Fetal congenital anomalies among consanguineous and non consanguineous marriage pregnant women attending in Bangabandhu Sheikh Mujib medical university

Background: Consanguineous marriage has been described as an important factor contributing to increased congenital malformations. Congenital anomalies began to emerge as one of the major childhood health problems and refers to any malformations that occur in a developing fetus. The aim of the study was to assess fetal congenital anomalies among consanguineous and non-consanguineous pregnant marriages.Methods: An observational study design was adopted. Setting: Data were collected from the fetal medicine unit at Bangabandhu Sheikh Mujib medical university, Dhaka, Bangladesh during the period, from April 2017 to March 2018. Sample: A total sample was 100 pregnant women (Consanguineous and non-consanguineous with fetal congenital anomalies) were recruited according to certain criteria. Two tools were used as materials. Structured interview tool which entailed socio-demographic data; medical history, past obstetrical history, and ultrasonographic fetal assessment record.Results: More than half of the fetuses in the consanguineous marriage group had multiple affected systems compared to one-quarter of fetuses in the non-consanguineous marriage group (68 and 24% respectively). In this study highly statistically, significant differences were found in central nervous system anomalies, followed by genitourinary, musculoskeletal and nonimmune hydrops fetalis. Prevalence of hydrocephalus was higher in the consanguineous marriage group compared to the non-consanguineous group, while the frequency of hydronephrosis was higher in non-consanguineous marriage group than consanguineous marriage group. Ubiquity of non-immune fetal hydrops was also higher in the non-consanguineous marriage group.Conclusions: The most affected system of the fetus was CNS, followed by the gastrointestinal, urinary, and Musculoskeletal systems. Consanguineous couples are recommended to have genetic counseling, premarital examination, and screening about hereditary diseases

Screening for cervical cancer (By VIA Test) among selected garments worker in Chattogram, Bangladesh

Background: Bangladesh is a densely populated country of South East Asia with low resource setting where cervical cancer is the 2nd leading cause of female cancer. In more than 80% cases are diagnosed at advanced and inoperable stage. Regarding socio demographic context of this country VIA has been introduced as a screening method for cervical cancer which is most simple, cost effective, and acceptable test for all women. In Bangladesh among 3 million garment workers more than 80% are women. The objective of this study was to identify prevalence of VIA positive cases among garment workers. So that it can reduce the incidence of cervical cancer in Bangladesh. Methods: It was a cross–sectional observational study conducted in some selected garment factories in Chattogram city of Bangladesh from January 2021 to July 2021, where we enrolled 534 female workers for VIA test. Results: Among all the respondents 56% were 30 years or younger, 38% were aged between 31 to 40 years. Among 534 participants, 44.9% completed primary education, 37.3% were smoker and 34.5% had their children at early age. Majority (86.7%) had excessive whitish discharge. Post coital bleeding and irregular bleeding was 2.6% and 2.2% respectively. Considering awareness, 61.8% had idea about cervical cancer, only 1.1% had undergone VIA test in the past. In our study we found 2.4% of participants were VIA positive cases. Conclusions: It is important to include the garment workers, while making public health policies and implementation of cervical cancer control program

Factors associated with the prevalence of diseases in the scalp: a prospective study in Mugdha Medical College and Hospital, Dhaka, Bangladesh

Background: The scalp skin is distinct from other areas of the body due to its unique characteristics, including the density of hair follicles and the high rate of sebum production. So of creating a dark, warm, and moist environment and various types of diseases in the scalp are usually occur. Methods: This was a prospective cross-sectional study conducted at the Department of Dermatology in Mugdha Medical College and Hospital during January, 2023 to June, 2023. A total of 60 clinically diagnosed scalp diseases patients were enrolled in this study. The collected data were analysed using Statistical Package for Social Sciences (SPSS) software, version-23.0. The ethical clearance of this study was obtained from the Institutional Review Board (IRB) of Mugdha Medical College and Hospital, Dhaka, Bangladesh. Results: A total of 60 clinically diagnosed scalp diseased OPD patients aged 1 to 60 years were enrolled in this study. Among the patients, 30 (50%) were male and 30 (50%) were female. According to multinomial logistic regression, the major factors contributed to exposing the diseases on scalp were age, sex, educational level, occupation, socio-economic condition, family history and behaviour (OR>1 or OR<1). Conclusions: This study prevailed, Age, sex, behaviour, family history, occupation, education level, socio-economic condition, hygiene, associated systemic diseases, hair grooming are the factors associated with the prevalence of diseases on the scalp of humans

