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111 to 120 of 150 Results

Mean Yield Pressure (Py) and Strain Rate Sensitivity (SRS) of Polyols Aug 27, 2025 - Riga Stradiņš University Kukuls, Kirils; Frolova, Alīna Jaroslava; Horvath, Zoltan Mark; Gniazdowska, Elzbieta Maria; Mohylyuk, Valentyn, 2025, "Mean Yield Pressure (Py) and Strain Rate Sensitivity (SRS) of Polyols", https://doi.org/10.48510/FK2/KMWDO6 Pharmaceutically applicable polyols are represented by different chemical compounds with different structures by different commercial grades with different mechanical properties. The mean yield pressure (Py) reflects the required pressure for irreversible deformation of the material. While the strain rate sensitivity (SRS) reflects the effect of de... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Working Conditions and Risks in Latvia 2019 - 2021: Survey of Occupational Health Specialists Aug 27, 2025 - Riga Stradiņš University Vanadzins, Ivars; Akulova, Lasma; Paegle, Linda; Venzega, Kristiana; Lakisa, Svetlana; Sprudza, Klinta, 2023, "Working Conditions and Risks in Latvia 2019 - 2021: Survey of Occupational Health Specialists", https://doi.org/10.48510/FK2/LEDZ4D The Work conditions and risks in Latvia national surveys were conducted in Latvia in 2006, 2010, 2013, 2018 and 2022. The aim of these surveys is to gather evidence on situations related to occupational risk factors, occupational health, safety and to analyze the dynamics of the data obtained and identify the causes of the existing problems. This d... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Working Conditions and Risks in Latvia 2019 - 2021: Survey of Employees Aug 27, 2025 - Riga Stradiņš University Vanadzins, Ivars; Akulova, Lasma; Paegle, Linda; Venzega, Kristiana; Lakisa, Svetlana; Sprudza, Klinta, 2023, "Working Conditions and Risks in Latvia 2019 - 2021: Survey of Employees", https://doi.org/10.48510/FK2/LHXYSN, UNF:6:qkTCnHj8LpKenDjI21vBIg== [fileUNF] The Work conditions and risks in Latvia national surveys were conducted in Latvia in 2006, 2010, 2013, 2018 and 2022. The aim of these surveys is to gather evidence on situations related to occupational risk factors, occupational health, safety and to analyze the dynamics of the data obtained and identify the causes of the existing problems. This d... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Working Conditions and Risks in Latvia 2019 - 2021: Survey of Inhabitants in Latvia Aug 27, 2025 - Riga Stradiņš University Vanadzins, Ivars; Akulova, Lasma; Paegle, Linda; Venzega, Kristiana; Lakisa, Svetlana; Sprudza, Klinta, 2023, "Working Conditions and Risks in Latvia 2019 - 2021: Survey of Inhabitants in Latvia", https://doi.org/10.48510/FK2/LVKCTB, UNF:6:lbYtR/M16qQa4VucK3oGCw== [fileUNF] The Work conditions and risks in Latvia national surveys were conducted in Latvia in 2006, 2010, 2013, 2018 and 2022. The aim of these surveys is to gather evidence on situations related to occupational risk factors, occupational health, safety and to analyze the dynamics of the data obtained and identify the causes of the existing problems. This d... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
miRNA Expression and Clinical Data in the Urinary Bladder Cancer and Control Cohort Aug 27, 2025 - Riga Stradiņš University Gardovskis, Jānis; Daneberga, Zanda; Vjaters, Egils; Lietuvietis, Vilnis; Bļizņuks, Dmitrijs; Nakazawa (Miklasevica), Miki; Bitiņa-Barlote, Ērika; Plonis, Juris; Miklaševičs, Edvīns; Siliņa, Sanda; Šatcs, Mihails, 2024, "miRNA Expression and Clinical Data in the Urinary Bladder Cancer and Control Cohort", https://doi.org/10.48510/FK2/LZXMXB, UNF:6:qEPkDVmlKBLxbOv1w6VCqw== [fileUNF] The data set contains miRNA expression and clinical data in the urinary bladder cancer and control cohort. Reagents, commercial kits, equipment, and testing procedure described in Supplement 1. The testing material - the spontaneous fraction of urine collected with the VACUTEST Urine Collection system without preservative. Exosome enrichment prior... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Profiles of urinal exosomal miRNAs derivated from bladder cancer Aug 27, 2025 - Riga Stradiņš University Bitina-Barlote, Erika; Plonis, Juris; Vjaters, Egils; Gardovskis, Janis; Daneberga, Zanda; Miklasevics, Edvins; Nakazawa-Miklaševiča, Miki, 2021, "Profiles of urinal exosomal miRNAs derivated from bladder cancer", https://doi.org/10.48510/FK2/MQ8K26 The dataset consists of measurements of miR levels in urinal exosomes from bladder cancer patients and control subjects. This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
