Results 131 to 140 of about 319,994 (331)
Temporal Interference Stimulation Enhances Neural Regeneration
Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressotti +15 more
wiley +1 more source
GitHub enables collaborative and reproducible laboratory research.
GitHub, a platform widely used in software development, offers a robust framework for documenting all activities of laboratory research projects.
Katharine Y Chen +2 more
doaj +1 more source
anyLib: Install and Load Any Package from CRAN, Bioconductor or Github [PDF]
Aurélien Chateigner
openalex +1 more source
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
Who makes open source code? The hybridisation of commercial and open source practices
While Free and Open Source (F/OSS) coding has traditionally been described as a separate commons linked to values of openness and sharing, recent research suggests an increasing integration of private corporations into F/OSS practices, blurring the ...
Peter Mehler +2 more
doaj +1 more source
Although the tumor microenvironment is known to shape immunotherapy response, its key determinants remain elusive, underscoring the critical need for single‐cell resolution analytical frameworks. We present scResponse, an efficient algorithm to quantify single‐cell responses to immunotherapy. By capturing diverse cellular subtypes and states associated
Qi Dong +21 more
wiley +1 more source
An assessment of large language models for OpenMP-based code parallelization: a user perspective
Large language models have sparked a lot of attention in the research community in recent days, especially with the introduction of practical tools such as ChatGPT and Github Copilot.
Marko Mišić, Matija Dodović
doaj +1 more source
A User Evaluation of a Collaborator Recommender based on Co-Changed Files
Active collaboration is essential for the success of software projects across the development life-cycle. Unfortunately, in social coding platforms, such as GitHub, it is still challenging for developers to identify potential collaborators with whom ...
Kattiana Constantino +2 more
doaj +1 more source
LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN prover
Recently, large language models have presented promising results in aiding formal mathematical reasoning. However, their performance is restricted due to the scarcity of formal theorem-proving data, which requires additional effort to be extracted from raw formal language corpora. Meanwhile, a significant amount of human-written formal language corpora
Zijian Wu 0002 +3 more
openaire +2 more sources
Using field‐based holo‐omics, we demonstrate that developmental shifts in sorghum leaf metabolomes drive a noncanonical fungal succession from stress tolerators (S) through ruderals (R) to competitors (C). Antifungal metabolites in young leaves select for S strategists with expanded genomes, transient maltose pulses during flowering favor fast‐growing ...
Peilin Chen, John W. Taylor, Cheng Gao
wiley +1 more source

