Results 91 to 100 of about 21,951 (259)

A translational multimodal machine‐learning prototype predicting valproate response in epilepsy treatment

open access: yesEpilepsia, EarlyView.
Abstract Objective Epilepsy affects ~1% of the global population and often requires lifelong antiseizure medication (ASM) therapy. Valproic acid (VPA) is a commonly prescribed first‐line ASM, yet only approximately half of patients achieve sustained seizure freedom. Treatment selection remains largely empirical.
Simeon Platte   +15 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

open access: yesEpilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus   +7 more
wiley   +1 more source

Psychological distress and academic success: a two-year study comparing the outcome of two online interventions at a university counseling and consultation service in Italy

open access: yesFrontiers in Psychiatry
BackgroundThe mental health of college students has been a significant concern in higher education, representing a priority for the institutions. Enhancing effective online interventions could represent excellent support for university counseling ...
Silvia Mammarella   +6 more
doaj   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen   +1 more
wiley   +1 more source

Deserción escolar en universitarios del centro universitario UAEM Temascaltepec, México: estudio de caso de la licenciatura de Psicología

open access: yesRevista Iberoamericana de Evaluación Educativa, 2016
La deserción escolar es una problemática que hoy en día afecta a nivel de vida tanto en los jóvenes que dejan de asistir a la escuela como en las instituciones que lo experimentan siendo de las mayores preocupaciones de las instituciones educativas ...
Lorena López Villafaña   +2 more
doaj  

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

open access: yesEnergy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif   +5 more
wiley   +1 more source

Sufficient Gas and Solvated Ion Transport Assisted Rapid NH3 Detection at Room Temperature Through Bionic Olfactory Fibres

open access: yesExploration, EarlyView.
Bionic olfactory fibres with nanoconfined ionic liquids were developed to mimic human olfactory cilia. Benefiting from sufficient gas transport pathways provided by inter‐fibre interconnected pores and rapid transport of solvated ions in the confined nano spacing, bionic olfactory fibres show excellent sensing performance to NH3 and demonstrate the ...
Hongyang Liu   +11 more
wiley   +1 more source

The Myth of the Texas Miracle in Education

open access: yesEducation Policy Analysis Archives, 2000
I summarize the recent history of education reform and statewide testing in Texas, which led to introduction of the Texas Assessment of Academic Skills (TAAS) in 1990-91.
Walt Haney
doaj  

Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries

open access: yesInfoScience, EarlyView.
Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang   +6 more
wiley   +1 more source

GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Diseases of the Gastrointestinal (GI) tract significantly affect the quality of human life and have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare systems. However, processing large amounts of medical image data can be challenging for radiologists and other medical professionals, increasing the risk ...
Muhammad Nouman Noor   +5 more
wiley   +1 more source

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