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Abstract Background Hepatocellular carcinoma (HCC), a leading cause of cancer-related deaths globally, poses significant challenges in early detection. Improved diagnostic accuracy can drastically influence patient outcomes, emphasizing the need for innovative, non-invasive biomarkers. Methods: This study utilized a cohort of 402 participants, including healthy controls, chronic hepatitis patients, and HCC patients from Bangladesh, to evaluate DNA methylation signatures in peripheral blood mononuclear cells (PBMC). We performed targeted next-generation sequencing on selected genes previously identified to assess their methylation dynamics. The development of M8 and M4 scores was based on these dynamics, using Receiver Operating Characteristic (ROC) analysis to determine their effectiveness in detecting early-stage HCC alongside existing markers such as epiLiver and alpha-fetoprotein (AFP). Results: Integration of M8 and M4 scores with epiLiver and AFP significantly enhances diagnostic sensitivity for early-stage HCC. The M4+epiLiver score achieves a sensitivity of 79.4% in Stage A HCC, while combining M4 with AFP increases sensitivity to 88.2–95.7% across all stages, indicating a superior diagnostic performance compared to each marker used alone. Conclusions: Our study confirms that combining gene methylation profiles with established diagnostic markers substantially improves the sensitivity of detecting early-stage HCC. This integrated diagnostic approach holds promise for advancing non-invasive cancer diagnostics, potentially leading to earlier treatment interventions and improved survival rates for high-risk patients.

Abstract Impaired secretion of an essential blood coagulation factor fibrinogen leads to hepatic fibrinogen storage disease (HFSD), characterized by the presence of fibrinogen-positive inclusion bodies and hypofibrinogenemia. However, the molecular mechanisms underlying the biogenesis of fibrinogen in the endoplasmic reticulum (ER) remain unexplored. Here we uncover a key role of SEL1L-HRD1 complex of ER-associated degradation (ERAD) in the formation of aberrant inclusion bodies, and the biogenesis of nascent fibrinogen protein complex in hepatocytes. Acute or chronic deficiency of SEL1L-HRD1 ERAD in the hepatocytes leads to the formation of hepatocellular inclusion bodies. Proteomics studies followed by biochemical assays reveal fibrinogen as a major component of the inclusion bodies. Mechanistically, we show that the degradation of misfolded endogenous fibrinogen Aα, Bβ, and γ chains by SEL1L-HRD1 ERAD is indispensable for the formation of a functional fibrinogen complex in the ER. Providing clinical relevance of these findings, SEL1L-HRD1 ERAD indeed degrades and thereby attenuates the pathogenicity of two disease-causing fibrinogen γ mutants. Together, this study demonstrates an essential role of SEL1L-HRD1 ERAD in fibrinogen biogenesis and provides insight into the pathogenesis of protein-misfolding diseases.

Abstract Background Nitric oxide (NO) is pivotal in regulating the activity of NBS-LRR specific R genes, crucial components of the plant’s immune system. It is noteworthy that previous research has not included a genome-wide analysis of NO-responsive NBS-LRR genes in plants. Results The current study examined 29 NO-induced NBS-LRR genes from Arabidopsis thaliana, along with two monocots (rice and maize) and two dicots (soybean and tomato) using genome-wide analysis tools. These NBS-LRR genes were subjected to comprehensive characterization, including analysis of their physio-chemical properties, phylogenetic relationships, domain and motif identification, exon/intron structures, cis-elements, protein-protein interactions, prediction of S-Nitrosylation sites, and comparison of transcriptomic and qRT-PCR data. Results showed the diverse distribution of NBS-LRR genes across chromosomes, and variations in amino acid number, exons/introns, molecular weight, and theoretical isoelectric point, and they were found in various cellular locations like the plasma membrane, cytoplasm, and nucleus. These genes predominantly harbor the NB-ARC superfamily, LRR, LRR_8, and TIR domains, as also confirmed by motif analysis. Additionally, they feature species-specific PLN00113 superfamily and RX-CC_like domain in dicots and monocots, respectively, both responsive to defense against pathogen attacks. The NO-induced NBS-LRR genes of Arabidopsis reveal the presence of cis-elements responsive to phytohormones, light, stress, and growth, suggesting a wide range of responses mediated by NO. Protein-protein interactions, coupled with the prediction of S-Nitrosylation sites, offer valuable insights into the regulatory role of NO at the protein level within each respective species. Conclusion These above findings aimed to provide a thorough understanding of the impact of NO on NBS-LRR genes and their relationships with key plant species.

Abstract Background Infective endocarditis (IE) poses significant clinical challenges, often necessitating surgical intervention for improved patient outcomes. The choice between mitral valve repair (MVP) and mitral valve replacement (MVR) is crucial in managing IE. This systematic review and meta-analysis aims to compare the effectiveness of MVP and MVR in treating IE, focusing on outcomes such as postoperative bleeding, mortality, recurrent endocarditis, and stroke. Main text A comprehensive literature search was conducted following PRISMA guidelines. Studies directly comparing MVP and MVR in IE patients were included. Data extraction and quality assessment were performed, and meta-analysis was conducted using RevMan software. Thirty-two studies involving 82,123 patients were included. MVP was associated with significantly lower rates of postoperative bleeding (OR: 0.58, 95% CI: 0.40–0.84) and reduced long-term mortality (OR: 0.40, 95% CI: 0.32–0.51) compared to MVR. However, MVR showed lower rates of recurrent endocarditis. MVP was also associated with a decreased likelihood of postoperative stroke (OR: 0.52, 95% CI: 0.40–0.68).2, 4 Conclusions MVP demonstrates advantages over MVR in reducing postoperative bleeding, long-term mortality, and stroke risk in IE patients. However, individual patient factors and surgical expertise must be considered in treatment decisions. Further research, including randomized controlled trials, is needed to validate these findings and refine treatment algorithms for IE management.

Abstract In Bangladesh, okra is an important popular summer vegetable. However, traditional farming practices often lead to suboptimal yields. Thus, the study was designed to determine the ideal GA3 and NAA doses for accelerating okra growth, yield, and quality characteristics. A three-replication, randomized complete block design was adopted. Foliar sprays with three concentrations of GA3 (0 ppm, 150 ppm, and 250 ppm) and NAA (0 ppm, 150 ppm, and 250 ppm) were applied in 2022 and 2023. In comparison to the control, the combined application of GA3 @ 150 ppm and NAA @ 150 ppm improved plant height, leaf number, leaf area, branch number, internode length, bud number, pod number, pod length, pod diameter, and 1000 seed weight average over the two years. Furthermore, GA3 @ 150 ppm with NAA 150 ppm increased yield by 35.08% and 27.01% in 2022 and 2023 respectively, above the control. Combining NAA @ 150 ppm with GA3 resulted in higher levels of vitamin C, TSS, magnesium, and zinc by 19.31%, 81.2%, 22.73% and 21.43% in 2022 and 22.83%, 50.57%, 18.07%, 33.33% in 2023 respectively, compared to the control. In contrast, GA3 and NAA decreased potassium and calcium in both year when compared to the control. Overall, the results of this experiment indicated that using GA3 @ 150 ppm with NAA @ 150 ppm could enhance okra growth, yield, and quality. These findings provide insightful information for improving okra cultivation techniques and improving Bangladesh’s productivity in agriculture and food security.

