The effects of daily growth in COVID-19 deaths, cases, and governments' response policies on stock markets of emerging economies.

Since the beginning of COVID-19, human beings have been threatened by various aspects. As of February 14, 2022, this global pandemic has caused about 412 million cases and 5.8 million deaths worldwide.

Impact of Weather Parameters and Population Density on the COVID-19 Transmission: Evidence from 81 Provinces of Turkey.

Weather factors are effective to transmission of various diseases. Middle East Respiratory Syndrome (MERS), Severe Acute Respiratory Syndrome (SARS), and kinds of influenza can be given as example these diseases. The novel corona virus which is called COVID-19 is the most dangerous problem all around the world in these days.

Do agriculture activities matter for environmental Kuznets curve in the Next Eleven countries?

While the agricultural sector contributes the economic growth, it also induces GHGs and causes environmental degradation. The effect of agriculture activities on environmental degradation receives attention last several years in environmental Kuznets curve (EKC) literature. The aim of this paper is to investigate the effect of agriculture activities (AGRI), energy consumption (EC), foreign direct investment (FDI), and trade openness (TO) on CO in the context of EKC hypothesis for the Next Eleven countries in the period of 1991-2019.

Factors affecting mortality among victims of electrical burns.

Background: The aim of this study was to determine the factors affecting mortality rate among patients with an electrical burn.

Methods: A total of 115 patients admitted to the emergency department and hospitalized in the Burn Treatment Center or Intensive Care Unit (ICU) due to the electrical burn, were included in the study.

Results: A total of 115 patients (4 female and 111 male) with a mean age of 32.

General characteristics of paint thinner burns: Single center experience.

Background: The aim of the present study was to present characteristic features and risk factors of paint thinner burns in order to raise awareness and help prevent these injuries.

Methods: Records of patients admitted to the burn unit due to paint thinner burns were retrospectively reviewed, and patients with comprehensive data available were included in the study. Total of 48 patients (3 female and 45 male) with mean age of 27.

Bone Mineral Density After Burn Injury and Its Relation to the Characteristics of Scar Tissue.

Burn injuries are associated with the negative effects on the musculoskeletal system and are important causes of severe disabilities. The aim of this study was to evaluate bone mineral density (BMD), bone turnover markers, and 25(OH) vitamin D levels in male patients with sustained at least 1 year postburns involving more than 30% of the TBSA in comparison to a control group and evaluate the relation between the characteristics of scar tissue and BMD and 25(OH) vitamin D levels. The study included 25 male patients who previously sustained burn injuries involving more than 30% of the TBSA and 20 healthy subjects as the control group.

Discretization error analysis and adaptive meshing algorithms for fluorescence diffuse optical tomography: part I.

For imaging problems in which numerical solutions need to be computed for both the inverse and the underlying forward problems, discretization can be a major factor that determines the accuracy of imaging. In this work, we analyze the effect of discretization on the accuracy of fluorescence diffuse optical tomography. We model the forward problem by a pair of diffusion equations at the excitation and emission wavelengths and consider a finite element discretization method for the numerical solution of the forward problem.

Discretization error analysis and adaptive meshing algorithms for fluorescence diffuse optical tomography: part II.

In the first part of this work, we analyze the effect of discretization on the accuracy of fluorescence diffuse optical tomography (FDOT). Our error analysis provides two new error estimates which present a direct relationship between the error in the reconstructed fluorophore concentration and the discretization of the forward and inverse problems. In this paper, based on these error estimates, we develop two new adaptive mesh generation algorithms for the numerical solutions of the forward and inverse problems in FDOT, with the objective of error reduction in the reconstructed optical images due to discretization while keeping the size of the discretized forward and inverse problems within the allowable limits.

Diffuse optical tomography with a priori anatomical information.

Diffuse optical tomography (DOT) poses a typical ill-posed inverse problem with a limited number of measurements and inherently low spatial resolution. In this paper, we propose a hierarchical Bayesian approach to improve spatial resolution and quantitative accuracy by using a priori information provided by a secondary high resolution anatomical imaging modality, such as magnetic resonance (MR) or x-ray. In such a dual imaging approach, while the correlation between optical and anatomical images may be high, it is not perfect.

Diffuse optical tomography with physiological and spatial a priori constraints.

Diffuse optical tomography is a typical inverse problem plagued by ill-condition. To overcome this drawback, regularization or constraining techniques are incorporated in the inverse formulation. In this work, we investigate the enhancement in recovering functional parameters by using physiological and spatial a priori constraints.