Results 91 to 100 of about 65,893 (254)

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Auditory Hyperresponsivity in Chronic Back Pain: A Randomized Controlled Trial of Pain Reprocessing Therapy

Annals of Neurology, EarlyView.
Objective Heightened sensitivity to noxious stimulation is a hallmark of chronic pain. Emerging evidence suggests heightened unpleasantness to non‐noxious (eg, auditory) aversive stimulation also characterizes chronic pain, but its magnitude, neural mechanisms, and treatment modifiability remain unknown.
Alina E. C. Panzel, Christian Büchel, Andrew Leroux, Tor D. Wager, Yoni K. Ashar   +4 more
wiley   +1 more source

High Prevalence of SOD1 Pathogenic Variants in the UK Biobank: Implications for Early Intervention in Amyotrophic Lateral Sclerosis

Annals of Neurology, EarlyView.
Objective SOD1 is the second most frequently mutated gene in European patients with amyotrophic lateral sclerosis (ALS). Given the recent authorization of SOD1‐targeted antisense oligonucleotides for SOD1‐ALS, prompt screening for SOD1 mutations in patients with ALS patients is highly recommended.
Delia Gagliardi, Chiara Villella, Matteo Zanovello, Virginia Iacobelli, Stefania Corti, Giacomo Pietro Comi, Pietro Fratta, Henry Houlden, Arianna Tucci, Dario Ronchi   +9 more
wiley   +1 more source

An artificial neural network–based deep learning model to predict combined stress impact and interaction in plants

Applications in Plant Sciences, EarlyView.
Abstract Premise Plants are frequently exposed to combinations of abiotic and biotic stresses that pose a greater threat to yield and productivity than individual stresses. However, knowledge of the impact of many stress combinations in numerous plants is limited due to the lack of experimental data, which could take decades to generate.
Piyush Priya, Prachi Pandey, Rubi Jain, Manu Kandpal, Shradha Jain, Rim Chaudhury, Venkategowda Ramegowda, Muthappa Senthil‐Kumar   +7 more
wiley   +1 more source

Identifying systemic lupus erythematosus from serum proteomic profiles using machine learning and genetic risk stratification

Arthritis &Rheumatology, Accepted Article.
Objectives Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Lupus patients and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu, Jishnu Das, Amr H Sawalha   +2 more
wiley   +1 more source

Association Between Healthy Lifestyle Behaviors and Mental Health Symptoms in Children With Autism and ADHD: A Latent Profile Analysis

Autism Research, EarlyView.
ABSTRACT Healthy lifestyle behaviors, including physical activity, screen time, sleep, and diet quality, are important determinants of mental health, yet little is known about how these behaviors cluster among children with neurodevelopmental disorders.
Matthew Bourke, Jacqueline L. Walker, George Thomas, Kathryn Fortnum, Martin O'Flaherty   +4 more
wiley   +1 more source

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz, Anna‐Lena Drommershausen, Alexander Grünberger, Dirk Holtmann   +3 more
wiley   +1 more source

The power of many: when genetics met yeasts and high‐throughput

Biological Reviews, EarlyView.
ABSTRACT In recent years, complex technological capabilities have evolved, driven by the need to solve complex and integrative biological questions through global analyses. New equipment allows the scaling up and automation of processes which previously were carried out on a very limited scale.
Víctor A. Tallada, Víctor Carranco
wiley   +1 more source

Digital Technologies Disclosure and the Cost of Capital: The Mediating Role of Sustainability Performance

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed, Awad Elsayed Awad Ibrahim, Khaldoon Albitar   +2 more
wiley   +1 more source

Towards a Developmental Retribution and Reciprocity Model (RRM): Implications for Youth Justice

Behavioral Sciences &the Law, EarlyView.
ABSTRACT Youth justice systems are frequently justified by reference to developmental change, yet chronological age is often treated as a proxy for underlying psychological processes. This paper develops a Developmental Retribution and Reciprocity Model (RRM), integrating evolutionary criminology with contemporary developmental neuroscience to clarify ...
Evelyn Svingen
wiley   +1 more source