Results 41 to 50 of about 175,979 (284)

Generative Models for Crystalline Materials

open access: yesAdvanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni   +15 more
wiley   +1 more source

Association between Noise Exposure and Occupational Stress among Coal Miners

open access: yesNoise and Health
Background: Detrimental occupational environmental exposure constitutes a significant external factor influencing occupational stress. This study aimed to examine the correlation between noise exposure and the risk of occupational stress in coal miners ...
WenQi Jiang   +4 more
doaj   +1 more source

Noise exposure in occupational setting associated with elevated blood pressure in China

open access: yesBMC Public Health, 2017
Background Hypertension is the primary out-auditory adverse outcome caused due to occupational noise exposure. This study investigated the associations of noise exposure in an occupational setting with blood pressure and risk of hypertension.
Shuchang Chen   +8 more
doaj   +1 more source

Developing a framework of non-fatal occupational injury surveillance for risk control in palm oil mills [PDF]

open access: yes, 2018
Non-fatal occupational injury (NFOI) and its risk factors have become a current global concern. The need of research towards the relationship between occupational injury and its risk factor is essential, to fulfil the purpose and setting the priority ...
Ruslan, Rumaizah
core  

UK police custody officers’ psychosocial hazard exposures and burnout [PDF]

open access: yes, 2013
Purpose – Stress research in the UK policing has largely neglected to account for variance in the type of psychosocial hazard officers are exposed to across policing roles, highlighting the need for role-specific research that is capable of informing ...
Houdmont, Jonathan
core   +2 more sources

Anti‐Slip Material‐Based Strategies and Approaches

open access: yesAdvanced Materials Technologies, EarlyView.
This review highlights the principle mechanisms of slipping at the microscale, linking contact mechanics with a friction behavior model for surface interfaces. Main strategies to develop anti‐slip properties to the surfaces are discussed alongside standardized testing approaches.
Sogand Abbaspoor‐Zanjani   +3 more
wiley   +1 more source

Wide‐Range Adaptive Metal Oxide for Hydrogen Sulfide Detection From Earth to Space‐Like Environments

open access: yesAdvanced Science, EarlyView.
This work presents a gas sensing platform based on Cu‐doped SnO2 microspheres that operates reliably from ambient to space‐like conditions. The sensor maintains performance across vacuum and cryogenic environments, bypassing traditional oxygen‐mediated mechanisms, utilizing direct chemisorption and interfacial charge transfer.
Xi Chen   +9 more
wiley   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

open access: yesAdvanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas   +6 more
wiley   +1 more source

Association Between Occupational Noise and cardiovascular events: A Literature Review

open access: yesCaspian Journal of Health Research, 2022
Background: Occupational noise is an occupational risk factor that might affects the body system. Objective: A literature review research was implemented to review the published studies that reported relationships between occupational noise and ...
Elahe Oveisi, Duha Ali
doaj  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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