Abstract In exploring nature's potential in addressing diabetes-related conditions, this study investigates the therapeutic capabilities of 3-formyl chromone derivatives. Utilizing in silico methodologies, we focus on 6-substituted 3-formyl chromone derivatives (1–16) to assess their therapeutic potential in treating diabetes. The research examined the formyl group at the chromone’s C-3 position. ADMET, biological activities, were conducted along with B3LYP calculations using 3 different basis sets. The analogues were analyzed based on their parent structure obtained from PubChem. The HOMO–LUMO gap confirmed the bioactive nature of the derivatives, NBO analysis was performed to understand the charge transfer. PASS prediction revealed that 3-formyl chromone derivatives are potent aldehyde oxidase inhibitors, insulin inhibitors, HIF1A expression inhibitors, and histidine kinase. Molecular docking studies indicated that the compounds had a strong binding affinity with proteins, including CAD, BHK, IDE, HIF-α, p53, COX, and Mpro of SARS-CoV2. 6-isopropyl-3-formyl chromone (4) displayed the highest affinity for IDE, with a binding energy of − 8.5 kcal mol−1. This result outperformed the affinity of the reference standard dapagliflozin (− 7.9 kcal mol−1) as well as two other compounds that target human IDE, namely vitexin (− 8.3 kcal mol−1) and myricetin (− 8.4 kcal mol−1). MD simulations were revealed RMSD value between 0.2 and 0.5 nm, indicating the strength of the protein–ligand complex at the active site.

As the textile industry expands, more industrial waste effluents are released into natural water streams, prompting the research and development of innovative materials for the remediation of environmental issues. In this research, a direct precipitation and hydrolysis method were used to synthesize ZnO and TiO2 nanoparticles, respectively that were utilized to investigate the photocatalytic activity of Congo Red (CR) dye. Afterward, the crystallite size was computed from the data of the X-ray diffractometer (XRD), and utilizing several models (Scherrer equation, LSLMSE, Monshi-Scherrer equation, Williamson-Hall model, Size-strain plot method, Halder-Wagner model, Sahadat-Scherrer model). Among these models, the size-strain plot model yields the most accurate crystal size (45.31 nm) for ZnO nanoparticles and the Halder-Wagner model (2.44 nm) for TiO2 nanoparticles. Scanning Electron Microscope exhibited the spherical shape of nanoparticles (ZnO, and TiO2) with particle size (less than 151 nm). The absorption spectrum from Fourier transform infrared (FTIR) spectroscopy confirmed the formation of nanoparticles (ZnO, and TiO2). Thereafter, the photocatalytic activity of the ZnO-TiO2 nanocomposite was evaluated by using Congo Red (CR) dye under different process variables, such as catalyst dose, time, initial dye concentration, pH, radical scavenging ability, and reusability. The best degradation (90 %) was recorded at 180 min time intervals using a 0.2 g catalyst dose with a 20 ppm CR concentration at pH 9.

Weaning is stressful for goat kids, often leading to stunted growth, weight loss, and mortality, with varied weaning times reducing overall productivity and profitability. The aim of this research was to determine the optimal age for weaning of Black Bengal goat (BBG) kids and evaluate the impact of weaning stress on their post-weaning performances. A trial was conducted comprising 4 groups (8 kids/group), accompanied by 4 lactating does, weaned at intervals of 45, 60, 75, and 90 days (designated as A, B, C, and D, respectively), and reared up to six months of age. Heart rate measurements and blood samplings were done three days before (-3), during (0), and three days after (+3) individual weaning schedules. Furthermore, dry matter intake, daily weight gain, weaning weight, 06 months weight, disease incidence, and kid mortality were also recorded. The serum concentration of triiodothyronine (T3) hormone declined significantly (p [ J Adv Biotechnol Exp Ther 2024; 7(3.000): 472-481]

Fossil fuels, land use, and agriculture are the three major sources contributing to the rise in atmospheric greenhouse gases (GHGs). Agricultural activities including the production of rice, animal raising, and aquaculture directly contribute to GHG emissions. Approximately one fourth of all GHG emissions are attributable to agricultural operations primarily as a result of unsustainable farming practices. The GHG emissions from agriculture include carbon dioxide (CO2), nitrous oxide (N2O), methane (CH4). However, measurements of GHGs are laborious, expensive, and technically challenging but are crucial to select the most appropriate and feasible system. Since it is difficult to find a comprehensive overview of the variety of techniques, including latest technologies, in one article, this review aims to provide details of available methodologies, their benefits and drawbacks, with a focus on those that have been extensively tested in various ecosystems and regions. This paper is a purely methodological one which, on purpose, tried to familiarize the reader with the vast range of different developments. Our analysis is not exhaustive and is not intended to be a systematic review. The article summarizes that micrometeorological approaches are suitable for measurement from broader footprints, whereas chamber techniques measuring gases from point sources, are more appropriate for high spatio-temporal resolutions in diverse ecosystems. Stable isotope techniques are the most accurate methods and allow a process-specific quantification of GHGs but require sophisticated equipment.

This research investigates the effectiveness of using a smart ternary-hybrid nanofluid to enhance the melting rate and convective behavior of electrically conducting tin (Sn) in a rectangular enclosure under the influence of a uniform magnetic field. The enclosure has adiabatic vertical walls with hot and cold temperatures on the bottom and top walls. The finite element method (FEM) is used to solve the governing equations with appropriate boundary conditions using Galerkin's weighted residual approach. The study focuses on applying tin as the phase change material (PCM), with the highest temperature of 508 K, the lowest temperature of 503 K, and the melting interface temperature of 505 K. To enhance the heat transfer performance, tin-based ternary (graphene (G), silicon carbide (SiC), and nickel (Ni)) hybrid smart coolant is applied into the system. To investigate the mechanism of the melting and convective thermal transfer process, the results of the present study are reported with time for various values of the magnetic field (Ha) and solid concentration of ternary hybrid nanoparticle (ϕ). This study represents the streamlines, isothermal lines, melting interface, melting fraction, and heat transfer for the above-mentioned parameters. The results show that increasing the magnetic field reduces the rate of thermal transport by 38.96 % at t = 4000s. However, at a particular time of 2500s, increasing the solid volume fraction of nanoparticles enhances the melting fraction by approximately 8.34 %. Two regression equations are derived for the Nusselt number and melting fraction, with multiple response variables. This article improves understanding of natural convective heat transport during phase change processes for various coolants in different engineering applications.

ABSTRACT Objectives Metabolic syndrome (MetS) is a group of medical conditions that elevate the chances of developing cardiovascular disease, stroke and Type 2 diabetes. This study aimed to determine the frequency and contributing risk factors of MetS in adults from Bangladesh. Methods In this cross‐sectional study, 653 individuals (470 males and 183 females) were randomly selected to participate. Fasting blood samples were collected and analysed using standard methods to measure biochemical parameters. MetS was defined on the basis of NCEP‐ATP III guidelines, and multivariate logistic regression analyses were conducted to identify factors associated with MetS. Results The prevalence of MetS was 19.7% in the healthy control group, 70.2% in the hypertensive group and 46.8% in the diabetic group. Overall, there was no significant difference in the prevalence of MetS between males (45%) and females (45.9%). The participants who had both hypertension and diabetes had the highest prevalence of MetS at 77.3%. Both males and females showed an increased trend in the prevalence of MetS and its components as they aged, except for WC in males (p 55 age group in females had a prevalence of 73.9%. The most common component of MetS was low levels of HDL‐C, which affected over 80% of the studied sample. According to the logistic regression analyses, age, BMI, hypertension and diabetes were significantly associated with MetS in both genders. Conclusion This study found a high prevalence of MetS in Bangladeshi adults. Several factors are significantly associated with the risk of MetS. It is crucial to consider the varying prevalence rates of MetS by age and gender as well as its different components while providing health guidance and support.

