Mortality predictors in earthquake victims admitted to intensive care unit in Kahramanmaraş earthquakes.

Background: The purpose of this study is to report the data for patients followed-up in our intensive care unit due to the 6th February 2023, earthquake in Kahramanmaraş, Türkiye, and to investigate parameters affecting mortality.

Methods: The demographic characteristics of patients followed-up in intensive care due to trauma following the earthquake, the treatments administered, developing complications, lengths of stay in the hospital and intensive care, and laboratory data were scanned retrospectively and recorded. These data were then compared between the surviving and non-surviving patients.

EFFECTS OF HYDROXYCHLOROQUINE PLUS FAVIPIRAVIR TREATMENT ON THE CLINICAL COURSE AND BIOMARKERS IN HOSPITALIZED COVID-19 PATIENTS WITH PNEUMONIA.

Background: The novel coronavirus disease 2019 (COVID-19) has a broad spectrum of clinical manifestations, the most common serious clinical manifestation of the coronavirus infection being pneumonia. Unfortunately, the optimal treatment approach is still uncertain. However, many studies have been conducted on the effectiveness of several medications in the treatment of COVID-19 infection.

Building the European Social Innovation Database with Natural Language Processing and Machine Learning.

Social innovation is widely defined as technological and non-technological new products, services or models that simultaneously meet social needs and create new social relationships or collaborations. Despite a significant interest in the concept, the lack of reliable and comprehensive data is a barrier for social science research. We created the European Social Innovation Database (ESID) to address this gap.

Prognostic factors for 30-days mortality in eighty years aged and older critically ill patients: a single center retrospective cohort study.

Background/aim: Nowadays, with the rise in average life expectancy, the rate of hospitalization of the older population in intensive care unit (ICU) is gradually increasing. Unfortunately, there are no ideal combination of prognostic factors predicting the mortality in older patients admitted to the ICU. In the present study, we aim to determine the prognostic factors and their impacts on short-time mortality in older critically ill patients.

Differential diagnosis of COVID-19 pneumonia from acute heart failure in pandemic: Importance of radiological and laboratory findings.

Introduction: COVID-19 pneumonia typically presents with high fever, cough, and shortness of breath and on thorax computed tomography (CT) peripheral ground glass opacities help the diagnosis. Although typical imaging findings for COVID-19 pneumonia are specified in thorax CT, these findings can be confused with other diseases. The aim of this study is to investigate the roles of radiological imaging and laboratory findings in the differential diagnosis of COVID-19 pneumonia and acute heart failure (AHF).

Identifying author heritage using surname data: An application for Russian surnames.

This research article puts forward a method to identify the national heritage of authors based on the morphology of their surnames. Most studies in the field use variants of dictionary-based surname methods to identify ethnic communities, an approach that suffers from methodological limitations. Using the public file of ORCID (Open Researcher and Contributor ID) identifiers in 2015, we developed a surname-based identification method and applied it to infer Russian heritage from suffix-based morphological regularities.

All-Silicon Ultra-Broadband Infrared Light Absorbers.

Absorbing infrared radiation efficiently is important for critical applications such as thermal imaging and infrared spectroscopy. Common infrared absorbing materials are not standard in Si VLSI technology. We demonstrate ultra-broadband mid-infrared absorbers based purely on silicon.

Graphene enterprise: mapping innovation and business development in a strategic emerging technology.

This paper explores enterprise development and commercialization in the field of graphene. Firm characteristics and relationships, value chain positioning, and factors associated with product entry are examined for a set of 65 graphene-oriented small and medium-sized enterprises located in 16 different countries. As well as secondary sources and bibliometric methods to profile developments in graphene, we use computerized data mining and analytical techniques, including cluster and regression modeling, to identify patterns from publicly available online information on enterprise web sites.

Mapping the patent landscape of synthetic biology for fine chemical production pathways.

A goal of synthetic biology bio-foundries is to innovate through an iterative design/build/test/learn pipeline. In assessing the value of new chemical production routes, the intellectual property (IP) novelty of the pathway is important. Exploratory studies can be carried using knowledge of the patent/IP landscape for synthetic biology and metabolic engineering.

Science system path-dependencies and their influences: nanotechnology research in Russia.

In this paper, we study the influence of path dependencies on the development of an emerging technology in a transitional economy. Our focus is the development of nanotechnology in Russia in the period between 1990 and 2012. By examining outputs, publication paths and collaboration patterns, we identify a series of factors that help to explain Russia's limited success in leveraging its ambitious national nanotechnology initiative.

Use of web mining in studying innovation.

As enterprises expand and post increasing information about their business activities on their websites, website data promises to be a valuable source for investigating innovation. This article examines the practicalities and effectiveness of web mining as a research method for innovation studies. We use web mining to explore the R&D activities of 296 UK-based green goods small and mid-size enterprises.