Results 81 to 90 of about 849,936 (315)
A deep learning runoff prediction model based on wavelet decomposition and dynamic feature fusion
To address the stochasticity, time-varying characteristics, and nonlinear dynamics of runoff series, this research proposes a novel deep learning architecture, BWDformer, based on wavelet decomposition and dynamic feature fusion, to enhance the precision
Dong-mei Xu +5 more
doaj +1 more source
Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li +10 more
wiley +1 more source
Pioche power line- Boulder Canyon; 1935
Series 1173 | State Planning Board | Power resources records | Pioche power line- Boulder Canyon; 1935One of the duties of the State Planning Board was to plan for the conservation and development of the natural resources of the state.
State Planning Board
core
Study on the scale effect and mechanical properties of gravel materials in riverbed cover layers
To address the challenges of performing in-situ tests on riverbed overburden gravel, this study employs three scaling methods—equal mass substitution, similar gradation, and the mixed method—to investigate the original gradation of the gravel.
Mengdie Zhao +5 more
doaj +1 more source
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang +8 more
wiley +1 more source
Power plants in Utah, McGraw Central Station Directory; 1931-1939
Series 1173 | State Planning Board | Power resources records | Power plants in Utah, McGraw Central Station Directory; 1931-1939One of the duties of the State Planning Board was to plan for the conservation and development of the natural resources of the
State Planning Board
core
Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
wiley +1 more source
Power Data- collection of reports; Power generation in Utah
Series 1173 | State Planning Board | Power resources records | Power Data- collection of reports; Power generation in UtahOne of the duties of the State Planning Board was to plan for the conservation and development of the natural resources of the state.
State Planning Board
core
Applications of artificial intelligence in the AEC industry: a review and future outlook
In the context of “Industry 4.0,” the construction industry is undergoing a continuous process of digital transformation. In recent years, with the rapid development of artificial intelligence (AI) technology, AI has been successfully applied across ...
Huimin Li +4 more
doaj +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source

