Results 51 to 60 of about 32,650 (259)

An Open‐Source Pipeline for Calcium Imaging and All‐Optical Physiology in Human Stem Cell‐Derived Neurons

open access: yesAdvanced Science, EarlyView.
This work introduces an open‐source all‐optical platform for functional phenotyping of human stem cell‐derived neurons. The system integrates optogenetics, calcium imaging, automated acquisition, and analysis to resolve single‐cell and network activity, enabling longitudinal measurements, disease modeling, and pharmacological screening in preclinical ...
Wardiya Afshar‐Saber   +12 more
wiley   +1 more source

Comparison of the Effect of Video Games, Catalogs, and Face-to-face Training Regarding the FIFA +11 Warm-up Program on the Level of Acceptance and Belief of Soccer Players [PDF]

open access: yesPhysical Treatments
Purpose: The purpose of this research was to compare the effect of video games, training with catalogs, and face-to-face training of the FIFA +11 warm-up program on the level of acceptance and belief of football players.
Samaneh Mohammadi Mahdiye   +4 more
doaj  

New Observational Material about Seismic and Non-Seismic Tsunamis in Greece and Surrounding Areas from 1900 to 2023

open access: yesGeoHazards
A new set of observations has been compiled for tsunamis occurring in Greece and in the surrounding areas from 1900 to 2023. A variety of information sources has been collected and examined, including scientific and press reports, books, eyewitness ...
Ioanna Triantafyllou   +1 more
doaj   +1 more source

Discovery of an Adaptive Neuroimmune Response Driving Itch and Fast Tick Removal with Implications for Preventing Pathogen Transmission

open access: yesAdvanced Science, EarlyView.
Itch‐induced tick removal (IITR): An acquired neuroimmune mechanism, itch‐induced tick removal, develops after repeated tick exposure, mobilizing T cells and macrophages at the tick bite site to trigger a rapid scratching response that facilitates timely tick removal within a critical window that preces the transmission of many tick‐borne pathogens ...
Johannes S. P. Doehl   +27 more
wiley   +1 more source

Asteroidal Activity among Meteor Datasets: Confirmed New “Rock-comet” Stream and Search for a Tidal-disruption Signature

open access: yesThe Astrophysical Journal
Asteroid activity (e.g., thermo-mechanical breakdown, impacts, rotational shedding, tidal disruption) can inject meteoroids into near-Earth space and leave detectable signatures in orbit catalogs.
Patrick M. Shober
doaj   +1 more source

Towards an Atlas of Metaverse in Architecture: Timeline 1980-2023

open access: yesimg journal
This study presents the latest results from a project aimed at creating an atlas of the Metaverse in architecture and design. The project is structured as an interactive conceptual map, published online, and spans from 1980-2023.
Giovanni Caffio, Maurizio Unali
doaj   +1 more source

Using Remote Access for Sharing Experiences in a Machine Design Laboratory [PDF]

open access: yes, 2013
A new Machine Design Laboratory at Marquette University has been created to foster student exploration and promote “hands-on” and “minds-on” learning. Laboratory experiments have been developed to give students practical experiences and expose them to ...
Marklin, Richard W., Jr.   +2 more
core   +1 more source

Development and Structural Characterization of UTE‐156, a Covalent Inhibitor of the VCP/p97 AAA+ ATPase

open access: yesAdvanced Science, EarlyView.
The AAA+ ATPase Valosin‐containing protein (VCP/p97) regulates protein homeostasis by unfolding ubiquitinated substrates. Here, we describe UTE‐156, a novel irreversible covalent inhibitor that modifies Cys522 in the D2 ATPase motor domain. Although its pharmacochemical limitations preclude immediate therapeutic use, UTE‐156 serves as a valuable ...
Daniela Tamayo‐Jaramillo   +8 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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