Results 131 to 140 of about 74,936 (290)

Instability mechanism and failure characteristics of underground cavern in block system under the action of seismic waves

open access: yesDeep Underground Science and Engineering, EarlyView.
Seismic waves with tensile stress, high amplitude, and low frequency are most likely to trigger block instability and sliding. Blocks with a single sliding surface are more prone to movement than those with multiple constraints, and roof‐positioned blocks are especially vulnerable to slide.
Xiao Wang   +4 more
wiley   +1 more source

Evaluation of Emergency Medical Technicians Intermediate Prediction about Their Transported Patients Final Disposition in Emergency Department of Imam Khomeini Hospital

open access: yesActa Medica Iranica, 2013
This was a prospective cross-sectional study of consecutive transported patients by emergency medical service (EMS) to a referral hospital. The goal of this study was the evaluation of emergency medical technician intermediate prediction about their ...
Mohammad Afzalimoghadam   +4 more
doaj  

Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining

open access: yesRock Mechanics Bulletin
The vibrations generated by rock blasting are a serious and hazardous outcome of these activities, causing harmful effects on the surrounding environment as well as the nearby residents.
Yewuhalashet Fissha   +6 more
doaj   +1 more source

Machine learning‐based prediction of elevated N terminal pro brain natriuretic peptide among US general population

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 859-868, April 2025.
Abstract Aims Natriuretic peptide‐based pre‐heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre‐heart failure, has not been well established.
Yuichiro Mori   +5 more
wiley   +1 more source

Left ventricular function improvement during angiotensin receptor–neprilysin inhibitor treatment in a cohort of HFrEF/HFmrEF patients

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 1151-1165, April 2025.
Prediction of LVEF improvement in patients with HFrEF and HFmrEF following treatment with Sacubitril/Valsartan. Workflow of this study investigating the functional capacity improvement in response to Sacubitrail/Valsartsan in a real‐world scenario of heart failure treatment.
Florian Appenzeller   +8 more
wiley   +1 more source

Machine learning using clinical data at baseline predicts the medium-term efficacy of ustekinumab in patients with ulcerative colitis

open access: yesScientific Reports
Predicting the therapeutic response to biologics before administration is a key clinical challenge in ulcerative colitis (UC). We previously reported a model for predicting the efficacy of vedolizumab (VDZ) for UC using a machine-learning approach ...
Hiromu Morikubo   +7 more
doaj   +1 more source

Bilateral ictal eye closure in focal epileptic seizures: SEEG retrospective observational assessment from a tertiary epilepsy center

open access: yesEpileptic Disorders, EarlyView.
Abstract Ictal eye closure is commonly associated with functional seizures but may also occur in epileptic seizures. We retrospectively reviewed 113 consecutive stereo‐EEG (SEEG) recordings from adults with drug‐resistant focal epilepsy (2015–2024) to identify prolonged bilateral eye closure during seizures.
Paola Vassallo   +10 more
wiley   +1 more source

Hybrid Machine Learning Model for Blast-Induced Peak Particle Velocity Estimation in Surface Mining: Application of Sparrow Search Algorithm in ANN Optimization

open access: yesAlgorithms
Blast-induced ground vibrations present substantial safety and environmental hazards in surface mining operations. This study proposes and evaluates the Sparrow Search Algorithm-optimized ANN (SSA-ANN) against artificial neural network (ANN), Genetic ...
Kesalopa Gaopale   +3 more
doaj   +1 more source

Depressive symptoms as independent correlates of epilepsy‐related cognitive burden

open access: yesEpilepsia, EarlyView.
Abstract Objective This study was undertaken to assess the relationship between the severity of depression and anxiety symptoms and epilepsy‐related variables and cognitive burden in people with epilepsy (PwE), as assessed using EpiTrack. Methods We prospectively enrolled a cohort of PwE who underwent EpiTrack and evaluation by Generalized Anxiety ...
Biagio Maria Sancetta   +10 more
wiley   +1 more source

Home - About - Disclaimer - Privacy