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Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1)

open access: yesThe Programming Historian, 2022
This is the first of a two-part lesson introducing deep learning based computer vision methods for humanities research. Using a dataset of historical newspaper advertisements and the fastai Python library, the lesson walks through the pipeline of ...
Daniel van Strien   +4 more
doaj   +1 more source

How deep learning works --The geometry of deep learning

open access: yesCoRR, 2017
16 pages, 13 ...
Xiao Dong, Jiasong Wu, Ling Zhou
openaire   +2 more sources

Change in Mental Health and Resilience in Childhood Cancer Survivors After Attending a Person‐Centred State‐of‐the‐Art Late Effects Clinic—on Behalf of the PanCareFollowUp Consortium

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Person‐centred follow‐up care based on evidence‐based clinical practice guidelines and providing individualised information should help to inform and reassure survivors about their medical and psychosocial situation and provide treatment and support where needed.
Gisela Michel   +36 more
wiley   +1 more source

Development of a Japanese polygenic risk score model for amyloid-β PET imaging in Alzheimer’s disease

open access: yesAlzheimer’s Research & Therapy
Background The use of polygenic risk scores (PRS) for predicting disease risk in Japanese populations, particularly for dementia and related phenotypes, remains markedly unexplored.
Misato Kaishima   +6 more
doaj   +1 more source

Envisioning Answers: Unleashing Deep Learning for Visual Question Answering in Artistic Images [PDF]

open access: yesAUT Journal of Electrical Engineering
In specialized fields, the accurate answering of visual questions is crucial for practical applications, and this study focuses on improving a visual question-answering model for artistic images by utilizing a dataset with both visual and knowledge-based
Erfan Zolghadriha   +2 more
doaj   +1 more source

Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2)

open access: yesThe Programming Historian, 2022
This is the second of a two-part lesson introducing deep learning based computer vision methods for humanities research. This lesson digs deeper into the details of training a deep learning based computer vision model.
Daniel van Strien   +4 more
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Experimental-analytical and digital based investigation of 3D printed sandwich sand mold used for precast structure

open access: yesCase Studies in Construction Materials
The 3D printing technique for sand mold exhibited the good response of precast concrete structure manufacturing process. The designed sandwich core structure, including solid core, diamond core, honeycomb core, pyramid core and round O core were ...
Khoa Vo Anh Pham   +4 more
doaj   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

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