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Introduction: Retired armed forces personnel constitute a large group of population whose treatment is ensured by the armed forces. Their disease prevalence and medicine use pattern will help the authority to take more effective decision for managing their ailments. Objectives: To observe the medicine use patterns and disease prevalence among retired armed forces personnel. Materials and Methods: This cross-sectional prescription evaluation was carried out on 546 prescriptions obtained from Others Rank (ORs) Pharmacy of Combined Military Hospital (CMH), Dhaka from mid June to mid July, 2020. According to World Health Organization’s (WHO) core prescribing indicators analysis, number of drugs/prescription, percentage of drug written in generic name, percentage of prescription with an injection, percentage of prescription with antimicrobials and percentage of prescription containing local purchase drugs were calculated. Results: All the patients were male and their age ranges from 38 to 84 years with mean age of 58.6 years. Half of the patients were in 55 to 64 years age groups. About 43% patients had two chronic diseases. The average number of drugs per prescription was 5.3 drugs. Patients with single disease required less number of drugs/prescription (3.7) compared to patients having two (5.6) and multiple diseases (8.2). Hypertension was the most frequent diagnosis (n=330) and diabetes was the 2nd frequent diseases (n=307). Conclusion: The average number of drug per prescription corresponds to the number of diseases. The retired armed forces personnel with active adult life (55-64 years) suffer more than the elderly (more than 65). Hypertension and diabetes mellitus are the most prevalent diseases. JAFMC Bangladesh. Vol 18, No 1 (June) 2022: 12-15

Multidrug-resistant (MDR) foodborne pathogens have created a great challenge to the supply and consumption of safe & healthy animal-source foods. The study was conducted to identify the common foodborne pathogens from animal-source foods & by-products with their antimicrobial drug susceptibility and resistance gene profile. The common foodborne pathogens Escherichia coli (E. coli), Salmonella, Streptococcus, Staphylococcus, and Campylobacter species were identified in livestock and poultry food products. The prevalence of foodborne pathogens was found higher in poultry food & by-product compared with livestock (p < 0.05). The antimicrobial drug susceptibility results revealed decreased susceptibility to penicillin, ampicillin, amoxicillin, levofloxacin, ciprofloxacin, tetracycline, neomycin, streptomycin, and sulfamethoxazole-trimethoprim whilst gentamicin was found comparatively more sensitive. Regardless of sources, the overall MDR pattern of E. coli, Salmonella, Staphylococcus, and Streptococcus were found to be 88.33%, 75%, 95%, and 100%, respectively. The genotypic resistance showed a prevalence of blaTEM, blaSHV, blaCMY, tetA, tetB, sul1, aadA1, aac(3)-IV, and ereA resistance genes. The phenotype and genotype resistance patterns of isolated pathogens from livestock and poultry had harmony and good concordance, and sul1 & tetA resistance genes had a higher prevalence. Good agricultural practices along with proper biosecurity may reduce the rampant use of antimicrobial drugs. In addition, proper handling, processing, storage, and transportation of foods may decline the spread of MDR foodborne pathogens in the food chain.

Our research was conducted to investigate the currency and causative agents of dental carries with antibiotic sensitivity tests in Tasmia dental clinics, Saidpur, Nilphamari of Bangladesh. A total of 200 suspecting patients (20 to above 60 years old) were selected, standard bacteriological methods and molecular techniques were applied in this research. Out of overall patients, 55.83% had dental caries located at molar teeth, 27.5% between molar and premolar, 12.5% at incisor, and 4.17% at cervical margin. Dental caries was (P0.05) rate than male (53.95%) patients. Dental caries was significantly (PStaphylococcus spp. (33.33%), followed by E. coli (25.0%), Streptococcus spp. (20.0%), Acromobacter xylosoxidans (16.67%), and Pseudomonas spp. (5.0%), respectively. Acromobacter_ xylosoxidans_strain_LMG_1863 was identified with 144bp in this research. Antibiotic sensitivity test revealed that A. xylosoxidans and E. coli were resistant to more than six antibiotics where Pseudomonas spp were resistant except Ciprofloxacin and colistin. A frightening situation was that many Staphylococcus and Streptococcus species bacteria were extremely resistant to 4, 5, and more than six antibiotics, respectively. Toothpaste containing triclosan and fluoride, as an alternative to antibiotics, can help prevent dental cavities.

