Women\u27s beliefs regarding food restrictions during common childhood illnesses: a hospital based study

Background: Malnutrition continues to be a major problem in Pakistan. Inadequate nutrition contributes substantially to childhood death and disease. Restriction of diet during common childhood illnesses further compromises the nutritional status of the child. The present study aims to determine the beliefs and practices regarding food restrictions during common childhood illnesses.Methods: A cross-sectional survey was conducted at Community Health Centre (CHC), of The Aga Khan University Hospital, Karachi to understand the beliefs and practices regarding food restrictions in common childhood illnesses. Four hundred adult females were interviewed from July-September 2000. A self-administered questionnaire was filled by the respondent.Results: Major sources of information about restriction of various foods during different illnesses were relatives. Sixty five percent of the respondents believed that heavy food should be restricted during diarrhoea and oily food during jaundice. Sixty six percent of the respondents believed that cold food should be restricted during cold/cough and twenty three percent believed that oily food should be restricted during typhoid.CONCLUSION: Beliefs\u27 regarding food restrictions during illnesses plays a very important role on the nutrition status. Surprisingly, medical doctors and other health care givers were also the source of information for advising food restrictions in certain childhood illnesses. Therefore there is a need for educating the physicians and other health care workers along with the mothers about food concepts and feeding practices during health and diseases. Protein energy malnutrition can be reduced to some extent if wrong dietary beliefs about child feeding practices in a community can be removed with health education programme

Evaluation of current physical symptoms and psychological sufferings of patients during attending department of palliative medicine in a tertiary care hospital

Background: Empirical evidence indicates that anxiety and depression in cancer patients are often overlooked, leading to insufficient assistance for their psychosocial needs. Distinguishing between clinical anxiety and depression and the typical emotional distress post-cancer diagnosis can be challenging but holds significant implications for coping strategies and outcomes. The aim of this study was to assess current physical symptoms and psychological sufferings of patients’ during attending in a Palliative care department of a tertiary care hospital. Methods: This cross‐sectional study was conducted among 191 patients with cancer attending the department of palliative medicine, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh from November 2021 and March 2022. Data was collected by face‐to‐face interview using a structured questionnaire. Depression and anxiety were evaluated using a modified version of the primary care evaluation of mental disorders guide. Results: 47 participants (20.7% prevalence of depressive disorders and 13.9% prevalence of anxiety disorders) met the diagnostic criteria for at least one anxiety or depressive disorder, according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. The 95% confidence interval for these results was between 20.2 and 29.0. Conclusions: In summary, depression and anxiety disorders are prevalent among patients in palliative care, significantly reducing the quality of life for those facing cancer-related mortality

Women s perception about food properties in a tertiary care hospital

Objective: To understand the existing food beliefs regarding hot, cold and badi (gas-producing) properties of different food items and also to assess whether there is any relationship with education of women and these beliefs.Design: A cross-sectional study.PLACE AND DURATION OF STUDY: Community Health Center (CHC), The Aga Khan University Hospital, Karachi from July to September 2000.SUBJECTS AND Methods: Four hundred adult female respondents, who came to CHC as a patient or as an attendant, were interviewed after taking verbal consent. A self-administered pre-coded and pre-tested questionnaire was filled by the respondent. Descriptive frequencies and cross tabulation were computed to assess the existing food beliefs. Chi-square test was used to assess the association between education level of women and belief regarding these food items.Results: More than three-fourth of respondents were literate. The percentages of respondents saying that certain foods were hot, cold and badi were 71%, 55% and 80% respectively. Meat, either beef or mutton, fish, egg, chicken, was perceived as hot by majority of the respondents. Majority of vegetables was perceived as cold foods in our study. The other foods like rice, yogurt, banana, watermelon, milk and cold drink were also thought to be cold by many of the respondents. Cabbage, cauliflower, potato, rice, gram and mash pulses (chane and mash-ki-dal) were highly rated as badi foods. Level of education of women didn t show any statistically significant difference in keeping beliefs regarding hot, cold and badi properties of food items.CONCLUSION: A significant concept of different properties of food exists in our culture. We recommend future studies to explore scientific basis for classifying hot, cold or badi foods and also to look into its impact on health by their restriction based on their beliefs

Sibling and non-sibling fingerprints comparison of Pakhtun population of Swat district, KP, Pakistan

