Results 51 to 60 of about 35,917 (217)
Precise determination of αS( m Z 0 $ m_{Z^0 } $ ) from a global fit of energy-energy correlations to NNLO+NNLL predictions [PDF]
We present a determination of the strong coupling constant αS( m Z 0 $ m_{Z^0 } $ ) using a global fit of theory predictions in next-to-next-next-leading-order (NNLO) combined with resummed predictions at the next-to-next-leading-log level (
Kardos A. +4 more
doaj +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Minimum entropy production by microswimmers with internal dissipation
The energy dissipation and entropy production by self-propelled microswimmers differ profoundly from passive particles pulled by external forces.
Abdallah Daddi-Moussa-Ider +2 more
doaj +1 more source
Validation of the Patient Health Questionnaire‐2 (PHQ‐2) in Detecting Depression Among Older Adults
PHQ‐2 effectively screens for geriatric depression with the optimal cut‐off of 3 points. ABSTRACT Objectives Depression screening tools like the Patient Health Questionnaire‐2 (PHQ‐2) are commonly used to detect depression. However, its performance in elderly populations has been less extensively studied compared to its broader adult use.
Francesco Salis +6 more
wiley +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Objective Immunohistochemically (IHC) measured transactive response DNA‐binding protein 43 (TDP‐43) inclusions are observed in Alzheimer's disease (AD) and are associated with medial temporal lobe atrophy. Accumulation of cryptic exons occurs in AD in response to TDP‐43 pathology.
Hossam Youssef +18 more
wiley +1 more source
Komputasi Grid Menggunakan Globus untuk Menghitung Opsi Put Amerika dengan Simulasi Monte Carlo
Internet dan teknologi komputasi grid mengubah cara kita mengatasi masalah yang kompleks. Komputasi grid terus menjanjikan untuk memberikan kemampuan yang tinggi dari berbagai sistem dan teknik komputasi. Kemampuan mendistribusikan aplikasi pada beberapa
Aji Purwinarko, Reza Pulungan
doaj +1 more source
Multimorbidity and Associations with Cognition and Alzheimer's Disease Biomarkers
Objective Multimorbidity, the coexistence of 2 or more chronic conditions, has been linked to cognitive aging and Alzheimer's disease (AD) and AD‐related dementias, yet the mechanisms remain unclear. We aimed to examine the associations of multimorbidity with cognition and biomarkers across multiple mechanistic pathways.
Xiaqing Jiang +45 more
wiley +1 more source
CRISPR/Cas9 has revolutionized the field of gene therapy, but delivery remains an outstanding issue. We propose a nonviral gold‐nanoparticle platform for co‐delivery of CRISPR/Cas9 ribonucleoprotein and long 2.1 kilobase dsDNA transgene constructs. This CRISPR‐AuNP is inexpensive to produce and mediate gene editing and DNA delivery in T cells and CD34+
Rachel A. Cunningham +8 more
wiley +1 more source

