Data Mining Techniques on Traffic Violations

This paper describes use of Data mining techniques used to model traffic accidents detection. It is done by determing the blackspots by using Association Rule Mining and Clusterization algorithm. It helps to ascertain the traffic violation patterns and blackspot of traffic violations. We looked into K-means clustering with some enhancements to aid in the process of identification of patterns and blackspots. We applied these techniques to real traffic data extracted from the Montgomery County of Maryland and validated our results. We also developed a prioritized scheme for attributes here to deal with the limitations of various out of the box clustering methods and ways. This easy to implement data mining framework works with the geo-spatial plot of blackspots and helps to improve the road accidents zones

Self Esteem between Assam Police Trainees and Sports persons - A Comparative Study

The aim of the study was to compare self esteem between Assam Police trainees and sports persons. The researchers selected total 50 (fifty) subject’s i.e. N1=25 Assam Police (AP) trainees from 2nd AP Battalion Camp, Makum, Tinsukia, Assam, India and N2=25 sports person from Dibrugarh University Post Graduate team participated different Inter-college level Tournament and between the 19-22 years age. The purposive sampling technique was used to select the subjects. To collect the data, the Rosenberg Self-Esteem Scale was used. To determine the differences between the groups the Independent t-test was applied and the level of significance was kept at 0.05confidence. The result showed that statistically there was significant difference between the groups (t0.05 (48) = 3.55 > 1.677)

Corporate governance reform and risk-taking:evidence from a quasi-natural experiment in an emerging market

Existing studies suggest that stricter Corporate Governance Reform (CGR) reduces corporate risk-taking, primarily due to higher compliance costs and expanded liabilities of insiders or managers. We revisit the relationship between CGR and risk-taking in an emerging market set-up characterized by weaker market forces of corporate scrutiny and greater insider ownership, which encourages firms to pursue investment conservatism. Using a quasi-natural experiment, we find that stricter CGR leads to greater corporate risk-taking. We further show that risk-taking is an important channel through which CGR enhances firm value. Our findings support the view that stricter CGR can have a positive effect on corporate risk-taking and corporate investment decisions in an evolving regulatory environment

Prevalence of thyroid hormone abnormalities in stage 5 chronic kidney disease: a tertiary care center study of Nepal

Background: Chronic kidney disease (CKD) implies progressive, long-standing and irreversible impairment in renal function that results in end stage renal disease (ESRD). ESRD is a frequent cause of Non-thyroidal illness (NTI) with low free triidothyronine (fT3), usually elevated reverse T3 (rT3), normal or low thyroid stimulating hormone (TSH), and if prolonged, low free thyroxine (fT4), despite patient remaining clinically euthyroid. Present study aimed to estimate the prevalence of thyroid hormone abnormalities in stage 5 CKD patients and also to compare these changes with healthy controls.Methods: The present cross-sectional observational study was conducted on thirty eight stage 5 CKD patients and 38 age-sexes matched healthy volunteers as control. The demographic data, medical history, etiology, physical examination and laboratory results were recorded on a special form developed by the researchers.Results: The mean age of male and female stage 5 CKD patients were 50.81±17.30. 44.73% of the stage 5 CKD patients had low fT3 whereas 28.94% had low fT4 values below the reference range. 5.26% patients had increased TSH values above the normal reference limit. The mean TSH values were not significantly differing among diseased and control groups. Among the risk factors for CKD, diabetic nephropathy (44.73%) was found to be the lead primary cause followed by chronic glomerulonephritis (26.31%) and hypertension (21.05%).Conclusions: From this study, it was concluded that the prevalence of thyroid hormone abnormalities especially low fT3 and fT4 is very common in stage 5 CKD patients. Diabetic nephropathy was among the lead cause of stage 5 CKD

Predictive Factors for Post-Operative Bleeding in Percutaneous Nephrolithotomy.

