Results 61 to 70 of about 4,789,872 (297)

Applying interpersonal neuroscience for understanding classroom learning in students with ADHD

Frontiers in Psychology
Interpersonal neuroscience has gained importance in complementing single-person approaches to understand the neural underpinnings of learning in social contexts, mainly in neurotypical adults and children. This Perspective explores how such methods could
Vanessa Reindl, Vanessa Reindl, Nastassja L. Fischer, Nastassja L. Fischer, Kerstin Konrad, Kerstin Konrad, Victoria Leong   +6 more
doaj   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

The Potential of Knowledge and Local Wisdom Management for Learning in Lan Khoi Sub-district Community, Pa Phayom District, Phatthalung Province [PDF]

Journal of Humanities and Social Sciences Mahasarakham University, 2021
The objectives of this research were 1) to survey and collect the data of local wisdom of Ban Lan Khoi Community, Lan Khoi Sub-district, Pa Phayom District, Phatthalung Province.
Punja Chuchuay, Namfon Ployninpet, Phattira Klinlekha, Thuanthong Krutchon   +3 more
doaj  

Policy, paradigms, and partnership potential: rethinking the governance of learning networks [PDF]

, 2013
**IP Unitl May 3**This paper engages with the idea of ‘joining-up’ as an increasingly common policy response by governments internationally in the face of so-called ‘wicked problems’ (Rittel and Webber 1973).
Kamp, Annelies
core  

The Potential of the Intel Xeon Phi for Supervised Deep Learning

, 2015
Supervised learning of Convolutional Neural Networks (CNNs), also known as supervised Deep Learning, is a computationally demanding process. To find the most suitable parameters of a network for a given application, numerous training sessions are ...
Pllana, Sabri, Viebke, Andre
core   +1 more source

Towards mobile learning deployment in higher learning institutions : a report on the qualitative inquiries conducted in four universities in Tanzania [PDF]

, 2018
Over the past two decades, mobile learning (m-learning) has been a purposeful area of research among educational technologists, educators and instructional designers whereby doubts and controversies over its relevancy and applicability have been keenly ...
De Smet, Egbert, Ghasia, Mohamed, Machumu, Haruni, Musabila, Albogast   +3 more
core   +2 more sources

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

Pose Embeddings: A Deep Architecture for Learning to Match Human Poses [PDF]

, 2015
We present a method for learning an embedding that places images of humans in similar poses nearby. This embedding can be used as a direct method of comparing images based on human pose, avoiding potential challenges of estimating body joint positions ...
Kothari, Nisarg, Leung, Thomas, Mori, Greg, Pantofaru, Caroline, Toderici, George, Toshev, Alexander, Yang, Weilong   +6 more
core  

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source