Disaster response self-efficacy of nursing students: Perceived level and associated factors.

OBJECTIVES: The study aimed to assess the level of disaster response self-efficacy (DRSE) among nursing students in Bangladesh and examine the factors influencing their level of DRSE. METHODS: A cross-sectional study design was used for this research. A self-administered descriptive structured questionnaire was used to collect survey data from 573 students of nursing colleges in four districts: Chattogram, Dhaka, Khulna, and Rajshahi. The Bengali version of the DRSE Scale was adopted and used to measure the outcome variable. RESULTS: The nursing students exhibited a moderate level of disaster response self-efficacy (Mean = 3.63; SD = 0.73), as well as moderate levels of knowledge (Mean = 3.87; SD = 0.71), skills (Mean = 4.24; SD = 0.91), and preparedness (Mean = 4.31; SD = 0.76) in disaster management. Significant positive correlations were found between respondents' disaster knowledge (r = 0.447, p < 0.01), skills (r = 0.516, p < 0.01), and preparedness (r = 0.701, p < 0.01) with disaster response self-efficacy. Gender, age, having children in the household, post-basic BSc in nursing students, and disaster knowledge were significantly associated with nursing students' DRSE. Female respondents had a 0.27-unit lower DRSE (ß = -0.270 (95 % CI: -0.389, -0.115), p < 0.001) than male respondents. Besides, the respondents per unit increase in disaster knowledge occurred a 0.438-unit increase in DRSE (ß = 0.438 (95 % CI: 0.367, 0.510), p < 0.001). However, no statistically significant associations were found between the respondents' disaster experience and disaster-related training with their DRSE scores. CONCLUSION: Improving disaster management knowledge by including disaster management-related courses and organizing more training, drills, seminars, and workshops may improve their DRSE.

Integrating PV-based energy production utilizing the existing infrastructure of MRT-6 at Dhaka, Bangladesh.

In a very dense urban landscape, incorporating renewables becomes challenging due to a lack of space, planning, and mindset. Utilization of already existing large infrastructures in combination with existing technology and necessary adaptation can create the right synergy for harnessing renewables like solar. This paper proposes the installation of a solar power plant in Dhaka, Bangladesh, using available space on Metro Rail Line 6 to meet the increasing demand for clean and renewable energy. The proposed system involves the selection of suitable space, and PV panels, the calculation of annual electricity generation, and performing financial and environmental analyses. The proposed on-grid/grid-tied system offers the advantage of reducing dependence on power supplied to the grid, resulting in lower energy costs, and promoting the use of green energy. The system has a payback period of 7.7 years and a return on investment of 45.7 %. It is estimated that the system saves 14,053.203 tons of CO2 emissions per year and 281,064.06 tons of CO2 emissions over its lifetime. Also, the grid life cycle emission is 584 gCO2/kWh, and the system life cycle emission is 39,119.4 tCO2, which further proves that it is a feasible solution to meeting energy demands while reducing the dependency on fossil fuels and promoting sustainable energy utilization. The results of simulations run using PVsyst and HOMER confirm the economic viability of the proposed solar power station, supporting its viability. The levelized energy cost (LCOE), as projected by PVsyst, is $0.09 per kWh, nearly matching HOMER's prediction of $0.0835. This convergence of results from several simulation tools supports the solar power plant's predicted cost-effectiveness, demonstrating its potential as a key player in the effort to create a greener and more affordable energy landscape.

Label-Free DNA Detection Using Etched Tilted Bragg Fiber Grating-Based Biosensor.

A label-free-based fiber optic biosensor based on etched tilted Bragg fiber grating (TFBG) is proposed and practically demonstrated. Conventional phase mask technic has been utilized to inscribe tilted fiber Bragg grating with a tilt angle of 10°, while the etching has been accomplished with hydrofluoric acid. A composite of polyethylenimine (PEI)/poly(acrylic acid) (PAA) has been thermally deposited on the etched TFBG, followed by immobilization of probe DNA (pDNA) on this deposited layer. The hybridization of pDNA with the complementary DNA (cDNA) has been monitored using wavelength-dependent interrogation. The reproducibility of the probes has been demonstrated by fabricating three identical probes and their response has been investigated for cDNA concentration ranging from 0 µM to 3 µM. The maximum sensitivity has been found to be 320 pm/µM, with the detection limit being 0.65 µM. Furthermore, the response of the probes towards non-cDNA has also been investigated in order to establish its specificity.

