Results 31 to 40 of about 144,244 (266)
Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
TINGKAT KECEMASAN MATEMATIS MAHASISWA DALAM MENGIKUTI PEMBELAJARAN ONLINE
Aksioma: Jurnal Program Studi Pendidikan Matematika, 2021 Penelitian deskriptif kualitatif ini dilakukan dengan tujuan untuk mendeskripsikan tingkat kecemasan matematis mahasiswa dalam mengikuti pembelajaran online dibandingkan dengan pembelajaran offline.
Agung Putra Wijaya +2 more
doaj +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Energies, 2020 Significant growth in solar photovoltaic (PV) installation has been observed during the last decade in standalone and grid-connected power generation systems. However, the PV system has a non-linear output characteristic because of weather intermittency,
Amjad Ali +9 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Emerging evidence suggests that low‐frequency neural oscillations are dynamically regulated by consciousness levels, with the recovery of low cortical activity potentially serving as a neurophysiological substrate for conscious emergence. Targeted enhancement of these low‐frequency rhythms in patients with disorders of consciousness
Chuan Xu +10 more
wiley +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Sample strategy based on TD-error for offline reinforcement learning
工程科学学报, 2023 Offline reinforcement learning uses pre-collected expert data or other empirical data to learn action strategies offline without interacting with the environment.
Longfei ZHANG +5 more
doaj +1 more source
CoRR, 2022 Offline reinforcement learning (offline RL) is an emerging field that has recently begun gaining attention across various application domains due to its ability to learn strategies from earlier collected datasets. Offline RL proved very successful, paving a path to solving previously intractable real-world problems, and we aim to generalize this ...
Li, Shuxin +6 more
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Uncoolness factor of collaborative Web Mining Tools (WMT)
International Journal of Interactive Multimedia and Artificial Intelligence, 2009 The recent development of social mining is a useful and direct analogy to talking about the less visible part of the adoption of successive waves of social software.
Juan Luis Chulilla Cano, Pilar Azagra
doaj