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Applying Bayesian hierarchical modelling to assess the speed of goal side selection in a soccer related penalty shot task

Traditionally, psychophysical data is modelled by fitting individual curves to each participant’s data and then by statistical analysis of the extracted parameters. A now viable alternative to this traditional two-stage approach is Bayesian hierarchical modelling (BHM). BHM allows for modelling all of the data and all of the parameters in one-step rather than two. Here, BHM is used to analyse the

Choice of High-Throughput Proteomics Method Affects Data Integration with Transcriptomics and the Potential Use in Biomarker Discovery

In recent years, several advances have been achieved in breast cancer (BC) classification and treatment. However, overdiagnosis, overtreatment, and recurrent disease are still significant causes of complication and death. Here, we present the development of a protocol aimed at parallel transcriptome and proteome analysis of BC tissue samples using mass spectrometry, via Data Dependent and Independ

Optimizing the sowing date to improve water management and wheat yield in a large irrigation scheme, through a remote sensing and an evolution strategy-based approach

This study aims to investigate the effects of an optimized sowing calendar for wheat over a surface irrigation scheme in the semi-arid region of Haouz (Morocco) on irrigation water requirements, crop growth and development and on yield. For that, a scenario-based simulation approach based on the covariance matrix adaptation–evolution strategy (CMA-ES) was proposed to optimize both the spatiotempor

Trialling exposure-based therapy for adolescent traumatic stress and substance use: Challenges and observations from a randomized controlled trial.

Background: For up to 50% of adolescents experiencing PTSD, the course of their illness is further complicated by co-occurring substance use. Despite this, evidence-based integrated treatment options for adolescents with this comorbidity remain sparse. To address this gap, we are conducting an RCT examining the efficacy of exposure-based therapy for co-occurring PTSD and substance use among adoles

Antimicrobial, anti-inflammatory, antiparasitic, and cytotoxic activities of Galium mexicanum

Ethnopharmacological relevance: To study the potential benefit of the traditional Mexican medicinal plant Galium mexicanum Kunth (Rubiaceae). Hexane, chloroform, and methanol extracts as well as various fractions from these extracts were tested to determine antibacterial, antifungal, antiparasitic or anti-inflammatory activities in vitro. Materials and methods: Aerial parts of the plant were extra

Multitarget Detection Strategy for Distributed MIMO Radar With Widely Separated Antennas

In this article, we propose a novel solution to detect multiple targets using a distributed multiple-input multiple-output (MIMO) radar under the so-called 'defocused transmit-defocused receive' operating mode. The proposed method employs a grid-based data matching algorithm, aiming to associate the target responses to potential target locations, solving the resulting data puzzle that evaluates th

Attacks on the Firekite Cipher

Firekite is a synchronous stream cipher using a pseudo-random number generator (PRNG) whose security is conjectured to rely on the hardness of the Learning Parity with Noise (LPN) problem. It is one of a few LPN-based symmetric encryption schemes, and it can be very efficiently implemented on a low-end SoC FPGA. The designers, Bogos, Korolija, Locher and Vaudenay, demonstrated appealing properties

Adding historical high-sensitivity troponin T results to rule out acute myocardial infarction

AIMS: The clinical usefulness of historical concentrations of high-sensitivity cardiac troponin T (hs-cTnT) is unknown. This study investigated the ability to rule out myocardial infarction (MI) with the use of historical hs-cTnT concentrations among patients with chest pain in the emergency department (ED).METHODS AND RESULTS: The derivation cohort consisted of patients presenting with chest pain

Landslide detection from bitemporal satellite imagery using attention-based deep neural networks

Torrential rainfall predisposes hills to catastrophic landslides resulting in serious damage to life and property. Landslide inventory maps are therefore essential for rapid response and developing disaster mitigation strategies. Manual mapping techniques are laborious and time-consuming, and thus not ideal in rapid response situations. Automated landslide mapping from optical satellite imagery us

Test-retest variability of plasma biomarkers in Alzheimer's disease and its effects on clinical prediction models

INTRODUCTION: The effect of random error on the performance of blood-based biomarkers for Alzheimer's disease (AD) must be determined before clinical implementation. METHODS: We measured test-retest variability of plasma amyloid beta (Aβ)42/Aβ40, neurofilament light (NfL), glial fibrillary acidic protein (GFAP), and phosphorylated tau (p-tau)217 and simulated effects of this variability on biomark

Intelligent multi-agent reinforcement learning model for resources allocation in cloud computing

Now more than ever, optimizing resource allocation in cloud computing is becoming more critical due to the growth of cloud computing consumers and meeting the computing demands of modern technology. Cloud infrastructures typically consist of heterogeneous servers, hosting multiple virtual machines with potentially different specifications, and volatile resource usage. This makes the resource alloc

Prognostic Significance of GPR55 mRNA Expression in Colon Cancer

G protein-coupled receptor 55 (GPR55) probably plays a role in innate immunity and tumor immunosurveillance through its effect on immune cells, such as T cells and NK cells. In this study, the prognostic value of GPR55 in colon cancer (CC) was investigated. mRNA expression levels of GPR55 were determined in 382 regional lymph nodes of 121 CC patients with 12 years observation time after curative s

Comparison of algorithms for classifying Swedish landcover using Landsat TM and ERS-1 SAR data

Sixteen landcover classes in a representative Swedish environment were analyzed and classified using one Landsat TM scene and seven ERS-1 SAR.PRI images acquired during 1993. Spectral and backscattering signature separabilities are analyzed using the Jeffries-Matusita distance measure to determine which combinations of channels/images contained the most information. Maximum likelihood, sequential

Management of acute uncomplicated diverticulitis without antibiotics: compliance and outcomes -a retrospective cohort study

MethodsRecent randomized control trials (RCTs) have confirmed that antibiotics in acute uncomplicated diverticulitis (AUD) neither accelerate recovery nor prevent complications or recurrences.A retrospective cohort study was conducted, including all consecutive AUD patients hospitalized 2015- 2018 at Helsingborg Hospital (HH) and Skåne University Hospital (SUS), Sweden. HH had implemented a non-an

Early chemical changes during wood decomposition are controlled by fungal communities inhabiting stems at treefall in a tropical dry forest

Purpose: A better knowledge of how deadwood decomposes is critical for accurately characterizing carbon and nutrient cycling in forests. Fungi dominate this decomposition process, but we still have limited understanding of fungal community structuring that ultimately controls the fate of wood decomposition. This is particularly true in tropical ecosystems. To address this knowledge gap, our study