Factors associated with food safety knowledge and practices among meat handlers in Bangladesh: a cross-sectional study.

Background Food handlers can play a vital role into reducing foodborne diseases by adopting appropriate food handling and sanitation practices in working plants. This study aimed to assess the factors associated with food safety knowledge and practices among meat handlers who work at butcher shops in Bangladesh. Methods A cross-sectional study was conducted among 300 meat handlers from January to March, 2021. Data were collected through in-person interviews using a structured questionnaire. The questionnaire consisted of three parts; socio-demographic characteristics, assessments of food safety knowledge, and food safety practices. A multiple logistic regression model was used to identify the factors associated with food safety knowledge and practices. Results Only 20% [95% confidence interval, (CI) 15.7–24.7] and 16.3% (95% CI 12.3–20.7) of the respondents demonstrated good levels of food safety knowledge and practices, respectively. The factors associated with good levels of food safety knowledge were: having a higher secondary education [adjusted odds ratio (AOR) = 4.57, 95% CI 1.11–18.76], income above 25,000 BDT/month (AOR = 10.52, 95% CI 3.43–32.26), work experience of > 10 years (AOR = 9.31, 95% CI 1.92–45.09), ≥ 8 h per day of work (AOR = 6.14, 95% CI 2.69–13.10), employed on a daily basis (AOR = 4.05, 95% CI 1.16–14.14), and having food safety training (AOR = 8.98 95% CI 2.16–37.32). Good food safety knowledge (AOR = 5.68, 95% CI 2.33–13.87) and working ≥ 8 h per day (AOR = 8.44, 95% CI 3.11–22.91) were significantly associated with a good level of food safety practice. Conclusions Poor knowledge and practices regarding food safety were found among Bangladeshi meat handlers. Findings may help public health professionals and practitioners develop targeted strategies to improve food safety knowledge and practices among this population. Such strategies may include education and sensitization on good food safety practices

VeSV- Value at the end of the Sanitation Value Chain: Final Report

Bangladesh is no stranger to composting projects using both green waste and faecal sludge (FS). There have been many initiatives over the years with varying degrees of success. Similarly there have been hundreds, if not thousands of projects to improve access to latrines, latrine use and latrine management. Again there has been a great deal of success, especially in increasing the number of latrines being built. However, a key gap regarding the safe collection and processing of the waste from the pit still remains. In cases where projects have attempted addressing this, the solution has rarely been viable on a large scale. That is where this project—VeSV—is different. The aim of this project is to provide scientific evidence to support the commercial viability of collecting and composting faecal sludge for use in agriculture and horticulture. The gap between a good idea and commercial success is bridged on this project by producing primary scientific data based on qualitative and quantitative research methods and by engaging a number of stakeholders across sectors. A rigorous research was conducted to characterize raw faecal sludge material from single pit latrines in rural Bangladesh, as the starting point to develop value across the sanitation chain from processing FS material, through adding value by recovering nutrient and finally by assessing the potential commercialization of the final product in the fertilizer market. Crucially academics, NGOs, business groups and existing fertilizer, composting and latrine management companies were involved as part of our Reference Group, which helped to develop practical engineering solutions in harmony with the right and relevant context in rural Bangladesh. Our research outcomes include the development of safe methodologies for pit emptying; the assessment of people's intentions to change current operation and maintenance practices of pit latrines at household level and their willingness to participate in commercially viable and sustainable methods for FS management; the assessment of optimised engineering process for FS stabilisation and the production of a safe, high quality fertilizer that is desirable to farmers; and the identification of potential hurdles that may obstruct the widespread adoption of business models for FS fertiliser

Red cell distribution width correlates with fatigue levels in a diverse group of patients with systemic lupus erythematosus irrespective of anaemia status

Objectives: Fatigue remains a debilitating feature of systemic lupus erythematosus (SLE). Although in some cases this may be the result of intercurrent fibromyalgia, mood disorder or untreated metabolic syndrome, in many cases the cause is unclear. The aim of this study was to investigate the relationship between fatigue and red cell distribution width (RDW), a measure of variability in erythrocyte size and volume. Method: A total of 225 patients were recruited from three clinics in England and Australia. Patients completed the Functional Assessment of Chronic Illness Therapy (FACIT) Fatigue Score or 12-item Short Form survey (SF-12) to measure fatigue, which was compared with RDW and haemoglobin. In a subgroup of 72 patients, markers of disease activity were also assessed for correlation with fatigue using univariate and multivariate analysis with fatigue as the dependent variable. Results: In all three groups, significant correlations between fatigue and RDW were observed (p<0.001; p=0.02; p<0.001 respectively) and this was preserved in multivariate analysis. There was no correlation between fatigue and haemoglobin in two groups (with the correlation between RDW and fatigue remaining significant in non-anaemic patients in the third group). In subgroup analysis, fatigue was not associated with any measures of disease activity. Conclusions: We report a reproducible, statistically significant association between RDW and fatigue levels in a diverse population of patients with SLE. The findings of this study raise the possibility of a potential novel biological basis for fatigue in those in whom there is a lack of an alternate explanation