Current research work was carried out for the detection of potential bacterial pathogen and aflatoxigenic fungi Aspergillus spp. from grain comprising [Rice (5), Maize (5), Wheat (5), Khessari dal (5) and Anchora dal (5)] were collected from 3 different local markets of Dinajpur District, Bangladesh. 15 bacterial isolates comprising 4 genera of bacteria were found from a total of 25 samples. The isolated bacteria were Staphylococcus spp., Escherichia coli, Klebsiella spp., Salmonella spp. with 16%, 28%, 16% and 16% prevalence respectively. Antibiogram studies revealed that overall effective drugs against isolated bacteria were Ciprofloxacin followed by Gentamycin. But resistant drugs were Penicillin, Vancomycin, Erythromycin, Kanamycin, and Amoxicillin. The variation in the sensitivity of common antibiotic could be the result of extensive and indiscriminate use of these antibiotics. Aspergillus spp. was isolated from 4-grain samples with 16% prevalence. But aflatoxigenic Aspergillus spp. was isolated from 3 samples with 12% prevalence. From the wheat samples and maize, the aflatoxigenic fungus was isolated and their prevalence in maize, wheat was 40% and 20% respectively. Their early detection can help to take preventive measures to combat economic and health losses. The study showed that earlier detections can be made by simple traditional identifications using macro and micromorphological fungal features rather than adopting the time and cost consuming molecular identification techniques.

This study was conducted to evaluate the toxic effects of an azo dye carmoisine widely used in foods and to investigate its relation to carcinogenicity. Carmoisine administered into mice orally in four different doses as control, low, medium, and high equivalent to 0, 4, 200, and 400 mg/kg bw, respectively, for 120 days. The key toxicological endpoint was observed including animal body weight, organ weights, hematology, biochemistry, and molecular biology assessment. The body weights of medium‐ and high‐dose carmoisine‐treated mice group were significantly decreased as compared to the control mice group. Platelet, white blood cell and monocyte counts of treated group were considerably higher, while Hb and red blood cell counts were drastically lower than the control group. The biochemical parameters such as serum alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, total protein, globulin, urea, and creatinine level were significantly increased, while serum cholesterol level was decreased after treatment as compared to the control. RT‐PCR results showed that expression of Bcl‐x and PARP gene was intensively increased, whereas expression of p53 gene was decreased in the mouse liver tissues treated with carmoisine. This study revealed that high‐dose (400 mg/kg bw) treatment of carmoisine was attributable to renal failure and hepatotoxicity. It also would be suspected as a culprit for liver oncogenesis.

Climate change is and will continue to have significant implications for agricultural systems. While adaptation to climate change should be the priority for smallholder production systems, adoption of cost-effective mitigation options in agriculture not only contributes to food security but also reduces the extent of climate change and future adaptation needs. Utilizing management data from 16,413 and 12,548 crop and livestock farmers and associated soil and climatic data, we estimated GHG emissions generated from crop and livestock production using crop and livestock models, respectively. Mitigation measures in crop and livestock production, their mitigation potential and cost/benefit of adoption were then obtained from literature review, stakeholder consultations and expert opinion. We applied the identified mitigation measures to a realistic scale of adoption scenario in the short- (2030) and long-term (2050). Our results were then validated through stakeholders consultations. Here, we present identified mitigation options, their mitigation potentials and cost or benefit of adoption in the form of Marginal Abatement Cost Curves (MACC). Based on our analysis, total GHG emissions from agricultural sector in Bangladesh for the year 2014–15 is 76.79 million tonne (Mt) carbon-dioxide equivalent (CO2e). Business-as-usual GHG emissions from the agricultural sector in Bangladesh are approximately 86.87 and 100.44 Mt CO2e year−1 by 2030 and 2050, respectively. Adoption of climate-smart crop and livestock management options to reduce emissions considering a realistic adoption scenario would offer GHG mitigation opportunities of 9.51 and 14.21 Mt CO2e year−1 by 2030 and 2050, respectively. Of this mitigation potential, 70–75% can be achieved through cost-saving options that could benefit smallholder farmers. Realization of this potential mitigation benefit, however, largely depends on the degree to which supportive policies and measures can encourage farmers' adoption of the identified climate smart agricultural techniques. Therefore, government should focus on facilitating uptake of these options through appropriate policy interventions, incentive mechanisms and strengthening agricultural extension programs.

