Study of the Efficiency of a Commercial Medical Organization Based on the Analysis of Economic Indicators

Nowadays modern medical commercial organizations in Russia carry out a paid reception of the residents for the provision of paid medical services. The demand for such services has increased significantly today due to the heavy workload of state medical institutions. However, today consumers choose the most high-quality services in the medical field, so the economic activity of medical commercial companies directly depends on the extent where specialists can provide patients with an individual approach and high-quality treatment. The purpose of the work is to study the efficiency of a commercial organization based on the analysis of its financial documentation. The author comes to the conclusion that the medical organization "Medicon+" LLC has significantly improved its financial performance during the analyzed period. This indicates that the level of services provided, as well as their demand by the citizens, is constantly growing. The increase in the number of patient visits to specialists of the analyzed clinic is also caused by the increase in the incidence of the population due to the pandemic and the decrease in the capacity of public medical institutions in this regard. However, according to the analysis, it should be concluded that in the future, taking into account the quality of services provided and recognition, the clinic of LLC "Medicon+" will be able to function effectively even after the stabilization of the epidemiological situation in the country and in the world

Diagnosis and Identification of Zoonotic Diseases Associated with Cattle at Abattoirs: Current Trends and Future Prospectus

Zoonoses are illnesses and infections that spread spontaneously from animals to people. They account for over 70% of recently developing infectious illnesses. Meat from cattle is one of the main sources of red meat and essential element of human diet. Meat inspection (MI) is an important aspect to ensure the safety during handling and consuming of meat and meat by-products. Abattoir or modern slaughterhouse is the place where infections are acquired by the workers or veterinary professional as zoonoses. Bacterial zoonotic diseases such as erysipelothricosis, brucella, listeria, and anthrax and viral zoonotic diseases like cow pox, foot and mouth disease, and rift valley fever are causing great economic losses and are important in terms of zoonoses. These zoonotic diseases are mostly diagnosed at abattoir levels using conventional approaches; however, diagnosis and identification of these diseases using latest methods is an important aspect for ensuring meat safety and hygiene. This chapter will discuss the current trends and future prospects about diagnosis and identification of these zoonotic diseases

Bi-allelic ACBD6 variants lead to a neurodevelopmental syndrome with progressive and complex movement disorders

The acyl-CoA-binding domain-containing protein 6 (ACBD6) is ubiquitously expressed, plays a role in the acylation of lipids and proteins, and regulates the N-myristoylation of proteins via N-myristoyltransferase enzymes (NMTs). However, its precise function in cells is still unclear, as is the consequence of ACBD6 defects on human pathophysiology. Utilizing exome sequencing and extensive international data sharing efforts, we identified 45 affected individuals from 28 unrelated families (consanguinity 93%) with bi-allelic pathogenic, predominantly loss-of-function (18/20) variants in ACBD6. We generated zebrafish and Xenopus tropicalis acbd6 knockouts by CRISPR/Cas9 and characterized the role of ACBD6 on protein N-myristoylation with YnMyr chemical proteomics in the model organisms and human cells, with the latter also being subjected further to ACBD6 peroxisomal localization studies. The affected individuals (23 males and 22 females), with ages ranging from 1 to 50 years old, typically present with a complex and progressive disease involving moderate-to-severe global developmental delay/intellectual disability (100%) with significant expressive language impairment (98%), movement disorders (97%), facial dysmorphism (95%), and mild cerebellar ataxia (85%) associated with gait impairment (94%), limb spasticity/hypertonia (76%), oculomotor (71%) and behavioural abnormalities (65%), overweight (59%), microcephaly (39%) and epilepsy (33%). The most conspicuous and common movement disorder was dystonia (94%), frequently leading to early-onset progressive postural deformities (97%), limb dystonia (55%), and cervical dystonia (31%). A jerky tremor in the upper limbs (63%), a mild head tremor (59%), parkinsonism/hypokinesia developing with advancing age (32%), and simple motor and vocal tics were among other frequent movement disorders. Midline brain malformations including corpus callosum abnormalities (70%), hypoplasia/agenesis of the anterior commissure (66%), short midbrain and small inferior cerebellar vermis (38% each), as well as hypertrophy of the clava (24%) were common neuroimaging findings. acbd6-deficient zebrafish and Xenopus models effectively recapitulated many clinical phenotypes reported in patients including movement disorders, progressive neuromotor impairment, seizures, microcephaly, craniofacial dysmorphism, and midbrain defects accompanied by developmental delay with increased mortality over time. Unlike ACBD5, ACBD6 did not show a peroxisomal localisation and ACBD6-deficiency was not associated with altered peroxisomal parameters in patient fibroblasts. Significant differences in YnMyr-labelling were observed for 68 co- and 18 post-translationally N-myristoylated proteins in patient-derived fibroblasts. N-Myristoylation was similarly affected in acbd6-deficient zebrafish and Xenopus tropicalis models, including Fus, Marcks, and Chchd-related proteins implicated in neurological diseases. The present study provides evidence that bi-allelic pathogenic variants in ACBD6 lead to a distinct neurodevelopmental syndrome accompanied by complex and progressive cognitive and movement disorders

Quantification of uncertainties in global temperatures using multi-resolution lattice kriging

Temperature measurements are subject to uncertainties. Temperature observations are sparsely available over the surface of the earth. The uncertainties in temperatures due to these gaps in spatial coverage is quanti fied using multi-resolution lattice kriging (MRLK). These uncertainties are combined with the existing estimates of the observational uncertainties. It results in a monthly temperature data product from 1850-2016. A new approximate Bayesian methodology is proposed for spatial data analysis. It relies on spatial dependence of the data using the variogram. This methodology is integrated with the multi-resolution lattice kriging (MRLK) model. It results in an approximate Bayesian inference for MRLK. The MRLK with the approximate Bayesian framework is used to generate another temperature data set. It samples the observational and coverage uncertainties in temperatures but also accounts for the model parametric uncertainties. The two sets of monthly temperature data products created in this thesis provide the uncertainties in temperatures at a regional scale. Therefore, a probabilistic El Niño Southern Oscillation (ENSO) index is invented that reflects the regional estimates of temperature uncertainties. This defi nition is applied to both versions of temperature data sets. During the pre-industrial period, fewer temperature measurements are available. Therefore, there is uncertainty in the pre-industrial baseline temperatures. Uncertainties in the pre-industrial baseline are integrated with the observational, coverage and parametric uncertainties. The results suggest that the uncertainties mainly dominate early temperature records. However, the uncertainty in temperatures due to the uncertain pre-industrial baseline stays same throughout the time series

The Power Burr Type X Distribution : Properties, Regression Modeling and Applications

In probability theory, researchers always prefer a model having simple structure with small estimation cost and higher adequacy for real life data applications. Therefore, in this study we have developed a simple power Burr X (PBX) distribution with an additional shape parameter. We have studied the shapes of the developed distribution with respect to subfamilies depends on the additional parameter. This study reveals some structural properties of this new model such as moments, stochastic ordering, quantile function and Rnyi entropy. We have also developed alocation-scale regression model for log power Burr X (LPBX) distribution to enhance its application in survival analysis. To observe the behavior of estimated parameters, we have conducted a Monte Carlo simulation study under maximum likelihood (ML) estimation and observed efficiencies by means of bias and mean square errors. Three life-time applications from different industries justified the adequacy, flexibility and potentiality of PBX distribution as compared to other higher parametric complex generalizations