Introduction: Post-operative bleeding is a serious complication necessitating prompt attention inPercutaneous Nephrolithotomy (PCNL). A number of factors dictate the severity of post-PCNL bleeding.Identification of these risk factors helps prevent bleeding complications. Methods: In this observationalcross-sectional study, a total of 126 patients with renal stones >10mm or stag-horn stones underwent PCNL.All the relevant pre- and intra-operative factors were noted and analyzed. Hemoglobin differences betweenpre- and post-operative levels were considered for the evaluation of blood loss. Univariate and multivariablelogistic regression analysis was done. The strength of association was examined using Odds Ratio and95% confidence intervals derived from the logistic regression. A p value <0.05 was considered statisticallysignificant. Results: The mean age of the patients was 31.9 ±4.47 years. The mean drop in hemoglobinwas 1.83 ±0.98 gm/dl. Age, stone size, number of tracts, size of Amplatz sheath and number of stonessignificantly affected the blood loss in univariate analysis. Among the variables mentioned above only, thenumber of stones could maintain the significance in multivariable analysis (p<0.05). The number of stonesincrease the risk of bleeding post PCNL by 4.4 times. Conclusion: Stone size, number of tracts, size ofAmplatz sheath and the number of stones significantly affect the blood loss post PCNL. Identification ofthese risk factors should be considered for minimizing bleeding in PCNL

Distributional patterns of amphibians and reptiles in Ghandruk, Annapurna Conservation Area, Nepal

In May and October 2017, we assessed the distribution and diversity of herpetofauna in the Ghandruk region of the Annapurna Conservation Area. Using the Visual Encounter Survey (VES) protocol on 11 randomly selected transects, we recorded 662 individuals of 25 herpetofaunal species (12 amphibians and 13 reptiles). Species richness and abundance declined with increases in elevation but only the correlation between elevation and abundance was significant. Neither amphibians nor reptiles were uniformly distributed among different habitats, and species richness of both amphibians and reptiles varied significantly among habitat types. The greatest amphibian species richness was in wetlands, whereas that of reptiles was highest in forests. &nbsp

Performance of ChatGPT on USMLE: Unlocking the Potential of Large Language Models for AI-Assisted Medical Education

Artificial intelligence is gaining traction in more ways than ever before. The popularity of language models and AI-based businesses has soared since ChatGPT was made available to the general public via OpenAI. It is becoming increasingly common for people to use ChatGPT both professionally and personally. Considering the widespread use of ChatGPT and the reliance people place on it, this study determined how reliable ChatGPT can be for answering complex medical and clinical questions. Harvard University gross anatomy along with the United States Medical Licensing Examination (USMLE) questionnaire were used to accomplish the objective. The paper evaluated the obtained results using a 2-way ANOVA and posthoc analysis. Both showed systematic covariation between format and prompt. Furthermore, the physician adjudicators independently rated the outcome's accuracy, concordance, and insight. As a result of the analysis, ChatGPT-generated answers were found to be more context-oriented and represented a better model for deductive reasoning than regular Google search results. Furthermore, ChatGPT obtained 58.8% on logical questions and 60% on ethical questions. This means that the ChatGPT is approaching the passing range for logical questions and has crossed the threshold for ethical questions. The paper believes ChatGPT and other language learning models can be invaluable tools for e-learners; however, the study suggests that there is still room to improve their accuracy. In order to improve ChatGPT's performance in the future, further research is needed to better understand how it can answer different types of questions.Comment: 12 pages, 4 Figues, 4 table

Draft Genome Sequences of Three Cellulolytic Bacillus licheniformis Strains Isolated from Imperial Geyser, Amphitheater Springs, and Whiterock Springs inside Yellowstone National Park

Novel cellulolytic microorganisms are becoming more important for rapidly growing biofuel industries. This paper reports the draft genome sequences of Bacillus licheniformis strains YNP2-TSU, YNP3-TSU, and YNP5-TSU. These cellulolytic isolates were collected from several hydrothermal features inside Yellowstone National Park