Keratouveitis as a First Presentation of Relapsing Polychondritis

This paper provides images and a description of an unusual manifestation of relapsing polychondritis presenting initially with isolated ocular signs, mimicking infective keratitis. We present an interventional case report of a 75-year-old man who presented with marked left ocular irritation and photophobia. Ophthalmological examination disclosed corneal intrastromal infiltrate and hypopyon which failed to respond to intensive antimicrobial drops. He later went on to develop bilateral auricular chondritis. Relapsing polychondritis was diagnosed. Treatment with topical and oral corticosteroids resulted in marked improvement of the corneal infiltrate and resolution of the auricular inflammation. The paper highlights the importance of considering connective tissue inflammatory conditions in any stromal keratitis unresponsive to antimicrobial treatment

Demographic Profile of the Customers and Their Level of Satisfaction: A Study on Islami Bank Bangladesh Ltd. (IBBL)

The Study investigates the customer satisfaction level exposed by different demographic group of customers. The study also identifies the relative importance assigned to different selection criteria by customers  while choosing  Islami Bank Bangladesh Ltd. (IBBL), which was established in 1983 and the pioneer in Islamic Banking in Bangladesh. From comprehensive analysis, the study identifies a number of key findings that might help IBBL management for formulating their future competitive strategies. Firstly, the study identifies that customers irrespective of different demographic segments (gender, marital status, age, income level, education level and religion) are mostly satisfied with IBBL. Secondly, satisfaction level of customers does not significantly vary among different demographic group as measured through chi-square test and finally, ‘compliance to Islamic shariah’ i.e. religious principles followed by ‘corporal efficiency’ as exposed by fast, efficient service and experienced management team  are the top most two bank selection criteria  as viewed by IBBL clients. Key words: Customer Satisfaction, Demographic profile, Bank Selection Criteria, Islamic Banking

Evaluation of Different Levels of Nitrogen and Zinc Fertilizer on Morphological Characters and Yield of Rapeseed

Abstract: The experiment was undertaken during rabi season, November 2011 to February 2012 to examine the effects of different levels of nitrogen and zinc fertilizer on morphology and yield of rapeseed Brassica campestris L. variety BARI sarisha 15. In this experiment, the treatment consisted of four different N levels viz. (N0: 0, N1: 60, N2:120, and N3:180 Kg N/ha) and three different levels of Zn viz. (Zn0:0, Zn1:1 and, Zn2:2 Kg/ha) using randomized complete block (RCBD) with three replications. Nitrogen showed significant variations on both morphological characters, yield contributing parameters and yield of rapeseed such as plant height, number of leaves, number of primary branches, length of inflorescence, seed yield and harvest index. Zinc did not show significant difference on morphological characters as nitrogen. But the significant differences were found on yield contributing characters and yield of rapeseed with zinc fertilization. The interaction between nitrogen and zinc showed statistical variations on all characters including morphological and yield contributing parameters and yield of rapeseed. The treatment combination, N2Zn2 (120 Kg N/ha along with 2 Kg Zn/ha) produced the highest seed yield (4.22 t/ha) whereas the lowest seed yield (0.37 t/ha) recorded from N0Zn0 treatment combination with nitrogen and zinc fertigation. Therefore, the experimental results suggested that both nitrogen and zinc have contribution to improve seed yield of rapeseed by altering reproductive characters

CT evaluation of malignant PNS mass and histopathological correlation

Background: Computed tomography (CT) is the gold standard for exact delineation of paranasal sinus(PNS) disease. There are many radiologically important diseases of paranasal sinuses. Objective: to evaluate the malignant PNS mass by computed tomographic image and the findings of this modality were compared with histopathological result.Methods: It was a cross sectional type of study and carried out with suspected PNS mass having patients during January 2009 to Octo­ber 2010.Results: The mean age of the patients was 35.95 ± 18.24 and common complaints of the patients were nasal obstruction (73.7%) and maximum 53.9% patients had PNS mass in maxillary sinuses. Out of 76 cases 21.1 % found malignant mass on CT and after histopathology 19. 7% had malignant mass. Out of all cases 14 were diagnosed as malig­nant PNS mass by CT scan and confirmed by histopathological evaluation and they were true positive. Two cases were diagnosed as malignant PNS mass by CT scan but not confirmed by histopathological findings and they were false positive. Of 60 cases, which were diagnosed by CT scan, one was confirmed as malignant and 59 were benign by histopa­thology. They were false negative and true negative respectively. Sensitivity of CT scan to diagnose malignant PNS mass was 93.3%, specificity 96.7%, positive predictive value 87.5%, negative predictive value 98.3% and accuracy 96.1 %. Conclusion: CT scan of the malignant para nasal sinus mass provides more information and better image quality and CT diagnosis correlate well with the findings of histopathology

Effect of Corpora on Classification of Fake News using Naive Bayes Classifier

At the present world, one of the main sources of the news is an online platform like different websites and social media i.e. Facebook, Twitter, Linkedin, Youtube, Instagram and so on. However, due to the lack of proper knowledge or deliberate activity of some cunning people, fake news is spreading more than ever. People in general, struggling to filter which news to trust and which one to discard. Even the sly people take advantage of the situation by spreading false news and misleading the people. Natural Language Processing, one of the major branch of Machine Learning, the wealth of research is remarkable. However, new challenges underpinning this development. Here in this work, Naive Bayes Classifier, a Bayesian approach of Machine Learning algorithm has applied to identify the fake news. We showed, besides the algorithms, how the wealth of corpora can assist to improve the performance. The dataset collected from an open-source, has been used to classify whether the news is authenticated or not. Initially, we achieved classification accuracy about 87% which is higher than previously reported accuracy and then 92% by the same Naive Bayes Algorithm with enriched corpora