Background: Fingerprint and other ridges are considered to be the best forensic science tool for identification of humans, alive or dead, and even for decomposed bodies. These fingerprint ridges exhibit various static features throughout life which reflect the person biology. This branch gained immense importance since the past few decades in congenital abnormality. This study was to carry out fingerprints analysis of sibling and non-sibling for differentiation and gender identification.Methods: A total of 80 pairs of fingerprints (1600 prints) were collected from persons aged 15 to 30 years using rolling method. Out of which 20 pairs were brother-brother, 20 were sister-sister, 20 were brother-sister and 20 Pairs were random. Each fingerprint was analyzed for the gender identification on the basis of minutiae, ridge density and types. All the fingerprints were analysed using ACE-V method. After comparison SPSS software was used for further analysis.Results: Our result showed that the types of fingerprints identified was whorl (50%) followed by loop (45.25%), arch (4.5%) and 0.25% of the accidental type. The dominant type was whorl while accidental was the least common type of fingerprints. Statistical analysis showed that between the groups, brother-brother and sister-sister was significant while rest of the groups was not significant. Moreover, greater ridge density was observed in female as compared to male.Conclusion: It is concluded that the sibling fingerprints had greater similarity as compared to non-sibling, however both male and female fingerprints were significantly different in term of ridges density. This study may be useful in crime scene investigation.Keywords: Forensics; Fingerprint ridge density; Fingerprint type; Gender identification

A Scenario of Adopting AI Technology in Supply Chain: A Study of E-Commerce in Bangladesh

<p>The use of artificial intelligence (AI) in supply chain management is rapidly growing, with many companies adopting AI-powered solutions to improve efficiency, accuracy, and sustainability. In Bangladesh, the e-commerce industry is also growing rapidly, and AI is poised to play a major role in its future.</p><p>This study aims to investigate the potential of AI technology to improve the efficiency, accuracy, and sustainability of e-commerce supply chains in Bangladesh. The study found that AI technology can be used to:</p><ul><li>Improve customer experience by providing personalized recommendations, answering customer questions, and tracking orders.</li><li>Optimize logistics by optimizing transportation routes, managing inventory, and tracking shipments.</li><li>Reduce fraud by detecting fraudulent transactions, preventing identity theft, and protecting customer data.</li><li>Increase sustainability by reducing the environmental impact of e-commerce, such as by optimizing transportation routes and reducing packaging waste.</li></ul><p>The study also found that AI technology is a feasible and scalable solution for the e-commerce supply chain in Bangladesh. The study recommends that e-commerce companies in Bangladesh explore the use of AI technology to improve their supply chain operations.</p&gt

Deep eutectic solvents as alternative green solvents for the efficient desulfurization of liquid fuel: A comprehensive review

Increase in the requirement of energy consumption has been followed by a consistent rise in sulfur emission with economic and health issues. Moreover, it considerably decreases the efficacy of developed emission control systems of diesel engines, thus ultimately harms the atmosphere. It leads to a strict sulfur discharge limit to approximately 15 ppm and sequentially served as a goal for investigating different desulfurization technologies. Hydrodesulfurization, a conventional refinery desulfurization process is operated at higher pressure and temperature, employing expensive catalysts and hydrogen gas. This review aims to consider the merits and demerits of main areas of the substitute desulfurization processes, comprising adsorptive, extractive, oxidative, and biodesulfurization and comprehensively discuss the role of DESs emphasizing on the factors affecting in extractive and oxidative desulfurization. Different factors such as DESs selection, extraction temperature, extraction time, DESs regeneration, and multistage extractions are considered that affect the desulfurization efficiency. Deep eutectic solvents explored in 2001, a less toxic solvent have been keenly investigated as an alternative solvent for extractive desulfurization since 2013. DESs showed a higher capability for sulfur elimination. Low synthetic cost and economical raw materials, less solvent to feed ratio, and valuable green characteristics show DESs suitable for the desulfurization process

CRISPR-Cas9 mediated targeted disruption of FAD2–2 microsomal omega-6 desaturase in soybean (Glycine max.L)

Abstract Background Recent innovation in the field of genome engineering encompasses numerous levels of plant genome engineering which attract the substantial excitement of plant biologist worldwide. RNA-guided CRISPR Cas9 system has appeared a promising tool in site-directed mutagenesis due to its innovative utilization in different branches of biology. CRISPR-Cas9 nuclease system have supersedes all previously existed strategies and their associated pitfalls encountered with site-specific mutagenesis. Results Here we demonstrated an efficient sequence specific integration/mutation of FAD2–2 gene in soybean using CRISPR-Cas9 nuclease system. A single guided RNA sequence was designed with the help of a number of bioinformatics tools aimed to target distinct sites of FAD2–2 loci in soybean. The binary vector (pCas9-AtU6-sgRNA) has been successfully transformed into soybean cotyledon using Agrobacterium tumafacien. Taken together our findings complies soybean transgenic mutants subjected to targeted mutation were surprisingly detected in our target gene. Furthermore, the detection of Cas9 gene, BAR gene, and NOS terminator were carried out respectively. Southern blot analysis confirmed the stable transformation of Cas9 gene into soybean. Real time expression with qRT-PCR and Sanger sequencing analysis confirmed the efficient CRISPR-Cas9/sgRNA induced mutation within the target sequence of FAD2–2 loci. The integration of FAD2–2 target region in the form of substitution, deletions and insertions were achieved with notably high frequency and rare off-target mutagenesis. Conclusion High frequent mutation efficiency was recorded as 21% out of all transgenic soybean plants subjected to targeted mutagenesis. Furthermore, Near-infrared spectroscopy (NIR) indicates the entire fatty acid profiling obtained from the mutants seeds of soybean. A considerable modulation in oleic acid content up to (65.58%) whereas the least level of linoleic acid is (16.08%) were recorded. Based on these finding CRISPR-Cas9 system can possibly sum up recent development and future challenges in producing agronomically important crops

