133 research outputs found

    Is Stack Overflow Overflowing With Questions and Tags

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    Programming question and answer (Q & A) websites, such as Quora, Stack Overflow, and Yahoo! Answer etc. helps us to understand the programming concepts easily and quickly in a way that has been tested and applied by many software developers. Stack Overflow is one of the most frequently used programming Q\&A website where the questions and answers posted are presently analyzed manually, which requires a huge amount of time and resource. To save the effort, we present a topic modeling based technique to analyze the words of the original texts to discover the themes that run through them. We also propose a method to automate the process of reviewing the quality of questions on Stack Overflow dataset in order to avoid ballooning the stack overflow with insignificant questions. The proposed method also recommends the appropriate tags for the new post, which averts the creation of unnecessary tags on Stack Overflow.Comment: 11 pages, 7 figures, 3 tables Presented at Third International Symposium on Women in Computing and Informatics (WCI-2015

    Aroma Profile of Fruit Juice and Wine Prepared from Cavendish Banana (Musa Sp., Group AAA) Cv. Robusta

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    A comparative study of the aroma profile of an alcoholic beverage (wine) and natural juice from banana cv. Robusta was performed. The study showed disappearance and synthesis of many aroma compounds during the fermentation process. Relative abundance of carbonyl compounds was high in the juice, and carboxylic acid content was higher in the wine. Aroma signature compounds of banana juice, isoamyl acetate, butyl isovalerate, isopentyl isovalerate, trans- 2- hexenal and butanoates were present only in a low proportion in the wine, while decanoic, dodecanoic and hexa decanoic acids (as well as their esters) were abundant in the banana wine. Synthesis compounds like methyl nonyl ketone, isoeuginol and 2-methoxy 4-vinyl phenol was greater during fermentation. Elemicin was present in high quantity in both the juice and the wine

    Screening of probiotic strains for development of ready- to -serve probioticated mango beverage

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    Out of the thirteen probiotic strains procured from different sources or isolated from the commercially available sachets, seven isolates showed growth in the ready to serve (RTS) mango beverage. Among the seven strains, only three strains, i.e., Lactobacillus helveticus MTCC 5463, L. rhamnosus MTCC 5946 and Saccharomyces boulardii showed significant growth in the mango beverage. These three strains were further evaluated for population build-up, physico-chemical and sensory evaluation parameters in the fermented mango beverage. Based on the results of sensory scores, minimum threshold population required for classification as probioticated beverage and physico-chemical characteristics, L. helveticus was used for probiotication of the RTS mango beverage. Mango beverage fermented with L. helveticus MTCC 5463 showed an average score of 7.34 on a hedonic scale of 9 for overall acceptability, had an acidity of 0.29%, sugar concentration of 7.6% and pH of 4.4. Probioticated mango beverage also had about 20 and 13% higher phenolics and flavonoids, respectively, compared to uninoculated RTS mango beverage. This study has shown that the RTS mango beverage inoculated with L. helveticus MTCC 5463 has potential for developing probioticated mangobeverage

    Evaluation of New Grape Hybrids and French Cultivars for Wine Production

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    This study aimed at evaluating newly developed hybrids and recently introduced cultivars of French grapes grown in mild tropics of South India for quality wine production. Wines produced from French grapes, viz., Cabernet Sauvignon, Shiraz, Pinot Noir, Sauvignon Blanc, Chenin Blanc and Ugni Blanc scored 15.0 -16.8 in the Davis Score Card for organoleptic analysis. Wines from red Hybrid 18/10 possessed phenolic content of 2097mg/l, had a brilliant colour and sensory score of 13.1. Hybrid 23/2 gave good quality white, dry table wines with a sensory score of 13.4

    Survey on Heuristic Search Techniques to Solve Artificial Intelligence Problems

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    Artificial intelligence (AI) is an area of computer science that highlights the creation of machines that are intelligent, also they work and react like humans. Since AI problems are complex and cannot be solved with direct techniques we resort to heuristic search techniques. Heuristic search technique is any approach to problem solving, learning, or discovery which uses a practical methodology which is not guaranteed to be optimal or perfect, but it is sufficient for the immediate goals. This paper surveys some of the heuristic techniques which is used for searching an optimal solution among multiprocessor environment, followed by and method which enhances the search by doing a search in bidirection and also a method for task scheduling in multiprocessor environment. The paper also discuses about how heuristic is used to solve binary quadratic program and also how it is used in 3G (3rd Generation) Universal Mobile Telecommunication System (UMTS) network. DOI: 10.17762/ijritcc2321-8169.15058

