Academic Articles & Research Papers

Exploring Potential Therapeutic Applications of Tazarotene: Gene Regulation Mechanisms and Effects on Melanoma Cell Growth

Tazarotene, a retinoid derivative, is widely used in treating skin conditions such as psoriasis and acne. Recent studies have demonstrated its potential as a promising therapeutic agent for treating melanoma in situ. Its primary mechanism o...

Psychometric facets of Antifragility: Tolerance of Ambiguity, Hardiness, and Growth

This paper considers the issues, which are concerned with a new concept of antifragility. Quite recently, considerable attention has been paid to the concept of antifragility. Antifragility gains a special importance in studying psychologic...

Integration and collaboration in public health—a conceptual framework

With the increasing differentiation of organisations involved in the pursuit of public health, there is also a growing need for inter-organisational integration. Starting from the concepts of differentiation and integration, this article is...

Evidence for Enrichment of Niobium-92 in the Outer Protosolar Disk

The short-lived radionuclide, niobium-92 ( ^92 Nb), has been used to estimate the site of nucleosynthesis for p- nuclei and the timing of planetary differentiation, assuming that it was uniformly distributed in the early solar system. Here,...

Microstructure-based variational deep material networks for robust uncertainty quantification in materials digital twins

Abstract Aleatoric uncertainties – irremovable variability in microstructure morphology, constituent behavior, and processing conditions – pose a major challenge to developing uncertainty-robust digital twins. We introduce the Variational D...

Anaphore possessive et anaphore associative : le cas des noms collectifs

This paper is devoted to some anaphoric operations which are specific to the collection-member relation (e.g., regiment/soldiers, caravan/camels, forest/trees). This relation can be extremely flexible from the anaphoric standpoint, compared...

Post-democratic discursive hegemony – a natural language processing-based analysis of Hungarian parliamentary discourses between 1998-2020

The parliament, as a key component of the public sphere, is both a reflection of and a stage for the post-democratic transition. Our study examines Hungarian parliamentary discourse as an indicator of a transition in which democratic instit...

An endogenous retinoic acid response element enhancer controls Cyp26a1-mediated retinoic acid clearance during embryonic stem cell differentiation.

Wnt5a/Ca(2+) signal promotes myogenic differentiation by mediating a slow and sustained influx of Ca(2).

Accuracy of machine learning for differentiation between optic neuropathies and pseudopapilledema

Abstract Background This study is to evaluate the accuracy of machine learning for differentiation between optic neuropathies, pseudopapilledema (PPE) and normals. Methods Two hundred and ninety-five images of optic neuropathies, 295 images...

HRCTCov19-a high-resolution chest CT scan image dataset for COVID-19 diagnosis and differentiation

Abstract Introduction Computed tomography (CT) was a widely used diagnostic technique for COVID-19 during the pandemic. High-Resolution Computed Tomography (HRCT), is a type of computed tomography that enhances image resolution through the ...

Single-cell spatial metabolomics with cell-type specific protein profiling for tissue systems biology

Abstract Metabolic reprogramming in cancer and immune cells occurs to support their increasing energy needs in biological tissues. Here we propose Single Cell Spatially resolved Metabolic (scSpaMet) framework for joint protein-metabolite pr...

Machine Learning in Antenna Design: An Overview on Machine Learning Concept and Algorithms

With the growth and wide variety of available data, advanced processing, and affordable data storage, machine learning is witnessing great attention in finding optimized solutions in various fields. Machine learning techniques are currently...

Automatic Differentiation in Machine Learning: a Survey

Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD) is a technique for calculating derivatives of numeric functions expressed as computer programs efficiently and acc...

Artificial Intelligence-Driven Salivary Biomarkers for Detection and Risk Stratification of Oral Potentially Malignant Disorders and OSCC: A Protocol for a Systematic Review

Objective This systematic review protocol aims to synthesize evidence on artificial intelligence-driven analysis of salivary biomarkers for the detection, risk stratification and differentiation of OPMDs and OSCC, with particular attention ...

AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction

This viewpoint article explores the transformative role of artificial intelligence (AI) in predicting perioperative hypoxemia through the integration of deep learning with multimodal clinical data, including lung imaging, pulmonary function...

Nicotinamide riboside enhances chondrogenic differentiation of human adipose stem cells via inducing SIRT1-mediated deacetylation of SMAD7 and activation of TGF-β/SMAD2/3 pathway.