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Estimation of actual evapotranspiration : A novel hybrid method based on remote sensing and artificial intelligence

Actual evapotranspiration (AET) is one of the decisive factors controlling the water balance at the catchment level, particularly in arid and semi-arid regions, but measured data for which are generally unavailable. In this study, performance of a base artificial intelligence (AI) model, adaptive neuro-fuzzy inference system (ANFIS), and its hybrids with two bio-inspired optimization algorithms, n

Evaluating the impact of the environment on depleting groundwater resources: a case study from a semi-arid and arid climatic region

This study, for the first time, assesses the impact of critical environmental factors on groundwater using Bayesian network (BN) integrated with analytical hierarchy process (AHP) and develops a groundwater vulnerability map. The considered environmental factors are divided into the following categories: physical (rainfall, temperature (Tmax/Tmin), relative humidity (RHmax/RHmin)), water use and d

Human Rights as Law, Language, and Space-Making : Women’s Rights Movement in Post-Revolutionary Egypt

This dissertation analyses feminist activists’ use of human rights in post-revolutionary Egypt from 2011 to 2019. Drawing on interviews with feminist activists under three fieldwork trips, the dissertation investigates how: activists tried to implement gender equality in the country’s new constitutions, navigated the shrinking public space after 2013, sustained their activism against sexual violen

Structural basis for PoxtA-mediated resistance to phenicol and oxazolidinone antibiotics

PoxtA and OptrA are ATP binding cassette (ABC) proteins of the F subtype (ABCF). They confer resistance to oxazolidinone and phenicol antibiotics, such as linezolid and chloramphenicol, which stall translating ribosomes when certain amino acids are present at a defined position in the nascent polypeptide chain. These proteins are often encoded on mobile genetic elements, facilitating their rapid s

Seasonal variations in sleep duration and sleep complaints : A Swedish cohort study in middle-aged and older individuals

Subjective sleep reports are widely used research tools in epidemiology. Whether sleep reports can differ between seasons is less clear. Using multivariable binary or multinomial logistic regression analyses, in the present Swedish cross-sectional two-centre cohort study (N = 19,254; mean age 61 years), we found that participants surveyed during the summer (June–August) were more likely to report

A posterior convergence rate theorem for general Markov chains

This paper establishes a posterior convergence rate theorem for general Markov chains. Our approach is based on the Hausdorff α-entropy introduced by Xing (Electronic Journal of Statistics 2:848–62, 2008) and Xing and Ranneby (Journal of Statistical Planning and Inference 139 (7):2479–89, 2009). As an application we illustrate our results on a non linear autoregressive model.

Simultaneous Determination of Vitamin D and Its Hydroxylated and Esterified Metabolites by Ultrahigh-Performance Supercritical Fluid Chromatography-Tandem Mass Spectrometry

In this study, an analytical method has been developed that, for the first time, allows simultaneous determination of vitamin D2and vitamin D3along with their hydroxylated and esterified forms. A group of 12 vitamin D analogues including vitamin D2and vitamin D3, seven hydroxylated metabolites, and three ester forms were separated in a single 8.0 min run using ultrahigh-performance supercritical f

Ideal body image for the opposite sex and its association with body mass index

This research studied the preferences reported by women and men about their Ideal Body Image for the Opposite Sex (IBIOS), and its association with body mass index (BMI). It also analysed the preferences of each sex for a woman's ideal body image (W-IBI) and a man's ideal body image (M-IBI). A total of 450 participants aged 18-70 years with different weights were studied. Their IBIOS was assessed

Seeing lockdown through the eyes of children from around the world : Reflecting on a children's artwork project

The COVID-19 pandemic created new challenges for children including access to education and limiting social and emotional connections to extended family, friends, and the community. Globally, opportunities for sharing children’s self-reported experiences during lockdown were limited. The primary aim of this project was to create an art-eBook that reflects children’s experiences of life during the

Cause of death based on systematic post-mortem studies in patients with positive SARS-CoV-2 tissue PCR during the COVID-19 pandemic

Importance: Assessment of the causative association between the COVID-19 and cause of death has been hampered by limited availability of systematically performed autopsies. We aimed to present autopsy-confirmed causes of death in patients who died with COVID-19 and to assess the association between thrombosis and diffuse alveolar damage consistent with COVID-19 (DAD). Methods: Consecutive forensic

The best approach for functional tricuspid regurgitation : A network meta-analysis

Objective: For many years, functional tricuspid regurgitation (FTR) was considered negligible after treatment of left-sided heart valve surgery. The aim of the present network meta-analysis is to summarize the results of four approaches to establish the possible gold standard. Methods: A systematic search was performed to identify all publications reporting the outcomes of four approaches for FTR,

Benign prostatic hyperplasia/obstruction ameliorated using a soluble guanylate cyclase activator

Benign prostatic hyperplasia (BPH) is a feature of ageing males. Up to half demonstrate bladder outlet obstruction (BOO) with associated lower urinary tract symptoms (LUTS) including bladder overactivity. Current therapies to reduce obstruction, such as α1-adrenoceptor antagonists and 5α-reductase inhibitors, are not effective in all patients. The phosphodiesterase-5 inhibitor (PDE5I) tadalafil is

Loewner-based Data-driven Iterative Structured Control Design

Stability enforcement remains a challenge in data-driven control paradigms, where no parametrised model of the system is available. In the Loewner Data-Driven Control framework (L-DDC) [1] for instance, the system's instabilities are estimated in order to enforce a closed-loop stability constraint on the controller reduction step. In order to avoid this preliminary estimation of instabilities, thi

Personality-dependent inter- and intraspecific foraging competition in the invasive round goby, Neogobius melanostomus

This study examines the impact of boldness on foraging competition of the highly invasive round goby Neogobius melanostomus Pallas 1815. Individual risk tolerance, or boldness, was measured as the time to resume movement after a simulated predation strike. Fish that resumed movement faster were categorized as “bold,” fish that took more time to resume movement were categorized as “shy” and those t

Accurate Indoor Positioning Based on Learned Absolute and Relative Models

To improve the accuracy of indoor positioning systems it can be useful to combine different types of sensor data. This paper describes deep learning methods both for estimating absolute positions and for performing pedestrian dead reckoning, and then how to combine the resulting estimates using weighted least squares optimization. The positioning model is based on a custom neural network which use

Atrial Fibrillation Episode Patterns and Their Influence on Detection Performance

Existing studies offer little insight on how atrial fibrillation (AF) detection performance is influenced by the properties of AF episode patterns. The aim of this study is to investigate the influence of AF burden and median AF episode length on detection performance. For this purpose, three types of AF detectors, using either information on rhythm, rhythm and morphology, or ECG segments, were in

Natural history study of factor IX deficiency with focus on treatment and complications (B-Natural)

Introduction: Haemophilia B (HB) is less well studied than haemophilia A (HA); despite similarities between the two inherited bleeding disorders, important differences remain that require further research. Aim: B-Natural is a multi-centre, prospective, observational study of HB, designed to increase understanding of clinical manifestations, treatment, quality-of-life (QoL), inhibitor development,