• Title/Summary/Keyword: statistical assessment

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Exploring Factors Affecting on the Pharmaceutical Distribution Industry: the Case of Kazakhstan

  • KIREYEVA, Anel A.;ABILKAYIR, Nazerke A.;ORYNBET, Perizat Zh.;SATYBALDIN, Azimkhan A.;SATPAYEVA, Zaira T.
    • Journal of Distribution Science
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    • v.19 no.8
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    • pp.13-24
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    • 2021
  • Purpose: This research is aimed to explore factors affecting on Kazakhstan's pharmaceutical distribution industry, selection of various factors and assessment of the level of their influence. Based on the literature review it was defined that there is a great variety of scientific works relating to pharmaceutical distribution industry competitiveness and management improvement. Research design, data and methodology: There is very little research, which to determine the issues of pharmaceutical industry distribution in developing countries, in particular EAEU countries. The algorithm was chosen for research provision: statistical and comparative analysis, correlation, and regression analysis. The data of 1993-2020 obtained from the World Bank, Bureau of National Statistics, National Bank of Kazakhstan, which is expressed by 19 factors as macroeconomic indicators. Results: The chosen variables were selected non-randomly, these economic indicators had the most reliable, unique, and utmost for the whole research period complete information. Conclusions: There could be made adequate conclusions of the research, there is a strong positive relationship for six factors: population, GDP per capita, average annual US dollar exchange rate, the minimum pension, average assigned monthly pension, minimum wage. Pension and wage are the most significant factors affecting on the pharmaceutical distribution industry in Kazakhstan.

A reliability-based approach to investigate the challenges of using international building design codes in developing countries

  • Kakaie, Arman;Yazdani, Azad;Salimi, Mohammad-Rashid
    • Structural Engineering and Mechanics
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    • v.80 no.6
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    • pp.677-688
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    • 2021
  • The building design codes and standards in many countries usually are either fully or partially adopted from the international codes. However, regional conditions like the quality of construction industry and different statistical parameters of load and resistance have essential roles in the code calibration of building design codes. This paper presents a probabilistic approach to assess the reliability level of adopted national building codes by simulating design situations and considering all load combinations. The impact of the uncertainty of wind and earthquake loads, which are entirely regional condition dependent and have a high degree of uncertainty, are quantified. In this study, the design situation is modeled by generating thousands of numbers for load effect ratios, and the reliability level of steel elements for all load combinations and different load ratios is established and compared to the target reliability. This approach is applied to the Iranian structural steel code as a case study. The results indicate that the Iranian structural steel code lacks safety in some load combinations, such as gravity and earthquake load combinations, and is conservative for other load combinations. The present procedure can be applied to the assessment of the reliability level of other national codes.

Assessment of seismic damage inspection and empirical vulnerability probability matrices for masonry structure

  • Li, Si-Qi;Chen, Yong-Sheng;Liu, Hong-Bo;Du, Ke;Chi, Bo
    • Earthquakes and Structures
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    • v.22 no.4
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    • pp.387-399
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    • 2022
  • To study the seismic damage of masonry structures and understand the characteristics of the multi-intensity region, according to the Dujiang weir urbanization of China Wenchuan earthquake, the deterioration of 3991 masonry structures was summarized and statistically analysed. First, the seismic damage of multistory masonry structures in this area was investigated. The primary seismic damage of components was as follows: Damage of walls, openings, joints of longitudinal and transverse walls, windows (lower) walls, and tie columns. Many masonry structures with seismic designs were basically intact. Second, according to the main factors of construction, seismic intensity code levels survey, and influence on the seismic capacity, a vulnerability matrix calculation model was proposed to establish a vulnerability prediction matrix, and a comparative analysis was made based on the empirical seismic damage investigation matrix. The vulnerability prediction matrix was established using the proposed vulnerability matrix calculation model. The fitting relationship between the vulnerability prediction matrix and the actual seismic damage investigation matrix was compared and analysed. The relationship curves of the mean damage index for macrointensity and ground motion parameters were drawn through calculation and analysis, respectively. The numerical analysis was performed based on actual ground motion observation records, and fitting models of PGA, PGV, and MSDI were proposed.

