Results 61 to 70 of about 788,466 (338)

A unified model for Duchenne muscular dystrophy gene involvement in cancer: context‐dependent tumour suppression and oncogenicity

open access: yesFEBS Open Bio, EarlyView.
We propose a context‐dependent model where the Duchenne muscular dystrophy (DMD) gene acts as a tumour suppressor in aggressive tumours and as an oncogene in less aggressive ones. We propose this model as a unified framework to explain the opposing survival associations with DMD expression and to guide experimental exploration of the dual role of DMD ...
Lee Machado   +4 more
wiley   +1 more source

Philosophical and Methodological Problems of Modern Neurotheology

open access: yesRUDN Journal of Philosophy, 2023
In modern science, research aimed at studying the functioning of the human brain under the influence of various factors of the social and natural environment, including religious practices, both personal and social, is relevant.
Aleksey A. Lagunov, Svetlana Yu. Ivanova
doaj   +1 more source

Continuous testing for Poisson process intensities: A new perspective on scanning statistics

open access: yes, 2017
We propose a novel continuous testing framework to test the intensities of Poisson Processes. This framework allows a rigorous definition of the complete testing procedure, from an infinite number of hypothesis to joint error rates.
Picard, Franck   +2 more
core   +1 more source

The impact of Hnrnpl deficiency on transcriptional patterns of developing muscle cells

open access: yesFEBS Open Bio, EarlyView.
We performed nanopore whole‐transcriptome sequencing comparing RNA from Hnrnpl‐knockdown versus control C2C12 myoblasts to investigate the contributions of Hnrnpl to muscle development. Our results indicate that Hnrnpl regulates the expression of genes involved with Notch signaling and skeletal muscle, particularly splicing patterns of specific muscle ...
Hannah R. Littel   +8 more
wiley   +1 more source

Ensinar neurociências em educação física no Brasil: uma proposta de integração Enseñar neurociencia en educación física en Brasil: un propuesta de integración Teaching Neuroscience in Physical Education in Brazil: A Proposal for Integration

open access: yesEducación y Educadores, 2012
Ante a efetividade da neurociência no desenvolvimento de diferentes áreas do conhecimento, propõe-se adotar o ensino dessa disciplina nos programas de educação física, com o objetivo de que estudantes e profissionais aprendam estratégias didáticas que ...
André Luiz Monezi-Andrade   +3 more
doaj  

A scientific rationale for consciousness

open access: yesSubstantia, 2019
Consciousness is a concept that can be easily experimented but not easily defined. We show that the same observation applies to information, entropy and even energy.
Marc Henry, Jean-Pierre Gerbaulet
doaj   +1 more source

Somatic comorbidity and the progression of cognitive impairment

open access: yesFrontiers in Aging Neuroscience, 2023
BackgroundThere are usually multiple factors underlying dementia in old age. Somatic comorbidity is one important element that influences the progression of cognitive impairment.ObjectiveThe goal of this study was to assess the relationship between the ...
Leszek Bidzan   +8 more
doaj   +1 more source

Teratogenic effects of gabapentin on the skeletal system of Balb/C mice fetuses [PDF]

open access: yes, 2009
Objectives: To evaluate the effects of gabapentin )GBP( administration on mice fetuses. Methods: This study was carried out in Birjand University of Medical Sciences during 2008.
Afshar, M.   +4 more
core  

Information-Matter Bipolarity of the Human Organism and Its Fundamental Circuits: From Philosophy to Physics/Neurosciences-Based Modeling [PDF]

open access: yes, 2020
Starting from a philosophical perspective, which states that the living structures are actually a combination between matter and information, this article presents the results on an analysis of the bipolar information-matter structure of the ...
Gaiseanu, Florin
core  

Machine Learning in Acute Ischemic Stroke Neuroimaging

open access: yesFrontiers in Neurology, 2018
Machine Learning (ML) through pattern recognition algorithms is currently becoming an essential aid for the diagnosis, treatment, and prediction of complications and patient outcomes in a number of neurological diseases.
Haris Kamal   +2 more
doaj   +1 more source

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