First case report of Cyclosporiasis from eastern India: Incidence of Cyclospora cayetanensis in a patient with unusual diarrheal symptoms.

Cyclospora cayetanensis, a recently described coccidian parasite causes severe gastroenteric disease worldwide. Limited studies are found on the incidence of C. cayetanensis infection from India; hence remains largely unknown. To date, no case of cyclosporiasis from eastern India has been reported. In this study, we described an incidental case of C. cayetanensis in a 30 years old Bengali female patient with no travel history from eastern India. In June 2022, the patient presented with a history of diarrhoea persisting for more than two months with continuous passage foul smelling stools for which she took multiple antibiotics that were ineffective. There were no Salmonella, Shigella, or Vibrio-like organisms in the patient's faecal sample, and Toxin A/B of Clostridium difficile was also not detected by ELISA. The patient was HIV-negative. Finally, UV autofluorescence and DNA-based diagnosis confirmed the presence of C. cayetanensis, and the treatment with a combination of appropriate antibiotics was successful. This case report could raise awareness about C. cayetanensis associated diarrhoeal cases in India.

Evaluation of the properties of Bungarus caeruleus venom and checking the efficacy of antivenom used in Bangladesh for its bite treatment.

As a disaster-prone country with unique geographical features, snake biting is a major public health concern in Bangladesh. The primary reasons of mortality from snakebite include late presentation to the hospital, low efficacy of antivenom, and a lack of adequate management facilities. Because snake venom characteristics vary depending on geographical location, antivenom should be manufactured from snakes native to the region in which it would be administered. Bungarus caeruleus is a highly venomous snake contributing to the major snakebite issue in Bangladesh. Therefore, the neutralization efficacy of the antivenom against B. caeruleus venom was evaluated in the current study along with the characterization of venom. For biological characterization of venom, RP-HPLC and SDS-PAGE profiling, hemolytic activity, hemorrhagic activity, phospholipases A2 (PLA2) activity, edema inducing activity and histopathological observations were carried out following standard protocol. LD50 of the venom was calculated along with neutralization potency of Incepta antivenom through probit analysis. Results showed that venom possesses phospholipase A2 activity, hemolytic activity and edema inducing activity while hemorrhagic activity was absent in the skin of envenomed mice. Histopathological alterations including necrosis, congestion and infiltrations were observed in envenomed mice organs after hematoxylin and eosin staining. Neutralization study showed that Incepta polyvalent antivenom could neutralize (potency 0.53 mg/ml) the lethal effect in in vitro study on mice. Further investigation on snakebite epidemiology and clinical observations of the envenomed patients will help in combating the snakebite problem more efficiently.

Electrical experimental data collection of polycrystalline and monocrystalline photovoltaic modules in an indoor environment using artificial sun simulator.

In the twenty-first century, energy sustainability and reliability are one of the major challenges in the world and prime factors of the national development plan. Recently, Solar PV is gaining popularity and making a significant effect as an alternative to fossil fuels due to reduction of cost and enhanced efficiency. However, the production performance of Solar PV over the period gets significantly impacted owing to a variety of problems such as dust, aging due to shading and soiling over the cell, hot spot, discoloration and corrosion for excessive atmospheric temperature, inadequate solar light, cell damage, and so on. In this research, a low-cost halogen-based artificial sun simulator is developed and deployed to examine the electrical properties of Solar PV in indoor conditions. Two monocrystalline and three polycrystalline PV panels under Standard Test Conditions, as well as a prototype 5 × 8 PV array, using this artificial light source, were evaluated rigorously for experimental purposes. With the help of a microcontroller-based I-V tracer and an actual data storage system, Open Circuit Voltage (Voc), Short Circuit Current (Isc), Maximum Power Voltage (Vmp), Maximum Power Current (Imp), and Maximum Power (Pmax) at three irradiance levels were measured and recorded. Utilizing Microsoft Excel software, the data logger's recorded data were analyzed and I-V and P-V curves were plotted. These data are extremely valuable for obtaining a good understanding of the validity of the Sun Simulator and the rate of deterioration of solar PV performance depending on irradiance. These data will aid the research community in future research regarding PV array performance monitoring, corresponding solution modeling, and developing cost-effective installation of large-scale PV arrays.

Characterizing the Aging Process of the Human Eye: Tear Evaporation, Fluid Dynamics, Blood Flow, and Metabolism-Based Comparative Study.