The current study was conducted to isolate and identify multidrug-resistant Staphylococcus aureus (MDR-SA) from mastitis milk samples and to determine their antimicrobial susceptibility pattern. A total of 48 bovine mastitis (BM) milk samples were collected from different parts of the Rangpur division, Bangladesh. After the collection of milk samples, mastitis was confirmed using the California mastitis test. Isolation and identification of Staphylococcus aureus were performed using conventional cultural and biochemical tests as well as using molecular methods of PCR. Nucleotide sequence analysis of the 23S rRNA gene of Staphylococcus aureus was determined. The antibiogram of the isolated bacteria was conducted using the disc diffusion method. Phylogenetic analysis of 23S rRNA was done using MEGA 7, ClustalW multiple sequence alignment, and NCBI-BLAST tools, where the sequence of the isolate showed 98% to 99% identity. Antibiogram test using 15 antimicrobial agents showed that all of the Staphylococcus aureus isolates were classified as multidrug-resistant (MDR). It was found that the isolates were resistant to tetracycline, novobiocin, methicillin, vancomycin, and cephradine, and the isolates were sensitive to ciprofloxacin, azithromycin, norfloxacin, levofloxacin, gentamicin, and amoxicillin. The detection of MDR-SA in mastitis milk is alarming and represents a great public health concern. The findings of the present study help identify Staphylococcus aureus at the molecular level using 23S rRNA gene sequencing and will help select the appropriate and effective antimicrobial agent to control BM in the northern part of Bangladesh.

Circulating cancer stem cells (CCSCs), a rare circulating tumor cell (CTC) type, recently arose as a useful resource for monitoring and characterizing both cancers and their metastatic derivatives. However, due to the scarcity of CCSCs among hematologic cells in the blood and the complexity of the phenotype confirmation process, CCSC research can be extremely challenging. Hence, we report a nanoparticle-mediated Raman imaging method for CCSC characterization which profiles CCSCs based on their surface marker expression phenotypes. We have developed an integrated combinatorial Raman-Active Nanoprobe (RAN) system combined with a microfluidic chip to successfully process complete blood samples. CCSCs and CTCs were detected (90% efficiency) and classified in accordance with their respective surface marker expression via completely distinct Raman signals of RANs. Selectively isolated CCSCs (93% accuracy) were employed for both in vitro and in vivo tumor phenotyping to identify the tumorigenicity of the CCSCs. We utilized our new method to predict metastasis by screening blood samples from xenograft models, showing that upon CCSC detection, all subjects exhibited liver metastasis. Having highly efficient detection and noninvasive isolation capabilities, we have demonstrated that our RAN-based Raman imaging method will be valuable for predicting cancer metastasis and relapse via CCSC detection. Moreover, the exclusion of peak overlapping in CCSC analysis with our Raman imaging method will allow to expand the RAN families for various cancer types, therefore, increasing therapeutic efficacy by providing detailed molecular features of tumor subtypes.

This data article provides spatially explicit data on greenhouse gas (GHG) emissions and mitigation potential at various administrative levels for the whole of Bangladesh. The results arising from analysis of this database are presented in research article “Quantifying opportunities for greenhouse gas emissions mitigation using big data from smallholder crop and livestock farmers across Bangladesh” [1]. We collected crop and livestock management data and associated soil and climatic data from variety of primary and secondary sources outlined below in our methodology. The datafiles on crops and livestock contain model outputs for three greenhouse gases (CO2, CH4 and N2O) and their global warming potential, which are linked, to the information on crop/livestock management, soil and climatic conditions presented in the supplementary data of the associated manuscript. The datafiles on mitigation potential contain district-level annual GHG mitigation potential by 2030 and 2050 segregated by different crops/livestock types and mitigation options. This dataset is useful for Bangladesh's GHG accounting from the agricultural sector, and can be used to update its nationally determined contributions. Administrative level emissions and mitigation potential estimates segregated by crop-livestock types and mitigation options are useful to prioritize agricultural research and development interventions consistent with food security and environmental goals and to organize agricultural extension and support services to better inform farmers on food production and move towards GHG mitigation goals.