Effect of acrylic acid on the properties of polyvinylpyrrolidone hydrogel prepared by the application of gamma radiation

Hydrogels based on polyvinylpyrrolidone (PVP) networks grafted with acrylic acid (AAc) was prepared by using γ-rays from a Co-60 source at room temperature. The parameters like effect of radiation dose and concentration of AAc were studied. The properties such as gel content, swelling behavior and thermal stability were also evaluated. The result indicated that gel content of hydrogel increased with increased radiation dose and it reached a maximum value at 25 kGy radiation dose. Gel content also increased with increased concentration of AAc in the feed solution. Moreover, swelling ratio decreased with increased radiation dose, but increased with increased concentration of AAc. Water absorption of hydrogel increased from ~1400 to ~3800% for the range of AAc concentration 0 to 1.5% at 25 kGy. It was also observed that the melting temperature of hydrogel depended on concentration of AAc. The fourier transform infra-red (FTIR) spectroscopy investigation of hydrogel was carried out. The prepared hydrogel was applied to adsorb dye from aqueous medium.Keywords: Hydrogel, polyvinylpyrrolidone, acrylic acid, swelling behavior, gel conten

TTRank: A Temporal Model to Rank Online Twitter Users

Twitter is an online social network or a news media where users can post their desirable topical interests in the form tweets. This is a networking model where each user can choose who can follow her and whom she wants to follow. We can find the users who are very active in the social networks and consider them as influential users. This research addresses on Temporal Twitter Ranking (TTRank) to rank the influential users in Twitter. We apply Twitter-LDA topic modeling method to find the users’ topical interests. The time interval is an important factor as users’ topical interest can change over time i.e. users’ have different degree of topical interests at different timeinterval. So we give more emphasize on users’ most recent tweets. Our proposed approach also considers the impact of “Follower Influence” and “Retweet Influence”. The top influential users have been detected across different time intervals based on all the above mentioned factors and classified as “Highly Influential” and “Potential’ users. Experiment results on a real Twitter dataset demonstrate the efficacy of the proposed system

Childhood Mortality Due to Drowning in Rural Matlab of Bangladesh: Magnitude of the Problem and Proposed Solutions

Drowning is an important cause of mortality among children in rural Bangladesh. Children aged 1–4 year(s) are at a high risk of death from drowning. Although deaths of children due to drowning in Bangladesh are acknowledged as an important cause of death, little effort has been made to address the issue of preventing deaths from this cause. This study has attempted to describe the problem and suggests possible prevention strategies, which may contribute to reducing childhood mortality from drowning. Data presented in this study were collected from Matlab where ICDDR, B has been maintaining a demographic surveillance since 1966. During the study period from 1985 to 2000, 989 deaths from drowning were reported, of which 796 (80.5%) were children in the age-group of 1–4 year(s), 48 (4.8%) were in the age-group of less than one year, and 145 (14.7%) in the age-group of 5–19 years. During 1985–2000, death rate per 1,000 children due to all causes among children of 1–4-year age-group decreased appreciably from 20.7% to 5.2%, while drowning-related deaths did not. Forty-five percent (n=359) of drowning-related deaths occurred in ponds, 16.8% (n=134) in ditches, 8.1% (n=64) in canals, and 4.4% (n=35) in rivers. The sites of more than 25% of drowning-associated deaths were not recorded. Analysis of seasonal variation revealed that most deaths due to drowning occurred during April-October, i.e. mostly during the monsoon months. It was also observed that the majority (67%) of mothers of victims had no formal education. Deaths due to drowning were mostly associated with children aged 1–4 year(s) and were 20% more common among boys than among girls (odds ratio=1.2, 95% confidence interval 1.04–1.38, p<0.012). The paper recommends some interventions to reduce the number of deaths due to drowning in rural Bangladesh, which include: (a) increasing awareness among mothers and close family members about the risk of drowning, (b) door-fencing, and (c) filling of unused ditches and water holes around households

Amoxyclav Resistance Pattern and Aerobic Bacterial Profile in Diabetic Foot Infection Patients in Bangladesh

Introduction: The goal of this study was to determine the frequency of bacterial isolates cultured from diabetic foot infections and to assess their amoxyclav resistance and susceptibility.Methods: A total of 378 diabetic foot lesions were included in this prospective analysis. The antibiotic susceptibility pattern of bacteria isolated from foot lesions was assessed using the Kirby-Bauer disk diffusion method.Results: The most commonly isolated Gram-positive bacteria were Staphylococcus aureus, followed by Enterococcus spp. and CoNS. The most commonly isolated Gram-negative bacteria were Klebsiella spp., Pseudomonas spp., Proteus spp., Escherichia coli, Enterobacter spp., Citrobacter spp., Citrobacter freundii, and Proteus vulgaris. Amoxyclav was found to be 100.00% resistant against Pseudomonas aeruginosa and followed by Enterococcus spp. (89.50%), Proteus spp. (87.50%), Staphylococcus aureus (84.30%), Escherichia coli (81.50%), Klebsiella spp. (70.50%) and Enterobacter spp. (69.20%).Conclusion: The present study confirmed the prevalence of amoxyclav drug resistant pathogens (84.90%) in diabetic foot ulcers. The diverse bacteria infecting the wound must be evaluated, as well as the antibiotic susceptibility patterns of the isolates from the infected lesion. This information is critical for selecting the right medications, eliminating resistance trends, and lowering healthcare costs. Keywords: Diabetic Foot Infection, Polymicrobial Infections, Amoxyclav DOI: 10.7176/JHMN/94-03 Publication date:October 31st 202

Polder Tidings, Volume 1, Number 1, May 2016

United States Agency for International Developmen