The prevalence and risk factors of self-reported hand eczema in health care versus non-health care workers during the COVID-19 pandemic in Latvia Aug 27, 2025 - Riga Stradiņš University Osa, Anastasija; Batarga, Elga, 2023, "The prevalence and risk factors of self-reported hand eczema in health care versus non-health care workers during the COVID-19 pandemic in Latvia", https://doi.org/10.48510/FK2/MXTYHM, UNF:6:sGjce/5VoAG4ILo87mFJXA== [fileUNF] Data were collected to investigate skincare habits and hand hygiene and to pinpoint the factors that could impact the occurrence of hand eczema, considering the adoption of novel hand hygiene practises and the diverse range of hand hygiene methods used throughout the COVID-19 pandemic. Data were collected via Google Forms questionnaire in Latvian l... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Densification Profiles of Polyols Aug 27, 2025 - Riga Stradiņš University Frolova, Alīna Jaroslava; Kukuls, Kirils; Horvath, Zoltan Mark; Gniazdowska, Elzbieta Maria; Mohylyuk, Valentyn, 2025, "Densification Profiles of Polyols", https://doi.org/10.48510/FK2/SLQKI9 Pharmaceutically applicable polyols are represented by different grades of different chemical compounds with different bulk properties. Bulk properties, such as bulk and tap density, as well as densification kinetics, are very important characteristics for the handling, transportation, processing, as well as formulation and manufacturing of nutrace... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Inflammatory markers in the first acute COVID-19 Aug 27, 2025 - Riga Stradiņš University Kolesova, Oksana; Vanaga, Ieva; Kolesovs, Aleksandrs; Viksna, Ludmila, 2024, "Inflammatory markers in the first acute COVID-19", https://doi.org/10.48510/FK2/TBZBNT, UNF:6:6maHAT4SQorKEYYvkHntPw== [fileUNF] Data include inflammatory markers at admission to the hospital in the first COVID-19 episode (n=150). Variables: Demographics, COVID-19 course characteristics such as pneumonia, respiratory failure (SpO2=<93%), outcome (discharge or lethal outcome), admission into the intensive care unit (ICU), comorbidities, smoking (yes/no), using of daily medica... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Powder X-ray Diffraction (pXRD) Profiles of Polyols Aug 27, 2025 - Riga Stradiņš University Horvath, Zoltan Mark; Frolova, Alīna Jaroslava; Kukuls, Kirils; Gniazdowska, Elzbieta Maria; Mohylyuk, Valentyn, 2025, "Powder X-ray Diffraction (pXRD) Profiles of Polyols", https://doi.org/10.48510/FK2/TDBOKG Pharmaceutically applicable polyols are represented with different chemical compounds, with different structures and solid-state properties. Solid-state properties, such as crystallinity and amorphicity, are very important characteristics for the formulation, processing, and physical/chemical stability of compounded samples or products. One of the... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

Mean Yield Pressure (Py) and Strain Rate Sensitivity (SRS) of Polyols

Aug 27, 2025 - Riga Stradiņš University

Kukuls, Kirils; Frolova, Alīna Jaroslava; Horvath, Zoltan Mark; Gniazdowska, Elzbieta Maria; Mohylyuk, Valentyn, 2025, "Mean Yield Pressure (Py) and Strain Rate Sensitivity (SRS) of Polyols", https://doi.org/10.48510/FK2/KMWDO6

Pharmaceutically applicable polyols are represented by different chemical compounds with different structures by different commercial grades with different mechanical properties. The mean yield pressure (Py) reflects the required pressure for irreversible deformation of the material. While the strain rate sensitivity (SRS) reflects the effect of de...