Results 151 to 160 of about 156,620 (328)

CT-SYNTAX Score

JACC: Cardiovascular Imaging, 2013
Papadopoulou, Stella-Lida, Girasis, Chrysafios, Dharampal, Anoeshka, Farooq, Vasim, Onuma, Yoshinobu, Rossi, Alexia, Morel, Marie-angèle, Krestin, Gabriel P., Serruys, Patrick W., de Feyter, Pim J., Garcia Garcia, Hector M.   +10 more
openaire   +1 more source

CAR and SYNTAX Scores in Patients With STEMI [PDF]

Angiology, 2021
Çağri Yayla, Kadriye Gayretli Yayla, Mehmet Akif Erdöl, Mustafa Karanfil, Koray Demirtaş, Sefa Ünal, Ahmet Göktuğ Ertem, Adnan Burak Akçay   +7 more
openaire   +2 more sources

Sharing Good News at Work to Collaborate and to Self‐Enhance: A Motivational and Reputational Perspective on Workplace Interpersonal Capitalization

Journal of Organizational Behavior, EarlyView.
ABSTRACT Employees routinely experience work‐related positive events. In the wake of these events, employees sometimes share the good news with coworkers—a phenomenon known as workplace interpersonal capitalization. Research shows that such capitalization matters for how employees feel and act.
Trevor Watkins, Ji Koung Kim, Anthony C. Klotz, Satish Krishnan   +3 more
wiley   +1 more source

Syntax Score I and II for Predicting Carotid Artery Stenosis in Patients with Multivessel Coronary Artery Disease: A Propensity Score Matching Analysis

, 2019
Semi Öztürk, Mazlum Şahın
openalex   +1 more source

Endoscopic gluteal tendon repair reduces complication rates while achieving outcomes comparable to open repair: A multilevel meta‐analysis

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The purpose of this systematic review and multilevel meta‐analysis was to compare short‐term functional outcomes, pain relief, and complication rates between open and endoscopic gluteal tendon repair, expressed as functional improvement normalized to minimal clinically important difference (MCID) units.
Nikolai Ramadanov, Maximilian Voss, Ariana Lott, Robert Hable, Robert Prill, Roland Becker, Marko Ostojic, Plamen Penchev, Ingo J. Banke   +8 more
wiley   +1 more source

Benchmarking Large Language Models for Polymer Property Predictions

Macromolecular Rapid Communications, EarlyView.
Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta, Akhlak Mahmood, Shivank Shukla, Rampi Ramprasad   +3 more
wiley   +1 more source

Movement Disorders Associated with 22q11.2 Microdeletion: A Scoping Review

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Movement disorders have recently emerged as important neurologic manifestations of the 22q11.2 microdeletion that affects nearly one in every 2000 live births. Objective We aimed to map the existing evidence regarding the spectrum, diagnosis and treatment, and etiopathogenesis of movement disorders associated with 22q11.2 ...
Nikolai Gil D. Reyes, Daniel G. Di Luca, Connie Marras, Erik Boot, Ryan K.C. Yuen, Anthony E. Lang, Anne S. Bassett   +6 more
wiley   +1 more source

Role of the functional SYNTAX score in evaluating multivessel coronary artery disease

, 2011
Chang‐Wook Nam, William F. Fearon
openalex   +2 more sources

Logistic Clinical SYNTAX score [PDF]

Nature Reviews Cardiology, 2012
openaire   +1 more source

TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System

Materials Genome Engineering Advances, EarlyView.
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang, Xin Li, Huangchao Xu, Zhong Jin, Quansheng Wu, Ce Li   +5 more
wiley   +1 more source