16 research outputs found
An assessment of quality of life of transgender adults in an urban area of Burdwan district, West Bengal
No full textBackground: Transgender people are stigmatised in our society and are being discriminated in every aspect of life. Many of them experience abuses in various forms since childhood. Accordingly these might have adverse consequences on their life and modify their quality of life (QOL). This aspect needs to be explored. In this context the present study was conducted to assess the QOL among adult transgender people and to find its association with their socio-demographic characteristics in Burdwan municipal area of Burdwan district.Methods: A cross-sectional study was conducted during July-December 2016 among 79 adult transgender people residing in the study area. Sample size was based on 50% having satisfactory QOL with 95% CI, 10% relative error, and 10% non-response rate with finite population correction (total target reference population 96). Subjects were selected by simple random sampling and recruited for interview by time space sampling. Socio-demographic characteristics were assessed by a predesigned schedule and QOL was assessed by using a validated Bengali version of WHO-QOL BREF questionnaires.Results: 56.9% people were found to be have good QOL score as a whole. Maximum and minimum percentages of good QOL score was found in environmental domain (84.7%) and social relationship domain (45.8%). A significant positive correlation was found between education and monthly income with QOL score while negative correlation between age and QOL score. Marital status, current living status and occupation were found to have a statistically significant association with QOL score.Conclusions: The study measured QOL as well as identified some important socio-demographic variables which affected QOL among transgender people. These findings can help the government to plan conceptually to improve QOL in this special transgender group of population by some legislation, social awareness and facilities dedicated towards them.</jats:p
Study of fine needle aspiration cytology evaluation of peripheral lymph nodes
No full textIntroduction: Lymph nodes are an integral component of the immune system and their enlargement is commonly noted in clinical practice in a wide spectrum of diseases, including infections like tuberculosis and malignancy. FNAC is an important diagnostic tool for rapid evaluation of mainly superficial lesions, especially of lymph nodes. It is cost effective, relatively less traumatic, and enables the pathologist to provide the clinician with a diagnosis in a very short time, and hence is ideal especially for OPD patients.
Objectives: 1. To study the age and sex distribution of the patients of FNAC of peripheral lymph node. 2. To study the spectrum of diseases diagnosed on FNAC of peripheral lymph nodes.
Methods: Cross-sectional hospital based Observational study. Total 50 patients who had superficial lymphadenopathy were included in this study. Male patients were 21 (42%) and Female patients were 29 (58%). FNAC was performed on this 50 patients. Diagnosis was made by light Microscopy. Result was tabulated and statistical analysis was done.
Results: Male patients were 21 (42%) and Female patients were 29 (58%). 50 % patients were in the age group of 21 to 40 years. Reactive hyperplasia was 46% and Granulomatous lymphadenitis was 18%. Cervical lymph nodes were most commonly involved.
Conclusion: FNAC is a simple, quick, low cost, minimally invasive and easy diagnostic procedure which is very much helpful in the diagnosis of diseases causing superficial lymphadenopathy in all age groups. Reactive hyperplasia of lymph node was the most common cytological diagnosis followed by Granulomatous lymphadenitis
Code Mixed Cross Script Factoid Question Classification - A Deep Learning Approach
No full text[EN] Before the advent of the Internet era, code-mixing was mainly used in the spoken form. However, with the recent popular informal networking platforms such as Facebook, Twitter, Instagram, etc., in social media, code-mixing is being used more and more in written form. User-generated social media content is becoming an increasingly important resource in applied linguistics. Recent trends in social media usage have led to a proliferation of studies on social media content. Multilingual social media users often write native language content in non-native script (cross-script). Recently Banerjee et al. [9] introduced the code-mixed cross-script question answering research problem and reported that the ever increasing social media content could serve as a potential digital resource for less-computerized languages to build question answering systems. Question classification is a core task in question answering in which questions are assigned a class or a number of classes which denote the expected answer type(s). In this research work, we address the question classification task as part of the code-mixed cross-script question answering research problem. We combine deep learning framework with feature engineering to address the question classification task and enhance the state-of-the-art question classification accuracy by over 4% for code-mixed cross-script questions.The work of the third author was partially supported by the SomEMBED TIN2015-71147-C2-1-P MINECO research project.Banerjee, S.; Kumar Naskar, S.; Rosso, P.; Bandyopadhyay, S. (2018). Code Mixed Cross Script Factoid Question Classification - A Deep Learning Approach. Journal of Intelligent & Fuzzy Systems. 34(5):2959-2969. https://doi.org/10.3233/JIFS-169481S2959296934
