Computational Sarcasm Analysis on Social Media: A Systematic Review

Sarcasm can be defined as saying or writing the opposite of what one truly wants to express, usually to insult, irritate, or amuse someone. Because of the obscure nature of sarcasm in textual data, detecting it is difficult and of great interest to the sentiment analysis research community. Though the research in sarcasm detection spans more than a decade, some significant advancements have been made recently, including employing unsupervised pre-trained transformers in multimodal environments and integrating context to identify sarcasm. In this study, we aim to provide a brief overview of recent advancements and trends in computational sarcasm research for the English language. We describe relevant datasets, methodologies, trends, issues, challenges, and tasks relating to sarcasm that are beyond detection. Our study provides well-summarized tables of sarcasm datasets, sarcastic features and their extraction methods, and performance analysis of various approaches which can help researchers in related domains understand current state-of-the-art practices in sarcasm detection.Comment: 50 pages, 3 tables, Submitted to 'Data Mining and Knowledge Discovery' for possible publicatio

Voice mail application for visually impaired persons

Technology-based applications are developed day by day in the whole world. But more of those are unusable for the visually impaired people. One of such applications, email has become an important and significant part of formal communication in the professional world. Thus, Voice Mail turns out to be an application through which visionless people can easily send or receive emails. The application uses “Voice to Text” and “Text to Voice” conversion to be usable for the visually impaired people. The system at first takes voice signals from the users as inputs, processes the signals and then converts that voice signals into the text. After that a text processing method is applied to convert the text into voice. Finally, the gmail server is used to connect the server with generating address to send or receive any mail. This application is useful for not only blind people but also for the normal people who always remain busy and doesn’t have time to type in keyboard. Moreover, this application is very much helpful and efficient in time utilization

Do the dietary and lifestyle practices make the private medical students overweight: A cross-sectional study in Bangladesh?

Introduction: Increased mechanization and change in the food patterns are leading to physical inactivity and more energy intake globally. That’s why, obesity and overweight are no longer confined to the industrialized countries; it has spread to the developing countries as well. In Bangladesh also over-nutrition is increasing alarmingly. As the future doctors, medical students should adopt healthy dietary and lifestyle practices from the very beginning of their youth for contributing more effectively and efficiently to the country’s healthcare. Objectives: The study assessed the prevalence of overweight, the dietary and lifestyle determinants of overweight among the students of an urban private medical college of Bangladesh. Methodology: A cross-sectional study was conducted in Ibrahim Medical College, a private medical college in Dhaka city. Data was collected through self-administered questionnaires and anthropometric measurements. Data Analysis was done by SPSS version 17.0 Results: The Prevalence of overweight among the medical students was found to be 27.16% (Male 39% and female 22%) . 58% of the respondents had positive family history of overweight/obesity and around 70% of them had positive family history of Type 2 Diabetes and Hypertension. The dietary factors associated with overweight were increased frequency of eating at fast food shops and drinking sweetened tea or coffee. Among the lifestyle factors, liberal family rules regarding food, prolonged gap (?120 minutes) between waking up and having breakfast, taking meal while watching TV or using computer and inadequate sleep (<7 hours of sleep) were found to be associated with being overweight. Binary logistic regression concludes that positive family history of overweight/obesity; inadequate sleep and a prolonged gap between waking up and having breakfast were significantly contributing to be overweight. Conclusion: The prevalence of overweight among the urban private medical college students was found to be higher than the available data of overweight in Bangladesh. Along with dietary habits, lifestyle practices are also becoming more and more important determinants of being overweight. The medical students should be counseled and advised to bring positive attitude towards healthy lifestyle and dietary practices. Keywords: Non-communicable disease, overweight, obesity, medical students, BM

Domestic accidents in a rural community of Bangladesh: A cross-sectional study on their incidence and characteristics.

