Zobrazeno 1 - 10
of 841
pro vyhledávání: '"P Suder"'
Transfer learning is a burgeoning concept in statistical machine learning that seeks to improve inference and/or predictive accuracy on a domain of interest by leveraging data from related domains. While the term "transfer learning" has garnered much
Externí odkaz:
http://arxiv.org/abs/2312.13484
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Addressing abdominal obesity requires multifaceted strategies, with physical activity and diet playing a pivotal role. The objective of this study was to assess alterations in body composition, adipokine concentrations, insulin resistance pa
Externí odkaz:
https://doaj.org/article/f7df5868bd1b42758318ac8604c2f1b6
Compositional data arise in many areas of research in the natural and biomedical sciences. One prominent example is in the study of the human gut microbiome, where one can measure the relative abundance of many distinct microorganisms in a subject's
Externí odkaz:
http://arxiv.org/abs/2212.09833
Publikováno v:
BMC Sports Science, Medicine and Rehabilitation, Vol 16, Iss 1, Pp 1-11 (2024)
Abstract Background Studies addressing age at peak height velocity (PHV) in longitudinal samples of participants in sports are relatively limited. Purpose To compare the growth status and estimated ages at PHV of longitudinal samples girls and boys a
Externí odkaz:
https://doaj.org/article/adc471ea9578420bb1957d32998f1a2e
Publikováno v:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej, Vol 28, Iss 2 (2024)
The COVID-19 pandemic forced businesses to adapt to new conditions, affecting technology transfer networks, including the largest, the Enterprise Europe Network (EEN). The study aimed to compare the effectiveness of events organized by the EEN networ
Externí odkaz:
https://doaj.org/article/15836261661b419ca0c769a8b9ae2bf7
Publikováno v:
10th International Conference on Control, Mechatronics and Automation (ICCMA), Belval, Luxembourg, 2022, pp. 47-52
This paper presents a methodology that forms an automated tool for robot kinematic representation conversion, called the RobKin Interpreter. It is a set of analytical algorithms that apply basic linear algebra tools that can analyze an input serial r
Externí odkaz:
http://arxiv.org/abs/2204.02629
Autor:
Patrycja Maciak, Agnieszka Suder, Jakub Wadas, Faith Aronimo, Paolo Maiuri, Michał Bochenek, Krzysztof Pyrc, Anna Kula-Pacurar, Marta Pabis
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Long non-coding RNAs (lncRNAs) constitute the largest and most diverse class of non-coding RNAs. They localize to the nucleus, cytoplasm, or both compartments, and regulate gene expression through various mechanisms at multiple levels. LncRN
Externí odkaz:
https://doaj.org/article/a571a16a5b9041819382f7de7de01f3f
Publikováno v:
Journal of Entrepreneurship, Management and Innovation, Vol 20, Iss 3, Pp 5-24 (2024)
PURPOSE: Due to the detrimental effects of the recent pandemic on the hotel sector, hotel resilience research and its impact on hotel recovery have received lots of academic attention. However, a sustainable perspective on hotel resilience, as an app
Externí odkaz:
https://doaj.org/article/b6f064a2843f4675bca16cfbaf00e4a8
Autor:
Marcin Suder
Publikováno v:
Journal of Entrepreneurship, Management and Innovation, Vol 20, Iss 2, Pp 9-35 (2024)
PURPOSE: This article aims to determine how companies in the SME sector modify their business strategies in response to changes in the external environment. The research focused on modifications to entrepreneurial strategies expressed through the fun
Externí odkaz:
https://doaj.org/article/13cb64828f074398a9b6c607463602f4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Metabolic syndrome (MetS) development is associated with insulin resistance and obesity, with the progression of visceral adipose tissue playing a crucial role. Excessive adipose tissue is accompanied by an increase in the asprosin (ASP), wh
Externí odkaz:
https://doaj.org/article/b8512e2b05b24d36a11ca4fddb0a9b9d