Results 141 to 150 of about 405,317 (235)

Co-Creation of an Injury Prevention Implementation Strategy for a Girls' Football Team in a Community-Based Club. [PDF]

Scand J Med Sci Sports
Odgaard CVO, Sørensen K, Mølgaard CM.
europepmc   +1 more source

Discovery of Energy‐Localized Trap States via Opto‐Electrical Spectroscopy in UWBG Perovskite La:SrSnO3 FETs

Advanced Functional Materials, EarlyView.
Combined UV–vis transmittance and wavelength‐dependent photo‐assisted DC I–V analyses reveal defect‐induced optical instability and a high density of deep donor‐like subgap traps in La‐doped SrSnO3. The resulting MOSFET achieves one of the highest on/off ratios reported for ABO3 perovskite devices, demonstrating the promise of stannate perovskites as ...
Sojin Jung, Junghyun Koo, Hongseung Lee, Donghwan Kim, Dongho Won, Weideng Sun, Jaewook Yoo, Minah Park, Seohyeon Park, Seongbin Lim, Joonsung Lee, Sungjune Park, Sangmoon Yoon, Tae Wan Kim, Bharat Jalan, Gang Qiu, Kiyoung Lee, Hagyoul Bae   +17 more
wiley   +1 more source

Characteristics, treatment patterns, healthcare resource use, and costs among adult patients diagnosed with neurofibromatosis type 1 and plexiform neurofibromas in the United States. [PDF]

BMC Neurol
Yang X, Obeng-Kusi M, Dettling T, Adeyemi A, Cunnington M, Liu Q, Lejeune D, Chen G, Duh MS, Jordan JT.   +9 more
europepmc   +1 more source

A 3D Human Neuron‐on‐Chip Platform to Monitor Neuronal Injury Responses

Advanced Healthcare Materials, EarlyView.
This study presents a novel 3D Neuron‐on‐Chip model that can maintain human PSC‐derived excitatory prefrontal cortex neurons in 3D hydrogels and can be used to monitor neuronal injury responses over time. Results show injury‐induced acute neuronal excitotoxicity, declining neuronal connectivity, and the activation of a neurodegenerative, SASP‐like ...
Ruiping Tang, Charles‐Francois Latchoumane, Avi Chopra, Md Marzan Sarkar, Chunki Kim, Nathan Gonsalves, Hsueh‐Fu Wu, John C. Sentmanat, Alan Liu, Isha Mhatre‐Winters, Aditya Mishra, Andrei G. Fedorov, Jay M. Patel, Nadja Zeltner, Steven L. Stice, Jason R. Richardson, Lohitash Karumbaiah   +16 more
wiley   +1 more source

Interprofessional Competence of Health and Social Care Professionals Working in Specialized Palliative Care: A Cross-Sectional Study. [PDF]

Scand J Caring Sci
Kesonen P, Salminen L, Soikkeli-Jalonen A, Saarinen-Nassar J, Haavisto E.   +4 more
europepmc   +1 more source

IPS Spotlight [PDF]

Journal of Infection Prevention, 2017
openaire   +2 more sources

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Dynamic needle tip positioning may improve first-attempt success rate in short-axis radial artery cannulation: A systematic review and meta-analysis of randomized trials. [PDF]

J Int Med Res
Mao K, Cai M, Liang J, Yang G, Ye Y, Lin J, Tang M, Chen L, Huang J, Chen W.   +9 more
europepmc   +1 more source

Inhibition of VEGF‐Induced Angiogenesis and Vascular Leakage by Bicistronic Co‐Expression of Aflibercept and COMP‐Ang1

Advanced Healthcare Materials, EarlyView.
A bicistronic rAAV8 vector encoding Aflibercept (Afb) and COMP‐cAng1 simultaneously coordinates VEGF clearance and Tie2‐mediated vessel maturation. In a 3D angiogenesis‐on‐a‐chip model, rAAV8‐Afb/cAng1 effectively reverses pathological barrier breakdown under clinical disease‐mimicking challenges.
Bong‐Kyu Kim, Jaehong Min, Sang‐Hee Park, Subeen Shin, Sangbin Yu, Jeong‐Eun Park, Sujin Kim, Wooju Park, Jihoon Ko, Sunjong Kwon   +9 more
wiley   +1 more source

Predicting the Timing of the Metabolic Inflection Point in Type 1 Diabetes Progression Using Machine Learning and Survival Analysis Models. [PDF]

Diabetes
Montaser E, Sosenko JM, Ismail HM.
europepmc   +1 more source