Traffic Participants Detection and Classification Using YOLO Neural Network

One of the most important requirements for the next generation of traffic monitoring systems, autonomous driving technology, and Advanced Driving Assistance Systems (ADAS) is the detection and classification of traffic participants. Although in the areas of object detection and classification research, tremendous progress has been made, we focused on a specific task of detecting and classifying traffic participants from traffic scenarios. In our work, we have chosen a Deep Convolutional Neural Networks-based object detection algorithm – YOLOv4 (You Only Look Once Version 4) to detect and classify traffic participants accurately with fast speed. The main contribution of our work included: firstly, we built a custom image dataset of traffic participants (Car, Bus, Truck, Pedestrian, Traffic light, Traffic sign, Vehicle registration plate, Motorcycle, Ambulance, Bicycle wheel). After that, we run K-means clustering on the dataset to design anchor box, which is utilized to adapt to various small and medium scales. Finally, trained the network for the mentioned objects and tested our network in several driving conditions (daylight, low light, high traffic, foggy, rainy, etc.). We got the results reached a mean Average Precision (mAP) up to 65.95% and the speed was around 0.054 s

Evaluation of the Stripping Performance of Monochlorotriazine/Vinyl Sulphone Reactive Dyes with a Reductive Stripping Agent

The wet processing industry experiences various problems, such as the faulty and uneven shade of dyeing, colour patch formation on the surface of dyed fabric, etc. during the dyeing and subsequent processing of textile materials. Stripping is considered a process that helps to reuse faulty dyed fabrics by minimizing dyeing faults. The aim of this paper is to evaluate the effectiveness of stripping agents and the quality of stripped cotton knit fabrics that were coloured using bi-functional (monochlorotriazine/vinyl sulphone) reactive dyes. First, the trichromatic combination of Drimarene Yellow CL2R, Drimarene Red CL5B and Drimarene Blue HFRL dyes was used to dye fabrics in two different shade percentages, namely light shade (0.3% owf) and dark shade (3.0% owf). Consequently, stripping was carried out using varying concentrations of stripping chemicals (hydrose (Na2S2O4) and caustic soda (NaOH)) and process temperatures. Stripped fabrics were assessed after measuring the weight loss percentage, strength loss percentage, whiteness index and stripping efficiency. The results of that assessment showed a relatively better stripping performance with the chemical concentration of 5 g/L hydrose and 5 g/L caustic soda at 100 °C. Under this condition, the value of the whiteness index and stripping efficiency were adequate, with a minimum weight loss percentage and strength loss percentage. The stripping performance for the light shade (0.3% owf) fabric was deemed to be better than that for the dark shade (3.0% owf) fabric

Human papillomavirus genotype distribution among colposcopy diagnosed cervical precancerous lesions

Background: Cervical cancer (CC) is one of the primary causes of gynaecological cancer death. Cervical cancer is the fourth most frequent cancer worldwide, and it is the second most common cancer in Bangladesh. The stage of cervical cancer at diagnosis has a significant impact on survival. Cervical cancer mortality is high in Bangladesh due to late detection and limited management facilities. The aim of the study was to determine the pattern of human papillomavirus (HPV) genotype among colposcopy diagnosed cervical precancerous lesions. Methods: This cross-sectional study was conducted in the department of gynecological oncology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Shahbag, Dhaka. Total of 142 women attending the colposcopy clinic of BSMMU. Results: The mean age was found 38.7±7.3 years with a range from 30 to 60 years. 10 (7.0%) patients were found HPV 16 positive followed by 1 (0.7%) HPV 18, another hr-HPV 3 (2.1%), HPV 16 and other hr-HPV 3 (2.1%) and HPV 16, HPV 18 and other hr-HPV 1 (0.7%). Regarding colposcopy reports 99 (69.7%) patients had CIN I, 33 (23.7%) had CIN II and 10 (7.0%) had CIN III identification by colposcopy reports. 61 (43.0%) patients had CIN I followed by 15 (10.6%) had CIN II, 11 (7.7%) had CIN III, 7 (4.9%) had CIS, and 48 (33.8%) had normal or squamous metaplasia by histopathological reports. Conclusions: It can be concluded that among all the 14 hr-HPV genotype HPV 16 is more prevalent while HPV18 prevalence was very low in colposcopy diagnosed cervical precancer cases. The study revealed HPV16 was more common among high grade lesions

