Results 31 to 40 of about 79,311,749 (300)

Reflections on Teaching and Learning Spring 2007

open access: yes, 2007
Spring 2007 issue of Reflections on Teaching and Learning, a publication of the University of Scranton's Center for Teaching and Learning Excellence (CTLE)
University of Scranton. Center for Teaching and Learning Excellence
core   +1 more source

Spatial biology in cancer epigenetics

open access: yesMolecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

Innovative Methodologies in University Teaching: Pilot Experience of an Escape Room in Nursing Students

open access: yesEducation Sciences
The presence of playful elements in learning environments is increasingly frequent in university settings. The objective of this study was to evaluate the gaming experience of the participants of an escape room activity developed in the second year of ...
Javier Fagundo-Rivera   +3 more
doaj   +1 more source

From needs’ analysis to Community of Practice about Teaching and Learning in HE: the University of Genoa’s experience

open access: yesFormare, 2018
Some teachers from eight Italian universities have become members of the Italian Association for the Development of Teaching and Learning in Higher Education (ASDU).
Antonella Lotti
doaj   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

open access: yesFEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz   +6 more
wiley   +1 more source

Reflections on Teaching and Learning Fall 2010

open access: yes, 2010
Fall 2010 issue of Reflections on Teaching and Learning, a publication of the University of Scranton's Center for Teaching and Learning Excellence (CTLE)
University of Scranton. Center for Teaching and Learning Excellence
core   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

Reflections on Teaching and Learning Spring 2006

open access: yes, 2006
Spring 2006 issue of Reflections on Teaching and Learning, a publication of the University of Scranton's Center for Teaching and Learning Excellence (CTLE)
University of Scranton. Center for Teaching and Learning Excellence
core   +1 more source

Transformations in academic work and faculty perceptions of artificial intelligence in higher education

open access: yesFrontiers in Education
Technologies based on artificial intelligence are transforming teaching practices in higher education. However, many university faculty members still face difficulties in incorporating these tools in a critical, ethical, and pedagogically meaningful way.
Jorge Buele, Leonel Llerena-Aguirre
doaj   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

open access: yesFEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong   +3 more
wiley   +1 more source

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