Trends in Diagnosis and Surgical Management of Patients with Perforated Peptic Ulcer

Introduction While the laparoscopic treatment of perforated peptic ulcers (PPU) has been shown to be feasible and safe, its implementation into routine clinical practice has been slow. Only a few studies have evaluated its overall utility. The aim of this study was to investigate changes in surgical management of PPU and associated outcomes. Material and Methods The study was a retrospective, single institution, population-based review of all patients undergoing surgery for PPU between 2003 and 2009. Patient demographics, diagnostic evaluation, management, and outcomes were evaluated. Results Included were 114 patients with a median age of 67 years (range, 20–100). Women comprised 59% and were older (p<0.001), had more comorbidities (p=0.002), and had a higher Boey risk score (p=0.036) compared to men. Perforation location was gastric/pyloric in 72% and duodenal in 28% of patients. Pneumoperitoneum was diagnosed by plain abdominal x-ray in 30 of 41 patients (75%) and by abdominal computerized tomography (CT) in 76 of 77 patients (98%; p<0.001). Laparoscopic treatment was initiated in 48 patients (42%) and completed in 36 patients (75% of attempted cases). Laparoscopic treatment rate increased from 7% to 46% during the study period (p=0.02). Median operation time was shorter in patients treated via laparotomy (70 min) compared to laparoscopy (82 min) and those converted from laparoscopy to laparotomy (105 min; p=0.017). Postoperative complications occurred in 56 patients (49%). Overall 30-day postoperative mortality was 16%. No statistically significant differences were found in morbidity and mortality between open versus laparoscopic repair. Conclusion This study demonstrates an increased use of CT as the primary diagnostic tool for PPU and of laparoscopic repair in its surgical treatment. These changes in management are not associated with altered outcomes

Evolutionary Computation, Optimization and Learning Algorithms for Data Science

A large number of engineering, science and computational problems have yet to be solved in a computationally efficient way. One of the emerging challenges is how evolving technologies grow towards autonomy and intelligent decision making. This leads to collection of large amounts of data from various sensing and measurement technologies, e.g., cameras, smart phones, health sensors, smart electricity meters, and environment sensors. Hence, it is imperative to develop efficient algorithms for generation, analysis, classification, and illustration of data. Meanwhile, data is structured purposefully through different representations, such as large-scale networks and graphs. We focus on data science as a crucial area, specifically focusing on a curse of dimensionality (CoD) which is due to the large amount of generated/sensed/collected data. This motivates researchers to think about optimization and to apply nature-inspired algorithms, such as evolutionary algorithms (EAs) to solve optimization problems. Although these algorithms look un-deterministic, they are robust enough to reach an optimal solution. Researchers do not adopt evolutionary algorithms unless they face a problem which is suffering from placement in local optimal solution, rather than global optimal solution. In this chapter, we first develop a clear and formal definition of the CoD problem, next we focus on feature extraction techniques and categories, then we provide a general overview of meta-heuristic algorithms, its terminology, and desirable properties of evolutionary algorithms

Germline BAP1 Inactivation Is Preferentially Associated with Metastatic Ocular Melanoma and Cutaneous-Ocular Melanoma Families

Background: BAP1 has been shown to be a target of both somatic alteration in high-risk ocular melanomas (OM) and germline inactivation in a few individuals from cancer-prone families. These findings suggest that constitutional BAP1 changes may predispose individuals to metastatic OM and that familial permeation of deleterious alleles could delineate a new cancer syndrome. Design: To characterize BAP1’s contribution to melanoma risk, we sequenced BAP1 in a set of 100 patients with OM, including 50 metastatic OM cases and 50 matched non-metastatic OM controls, and 200 individuals with cutaneous melanoma (CM) including 7 CM patients from CM-OM families and 193 CM patients from CM-non-OM kindreds. Results: Germline BAP1 mutations were detected in 4/50 patients with metastatic OM and 0/50 cases of non-metastatic OM (8 % vs. 0%, p = 0.059). Since 2/4 of the BAP1 carriers reported a family history of CM, we analyzed 200 additional hereditary CM patients and found mutations in 2/7 CM probands from CM-OM families and 1/193 probands from CM-non-OM kindreds (29 % vs. 0.52%, p =.003). Germline mutations co-segregated with both CM and OM phenotypes and were associated with the presence of unique nevoid melanomas and highly atypical nevoid melanoma-like melanocytic proliferations (NEMMPs). Interestingly, 7/14 germline variants identified to date reside in C-terminus suggesting that the BRCA1 binding domain i

Bio-nanotechnology application in wastewater treatment

The nanoparticles have received high interest in the field of medicine and water purification, however, the nanomaterials produced by chemical and physical methods are considered hazardous, expensive, and leave behind harmful substances to the environment. This chapter aimed to focus on green-synthesized nanoparticles and their medical applications. Moreover, the chapter highlighted the applicability of the metallic nanoparticles (MNPs) in the inactivation of microbial cells due to their high surface and small particle size. Modifying nanomaterials produced by green-methods is safe, inexpensive, and easy. Therefore, the control and modification of nanoparticles and their properties were also discussed