Results 111 to 120 of about 33,518 (261)
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah +4 more
wiley +1 more source
A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis +7 more
wiley +1 more source
ABSTRACT In recent years, the widespread application of deep reinforcement learning (DRL) in autonomous systems has highlighted the importance of achieving high sample efficiency under sparse reward conditions. To improve sample efficiency in sparse reward environments, this paper proposes a reinforcement learning framework built upon the Soft Actor ...
Jingyi Huang +5 more
wiley +1 more source
Closeness and disappointment in Jordanian friendships Proximité et déception en amitié en Jordanie
Western folk models of friendship assume that friends like one another, implying mutually positive feelings. However, accounts of friendship from across times and places suggest that disappointment goes along with friendship as often as mutual affection.
Susan MacDougall
wiley +1 more source
Abstract Smartphone manufacturers' enhanced privacy and security measures, such as File‐Based Encryption (FBE), have disrupted traditional data extraction techniques, necessitating the adoption of Full File System Extraction (FFS). FFS requires booting a smartphone, decrypting its UserData partition, and accessing files individually, a process that ...
Sanghyun Yoo, Yunji Park, Doowon Jeong
wiley +1 more source
Abstract Digital forensic investigations increasingly process unstructured cryptocurrency‐fraud complaints at intake while preserving analyst oversight before evidentiary or downstream investigative use. This validation study evaluates whether human‐supervised multi‐model LLM extraction can recover triage‐relevant identifiers from California DFPI pig ...
Sanghyeob Ko +3 more
wiley +1 more source
We decode mitochondrial genomes across all extant canids, revealing lineage‐specific codon optimization driven by altitude, predation, and body size. A tripartite framework integrates geological events, metabolic constraints, and adaptive radiation to explain carnivore evolution.
Xiaoyang Wu +8 more
wiley +1 more source
ABSTRACT This study examines the negative effect of earnings pressure (EP) on corporate environmental, social, and governance (ESG) performance and explores governance mechanisms that can address this problem. Drawing on behavioural agency theory and incorporating insights from resource allocation theory and agency theory, this paper identifies the key
Sha Tang +2 more
wiley +1 more source
ABSTRACT Background/Objectives To estimate the lifetime and point prevalence of alopecia areata (AA) among Australians aged ≥ 15 years. Methods A cross‐sectional survey was conducted from August to September 2024 in a quota‐balanced sample of the Australian population, aged ≥ 12 years (exploratory objective included participants aged 12–14 years ...
Rodney Sinclair +9 more
wiley +1 more source
ABSTRACT This update and revision of the international guideline for urticaria was developed in accordance with the methods recommended by Cochrane and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) working group. It is an initiative of the Global Allergy and Asthma Excellence Network (GA2LEN) and its Urticaria and ...
T. Zuberbier +221 more
wiley +1 more source