Eye temperature and intraocular pressure are two measurable parameters that can be monitored as a health index with aging. Deviations from the normal range of intraocular pressure and temperature lead to the formation of many diseases. This study has been carried out to evaluate the relations between the physiological and anatomical changes of the eye with aging using mathematical modeling. 2D computer-aided design of the human eye has been developed for two major groups: 21 to 30 years and 41 to 50 years. The computer simulation has been carried out to determine the effects of physiological changes of tear evaporation, fluid dynamics, blood flow, and metabolism of eye tissues with aging. The simulation has been carried out in the standing and the supine position of a human body. The rate of temperature change is - 0.0075 K per year in the standing position and - 0.007 K per year in the supine position because of the modeled anatomical and physiological effects. All the three simulation parameters of this study, the temperature of the human eye, the intraocular pressure, and the aqueous humor flow velocity, have been compared with the recent practical and simulation-based experiments to validate our results.

Direct Ink Writing: A 3D Printing Technology for Diverse Materials.

Additive manufacturing (AM) has gained significant attention due to its ability to drive technological development as a sustainable, flexible, and customizable manufacturing scheme. Among the various AM techniques, direct ink writing (DIW) has emerged as the most versatile 3D printing technique for the broadest range of materials. DIW allows printing of practically any material, as long as the precursor ink can be engineered to demonstrate appropriate rheological behavior. This technique acts as a unique pathway to introduce design freedom, multifunctionality, and stability simultaneously into its printed structures. Here, a comprehensive review of DIW of complex 3D structures from various materials, including polymers, ceramics, glass, cement, graphene, metals, and their combinations through multimaterial printing is presented. The review begins with an overview of the fundamentals of ink rheology, followed by an in-depth discussion of the various methods to tailor the ink for DIW of different classes of materials. Then, the diverse applications of DIW ranging from electronics to food to biomedical industries are discussed. Finally, the current challenges and limitations of this technique are highlighted, followed by its prospects as a guideline toward possible futuristic innovations.

A student led computational screening of peptide inhibitors against main protease of SARS-CoV-2.

The main protease of SARS-CoV-2 is a promising drug target due to its functional role as a catalytic dyad in mediating proteolysis during the viral life cycle. In this study, experimentally proven 14 HIV protease peptides were screened against the main protease of SARS-CoV-2. Fourteen middle and high school "student researchers" were trained on relevant computational tools, provided with necessary biological and chemical background and scientific article writing. They performed the primary screening via molecular docking and the best performing complexes were subjected to molecular dynamics simulations. Molecular docking revealed that HIP82 and HIP1079 can bind with the catalytic residues, however after molecular dynamics simulation only HIP1079 retained its interaction with the catalytic sites. The student researchers were also trained to write scientific article and were involved with drafting of the manuscript. This project provided the student researchers an insight into multi-disciplinary research in biology and chemistry, inspired them about practical approaches of computational chemistry in solving a real-world problem like a global pandemic. This project also serves as an example to introduce scientific inquiry, research methodology, critical thinking, scientific writing, and communication for high school students.

Improvement of lipid profile and hepatic oxidative stress in high-fat-diet induced hyperlipidemic Swiss albino rats by Piper betle juice: evidences from in vivo and in silico studies.

Piper betle L. leaves are very popular and traditionally used to chew with betel nut in many Asian countries. In this study, P. betle leaves juice (PBJ) was subjected to evaluation for its antihyperlipidemic activity in the high-fat-diet-induced hyperlipidemic rats model. Swiss albino rats were allowed to high-fat- diet for one month, followed by concurrent administration of PBJ for another month. The rats were then sacrificed and collected blood, tissues and organs. Pharmacokinetic, toxicological studies and molecular docking studies were performed using SwissADME, admetSAR and schrodinger suit-2017. Our investigation showed a promising effect of PBJ on body weight, lipid profile, oxidative and antioxidative enzymes, and the principle enzyme responsible for the synthesis of cholesterol. PBJ at 0.5 - 3.0 mL/rat significantly reduced body weight of hyperlipidemic rats compared to control. PBJ at the doses of 1.0, 1.5, 2.0, and 3.0 mL/rat significantly (p<0.05, p<0.01, p<0.001) improved the levels of TC, LDL-c, TG, HDL-c and VLDL-c. Similarly, PBJ doses starting from 1.0 mL/rat to 3.0 mL/rat reduced the oxidative biomarkers AST, ALT, ALP, and creatinine. The level of HMG-CoA was significantly reduced by PBJ doses 1.5, 2, and 3 ml/rat. A number of compounds have been found to have good pharmacokinetic profile and safety and 4-coumaroylquinic acid exerted the best docking score among them. Thus our findings clearly demonstrated the potential lipid-lowering activities of PBJ both in vivo and in silico studies. PBJ can be a good candidate for the development of antihyperlipidemic medication or as an alternative medicine.

