Results 101 to 110 of about 17,544 (260)

Fracture Network Characterization and Thermal Performance Prediction in Enhanced Geothermal Reservoirs Using Covariance Matrix Adaptation and Embedded Discrete Fracture Model

Water Resources Research
Fracture networks constitute essential conduits for fluid and heat transport in enhanced geothermal systems (EGSs), yet their characterization is challenging due to the inherent geological complexities.
Kun Zhang, Hui Wu
doaj   +1 more source

Energy‐Aware Perturbation Optimization for Memristor‐Array Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristor‐array inference becomes more energy efficient when layer inputs are reshaped before computation. Sinusoidal perturbation encoding with dual‐threshold screening reduces active voltage pulses and contracts ADC input‐current ranges, jointly lowering crossbar and peripheral energy while preserving accuracy across hardware MNIST validation, deep ...
Ao Xu, Lun Lu, Youpeng Wu, Yao Guo, Yi Li, Yinan Wang, Qingjiang Li   +6 more
wiley   +1 more source

The role of venture‐financed startups in innovation for US agriculture

American Journal of Agricultural Economics, EarlyView.
Abstract To evaluate the role played by startup companies in the innovation ecosystem of US agriculture, we compile a unique dataset of 6024 new entrants founded 1987–2019 that details their financing lifecycles, annual economic performance, and patenting activities.
Gregory D. Graff, Charles A. W. de Grazia, Nicholas E. Rada   +2 more
wiley   +1 more source

Environmentally induced dynamics between intraindividual variation and trait means across vegetative, phenological, and floral traits

American Journal of Botany, EarlyView.
Abstract Premise Intraindividual variation in reiterated structures (e.g., leaves) represents an important dimension of phenotypic variation that contributes to functional diversity and the dynamics of ecological communities. It can be expressed differently across plant traits, but how environmental drivers affect intraindividual variation in different
Charlotte Møller, Martí March‐Salas, Mar Sobral, Judith Haase, Pieter De Frenne, J. F. Scheepens   +5 more
wiley   +1 more source

Hybrid Genetic Algorithm and CMA-ES Optimization for RNN-Based Chemical Compound Classification

Mathematics
The compound classification strategies addressed in this study encounter challenges related to either low efficiency or accuracy. Precise classification of chemical compounds from SMILES symbols holds significant importance in domains such as drug ...
Zhenkai Guo, Dianlong Hou, Qiang He
doaj   +1 more source

Host‐Specific Interactions Between Staphylococcus aureus and Pseudomonas aeruginosa Impair Epithelial Repair in Chronic Rhinosinusitis

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Chronic rhinosinusitis (CRS) is frequently associated with polymicrobial biofilms involving Staphylococcus aureus and Pseudomonas aeruginosa. Interactions between these organisms are thought to influence disease severity, but the epithelial effects of exoproteins derived from patient‐matched cocultures remain poorly defined ...
Xiaohan Sun, Mahnaz Ramezanpour, George Bouras, Emma Barry, Alkis J. Psaltis, Peter‐John Wormald, Sarah Vreugde   +6 more
wiley   +1 more source

The diagnostic value of the circadian rhythm gene KLF10 in anxiety‐depressive disorders and its neuroimmune regulatory mechanisms

Animal Models and Experimental Medicine, EarlyView.
This graphical abstract illustrates the protective role and molecular mechanism of the circadian rhythm‐related gene KLF10, identified as a diagnostic biomarker and therapeutic target in anxiety‐depressive disorder. Model establishment and phenotypes: An anxiety‐depression model was successfully established by chronic restraint stress combined with ...
Anlan Liu, Weifeng Guo, Jianxiang Li, Tiange Zhang, Dan Xu   +4 more
wiley   +1 more source

Toward a Behavioral Reserve Model in Amyotrophic Lateral Sclerosis

Annals of Neurology, EarlyView.
Objective Behavioral impairment is common in amyotrophic lateral sclerosis (ALS) and strongly affects autonomy, caregiver burden, and outcomes, yet predictors of vulnerability remain unclear. We investigated whether premorbid regulatory traits and socio‐educational exposures are associated with behavioral phenotypes in ALS within a behavioral reserve ...
Francesca Palumbo, Barbara Iazzolino, Cristina Moglia, Umberto Manera, Enrico Matteoni, Sara Cabras, Giorgio Pellegrino, Emilio Minerva, Vita Passidomo, Rosario Vasta, Gabriele Mora, Fabrizio D’Ovidio, Antonio Canosa, Andrea Calvo, Adriano Chiò   +14 more
wiley   +1 more source

Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang, Kaili Zhang, Yongxing Song, Zhaoxin Ma, Sitong Guan, Rongwang Chai, Kexiang Ceng, Jingting Liu   +7 more
wiley   +1 more source

Accelerating Sustainable Epoxy Resin Development Through Bayesian Optimization and Inverse Design

Journal of Applied Polymer Science, EarlyView.
Development of a machine learning framework for the optimization of the Tg of partially bio‐based epoxy resin formulations in a 13‐component design space using Bayesian optimization, active learning, random design, and inverse design. The results show that the BO effectively navigates high‐dimensional formulation spaces, and the final ML model could ...
Natalie Wunder, Rodrigo Q. Albuquerque, Florian Max, Holger Ruckdäschel   +3 more
wiley   +1 more source