Results 61 to 70 of about 100,232 (268)

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

FEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page, Rachel J. Hunt, Lauren J. Albee, Daniel Berwick, Alison Snape   +4 more
wiley   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Ofatumumab in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: A Comparison With Rituximab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan, Lei Zhou, Jingzi ZhangBao, Hongmei Tan, Zhouzhou Wang, Chao Quan   +5 more
wiley   +1 more source

AI-Based Predicting Post-Graduation Earnings and Student Loan Debt Burden in Educational Institutions [PDF]

ITM Web of Conferences
Student and institution-level and policy-level assessments of higher education financial outcomes are important. This study introduces students to a machine-learning approach to predicting after-college earnings and student loan debts based on the ...
R Thanuja, Saigal Akriti, Relan Aditya, Bhatnagar Khushi, Chelani Khushi, S Dilipkumar   +5 more
doaj   +1 more source

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane, Valentina Giunchiglia, Michael C. B. David, Magdalena A. Kolanko, William R. Trender, Peter J. Hellyer, Harmeena Kaur, David J. Sharp, Christopher Carswell, Paresh A. Malhotra, Adam Hampshire   +10 more
wiley   +1 more source

Unveiling the Future: Forecasting the US Debt Ceiling and Financial Market Trends [PDF]

SHS Web of Conferences
The US debt limit has important implications for economic and financial stability. By analyzing historical data, this article finds that there is a significant correlation between the debt limit and the US financial market. The article also constructs an
Chen Linghao, Song Yuxuan, Wang Jiayi
doaj   +1 more source

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

The Investigation of a Forward-Rate Mortality Framework

Risks, 2019
Stochastic mortality models have been developed for a range of applications from demographic projections to financial management. Financial risk based models built on methods used for interest rates and apply these to mortality rates.
Daniel H. Alai, Katja Ignatieva, Michael Sherris   +2 more
doaj   +1 more source

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

A Multicriteria Evaluation of Railway Route Alternatives in Türkiye: An ANP-Based Multidimensional Sustainability Approach

Applied Computational Intelligence and Soft Computing
Despite Türkiye’s 2053 net-zero emissions target and national transportation master plan goals to reduce regional inequalities, the simultaneous integration of environmental, financial, operational, and socioeconomic criteria within a single decision ...
Deniz Ceren Duygun, Egemen Can, Mert Bıçakcıoğlu, İlke Ölçücü, Yankı Yiğit Uçar, Kerem Şurğun, Ahmet Yücekaya, Özgür Orhangazi, Gökhan Kirkil, Volkan Ediger   +9 more
doaj   +1 more source