21 results match your criteria: "Higher School of Economics University[Affiliation]"

Machine learning models for predicting risks of MACEs for myocardial infarction patients with different VEGFR2 genotypes.

Front Med (Lausanne)

September 2024

Faculty of Computer Science, AI and Digital Science Institute, International Laboratory of Bioinformatics, Higher School of Economics University, Moscow, Russia.

Article Synopsis
  • The study develops a machine learning model to predict major adverse cardiac events (MACEs) in high-risk myocardial infarction (MI) patients, incorporating clinical, imaging, laboratory, and genetic data.
  • It analyzes data from 218 MI patients over 9 years, focusing on the influence of the VEGFR-2 gene variant as part of the overall risk assessment.
  • The CatBoost algorithm performed best, with statin dosage and genetic factors identified as key predictors of adverse events, highlighting the potential for personalized treatment approaches based on genetic information.
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While there are several studies that examine the performance implications of different strategic orientations, little is known regarding the complex interplay between the two prominent strategic orientations and strategic capabilities in impacting firm performance. Notably, it is ambiguous how a firm's strategic orientations are aligned with different strategic capabilities to maintain competitive performance. To address this gap, the study employs a moderated mediation analysis to investigate the mediating role of strategic capabilities in the relationship between market, technology orientations, and firm performance.

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The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII.

Database (Oxford)

August 2024

National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), 8600 Rockville Pike, Bethesda, MD 20894, United States.

The BioRED track at BioCreative VIII calls for a community effort to identify, semantically categorize, and highlight the novelty factor of the relationships between biomedical entities in unstructured text. Relation extraction is crucial for many biomedical natural language processing (NLP) applications, from drug discovery to custom medical solutions. The BioRED track simulates a real-world application of biomedical relationship extraction, and as such, considers multiple biomedical entity types, normalized to their specific corresponding database identifiers, as well as defines relationships between them in the documents.

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Recent neurophysiological studies provide inconsistent results of frontoparietal network (FPN) stimulation for altering working memory (WM) capacity. This study aimed to boost WM capacity by manipulating the activity of the FPN via dual-site high-definition transcranial direct current stimulation. Forty-eight participants were randomly assigned to three stimulation groups, receiving either simultaneous anodal stimulation of the frontal and parietal areas (double stimulation), or stimulation of the frontal area only (single stimulation), or the placebo stimulation (sham) to frontal and parietal areas.

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We deal with the reduced four-equation model for the dynamics of heterogeneous compressible binary mixtures with the stiffened gas equations of state. We study its further reduced form, with the excluded volume concentrations, and with a quadratic equation for the common pressure of the components; this form can be called a quasi-homogeneous form. We prove new properties of the equation, derive simple formulas for the squared speed of sound, and present an alternative proof for a formula that relates it to the squared Wood speed of sound; also, a short derivation of the pressure balance equation is given.

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Pharmaceutical companies operate in a strictly regulated and highly risky environment in which a single slip can lead to serious financial implications. Accordingly, the announcements of clinical trial results tend to determine the future course of events, hence being closely monitored by the public. Most works focus on retrospective analysis of announcement impact on company stock prices, bypassing the consideration of the problem in the predictive paradigm.

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Understanding material and energy use in the processes of decoupling CO emissions from economic growth.

Environ Sci Pollut Res Int

July 2023

Department of Economics, Faculty of Economics and Administrative Sciences, Eskişehir Osmangazi University, Eskişehir, Turkey.

The share of emissions from materials has dramatically increased over the last decades and is projected to rise in the coming years. Therefore, understanding the environmental effect of materials becomes highly crucial, especially from the climate mitigation perspective. However, its effect on emissions is often overlooked and more attention is heavily paid to the energy-related policies.

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On Regularized Systems of Equations for Gas Mixture Dynamics with New Regularizing Velocities and Diffusion Fluxes.

Entropy (Basel)

January 2023

Department of Mathematics, Faculty of Economic Sciences, Higher School of Economics University, Pokrovskii Bd. 11, Moscow 109028, Russia.

Article Synopsis
  • The text discusses a study on the dynamics of inert gas mixtures using multidimensional regularized systems of equations, focusing on the balance of mass, momentum, and energy, along with effects of diffusion and viscosity.
  • It introduces a new method for regularizing velocities that incorporate total pressure and derives an equation for entropy production to ensure physical correctness of the model.
  • The paper presents proofs of the existence and uniqueness of weak solutions, explores relevant properties of the original systems, and validates a specific finite-difference discretization in one dimension, supported by numerical experiments demonstrating its effectiveness in simulating gas interactions.
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VO Phase Mixture of Reduced Single Crystalline VO: VO Resistive Switching.

