The tree-like morphology of neurons and glia is a key cellular determinant of circuit connectivity and metabolic function in the nervous system of essentially all animals. To elucidate the contribution of specific cell types to both physiological and pathological brain states, it is important to access detailed neuroanatomy data for quantitative analysis and computational modeling. NeuroMorpho.Org is the largest online collection of freely available digital neural reconstructions and related metadata and is continuously updated with new uploads. Earlier in the project, we released multiple datasets together yearly, but this process caused an average delay of several months in making the data public. Moreover, in the past 5 years, >80% of invited authors agreed to share their data with the community via NeuroMorpho.Org, up from <20% in the first 5 years of the project. In the same period, the average number of reconstructions per publication increased 600%, creating the need for automatic processing to release more reconstructions in less time. The progressive automation of our pipeline enabled the transition to agile releases of individual datasets as soon as they are ready. The overall time from data identification to public sharing decreased by 63.7%; 78% of the datasets are now released in less than 3 months with an average workflow duration below 40 days. Furthermore, the mean processing time per reconstruction dropped from 3 h to 2 min. With these continuous improvements, NeuroMorpho.Org strives to forge a positive culture of open data. Most importantly, the new, original research enabled through reuse of datasets across the world has a multiplicative effect on science discovery, benefiting both authors and users.
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http://dx.doi.org/10.1096/fba.2024-00048 | DOI Listing |
NPJ Comput Mater
January 2025
School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, Storrs, CT USA.
Machine learning has advanced the rapid prediction of inorganic materials properties, yet data scarcity for specific properties and capturing thermodynamic stability remains challenging. We propose a framework utilizing a Graph Neural Network with composition-based and crystal structure-based architectures, combined with a transfer learning scheme. This approach accurately predicts energy-related properties (e.
View Article and Find Full Text PDFCommun Math Phys
January 2025
Institute of Mathematics, University of Zuerich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland.
We consider generalized interval exchange transformations (GIETs) of intervals which are , i.e. differentiably conjugated to standard interval exchange maps (IETs) via a diffeomorphism of [0, 1] and study the regularity of the conjugacy .
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Introduction: The Centers for Disease Control and Prevention (CDC) funded Cancer Prevention and Control Research Network (CPCRN) is a national network which aims to accelerate the adoption and implementation of evidence-based cancer prevention and control strategies and interventions in communities, enhance large-scale efforts to reach underserved populations and reduce their cancer-related health disparities, and develop the capacity of the dissemination and implementation work force specifically in cancer prevention and control.
Methods: Our site has been a part of the CPCRN since its inception in 2002 with the exception of the 2004-2009 funding cycle. As community-based participatory research is a core value of our center, we examined the development and continued engagement of our community partners using a qualitative, inductive approach to identify emergent themes from focus group sessions with current and past investigators.
J Mater Chem B
January 2025
Department of Medical Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, People's Republic of China.
Piezocatalytic therapy is an emerging therapeutic strategy for eradicating drug-resistant bacteria, but suffers from insufficient piezoelectricity and catalytic active site availability. Herein, Bi-vacancies (BiV) and corona polarization were introduced to BiOBr nanosheets to create a BiOBr-BiVP nanoplatform for piezocatalytic antibacterial therapy. This meticulously tailored strategy strengthens the built-in electric field of nanosheets, enhancing piezoelectric potential and charge density and boosting charge separation and migration efficiency.
View Article and Find Full Text PDFGlob Chang Biol
January 2025
Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.
Rapid warming in northern lands has led to increased ecosystem carbon uptake. It remains unclear, however, whether and how the beneficial effects of warming on carbon uptake will continue with climate change. Moreover, the role played by water stress in temperature control on ecosystem carbon uptake remains highly uncertain.
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