Clinical manifestations and socio-demographic status of COVID-19 patients during the second-wave of pandemic: A Bangladeshi experience.

BACKGROUND: Bangladesh is a densely populated country with a substandard healthcare system and a mediocre economic framework. Due to the enormous number of people who have been unaware until now, the development of COVID-19's second-wave infection has become a severe threat. The present investigation aimed to characterize the clinical and socio-demographic characteristics of COVID-19 in Bangladesh. METHODS: A cross-sectional analysis was carried out from all the other COVID-19 patients and confirmed by RT-PCR undergoing a specialized COVID-19 hospital. From March 1 to April 15, 2021, a total of 1326 samples were collected. Samples were only obtained from non-critical COVID-19 patients as critically ill patients required emergency intensive care medications. Then, from April 17 to May 03, 2021, SARS-CoV-2 infection and clinical assessment was performed based on interim guidelines from the WHO. The diagnosis was conducted through RT-PCR. Later, identifying the symptomatic and asymptomatic patient based on checking the Clinical Observation Form (COF). The patients filled the COF form. Finally, statistical analyses were done using the SPSS 20 statistical program. RESULTS: In this investigation, a total of 326 patients were diagnosed as COVID-19 positive. Among them, approximately 19.02% (n = 62) were asymptomatic, and 80.98% (n = 264) were symptomatic. Here, the finding shows that the occurrence of this infection was varied depending on age, sex, residence, occupation, smoking habit, comorbidities, etc. However, Males (60.12%) were more affected than females (39.88%), and, surprisingly, this pandemic infected both urban and rural residents almost equally (urban = 50.92%; rural = 49.08%). Approximately 19% of the asymptomatic and 62% of symptomatic cases had at least one comorbid disorder. Interestingly, an unexpected result was exhibited in the case of smokers, where non-smokers were more affected than smokers. The study indicates community transmission of COVID 19, where people were highly infected at their occupations (35.58%), at houses (23.93%) and by traveling (12.88%). Noteworthy, according to this report, a large number (19.33%) of individuals did not know exactly how they were contaminated with SARS-CoV-2. Patients were most commonly treated by an antibiotic 95.09%, followed in second by corticosteroid 46.01%. Anti-viral drugs, remdesivir, and oxygenation are also needed for other patients. Among those, who were being treated, approximately 69.33% were isolated at home, 27.91% were being treated at dedicated COVID-19 hospitals. Finally, 96.63% were discharged without complications, and 0.03% has died. CONCLUSION: This investigation concludes that males became more infected than females. Interestingly, both urban and rural people became nearly equally infected. It noticed community transmission of SARS-CoV-2, where people were highly infected at their workplaces. A higher rate of silent transmission indicates that more caution is needed to identify asymptomatic patients. Most of the infected people were isolated at home whereas nearly one-fourth were treated at hospitals. Clinically, antibiotics were the most widely used treatment. However, the majority of the patients were discharged without complications. The current investigation would be helpful to understand the clinical manifestations and socio-demographic situations during the second wave of the COVID-19 pandemic in Bangladesh.

Recent Advances in the Application of Glycan-Modified Self-Assembled Monolayers.

Glycans have many important roles in human health and disease in processes such as infection, fertilization, cellular development, cellular adhesion, cancer metastasis and immune system response. The presentation of glycan structures on surfaces for screening of their interaction with protein binding partners, interactions with individual cells, and development of bioassays is an actively developing field. Self-assembled monolayers (SAMs) of glycan terminated alkanethiols on gold have found application in many of these areas. Additionally, more complex structures such as glycan modified polymers on gold surfaces have provided new routes for multivalent glycan presentation. Glycans have also been conjugated to monolayers formed on other useful substrates such as glass or silicon wafers. SAMs have been formed both by direct immobilization of glycan terminated alkanethiols and by conjugation of glycans to pre-formed SAMs with reactive terminal groups. The structure of the SAMs has been characterized using a range of methods including surface spectroscopy, scanning probe microscopy, and electrochemical methods. The binding of proteins to these SAMs has been followed using methods including surface plasmon resonance and electrochemical techniques such as impedance spectroscopy. In this chapter, we will seek to review the recent literature concerning SAMs containing terminal glycans, with a focus on their biomolecular interactions. The applications of these glycan-modified SAMs to the screening and study of protein and cellular binding and to biosensor and assay development will be reviewed.