    Employee Surveillance System Using Face Recognition

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    Advancement in technology has made face recognition system more prevalent and convenient to identify a person without a manual system which contributes to time consumption. In this system, facial recognition is by the means by which the employees are monitored. Our project addresses the problems present with manual surveillance by automating it in an efficient manner. Machine learning and deep learning have benefited people from all walks of life, and we plan to use machine learning in our surveillance system to build this specific project with the aid of Python and its comprehensive modules. The project involves a real-time detection of faces which are then matched with the corresponding face in the database. An excel sheet stores the time at which the login has taken place when the detection occurs. To achieve the goals, we used a combination of machine learning techniques and various logic-based algorithms

    DOCKING STUDIES IN TARGET PROTEINS INVOLVED IN ANTIBACTERIAL ACTION MECHANISMS: ALKALOIDS ISOLATED FROM SCUTELLARIA GENUS

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    Objective: In the present work, docking study was performed for 22 selected alkaloids isolated from the genus Scutellaria to evaluate their affinity to bacterial proteins that are known targets for many antibiotics with a different mechanism of action: Inhibitors of cell wall synthesis, inhibitors of nucleic acids synthesis and antimetabolites.Methods: Molecular docking study was carried out using AutoDock 4.2 version and the visualization result using Chimera 1.10 and DiscoveryStudio 4.5.Result: Among the 22 alkaloids studied, with the DNA gyrase protein 1KZN and a dihydropteroate synthase enzyme 3TYE, the compound scutebarbatine E showed a docking score of −8.5 and −8.7 Kcal/mol, respectively, involving with hydrophilic and hydrophobic interactions. With respect to MurD ligase involved in cell wall synthesis 1UAG and 2X5O, the compound 6,7,nicotinyl scutebarbatine G fared well with a docking score of −10.1 and −10.2 Kcal/mol, respectively. Scutebarbatine G performed well with respect to 3UDI with binding scores of −9.3 K cal/mol.Conclusion: Overall, it seems that for the selected alkaloids from the genus Scutellaria, the main mechanism of the action is the inhibition of cell wallsynthesis.Keywords: Scutebarbatine, Alkaloids, Molecular docking, Antimicrobial studies

    Effect of modified atmosphere packaging on quality of minimally processed fenugreek (Trigonella foenum-graecum L.) microgreens

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    Fenugreek (Trigonella foenum-graecum L.) microgreens is an underutilized vegetable with limited shelf life having good source of antioxidants, carotenoid as well as vitamins. The study deals with nutritional quality and optimization of a suitable passive modified atmosphere packaging (MAP) for improving the shelf life of fenugreek microgreens in its minimally processed form (MPFM) at 8oC Semipermeable plastic films viz., low density polyethylene, polypropylene, Cryovac PD 961® and stretchable PVC cling film with varying thickness were evaluated as packaging materials to obtain different MAP composition inside MPFM packages. Packaging of MPFM in 40 μm thick polypropylene film resulted in development of in-pack equilibrium MA with 10-14% oxygen and 5-8% carbon dioxide during storage. This in-pack MA maintained ‘fresh-like’ sensory properties, biochemical and nutritional quality in MPFM till 15 days of storage. Significant loss of B vitamins was recorded in all packages during low temperature storage. Packaging in 40 μm thick polypropylene film retained B vitamins significantly better than other semipermeable films. Low temperature storage in modified atmosphere conditions enhanced vitamin E content in MPFM. The outcome of the study will benefit the entrepreneurs and retailers for distant transport and storage of fenugreek microgreens in commercial open chillers maintained in supermarkets in their ready-to-cook form

    COLORECTAL CANCER AND ITS RISK FACTORS AMONG PATIENTS ATTENDING A TERTIARY CARE HOSPITAL IN SOUTHERN KARNATAKA, INDIA

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    Objective: To determine the association between certain socio-demographic and life style factors with colorectal cancer.Methods: This case-control study was conducted using a pre-designed questionnaire among 100 incident colorectal cancer patients and 200 unmatched controls attending a tertiary care hospital in southern Karnataka. Cases and the controls were interviewed and details regarding their socio-demographic factors were collected. Information on lifestyle factors such as dietary habits, physical activity levels and substance use were documented. They were also assessed for presence of existing co-morbidities and family history of colorectal and other cancers. Multivariable logistic regression was performed to determine the association between various risk factors and colorectal cancer.Results: In the present hospital based study, mean age of the participants was less than 55 years. Sixty three percent of the cases and 54.5% of the controls were males. On multivariable analysis age ≥50years (OR=1.87; 95%CI=1.02-3.45), low physical activity (OR=5.66; 95%CI=3.10-10.34) and low frequency of fruits consumption (OR=4.10; 95%CI=2.21-7.50) and hypertension (OR= 4.65; 95% CI=1.32-16.44) showed a positive association with colorectal cancer.Conclusion: Promoting healthy dietary practices and physical activity among the middle aged population appears to be significant in the context of colorectal cancer prevention in the Indian subcontinent.Keywords: Colorectal cancer, Case–control, Risk factors, Lifestyle, Comorbidities
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