Results 71 to 80 of about 735 (173)

High atmospheric pressure rescues plant growth under humidity stress: A model for climate‐resilient deep underground agriculture

Deep Underground Science and Engineering, EarlyView.
High atmospheric pressure (120 kPa) in deep underground counteracts humidity‐induced physiological stress in plants, stabilizing water balance and enhancing antioxidative defenses. This synergy boosts biomass despite elevated humidity, demonstrating sustainable deep underground agriculture potential under climate uncertainty.
Yuxin He, Linglu Xu, Xiao Tan, Wenhua Zhuang, Naiwen Li, Chao Liu, Bo Tan   +6 more
wiley   +1 more source

Glymphatic dysfunction couples with cortical excitation–inhibition imbalance in epilepsy: Evidence from Rasmussen encephalitis

Epilepsia, EarlyView.
Cong Fu et al. demonstrate that glymphatic system dysfunction is linked to enhanced inhibitory cortical activity using diffusion MRI and EEG. These findings highlight a mechanistic link between perivascular fluid dynamics and neuronal activity, suggesting a role for glymphatic function in maintaining cortical stability in epilepsy.
Cong Fu, Yujiao Yang, Pan Gong, Kun Lv, Yilin Liu, Chongyang Tang, Xiongfei Wang, Lixin Cai, Qingzhu Liu, Yuwu Jiang, Taoyun Ji, Guoming Luan   +11 more
wiley   +1 more source

Quantum computation of the electronic structure of some prototype solids. [PDF]

Sci Rep
Khandelwal N, Verma N, Jamdagni P, Kumar A.   +3 more
europepmc   +1 more source

An Efficient Quasi‐Static Condensation‐Based Framework for Seismic Analysis of Multi‐Supported Secondary Structures

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multi‐supported non‐structural components (NSCs) are prone to seismic damage, yet their response prediction remains challenging when support motions are spatially incoherent. This study proposes an enhanced quasi‐static condensation (EQSC) method for linear, lightweight, dynamically detuned multi‐supported NSCs under the neglect of primary ...
Duozhi Wang, Fengze Li, Xudong Zhi, Nawawi Chouw, Rong Zhang, Feng Fan   +5 more
wiley   +1 more source

Impact of measurement noise on escaping saddles in variational quantum algorithms. [PDF]

Sci Rep
Kaminishi E, Mori T, Sugawara M, Yamamoto N.   +3 more
europepmc   +1 more source

Development of the Human–Equine Attachment Scale

Equine Veterinary Journal, EarlyView.
Abstract Background Human–horse relationships encompass diverse roles, from companion to competition partner. The impact of such bonds informs owner decision‐making regarding horse management and veterinary care, yet standardised instruments to measure these unique bonds are limited.
Richard H. Corrigan, Marc Pierard, Emma Davies, David Marlin, Stephanie Evans, Jane M. Williams   +5 more
wiley   +1 more source

QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation. [PDF]

npj Quantum Inf
Ivashkov P, Huang PW, Koor K, Pira L, Rebentrost P.   +4 more
europepmc   +1 more source

Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning

Food Bioengineering, EarlyView.
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang, Shuangcheng Huang, Qingbo Lu, Xinyi Guo   +3 more
wiley   +1 more source

A theoretical and computational study of the fractional Brusselator system with neural network validation. [PDF]

Sci Rep
Ahmad S, Ahmad I, Alluhaidan AS, ElAffendi MA, Hleili M, Alatawi MS.   +5 more
europepmc   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, EarlyView.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source