Results 61 to 70 of about 109,634 (260)

A Brain‐Wide Atlas of Astrocytic Oxytocin Receptors Reveals a Glial Basis for Nucleus Accumbens Modulation of Affiliative Behavior

Advanced Science, EarlyView.
The cellular actors of oxytocin signaling are under intense scrutiny. A brain‐wide anatomical and functional analysis in mice and rats reveals widespread expression of oxytocin receptors in astrocytes. These receptors are functionally active and, in the nucleus accumbens, selectively regulate male social affiliation.
Clémence Denis, Stefan Stojilkovic, Kai‐Yi Wang, Cristina Márquez, Annabel C. Kleinwächter, Angel Baudon, Yuval Podpecan, Aurélia Ces, Mélanie Kremer, Isabelle Arnoux, Nathalie Rouach, Jemima Helen, Sophie Trender, Andreas Wallkum, Selina Wunsch, Franziska Schommer, Moritz C. Wimmer, Tim Schubert, Felix Franke, Jabir Aliyu Muhammad, Eva M. Eisemann, Ingrid Camila Possa‐Paranhos, Cassandra Baumann, Pierre‐Alexis Derrien, Quirin Krabichler, Cosmo Garcia, Henning Fröhlich, Matthew K. Kirchner, Valery Grinevich, Pascal Darbon, Javier E. Stern, Ferdinand Althammer, Alexandre Charlet   +32 more
wiley   +1 more source

Concept Analysis of Knowledge Sharing in Multidisciplinary Surgical Teams: Implications for Interprofessional Education and Professional Development [PDF]

Journal of Advances in Medical Education and Professionalism
Introduction: Understanding and clarifying key concepts such as “knowledge sharing” is essential for advancing interprofessional collaboration and education in healthcare.
ZAHRA NOURI KHANEGHAH, ZOHREH SOHRABI, HOMEIRA KHODDAM   +2 more
doaj   +1 more source

Photonic Time Crystals and Time‐Varying Electromagnetic Metamatter: A New Direction for Ultrafast Tunable Photonic and Microwave Materials and Devices

Advanced Science, EarlyView.
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel, Shriram Ramanathan, Ronald P. Jenkins, Michael J. Carter   +3 more
wiley   +1 more source

The Interdisciplinary Approach in Community Interpreting Research

, 2011
New Voices in Translation Studies, 7, 1, 47 ...
openaire   +3 more sources

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Qualitative and Quantitative Methods: Positions and Position Changes in Psychology. A Comment on Texts by Jochen Fahrenberg and Jürgen Rost

Forum: Qualitative Social Research, 2003
This introduction moderates two contributions to the debate on standards of social research, each written by a representative of psychology. The two authors come from different methodological backgrounds: One represents a quantitative methodology—the ...
Franz Breuer
doaj  

Call for founding members of the European Organization For University Physical and Rehabilitation Medicine (UniPRM)

Journal of Rehabilitation Medicine
Rehabilitation is increasingly recognized as a key component of health systems worldwide. To meet the growing demand for rehabilitation services, it is essential to strengthen academic capacity in Physical and Rehabilitation Medicine within universities.
Stefano Negrini, Xavier de Boissezon , Gerold Stucki, Jari Arokoski , Katja Groleger Sršen, Sofie Rummens, Henk Stam , Alessandro Picelli, Francesca Gimigliano   +8 more
doaj   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

CROSS CURRICULAR LINKS IN TEACHING COMPUTER SCIENCE AND SYNERGIES PEDAGOGICAL IMPACT

Ìнформаційні технології в освіті, 2013
The problem of teaching computer science in secondary schools is considered. The need to find and develop new ways and means of filling the learning material related branches of knowledge, the use of elements of a synergistic approach to the planning of ...
I. Regeylo
doaj  

CritCom: assessment of quality of interdisciplinary communication around deterioration in pediatric oncologic patients. [PDF]

Front Oncol, 2023
Rivera J, Malone S, Puerto-Torres M, Prewitt K, Counts L, Wiphatphumiprates P, Sakaan F, Al Zebin Z, Arias AV, Bhattacharyya P, Gunasekera S, Johnson S, Kambugu J, Kaye EC, Mandrell B, Mack J, McArthur J, Mendez A, Morrissey L, Sharara-Chami R, Snaman J, Sniderman E, Luke DA, Graetz DE, Agulnik A.   +24 more
europepmc   +1 more source