In exploring nature's potential in addressing liver-related conditions, this study investigates the therapeutic capabilities of flavonoids. Utilizing in silico methodologies, we focus on flavone and its analogs (1–14) to assess their therapeutic potential in treating liver diseases. Molecular change calculations using density functional theory (DFT) were conducted on these compounds, accompanied by an evaluation of each analog's physiochemical and biochemical properties. The study further assesses these flavonoids' binding effectiveness and locations through molecular docking studies against six target proteins associated with human cancer. Tropoflavin and taxifolin served as reference drugs. The structurally modified flavone analogs (1–14) displayed a broad range of binding affinities, ranging from -7.0 to -9.4 kcal mol⁻¹, surpassing the reference drugs. Notably, flavonoid (7) exhibited significantly higher binding affinities with proteins Nrf2 (PDB:1 × 2 J) and DCK (PDB:1 × 2 J) (-9.4 and -8.1 kcal mol⁻¹) compared to tropoflavin (-9.3 and -8.0 kcal mol⁻¹) and taxifolin (-9.4 and -7.1 kcal mol⁻¹), respectively. Molecular dynamics (MD) simulations revealed that the docked complexes had a root mean square deviation (RMSD) value ranging from 0.05 to 0.2 nm and a root mean square fluctuation (RMSF) value between 0.35 and 1.3 nm during perturbation. The study concludes that 5,7-dihydroxyflavone (7) shows substantial promise as a potential therapeutic agent for liver-related conditions. However, further validation through in vitro and in vivo studies is necessary.Key insights from this study include: • Screening of flavanols and their derivatives to determine pharmacological and bioactive properties using ADMET, molinspiration, and pass prediction analysis. • Docking of shortlisted flavone derivatives with proteins having essential functions. • Analysis of the best protein-flavonoid docked complexes using molecular dynamics simulation to determine the flavonoid's efficiency and stability within a system.

In today’s rapidly evolving corporate environments, ensuring comprehensive security measures is paramount. This paper presents SafeguardNet, a deep transfer learning-based model designed to enhance corporate safety through effective multiclass threat detection. Recognizing the limitations of existing binary threat detection systems, our approach introduces a diverse dataset encompassing a wide array of threat categories, including knives, guns, fires, and normal scenarios. This diversity in threat classes significantly improves the model’s ability to accurately distinguish between various types of security risks, leading to enhanced robustness and reliability in real-world applications. Utilizing the Xception architecture, SafeguardNet achieves an overall accuracy of 94.5%, precision of 92.3%, recall of 93.8%, and an F1 score of 93.0%., the model demonstrates exceptional capability with individual F1 scores of 96% for guns and fires, 95% for Additionallyknives, and 89% for normal scenarios, reflecting its proficiency in handling diverse threat types. The integration of a varied dataset plays a critical role in enhancing these performance metrics by providing the model with a comprehensive range of scenarios for training. This diversity ensures that SafeguardNet can robustly and accurately detect and classify multiple security threats, offering a reliable and comprehensive solution for corporate security needs.

Dengue fever is a tropical mosquito-transmitted disease spread through the Aedes mosquito, where the human body works as the primary host. Each year, densely populated countries such as Bangladesh, Thailand, and India, particularly in the Southeast Asian region, experience the majority of dengue outbreaks worldwide. Notably, in 2023, Bangladesh endured an unprecedented dengue outbreak, registering the highest number of cases in over two decades since 2000. This research aims to facilitate early detection of dengue from patients’ complete blood count (CBC) medical laboratory reports collected from two hospitals in Dhaka, Bangladesh. The custom-built dataset, comprising 320 samples and 14 hematology features, is used to evaluate diverse artificial intelligence techniques. This dataset documents suspected dengue cases in Bangladesh from May 2023 to October 2023, reflecting a significant outbreak period, including a gender distribution ratio of 5:3 male to female patients. Various preprocessing steps, handling missing values and outliers, one-hot encoding, synthetic oversampling, and removing redundant features, are applied to the employed dataset. Five feature selection methods and diverse machine learning algorithms, along with ensemble learning and transformer-based models, are implemented. The stacking ensemble classifier achieved the highest performance, with an accuracy of 96.88% and an F1 score of 0.9646. The stacking technique has been built using the LightGBM meta-classifier and XGBoost, Logistic Regression, and Multilayer Perceptron base learners. The collected CBC dengue dataset and the implementation codes are available at: https://github.com/mritunjoychk17/Dengue-Prediction-in-Bangladesh-Using-Machine-Learning.

Mulberry leaves serve as the primary food source for Bombyx mori silkworms, crucial for silk thread production. However, mulberry trees are highly susceptible to diseases, spreading rapidly and causing significant losses. Manual disease identification across large farms is arduous and time-consuming. Leveraging computer vision for early disease detection and classification can mitigate up to 90% of production losses. This study collected leaves from two regions of Bangladesh, categorized as healthy, leaf rust-affected, and leaf spot-affected. With a total of 1091 images, split into training (764), testing (218), and validation (109) sets for 5-fold cross-validation, preprocessing and augmentation yielded 6,000 images, including synthetics. This study compares ResNet50, VGG19, and MobileNetV3Small on a specific task following architecture modifications. Four convolutional layers with different output channels (512, 128, 64, and 32) were added to baseline models. We assessed how these architectural changes affected model correctness, computing efficiency, and convergence rates. Comparing three pretrained convolutional neural networks (CNNs) - MobileNetV3Small, ResNet50, and VGG19 - augmented with four additional layers, the modified MobileNetV3Small excelled in precision, recall, F1-score, and accuracy, achieving notable results of 97.0%, 96.4%, 96.4%, and 96.4%, respectively, across cross-validation folds. An efficient smartphone application employing the proposed model for mulberry leaf disease recognition was developed. Overall, the model outperformed existing State of the Art (SOTA) approaches, showcasing its effectiveness in disease identification. The interpretative Grad-CAM visualization images match sericulture specialists’ assessments, validating the model’s predictions. These results imply that, this eXplainable AI (XAI) approach with a modified deep learning architecture can appropriately classify mulberry leaves.

Abstract Background Chitosan biopolymer is an emerging non-toxic and biodegradable plant elicitor or bio-stimulant. Chitosan nanoparticles (CSNPs) have been used for the enhancement of plant growth and development. On the other hand, NO is an important signaling molecule that regulates several aspects of plant physiology under normal and stress conditions. Here we report the synthesis, characterization, and use of chitosan-GSNO nanoparticles for improving drought stress tolerance in soybean. Results The CSGSNONPs released NO gas for a significantly longer period and at a much lower rate as compared to free GSNO indicating that incorporation of GSNO in CSNPs can protect the NO-donor from rapid decomposition and ensure optimal NO release. CS-GSNONPs improved drought tolerance in soybean plants reflected by a significant increase in plant height, biomass, root length, root volume, root surface area, number of root tips, forks, and nodules. Further analyses indicated significantly lower electrolyte leakage, higher proline content, higher catalase, and ascorbate peroxidase activity, and reduction in MDA and H2O2 contents after treatment with 50 μM CS-GSNONPs under drought stress conditions. Quantitative real-time PCR analysis indicated that CS-GSNONPs protected against drought-induced stress by regulating the expression of drought stress-related marker genes such as GmDREB1a, GmP5CS, GmDEFENSIN, and NO-related genes GmGSNOR1 and GmNOX1. Conclusions This study highlights the potential of nano-technology-based delivery systems for nitric oxide donors to improve plant growth, and development and protect against stresses.

