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The 2000–2017 drought risk assessment of the western and southwestern basins in Iran

The study investigates the relationship between drought and vegetation variations in three main basins of western and southwestern of Iran, using the comprehensive approach of time-series analysis, Standardized Precipitation Index (SPI), and anomaly calculation. A total of 30 ground stations’ daily meteorological data and the MODIS 16-day composite NDVI products (2000–2017) were used in this case.

Collaboration in the making-towards a practice-based approach to university innovation intermediary organisations

The study aims to understand and explore situations of collaboration between various actors in connection with a university-driven innovation intermediary organisation, and how the intermediary organisation facilitates collaboration in the making. To this end, we employ a case of a university-driven long-lasting intermediary organisation within the agricultural and forestry sectors. We examine thr

Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in individuals with and without type 2 diabetes (T2D). Early diagnosis of NAFLD is important, as this can help prevent irreversible damage to the liver and, ultimately, hepatocellular carcinomas. We sought to expand etiological understanding and develop a diagnostic tool for NAFLD usin

Brands as activists : The Oatly case

In the light of climate change and ever-increasing evidence of the need for urgently changing food production and consumption, how do brands enter and leverage this debate? How can brands become activists by mobilizing debates around a political cause, and how can those debates promote the legitimacy of emerging industry practices? Through a case study of the now-famous food and beverage brand Oat

Non-linear flow modes of identified particles in Pb-Pb collisions at √sNN = 5.02 TeV

The pT-differential non-linear flow modes, v4,22, v5,32, v6,33 and v6,222 for π±, K±, KS0 , p + p ¯ , Λ + Λ ¯ and ϕ-meson have been measured for the first time at sNN = 5.02 TeV in Pb-Pb collisions with the ALICE detector at the Large Hadron Collider. The results were obtained with a multi-particle technique, correlating the identified hadrons with reference charged particles from a different pseu

Multi-parameter mapping (MPM) of relaxation (R1, R2*), proton density (PD) and magnetization transfer saturation (MT) at 3T: a multi-center dual-vendor reproducibility and repeatability study

Multicenter clinical and quantitative magnetic resonance imaging (qMRI) studies require a high degree of reproducibility across different sites and scanner manufacturers, as well as time points. We therefore implemented a multiparameter mapping (MPM) protocol based on vendor's product sequences and demonstrate its repeatability and reproducibility for whole‐brain coverage. Within ~20 min, four MPM

Upregulation of C1-inhibitor in pancreatic cancer

Purpose: The complement system has recently sparked more interest in cancer research. The classical pathway is initiated by activation of the C1 complex, which irreversibly can be bound to and inhibited by C1-INH. We have previously shown that C1-INH is upregulated in human glioblastoma (astrocytoma grade IV) on both gene and protein level. We here examine whether the complement system seems to pl

Prognostic implications of the expression levels of different immunoglobulin heavy chain-encoding RNAs in early breast cancer

The extent and composition of the immune response in a breast cancer is one important prognostic factor for the disease. The aim of the current work was to refine the analysis of the humoral component of an immune response in breast tumors by quantifying mRNA expression of different immunoglobulin classes and study their association with prognosis. We used RNA-Seq data from two local population-ba