Feature Extraction in Music information retrival using Machine Learning Algorithms

Music classification is essential for faster Music record recovery. Separating the ideal arrangement of highlights and selecting the best investigation technique are critical for obtaining the best results from sound grouping. The extraction of sound elements could be viewed as an exceptional case of information sound information being transformed into sound instances. Music division and order can provide a rich dataset for the analysis of sight and sound substances. Because of the great dimensionality of sound highlights as well as the variable length of sound fragments, Music layout is dependent on the overpowering computation. By focusing on rhythmic aspects of different songs, this article provides an introduction of some of the possibilities for computing music similarity. Almost every MIR toolkit includes a method for extracting the beats per minute (BPM) and consequently the tempo of each music. The simplest method of computing very low-level rhythmic similarities is to sort and compare songs solely by their tempo There are undoubtedly far better and more precise solutions.  work discusses some of the most promising ways for computing rhythm similarities in a Big Data framework usaing machine Learning algorithms

Effect of Cationic Surfactant Head Groups on Synthesis, Growth and Agglomeration Behavior of ZnS Nanoparticles

Colloidal nanodispersions of ZnS have been prepared using aqueous micellar solution of two cationic surfactants of trimethylammonium/pyridinium series with different head groups i.e., cetyltrimethylammonium chloride (CTAC) and cetyltrimethylpyridinium chloride (CPyC). The role of these surfactants in controlling size, agglomeration behavior and photophysical properties of ZnS nanoparticles has been discussed. UV–visible spectroscopy has been carried out for determination of optical band gap and size of ZnS nanoparticles. Transmission electron microscopy and dynamic light scattering were used to measure sizes and size distribution of ZnS nanoparticles. Powder X-ray analysis (Powder XRD) reveals the cubic structure of nanocrystallite in powdered sample. The photoluminescence emission band exhibits red shift for ZnS nanoparticles in CTAC compared to those in CPyC. The aggregation behavior in two surfactants has been compared using turbidity measurements after redispersing the nanoparticles in water. In situ evolution and growth of ZnS nanoparticles in two different surfactants have been compared through time-dependent absorption behavior and UV irradiation studies. Electrical conductivity measurements reveal that CPyC micelles better stabilize the nanoparticles than that of CTAC

Study of sociodemographic profile and pattern of gynaecological malignancies in a tertiary care center

Background: Gynaecological malignancies are second most common cancer of females after cancer breast. Carcinoma cervix is the commonest gynaecological malignancy in developing countries while in developed countries, ovarian cancer is the commonest gynaecological malignancy. Appropriate screening and timely diagnosis can save many lives. The objective of this study was to study socio-demographic profile of patients presenting with gynaecological malignancy. And to study presenting symptoms and pattern of gynaecological malignancies in themMethods: It was a retrospective record based study from December 2011 to December 2015. Various parameters from Case records of patients with gynaecological malignancies who visited outpatient department of unit IV were retrieved and analysis done.Results: In our study, most of the patients (30.52%) belonged to age group of 51-60 years, were multiparous (94.21%), Illiterate (67.3%) and belonged to rural background (65.28%). Most of the patients of cancer cervix had their presenting complaint as post-menopausal bleeding (48.38%), followed by excessive white discharge (33.87%). Majority of patients (65.26%) had cancer cervix, were in FIGO stage II .Commonest histopathological type was squamous cell carcinoma.Conclusions: Most common gynaecological malignancy in India is carcinoma cervix. Proper screening and timely diagnosis can save many lives

Evaluation of the variations and potential clinical use of second trimester serum markers for the detection of pre-eclampsia

Background: In many areas of world, hypertensive disease in pregnancy is the single most common cause of maternal death. Pregnancy associated hypertension remains unsolved despite decades of intensive research and remains the most significant problem in obstetrics. The aim of present study is to evaluate the variations and potential clinical use of second trimester serum markers for the detection of pre-eclampsia.Methods: In an observational study, estimations of serum of human chorionic gonadotropin (β-hCG) were done in 347 randomly selected women at 13-20 weeks of gestation in august 2015 to may 2016. Multiple of median (MOM) was calculated from charts of norms available for that weeks of pregnancy. The subjects were followed up till delivery for the development of hypertension in pregnancy and results analysed statistically with Chi-square test.Results: Out of 347, 47 women developed hypertyension and 2MOM of β hCG was significantly (P<0.001) elevated in those who developed hypertension compared to normotensive women. In our study group a significant associations between elevations in second trimester β-hCG and development of hypertension was observed. Thus with second trimester serum marker study, prediction of pre- eclampsia is possible at incipient stage and adverse pregnancy outcome can be minimized.Conclusions: Maternal serum β-hCG level was found to be significantly higher in hypertensive group than normal group