Social media has become integral to contemporary society, with online behaviors impacting individual experiences and the wider community. In Bangladesh, a developing country, SNS have played a pivotal role in the nation's digitalization efforts. This study explores the relationship between social capital theory, D&M Information System Model, subjective well-being, and SNS Citizenship Behavior (SCB) among active social media users in Bangladesh. Data was collected from 418 participants through an online survey, and hypotheses were tested using structural equation modeling. The findings indicate that the items of the D&M model positively influenced the aspects of social capital theory, excluding service quality. In contrast, social interaction ties and shared values were positively associated with SCB, although social trust did not exhibit a significant relationship. Additionally, subjective well-being mediated the connection between social capital and SCB. This research offers valuable insights into the factors influencing online prosocial behavior and provides practical implications for cultivating a positive communication culture in the digital era. The model proposed in this study holds significant implications for Bangladesh's policymakers and social networking site authorities, guiding their efforts in implementing technology-based initiatives.

The mitogen-activated protein kinase (MAPK) signaling pathway, particularly the p38 MAPK and ERK1/2, has been implicated in the pathogenesis of Parkinson's disease (PD). Recent studies have shown that MAPK signaling pathway can influence the expression of matrix metalloproteinase 9 (MMP-9), known for its involvement in various physiological and pathological processes, including neurodegenerative diseases. This study explores the modulation of MMP-9 expression via the MAPK/ERK signaling cascade and its potential therapeutic implications in the context of PD-associated motor dysfunction. Here, tolperisone hydrochloride (TL), a muscle relaxant that blocks voltage-gated sodium and calcium channels, was used as a treatment to observe its effect on MAPK signaling and MMP-9 expression. Rotenone (RT) exposure in mice resulted in a significant reduction in substantia nigra and primary motor cortex neurons, which were further evidenced by impairments in motor function. When TL was administered, neuron count was restored (89.0 ± 4.78 vs 117.0 ± 4.46/mm2), and most of the motor dysfunction was alleviated. Mechanistically, TL reduced the protein expression of phospho-p38MAPK (1.06 fold vs 1.00 fold) and phospho-ERK1/2 (1.16 fold vs 1.02 fold), leading to the inhibition of MAPK signaling, as well as reduced MMP-9 concentrations (2.76 ± 0.10 vs 1.94 ± 0.10 ng/mL) in the process of rescuing RT-induced neuronal cell death and motor dysfunction. Computational analysis further revealed TL’s potential inhibitory properties against MMP-9 along with N and L-type calcium channels. These findings shed light on TL's neuroprotective effects via MMP-9 inhibition and MAPK signaling downregulation, offering potential therapeutic avenues for PD-associated motor dysfunction.

Background Adolescence is a pivotal period for physical, mental, social and behavioural development, so it is crucial to understand the factors influencing adolescent food preferences and eating behaviour. This study aimed to investigate the factors that influence adolescents’ food preferences and eating behaviours in the Forcibly Displaced Myanmar Nationals (FDMN) camp in Cox’s Bazar, Bangladesh.Methods A cross-sectional study was conducted in the FDMN camp, recruiting 545 adolescents. The purposive sampling technique was applied. First, 12 camps in the Ukhiya region were randomly selected. Adolescents of both sexes, aged between 10 and 19, were included in the study. Respondents’ sociodemographic characteristics and dietary patterns, as well as the participant’s nutritional status, were recorded. Descriptive statistics were used to present the baseline characteristics, while Pearson’s χ2 test was used to assess the relationship between food preference and baseline characteristics.Results A significant number of participants failed to meet their daily requirements for essential nutrients, including protein (89.9%), vegetables (82.8%) and dairy products (90.8%). Additionally, 58.9% of the respondents did not consume adequate water daily. Food preferences and eating behaviours among FDMN adolescents in Cox’s Bazar were found to be influenced by a range of factors, including peer influence, access to nutritional education, food sources, cultural beliefs, ration sufficiency, food prices as well as age, gender, education level and household income.Conclusions In conclusion, understanding and addressing the multifaceted factors that influence the food preferences of FDMN adolescents is crucial for developing targeted interventions and comprehensive nutritional programmes.

This study aimed to explore whether Nypa juice collection as an alternative income-generating activity (AIGA) influenced the life and livelihood of the coastal communities of Bangladesh. Following a cross-sectional survey method, this study was conducted in four unions of Kalapara and Taltoli Upazila (sub-district) of Patuakhali and Barguna districts, where data were collected using a multistage stratified random sampling from 208 participants, including both Nypa juice collectors and no-collectors by administering a semi-structured interview schedule (SSIS). Findings indicated that Nypa juice collectors were older (p = 0.032) and mostly Hindu (p

Due to the Covid-19 pandemic more than 6 million people have died, and it has bought unprecedented challenges to our lives. The recent outbreak of monkeypox virus (MPXV) has brought out new tensions among the scientific community. Currently, there is no specific treatment protocol for MPXV. Several antivirals, vaccinia immune globulin (VIG) and smallpox vaccines have been used to treat MPXV. Ginseng, one of the more famous among traditional medicines, has been used for infectious disease for thousands of years. It has shown promising antiviral effects. Ginseng could be used as a potential adaptogenic agent to help prevent infection by MPXV along with other drugs and vaccines. In this mini review, we explore the possible use of ginseng in MPXV prevention based on its antiviral activity.

In this study, several aspects of autogenous and autonomous healing concrete are discussed, including their characterization, processes, and performances. Mineral admixtures, fibers, and autonomous methods like shape memory alloys, capsules, and microbial technologies have been found effective in repairing cracks. Based on this review, autonomous approaches heal cracks better than autogenous methods also geometry and size of cracks have an important role in selecting self-healing techniques and agents. The effectiveness of biomimetic materials such as shape memory alloys, capsules, and bacteria-based self-healing concrete is also being carefully considered. Lastly, future research scope and present gaps are recognized and discussed.

Visible light is used by a technology known as Light Fidelity to establish wireless internet connections very quickly. This article offers line-of-sight communication between the transmitter and receiver using LED technology. Li-Fi technology is a method that transmits data using LED light, which is faster and more efficient than Wi-Fi. Since it is practically ubiquitous, light can be used for communication as well. A cutting-edge technology called optical communication includes a subset called Li-Fi. By sending out visible light, the Li-Fi device enables wireless intranet communication. An in-depth study and analysis of Li-Fi, a novel technology that transmits data at high speeds over a wide spectrum by using light as a medium of transmission.

