"Dilemma in Medical Regulation Policy: Focusing on Expert Survey of Drug and Mecal Device"

2019 ◽  
Vol 12 (4) ◽  
pp. 201-238
Author(s):  
Youhyun Lee ◽  
Il-young Jung
Keyword(s):  
Expert Survey ◽  
Medical Regulation ◽  
Regulation Policy

The interaction of higher education system with the labor market: A study of the labor market in the regions of the Volga Federal District

2020 ◽  
Vol 26 (2) ◽  
pp. 456-480
Author(s):  
R.B. Galeeva
Keyword(s):  
Higher Education ◽  
Labor Market ◽  
Education System ◽  
Federal District ◽  
Highly Qualified ◽  
Expert Survey ◽  
Higher Education System ◽  
Qualified Personnel ◽  
The Republic ◽  
The One

Subject .This article discusses the need to bring into line with the future activities of specialists the content of their preparation, the formation of a system model of higher education, which takes into account today's and prospective requirements of the labor market. Objectives. The article aims to research the labor market in four regions of the Volga Federal District of the Russian Federation: the Republic of Tatarstan, Mari El Republic, Chuvash Republic, and the Ulyanovsk oblast, as well as discuss problems and prospects of interaction of universities with enterprises and organizations of these regions. Methods. For the study, I used the methods of logical and statistical analyses, and in-depth expert survey. Results. The article analyzes the state of regional labor markets, presents the results of the expert survey of labor market representatives and heads of the regional education system, and it defines possible ways of harmonizing the interaction of universities with the labor market. Conclusions. The article notes that although the number of employed with higher education is growing, at the same time there is a shortage of highly qualified personnel in certain professions, on the one hand, and unskilled workers, on the other. Also, the article says that the universities do not prepare the necessary for the regions specialists in a number of professions or they provide a set of competencies different from the requirements of the labor market, so it is necessary to form and develop effective directions of cooperation between educational institutions and employers.

Expert survey and analysis of the results

2019 ◽  
Vol 85 (7) ◽  
pp. 73-82
Author(s):  
Vladimir O. Tolcheev
Keyword(s):  
Data Analysis ◽  
Research University ◽  
Statistical Processing ◽  
Educational Process ◽  
Expert Survey ◽  
Educational Modules ◽  
Training Modules ◽  
Engineering Institute ◽  
Good Agreement ◽  
Statistical Criteria

The issues of organizing an expert survey and carrying out statistical processing and analysis of the results are considered. The experts are the fifth-year students undergoing training at the Department of Management and Informatics «Moscow Power Engineering Institute» of the National Research University. The goal of the survey is revealing the disciplines that are most useful for employment in their specialty. We discuss the special features of the survey and a concept of «work in the specialty», with due regard for statistical reliability of the results. Data of written questionnaire gained in 2018 were processed and analyzed using cluster analysis (construction of dendrograms and application of the K-means method) and non-parametric statistical criteria (Friedman and Mann – Whitney – Wilcoxon). Data processing is implemented in the program STATISTICA. The analysis is carried out to reveal significant differences between the educational courses and assess the degree of consistency of the respondents to divide them into clusters that unite the students with similar judgments. Data analysis revealed that experts’ estimates in 2018 are in fairly good agreement with the estimates of previous studies; among the respondents there are three coalitions corresponding to the training modules «Software», «Management Theory», «Data Analysis»; the overall consistency of students in the two groups is very low (and, on the contrary, high in the identified clusters); grades are homogeneous and do not depend on training groups (and employment – unemployment of the respondents). The obtained results allow us to address a number of important questions regarding the ways of improving the educational process, e.g., to optimize yearly course hours for different educational modules.

scholarly journals COVID-19 and transport: Findings from a world-wide expert survey

