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Metagenomic analysis provides in-depth understanding of microbe mediated Arsenic (As) metabolism. The present study aims atmetagenomic analysis of the distribution, diversity, and abundance of bacteriome in arsenic affected groundwater and surrounding soils collected fromBogra district of Bangladesh. Metagenomic DNA was extracted from two groundwater samples BCW3 andBCW4 (As content10μgL-1 and 500 μgL-1, respectively), and two tube-well surrounding soil samples BSS1 and BCS5 (As content335 μgkg-1 and 492 μgkg-1),where As rich water flows off. Metagenomic analysis of six hypervariable regions of 16S rRNA gene resulted in a total of 788709 processed sequence reads and 5878 operational taxonomic units (OTUs). Bacterial richness, abundance and diversity (alpha and beta) were higher in BCW4 (85 genera) than BCW3 (19 genera) whereas both soil samples exhibited almost similar richness and diversity. Predominant genera in BCW3 were Pseudomonas, Microbacterium, Achromobacterwhereas Acinetobacter, Thiothrix, Stenotrophomonas, Paracoccus, Dechloromonas dominated in BCW4. Soils were co-dominated with more than hundreds of genera with a high relative abundance of Bacillus, Rhodoplanesand Pseudomonas.Metagenomic investigation explored potentialarsenotrophicbacteriome. Exploring microbial community might help to understand the biogeochemistry of As affected groundwater and surrounding soil environment. Bangladesh J Microbiol, Volume 39, Number 1, June 2022, pp 31-38

Cyclooxygenase-2 (COX-2) is an inducible enzyme that accelerates the biosynthesis of PGs during inflammation and has emerged as an important therapeutic target for anti-inflammatory drugs. Natural compounds may serve as a source of inspiration for pharmaceutical chemists and a foundation for developing innovative COX-2 inhibitors with fewer side effects. Therefore, the objective of this study was to identify the potent COX-2 inhibitor and anti-inflammatory activity of the Fimbristylis aestivalis whole plant extract (FAWE). The plant extract was found dominant with rosmarinic acid followed by catechin hydrate, syringic acid, rutin hydrate, (-) epicatechin, quercetin, myricetin, and catechol. FAWE exhibited considerable dose-dependent analgesic efficacy in all analgesic test models. FAWE also showed promising anti-inflammatory potential in carrageenan-induced inflammations in mice. This result was corroborated by molecular docking, revealing that the aforesaid natural polyphenols adopt the same orientation as celecoxib in the COX-2 active site. On the other hand, molecular dynamics (MD) simulations were performed between the most abundant components (rosmarinic acid, catechin hydrate, and syringic acid) and COX-2. Based on hydrogen bonding, RMSD, RMSF, radius of gyration, PCA, and Gibbs free energy landscape analysis, the results demonstrated that these compounds are very stable in the active site of COX-2, indicating substantial COX-2 inhibitory activity.

Study of a food chain model under uncertainty is quite difficult. Because, in an uncertain food chain model, the biological parameters can’t be determined accurately. The aim of this work is to study the stability and local bifurcations (Saddle–node bifurcation, Hopf bifurcation and Bogdanov–Takens bifurcation) of an imprecise prey–predator system in an uncertain environment. The proposed imprecise model is formulated by considering two more realistic factors: the effect of a fear factor on the growth rate of prey population and non-linear harvesting of predator population. To study the proposed imprecise system mathematically, the dynamical interactions between the imprecise species are presented by the system of governing interval differential equations. And to study the dynamics of the proposed imprecise system theoretically, it is modelled in a precise way by the linear parametric representation of the interval. Then all the theoretical analyses, including Saddle–node bifurcation, Hopf bifurcation and Bogdanov–Takens (BT) bifurcation of the interior equilibrium point of the proposed imprecise model are discussed in parametric form. To verify all the theoretical analyses of the proposed imprecise model, numerical simulations with interval-valued hypothetical data of the imprecise parameters are performed graphically. Finally, the work is concluded with some biological consequences.

