Movie Recommender System using Collaborative Filtering

Recommender systems have been a crucial research area in late years. It’s a tool that provide recommendation which may be helpful to the user to select item of their interest among thousand other items. In this paper we have given a brief description of collaborative and content based filtering. It contains difference between the two and the flaws they contain. It also reviews the literature of recommender system. The intent of the paper is to study the working of collaborative filtering method using film-trust dataset. The results obtained present a list of recommendation

Towards building a Deep Learning based Automated Indian Classical Music Tutor for the Masses

Music can play an important role in the well-being of the world. Indian classical music is unique in its requirement for rigorous, disciplined, expert-led training that typically goes on for years before the learner can reach a reasonable level of performance. This keeps many, including the first author of this paper, away from mastering the skill. The problem is particularly compounded in rural areas, where the available expertise may be limited and prohibitively expensive, but the interest in learning classical music still prevails, nevertheless. Machine Learning has been complementing, enhancing, and replacing many white-collar jobs and we believe it can help with this problem as well. This paper describes efforts at using Machine Learning techniques, particularly, Long Short-Term Memory for building a system that is a step toward provisioning an Indian Classical Music Tutor for the masses. The system is deployed in the cloud using orchestrated containerization for potential worldwide access, load balancing, and other robust features

Comparison of the various diagnostic criteria used in polycystic ovary syndrome

Background: Polycystic Ovary Syndrome (PCOS) represents one of the major causes of infertility in women. Various criteria are set to diagnose PCOS, some over diagnose and some underdiagnose it. The objective of the study was to compare the various criteria used for the diagnosis of PCOS: NIH 1990 criteria, Rotterdam 2003 criteria and AE-PCOS Society 2006 criteria.Methods: This was a cross-sectional study conducted over a period of one year. Patients with suspicion of PCOS were selected. After complete history and examination, blood samples were collected and androgen levels were measured. They were labeled as PCOS based on their fulfillment of the criteria as per Rotterdam, NIH and AE-PCOS Society.Data was analysed and conclusions drawn.Results: Of the participants, 25.7%, 28.5%, and 62.8% were diagnosed with PCOS using NIH, AE-PCOS Society, and Rotterdam criteria, respectively. Phenotypes that included hyperandrogenism and/or hyperandrogenemia as part of their criteria showed increase in values of DHEAS and S. testoterone as compared to the normoandrogenic phenotype included in only the Rotterdam criteria.Conclusions: It is crucial to establish the diagnostic criteria for PCOS and initiate early treatment as this may play a role in the prevention of metabolic and cardiovascular diseases

Isolation of Halophilic Bacteria and Their Screening for Extracellular Enzyme Production

617-622Halophiles are those microorganisms which are found at high salt concentration. These microorganisms have the capability to form a wide array of bioactive substances that have different applications in various industries. This work focussed at the isolation and screening of various halophilic bacterial strains from different places in Rajasthan and Tamil Nadu. Using a complete medium with different salt concentrations, 70 halophilic bacteria were isolated from 4 different sites. These isolated bacteria were then examined and screened out for the synthesis of different extracellular enzymes, such as cellulase, lipase and amylase. Out of the total, 24 isolates were found positive for amylase, 9 for lipase and 16 for cellulase. These enzymes can perform the hydrolytic activity at high salt concentrations. The various halophilic bacterial strains isolated from various places show a prospective for use in a range of biotechnological and molecular biology experiments and the extremozymes obtained from these bacteria have great industrial importance

Isolation of Halophilic Bacteria and Their Screening for Extracellular Enzyme Production

Halophiles are those microorganisms which are found at high salt concentration. These microorganisms have the capability to form a wide array of bioactive substances that have different applications in various industries. This work focussed at the isolation and screening of various halophilic bacterial strains from different places in Rajasthan and Tamil Nadu. Using a complete medium with different salt concentrations, 70 halophilic bacteria were isolated from 4 different sites. These isolated bacteria were then examined and screened out for the synthesis of different extracellular enzymes, such as cellulase, lipase and amylase. Out of the total, 24 isolates were found positive for amylase, 9 for lipase and 16 for cellulase. These enzymes can perform the hydrolytic activity at high salt concentrations. The various halophilic bacterial strains isolated from various places show a prospective for use in a range of biotechnological and molecular biology experiments and the extremozymes obtained from these bacteria have great industrial importance

First report of Groundnut bud necrosis virus infecting wild species of Vigna, based on NP gene sequence characteristics

Symptoms such as chlorotic and necrotic spots on leaves, necrosis of the stems and petioles, broadly resembling those induced by Groundnut bud necrosis virus (GBNV) in cultivated species of Vigna were observed in twelve accessions of wild species/sub-species of Vigna (V. umbellata, V. glabrescens, V. hainiana, V. mungo var. mungo, V. radiata var. radiata and V. radiata var. sublobata) grown at the Indian Institute of Pulses Research, Kanpur, India during August-November 2011. Disease incidence ranged between 7.13- 40.3%. The identity of the virus was confirmed on the basis of symptoms on diagnostic host (cowpea cv. Pusa Komal) and nucleocapsid protein (NP) gene sequence characteristics. Analysis of NP gene of intra-field isolates of GBNV revealed 1-4% diversity in nucleotide and 0-4% in amino acids.  However, diversity among intra-field isolates and isolates from cultivated Vigna ranged 2-7% at nucleotide level and 0-6 at amino acids level. This paper reports for the first time GBNV infection in these wild species/sub-species of Vigna and analyze the intra-field diversity in the NP gene of 12 GBNV isolates

Towards building a Deep Learning based Automated Indian Classical Music Tutor for the Masses

Music can play an important role in the well-being of the world. Indian classical music is unique in its requirement for rigorous, disciplined, expert-led training that typically goes on for years before the learner can reach a reasonable level of performance. This keeps many, including the first author of this paper, away from mastering the skill. The problem is particularly compounded in rural areas, where the available expertise may be limited and prohibitively expensive, but the interest in learning classical music still prevails, nevertheless. Machine Learning has been complementing, enhancing, and replacing many white-collar jobs and we believe it can help with this problem as well. This paper describes efforts at using Machine Learning techniques, particularly, Long Short-Term Memory for building a system that is a step toward provisioning an Indian Classical Music Tutor for the masses. The system is deployed in the cloud using orchestrated containerization for potential worldwide access, load balancing, and other robust features

Zinc peroxide nanomaterial as an adsorbent for removal of Congo red dye from waste water

In the past decade, various natural byproducts, advanced metal oxide composites and photocatalysts have been reported for removal of dyes from water. Although these materials are useful for select applications, they have some limitations such as use at fixed temperature, ultra violet (UV) light and the need for sophisticated experimental set up. These materials can remove dyes up to a certain extent but require long time. To overcome these limitations, a promising adsorbent zinc peroxide (ZnO2) nanomaterial has been developed for the removal of Congo red (CR) dye from contaminated water. ZnO2 is highly efficient even in the absence of sunlight to remove CR from contaminated water upto the permissible limits set by the World Health Organization (WHO) and the United States- Environmental Protection Agency (US-EPA). The adsorbent has a specific property to adjust the pH of the test solution within 6.5-7.5 range irrespective of acidic or basic nature of water. The adsorption capacity of the material for CR dye was 208 mg g(-1) within 10 min at 2-10 pH range. The proposed material could be useful for the industries involved in water purification. The removal of CR has been confirmed by spectroscopic and microscopic techniques. The adsorption data followed a second order kinetics and Freundlich isotherm