Capacitive deionization (CDI) is an emerging technology which is being developed as a promising desalination alternative for charged species from salt water, being electrode materials as key drivers for highly efficient process. Here, we describe synthesis of highly porous activated carbons from chicken feathers using pyrolysis followed by chemical activation with potassium hydroxide in a 1:4 ratio to produce sustainable, scalable, and sustainable carbon electrodes for CDI. Poly (vinyl alcohol) (PVA) was used as binder to modify chicken feather activated carbons (CF-AC), which were subsequently crosslinked with glutaraldehyde (GA) to produce CF-AC-PVA-GA polymers through acetylation reaction. This resulted from improving hydrophilicity of CF-AC-PVA-GA polymers to raise the electrodes' resistance. Prepared materials were characterized using scanning electron microscopy, Fourier transform infrared, X-ray diffraction, Brunauer-Emmett-Teller and cyclic voltammetry. Fabricated CDI electrodes were used to investigate their performance for desalination, and exhibited different electrosorption capacity at different applied potentials. Modified electrodes possessed good stability in shear conditions and CDI process was stable and reproducible around 16 electrosorption cycles. Salt removal capacity of the modified electrodes (CF-AC-PVA-GA) was found to be 3.89 mg g−1. The obtained outcomes offer important considerations of ions electrosorption and help advancing CDI system for water treatment and desalination. HIGHLIGHTS Activated carbons (ACs) were prepared from chicken feathers via pyrolysis using KOH.; Poly (vinyl alcohol) and glutaraldehyde were used for modification of ACs.; Modified carbon materials were used for capacitive deionization (CDI) electrodes.; The CDI electrodes retained good stability around 16 electrosorption cycles.; Salt removal capacity of the fabricated CDI electrodes was found to be 3.89 mg g−1.;

Abstract High-throughput tests for early cancer detection can revolutionize public health and reduce cancer morbidity and mortality. Here we show a DNA methylation signature for hepatocellular carcinoma (HCC) detection in liquid biopsies, distinct from normal tissues and blood profiles. We developed a classifier using four CpG sites, validated in TCGA HCC data. A single F12 gene CpG site effectively differentiates HCC samples from other blood samples, normal tissues, and non-HCC tumors in TCGA and GEO data repositories. The markers were validated in a separate plasma sample dataset from HCC patients and controls. We designed a high-throughput assay using next-generation sequencing and multiplexing techniques, analyzing plasma samples from 554 clinical study participants, including HCC patients, non-HCC cancers, chronic hepatitis B, and healthy controls. HCC detection sensitivity was 84.5% at 95% specificity and 0.94 AUC. Implementing this assay for high-risk individuals could significantly decrease HCC morbidity and mortality.

TPO (Thyroid Peroxidase) is known to be one of the major genes involved in congenital hypothyroid patients with thyroid dyshormonogenesis. The present study aims to validate high-resolution melting (HRM) curve analysis as a substitute method for Sanger sequencing, focusing on the frequently observed non-synonymous mutations c.1117G>T, c.1193G>C, and c.2173A>C in the TPO gene in patients from Bangladesh. We enrolled 36 confirmed cases of congenital hypothyroid patients with dyshormonogenesis to establish the HRM method. Blood specimens were collected, and DNA was extracted followed by PCR and Sanger sequencing. Among the 36 specimens, 20 were pre-sequenced, and variants were characterized through Sanger sequencing. Following pre-sequencing, the 20 pre-sequenced specimens underwent real-time PCR-HRM curve analysis to determine the proper HRM condition for separating the three variations from the wild-type state into heterozygous and homozygous states. Furthermore, 16 unknown specimens were subjected to HRM analysis to validate the method. This method demonstrated a sensitivity and specificity of 100 percent in accurately discerning wild-type alleles from both homozygous and heterozygous states of c.1117G>T (23/36; 63.8%), c.1193G>C (30/36; 83.3%), and c.2173A>C (23/36; 63.8%) variants frequently encountered among 36 Bangladeshi patients. The HRM data was found to be similar to the sequencing result, thus confirming the validity of the HRM approach for TPO gene variant detection. In conclusion, HRM-based molecular technique targeting variants c.1117G>T, c.1193G>C, and c.2173A>C could be used as a high throughput, rapid, reliable, and cost-effective screening approach for the detection of all common mutations in TPO gene in Bangladeshi patients with dyshormonogenesis.

Salinity variations are the main reason for rice yield fluctuations in salt-prone regions throughout the dry season (Boro season). Plant breeders must produce new rice varieties that are more productive, salt tolerant, and stable across a variety of settings to ensure Bangladesh's food sustainability. To assess the yield and stability, we used fifteen rice genotypes containing two tolerant checks BRRI dhan67, Binadhan-10 and the popular Boro rice variety BRRI dhan28 in different salinity "hotspot" in three successive years followed by additive main effects and multiplicative interaction (AMMI) model utilizing a randomized complete block (RCB) design with two replications. Parents selection was done based on estimated breeding values (EBVs). Eight parents with high EBVs (IR83484-3-B-7-1-1-1, IR87870-6-1-1-1-1-B, BR8992-B-18-2-26, HHZ5-DT20-DT2-DT1, HHZ12-SAL2-Y3-Y2, BR8980-B-1-3-5, BRRI dhan67, and Binadhan-10) might be used to develop new segregating breeding materials. Based on farmer preferences and grain acceptability, three genotypes (IR83484-3-B-7-1-1-1, HHZ5-DT20-DT2-DT1, and HHZ12-SAL2-Y3-Y2) were the winning and best ones. The above three genotypes in the proposed variety trial showed significantly higher yields than the respective check varieties, high salinity tolerance ability, and good grain quality parameters. Among them, HHZ5-DT20-DT2-DT1 and IR83484-3-B-7-1-1-1 harbored eight and four QTL/genes that regulate the valuable traits revealed through 20 SNP genotyping. Finally, two genotypes IR83484-3-B-7-1-1-1 and HHZ5-DT20-DT2-DT1 were released as high salinity-tolerant rice varieties BRRI dhan97 and BRRI dhan99, respectively in Bangladesh for commercial cultivation for sustaining food security and sustainability.

A typical study has been performed for synthesizing Ag2O and ZnO nanoparticles. In our case, aloe vera extract was used as a reducing agent for synthesizing Ag2O. This green synthesis of silver oxide used silver nitrate (AgNO3) as a precursor material. On the other hand, the direct precipitation method was used for synthesizing zinc oxide nanoparticles, in which the precursor materials used were zinc nitrate hexahydrate (Zn(NO3)2·6H2O) and potassium hydroxide (KOH). Afterward, the characterization of these synthesized nanoparticles was done by the X-ray diffraction (XRD) method. Then, the crystal size, lattice strain, stress, and energy density of synthesized ZnO and Ag2O were determined by using XRD peak profile analysis. Among the various available models for determining these microstructural parameters, we explored the Scherrer model, the linear straight-line method of the Scherrer equation, the Monshi-Scherrer model, the Sahadat-Scherrer model, the Williamson-Hall model (including the uniform deformation model, the uniform stress deformation model, the uniform deformation energy density model), the size-strain plot method, the Halder-Wagner model, etc. By employing the crystal size values from these models, the accuracy and validity of crystals were also performed. The synthesized products were also characterized by the exploration of functional groups (by FTIR) and optical band gaps (by UV technique).

ABSTRACT Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) continues to spread and evolve, giving rise to new surges in cases and deaths. Although nasopharyngeal swab (NPS) samples are the gold standard for diagnosing SARS-CoV2, NPS sampling is invasive and requires skilled staff, specialized transport medium, and nucleic acid extraction. The SalivaDirect method uses saliva samples and a simplified, flexible approach to overcome these drawbacks. In our study conducted at the COVID-19 Screening Unit of the Dhaka Hospital of icddr,b (International Centre for Diarrheal Disease Research, Bangladesh), the diagnostic performance of SalivaDirect and NPS was compared using paired samples. SARS-CoV2 was detected by performing RT-qPCR using RNA extracted from saliva samples with the SalivaDirect method and from the NPS with extracted RNA. A total of 200 participants were enrolled from February to March 2021, among whom 78 (39.0%) tested positive for SAR-CoV2 from at least one sample. Among the 78 participants testing positive, 65 (83.3%) tested positive in both specimens, eight (10.3%) tested positive only in NPS, and five (6.4%) tested positive only in saliva. SalivaDirect had a sensitivity of 89.0% and specificity of 96.1%, with NPS as the reference test. The sensitivity of NPS and SalivaDirect was 93.6% and 89.7% respectively, with a composite reference standard (where patients are defined as positive if tested positive in either method) as the reference. Our findings demonstrated that the SalivaDirect method can be used as an alternative to NPS in our clinical setting and also supports the use of SalivaDirect in other settings. IMPORTANCE Affordable and accessible tests for COVID-19 allow for timely disease treatment and pandemic management. SalivaDirect is a faster and easier method to implement than NPS sampling. Patients can self-collect saliva samples at home or in other non-clinical settings without the help of a healthcare professional. Sample processing in SalivaDirect is less complex and more adaptable than in conventional nucleic acid extraction methods. We found that SalivaDirect has good diagnostic performance and is ideal for large-scale testing in settings where supplies may be limited or trained healthcare professionals are unavailable.