Type-2 Diabetes Mellitus Individuals Carry Different Periodontal Bacteria

Objective: To identify etiologic microbiota associated periodontal diseases among diabetes patients and the factors related to the most commonly identified bacteria species. Material and Methods: Periodontal plaque samples from 11 diabetic participants and 13 non-diabetic controls were collected to assess their aerobic and anaerobic bacterial growth. Different distinct colonies were identified by microscopic and 16srDNA sequencing. Pearson's chi-square tests were conducted to examine any association between categorical variables. Results: The diabetic subjects revealed a more intense plaque formation with a mean plaque index of 2.4 compared to 1.8 in non-diabetics. A total of 86 bacteria were isolated from 24 plaque samples, 44 were aerobic, and 42 were anaerobic. Only aerobic isolates, 22 from diabetic patients and 22 from non-diabetic patients, were evaluated in these analyses. Bacillus spp. (B. cereus mainly) and Klebsiella spp. (K. pneumoniae, K. aerogenes, K. oxytoca) were detected markedly higher in non-diabetic individuals than in diabetic subjects (p=0.026 and p=0.021, respectively). Some bacteria were only identified in the dental plaque of diabetic individuals, namely, Bacillus mojavensis, Enterobacter cloacae, Proteus mirabilis, Staphylococcus epidermidis, Staphylococcus hominis, Staphylococcus pasteuri, Streptococcus mutans, and Streptococcus pasteurianus. The presence of acid reflux and jaundice were significantly associated with the most common bacterial isolate, namely Bacillus spp., with the p-values of 0.007 and 0.001, respectively. Conclusion: Type-2 diabetes mellitus is associated with a higher amount of dental plaques. Periodontal plaque samples from diabetic and non-diabetic subjects possess differential microbial communities. Diabetic plaques contain more versatile microbes predominated by gram-positive streptococci and staphylococci

Type-2 diabetes mellitus individuals carry different periodontal bacteria

Objective: To identify etiologic microbiota associated periodontal diseases among diabetes patients and the factors related to the most commonly identified bacteria species. Material and Methods: Periodontal plaque samples from 11 diabetic participants and 13 non-diabetic controls were collected to assess their aerobic and anaerobic bacterial growth. Different distinct colonies were identified by microscopic and 16srDNA sequencing. Pearson's chi-square tests were conducted to examine any association between categorical variables. Results: The diabetic subjects revealed a more intense plaque formation with a mean plaque index of 2.4 compared to 1.8 in non-diabetics. A total of 86 bacteria were isolated from 24 plaque samples, 44 were aerobic, and 42 were anaerobic. Only aerobic isolates, 22 from diabetic patients and 22 from non-diabetic patients, were evaluated in these analyses. Bacillus spp. (B. cereus mainly) and Klebsiella spp. (K. pneumoniae, K. aerogenes, K. oxytoca) were detected markedly higher in non-diabetic individuals than in diabetic subjects (p=0.026 and p=0.021, respectively). Some bacteria were only identified in the dental plaque of diabetic individuals, namely, Bacillus mojavensis, Enterobacter cloacae, Proteus mirabilis, Staphylococcus epidermidis, Staphylococcus hominis, Staphylococcus pasteuri, Streptococcus mutans, and Streptococcus pasteurianus. The presence of acid reflux and jaundice were significantly associated with the most common bacterial isolate, namely Bacillus spp., with the p-values of 0.007 and 0.001, respectively. Conclusion: Type-2 diabetes mellitus is associated with a higher amount of dental plaques. Periodontal plaque samples from diabetic and non-diabetic subjects possess differential microbial communities. Diabetic plaques contain more versatile microbes predominated by gram-positive streptococci and staphylococci