Results 181 to 190 of about 15,402,643 (297)

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Explainable deep unsupervised learning for flood monitoring and anomaly detection using multivariate DWLR sensors. [PDF]

Sci Rep
Potharaju S, Tambe SN, Tirandasu RK, Kumar DA, Kiranmai B, Kantipudi MVVP.   +5 more
europepmc   +1 more source

High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State

American Journal of Botany, EarlyView.
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording, Erik W. Ertsgaard, David E. Giblin, Iris H. Dimpsey, Owen B. Bard   +4 more
wiley   +1 more source

Anesthetic Management and Perioperative Predictors of Outcomes in Combined Body Contouring Procedures. [PDF]

Aesthetic Plast Surg
Sahin T, Kavakli AS, Aydinli Y, Kutluturk Sahin N, Hepsev A.   +4 more
europepmc   +1 more source

Linking community structure and climate vulnerability in desert plant assemblages of southern California

American Journal of Botany, EarlyView.
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate, Luis E. Barrios, Danelle A. Baronia, G. Darrel Jenerette, Lynn C. Sweet   +4 more
wiley   +1 more source

A hybrid PCA-ICA and multi-level feature scaling framework with bidirectional LSTM-GRU architecture improves multivariate time series forecasting accuracy. [PDF]

Sci Rep
Boddu Y, Manimaran A, Talabathula J, Sucharitha M.   +3 more
europepmc   +1 more source

Genetic Variation in ADHD‐Related Risk Genes in an Indigenous Population of the Amazon

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT Attention‐Deficit/Hyperactivity Disorder (ADHD) is a highly heritable neurodevelopmental disorder; however, its genetic architecture remains poorly explored in Indigenous populations. This study aimed to analyze and characterize genetic variation in 11 genes (ADGRL3, CDH8, DCC, DUSP6, FOXP1, FOXP2, MEF2C, PCDH7, SEMA6D, SORCS3, and ST3GAL3 ...
Hirlesson Paixão de Matos, Natasha Monte, Kaio Evandro Cardoso Aguiar, Rita de Cássia Calderaro, Aline Pasquini Santos, Juliana Carla Gomes Rodrigues, André Maurício Ribeiro‐Dos‐Santos, Sandro José De Souza, Ândrea Ribeiro‐Dos‐Santos, João Farias Guerreiro, Sidney Emanuel Batista Dos Santos, Ney Pereira Carneiro Dos Santos   +11 more
wiley   +1 more source

Interpretable Graph-Temporal-Spectral Fusion for Precursor-Related Anomaly Detection in Underground Mine Sensor Networks. [PDF]

Sensors (Basel)
Mao S, Liang Y, Li Q.
europepmc   +1 more source

The Role of Glutamatergic and Dopaminergic Genes in Resistant Schizophrenia: A Systematic Review

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT Psychosis is a heterogeneous disorder, with approximately one‐third of patients experiencing treatment resistance, predominantly among individuals diagnosed with Schizophrenia. Treatment‐resistant schizophrenia (TRS) may stem from a distinct biological signature, involving abnormalities in the dopaminergic and glutamatergic systems.
Maria Teresa Moreno‐Calle, Silvia Iñiguez‐Barrio, Maria Aurora Arrue, Leire Erkoreka   +3 more
wiley   +1 more source

A prognostic model for long-term outcome in moderate-severe traumatic brain injury using multimodal neuromonitoring: a retrospective cohort analysis. [PDF]

Front Neurol
Li Y, Liu K, He X, Lin Y, Ma Y.
europepmc   +1 more source