476 research outputs found

    Homeomorphisms of the Sierpinski Carpet

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    The Sierpinski carpet is a fractal formed by dividing the unit square into nine congruent squares, removing the center one, and repeating the process for each of the eight remaining squares, continuing infinitely many times. It is a well-known fractal with many fascinating topological properties that appears in a variety of different contexts, including as rational Julia sets. In this project, we study self-homeomorphisms of the Sierpinski carpet. We investigate the structure of the homeomorphism group, identify its finite subgroups, and attempt to define a transducer homeomorphism of the carpet. In particular, we find that the symmetry groups of platonic solids and D_n x Z_2 for positive integers n are all subgroups of the homeomorphism group of the carpet, using the theorem of Whyburn that any two S-curves are homeomorphic

    A Comparative Analysis of Lexical/NLP Method with WEKA's Bayes Classifier

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    Various websites are available as source of microblogs. This is due to nature of microblogs on which people post real time messages about their attitudes on a various topics, talk about present issues, criticize, and articulate positive or negative sentiment for products they use in daily life. That?s why, manufacturing companies of such products have started to take these microblogs to get a sense of general sentiment for their product. Reply can be given by the companies on microblogs for the reactions of the users. Thus challenge is to build a technique to detect and summarize an overall sentiment. The proposed methodology examines sentiments on Twitter data contextually. Sentiment Analysis is the major aspect of present day NLP. Also, Twitter has emerged as the most important data source for present day NLP. In the work carried out, tweets are extracted from Twitter using Twitter API after authentication, a fine pre-processing is dealt and provided for further processing. Later, tag each word with their respective parts of speech using Part-Of-Speech (POS) tagger. SentiWordNet, WordNet and NLP weight assignment policies are used to assign weights and provide results. The analysis of same data set is also done with Na?ve Bayes classifier using WEKA - the data mining tool. Then results of both ? the proposed method and Na?ve Bayes are compared. (Then finally comparison between the results of proposed method with Na?ve Bayes classier is done.) The investigation proved that our method i.e. NLP technique works better than that of Na?ve Bayes Classifier. And this study also proves that the training set to the classier matters a lot in Machine Learning - ?Expected output can be accurate if and only if the training of a classifier is better?

    Electronic Spectral Studies of 2-chloro-6-methoxypyridine in Various Solvents

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    Risk of violence from the man involved in the pregnancy after receiving or being denied an abortion.

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    BackgroundIntimate partner violence is common among women having abortions, with between 6% and 22% reporting recent violence from an intimate partner. Concern about violence is a reason some pregnant women decide to terminate their pregnancies. Whether risk of violence decreases after having an abortion, remains unknown.MethodsData are from the Turnaway Study, a prospective cohort study of women seeking abortions at 30 facilities across the U.S. Participants included women who: presented just prior to a facility's gestational age limit and received abortions (Near Limit Abortion Group, n = 452), presented just beyond the gestational limit and were denied abortions (Turnaways, n = 231), and received first trimester abortions (First Trimester Abortion Group, n = 273). Mixed effects logistic regression was used to assess the relationship between receiving versus being denied abortion and subsequent violence from the man involved in the pregnancy over 2.5 years.ResultsPhysical violence decreased for Near Limits (adjusted odds ratios (aOR), 0.93 per month; 95% Confidence Interval (CI) 0.90, 0.96), but not Turnaways who gave birth (P < .05 versus Near Limits). The decrease for First Trimesters was similar to Near Limits (P = .324). Psychological violence decreased for all groups (aOR, 0.97; CI 0.94, 1.00), with no differential change across groups.ConclusionsPolicies restricting abortion provision may result in more women being unable to terminate unwanted pregnancies, potentially keeping them in contact with violent partners, and putting women and their children at risk

    Correctional repositioning of pathologically migrated maxillary premolars through periodontal therapy

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    Pathological tooth migration (PTM) is the displacement of teeth as a balance among forces that maintain the position are disrupted. It is a common occurrence in a patient suffering from periodontitis. Its treatment includes periodontal therapy followed by a complex interdisciplinary approach to rectify the tooth position. However,  it has also been observed that in certain cases periodontal therapy alone can cause a corrective repositioning of the teeth leading to a closure or a reduction in the displacement. Present case report depicts a nineteen-year-old, healthy nonsmoker male patient with generalized Stage IV Grade C periodontitis. Deep periodontal pockets in #24 and #25 were observed along with a pathological migration of 1.6mm. The patient underwent conventional periodontal surgical intervention. It was noted that the therapy resulted in a reduction of the gap from 1.6 to 0.2mm and distal migration of #24 and a bucco-mesial migration of #25 in the course of one year of follow up. Thus, an early diagnosis and treatment of PTM through the restoration of periodontal health at the right time can cause a corrective repositioning of the teeth in a predictable direction