In situ monitoring of drug release in cancer cells is very important for real-time assessment of drug release dynamics in chemotherapy. In this study, we report label-free in situ monitoring and control of intracellular anti-cancer drug delivery process using biohybrid nanoparticles based on surface-enhanced Raman spectroscopy (SERS) for the first time. Each biohybrid nanoparticle consisted of gold nanoparticle, cell-penetrating peptide (Tat peptide), and cancer-targeting antibody to increase the efficacy of the anti-cancer drug delivery with specific targeting and increased uptake rate. The doxorubicin (Dox)-loaded biohybrid nanoparticles were showed specific SERS spectra of Dox, specifically immobilized on the target cell membrane and quickly penetrated into the cells when treated on the mixed cell culture condition. The intracellular release of Dox from the biohybrid nanoparticle was continuously monitored with time-dependent change of intracellular SERS signals of Dox. The releasing rate of Dox was successfully controlled with the addition of glutathione on the cells. The anti-cancer effect of intracellular released Dox was confirmed with cell viability assay. With the proposed monitoring system, specific cancer cell targeting and improved uptake of the anti-cancer drug were detected and time-dependent intracellular release of the anti-cancer drug was monitored successfully. The proposed novel in situ monitoring system can be used as a spectroscopic analysis tool for label-free monitoring of the time-dependent release of various kinds of anti-cancer drugs inside cells.

Control of stem cell fate by modulating biophysical cues (e.g., micropatterns, nanopatterns, elasticity and porosity of the substrates) has emerged as an attractive approach in stem cell-based research. Here, we report a method for fabricating combinatorial patterns of graphene oxide (GO) to effectively control the differentiation of human adipose-derived mesenchymal stem cells (hADMSCs). In particular, GO line patterns were highly effective for modulating the morphology of hADMSCs, resulting in enhanced differentiation of hADMSCs into osteoblasts. Moreover, by generating GO grid patterns, we demonstrate the highly efficient conversion of mesodermal stem cells to ectodermal neuronal cells (conversion efficiency = 30%), due to the ability of the grid patterns to mimic interconnected/elongated neuronal networks. This work provides an early demonstration of developing combinatorial graphene hybrid-pattern arrays for the control of stem cell differentiation, which can potentially lead to more effective stem cell-based treatment of incurable diseases/disorders.

In this paper we present the implementation of proportional integral derivative (PID) controlled mobile robot. we propose a mobile robot control method which based on optical encoder. First, the mobile robot counts the number of pulses from optical sensor. This system rejects the denouncing and optical sensor noises and makes a precise count of both the wheel rotation at the same time. Then through an adaptive PID control loop it controls the speed of both the motors to reach user defined set point. PID auto tuning methods are performed in different situations like on air, on ground and with load increase. This system detects the situation the robot at present and switches between its different modes to achieve the quickest maximum efficiency. Speed of each motor is controlled by Pulse Width Modulation (PWM). Finally, we experiment in a real environment, and verify the utility of the propose method.

This paper discusses GSM based global wireless sensor network to measure increase of global warming & air pollution. Each motes of the wireless sensor network can cover the area wherever GSM network is available. Each mote consists of temperature, humidity & co2 measuring sensors, equipped with low power consuming GSM module, data logging facility & real time stamp. Motes can communicate with each other but most of the time they communicate with the central receiver. Central receiver is capable of receiving calls from modes, display the data in portable TFT LCD screen & also transmit data to computer through USB. To transmit data sensors generate call to receive station. To receive data receiver first verify the caller ID and then it receives the call. Sensors send or receive data through Dual tone multi frequency (DTMF) and will receive commands through DTMF also. Lots of control system has been designed using DTMF but in this project DTMF tones are used to create all characters of an ASCII table. The number of motes can be connected are unlimited and the coverage area is also unlimited in this project. General Terms Wireless Sensor Network, GSM, DTMF, Sensors.

