challenges in automated large-scale point cloud analysis. …”
Get full text

Numerical modeling and neural network optimization for advanced solar panel efficiency by Udit Mamodiya, Indra Kishor, Mohammed Amin Almaiah, Monia Hamdi, Rami Shehab, Tayseer Alkhdour

“…Experimental validation was performed using UTL 335W and 330W PV modules, where real-time data acquisition was followed by AI-driven optimization. …”
Get full text

Gouty arthritis patients’ diagnostic, biochemical, and hematological characteristics study: a single-center retrospective study by Hua-nan Li, Jing Liu, Zichen Shao, Wei Xiong, Ling Cheng

“…Methods A single-center retrospective analysis was conducted on 8,344 patients with acute gouty arthritis admitted to our hospital between January 2014 and December 2023. …”
Get full text

A Compact Device Model for a Piezoelectric Nano-Transistor by L. Neil McCartney, Louise E. Crocker, Louise Wright, Ivan Rungger

“…An approximate compact model was developed to provide a convenient method of exploring the initial design space when investigating the performance of micro-electronic devices such as nano-scaled piezoelectronic transistors, where fast ball-park estimates can be very helpful. …”
Get full text

Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment by Shikha Chaganti, Vivek Singh, Alasdair Edward Gent, Rishikesan Kamaleswaran, Ali Kamen

“…IntroductionEarly identification of sepsis in the emergency department using machine learning remains a challenging problem, primarily due to the lack of a gold standard for sepsis diagnosis, the heterogeneity in clinical presentations, and the impact of confounding conditions.MethodsIn this work, we present a deep-learning-based predictive model designed to enable early detection of patients at risk of developing sepsis, using data from the first 24 h of admission. …”
Get full text

What are the implications for practice that arise from studies of medication taking? A systematic review of qualitative research. by Mohammed Ahmed Rashid, Nadia Llanwarne, Natalie Heyns, Fiona Walter, Jonathan Mant

“…<h4>Methods and findings</h4>5 databases (MEDLINE, PsycINFO, EMBASE, SCOPUS, CINAHL) were systematically searched to identify published research papers using qualitative methodologies, which explored medication-taking experiences in patients, citizens, carers, relatives and clinicians. Data were extracted independently by at least two clinician reviewers. …”
Get full text

A Levelized Multiple Workflow Heterogeneous Earliest Finish Time Allocation Model for Infrastructure as a Service (IaaS) Cloud Environment by Farheen Bano, Faisal Ahmad, Mohammad Shahid, Mahfooz Alam, Faraz Hasan, Mohammad Sajid

Get full text