The presence of trace metals in aquatic ecosystems can have detrimental effects on fish survival. The Tanguar haor, a Ramsar conservation wetland, receives sediment and water from multiple transboundary rivers. However, there have been limited studies on the metal concentrations in fish species in this sediment-rich wetland. This study aimed to analyze the concentrations of iron (Fe), manganese (Mn), chromium (Cr), copper (Cu), zinc (Zn), cadmium (Cd), and lead (Pb) in water, sediment, and fish tissues. Higher concentrations of Cd and Pb were found in the water and sediment. All these metals were detected in eight fish species, including benthic and pelagic species. Among them, Systomus sarana, a pelagic fish that also consumes benthic organisms, exhibited a higher metal pollution index than other fish, particularly benthic species. The release of higher metal concentrations from sediment into the water has the potential to impact the accumulation of metals in fish. Synopsis: This study on metal concentrations in fish species will aid policymaking on ecotoxicology research for transboundary river-connected wetlands.

Jibanananda Das remains one of the major post-Tagore literary personas whose works are still open to interpretation. Torn between nurturing literary aestheticism and the responsibility to be a bread-earner, the complex dichotomy of Das’ life has shaped his writings significantly. The fictional writings also guide towards the complex labyrinth Das himself is. Like a mysterious kaleidoscope, he reflects light in the unexplored regions, and his writings bear the paradox a modern man faces when he is homeless. Likewise, according to György Lukács, the philosophical term “transcendental homelessness” expresses the yearning for a soulful and emotional home that is no longer available in this world. Nonetheless, Das’ oeuvre carries a fervent longing to be at home everywhere, and the yearning to find roots in a time of restlessness has left a permanent mark on his personal life as well. The identity crisis and alienation from society have forced him to continuously search for belongingness in a world full of fragmentation. Das’ alienation and innate desire to belong somewhere in Bengal portray the finest example of transcendental homelessness, which is evident in his collection of poems and stories. This research aims to study the inherent urge of Das to be at home everywhere and the sense of belongingness illustrated in his poems and stories.

This work highlights the development of a conductive elastomer (CE) based electrophoretic platform that enables the transfer of charged molecules from a solid-state CE electrode directly to targeted tissues. Using an elastomer-based electrode containing poly (3,4-ethylenedioxythiophene) nanowires, controlled electrophoretic delivery of methylene blue (MB) and fluorescein (FLSC) was achieved with applied voltage. Electroactive release of positively charged MB and negatively charged FLSC achieved 33.19 ± 6.47 μg release of MB and 22.36 ± 3.05 μg release of FLSC, a 24 and 20-fold increase in comparison to inhibitory voltages over 1 h. Additionally, selective, and sequential release of the two oppositely charged molecules from a single CE device was demonstrated, showing the potential of this device to be used in multi-drug treatments.

Since the beginning of the COVID-19 pandemic, the use and manufacture of alcohol-based hand sanitizers increased exponentially. Efficacy of hand sanitizers mainly depends on active ingredients like ethanol and isopropanol (IPA). Even though methanol is extremely hazardous to people, it is still illegally used in hand sanitizers in Bangladesh. Developing a quick and simple analytical method for detecting and quantifying ethanol/IPA/methanol is crucial. Here, Fourier transform infrared spectroscopy (FTIR) was used to identify and quantify alcohol content in commercially available hand sanitizers in a quick and easy way. Comparing the FTIR and GC data, provided quite similar results. Unlike previous studies by FTIR, C–H, CH3–C–CH3 stretching, and C–H bending vibrational modes were employed to construct analytical calibration curves to detect and quantify alcohol in hand sanitizers. According to FTIR and GC findings, ethanol and IPA content were found to be 43–82% and 40–69%, and 56–64% and 61–66%, respectively, whereas ethanol was labeled at 66–80% and IPA at 65–70%. FTIR and GC revealed methanol content ranging from 37 to 98 and 19 to 81%, respectively. Also, the FTIR was significantly faster than the GC. Therefore, FTIR can be used to commercially analyze the quality of hand sanitizers. • FTIR was used to identify and quantify alcohol content in commercially available hand sanitizers in a quick and easy way. • Comparing the FTIR and GC data, provided quite similar results. • Out of ten samples, five contained ethanol, three IPA, and two methanol.

Media is the principal channel of communication that structures people’s consciousness. Such influence of media is often constructed through particular framing which reaches powerful organizations and encourages them to work on different social issues like child abuse. The present study is designed to assess the trend of episodic and thematic media framing on child-abusing news and its relation with the adaptation of The Children Act along with UNICEF’s reporting principles. With media framing theory this paper executed a quantitative study through content analysis. A total of 1091 news articles were studied from two broadsheets and one tabloid newspaper within a timeline of one year. Results revealed that episodic news has a higher tendency of violating reporting principles than thematic. Incidents of sexual abuse received most of the coverage in Bangladeshi newspapers where girls were found most likely to be the victims of misrepresentation. Finally, the tabloid newspaper was found guiltier of unethical reporting than the broadsheets which established a significant connection between the tendency of principles violation and newspaper type. The paper recommended policymakers, child welfare institutes, and mass media promote children’s rights to decrease the rate of abuse cases in Bangladesh.

Soybean, a major legume crop, has seen a decline in its production owing to challenges in seed germination and the development of seedlings. Thus, in this study, we systematically investigated the influence of various chitosan–S-nitrosoglutathione (chitosan-GSNO) nanoparticle (0, 25, 50, and 100 µM) and Si (0, 0.5, and 1 mM) priming concentrations on soybean seed germination and seedling growth over five different priming durations (range: 1–5 h at each concentration). Significant differences were observed in all parameters, except seedling diameter, with both treatments. Seed germination was significantly enhanced after 3 h of priming in both treatments. The final germination percentage (FGP), peak germination percentage (PGP), vigor index (VI), seedling biomass (SB), hypocotyl length (HL), and radical length (RL) of 100 μM chitosan-GSNO-nanoparticle-primed seeds increased by 20.3%, 41.3%, 78.9%, 25.2%, 15.7%, and 65.9%, respectively, compared with those of the control; however, the mean germination time (MGT) decreased by 18.43%. Si priming at 0.5 mM increased the FGP, PGP, VI, SB, HL, and RL by 13.9%, 55.17%, 39.2%, 6.5%, 22.5%, and 25.1%, respectively, but reduced the MGT by 12.29% compared with the control treatment. Chitosan-GSNO and Si treatment up-regulated the relative expression of gibberellic acid (GA)-related genes (GmGA3ox3 and GmGA2ox1) and down-regulated that of abscisic acid (ABA)-related genes (GmABA2, GmAAO3, and GmNCED5). Chitosan-GSNO and Si application increased bioactive GA4 levels and simultaneously reduced ABA content. Hence, the use of exogenous chitosan-GSNO nanoparticles and Si as priming agents had a beneficial effect on seed germination and seedling growth because of the up-regulation in the expression of GA and down-regulation in the expression of ABA. Additional research is needed to understand the combined impact of Si and chitosan-GSNO nanoparticles, including their effects on the expression levels of other hormones and genes even in the later growth stage of the crop.