2021 ◽  
Vol 103 ◽  
pp. 68-85 ◽  
Author(s):  
Junyi Zhang ◽  
Yoshitsugu Hayashi ◽  
Lawrence D. Frank
Keyword(s):  
World Wide ◽  
Expert Survey

scholarly journals Parties’ Preferences for Office and Policy Goals

Games ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 6
Author(s):  
Anna Bassi
Keyword(s):  
Rational Choice ◽  
Choice Models ◽  
Comprehensive Analysis ◽  
Government Formation ◽  
Expert Survey ◽  
Policy Goals ◽  
Preference Ratings ◽  
The Government ◽  
Party Behavior ◽  
Survey Protocol

Although parties’ preferences for office and policy goals have been featured by many rational choice models of party behavior and a majority of coalition theories, the literature still lacks a measure and a comprehensive analysis of how parties’ preferences vary among parties and across countries. This study aims to fill this gap by presenting the results of an original expert survey protocol, which finds that parties pursue both goals simultaneously as office is sought both as and an end and as a means to affect policy, and that the degree to which they prefer policy versus office objectives varies across parties and countries. I provide an application of the preference ratings for policy versus office in the context of government formation, by using the ratings to solve for and predict the equilibrium coalition that should have formed in Spain after the 2015 elections. The government predicted by the model matches the government that formed, providing evidence of the ability of the preference ratings to generate reliable predictions of the composition of government coalitions.

scholarly journals Optimizing the Performance of Pure ALOHA for LoRa-Based ESL

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5060
Author(s):  
Malak Abid Ali Khan ◽  
Hongbin Ma ◽  
Syed Muhammad Aamir ◽  
Ying Jin
Keyword(s):  
Radio Frequency Identification ◽  
Learning Algorithm ◽  
Near Field ◽  
Scientific Development ◽  
Maximum Efficiency ◽  
Received Signal Strength Indicator ◽  
Successful Transmission ◽  
Medical Regulation ◽  
Frequency Identification ◽  
Exact Position

(1) Background: The scientific development in the field of industrialization demands the automization of electronic shelf labels (ESLs). COVID-19 has limited the manpower responsible for the frequent updating of the ESL system. The current ESL uses QR (quick response) codes, NFC (near-field communication), and RFID (radio-frequency identification). These technologies have a short range or need more manpower. LoRa is one of the prominent contenders in this category as it provides long-range connectivity with less energy harvesting and location tracking. It uses many gateways (GWs) to transmit the same data packet to a node, which causes collision at the receiver side. The restriction of the duty cycle (DC) and dependency of acknowledgment makes it unsuitable for use by the common person. The maximum efficiency of pure ALOHA is 18.4%, while that of slotted ALOHA is 36.8%, which makes LoRa unsuitable for industrial use. It can be used for applications that need a low data rate, i.e., up to approximately 27 Kbps. The ALOHA mechanism can cause inefficiency by not eliminating fast saturation even with the increasing number of gateways. The increasing number of gateways can only improve the global performance for generating packets with Poisson law having a uniform distribution of payload of 1~51 bytes. The maximum expected channel capacity usage is similar to the pure ALOHA throughput. (2) Methods: In this paper, the improved ALOHA mechanism is used, which is based on the orthogonal combination of spreading factor (SF) and bandwidth (BW), to maximize the throughput of LoRa for ESL. The varying distances (D) of the end nodes (ENs) are arranged based on the K-means machine learning algorithm (MLA) using the parameter selection principle of ISM (industrial, scientific and medical) regulation with a 1% DC for transmission to minimize the saturation. (3) Results: The performance of the improved ALOHA degraded with the increasing number of SFs and as well ENs. However, after using K-mapping, the network changes and the different number of gateways had a greater impact on the probability of successful transmission. The saturation decreased from 57% to 1~2% by using MLA. The RSSI (Received Signal Strength Indicator) plays a key role in determining the exact position of the ENs, which helps to improve the possibility of successful transmission and synchronization at higher BW (250 kHz). In addition, a high BW has lower energy consumption than a low BW at the same DC with a double-bit rate and almost half the ToA (time on-air).

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