Results 111 to 120 of about 14,363,927 (258)

The Relationship of Study and Learning approaches with Students’ Academic Achievement in Rafsanjan University of Medical Sciences [PDF]

open access: yesمجله ایرانی آموزش در علوم پزشکی, 2014
Introduction: Most experts consider learning approach as the fundamental basis of learning dividing it into two parts of deep learning approach and surface learning approach.
Effat Shahrabadi   +2 more
doaj  

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

open access: yesFEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee   +2 more
wiley   +1 more source

The Influence of the Deep Learning Approach on Students' Physics Learning Outcomes

open access: yesJurnal Studi Guru dan Pembelajaran
This study aims to analyze the effect of a Deep Learning approach combined with Problem-Based Learning (PBL) on students' physics learning outcomes regarding the topic of the First Law of Thermodynamics. The urgency of this research is based on students'
Dina Suardin   +5 more
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

open access: yesFEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass   +2 more
wiley   +1 more source

Illustration of the deep brain stimulation approach.

open access: yes, 2013
Illustration of the deep brain stimulation approach.
Ping Liang (30204)   +5 more
core   +1 more source

Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding

open access: yesFEBS Letters, EarlyView.
In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança   +2 more
wiley   +1 more source

Data envelopment analysis of clinics with sparse data: fuzzy clustering approach [PDF]

open access: yes, 2012
This paper presents a method for utilizing Data Envelopment Analysis (DEA) with sparse input and output data using fuzzy clustering concepts. DEA, a methodology to assess relative technical efficiency of production units is susceptible to missing data ...
Ben-Arieh, David, Gullipalli, Deep Kumar
core  

TG-DGM: Clustering Brain Activity using a Temporal Graph Deep Generative Mode

open access: yes, 2021
Spatiotemporal graphs are a natural representation of dynamic brain activity derived from functional magnetic imaging (fMRI) data. Previous works, however, tend to ignore time dynamics of the brain and focus on static graphs.
Simeon Emilov Spasov   +5 more
core  

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

open access: yesFEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

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