OBJECTIVES/GOALS: This study was performed to explore the capabilities of simultaneous [89 Zr]trastuzumab-PET/MRI acquisition in a cohort of metastatic HER2+ breast cancer. The insights derived provide additional noninvasive characterization and precise intratumoral analysis tools for healthcare providers. METHODS/STUDY POPULATION: A total of 13 patients, aged between 40 and 70, diagnosed with HER2-positive breast cancer, were selected to participate in this study. Whole-body [89 Zr]trastuzumab-PET/MR imaging was performed 5 ± 1 days post-injection of the radiopharmaceutical during ongoing HER2-directed therapy. Concurrently acquired T1-weighted MRI facilitated the identification of normal organ and tumor regions of interest, which were further analyzed for mean ADC and mean standardized uptake value. Multiparametric intratumoral habitat analysis was performed. Utilizing the median metric values, tumors were evaluated for heterogeneity, specifically assessing high and low HER2 expression through an image processing framework in conjunction with ADC metrics. Long-term treatment response evaluation is ongoing. RESULTS/ANTICIPATED RESULTS: Initial analysis indicate all tumors exhibited higher overall uptake of [89 Zr]trastuzumab across various sites including the bone (p=0.019), brain (p=0.014), and breast (p=0.069), when compared to corresponding normal organs. Additionally, increased ADCmean values were observed in all regions besides brain tumors (bone: p=0.002, brain: p=0.5, breast: p=0.03, juxtapulmonary: p=0.037), indicating distinct patterns of cellularity. Notably, one of five patients with a breast lesion, who exhibited a complete response to HER2-targeted therapy, exhibited the highest breast lesion SUVmean. Brain and lymph node lesions demonstrated intratumoral heterogeneity of HER2 expression. Qualification of multi parametric maps is anticipated to inform on intratumoral heterogeneity DISCUSSION/SIGNIFICANCE: Despite limitation in clinical applications of quantitative approaches due to lack of standardization of processing, initial investigations, in combining molecular imaging of HER2 and quantitative MRI demonstrate potential in characterizing metastatic HER2+ breast cancer for intratumoral classification and therapeutic stratification.

IntroductionA persistent gender divide in digital competence is visible empirically in both developed and developing countries. But there is not a single study in the context of Bangladesh, as per the author’s best knowledge. This study, therefore, was designed to find out the gender divide in the digital competence of university students with reference to socioeconomic background.MethodsThis cross-sectional study was carried out in a public university of Bangladesh, where data were collected from 1,059 students using a semi-structured interview schedule, where digital competence was measured by computer application usage (CAU) and computer self-efficacy (CSe), with overall reliability of 0.840 and 0.960, respectively. Data were analyzed using IBM SPSS Statistic v25, and one-way analysis of variance (ANOVA) and t-test were used to determine the differences between students regarding digital competence.ResultsFindings from ANOVA suggested that older students, in terms of age (p

Abstract Background Dishevelled paralogs (DVL1, 2, 3) are key mediators of Wnt pathway playing a role in constitutive oncogenic signaling influencing the tumor microenvironment. While previous studies showed correlation of β-catenin with T cell gene expression, little is known about the role of DVL2 in modulating tumor immunity. This study aimed to uncover the novel interaction between DVL2 and HER2-positive (HER2+) breast cancer (BC) in regulating tumor immunity and disease progression. Methods DVL2 loss of function studies were performed with or without a clinically approved HER2 inhibitor, Neratinib in two different HER2+ BC cell lines. We analyzed RNA (RT-qPCR) and protein (western blot) expression of classic Wnt markers and performed cell proliferation and cell cycle analyses by live cell imaging and flow cytometry, respectively. A pilot study in 24 HER2+ BC patients was performed to dissect the role of DVL2 in tumor immunity. Retrospective chart review on patient records and banked tissue histology were performed. Data were analyzed in SPSS (version 25) and GraphPad Prism (version 7) at a significance p

The rapid increase in Internet users has increased online concerns such as hate speech, abusive texts, and harassment. In Bangladesh, hate text in Bengali is frequently used on various social media platforms to condemn and abuse individuals. However, Research on recognizing hate speech in Bengali texts is lacking. The pervasive negative impact of hate speech on individuals’ well-being and the urgent need for effective measures to address hate speech in Bengali texts have created a significant research gap in the Bengali hate speech detection field. This study suggests a technique for identifying hate speech in Bengali social media posts that may harm individuals’ sentiments. Our approach utilizes the Bidirectional Encoder Representations from Transformers (BERT) architecture to extract Bengali text properties, whereas hate speech is categorized using a Gated Recurrent Units (GRU) model with a Softmax activation function. We propose a new model, G-BERT, that combines both models. We compared our model’s performance with several other algorithms and achieved an accuracy, precision, recall, and F1-score of 95.56%, 95.07%, 93.63%, and 92.15%, respectively. Our proposed model outperformed all other classification algorithms tested. Our findings show that the strategy we have suggested is successful in locating hate speech in Bengali texts posted on social media platforms, which can aid in mitigating online hate speech and promoting a more respectful online environment.

We show in simulation and experiment that the coherent coupling of electric fields between elements of a triangular photonic crystal vertical cavity surface emitting laser array can be adjusted into antiguided supermodes with approximately equal injection into each array element. The dominant supermodes are found by a complex waveguide mode simulation and can be identified by the number and arrangement of side-lobes of their Fourier-transformed far-field beam profiles. The supermode with all three elements in-phase is found to possess the minimum central lobe angular divergence. Measurements of the continuous wave coherently coupled properties of photonic crystal triangular arrays, nominally emitting at 850 nm, are compared to our simulations. We show that the array can be adjusted to lase in a desired supermode by varying the injection currents into each element of the array. The optical power confined within the central portion of the in-phase coupled beam is greater than that emitted from a single VCSEL which is advantageous for high-brightness applications.

Background: Few studies have examined detailed features of pregnancy and the postpartum period as potential risk factors for early onset breast cancer (BC) by molecular subtype. These data may have value for improving risk assessment and prevention. Methods: We surveyed parous enrollees in the prospective Mayo Clinic Breast Disease Registry (MCBDR) who had been diagnosed with BC at age

The rapid expansion of slums with increasing population density are the main barriers to scaling-up sustainable Water, Sanitation, and Hygiene (WASH) facilities in the megalopolis of Dhaka, Bangladesh. The improper arrangement of ‘Cheap WASH’ (i.e., water access, sanitation access, and hygiene practices) and unmanaged disposal of non-biodegradable menstrual hygiene wastes, single-use medical, and plastic usage at slums are making the environment of city surroundings unfavourable and vulnerable posing a great threat to public health. Among the slum-dwellers, particularly, females with a disability are mostly the worst affected and vulnerable due to unfavourable conditions and lack of necessary support. Following the backdrops, this study purposively selected two Dhaka slums, with and without disabled-friendly facilities, to investigate female perspectives on different aspects related to WASH and menstrual hygiene management (MHM) for females with a disability. In total, 30 in-depth interviews, 12 focus group discussions, and 22 key informant interviews were conducted at Korail and Kalyanpur slums. Case studies from the megalopolis of Dhaka, Bangladesh, capture the economic burden added to the budgetary deficits of the family with female-disabled. Discrimination in extra care needed for toilet facilities, MHM education, and transport and overlooking the caretaker's requirement or loss in income are found as additional burdens. HIGHLIGHTS Inaccessibility and inconveniences linked to WASH and MHM are barriers to self-dependency for disabled females.; Economic burdens are adding to disabled families’ budgetary deficits.; Formal education beyond the primary level is commonly denied for menstruating disabled due to a lack of trained caretakers.; High-plinth toilets made to avoid regular flooding exacerbates disabled accessibility to current public latrines.;