Materials (Basel)

October 2022

School of Physics and Centre for Research on Adaptive Nanostructures and Nanodevices (CRANN), Trinity College Dublin, D02PD91 Dublin, Ireland.

The strongly correlated electron material, vanadium dioxide (VO2), has seen considerable attention and research application in metal-oxide electronics due to its metal-to-insulator transition close to room temperature. Vacuum annealing a V2O5(010) single crystal results in Wadsley phases (VnO2n+1, n > 1) and VO2. The resistance changes by a factor of 20 at 342 K, corresponding to the metal-to-insulator phase transition of VO2.

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According to the sequential stage model, the selection and the execution of a motor response are two distinct independent processes. Here, we propose a new adaptive paradigm for identifying the individual duration of the response preparatory period based on the motor reaction time (RT) data. The results are compared using the paradigm with constant values of the preparatory period.

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At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions.

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Policymakers around the world are enforcing mobility restriction policies such as lockdowns, facemask requirements and social distancing to curb the spread of Covid-19. While these policies are effective in preventing the spread of virus, the economic implications are not well understood. We contribute to the literature by examining the impact of these policies on the offline retail sector.

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This paper investigates the forecasting performance for credit default swap (CDS) spreads by Support Vector Machines (SVM), Group Method of Data Handling (GMDH), Long Short-Term Memory (LSTM) and Markov switching autoregression (MSA) for daily CDS spreads of the 513 leading US companies, in the period 2009-2020. The goal of this study is to test the forecasting performance of these methods before and during the Covid-19 pandemic and to check whether there are changes in the market efficiency. MSA outperforms all other methods most frequently.

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Understanding the mechanisms that regulate cancer progression is pivotal for the development of new therapies. Although p53 is mutated in half of human cancers, its family member p73 is not. At the same time, isoforms of p73 are often overexpressed in cancers and p73 can overtake many p53 functions to kill abnormal cells.

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Public Health, Democracy, and Transition: Global Evidence and Post-Communism.

Soc Indic Res

September 2021

Institute for Russian and Eurasian Studies (IRES), Uppsala University, Uppsala, Sweden.

Democracy is generally associated with governmental accountability, better public policy choices and public health. However, there is limited evidence about how political regime impacts public health. We use two samples of the states around the world to trace the impact of regime transition on public health: the first sample comprises 29 post-communist states, along with 20 consolidated democracies, for the period of 1970-2014; the second sample is a subsample of the same 29 post-communist states but only for the period of transition, 1990-2014.

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Recent experimental evidence reveals that information is often avoided by decision makers in order to create and exploit a so-called "moral wiggle room," which reduces the psychological and moral costs associated with selfish behavior. Despite the relevance of this phenomenon for corrupt practices from both a legal and a moral point of view, it has hitherto never been examined in a corruption context. We test for information avoidance in a framed public procurement experiment, in which a public official receives bribes from two competing firms and often faces a tradeoff between maximizing bribes and citizen welfare.

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Highly sensitive, specific, rapid, and easy-to-use diagnostic methods for the detection of nucleic acids of pathogens are required for the diagnosis of many human, animal, and plant diseases and environmental monitoring. The approaches based on the use of the natural ability of bacterial CRISPR/Cas9 systems to recognize DNA sequences with a high specificity under isothermal conditions are an alternative to the polymerase chain reaction method, which requires expensive laboratory equipment. The development of the methods for signal registration with the formation of a DNA/RNA/Cas9 protein complex is a separate bioengineering task.

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Culture evolves in ways that are analogous to, but distinct from, genomes. Previous studies examined similarities between cultural variation and genetic variation (population history) at small scales within language families, but few studies have empirically investigated these parallels across language families using diverse cultural data. We report an analysis comparing culture and genomes from in and around northeast Asia spanning 11 language families.

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Background: Mesothelial E- and P-selectins substantially mediate the intraperitoneal spread of Pancreatic ductal adenocarcinoma (PDA) cells in xenograft models. In the absence of selectins in the host, the integrin subunit alpha-V (ITGAV, CD51) was upregulated in the remaining metastatic deposits. Here we present the first experimental study to investigate if ITGAV plays a functional role in PDA tumor growth and progression with a particular focus on intraperitoneal carcinomatosis.

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Hepatitis B virus (HBV)-associated hepatocellular carcinoma (HBV-HCC) pathogenesis is fueled by persistent HBV infection that stealthily maintains a delicate balance between viral replication and evasion of the host immune system. HBV is remarkably adept at using a combination of both its own, as well as host machinery to ensure its own replication and survival. A key tool in its arsenal, is the HBx protein which can manipulate the epigenetic landscape to decrease its own viral load and enhance persistence, as well as manage host genome epigenetic responses to the presence of viral infection.

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