Informatics Publishing Limited

Prithvi Singh ¹, Inderjeet Singh ², Gurvinder Singh ³

Affiliations
1 Librarian, Central Library, Sant Longowal Institute of Engg. and Technology (Deemed University of Govt. of India), Longowal, Dist. Sangrur, Punjab, IN
2 Librarian, Adesh Institute of Engineering and Technology, Faridkot, Dist. Faridkot, Punjab, IN
3 Librarian, Guru Nanak Dev Dental College and Research Institute, Sunam Dist. Sangrur, Punjab, IN

Abstract

Pharmacy colleges play a vital role to cater the technical manpower requirements of pharma industry, para medical field, hospitals and pharmacy education sector. The paper describes present status of pharmacy college libraries in Sangrur district in context of collection, number of users, staff strength, state of building, method of material access, charging system, and automation scenario of housekeeping activities. It also suggests the methods for maximal utilization of library resources by library clientele.

Keywords

Pharmacy College, Sangrur District, Library Survey

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Sandeep Kumar ¹, Inderjeet Singh ², Nitin Kumar ³, Charanjiv Singh ¹

Affiliations
1 Department of Food Engineering and Technology, Sant Longowal Institute of Engineering and Technology, Longowal, Sangrur (Punjab), IN
2 Department of Food Engineering and Technology, Sant Longowal Institute of Engineering and Technology, Longowal, Sangrur (Punjab)
3 Department of Food Engineering, National Institute of Food Technology Intrepreneurship and Management, Sonipat (Haryana), IN

Abstract

Substitution of wheat flours with non-wheat flours has received considerable attention in recent years due to their positive health benefits. The influence of blending (5-25 %) of popped makhana flour and wheat flour on the physico-chemical, textural and sensory qualities of cookie made from popped makhana-wheat flour blend was investigated. The physico-chemical characteristics of cookies were evaluated in terms of proximate composition and energy value. Physical properties were in terms of cookie diameter, thickness, spread ratio, colour and cookie breaking strength (texture). The cookie sensory qualities were evaluated in terms of texture, mouthfeel, taste, colour and overall acceptability. Increase in the popped makhana flour proportion increased the moisture and protein content of the cookies and resulted in a decrease in the fat, ash content, crude fibre, carbohydrates and energy value of the cookie. Breaking strength of the cookies significantly (p<0.05) increased whereas cookie diameter and spread ratio significantly decreased with an increase in popped makhana flour proportion. On the other hand, increase in weight and thickness was observed with increase in proportion of popped makhana flour. The colour value in terms of L*, a* and b* also decreased and increase in colour difference was observed. The sensory quality scores of cookie decreased significantly with increase in popped makhana flour proportion. The results of overall acceptability confirmed that replacing of wheat flour with popped makhana flour up to 25 per cent for cookie baking was fairly acceptable by the sensory panelist.

Keywords

Cookies, Makhana, Popped Makhana Flour.

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Amit Verma ¹, Iqbaldeep Kaur ², Inderjeet Singh ¹

Affiliations
1 Department of Computer Science and Engineering, Chandigarh University, Mohali - 140413, Punjab, IN
2 Department of Computer Science and Engineering, Chandigarh Engineering College, Mohali - 140307, Punjab, IN

Abstract

Background/Objectives: There are a lot of information retrieval techniques available for getting information from different kinds of sources. Main aim of this paper is to improve information retrieval activities to a higher level. Different methods for information retrieval have been studied and discussed. It involves use of Fuzzy Ontology Generation framework (FOGA) framework along with Formal Concept Analysis (FCA) based clustering and keyword matching approach. Hidden Markov Model has been used for retrieval of data from search engines in an intelligent and efficient way for correct identification and retrieval from the database. Classification algorithm has been used for detection of community and conversion of large community graph to sub community graph for its better study and usage. Findings: It has been found that fuzzy ontology generation framework can automatically generate the fuzzy ontology which is very hard and time consuming task otherwise. Clustering of data can be done using the technique of formal concept analysis along with keyword matching method. There is a large amount of data available under similar words but with different meanings. So there has been a lot of problem in retrieval of exact data as required in a very short amount of time. In this case Hidden Markov Model can be used which can find the non-observable or hidden stochastic process from the observable stochastic process. Application/Improvements: Generalized Expectation-Maximization algorithm used with Hidden Markov Model can find unknown parameters. By adding frequency tracking algorithm along with Hidden Markov Model, we can also track audible data from a large database. Community detection algorithm along with Informap and Bigclam algorithms used with Hidden Markov Model will increase the modularity of data. Its applications include use of information retrieval of different types of data in an extremely faster and efficient way.

Keywords

Classification, Clustering, Community Detection Algorithm, Fuzzy Ontology Generation Framework, Formal Concept Analysis, Hidden Markov Model

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R. B. Jain ¹, Anand Kumar Sharma ², Sami Magray ³, Sumit Chawla ⁴, Bharti ⁵, Inderjeet Singh ¹, Vikas Gupta ¹

Affiliations
1 Department of Community Medicine, PGIMS, Rohtak, Haryana, IN
2 Department of Physiology, MMMC&H, Kumarhatti, Solan, H.P., IN
3 Department of Pharmacology, MMMC&H, Kumarhatti, Solan, H.P, IN
4 Department of Community Medicine, MMMC&H, Kumarhatti, Solan, Himachal Pardesh, IN
5 WHO, IN

Abstract

Tobacco use is today's major public health concern in our country, which can be largely reduced by primordial and primary prevention. According to NFHS III, 57% of men and 10.8% of women use any kind of tobacco in India. To determine the prevalence and correlates of tobacco use among the rural community of block Beri, district Jhajjar, Haryana. This cross-sectional study was carried out during the period of September 2012 to August 2013.Multistage random sampling was used in this study. A sample size of 1080 was included in the study Appropriate statistical tests were used for analysis. The overall prevalence of current tobacco use was found to be 26.9% (tobacco-smoking: 26.4%; tobacco-smokeless: 2.7%) and it was found to be higher among males as 46.7% (tobacco-smoking: 46.3%; tobacco-smokeless: 4.4%) than7.2% in females (tobacco-smoking: 6.5%; tobacco-smokeless: 0.9%). Our study confirmed the high burden of tobacco use in rural areas and reiterated the need to address these issues comprehensively as a part of NCD prevention and control strategy.

Keywords

Prevalence, Tobacco, Socio-Demographic, Rural, Haryana.

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