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Your search for "Cheap fc 26 coins Buyfc26coins.com is EA Sports official for FC 26 coins The process was smooth and quick..QXyW" yielded 91055 hits

Closed-Loop Regulation of Arterial Pressure after Acute Brain Death

Purpose: The purpose of this concept study was to investigate the possibility of automatic mean arterial pressure (MAP) regulation in a porcine heart-beating brain death (BD) model. Hemodynamic stability of BD donors is necessary for maintaining acceptable quality of donated organs for transplantation. Manual stabilization is challenging, due to the lack of vasomotor function in BD donors. Closed-

Co-expression of C-terminal truncated alpha-synuclein enhances full-length alpha-synuclein-induced pathology.

Lewy bodies, which are a pathological hallmark of Parkinson's disease, contain insoluble polymers of alpha-synuclein (alphasyn). Among the different modifications that can promote the formation of toxic alphasyn species, C-terminal truncation is among the most abundant alterations in patients with Parkinson's disease. In vitro, C-terminal truncated alphasyn aggregates faster and sub-stoichiometric

Force-based semantic representation and estimation of feature points for robotic cable manipulation with environmental contacts

This work demonstrates the utility of dual-arm robots with dual-wrist force-torque sensors in manipulating a Deformable Linear Object (DLO) within an unknown environment that imposes constraints on the DLO’s movement through contacts and fixtures. We propose a strategy to estimate the pose of unknown environmental contacts encountered during the manipulation of a DLO, classifying the induced const

Multipolar Opinion Evolution in Biased Networks

Motivated by empirical research on bias and opinion formation, we formulate a multidimensional nonlinear opinion-dynamical model where agents have individual biases, which are fixed, as well as opinions, which evolve. The dimensions represent competing options, of which each agent has a relative opinion, and are coupled through normalization of the opinion vector. This can capture, for example, an

FETCH : A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems

The rapid development of wearable biomedical systems now enables real-time monitoring of electroencephalography (EEG) signals. Acquisition of these signals relies on electrodes. These systems must meet the design challenge of selecting an optimal set of electrodes that balances performance and usability constraints. The search for the optimal subset of electrodes from a larger set is a problem wit

Experimental grazer exclusion increases pollination reliability and influences pollinator-mediated plant-plant interactions in tibetan alpine meadows

1. Co-flowering plant species often interact through shared pollinators, with effects ranging from positive (facilitation) to negative (competition). It remains unclear how this variation relates to variation in floral density, floral trait distinctiveness, and local environmental conditions. We studied the effect of grazer exclusion, a proposed local management strategy, on pollinator-mediated pl

A C++ Implementation of a Cartesian Impedance Controller for Robotic Manipulators

Cartesian impedance control is a type of motion control strategy for robots that improves safety in partially unknown environments by achieving a compliant behavior of the robot with respect to its external forces. This compliant robot behavior has the added benefit of allowing physical human guidance of the robot. In this paper, we propose a C++ implementation of compliance control valid for any

Symbolic neural networks for automated covariate modeling in a mixed-effects framework

Mixed-effects models are used to describe the inter-patient variability in drugs. Modeling of these variabilities include both fixed and random effects. Fixed effects relate covariates such as age and weight to compartment volumes and clearances, whereas random effects account for unexplained variability. Traditionally, the development of fixed effects models is an inefficient process where covari

Linear-quadratic level control for flotation through reinforcement learning

In the mining industry, flotation is a commonly used process to separate valuable minerals from waste rock in a concentrator. The rougher flotation is the first stage of the process and in Boliden AB’s concentrator at Aitik, it consists of two lines of four flotation cells each. In this paper we consider one line and the buffer tank upstream of it. Modeling this process step, and maintaining an up

Error Propagation Mitigation in Sliding Window Decoding of Spatially Coupled LDPC Codes

In this paper, we investigate the problem of decoder error propagation for spatially coupled low-density parity-check (SC-LDPC) codes with sliding window decoding (SWD). This problem typically manifests itself at signal-to-noise ratios (SNRs) close to capacity under low-latency operating conditions. In this case, infrequent but severe decoder error propagation can sometimes occur. To help understa

Mortality risks associated with sibling heart failure

Background The mortality in individuals with a family history of heart failure (HF) has not been determined. This nationwide sib-pair study aimed to determine mortality in individuals with a sibling affected with HF. Methods Sib-pairs were linked using the Swedish Multi-Generation Register, the Hospital Discharge Register and the Cause of Death Register for the period 1987–2012. Families with card

Commonly used estimates of the genetic contribution to disease are subject to the same fallacies as bad luck estimates

The scientific debate following the initial formulation of the “bad luck” hypothesis in cancer development highlighted how measures based on analysis of variance are inappropriately used for risk communication. The notion of “explained” variance is not only used to quantify randomness, but also to quantify genetic and environmental contribution to disease in heritability coefficients. In this pape

Modeling the assembly of oppositely charged lock- and key-colloids

The interaction of oppositely charged lock- and key-colloids is investigated using computer simulations. We show that indented spheres, i.e., lock-particles, can be specifically assembled with spherical key-particles using solely electrostatic interactions in addition to a hard overlap potential. An analytic description of the entropic and energetic contributions is derived and supported by simula

Accessing general IEEE Std. 1687 networks via functional ports

Reconfigurable scan networks (RSNs), like IEEE Std. 1687 networks, offer flexible and scalable access to embedded (on- chip) instruments. These networks are typically accessed from the outside via a dedicated test port, like the test access port (TAP) of IEEE Std. 1149.1. As not all integrated circuits have a dedicated test port, the IEEE Std. P1687.1 working group is exploring how existing functi

Impact of winter holiday and government responses on mortality in Europe during the first wave of the COVID-19 pandemic

BACKGROUND: This aggregated population study investigated the impact of the seemingly quasi-randomly assigned school winter holiday in weeks 6-10 (February to early March) on excess mortality in 219 European regions (11 countries) during the COVID-19 pandemic in the spring 2020. A secondary aim was to evaluate the impact of government responses to the early inflow of infected cases. METHODS: Data

English dictionaries, gold and silver standard corpora for biomedical natural language processing related to SARS-CoV-2 and COVID-19

Here we present a toolbox for natural language processing tasks related to SARS-CoV-2. It comprises English dictionaries of synonyms for SARS-CoV-2 and COVID-19, a silver standard corpus generated with the dictionaries and a gold standard corpus of 10 Pubmed abstracts manually annotated for disease, virus, symptom and protein/gene terms. This toolbox is freely available on github and can be used f

Developing a framework for characterising cascading failures in past events to inform emergency response decisions

Increasing interdependencies between critical infrastructures have made these systems more effective, but also more susceptible to cascading failures. In order to reduce the likelihood and consequences of cascading failures, it is essential to develop tools that support incident commander decisions so that an initial failure does not spread to other infrastructures. Here, a framework for generatin

Correcting for selective participation in cohort studies using auxiliary register data without identification of non-participants

Aims: Selective participation may hamper the validity of population-based cohort studies. The resulting bias can be alleviated by linking auxiliary register data to both the participants and the non-participants of the study, estimating propensity scores for participation and correcting for participation based on these. However, registry holders may not be allowed to disclose sensitive data on (in

NICER-SLAM : Neural Implicit Scene Encoding for RGB SLAM

Neural implicit representations have recently become popular in simultaneous localization and mapping (SLAM), especially in dense visual SLAM. However, existing works either rely on RGB-D sensors or require a separate monocular SLAM approach for camera tracking, and fail to produce high-fidelity 3D dense reconstructions. To address these shortcomings, we present NICER-SLAM, a dense RGB SLAM system