Ara
Toplam kayıt 465, listelenen: 441-450
Inequality in leisure mobility: An analysis of activity space segregation spectra in the Stockholm conurbation
(ELSEVIER, 2023)
Leisure mobility forms an important part of people’s spatial activity and mobility spectrum. This study aims to
analyse the inequality dimensions of spatial mobility of individuals who seek to move to recreational and ...
Progression of irradiated mesenchymal stromal cells from early to late senescence: Changes in SASP composition and anti-tumour properties
(WILEY Online Library, 2023)
Genotoxic injuries converge on senescence-executive program that promotes production of a senescence-specific secretome (SASP). The study of SASP is particularly intriguing, since through it a senescence process, triggered ...
Leisure mobility changes during the COVID-19 pandemic – An analysis of survey and mobile phone data in Sweden
(ELSEVIER, 2023)
The COVID-19 pandemic affected travelling in general, and the leisure mobility and the spatial distribution of travellers in particular. In most parts of the world, both domestic and international travel has been replaced ...
Synthesis and Comprehensive in Vivo Activity Profiling of Olean-12-en-28-ol, 3β-Pentacosanoate in Experimental Autoimmune Encephalomyelitis: A Natural Remyelinating and Anti-Inflammatory Agent
(American Chemical Society(ACM), 2023)
Multiple sclerosis (MS) treatment has received much attention, yet there is still no certain cure. We herein investigate the therapeutic effect of olean-12-en-28-ol, 3β-pentacosanoate (OPCA) on a preclinical model of MS. ...
Analyzing the genetic diversity and biotechnological potential of Leuconostoc pseudomesenteroides by comparative genomics
(Frontiers Media S.A., 2023)
Leuconostoc pseudomesenteroides is a lactic acid bacteria species widely exist in fermented dairy foods, cane juice, sourdough, kimchi, apple dumpster, caecum, and human adenoid. In the dairy industry, Ln. pseudomesenteroides ...
miRdisNET: Discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning
(Frontiers Media S.A., 2023)
During recent years, biological experiments and increasing evidence have shown that microRNAs play an important role in the diagnosis and treatment of human complex diseases. Therefore, to diagnose and treat human complex ...
A Semi-Analytic Method for Solving Singularly Perturbed Twin-Layer Problems with a Turning Point
(Vilnius Gediminas Technical University, 2023)
This computational study investigates a class of singularly perturbed second-order boundary-value problems having dual (twin) boundary layers and simple turning points. It is well-known that the classical discretization ...
A toolbox of machine learning software to support microbiome analysis
(Frontiers Media SA, 2023)
The human microbiome has become an area of intense research due to its
potential impact on human health. However, the analysis and interpretation
of this data have proven to be challenging due to its complexity and ...
Tattoo-Like Multi-Color Physically Unclonable Functions
(WILEY, 2023)
Advanced anti-counterfeiting and authentication approaches are in urgent need of the rapidly digitizing society. Physically unclonable functions (PUFs) attract significant attention as a new-generation security primitive. ...
Investigation of the Interaction of Adipose-Derived Mesenchymal Stem Cells with ε-Polycaprolactone and Egg White Scaffolds
(GAZİ ÜNİVERSİTESİ, 2023)
The development of three-dimensional (3D) cell culture models is becoming increasingly
important due to their numerous advantages over conventional monolayer culture. This study
aimed to examine the interaction of adipose ...