Results 121 to 130 of about 910,963 (262)

Analysis of brain structural covariance network in Cushing disease

Heliyon
Background: Cushing disease (CD) is a rare clinical neuroendocrine disease. CD is characterized by abnormal hypercortisolism induced by a pituitary adenoma with the secretion of adrenocorticotropic hormone.
Can-Xin Xu, Linghan Kong, Hong Jiang, Yue Jiang, Yu-Hao Sun, Liu-Guan Bian, Yuan Feng, Qing-Fang Sun   +7 more
doaj   +1 more source

A Statistical Mechanics Model to Decode Tissue Crosstalk During Graft Formation

Advanced Science, EarlyView.
We introduce a statistical mechanics framework to decode the genomic crosstalk governing plant grafting. By integrating evolutionary game theory with transcriptomics, we reconstruct idopNetworks (informative, dynamic, omnidirectional, and personalized networks) that map scion–rootstock interactions.
Ang Dong, Yihan Meng, Stephen Shing‐Toung Yau, Shing‐Tung Yau, Rongling Wu   +4 more
wiley   +1 more source

GAN-MAT: Generative adversarial network-based microstructural profile covariance analysis toolbox

NeuroImage
Multimodal magnetic resonance imaging (MRI) provides complementary information for investigating brain structure and function; for example, an in vivo microstructure-sensitive proxy can be estimated using the ratio between T1- and T2-weighted structural ...
Yeongjun Park, Mi Ji Lee, Seulki Yoo, Chae Yeon Kim, Jong Young Namgung, Yunseo Park, Hyunjin Park, Eun-Chong Lee, Yeo Dong Yoon, Casey Paquola, Boris C. Bernhardt, Bo-yong Park   +11 more
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

A smart headband for multimodal physiological monitoring in human exercises

Advanced Science, EarlyView.
A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu, Guanxing Chen, Jingyi Peng, Shuo Tian, Qian Mao, Caise Wei, Jinfeng Yuan, Rong Zhu   +7 more
wiley   +1 more source

All Organic Fully Integrated Neuromorphic Crossbar Array

Advanced Electronic Materials, EarlyView.
In this work, the first fully integrated crossbar array of electrochemical random‐access memory (ECRAM) that is composed entirely of organic materials is represented. This array can perform inference and in situ parallel training and is capable of classifying linearly separable 2D and 3D classification tasks with high accuracy.
Setareh Kazemzadeh, Tim Stevens, Yoeri van de Burgt   +2 more
wiley   +1 more source

On the Significance of Covariance for Constraining Theoretical Models from Galaxy Observables

The Astrophysical Journal
In this study, we investigate the impact of covariance within uncertainties on the inference of cosmological and astrophysical parameters, specifically focusing on galaxy stellar mass functions derived from the CAMELS simulation suite.
Yongseok Jo, Shy Genel, Joel Leja, Benjamin Wandelt   +3 more
doaj   +1 more source

MFP and CFAP Official Announcement and Pre‐Official Announcement Effects on the Corn and Soybean Futures Market

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the official announcement effect of the Market Facilitation Program (MFP) and the Coronavirus Food Assistance Program (CFAP) on the corn and soybean futures market. Using a permutation test and a 2‐stage GLS model, we find no significant official announcement effect.
Zhining Sun, Ani L. Katchova, Anil K. Giri, Dipak Subedi   +3 more
wiley   +1 more source

Probabilistic Modeling for Prediction Errors to Enhance Balancing Market Participation of Photovoltaic Systems: Error Threshold Estimation, Multisite Aggregation, and Overloading Effects

Advanced Energy and Sustainability Research, EarlyView.
This study proposes a method to increase the value of solar power in balancing markets by managing prediction errors. The approach models prediction uncertainties and quantifies reserve requirements based on a probabilistic model. This enables the more reliable participation of photovoltaic plants in balancing markets across multiple sites, especially ...
Jindan Cui, Xue Fang, Takashi Oozeki, Yuzuru Ueda   +3 more
wiley   +1 more source

Do outgrower schemes enhance technology adoption and productivity? Evidence from maize farmers in Northern Ghana

Agribusiness, EarlyView.
Abstract Nucleus outgrower schemes are contractual arrangements where well‐resourced large‐scale farmers (nucleus farmers) are empowered by development support agencies to take charge of smallholder farmers, by providing them with market access and the necessary training on agronomic practices and farm inputs for production.
Dominic Tasila Konja, Awudu Abdulai
wiley   +1 more source