Results 231 to 240 of about 29,335 (280)

All-solid passive organic optical limiter via coordination-bond anchoring strategy. [PDF]

Nat Commun
Chen D, Chen Y, Wang Y, Zhou Q, Luo F, Jiang J, Wang C, Wu F, Guo C, Zhu Z.   +9 more
europepmc   +1 more source

Accelerating the Roll‐Out of Modular Plants: From Engineering and Approval to Operation of Energy‐Efficient Modular Plants

Chemie Ingenieur Technik, EarlyView.
In the ENPRO REUNION project, a manufacturer‐independent modular plant concept was demonstrated by commissioning a pilot plant that integrated modules from different vendors and by expanding the module pool to include extraction and crystallization units.
Laura Marsollek, Mathias Schmitz, Sascha Lamm, Markus Heinbücher, Isabell Viedt, Shreyas Parbat, Peter Pelz, Leon Urbas, Norbert Kockmann   +8 more
wiley   +1 more source

Soft Multiaxial Strain Mapping Interface with AI-Driven Decoding for Silent Speech in Noise. [PDF]

Cyborg Bionic Syst
Hong S, Yoo J, Park SM.
europepmc   +1 more source

Artificial Intelligence as a Catalyst for Environmental and Social Sustainability Practices in SMEs: The Moderating Role of Sustainability, Digitalization, and Innovation Barriers

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the relationship between artificial intelligence and both environmental and social sustainability practices in small and medium‐sized enterprises, with a specific focus on the moderating effects of implementation barriers relating to sustainability, digitalization, and innovation.
Gülçinay Mumcu, Steven A. Brieger
wiley   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Embryonic development of the Mediterranean starfish Hacelia attenuata

Developmental Dynamics, EarlyView.
Abstract Background Starfish play essential ecological roles as predators and ecosystem regulators; however, detailed developmental descriptions exist for only a handful of species, none of which are from the Mediterranean Sea. Results In this study, we provide the first full account of the development of the Mediterranean starfish Hacelia attenuata ...
Silvia Caballero‐Mancebo, Laurent Gilletta, Janet Chenevert, Stefania Castagnetti   +3 more
wiley   +1 more source

Tick‐Tock, the Time Has Come: Leveraging TikTok to Understand, Prevent, and Treat Eating Disorders

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective TikTok—a highly engaging social media platform with a powerful algorithm that displays short videos—has become massively popular in recent years. As research highlights the concerning relationship between image‐based content on social media and disordered eating symptoms, TikTok may serve as an optimal platform to understand eating ...
Macarena Kruger, Isabella Pruscino, Caroline G. Martin, Elizabeth A. Velkoff   +3 more
wiley   +1 more source

Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang, Rui Li, Chang He, Xinfeng Zhu, Junning Wang, Rongfu Peng, Ho Ngoc Nam, Yanli Mao, Wei Liu, Mingshan Zhu, Yusuke Yamauchi   +10 more
wiley   +1 more source