Bengali & Banglish: A monolingual dataset for emotion detection in linguistically diverse contexts.

The ever-evolving global landscape of communication, driven by Information Technology advancements, underscores the importance of emotion detection in natural language processing. However, challenges persist in interpreting emotions within linguistically diverse contexts, notably in low-resource languages like Bengali, compounded by the emergence of Banglish. To address this gap, we present "Bengali & Banglish," an extensive dataset comprising 80,098 labelled samples across six emotion classes. Our dataset fills a void in fine-grained emotion classification for Bengali and pioneers in emotion detection in Banglish. We achieve significant performance metrics through meticulous annotation and rigorous evaluation, including a weighted F1 score of 71.30% for Bengali and 64.59% for Banglish using BanglaBERT. Also, our dataset facilitates Bengali-to-Banglish Machine Translation, contributing to the advancement of language processing models. Furthermore, our dataset demonstrates a high Cohen's Kappa score of 93.5%, affirming the reliability and consistency of our annotations. This research underscores the importance of linguistic diversity in NLP and provides a valuable resource for enhancing Emotion Detection capabilities in Bengali and Banglish across digital platforms.

Disease of the past re-emerging in modern Australian society.

A 28-year-old man with fever, atraumatic lower limb pain and rash was noted to have multiple areas of ecchymosis involving both lower limbs. He was anaemic and also had a grossly swollen left leg. Differential diagnoses of compartment syndrome, vascular tear, platelet and clotting factor disorders, vasculitis and myositis were ruled out. Scurvy was only considered after failing to reach a diagnosis. A dietary history revealed consumption of a restricted diet with no fresh fruits or vegetables. Diagnosis was supported by an undetectable vitamin C level in blood and a rapid improvement of symptoms on oral vitamin C replacement. Prevalence of vitamin C deficiency in developed countries is also discussed.

Seroprevalence of bovine viral diarrhea virus in crossbred dairy cattle in Bangladesh.

AIM: The study was conducted to determine the seroprevalence of bovine viral diarrhea virus (BVDV) and hematological features in crossbred dairy cattle in Chittagong, Bangladesh. MATERIALS AND METHODS: The antibody against BVDV in crossbred dairy cattle serum was detected by indirect enzyme-linked immunosorbent assay. The association of different categorical variables in the prevalence of BVDV has been studied. Blood samples were collected and analyzed to know the hematological variations in the study population. RESULTS: The overall seroprevalence of BVDV in the study area was 51.1% (95% confidence interval [CI], 40.5-61.5). Among different physiological stages of animals, the highest 57.1% (95% CI, 42.2-71.2) prevalence was in case of non-pregnant animals. Aborted cows were found to be significantly (p<0.05) more seropositive 77.8% (95% CI, 52.4-93.6) than the non-aborted cows (77.8%, 95% CI, 52.4-93.6, compared to 44.7%, 95% CI, 33.3-56.6, respectively). Cows having the history of retained placenta were found more positive than without the history of retained placenta (63.2%, 95% CI, 38.4-83.7, compared to 54.7%, 95% CI, 40.4-68.4, respectively). Among the animals of different age groups, BVDV seroprevalence was higher 61.3% (95% CI, 42.2-78.2) in animals of more than 3 years up to 5 years, whereas 32% was in case of 0-1-year-old. Significant variation found in different geographical areas of the study area. Hematological analyses have shown variation between the BVDV positive and negative animals. CONCLUSION: Seroprevalence of BVDV found to be high in the study area is also economically important and cause significant damage to the production industry. Therefore, it is necessary to conduct effective control measures to reduce the burden of BVDV.