Results 191 to 200 of about 375,096 (311)

Identification of Distinct Research Gaps that Complement Previous Critiques of Militaristic Language in Relation to Cancer and Other Non-Military Topics. [PDF]

Cancer Control
Almendingen K.
europepmc   +1 more source

The Politics of Framing the Student Problem: Inquiries Into Australian Civics Education, 2006–2024

Australian Journal of Social Issues, EarlyView.
ABSTRACT Recurring debates about civics, the kinds of history that should, and should not, be taught in school, and ‘standards debates’ about the ‘basics’ typically follow on the heels of recurring moral panics about the ‘declining’ state of ‘our’ education system.
Patrick O'Keeffe, Judith Bessant, Madeline Drake   +2 more
wiley   +1 more source

Establishment of a biosafe murine model of skeletal tuberculosis using Mycobacterium smegmatis

Animal Models and Experimental Medicine, EarlyView.
This study developed a biosafe, accessible, and versatile murine model of bone TB using Mycobacterium smegmatis, a fast‐growing, nonpathogenic mycobacterial species with high genomic homology to Mycobacterium tuberculosis. Three infection routes—subperiosteal calvarial injection, intratibial injection, and intracardiac (left ventricular) inoculation ...
Yewei Jia, Yuhuai Guo, Yusheng Yang, Jie Zhang, Ziyang Zhang, Ying Qu, Jiulin Tan, Jie Shen, Nathachit Limjunyawong, Jianzhong Xu, Zehua Zhang, Fei Luo, Ce Dou   +12 more
wiley   +1 more source

"That was really a productive segment, wasn't it?" Nonverbal markers of humor in the American presidential debates of 2016 and 2020. [PDF]

Front Psychol
Tabacaru S.
europepmc   +1 more source

Recent advances in animal models for pathological scar research: A comprehensive review of experimental approaches and translational relevance

Animal Models and Experimental Medicine, EarlyView.
Animal models remain indispensable in the study of pathological scars, each offering unique advantages and constraints. Their integration with in vitro and ex vivo systems is key to developing personalized, clinically translatable antifibrotic therapies. Abstract Pathological scarring, manifested in the form of hypertrophic scars (HTS) and keloid scars
Diana‐Larisa Ancuța, Mariana Văduva, Cristin Coman, Iuliana Caraș   +3 more
wiley   +1 more source

Reframing learning interactions: transforming professional identity among students of traditional Korean medicine. [PDF]

BMC Med Educ
Park GM, Hong AJ.
europepmc   +1 more source

Aneurysm Wall Enhancement and Probability of Instability in Unruptured Intracranial Aneurysms: A Long‐Term Follow‐Up Study

Annals of Neurology, EarlyView.
Objective Aneurysm wall enhancement (AWE) may predict aneurysm growth and rupture in the short‐term, but there is a lack of long‐term follow‐up studies. We aimed to determine whether unruptured intracranial aneurysms (UIAs) with AWE have a higher probability of aneurysm instability during long‐term follow‐up compared with those without AWE. Methods For
Laura T. van der Kamp, Maarten J. Kamphuis, Olivier Naggara, Thomas Le Tat, Gabriel J. E. Rinkel, Gérard A. P. de Kort, Ruben P. A. van Eijk, Jeroen Hendrikse, Irene C. van der Schaaf, Mervyn D. I. Vergouwen   +9 more
wiley   +1 more source

Decoding manipulative narratives in cognitive warfare: a case study of the Russia-Ukraine conflict. [PDF]

Front Artif Intell
Paziuk A, Lande D, Shnurko-Tabakova E, Kingston P.   +3 more
europepmc   +1 more source

“Enshrined in Golden Memories” Eastern Ontario’s Commemoration of the North-West Resistance, 1885-1939 [PDF]

, 2015
Elliot Worsfold
core   +1 more source

A Novel Deep Temporal Feature Enhanced Just‐in‐Time Learning Framework for Predicting Rare Earth Component Content

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang, Liangfang Liao, Chunfa Liao, Hui Zhang, Tao Qi, Rongxiu Lu, Wenhao Dai   +6 more
wiley   +1 more source