A hybrid approach for transliterated word-level language identification: CRF with post processing heuristics
No full text© {Owner/Author | ACM} {Year}. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in FIRE '14 Proceedings of the Forum for Information Retrieval Evaluation, http://dx.doi.org/10.1145/2824864.2824876[EN] In this paper, we describe a hybrid approach for word-level language (WLL) identification of Bangla words written in Roman script and mixed with English words as part of our participation in the shared task on transliterated search at Forum for Information Retrieval Evaluation (FIRE) in 2014. A CRF based machine learning model and post-processing heuristics are employed for the WLL identification task. In addition to language identification, two transliteration systems were built to transliterate detected Bangla words written in Roman script into native Bangla script. The system demonstrated an overall token level language identification accuracy of 0.905. The token level Bangla and English language identification F-scores are 0.899, 0.920 respectively. The two transliteration systems achieved accuracies of 0.062 and 0.037. The word-level language identification system presented in this paper resulted in the best scores across almost all metrics among all the participating systems for the Bangla-English language pair.We acknowledge the support of the Department of Electronics and Information Technology (DeitY), Government of India, through the project “CLIA System Phase II”. The research work of the last author was carried out in the framework of WIQ-EI IRSES (Grant No. 269180) within the FP 7 Marie Curie, DIANA-APPLICATIONS (TIN2012-38603-C02-01) projects and the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems.Banerjee, S.; Kuila, A.; Roy, A.; Naskar, SK.; Rosso, P.; Bandyopadhyay, S. (2014). A hybrid approach for transliterated word-level language identification: CRF with post processing heuristics. 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Author Profiling Tracks at FIRE
No full text[EN] Benchmarking activities are vital for fostering research and addressing new challenging problems. During the last 10 years of the FIRE initiative we have been involved in the organization of more than ten tracks, with the aim of the creation of new resources in several languages that were made available to the research community. This allowed to compare the new several approaches on the same datasets. In this chapter we will focus on the description of three author profiling tracks, on their data creation as well as the results analysis.The work on the author profiling data in Arabic was made possible by NPRP Grant #9-175-1-033 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authorsRosso, P.; Rangel Pardo, FM. (2020). Author Profiling Tracks at FIRE. SN Computer Science. 1:1-11. https://doi.org/10.1007/s42979-020-0073-1S1111Al Sukhni E, Alequr Q. 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New York: Springer; 2013. p. 1–24.Litvinova T, Litvinlova O, Zagorovskaya O, Seredin P, Sboev A, Romanchenko O. “ruspersonality”: a Russian corpus for authorship profiling and deception detection. In: Intelligence, social media and web (ISMW FRUCT), 2016 international FRUCT conference on, IEEE; 2016. pp 1–7.Litvinova T, Seredin P, Litvinova O, Zagorovskaya O, Sboev A, Gudovskih D, Moloshnikov I, Rybka R. Gender prediction for authors of Russian texts using regression and classification techniques. In: CDUD@ CLA; 2016. pp 44–53.Litvinova T, Gudovskikh D, Sboev A, Seredin P, Litvinova O, Pisarevskaya D, Rosso P. Author gender prediction in Russian social media texts. In: Conference on analysis of images, social networks, and texts, AIST-2017, IEEE; 2017. pp 1101–1106.Litvinova T, Rangel F, Rosso P, Seredin P, Litvinova O. Overview of the rusprofiling pan at fire track on cross-genre gender identification in Russian. 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Determinants influencing fishermen’s willingness-to-participate and willingness-to-pay for conservation of small indigenous fishes: a model-based insight from Indian Sundarbans
No full textSmall indigenous fishes (SIF) play a crucial role in supporting the livelihoods and nutritional security of the rural population in Southern Asia. However, their abundance and diversity are under threat due to overexploitation and profitable extensive aquaculture, resulting in a sharp decline, particularly in India. Unfortunately, conservation strategies for SIF have received little attention from researchers, making it imperative to understand stakeholders’ decision-making processes to develop effective conservation strategies. This article aims to quantitatively identify the factors that influence fishermen’s intention to participate in and pay for SIF conservation efforts. The study utilizes questionnaire-based survey data from 100 households engaged in local fisheries in the rural Indian Sundarbans. To gain critical insight into fishermen’s decision processes, a bivariate logistic Generalized Additive Model is employed, focusing on willingness-to-participate and willingness-to-pay for SIF conservation. The study’s results indicate that several factors significantly influence fishermen’s willingness-to-participate in conservation efforts. These include Literacy, Conservation awareness, and Occupation. On the other hand, Conservation awareness and Household income are identified as significant determinants of fishermen’s willingness-to-pay for SIF conservation initiatives. One intriguing finding of the research is the identification of a nonlinear response-age