Risk analysis engineering - Open Access .click

Results 161 to 170 of about 31,395,953 (255)

Comment on "Developing machine learning models to improve cardiovascular risk prediction for people living with HIV". [PDF]

Int J Cardiol Cardiovasc Risk Prev
Banothu N, Bhukya R, Kumar BS.
europepmc +1 more source

Design and evaluation of FEBS Education and Training Academy module – Integrating generative artificial intelligence into life‐science education

FEBS Open Bio, EarlyView.
Life‐science educators from 14 countries redesigned their own course materials with generative AI in a three‐session, pedagogy‐first FEBS Education and Training Academy workshop built on PICRAT. Among 12 matched respondents, four more reported high confidence in each of five practical domains, and 10 of 13 reported implementing at least one idea ...
Zvonimir Mlinarić, Ali Burak Özkaya
wiley +1 more source

Real-World Validation of an AI-Based Opportunistic Osteoporosis Risk Stratification Tool Using Chest Radiographs in a Male-Predominant Cohort. [PDF]

Healthcare (Basel)
Tu KC +5 more
europepmc +1 more source

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source

AI-driven collision risk prediction and debris optimization in low earth orbit. [PDF]

Sci Rep
Alkhazraji E, Yahia ME, Tolba RE, Alharthi NS. +3 more
europepmc +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source

scURL: uncertainty-sharpened representation learning for single-cell multi-omics clustering. [PDF]

Bioinformatics
Liu H +8 more
europepmc +1 more source

Ethical Foreground and Background in Adult Educator Work

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Adult educators work in a complex ethical environment. The very act of contributing to the learning of another is fraught with moral overtones. In this paper we consider the ethical dimensions of adult educator practice by distinguishing the ethical features of the context or ‘background’ of practice from the ethical capabilities and decision ...
Steven Hodge, Sonal Nakar
wiley +1 more source

Suicide across occupational groups in Australia, 2001-2022: a retrospective mortality study. [PDF]

BMJ Public Health
Maheen H, King T.
europepmc +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source

environmental technology
sanitary engineering
risk analysis

rockfall
deep learning