Evaluation of ovulisa: An indigenous ELISA kit for detection of ovulation

Aprototype kit for the detection of occurrence of ovulation based on urinary pregnanediol glucuronide estimations by ELISA was developed in our laboratory. This kit was sent for evaluation at 4 centres in Bombay and Pune, India. The diagnosis of ovulation/anovulation based on the results of the kit is comparable with that based on reference parameters commonly used (ultrasonography of ovarian follicles and serum progesterone estimations). The accuracy of the test was 93.5%, specificity was 87.5% and sensitivity was 95.7%. This rapid indigenous test can be very useful in assessing ovulatory status of the woman by the clinicians in their offices.     

“Hurt People,Hurt People”: The Trauma of Juvenile Incarceration

The Urban Review - While approximately one in three youths are identified by juvenile probation officers as needing mental health services, researchers estimate that between 67 and 90% of detained...     

The origin and direction of industrial R&D in India

This paper surveys the trends in industrial R&D in India over the last two decades. It shows that there has been a rapid rise in R&D expenditure and a shift in its composition towards in-house corporate R&D and away from R&D in government laboratories, which is explained by the laboratories' lack of market orientation and manufacturing experience. According to cross-section studies of corporate R&D, larger companies aim towards larger technological advances and take a longer view; but the overall composition of corporate R&D shows no discernible change. This apparent inconsistency is explained by the development of the technology market. Much R&D was triggered off by the need for import replacement arising from import controls till 1965 and later by the need for product diversification in the recession. But construction of new plants and mechanization for speeding up operations, activities where sustained R&D can yield large firms a steady flow of innovations, were unimportant or infrequent, and the demand for technology they gave rise to was largely met by imports.     

A new industry creation and originality: Insight from the funding sources of university patents

Scientific breakthroughs coming from universities can contribute to the emergence of new industries, such as in the case of biotechnology. Obviously, not all research conducted in universities leads to a radical change from existing technological trajectories. Patents and patent dynamics have long been recognized as critical in understanding the emergence of new technologies and industries. Specifically, patent citations provide insight into the originality of a discovery that has received patent protection. Yet while a large body of literature addresses the impact of patent originality on various firm performance measures, we address the question of what conditions drive patent originality in the process of knowledge creation within the university. Using data on patented cancer research, we examine how research context – as reflected by the funding source for each scientist – is associated with patent originality. We find that when university scientists are partly funded by their own university, they have a higher propensity to generate more original patents. By contrast, university scientists funded either by industry or other non-university organizations have a lower propensity to generate more original patents. The significance of our findings in the cancer research setting call for further research on this question in other research fields.     

Changes in erythrocyte membrane glycoproteins during leukaemia

Changes in erythrocyte membrane glycoproteins during, leukaemia were investigated in one hundred patients. Control group contained normal ones. The total protein and protein bound total carbohydrates (neutral sugars) in the glycoproteins extracted from the erythrocyte membrane showed significant reduction in total protein and protein bound total carbohydrates before radiotherapy. However, after the radiotherapy there was further reduction in total protein by 10.41% whereas there was increase in total carbohydrates by 9.98%. Qualitative analysis reveals that with the help of lectins one can pin point the sugars which appear or disappear due to leukaemia. The test could be of a diagnostic value.     

Feasibility of determination of fertile period in Indian women based on urinary hormone estimations

Baseline data available on the excretory profiles of estrone giucuronide (E₁G), pregnanediol glucuronide (PdG) and luteinising hormone (LH) on human menstrual cycles (n=104) was retrospectively analysed for identifying the limits of fertile period (FP) to be used as natural method of family planning. The limits of fertile period are suggested based on centile distribution of E₁G and PdG levels during defined phase of menstrual cycle. Two approaches, which do not involve any mathematical calculation are suggested. In approach A, fertile period is said to have started when E₁G value of 35 ng/ml is reached and is said to have ended when the PdG value of 2 μg/ml on two consecutive days is obtained. The criteria were applied to 30 test cycles in whom authentic fertile period was identified based on excretory profiles of E₁G, PdG and LH throughout the menstrual cycles. When approach A was followed the authentic fertile period was covered in 27 cycles giving an accuracy of 90% with a mean fertile period length of 9.11+1.9 days. In approach B, the cut off limit of E₁G value was increased to 55 ng/ml in order to reduce the days of abstinence. Though the length of the fertile period was reduced to 7.2+1.5 days the accuracy of the approach was 66.6%. Thus the approach A which has accuracy of 90% may appeal to determined couples who wish to practice family planning by periodic abstinence or restrict the use of barrier methods.     

Sentiment classification: a lexical similarity based approach for extracting subjectivity in documents

With the growth of social media, document sentiment classification has become an active area of research in this decade. It can be viewed as a special case of topical classification applied only to subjective portions of a document (sources of sentiment). Hence, the key task in document sentiment classification is extracting subjectivity. Existing approaches to extract subjectivity rely heavily on linguistic resources such as sentiment lexicons and complex supervised patterns based on part-of-speech (POS) information. This makes the task of subjective feature extraction complex and resource dependent. In this work, we try to minimize the dependency on linguistic resources in sentiment classification. We propose a simple and statistical methodology called review summary (RSUMM) and use it in combination with well-known feature selection methods to extract subjectivity. Our experimental results on a movie review dataset prove the effectiveness of the proposed methodology.