Results 151 to 160 of about 723 (295)

A parametric electrophysiological–transcriptomic map of MscL‐G22S sonogenetic neuromodulation in the rat hippocampus: Toward precision ultrasound neuromodulation

Journal of Intelligent Medicine, EarlyView.
Using a factorial sweep of ultrasound fundamental and pulse repetition frequencies, we built a parametric electrophysiological–transcriptomic map of MscL‐G22S‐mediated hippocampal neuromodulation, providing reference data for precision, parameter‐aware ultrasound neuromodulation.
Xin Li, Bozhan Wang, Chenguang Zheng, Yutao Tian   +3 more
wiley   +1 more source

A simulation model of the vertical dynamics of an elevator system

, 2010
The drive system is a key component of an elevator installation that supplies energy into the system, coupling the car-rope and the counterweight-rope subsystems.
Kaczmarczyk, Stefan; id_orcid, Abete, Jose M, Kaczmarczyk, Stefan, Arrasate, Xabier   +3 more
core  

Development of Rule-Based Diagnostic Automation Technology for Elevator Fault Diagnosis. [PDF]

Sensors (Basel)
Seo S, Lee JJ, Park DH, Choi BK.
europepmc   +1 more source

A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 93-105, March 2025.
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou, Xuechun Wang, Fen Ma, Xulun Liu, Chunyue Jiao, Zhen Kang, Jingjing Cui, Yang Zhang, Yan Xie, Lei Chen, Ronghua Tian   +10 more
wiley   +1 more source

Calculation of minimum energy pathways in transport proteins. [PDF]

Commun Chem
Yorke BA, Ginn HM.
europepmc   +1 more source

The needle study: Machine learning as a new method for case‐finding in celiac disease

Journal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Despite a well‐defined diagnostic work‐up, uncertainties persist regarding celiac disease (CeD) detection strategies in the general population. Machine learning (ML) algorithms offer promise in aiding medical decision‐making on clinical data.
Chiara Maria Trovato, Monica Montuori, Maria Ludovica Costanzo, Giusy Russo, Cosimo Ruggiero, Danila Volpe, Francesca Ferretti, Antonella Diamanti, Carlo Ciliberto, Salvatore Oliva   +9 more
wiley   +1 more source

Reliability analysis of freight elevator systems based on FFMEC, FTA and BN. [PDF]

Sci Rep
Yu J, Zhang J, Li C, Chen Z, Huang C.
europepmc   +1 more source

Reducing the Impact of Sensor Orientation Variability in Human Activity Recognition Using a Consistent Reference System. [PDF]

Sensors (Basel), 2023
Gil-Martín M, López-Iniesta J, Fernández-Martínez F, San-Segundo R.   +3 more
europepmc   +1 more source

Exploration of a Multimodal Machine Learning Model Integrating Ultrasound and Clinical Indicators for the Diagnosis of Diabetic Peripheral Neuropathy

Journal of Ultrasound in Medicine, EarlyView.
Objectives Based on ultrasound technology and clinical indicators, this study intends to develop multiple risk prediction models for diabetic peripheral neuropathy (DPN), conduct comparative analyses of these models, and further evaluate and validate the diagnostic efficacy of the optimal model for DPN as well as its potential in clinical application ...
Bo‐yu She, Meng‐lu Song, Wen‐bin Chen, Kun‐bin Wu, Zhen‐han Lai   +4 more
wiley   +1 more source

Numerical Simulations and Bending Fatigue Experiments of Compensation Ropes Adopted in Highspeed Railway. [PDF]

Materials (Basel)
Zhao Y, Zhao Q, Li F, Zhang H, Du F, Yu X, Zhao A.   +6 more
europepmc   +1 more source