Demand Forecasting DBA Algorithm for Reducing Packet Delay with Efficient Bandwidth Allocation in XG-PON

In a typical 10G-Passive Optical Network (XG-PON), the propagation delay between the Optical Network Unit (ONU) and Optical Line Terminal (OLT) is about 0.3 ms. With a frame size of 125 μs, this amounts to three frames of data in the upstream and three frames of data in the downstream. Assuming no processing delays, the grants for any bandwidth requests reach the ONU after six frames in this request-grant cycle. Often, during this six-frame delay, the queue situation is changed drastically, as much, more data would arrive in the queue. As a result, the queued data that is delayed loses its significance due to its real-time nature. Unfortunately, almost all dynamic bandwidth allocation (DBA) algorithms follow this request-grant cycle and hence lacking in their performance. This paper introduces a novel approach for bandwidth allocation, called Demand Forecasting DBA (DF-DBA), which predicts ONU’s future demands by statistical modelling of the demand patterns and tends to fulfil the predicted demands just in time, which results in reduced delay. Simulation results indicate that the proposed technique out-performs previous DBAs, such as GigaPON access network (GIANT) and round robin (RR) employing the request-grant cycle in terms of Throughput and Packet delivery ratio (PDR). Circular buffers are introduced in statistical predictions, which produce the least delay for this novel DF-DBA. This paper, hence, opens up a new horizon of research in which researchers may come up with better statistical models to brew better and better results for Passive optical networks

Bacterial and viral pathogen spectra of acute respiratory infections in under-5 children in hospital settings in Dhaka city.

The study aimed to examine for the first time the spectra of viral and bacterial pathogens along with the antibiotic susceptibility of the isolated bacteria in under-5 children with acute respiratory infections (ARIs) in hospital settings of Dhaka, Bangladesh. Nasal swabs were collected from 200 under-five children hospitalized with clinical signs of ARIs. Nasal swabs from 30 asymptomatic children were also collected. Screening of viral pathogens targeted ten respiratory viruses using RT-qPCR. Bacterial pathogens were identified by bacteriological culture methods and antimicrobial susceptibility of the isolates was determined following CLSI guidelines. About 82.5% (n = 165) of specimens were positive for pathogens. Of 165 infected cases, 3% (n = 6) had only single bacterial pathogens, whereas 43.5% (n = 87) cases had only single viral pathogens. The remaining 36% (n = 72) cases had coinfections. In symptomatic cases, human rhinovirus was detected as the predominant virus (31.5%), followed by RSV (31%), HMPV (13%), HBoV (11%), HPIV-3 (10.5%), and adenovirus (7%). Streptococcus pneumoniae was the most frequently isolated bacterial pathogen (9%), whereas Klebsiella pneumaniae, Streptococcus spp., Enterobacter agglomerans, and Haemophilus influenzae were 5.5%, 5%, 2%, and 1.5%, respectively. Of 15 multidrug-resistant bacteria, a Klebsiella pneumoniae isolate and an Enterobacter agglomerans isolate exhibited resistance against more than 10 different antibiotics. Both ARI incidence and predominant pathogen detection rates were higher during post-monsoon and winter, peaking in September. Pathogen detection rates and coinfection incidence in less than 1-year group were significantly higher (P = 0.0034 and 0.049, respectively) than in 1-5 years age group. Pathogen detection rate (43%) in asymptomatic cases was significantly lower compared to symptomatic group (P<0.0001). Human rhinovirus, HPIV-3, adenovirus, Streptococcus pneumonia, and Klebsiella pneumaniae had significant involvement in coinfections with P values of 0.0001, 0.009 and 0.0001, 0.0001 and 0.001 respectively. Further investigations are required to better understand the clinical roles of the isolated pathogens and their seasonality