In the yard of business organization, due to a major number of competitors and uncertainty of customers’ demand, everyone faces some disturbances for smoothly running of their business. To survive in the fierce competition some modern business policies are required and accordingly the formulation of an advanced inventory model is indispensable by handling the uncertainty of customers’ demand. In this model formulation, discount facility is considered as a business policy whereas interval valued demand is proposed to tackle the uncertainty of customers’ demand. The purpose of this work is to analyze a model with interval valued parameters for deteriorating items considering two situations (with shortages and without shortage) in the discount environment. Moreover, deterioration rate is taken into account as interval valued and unit carrying cost is supposed to be a function of the length of storage time as well as interval valued purchase cost. Also, the interval valued purchase cost is assumed to be a step function (decreasing) of lot size under discount business policy. Considering without shortage and with shortages separately, using parametric approach of interval differential equations, the proposed model is formulated in two different cases. After formulating the proposed model properly, the corresponding profit functions are obtained for two different cases (without shortage and with shortages). In order to optimize the profit, various types of meta-heuristic algorithms (weighted quantum behaved particle swarm optimization and Gaussian quantum behaved particle swarm optimization) are used and then the obtained results are compared. Finally, to justify the reality of the model, numerical illustrations are presented and also post optimality analyses are performed with the changes of known parameters.

The goal of this work is to demonstrate the optimal strategy of an inventory system for perishable goods with hybrid demand dependent on selling price and stock under the partial backlogging with a certain fixed ratio. In this system, the concept of pre-payment policy with a discount facility and fixed preservation investment are also introduced. Then, this inventory system is modelled mathematically by governing differential equations, and solving these equations, the corresponding average profit of the proposed model is obtained as a non-linear maximization problem. To check the optimality of the solution of the obtained non-linear maximization problem, some results are derived with the help of pseudo concavity and optimality conditions of the objective function of the non-linear maximization problem. Then to justify the model, three examples are taken and solved by Lingo software. Also, the concavity of the average profit is examined graphically. Finally, a post optimality analysis is performed to show the effects of known inventory parameters on the optimal policy.

The trade credit policy plays a significant role to minimize the risk or maximize the revenue from a business. Thus, the consideration of trade credit policy with single or multiple credit period(s) makes an inventory model more realistic. This work aims to establish a preservation technology-based non-instantaneous deteriorated inventory model considering multi-period-based trade credit policy and variable demand dependent on selling price of the item and displayed inventory level. For different credit periods, different rates of interest are charged. Also, different cases are investigated in formulating the mathematical model. Then to maximize the average profits in all these cases, different advanced variants of quantum-behaved particle swarm optimization techniques are applied. Thereafter all the cases of the proposed model are justified with the help of five numerical examples. Finally, in order to study the effect of the changes of different system parameters on the optimal policy, the sensitivity analyses are performed, and the work is concluded with some real-life implications and future research plans.

Mathematical decision-making is an important criterion to take the appropriate decision regarding the representation of an imprecise parameter under uncertain situations. In the existing literature...

Due to the uncertainty of market economy as well as fluctuation of customer’s demand, appropriate modelling of an inventory problem is a challenging task to the researchers/OR practitioners. In order to overcome this type of challenging situation, in this article, using the parametric approach of interval a non-deterministic inventory model for deteriorating items with partially backlogged shortages and interval-valued deterioration rate has been developed. Here, the demand rate is considered to be interval-valued and dependent upon the selling price which is also interval-valued. Also, all the parameters (like ordering cost, holding cost, etc.) except the backlogging parameter have been considered as interval-valued. The corresponding problem has been formulated as a maximization problem with an interval-valued objective. Then, to solve the said problem, we have used different variants of the QPSO algorithm with interval fitness using interval ranking. Then, the computational results have been illustrated with the help of three numerical examples. Finally, the sensitivity of the solution has been analysed with the changes in the values of different parameters associated with the model and a fruitful conclusion has been drawn.