Abstract Background Healthcare workers (HCWs), such as doctors, nurses, and support staffs involved in direct or indirect patient care, are at increased risk of influenza virus infections due to occupational exposures. Vaccination is the most effective way to prevent influenza. Despite the World Health Organization (WHO) recommendations, Bangladesh lacks a seasonal influenza vaccination policy for HCWs, and thus vaccination rates remain low. The current project aims to investigate the effect of interventions on influenza vaccine awareness and availability of vaccine supply, explore HCWs’ knowledge and perceptions about influenza vaccination, understand the barriers and motivators for influenza vaccine uptake, and understand policymakers' views on the practicality of influenza vaccination among HCWs. Method We will conduct the study at four tertiary care teaching hospitals in Bangladesh, using a cluster randomized controlled trial approach, with the hospital as the unit of randomization and intervention. The study population will include all types of HCWs.The four different types of intervention will be randomly allocated and implemented in four study hospitals separately. The four interventions will be: i) ensuring the availability of influenza vaccine supply; ii) developing influenza vaccine awareness; iii) both ensuring influenza vaccine supply and developing influenza vaccine awareness and iv) control arm with no intervention. Both quantitative and qualitative approaches will be applied to assess the intervention effect. We will estimate the Difference in Differences (DID) with 95% CI of the proportion of vaccine uptake between each intervention and control (non-intervention) arm, adjusting for the clustering effect. The qualitative data will be summarised using a framework matrix method. Discussion The results of this study will inform the development and implementation of a context-specific strategy to enhance influenza vaccination rates among Bangladeshi HCWs. Trial registration Clinicaltrials.gov NCT05521763. Version 2.0 was registered in September 2022, and the first participant enrolled in March 2022. Retrospectively registered.

Bangladesh, a coastal developing nation with a diverse sustainable biodiversity of natural resources is currently focused upon by international communities as a result of its high potential of the coastal zone (CZ) with natural gas. Sustainable Coastal Zone Management (SCZM) is key to its national development. SCZM refers to the management of coastal resources in order to provide secure and alternative livelihoods, as well as to manage all types of coastal hazards and social and cultural well-being in order to ensure long-term productivity and minimize environmental impact. This paper aims to delineate the current initiatives and status of coastal management in Bangladesh, highlighting key issues such as climate changes, sea level rise, tropical cyclones, coastal and marine pollution, coastal erosions, saltwater intrusions, and mangrove degradations as well as the future trend in Bangladesh which will facilitate sustainable development by emphasizing the social, ecological, and economic pillars of sustainability. Unsustainable coastal development practices in Bangladesh are going to damage the coastal ecosystems, particularly mangrove forests and coral reefs, which provide protection against tropical cyclones caused by global climate change and coastal erosions. The paper concludes by outlining a roadmap toward achieving SCZM in Bangladesh. The road to achieving SCZM requires collaboration, integration of scientific research, policy frameworks, community engagement, capacity building, and long-term commitment from all stakeholders involved. So, it is required to address all kinds of coastal issues and reframes all existing coastal management practices to ensure a healthy productive ecosystem to achieve SCZM as well as the sustainable development of the country.

Background: Cervical cancer (CC) is the second most common type of female malignancy in Bangladesh. Polymorphisms in the CYP1A1 gene have been reported to be associated with CC in different populations. This case-control study with meta-analysis was undertaken to assess the relation of CYP1A1 rs4646903 and rs1048943 polymorphisms with the susceptibility of CC. Methods: A total of 185 CC patients and 220 controls were recruited, and the PCR-RFLP (Polymerase chain reaction-restriction fragment length polymorphism) technique was applied for genotyping. Again, 42 eligible studies (24 with rs4646903 and 18 with rs1048943) were included for meta-analysis, and RevMan 5.3 and the MetaGenyo web-based tool were used. Results: The rs4646903 polymorphism was significantly linked with CC in all association models, namely, additive 1, additive 2, dominant, recessive, overdominant, and allele models (OR = 2.41, 4.75, 2.67, 3.61, 2.13, and 2.44 with corresponding 95% CI = 1.55–3.76, 1.81–12.45, 1.75–4.07, 1.39–9.35, 1.38–3.30, and 1.71–3.48, respectively). On the contrary, rs1048943 showed no association (p > 0.05) with CC. Haplotype analysis revealed AT and AC haplotypes significantly decreased (OR = 0.45) and increased (OR = 4.86) CC risk, respectively, and SNPs are in strong linkage disequilibrium (D’ = 0.912, r2 = 0.448). Again, rs4646903 carriers with a contraception history and >5 years of taking contraceptives showed an enhanced risk of CC (OR = 2.39, OR = 3.05). Besides, rs1048943 carriers aged >40 years (OR = 0.44), conceived first child aged ≤18 years (OR = 3.45), and history of contraceptives (OR = 2.18) were significantly linked with CC. Our meta-analysis found that for CYP1A1 rs4646903 codominant 1 (COD 1), codominant 2 (COD 2), codominant 3 (COD 3), dominant model (DM), recessive model (RM), and allele model (AM) in Caucasians and overdominant model (OD) in the overall population are associated with an elevated risk of CC, whereas rs1048943 is also associated with CC in overall, Caucasians and Asians in some genetic models. Conclusion: Our case-control study and meta-analysis summarize that CYP1A1 rs4646903 and rs1048943 polymorphisms may be correlated with cervical cancer.

Dengue is a vector-borne viral disease caused by multiple serotypes (DENV-1, DENV-2, DENV-3, and DENV-4) of the dengue virus. It has been a public health concern since 2000 in Bangladesh. However, Bangladesh experienced a higher prevalence and death rate in the year 2022 than the previous year surpassing the COVID-19 situation. While climatic factors had always been a prominent reason for dengue incidence, reports stated that DEN 4 serotype was identified for the first time in the country, which made the dengue cases worse. In this article, we presented the 5 years prevalence of hospitalization and death cases owing to dengue fever and also provided a comparison of death cases caused by dengue and COVID-19 in Bangladesh. We described the possible reasons for the sudden surges of dengue infection and mentioned the actions led by the government to deal with this dengue occurrence. Lastly, we recommend a few strategies to counter the future outbreak of dengue infection in the country.

The purpose of this paper is to investigate antecedents and consequences of self-disclosure in subjective well-being with social support as a mediator. The study model was validated by an online survey of 244 respondents. Results demonstrate that self-disclosure is significantly dependent on information, social influence, social media use, and enjoyment and it positively influences social support and subjective well-being. In addition, social support mediates the relationship between self-disclosure and subjective well-being. In the context of social networking sites, social interaction (social support) impacts more than solo action (self-disclosure) toward an individual’s online social well-being in the Covid-19 situation. Moreover, people who are prepared to share more information on Facebook may develop deeper bonding with their dear ones. This study assessed the proposed model’s functionality and reliability in light of Covid-19 pandemic in Bangladesh and our findings have implications for existing ideas of self-disclosure and social support exchange theories that are currently held.