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Federated learning (FL) is a decentralized machine learning (ML) approach that can be used for intrusion detection in Internet of Things (IoT) devices. It involves the local training of AI models and their aggregation at...

To evaluate the frequency and types of data availability statements (DASs) of publications in journals indexed in the Dentistry, Oral surgery and Medical (DOM) category of Journal Citation Reports (JCR) database, and to ...

Vehicular communication applications are expanding quickly because of the approach of related technologies, such as vehicular cloud and the Internet of Vehicles (IoV). The combination of the Internet of Things (IoT) and ...

The Indonesian Navy organization has the duties and responsibilities of state sovereignty. In carrying out its duties, very large and large data and real time data include data on ships in all Indonesian waters from sate...

Pump-jet propulsors are widely used in marine applications because of their advantages in propulsive efficiency, cavitation performance, and low noise performance. However, the lack of a standard series database still li...

The study investigates how job-sharing practices influence academic staff’s perceived organisational performance of universities in Tanzania. Guided by Herzberg’s Two-Factor Theory, the study conceptualises job shari...

Research Aims: This study aims to analyze the relationship between work motivation, specialist development, knowledge sharing, and career development in an organizational context. Design/Methodology/Approach: This resea...

This study aims to analyze the influence of Knowledge Sharing and capabilities on the performance of Jember Regency Bawaslu employees, with Employee Engagement as an intervening variable. The background of this research ...

Aim: This study examines the effect of physician-patient communication on sharing healthcare experiences on social media and evaluates the mediating role of patient satisfaction in this relationship. Method: The proposed...

Purpose: This study examines whether trust in the sharing economy (SE) is driven more by decentralised, peer-based mechanisms (normative or cultural-cognitive institutions) or centralised regulatory authority. Design/me...

Abstract Access to large, diverse biomedical datasets is critical for advancing medical research, yet privacy regulations severely restrict data sharing. We present an end-to-end framework for privacy-preserving health d...

Purpose - This study aims to prove the impact of the distribution of social funds (qardhul hasan-QH and zakah funds) on the cost of a Profit-Sharing Investment Account (PSIA) immediately and for a long period in Islamic ...

Abstract The development of trustworthy AI models is crucial, particularly for critical medical applications such as brain tumor detection using MRI images. However, medical images are being increasingly targeted by adve...

Abstract Increasing concerns about greenhouse gas emissions and local air pollution have motivated the search for sustainable transportation alternatives. Electric vehicles (EVs) offer a promising solution, yet their pot...

Abstract Artificial intelligence (AI) has transformed social media into a powerful tool for educational learning engagements. WeChat, a Chinese social media platform, is extensively used by students for academic learning...

Purpose:: The study examines the intricate relationships among Environmental, Social, and Governance (ESG) factors, Financial Technology (FinTech), board-specific skills, and audit committee expertise. It also assesses h...

Abstract With the increasing performance requirements for data acquisition in applications such as the Internet of things and artificial intelligence, analog-to-digital converters (ADCs) face stringent trade-offs among s...

Abstract Background The NHS has introduced a range of new and extended roles in recent decades. Physician associates / assistants (PAs) have become one of the most politically scrutinised of these roles. In 2024, the UK ...

Abstract Background In the context of a growing appreciation for the wellbeing of the health workforce as the foundation of high-quality, sustainable health systems, this paper presents findings from two complementary st...

The increasing use of real-world evidence (RWE) and real-world data (RWD) to assess post-market medical devices (MDs) might satisfy the urgent need for data sharing and traceability. This study sought to (i) get an overv...

Abstract Precision oncology relies on access to high-quality data for increasingly smaller patient subgroups. The international atomCAT consortium investigates the potential of federated learning to support this, using a...

The increasing complexity of global financial systems has necessitated the adoption of more efficient and transparent mechanisms for combating money laundering (AML). Blockchain technology, with its decentralized, immuta...

BackgroundAutistic children experience enduring difficulties with emotion regulation and daily participation. Emotion-oriented play-learning tools (EPLTs, sensory play-learning tools for supporting emotion and self-regul...

Replicating observational-coding studies is notoriously difficult: Coder variance attenuates effect sizes, protocols can be opaque, and raw text/video/audio cannot always be shared. In this tutorial, I present a three-st...