Nanomaterials for Biosensing Lipopolysaccharide.

Lipopolysaccharides (LPS) are endotoxins, hazardous and toxic inflammatory stimulators released from the outer membrane of Gram-negative bacteria, and are the major cause of septic shock giving rise to millions of fatal illnesses worldwide. There is an urgent need to identify and detect these molecules selectively and rapidly. Pathogen detection has been done by traditional as well as biosensor-based methods. Nanomaterial based biosensors can assist in achieving these goals and have tremendous potential. The biosensing techniques developed are low-cost, easy to operate, and give a fast response. Due to extremely small size, large surface area, and scope for surface modification, nanomaterials have been used to target various biomolecules, including LPS. The sensing mechanism can be quite complex and involves the transformation of chemical interactions into amplified physical signals. Many different sorts of nanomaterials such as metal nanomaterials, magnetic nanomaterials, quantum dots, and others have been used for biosensing of LPS and have shown attractive results. This review considers the recent developments in the application of nanomaterials in sensing of LPS with emphasis given mainly to electrochemical and optical sensing.

iRSpot-SF: Prediction of recombination hotspots by incorporating sequence based features into Chou's Pseudo components.

Recombination hotspots in a genome are unevenly distributed. Hotspots are regions in a genome that show higher rates of meiotic recombinations. Computational methods for recombination hotspot prediction often use sophisticated features that are derived from physico-chemical or structure based properties of nucleotides. In this paper, we propose iRSpot-SF that uses sequence based features which are computationally cheap to generate. Four feature groups are used in our method: k-mer composition, gapped k-mer composition, TF-IDF of k-mers and reverse complement k-mer composition. We have used recursive feature elimination to select 17 top features for hotspot prediction. Our analysis shows the superiority of gapped k-mer composition and reverse complement k-mer composition features over others. We have used SVM with RBF kernel as a classification algorithm. We have tested our algorithm on standard benchmark datasets. Compared to other methods iRSpot-SF is able to produce significantly better results in terms of accuracy, Mathew's Correlation Coefficient and sensitivity which are 84.58%, 0.6941 and 84.57%. We have made our method readily available to use as a python based tool and made the datasets and source codes available at: https://github.com/abdlmaruf/iRSpot-SF. An web application is developed based on iRSpot-SF and freely available to use at: http://irspot.pythonanywhere.com/server.html.

A systematic study of segregation for Zn(x)Bi(1-x) liquid binary alloys.

We have investigated the segregating properties of Zn(x)Bi(1-x) liquid binary alloys through the thermodynamic route that involves both energy of mixing and entropy of mixing. The perturbation approach is used for effective numerical calculations. Results of our calculations agree well with corresponding experimental data for energy and entropy of mixing in the mixed state. The final prediction of segregating properties such as critical concentration and critical temperature also matches reasonably well with experimental data. Most importantly, both energy of mixing and entropy of mixing have produced almost same values for critical concentration and critical temperature of segregation and thus confirm the reliability of the present approach.

Prevalence of musculoskeletal symptoms and associated factors: A cross-sectional study of metal workers in Bangladesh.

BACKGROUND: There is a scarcity of evidence regarding musculoskeletal symptoms prevalence among metal workers at different worksites in Bangladesh. OBJECTIVE: To determine the prevalence of musculoskeletal symptoms and associated factors among metal workers in Dhaka, Bangladesh. METHOD: This cross-sectional study was performed in 5 out of 12 randomly selected metal tools manufacturing factories in Dhaka, Bangladesh. A total of 60 eligible participants (45 male and 15 female) were asked to complete the short Bengali version of the Dutch Musculoskeletal Questionnaire. In addition, observations within the workplace were performed using a predesigned checklist for identifying ergonomic risk factors. RESULTS: Prevalence of musculoskeletal symptoms during the last 12 months preceding data collection was reportedly 85%. Body regions reported to be most affected were upper back and lower back, then the wrist. Socio-demographic factors were not found to be significantly associated with musculoskeletal symptoms. In contrast, awkward posture and repetitive movement were significantly related to reports of musculoskeletal symptoms for the last 12 months preceding data collection. CONCLUSION: Results conclude that there is a high reported prevalence of musculoskeletal symptoms among metal workers, calling for an action on prevention and promotion in the work environment.