In a developing country like Bangladesh knowledge about domestic accidents is sparse. But accident is one of the major causes of morbidity and mortality in both developed and developing countries. [1] The relationship between domestic accidents and human health is direct and associated with a chain of socio-economic consequences. In this paper we try to bring out the patterns of domestic accidents and their characteristics in a rural community of Bangladesh. A questionnaire survey was conducted on 297 households of Shitpara village under Bormi union of Shreepur Upazilla constituting 1171 family members to determine the prevalence and characteristics of household accidents. The collected data were then analyzed by SPSS 16. (Statistical package for social science)A total of 171 domestic accidents had occurred during one year period with a prevalence of 146.02/1000 population. Majority of the victims are male (52.6%). Commonest household accident was fall (50.9%) followed by Cut injury (22.2%) and Burn (11.7%).Health education program aimed at prevention and first aid treatment of domestic accidents and proper use of personal protective measures are recommended. Keywords: Domestic accidents, Bangladesh, rural area, public health

Impact of Cyclone on Livelihood Pattern in the South Western Coastal Region of Bangladesh: Pirojpur

This research was carried out to assess the impact of cyclone on livelihood pattern in Pirojpur district, Bangladesh during January to June, 2017. The study was both qualitative and quantitative type. The primary data were collected using randomly sampling method (42+42+42=126 respondents) from Tushkhali, Bhitabaria and Pattashi villages of Pirojpur district. The secondary data were collected from different journals, articles, books, official documents, thesis papers and also daily newspapers etc. From the study it was observed that monthly income of  middle (4001-8000 tk) and high (8001-above tk) income groups ware decreased by 5% and 0.92% respectively while low income people (1-4000 tk) was increased due to decrease of production after Sidr. On the other hand, expenditure ability of low and middle income groups was decreased. Sidr has created a great impact on human health, livestock, fisheries, food habit, crop production and occupation pattern of the affected people. Respondent’s houses were damaged partially (66.78%), 33.22% completely and cultivated land 28.57 % completely by Sidr in study area. Respondents of the study area said that the production of rice (8%), chili (12%), and vegetables (11%) were reduced due to saline water entrance into the crop field after Sidr. Affected people were migrated (temporary 23.10%, local 25% and internal 26.10%) from Pirojpur to Dhaka (53%), Pirojpur to other places (47%) on the post Sidr due to loss of houses, shelters, cultivated land and lack of job opportunity. Among all factors of temporary migration, water logging was the first reason of migrating people of the study area.

Platelet-rich fibrin to manage different periodontal defects combine with Flap surgery and other uses in dentistry. A descriptive review

In these days, periodontal diseases are very much common in Asian subcontinent especially in Bangladesh, due to some relevant factors that is more prevalent in this country. Most of the time patient neglect their condition and ultimately loss their teeth. Even after doing phase 1 therapy that is scaling, polishing with antimicrobial agents, it could not heal the periodontal condition with advanced bone destruction or clinical attachment loss. Therefore, after proper oral hygiene maintenance therapy, different flap surgery should consider. . In recent study, it is found that platelet rich fibrin (PRF) PREPARED From the patient’s Own blood and then placement within defect could enhance the early healing procedure. This PRF membrane is also used in a variety of discipline in dentistry, including regenerative surgery. This PRF membrane is now used in a variety of disciplines in dentistry, including regenerative surgery and enhancing early healing. The goal of this study is to critically analyze and appraise the currently available research with an emphasis on the use of PRF in regenerative periodontal surgery. An electronic search was conducted (PubMed/MEDLINE, Google Scholar, BanglaJOL, Cochrane library). Various combinations of the following keywords were used: ‘prf’, ‘prf membrane’, ‘periodontal regenerative surgery’, ‘prf in dentistry’, ‘systemic diseases and periodontitis’, ‘drawback of prf’, ‘platelet-derived growth factors’, ‘prf in oms’, ‘prf in orthodontics’. Articles were searched until August 2021 All of these studies reveal that the PRF membrane enhances the healing of various defects in a variety of periodontal diseases and in several fields of dentistry. Studies are going on pulp regeneration and socket healing after extraction with PRF in dentistry. More emphasis should have to give to the prevention of periodontal diseases as well as more concern should have to give on PRF with flap surgery to enhance healing and improve the social health of the general population by preventing tooth loss and for different research purposes on PRF in different other fields of dentistry in Bangladesh

Rethinking densely connected convolutional networks for diagnosing infectious diseases.

