Music Recommendation System with User-based and Item-based Collaborative Filtering Technique

Internet and E-commerce are the generators of abundant of data, causing information Overloading.  The problem of information overloading is addressed by Recommendation Systems (RS). RS can provide suggestions about a new product, movie or music etc. This paper is about Music Recommendation System, which will recommend songs to users based on their past history i.e. taste. In this paper we proposed a collaborative filtering technique based on users and items. First user-item rating matrix is used to form user clusters and item clusters. Next these clusters are used to find the most similar user cluster or most similar item cluster to a target user. Finally songs are recommended from the most similar user and item clusters. The proposed algorithm is implemented on the benchmark dataset Last.fm. Results show that the performance of proposed method is better than the most popular baseline method

Spectrally efficient multicarrier modulation system for visible light communication

Visible Light Communication (VLC) has become an accolade to its radio frequency counterpart. In VLC system, orthogonal frequency division multiplexing (OFDM) has drawn much attention, because of simple equalization, high spectral efficiency, high data rate and robustness to intersymbol interference (ISI). Besides, there are emerging applications that ought to be gotten with low latency and high reliability. To diminish power requirements with no transmission capacity extension, Trellis coded modulation (TCM) is utilized as a part of the framework in which the free distance of trellis diagram is equivalent to the minimum distance between the points of constellation focuses in partitioned subsets, which augments the coding gain up i.e. the performance parameter viably. TCM together with VLC-OFDM enhances the transmission execution in reasonable frameworks. In this paper, we propose OFDM which is based on TCM and is planned and exeuted for digitized OFDM frameworks by presenting delta sigma modulation (DSM) considering VLC channel. Simulation results show that the proposed TCM based VLC-OFDM offers incredible robustness against noises and nonlinear degradation

QUANTITATIVE ESTIMATION OF RILUZOLE USING SOLUBILIZING AGENT BY UV-SPECTROPHOTOMETRY

Objective: This study was designed to develop and validate a simple, rapid, and economical UV-spectrophotometric method using a solubilising agent for the estimation of Riluzole.Methods: In this study, a solution of 2% SLS (Sodium Lauryl Sulphate) in PH 9.2 buffer was employed as the solubilising agent to solubilise a poorly water-soluble drug, Riluzole. In the UV-spectrophotometric method, Riluzole was estimated at 225 nm using solubilising agent.Results: Solubilising agent used did not interfere in spectrophotometric analysis of Riluzole. Riluzole followed linearity in the concentration range of 1-5 μg/ml with a coefficient correlation of 0.998.Conclusion: The developed method has shown to be linear (r2 = 0.9984), precise (%R. S. D of 0.87 and 0.84 at intra and inter day respectively), accurate (recovery of 100.37%) with limit of detection (0.54 µg/ ml) and limit of quantification of 1.64µg/ ml as per ICH guidelines. Keywords: Riluzole, UV Spectroscopy, SLS (Sodium Lauryl Sulphate), PH 9.2 buffer

Evaluation of anti-depressant activity of zinc and vitamin B6 as adjuvants to fluoxetine in an animal model of depression

Background: Depression is a significant public health problem. It is estimated by the World Health Organization that more than 300 million people suffer from depression globally. Micronutrient deficiencies have been constantly linked to depression. The currently used drugs in treatment of depression modulate the excitatory and/or the inhibitory neurotransmission pathways through different mechanisms. The aim of the present study was to compare the antidepressant effect of the micronutrients, zinc and vitamin B6, as adjuvants to Fluoxetine in Albino Wistar rats.Methods: Eighteen albino wistar rats of 180-280grams of either sex were used in the study to evaluate the anti-depressant activity after approval from the Institutional Animal Ethics Committee. They were divided into three groups of six rats each (3 groups). Group 1 was control group which received only distilled water, group 2 was standard group which received fluoxetine and group 3 was test group which received zinc, vitamin B6 and fluoxetine. The anti-depressant activity was measured using the forced swimming test (FST) which works on the principles of behavioral despair. Data analysis was done using IBM SPSS software, version 25.0 and p value <0.05 was considered statistically significant.Results: The rats of the standard and test groups had latency periods’ means of 268.83±30.16, 126.17±22.33 and 125.33±11.86 on 254.83±13.00, 118.67±8.16 and 127.17±6.68 seconds on days 1, 7 and 14 respectively (p <0.001) and the rats of the standard and test groups had despair periods’ means of 177.00±7.46, 95.17±10.65, 93.17±7.47and 167.17±14.82, 97.33±7.63 and 87.50±4.1 seconds on days 1, 7 and 14 respectively (p <0.001).Conclusions: Supplementation of zinc and vitamin B6 to the standard treatment fluoxetine yielded better anti-depressant activity than fluoxetine alone in rats subjected to stress

