A comparative study of design for testability methods using high-level and gate-level descriptions

Author(s):  
Chickermane ◽  
Lee ◽  
Patel
Author(s):  
Imam Muzakky ◽  
Dwi Umi Novitasari ◽  
Siti Hamidah

Indonesia as a country that offers a wide range of diversity offers its own uniqueness. But unfortunately the diversity it also has the potential for conflict ( Rahardjo , 2010) . Not only the conflict between cultures and groups, as happened in intercollegiate martial arts such as pagarnusa, PSHT and Kerasakti. Objective The purpose of this study to determine the level of aggressiveness, collective pride and tolerance in three martial arts college , this is one of the factors of conflict is high aggressiveness, collective pride and a low level of tolerance. Methodology/Technique The study involved 30 members pagarnusa , 30 members and 30 members kerasakti PSHT . Research methods with quantitative approach. Findings – The findings of this study are a group of college kerasakti have the highest tolerance, low aggression and collective pride being. PSHT has a high level of aggressiveness being and collective tolerance pride being, while the pagarnusa Group aggressiveness levels that are low tolerance level and collective pride high. Findings The findings of this study are a group of college kerasakti have the highest tolerance, low aggression and collective pride being. PSHT has a high level of aggressiveness being and collective tolerance pride being, while the pagarnusa Group aggressiveness levels that are low tolerance level and collective pride high. Type of Paper Empirical paper Keywords: Martial Arts, Aggressiveness, Tolerance , Collective Pride


Tuberculosis ◽  
2016 ◽  
Vol 100 ◽  
pp. 15-24 ◽  
Author(s):  
Florence Brossier ◽  
Marlène Boudinet ◽  
Vincent Jarlier ◽  
Stéphanie Petrella ◽  
Wladimir Sougakoff

2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Yomna Ben Jmaa ◽  
Rabie Ben Atitallah ◽  
David Duvivier ◽  
Maher Ben Jemaa

2018 ◽  
Vol 7 (2.32) ◽  
pp. 452
Author(s):  
Anjali Mathur ◽  
K Vinitha ◽  
R Shubham ◽  
K Gowtham

A bank merger is a situation in which two banks or all branches of a bank join together to become one bank. The bank merger of State Bank of India was implemented on 1stApril 2017 in India. The bank merger is a good idea to centralize the customer’s data from nationwide. However, it is a difficult task for administrators and technologists. Some high level techniques are required to collect the data from the branches, of the bank present at nationwide, and merge them accordingly. For this huge data Big-Data Analysis techniques can be used to manage and access the data. The big data analytics provides algorithms to compare, classify and cluster the data at local and global level. This research paper proposes big data analytics for education loan provided by State Bank of India. The loan granting process becomes centralized after merger. It affects the processing of granting a loan, as earlier it was according to branches only. The proposed work is for comparative study of the impact of bank merger on education loan provided by State Bank of India.  


2020 ◽  
Author(s):  
Chengsen Cui ◽  
Xu Zuo ◽  
Yujia Wang ◽  
Haiyan Song ◽  
Jingyu Shi ◽  
...  

Abstract Background: In order to promote integration of medical resources, Beijing built medical alliances since 2012, but this reform did not change the state of disordered medical treatment. Patients are still willing to go to high-level hospitals for medical treatment. What causes patients to prefer high-level hospitals? In order to explore the reasons for the high-level medical treatment behavior of patients and guide patients to visits orderly, we conducted the study and compared the patients' satisfaction in different level hospitals under the background of the medical resource integration. Methods: This study conducted a questionnaire survey among 1,250 patients who were selected in 18 medical alliances in Beijing from October to December 2016. The study type is a comparative study based on cross-sectional data. The patients’ satisfaction was the main outcome, descriptive analysis, a chi-square test, a nonparametric test and binary logistic regression analysis were used. The level of statistical significance was set at p<0.05. Results: The overall satisfaction score of the medical alliances is 3.375, and the satisfaction score of core hospitals and cooperative hospitals is 2.77 and 3.07. The overall patient satisfaction rate is 44.62%, and the satisfaction rate of core hospitals and cooperative hospitals is 34.34% and 50.43%. The type of hospital and understanding of medical alliance policy are the associated factors of the patients’ satisfaction with the medical alliance. Conclusions: The patients’ satisfaction of cooperative hospitals was higher than that of core hospitals. Although the patients are more satisfied with the service attitude of the cooperative hospitals, they still prefer core hospitals due to their higher expectation for medical treatment and greater trust in the medical technology of the core hospitals. It is necessary to explore the establishment of the closed medical alliances under the unified management of human and financial resources, to promote medical alliances to become a community of common interests and provide integrated medical services for patients.