Due to its high transmissibility, the COVID-19 pandemic has placed an unprecedented burden on healthcare systems worldwide. X-ray imaging of the chest has emerged as a valuable and cost-effective tool for detecting and diagnosing COVID-19 patients. In this study, we developed a deep learning model using transfer learning with optimized DenseNet-169 and DenseNet-201 models for three-class classification, utilizing the Nadam optimizer. We modified the traditional DenseNet architecture and tuned the hyperparameters to improve the model's performance. The model was evaluated on a novel dataset of 3312 X-ray images from publicly available datasets, using metrics such as accuracy, recall, precision, F1-score, and the area under the receiver operating characteristics curve. Our results showed impressive detection rate accuracy and recall for COVID-19 patients, with 95.98% and 96% achieved using DenseNet-169 and 96.18% and 99% using DenseNet-201. Unique layer configurations and the Nadam optimization algorithm enabled our deep learning model to achieve high rates of accuracy not only for detecting COVID-19 patients but also for identifying normal and pneumonia-affected patients. The mode'ls ability to detect lung problems early on, as well as its low false-positive and false-negative rates, suggest that it has the potential to serve as a reliable diagnostic tool for a variety of lung diseases

Attitude towards diabetes and social and family support among type 2 diabetes patients attending a tertiary-care hospital in Bangladesh: a cross-sectional study

Background: Bangladesh has been suffering from an epidemiological transition from infectious and maternal diseases to non-communicable lifestyle-related diseases like diabetes, cardiovascular diseases, cancers etc. The burden of diabetes has been increasing rapidly due to high incidence as well as poor glycemic control leading to various macro and micro-vascular complications. In this study, we aim to assess the attitude towards diabetes and social and family support among the Bangladeshi type 2 diabetic mellitus (T2DM) patients. Methods: This was a cross-sectional study among 144 patients with T2DM at the medicine outpatient department of Dhaka Medical College Hospital (DMCH) in Dhaka, Bangladesh between 1 July and 31 July 2014. Data collection was done by interviewing patients using structured questionnaire. Understanding diabetes, education/advice received, attitude towards diabetes, family and friend support were measured by validated scales adapted from diabetes care profile. Results: This study includes a total of 144 patients (101 males and 43 females) with type 2 diabetes aged between 20 and 84 years. 87 % of the patients had inadequate blood glucose control (fasting blood sugar >7.2 mmol/L or >130 mg/dl). Statistically significant differences were observed in the mean scores of various attitude scales (i.e. positive, negative, care ability and self-care adherence scale) among patients with adequate and inadequate blood glucose control (p < 0.05). Statistically significant positive correlations were found between these three categories of social and family support. Self-satisfaction with diabetic care was significantly associated with adequate blood glucose control (p = 0.05). Conclusions: Positive attitude towards diabetes management and support from friends and family were associated with adequate diabetes management. Appropriate public health interventions should be designed to educate and motivate the family members to offer greater support to the diabetes patients

Deep Learning Based Misogynistic Bangla Text Identification from Social Media

Misogyny is characterized by hostility, hatred, aversion, intimidation, and violence against women. With the rise of social media, it has become one of the most convenient platforms for expressing woman-hating speech. As a result, misogyny is gaining appeal and societal standards are being violated. With millions of Bangladeshi Facebook users, misogyny is growing increasingly prevalent in Bangla as well. In this paper, we have proposed automatically identifying misogynistic content in Bangla on social media platforms in order to evaluate the problem's challenges. As there is no existing Bangla dataset for analyzing misogynistic text, we generated our own. We have applied various deep-learning algorithms to improve the classification of misogynistic text categories. LSTM and RNN models are used for designing the model architecture in deep learning. Models are evaluated using the confusion matrix, accuracy, and f1-scores. The results indicate that LSTM outperforms RNN in terms of accuracy by 67 %