CHEMICAL COMPOSITION, ANTIOXIDANT, ANTIBACTERIAL AND CYTOTOXICITY ANALYSIS OF BLUMEA LACERA (BURM. F.) DC

Objective: To investigate the in vitro antibacterial and antioxidant potential of B. lacera (leaves). The most active extracts were examined for their chemical composition and cytotoxicity.Methods: The antibacterial activity of five different extracts were examined against 8 bacterial strains (5 Gram-positive and 3 Gram-negative) using resazurin based microtitre dilution assay (RMDA) and disk diffusion assay (DDA). The antioxidant activity of extracts was demonstrated by using DPPH (1, 1-diphenyl-2-picrylhydrazyl) assay and superoxide radical scavenging assay. Chemical composition and cytotoxicity were assessed by using gas chromatography-mass spectrometry (GC-MS) and haemolytic assay, respectively.Results: According to RMDA, the petroleum ether extract (PEE) and chloroform extract (CE) exhibited highest antibacterial activity. The PEE showed highest activity against Salmonella enterica ser. typhi and Serratia marcescens with MIC i.e. 390.62 μg/ml. Similarly, the CE showed highest antibacterial activity against Bacillus cereus and Micrococcus luteus with MIC i.e. 390.62 μg/ml. In DPPH assay, CE showed the highest radical scavenging activity with IC50 57.46 µg/ml. In GCMS analysis, the principal compounds in PEE and CE were stigmasterol (12.86 %) and L-(+)-ascorbic acid 2, 6-dihexadecanoate (11.73 %), respectively. In haemolytic assay, the PEE and CE showed non-toxic behaviour up to 125 µg/ml and 500 µg/ml, respectively. Conclusion: The present investigation represents B. lacera as an incredible herb. The PEE and CE were found to possess promising antibacterial and antioxidant properties. The CE exhibited lesser toxicity as compared with PEE

Study of medical disorders in pregnancy among in patients at a tertiary care hospital in Haryana, India

Background: Pregnancy is a physiological condition in which various changes occur in pregnant women just to accommodate growing fetus. Pregnancy is a stress test for woman and may unmask certain underlying chronic diseases like, DM, hypertension which were silent or asymptomatic prior to pregnancy. This study was done to know the incidence, type and demographic profile of medical disorders in pregnancy among in patient at a tertiary care hospital.Methods: It was a retrospective study conducted on 578 patients of medical disorders in pregnancy admitted in a tertiary care hospital from January 2017 to December 2017. Data collected from record room and analysis done.Results: Total antenatal admissions were 4721. Incidence of medical disorders was 12.24%. Majority of women were in age group 20-30 years (65.5%). Low-parity (P0, P1). Hypertensive disorders in pregnancy was commonest reported disorder (42.3%), followed by hematological disorder (38.7%), liver disorder 5%, endocrine disorder 4.8%, epilepsy 3.8% and HIV 2.6% in present study.Conclusions: Hypertensive disorders were commonest medical disorder followed by hematological, liver, endocrine and epilepsy. All medical disorders in pregnancy to be managed by team approach

Evolution of ZnS Nanoparticles via Facile CTAB Aqueous Micellar Solution Route: A Study on Controlling Parameters

Synthesis of semiconductor nanoparticles with new photophysical properties is an area of special interest. Here, we report synthesis of ZnS nanoparticles in aqueous micellar solution of Cetyltrimethylammonium bromide (CTAB). The size of ZnS nanodispersions in aqueous micellar solution has been calculated using UV-vis spectroscopy, XRD, SAXS, and TEM measurements. The nanoparticles are found to be polydispersed in the size range 6–15 nm. Surface passivation by surfactant molecules has been studied using FTIR and fluorescence spectroscopy. The nanoparticles have been better stabilized using CTAB concentration above 1 mM. Furthermore, room temperature absorption and fluorescence emission of powdered ZnS nanoparticles after redispersion in water have also been investigated and compared with that in aqueous micellar solution. Time-dependent absorption behavior reveals that the formation of ZnS nanoparticles depends on CTAB concentration and was complete within 25 min

Association of respiratory symptoms and lung function with occupation in the multinational Burden of Obstructive Lung Disease (BOLD) study

Background Chronic obstructive pulmonary disease has been associated with exposures in the workplace. We aimed to assess the association of respiratory symptoms and lung function with occupation in the Burden of Obstructive Lung Disease study. Methods We analysed cross-sectional data from 28 823 adults (≥40 years) in 34 countries. We considered 11 occupations and grouped them by likelihood of exposure to organic dusts, inorganic dusts and fumes. The association of chronic cough, chronic phlegm, wheeze, dyspnoea, forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1)/FVC with occupation was assessed, per study site, using multivariable regression. These estimates were then meta-analysed. Sensitivity analyses explored differences between sexes and gross national income. Results Overall, working in settings with potentially high exposure to dusts or fumes was associated with respiratory symptoms but not lung function differences. The most common occupation was farming. Compared to people not working in any of the 11 considered occupations, those who were farmers for ≥20 years were more likely to have chronic cough (OR 1.52, 95% CI 1.19–1.94), wheeze (OR 1.37, 95% CI 1.16–1.63) and dyspnoea (OR 1.83, 95% CI 1.53–2.20), but not lower FVC (β=0.02 L, 95% CI −0.02–0.06 L) or lower FEV1/FVC (β=0.04%, 95% CI −0.49–0.58%). Some findings differed by sex and gross national income. Conclusion At a population level, the occupational exposures considered in this study do not appear to be major determinants of differences in lung function, although they are associated with more respiratory symptoms. Because not all work settings were included in this study, respiratory surveillance should still be encouraged among high-risk dusty and fume job workers, especially in low- and middle-income countries.publishedVersio

Estimating global injuries morbidity and mortality : methods and data used in the Global Burden of Disease 2017 study

Background: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results: GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions: GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future

Global injury morbidity and mortality from 1990 to 2017 : results from the Global Burden of Disease Study 2017

Correction:Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.Peer reviewe