Raman spectroscopy, as a nondestructive spectral technique, served as an efficient tool for investigating the molecular information of complex biological systems including cells. But the limitation of the technique is its low signal intensity. This inherent problem can be overcomed by using surface-enhanced Raman scattering (SERS) technique. SERS can be achieved by roughening the surface of a substrate with noble metal nanoparticles. But preparation of homogenous SERS substrate with higher enhancement property is a big challenge. In this study, we report a homogenous gold (Au) nanosphere deposited ITO substrate that can significantly increase the Raman signals from analytes. By using this substrate we successfully characterize and distinguish two different sub-types of breast cancer cells. SERS method is simple, label free and non-toxic. Our newly developed Au nanosphere deposited substrate can be used as an effective platform for molecular detection, characterization, and distinguishing different cells originated from same or different organs.

The effectiveness of commercially available disinfectants was evaluated against Salmonellae isolated from different internal organs of 52 numbers of dead layer chickens in the district of Dinajpur during the period from July 2009 to June 2010. Bacterio-biochemical methods were used to isolate and identify the Salmonella organisms from 154 samples of liver, spleen, heart and lungs of birds, of which 36 (23.38%) samples had Salmonella infection. Organ-wise prevalence of Salmonella infection showed highest prevalence in liver ( 34.62%), followed by spleen (23.087%) , heart (20.00%) and lowest in lungs (4.00%). Effectiveness of disinfectants was tested at different concentration on Salmonella culture on SS agar media and measured by zone of inhibition incubated for 24 hours. Highest average zone of inhibition was recorded with Desinkap® (12.50 ± 2.08), followed by GPC (8) TM ® (11.33 ± 1.53) , and more or less similar patterns with TH 4 ® ( 10.50 ± 0.71), Virocid ® ( 10.50 ± 0.71) and Lysol ® ( 10.00 ± 0.00). It may be concluded from these results that Desinkap® is the most effective disinfectant against Salmonellae as it contains multiple ingredients.DOI = http://dx.doi.org/10.3329/bjvm.v9i1.11211 Bangl. J. Vet. Med. (2011). 9(1): 43-52

Petroleum based mineral oils have been used for liquid insulation in high voltage equipment since long time ago. Despite the obvious popularity over time, these oils have been found to be lacking in property requirement and most importantly in their negative environmental impacts. Due to the increasing awareness and sensitivity regarding environmental concerns, there is a need for either an alternative or a total replacement since petroleum is one of non-renewable energy source and may be gone one day. In this research, vegetable oils which have been studied in order to investigate the potentiality and suitability which could be a replacement of mineral oil. However, the selection of a typical dielectric fluid depends on its physico-chemical and electrical properties beside the nature of the service it will perform. For the physico-chemical properties, the parameters investigated are density, kinematic viscosity, flash point, fire point and pour point. Then for the electrical properties are breakdown voltage, dielectric dissipation factor and relative permittivity. The study shows that the vegetable oil give preferable performance compared to mineral oil.

This paper describes degree of uniformity and electric field intensity in the gap between two electrodes subjected to high voltage which is necessary to study the behavior of insulation for design of high voltage equipments. Here, 3-D arrangements of fictitious charges and contour points in Cartesian co-ordinates are considered to find out the desired outputs for Sphere-Sphere and Sphere-Plane electrodes by using well known Charge Simulation Method (CSM), using MATLAB. Both the symmetrical and asymmetrical applied voltages are considered for the investigation. From this investigation it is revealed that more uniform electric field having degree of uniformity of η=0.5507 and 0.4394 has been obtained for symmetrical applied voltage of Sphare-Sphare and Sphare-Plane respectively, compared to η=0.3699 and 0.3428 for asymmetrically applied voltage. It is also found that the probability of insulation breakdown is greater near the High Voltage electrode compared to other portion of the dielectric. The developed computer program can be used in designing HV equipments.