Blind Quality Metric via Measurement of Contrast, Texture, and Colour in Night-Time Scenario

  • Xiao, Shuyan;Tao, Weige;Wang, Yu;Jiang, Ye;Qian, Minqian.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.11
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    • pp.4043-4064
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    • 2021
  • Night-time image quality evaluation is an urgent requirement in visual inspection. The lighting environment of night-time results in low brightness, low contrast, loss of detailed information, and colour dissonance of image, which remains a daunting task of delicately evaluating the image quality at night. A new blind quality assessment metric is presented for realistic night-time scenario through a comprehensive consideration of contrast, texture, and colour in this article. To be specific, image blocks' color-gray-difference (CGD) histogram that represents contrast features is computed at first. Next, texture features that are measured by the mean subtracted contrast normalized (MSCN)-weighted local binary pattern (LBP) histogram are calculated. Then statistical features in Lαβ colour space are detected. Finally, the quality prediction model is conducted by the support vector regression (SVR) based on extracted contrast, texture, and colour features. Experiments conducted on NNID, CCRIQ, LIVE-CH, and CID2013 databases indicate that the proposed metric is superior to the compared BIQA metrics.

A Study of Fatigue Analysis for the Turntable Fixing Bolts Subjected to Mixed Load (혼합하중을 받는 선회대 고정볼트의 피로분석에 관한 연구)

  • Choi, Dong-Hoon;Lee, Do-Nam;Kim, Jae-Hoon
    • Journal of the Korean Society of Safety
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    • v.37 no.5
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    • pp.1-6
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    • 2022
  • In this study, to confirm the effects of the mixed load of normal and shear forces acting on a fixing bolt, fatigue design criteria were developed by varying the loading angle and conducting tensile and fatigue tests. After evaluating and comparing the test results under different loading angles, the evaluation criteria were selected. These evaluation criteria were then applied to develop the design criteria. An Arcan fixture was designed and manufactured to simultaneously apply a mixed load of normal and shear forces to the fixing bolt of a turntable, and a fatigue test was conducted. S-N diagrams for various loading angles were obtained, and a 1% P-S-N diagram of failure probability was determined using statistical processing techniques. Our results show that failures of the fixing bolt can be prevented using these diagrams as a basis for developing fatigue design criteria.

Spatiotemporal Clusters and Trend of Trichomonas vaginalis Infection in Korea

  • Kim, Yeong Hoon;Ahn, Hye-Jin;Kim, Dongjae;Nam, Ho-Woo
    • Parasites, Hosts and Diseases
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    • v.60 no.2
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    • pp.97-107
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    • 2022
  • This study was done to provide an overview of the latest trichomoniasis status in Korea by finding disease clusters and analyzing temporal trends during 2012-2020. Data were obtained from the Health Insurance Review & Assessment Service (HIRA) of Korea. SaTScan and Joinpoint programs were used for statistical analyses. Gyeonggi-do had the highest average population and highest number of cases. The high incidence of T. vaginalis infections were observed among women aged 40-49 and 30-39 years (33,830/year and 33,179/year, respectively). Similarly, the 40-49 and 30-39 age group in men showed the highest average cases (1,319/year and 1,282/year, respectively). Jeollabuk-do was the most likely cluster, followed by Busan/Gyeongsangnam-do/Ulsan/Daegu and Jeju-do and Gwangju. Urban and rural differences were prominent. Trichomoniasis has decreased significantly in most clusters, except for Incheon. Trichomoniasis was decreasing in women recently after peaking around 2014. Men showed different trends according to age. Trichomoniasis was increasing in the 10-39 age groups, but decreasing in the 40-59 age groups. This study might provide an analytic basis for future health measures, policy-makers, and health authorities in developing effective system for prevention of trichomoniasis.

Design and implementation of a SHM system for a heritage timber building

  • Yang, Qingshan;Wang, Juan;Kim, Sunjoong;Chen, Huihui;Spencer, Billie F. Jr.
    • Smart Structures and Systems
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    • v.29 no.4
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    • pp.561-576
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    • 2022
  • Heritage timber structures represent the history and culture of a nation. These structures have been inherited from previous generations; however, they inevitably exhibit deterioration over time, potentially leading to structural deficiencies. Structural Health Monitoring (SHM) offers the potential to assess operational anomalies, deterioration, and damage through processing and analysis of data collected from transducers and sensors mounted on the structure. This paper reports on the design and implementation of a long-term SHM system on the Feiyun Wooden Pavilion in China, a three-story timber building built more than 500 years ago. The principles and features of the design and implementation of SHM systems for heritage timber buildings are systematically discussed. In total, 104 sensors of 6 different types are deployed on the structure to monitor the environmental effects and structural responses, including air temperature and humidity, wind speed and direction, structural temperatures, strain, inclination, and acceleration. In addition, integrated data acquisition and transmission subsystem using a newly developed software platform are implemented. Selected preliminary statistical and correlation analysis using one year of monitoring data are presented to demonstrate the condition assessment capability of the system based on the monitoring data.

