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]

open access: yesEPJ Web of Conferences, 2019
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 for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
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

open access: yesNature Communications, 2023
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

open access: yesAGING MEDICINE, EarlyView.
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

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Biochemical and Immunohistochemical Associations of TDP‐43 and Cryptic RNA With Hippocampal and Amygdala Volumetrics in Alzheimer's Disease

open access: yesAnnals of Neurology, EarlyView.
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

open access: yesScientific Journal of Informatics, 2014
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

open access: yesAnnals of Neurology, EarlyView.
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

Nonviral Gold Nanoparticle‐Mediated Delivery of CRISPR‐Cas9 Ribonucleoprotein and Long DNA Transgenes Into Primary Blood Cells

open access: yesAdvanced NanoBiomed Research, EarlyView.
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

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