2018 ◽  
Vol 24 (2) ◽  
pp. 141-146
Author(s):  
C.U Okoro ◽  
Mathias Ajaba

This study is aimed at extracting lipase enzyme from three lactic acid bacteria and some fungi for a comparative study of their lipase activities. Lipase enzyme is useful in the degradation and detoxification of “bad”cholesterol in food and raw materials. In this study the submerged fermentation method was applied in the extraction of lipase from Lactobacillusplantarum, Lactobacilluscasei and Lactobacillus fermentumand the fungal isolates. Their corresponding lipase activity values were 1.2μmol/min/ml (Lactobacillusplantarum), 0.7μmol/min/ml(Lactobacilluscasei) and 1.9 μmol/min/ml (Lactobacillus fermentum). The fungi isolate namely G4 (Penicillium spp.), G5 (Rhizopus spp.), M3 (Aspergillus niger), M4 (Fusarium oxysporium) and M8 (Fusarium moniliforme), had the following corresponding lipase activity values: G4 (11.25 μmol/min/ml), G5 (2.92 μmol/min/ml), M3 (3.75 μmol/min/ml), M4 (2.92 μmol/min/ml) and M8 (6.25 μmol/min/ml). The result of the study indicates that microbial enzymes from fungi had better potentials as best sources of lipase degrading enzymes. The high level of lipase activity from fungi could be attributed to the fact that most fungi are spore formers and the multiplicity of spores could enhance increased lipase production. It is therefore recommended that researchers should source lipase enzymes both for environmental bioremediation and degradation of unhealthy fats in foodstuff from fungi species.Keywords: Lipase, fungi, Lactobacillus, degradation, fermentation 


2020 ◽  
Vol 12 (7) ◽  
pp. 2875 ◽  
Author(s):  
Jiaying Shi ◽  
Tsuyoshi Honjo ◽  
Kaixuan Zhang ◽  
Katsunori Furuya

In recent years, research on landscape perception has been generally overoptimistic about the use of virtual reality (VR); however, few have questioned the validity of VR. It is necessary to examine whether on-site stimulation can be substituted by VR. The purpose of this study was to assess the degree of agreement between on-site survey and VR for landscape perception. The sample included 11 representative landscapes from Tsuchiura city and Tsukuba city, Japan. On-site survey data was collected for 17 items related to aesthetic preference and landscape cognition. The same scenes were produced by VR and same survey data as on-site was collected. The agreement of both the overall mean of all landscapes and the ratings of all individuals in each landscape confirmed the high level of concordance of most cognitive attributes between the two stimuli. The findings support immersive VR as a reliable tool for assessing landscape cognition.


2019 ◽  
Vol 28 (1) ◽  
pp. 58-70 ◽  
Author(s):  
Concepción Crespo-Turrado ◽  
José Luis Casteleiro-Roca ◽  
Fernando Sánchez-Lasheras ◽  
José Antonio López-Vázquez ◽  
Francisco Javier De Cos Juez ◽  
...  

Abstract Student performance and its evaluation remain a serious challenge for education systems. Frequently, the recording and processing of students’ scores in a specific curriculum have several flaws for various reasons. In this context, the absence of data from some of the student scores undermines the efficiency of any future analysis carried out in order to reach conclusions. When this is the case, missing data imputation algorithms are needed. These algorithms are capable of substituting, with a high level of accuracy, the missing data for predicted values. This research presents the hybridization of an algorithm previously proposed by the authors called adaptive assignation algorithm (AAA), with a well-known technique called multivariate imputation by chained equations (MICE). The results show how the suggested methodology outperforms both algorithms.


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