Analysis of Educational Services Distribution: The Case of Kazakhstan

  • KIREYEVA, Anel A.;SABDENALIYEV, Bakhtiyar;DOSZHAN, Raigul;KREDINA, Anna A.;YERMEKBAYEVA, Dinara
    • Journal of Distribution Science
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    • v.20 no.11
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    • pp.19-31
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    • 2022
  • Purpose: This research aims to analyze the educational potential and students' satisfaction with the quality of education services distribution in Kazakhstani universities. The conceptual review shows that very few studies on regional development have been able to determine the level of satisfaction with the quality of educational services depending on the university's location. Research design, data, and methodology: The research methodology is divided into two approaches descriptive analysis and qualitative data analysis. The current educational situation and the distribution of educational services in the largest Kazakh universities were studied based on the proposed approaches' use. Statistical data are taken for indicators of educational potential for 2010-2020 from the Bureau of National Statistics. The primary data were collected based on a survey for 2021-2022 in five regions of Kazakhstan. Results: The results showed that there is a gender gap between men and women and regional disparities between the regions of Kazakhstan in the coverage of higher education. The results of the sociological survey revealed that the quality of educational services depends on the territorial location of the university. Conclusions: Based on the results of the assessment of educational potential and educational services, policy recommendations and further research in this area were proposed.

Interaction between Water Quality and Substrate on Benthic Macroinvertebrates Index (BMI) (수질 및 하상기질이 저서동물지수(BMI)에 미치는 상호작용)

  • Hyoju Lee;Dongsoo Kong
    • Journal of Korean Society on Water Environment
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    • v.39 no.4
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    • pp.261-268
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    • 2023
  • The benthic macroinvertebrates index (BMI) was developed based on the 5-day biochemical oxygen demand (BOD5), which is the amount of biodegradable organic matter in stream water. However, benthic macroinvertebrates mainly live in the streambed substrate and are affected by the interaction of water quality and substrate. This study was conducted to examine the interactive relationship between water quality items (BOD5, total phosphorus (TP), total suspended solids (TSS)) and substrate with BMI by performing statistical analyses (four-way analysis of variance, Pearson's correlation analysis, partial correlation analysis and multiple regression analysis). The data used in the analyses were collected from 19,915 sampling units at 1,937 sites in South Korea from 2010 to 2020. The interaction effect between BOD5 and substrate types was confirmed through a four-way analysis of variance. Partial correlation analysis and multiple regression analysis estimated the degree of influence on the change in BMI value in the order of mean grain size of the substrate as (𝜱m) > BOD5 > TP > TSS. BMI can be regarded as an index that evaluates the comprehensive effects of water quality and streambed status, although it is an index that was developed based on the amount of biodegradable organic matter in a water column.

Autonomic, Respiratory and Subjective Effects of Long-term Exposure to Aversive Loud Noise : Tonic Effects in Accumulated Stress Model

  • Sohn, Jin-Hun;Sokhadze, Estate;Choi, Sang-Sup;Lee, Kyung-Hwa
    • Science of Emotion and Sensibility
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    • v.2 no.2
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    • pp.37-42
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    • 1999
  • Long-term exposure to loud noise affects performance since it changes arousal level, distracts attention, and also is able to evoke subjective stress accompanied by negative emotional states. The purpose of the study was to analyze dynamics of subjective and physiological variables during a relatively long-lasting (30 min) exposure to white noise (85 dB[A]). Physiological signals were recorded on 15 college students during 30 min of intense auditory stimulation. Autonomic variables, namely skin conductance level , non-specific SCR number, inter-best intervals in ECG, heart rate variability index (HF/LF ratio of HRV), skin temperature, as well as respiration rate were analyzed on 5 min epoch basis. Psychological assessment (subjective rating of stress level) was also repeated every 5 min. Statistical analysis was employed to trace the time course of the dynamics of subjective and autonomic physiological variables and their relationships. Results showed that the intense noise evoked subjective stress as well as associated autonomic nervous system responses. However it was shown that physiological variables endured specific changes in the process of exposure to the loud white noise. Discussed were probable psychophysiological mechanisms mediating reactivity to long-term auditory stimulation of high intensity, namely short-term activation, followed by transient adaptation (with relatively stable autonomic balance) and then a subsequent wave of arousal due to tonic sympathetic dominance.

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