curve for both willingness-to-participate and willingness-to-pay, as well as their interaction. Notably, the 45-50 years old age group emerged as the most likely implementers of small indigenous fish conservation strategies, suggesting that targeting this age group in conservation programs could yield positive outcomes. The study underscores the importance of various conservation strategies to bolster SIF preservation in the region. Recommendations include increasing and extending conservation awareness programs, specifically targeting suitable age-group individuals with appropriate education, household income, and occupation. These strategies are vital for formulating effective conservation guidelines that align with the specific needs and characteristics of the region. In conclusion, this research sheds light on the factors influencing fishermen’s participation and willingness to financially support the conservation of small indigenous fish in the rural Indian Sundarbans. The findings contribute valuable insights for policymakers, conservationists, and stakeholders, emphasizing the urgency of sustainable measures to safeguard SIF populations and ensure the continued livelihoods and nutritional security of the local communities.Water Resource
Münster Conference on Biomolecule Analysis, Nov. 7, 2018:Proceedings
No full textThe Münster Conference on Biomolecule Analysis 2018 focused on thin-layer chromatography (TLC) in conjunction with mass spectrometry (MS). In a special workshop on TLC-MS, organized by the companies Waters, Andrew Alliance, MSC Consult, Camag and Merck, attendees could watch live experiments and see instruments in action. A historical overview about TLC was given by Teresa Kowalska, an expert in the field and author of a book series on the topic. Furthermore, the inventor of the TLC-extractor, Heinrich Luftmann, discussed the development of his device, which has been commercialized. High-ranking speakers from the TLC field reported about their application of the technique in their research. The conference also provided a platform for companies to showcase their products and interact with customers in workshops. The international event successfully met the increasing interest in protein analysis technologies and provided a valuable information source in particular for Ph.D. students.Since 2004, the Core Unit Proteomics (CUP) of the Interdisciplinary Center for Clinical Research Münster has organized the event as an annual series of bioanalytical conferences.Die Münster Conference on Biomolecule Analysis 2018 fokussierte sich auf die Dünnschichtchromatographie in Verbindung mit Massenspektrometrie. In einem Workshop, der von den Firmen Waters, Andrew Alliance, MSC Consult, Camag und Merck organisiert wurde, konnten die Teilnehmer Experimente live beobachten. Der Hauptvortrag wurde von einer Expertin in der TLC und Autorin einer Buchserie zum Thema, Teresea Kowalska, gehalten. Außerdem sprach der Erfinder des TLC-Extraktors, Heinrich Luftmann, über die Entwicklung seines Gerätes, das kommerzialisiert wurde. Die Konferenz bot auch eine Plattform für Firmen, um ihre Produkte vorzustellen. Das internationale Ereignis bediente das wachsende Interesse an Proteinanalytik und war eine wertvolle Informationsquelle insbesondere für Doktoranden. Die Konferenz wird seit dem Jahre 2004 von der Core Unit Proteomics des Interdisziplinären Zentrums für Klinische Forschung Münster organisiert.</p
Münster Conference on Biomolecule Analysis, Nov. 7, 2018:Proceedings
No full textThe Münster Conference on Biomolecule Analysis 2018 focused on thin-layer chromatography (TLC) in conjunction with mass spectrometry (MS). In a special workshop on TLC-MS, organized by the companies Waters, Andrew Alliance, MSC Consult, Camag and Merck, attendees could watch live experiments and see instruments in action. A historical overview about TLC was given by Teresa Kowalska, an expert in the field and author of a book series on the topic. Furthermore, the inventor of the TLC-extractor, Heinrich Luftmann, discussed the development of his device, which has been commercialized. High-ranking speakers from the TLC field reported about their application of the technique in their research. The conference also provided a platform for companies to showcase their products and interact with customers in workshops. The international event successfully met the increasing interest in protein analysis technologies and provided a valuable information source in particular for Ph.D. students.Since 2004, the Core Unit Proteomics (CUP) of the Interdisciplinary Center for Clinical Research Münster has organized the event as an annual series of bioanalytical conferences.Die Münster Conference on Biomolecule Analysis 2018 fokussierte sich auf die Dünnschichtchromatographie in Verbindung mit Massenspektrometrie. In einem Workshop, der von den Firmen Waters, Andrew Alliance, MSC Consult, Camag und Merck organisiert wurde, konnten die Teilnehmer Experimente live beobachten. Der Hauptvortrag wurde von einer Expertin in der TLC und Autorin einer Buchserie zum Thema, Teresea Kowalska, gehalten. Außerdem sprach der Erfinder des TLC-Extraktors, Heinrich Luftmann, über die Entwicklung seines Gerätes, das kommerzialisiert wurde. Die Konferenz bot auch eine Plattform für Firmen, um ihre Produkte vorzustellen. Das internationale Ereignis bediente das wachsende Interesse an Proteinanalytik und war eine wertvolle Informationsquelle insbesondere für Doktoranden. Die Konferenz wird seit dem Jahre 2004 von der Core Unit Proteomics des Interdisziplinären Zentrums für Klinische Forschung Münster organisiert.</p
