Results 151 to 160 of about 5,384,791 (287)

Legal Professionals Use an Implicit Checklist to Assess Expert Witness Credibility

Behavioral Sciences &the Law, EarlyView.
ABSTRACT In a court of law, some forms of evidence are too technical to interpret without the help of an expert witness. However, expert testimony sometimes leads to wrongful conviction. We used an online survey to quantitatively compare how legal professionals (n = 122) and lay people (n = 109) understood what makes an expert witness credible.
Mahensingh Deonaran, Yvan I. Russell, Mandeep K. Dhami   +2 more
wiley   +1 more source

Enzymatic Electrosynthesis for Sustainable CO2 Conversion: Advancing Circular Carbon Economy

Carbon Energy, EarlyView.
Enzymatic electrosynthesis (EES) offers molecular precision in synthesizing value‐added products from CO2. We highlight its distinct edge over alternative enzyme‐hybrid systems and analyze electron transfer pathways. Key strategies to overcome electron transfer bottlenecks and expand product diversity are addressed, and also data‐driven approaches for ...
Yan Xie, Jia Ouyang, Manu Suvarna, Xiangzhou Yuan, Matthew R. Hill, Uwe Bornscheuer, Huiyan Zhang, Yong Sik Ok   +7 more
wiley   +1 more source

Balancing Impartiality and Advocacy: Observations, Lessons, and Suggestions From a Practicing Ombuds

Conflict Resolution Quarterly, EarlyView.
ABSTRACT Universities increasingly rely on ombuds offices as informal, impartial mechanisms for addressing conflict and strengthening institutional trust. Yet the ombuds role is frequently shaped by tension among impartiality, advocacy, and legal accountability. This paper examines the evolution of the Office of the Ombuds at the University of Maryland,
Brian Godette, Roger Ward, Leandra Cate
wiley   +1 more source

Traffic adversarial example attack and defense method based on explainable artificial intelligence

Tongxin xuebao
An adversarial example attack method based on XAI was proposed for AI-based NIDS. By identifying critical perturbation features with XAI and applying targeted perturbations while preserving traffic functionality, malicious traffic was gradually altered ...
MA Bowen, GUO Yuanbo, TIAN Jiwei, MA Jun, HU Yongjin   +4 more
doaj  

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 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

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

HOLMES: to Detect Adversarial Examples with Multiple Detectors

CoRR
Deep neural networks (DNNs) can easily be cheated by some imperceptible but purposeful noise added to images, and erroneously classify them. Previous defensive work mostly focused on retraining the models or detecting the noise, but has either shown limited success rates or been attacked by new adversarial examples.
openaire   +2 more sources

Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley   +1 more source

The Role of Trade Unions in Environmental Governance: Exploring Workers Legitimacy Judgments

Environmental Policy and Governance, EarlyView.
ABSTRACT Trade unions are increasingly expected to play a role in sustainability transitions, but their legitimacy as environmental governance actors remains underexplored. Our study uses a multidimensional framework to examine how workers, both union members and non‐members, evaluate trade union legitimacy “from below.” This framework distinguishes ...
Urša Golob, Branko Bembič, Klement Podnar   +2 more
wiley   +1 more source