Clinico-pathological analysis of lymphoproliferative disorders: a 3 year study

Background: The incidence of lymphoproliferative disorders has increased in many parts of the world. Newer subtypes have been identified by the new WHO classification. Accurate subtyping of lymphomas is crucial for prompt treatment. Objective of the study was to assess the clinicopathological pattern of lymphoproliferative diseases diagnosed in Rajagiri hospital over a period of 3 years.Methods: A retrospective study on all patients who were diagnosed with lymphoma in Rajagiri hospital during January 2016 to December 2018 was conducted and the data were reviewed and analyzed.Results: A total of 151 patients were included in the study. Majority of the subjects (63%) were males. The predominant age group affected was 61-80 years. Mean age group was 58.46 years (SD=19.05 years). Most common presenting symptom was painless lymphadenopathy. B symptoms were seen in 18% of subjects and was found to be more commonly associated with B cell Non-Hodgkin lymphoma. Most common lymph node involved was cervical lymph node, while the most common extra nodal site was bone marrow. Most common lymphoproliferative disorder was Diffuse large B cell Lymphoma. Lymph node involvement was found in 74% of patients, while hepatomegaly and splenomegaly were seen in 11% and 18.5% of patients. 20% of patients had secondary bone marrow involvement. 8 patients developed recurrent lesions involving other organs.Conclusions: Clinicopathologic patterns of lymphoproliferative disorders vary across various regions. A proper understanding of demographical distribution of lymphomas is very essential, as it can provide valuable clues for accurate diagnosis and treatment

Institutional repositories for knowledge management in academic and research institutions

Information Retrieval Systems (IRS) provide a simple, Webbased mechanism to researchers to deposit (‘self-archive’) and access their research publications. There are many world renowned open source IR softwares available such as EPrints, DSpace, FEDORA, ARNO, i-TOR, CDSWare etc. Each of this software has a host of features, unique facilities and excellent capabilities, which the users could explore and experiment upon. In this paper we emphasize the need for deploying interoperable open access IRs, and share our experience in creating a state-of-art scholarly Institutional Repository using the DSpace software. The system development and administration illustrated in this paper is on Windows environment as we have observed that a large majority of the library professionals in India are more familiar and comfortable with the Microsoft operating system, though strictly speaking, an open source operating environment for an open source IR software would have been more desirable. The method of developing the IR, which include the institutional open access policies, the installation, configuration and customization of the software along with the related workflow operations such as defining the communities and collections, content development and management, designing and creating standard metadata sets are also illustrated

Determination of metformin and triclosan in sewage sludge using Liquid chromatography-mass spectrometry (LC-MS)

Pharmaceuticals and personal care products (PPCPs) are generally neither totally removed by sewage treatment nor completely destroyed in the environment. Metformin (MET) and triclosan (TRI) are two compounds in PPCPs that have the potential to be environmental pollutants. This research aimed to determine MET and TRI in sewage sludge using a liquid chromatograph-mass spectrometer (LCMS-8040) and a sewage sludge extraction method. The Milli-Q water and sewage sludge were also tested at three different MET and TRI concentrations (0.01, 0.02, and 0.03 mg L-1). As a result, the corresponding recoveries of MET and TRI in both matrixes ranged from 85.93 to 116.10 per cent and 90.50 to 116.30 per cent (n = 7, RSD &lt; 10%). Then, the limit of detection (LOD) and the limit of quantification (LOQ) for MET and TRI were found to be 0.005 and 0.01 mg L-1. The amounts of MET and TRI in the sewage sludge samples from the Ukkadam sewage treatment plant (USTP), Coimbatore, ranged from BDL to 0.0587 mg L-1 and 0.0719 to 0.1851 mg L-1, respectively. Consequently, the amounts of MET and TRI in the sewage sludge samples from the Tamil Nadu Agricultural University sewage treatment plant (TSTP), Coimbatore, ranged from BDL to 0.0227 mg L-1 and 0.0393 to 0.1296 mg L-1, respectively. This exclusive use of the highly sensitive LCMS-8040 consumes less time than other analytical methods for measuring the amount of MET and TRI in sewage sludge by overcoming the risk of chemical degradation

Genetic divergence in betelvine (Piper betle L.)

Genetic divergence was assessed in a population of 51 genotypes of betelvine (Piper betle) for seven characters using Mahalanobis D2 technique. The genotypes were grouped into six clusters. The clustering pattern of the genotype was random and did not follow geographical origin, indicating that geographical isolation may not be the only factor causing genetic diversity. Leaf area contributed maximum towards genetic diversity in betelvine. Cluster analysis revealed wide genetic distance between Cluster V and Cluster VI followed by Cluster IV and Cluster VI, and Cluster III and Cluster V. Thus, selections of parents from the clusters with high inter and intra cluster distance will help to obtain substantial heterosis in respect of economic traits during hybridization programme. &nbsp

An Overview on Pashanabedha Medicinal Plants

One of the major kidney diseases that needs a well-targeted therapeutic approach is urolithiasis. For the treatment of lithiasis, a number of medications are available, including diuretics and stone inhibitors, however clinical examination of these medications has revealed a frequency of relapses, adverse effects, and drug interactions. This has served as the justification for the development of new antilithiatic medications, and the hunt for novel molecules has now included herbal medications that provide superior defence and lower relapse rates. Plant-based medications are becoming more popular and are being researched for a variety of illnesses, including lithiasis. A set of medicinal plants known as pashanabheda (literally, ”stonesolving”) are utilised by Ayurvedic doctors in India as anti-urolithiatic medications. The present article reviews the antilithiatic activity of some of the medicinal plants. Here attempt is made to review a few medicinal plants with documented anti-urolithiatic action. In this study, some of the significant plants noted for their antilithiatic effects have been highlighted. Keywords: Urolithiatic; AntiUrolithiatic; Maceration; Turbidimetry; Calcium Oxalat