Global Trends, State-Specific Factors and Regime Transitions, 1825-1993

The pharmaceutical market is a socially significant production, and therefore subject to strict control by the public authorities of all countries. At the same time, the pharmaceutical market is one of the most promising areas for investors, as one of the most profitable today. All these factors lead to close attention to the drug industry by both economists, pharmacists, and doctors. The domestic pharmaceutical market experienced some difficulties before the spread of the pandemic, which has been aggravated to date. In this regard, it is necessary to analyze the trend of the pharmaceutical market of Russia today, to identify the factors that have the greatest impact on its development. The main factors that are characteristic of other industries are: the high level of production costs, the difficulty of attracting investors on a long-term basis, and high global competition. Specific factors include: the poor quality of finished dosage forms and pharmaceutical substances, an outdated product range and the predominance of generic drugs, a small amount of branded products. The presented article presents an analysis of the latest trends in the domestic pharmaceutical market, highlights global, global trends that have an impact on it.

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A Universal Model for Prediction of COVID-19 Pandemic Based on Machine Learning

10.21203/rs.3.rs-31164/v1 ◽

2020 ◽

Cited By ~ 1

Author(s):

Lu Wang ◽

De-wei Han ◽

Kang Li ◽

Xu Yang ◽

Xiao-lei Yin ◽

...

Keyword(s):

Gradient Descent ◽

Gaussian Function ◽

Gaussian Model ◽

Real Data ◽

Chi Square ◽

Global Trends ◽

Rate Of Spread ◽

Gradient Descent Algorithm ◽

Specific Factors ◽

Country Specific

Abstract Background: With the current worldwide spreading of the coronary virus (COVID-19) pandemic, accurately predicting the rate of spread of the virus has become an urgent need. Methods: In this article we propose a universal COVID-19 prediction model that is independent of country-specific factors in this paper. By analyzing the pandemic data in China, we combined the advantages of Gaussian function with that of chi-square distribution function, to render an innovative mathematical model named the H-Gaussian with five parameters to be learned, and solved the parameters by a gradient descent algorithm. Results: We trained the model with partial historical pandemic data to predict subsequent pandemic trends in several regions, and validated the predictions with real data. The H-Gaussian model was experimentally shown to correctly predict the pandemic trends, and the parameters had good interpretability. Conclusions: On this basis, the global trends of the pandemic are given based on the data currently available, as well as suggestions for subsequent prevention strategies.

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Adipokines as key players in β cell function and failure

Clinical Science ◽

10.1042/cs20190523 ◽

2019 ◽

Vol 133 (22) ◽

pp. 2317-2327 ◽

Cited By ~ 3

Author(s):

Nicolás Gómez-Banoy ◽

James C. Lo

Keyword(s):

Metabolic Diseases ◽

Cell Function ◽

Whole Body ◽

Pancreatic Β Cell ◽

Β Cell ◽

Cell Axis ◽

Β Cell Function ◽

Prevalence Of Obesity ◽

Specific Factors ◽

Whole Body Metabolism

Abstract The growing prevalence of obesity and its related metabolic diseases, mainly Type 2 diabetes (T2D), has increased the interest in adipose tissue (AT) and its role as a principal metabolic orchestrator. Two decades of research have now shown that ATs act as an endocrine organ, secreting soluble factors termed adipocytokines or adipokines. These adipokines play crucial roles in whole-body metabolism with different mechanisms of action largely dependent on the tissue or cell type they are acting on. The pancreatic β cell, a key regulator of glucose metabolism due to its ability to produce and secrete insulin, has been identified as a target for several adipokines. This review will focus on how adipokines affect pancreatic β cell function and their impact on pancreatic β cell survival in disease contexts such as diabetes. Initially, the “classic” adipokines will be discussed, followed by novel secreted adipocyte-specific factors that show therapeutic promise in regulating the adipose–pancreatic β cell axis.

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Job Validation Studies and Physical Agility Testing: Is the Vendor Telling You What They Think You Want or Are You Telling Them What You Need?

Guides Newsletter ◽

10.1001/amaguidesnewsletters.2016.novdec02 ◽

2016 ◽

Vol 21 (6) ◽

pp. 5-11

Author(s):

E. Randolph Soo Hoo ◽

Stephen L. Demeter

Keyword(s):

Equal Employment Opportunity Commission ◽

Job Analysis ◽

Specific Work ◽

Test Protocol ◽

Systematic Method ◽

Technical Standards ◽

Work Related ◽

Physical Abilities ◽

Specific Factors ◽

Key Terms

Abstract Referring agents may ask independent medical evaluators if the examinee can return to work in either a normal or a restricted capacity; similarly, employers may ask external parties to conduct this type of assessment before a hire or after an injury. Functional capacity evaluations (FCEs) are used to measure agility and strength, but they have limitations and use technical jargon or concepts that can be confusing. This article clarifies key terms and concepts related to FCEs. The basic approach to a job analysis is to collect information about the job using a variety of methods, analyze the data, and summarize the data to determine specific factors required for the job. No single, optimal job analysis or validation method is applicable to every work situation or company, but the Equal Employment Opportunity Commission offers technical standards for each type of validity study. FCEs are a systematic method of measuring an individual's ability to perform various activities, and results are matched to descriptions of specific work-related tasks. Results of physical abilities/agilities tests are reported as “matching” or “not matching” job demands or “pass” or “fail” meeting job criteria. Individuals who fail an employment physical agility test often challenge the results on the basis that the test was poorly conducted, that the test protocol was not reflective of the job, or that levels for successful completion were inappropriate.

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Mobilizing for Some

Journal of Media Psychology Theories Methods and Applications ◽

10.1027/1864-1105/a000199 ◽

2016 ◽

Vol 28 (3) ◽

pp. 123-135 ◽

Cited By ~ 7

Author(s):

Raffael Heiss ◽

Jörg Matthes

Keyword(s):

High School ◽

Social Media ◽

High School Students ◽

Experimental Design ◽

Collective Efficacy ◽

Political Efficacy ◽

Negative Effects ◽

School Students ◽

Positive Effects ◽

Specific Factors

Abstract. This study investigated the effects of politicians’ nonparticipatory and participatory Facebook posts on young people’s political efficacy – a key determinant of political participation. We employed an experimental design, using a sample of N = 125 high school students (15–20 years). Participants either saw a Facebook profile with no posts (control condition), nonparticipatory posts, or participatory posts. While nonparticipatory posts did not affect participants’ political efficacy, participatory posts exerted distinct effects. For those high in trait evaluations of the politician presented in the stimulus material or low in political cynicism, we found significant positive effects on external and collective efficacy. By contrast, for those low in trait evaluations or high in cynicism, we found significant negative effects on external and collective efficacy. We did not find any effects on internal efficacy. The importance of content-specific factors and individual predispositions in assessing the influence of social media use on participation is discussed.

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