Results 151 to 160 of about 4,242,074 (300)

Refractory Status Epilepticus Treated With Bilateral Pulvinar Deep Brain Stimulation—A Case Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT New‐onset refractory status epilepticus (NORSE) arises without an identifiable cause or prior epilepsy history, with a 16%–27% mortality rate and significant long‐term neurological sequelae. Neuromodulation such as deep brain stimulation (DBS) targeting the anterior and centromedian thalamic nuclei has shown promise when the traditional ...
Mengxuan Tang, Amerta Bai, Felipe Rodridgues Marques Ferreira, Sandipan Pati, Thaddeus Walczak, Benjamin Miller, Oladi Bentho, Thomas Henry, Ilo Leppik, Minoo Shams, Zhiyi Sha, Zachary Sanger, Theoden I. Netoff, Thomas Lisko, Anant Naik, Robert McGovern III, Sima Patel   +16 more
wiley   +1 more source

Potential Energy Surface Topology　III. A Method of Graphical Analysis to Deduce Potential Energy Surface

Potential Energy Surface Topology　III. A Method of Graphical Analysis to Deduce Potential Energy Surface
120005891760
openaire  

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source

Search for active and inactive ion insertion sites in organic crystalline materials. [PDF]

Chem Sci
Gopidi HR, Lakraychi AE, Panchal AA, Chen Y, Kolluru VSC, Wang J, Chen Y, Liu J, Wiaderek K, Chan MKY, Yao Y, Canepa P.   +11 more
europepmc   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Convex Hartree-Fock theory for modeling ground state conical intersections. [PDF]

Commun Chem
Rossi F, Koch H.
europepmc   +1 more source

Effects of Biological Sex and Age on Cerebrospinal Fluid Markers—A Retrospective Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebrospinal fluid (CSF) analysis is a key diagnostic tool for neurological diseases. To date, only a few studies have investigated in larger cohorts the effect of age and biological sex on diagnostic markers extracted from CSF. Methods For this retrospective observational study, 4163 CSF findings (2012–2020) were evaluated.
Isabel‐Sophie Hafer, Simon Faissner, Ralf Gold, Aiden Haghikia   +3 more
wiley   +1 more source

IMPROVEMENT ALGORITHM OF TIME-VARYING MESHING STIFFNESS OF HELICAL GEAR AND ANALYSIS OF INFLUENCING FACTORS

Jixie qiangdu
An improved calculation method for the time-varying mesh stiffness of helical gear was proposed based on the potential energy method and the slice integration principle, taking into account the transition curve equation of tooth root.
WU LuJi, YANG ShiHao, FENG Wei, YANG LinJie   +3 more
doaj  

From crystal structure prediction to polymorphic behaviour: Monte Carlo threshold mapping of crystal energy landscapes. [PDF]

Chem Sci
Juan-Royo P, Day GM.
europepmc   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

Arthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah, Alexis Castellanos, Yen Chen, John Piette, Amy Bucher, Susan Murphy   +5 more
wiley   +1 more source