    Obstetric outcome in elderly gravida

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    Background: Maternal age is an important determinant of the outcome of pregnancy. Advanced maternal age generally signify age after 35 years at the time of delivery. It is associated with decreased fertility and increased risk. Elderly gravida is associated with many complications during pregnancy, labour and also for the baby. In recent times women has changed their lifestyles such as pursuit of higher education and entry into work forces and career advancement outside the home.Methods: This was a retrospective study done in 57 elderly pregnant women more than 33 years age, over a period of 18 months, conducted in a multi-specialty hospital.Results: 57 elderly pregnant women were selected for the study. 47% were in age group of 33-35 years and 42% were in age group of 36-40 years. 61.40% patients were housewives and 38.59% were employed. 50.8% of patients had history of previous abortions and 35% were conceived after treatment for sterility. 64.9% of patients conceived spontaneously and 35% by assisted reproductive technology. Majority of patients (33.3%) required Invitro-fertilization. Multiple pregnancy was high- 21.05%. Hypertension was observed in 26.3% of patients, Antepartum haemorrhage in 4.34%,  Preterm delivery  49.1%, Induction of labour in 10.52%, Normal vaginal delivery only in14%. Majority of patients (80.7%) were delivered by caesarean section.Conclusions: Elderly pregnant patients have higher risks of specific pregnancy complications which contribute to a higher frequency of maternal morbidity and greater health care costs. The risks are due to Hypertension, diabetes, multiple pregnancy, preterm labour, antepartum haemorrhage, PROM, malpresentation, prolonged labour, increased caesarean section rate and postpartum haemorrhage

    Identification of a WNT5A-Responsive Degradation Domain in the Kinesin Superfamily Protein KIF26B.

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    Noncanonical WNT pathways function independently of the β-catenin transcriptional co-activator to regulate diverse morphogenetic and pathogenic processes. Recent studies showed that noncanonical WNTs, such as WNT5A, can signal the degradation of several downstream effectors, thereby modulating these effectors' cellular activities. The protein domain(s) that mediates the WNT5A-dependent degradation response, however, has not been identified. By coupling protein mutagenesis experiments with a flow cytometry-based degradation reporter assay, we have defined a protein domain in the kinesin superfamily protein KIF26B that is essential for WNT5A-dependent degradation. We found that a human disease-causing KIF26B mutation located at a conserved amino acid within this domain compromises the ability of WNT5A to induce KIF26B degradation. Using pharmacological perturbation, we further uncovered a role of glycogen synthase kinase 3 (GSK3) in WNT5A regulation of KIF26B degradation. Lastly, based on the identification of the WNT5A-responsive domain, we developed a new reporter system that allows for efficient profiling of WNT5A-KIF26B signaling activity in both somatic and stem cells. In conclusion, our study identifies a new protein domain that mediates WNT5A-dependent degradation of KIF26B and provides a new tool for functional characterization of noncanonical WNT5A signaling in cells

    Examining the Determinants of Sexual Violence Among Young, Married Women in Southern India

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    The prevalence of sexual violence is increasingly being studied in India. Yet the determinants of sexual violence, irrespective of physical violence, remain largely unexplored. Here the authors identify the determinants of sexual violence, and additionally, explore how the presence of physical violence modifies these determinants. A cross-sectional analysis is conducted using baseline data from a longitudinal study involving young married women attending reproductive health clinics in Southern India. A multivariable logistic regression analysis is conducted to first identify determinants of sexual violence and then repeated after stratifying elements based on presence or absence of physical violence identified from participants’ reports. 36% and 50% of the participants report experiencing sexual and physical violence, respectively. After adjusting for other covariates, women’s partners’ characteristics are found most significantly associated with their odds of experiencing sexual violence. These characteristics include husbands’ primary education, employment as drivers, alcohol consumption, and having multiple sex partners. Women’s contribution to household income also increases their odds of experiencing sexual violence by almost twofold; however, if they are solely responsible for “all” household income, the relationship is found to be protective. Physical violence modifies the determinants of sexual violence, and among women not experiencing physical violence, husbands’ primary education and employment as drivers increase women’s odds of experiencing sexual violence nearly threefold, and women who contribute “all” the household income (n = 62) do not experience sexual violence. These relationships are not significant among women experiencing physical violence. Study findings improve the understanding of the determinants of sexual violence. Future research is needed to examine the risk factors for different types of GBV independently and to tease apart the differences in risk factors depending on women’s experiences. The significance of male partners’ characteristics warrants in-depth research, and in order to promote gender-equitable norms, future interventions need to focus on male behaviors and men’s day-to-day survival challenges, all of which likely influence conflicts in marital relationships

    Infrared Characterisation and Prediction of Aviation Turbine Fuel Plume

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    Broad (3.7 μm - 4.8 μm) as well as narrow band (4.16 μm - 4.24 μm) mid wave infrared characterisation of plume has been reported here. Multiple angular measurements (azimuth) were carried out on a laboratory developed plume source with aviation turbine fuel (ATF) using thermal imaging systems. Correlation of IR prediction to experimental results is the key objectives of this study. As this narrow band covers the blue spike of plume, a comparison of the same with broad band plume contribution has been reported for the first time. Also, a model to simulate the IR radiation of two-dimensional parabolic jet was developed and used to predict spectral contribution from major hydrocarbon fuel combustion products (CO2 and H2O). In addition, it was found that the plume transmission characteristics extracted form imager measurements are qualitatively in agreement with prediction results.
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