The goal of this work is to propose a hybrid algorithm called real-coded self-organizing migrating genetic algorithm by combining real-coded genetic algorithm (RCGA) and self-organizing migrating algorithm (SOMA) for solving bound-constrained nonlinear optimization problems having multimodal continuous functions. In RCGA, exponential ranking selection, whole-arithmetic crossover and non-uniform mutation operations have been used as different operators where as in SOMA, a modification has been done. The performance of the proposed hybrid algorithm has been tested by solving a set of benchmark optimization problems taken from the existing literature. Then, the simulated results have been compared numerically and graphically with existing algorithms. In the graphical comparison, a modified performance index has been proposed. Finally, the proposed algorithm has been applied to solve two real-life problems.

An experiment was conducted under pot culture and laboratory of Seed Technology Division, BARI, Gazipur during rabi season 2020-21 to find out the effect of foliar application of Boron on plant growth, seed yield, and quality of sweet pepper. The doses of Boron were 0ppm (control), 150ppm, 200ppm, 250ppm, 300ppm and 350ppm. Boron was applied as Boric acid (17.5% B) according to treatments spraying at the pre-flowering and flowering stage in the sweet pepper plant. Maximum number of fruits per plant (4.50), fresh weight of fruit (80.25g), seeds per fruit (161), number of seeds per plant (727.25), % germination (78.25%), root length (2.75cm) of seedling, shoot length (2.94cm) of seedling, vigor index (1.833) were found when plants were supposed to foliar spraying of Boron @250ppm. The tallest plant was found from 150ppm spray. Seed quality parameters were found better in the treatment of 200 ppm boron in the case of root length, shoot length and seedling length and vigor index of the seedling. Maximum fruit length (7.70cm) with an average fresh weight of fruit (75.25g) was obtainedfrom 350ppm spray of Boron in sweet pepper.

Interval interpolation formulae play a significant role to find the value of an unknown function at some points under interval uncertainty. The objective of this paper is to establish Newton’s divided interpolation formula for interval-valued functions using generalized Hukuhara difference of intervals. For this purpose, arithmetic of intervals, Hukuhara difference and its some properties and concept of interval-valued function have been discussed briefly. Using Hukuhara difference of intervals, the definition of Newton’s divided gH-difference for interval-valued function has been introduced. Then Newton’s divided gH-differences interpolation formula has been derived. Finally, with the help of some numerical examples, the proposed interpolation formula has been illustrated.

Zingiber roseum is native to Bangladesh and widely used in folk medicine. This present study was designed to assess the ameliorative potential of Zingiber roseum rhizome extract in carbon tetrachloride (CCl4) induced hepatotoxicity in mice model. Seven phenolic compounds were identified and quantified by HPLC analysis in the plant extract, including quercetin, myricetin, catechin hydrate, trans-ferulic acid, trans-cinnamic acid, (-) epicatechin, and rosmarinic acid. Hepatotoxicity was induced by administrating a single intraperitoneal injection of CCl4 (10 mL/kg) on 7th day of treatment. The results revealed that plant extract at all doses (100, 200 and 400 mg/kg) significantly reduced (p

Though Legionella pneumophila is an opportunistic pathogen, recent reports about multi drug resistance in L. pneumophila is alarming. Annotated whole genome provides a pool of information which is applied for therapeutic drug targets identification in pathogenic bacteria. Subtractive genomic analysis is a pragmatic approach to screen the essential proteins present in pathogen but absent in host. Phylogenetically closely related L. pneumophila str. Philadelphia and L. pneumophila str. ATCC43209 protein profiles were analyzed to identify putative drug targets. Paralogous duplicate profiles were primarily discarded using CD-hit suit. Six hundred and ninety one L. pneumophila str. Philadelphia and 690 L. pneumophila str. ATCC43209 human homologous proteins were excluded using blstP. Among the human non-homologous proteins, the essential proteins for bacteria were separated using DEG tool. For both strains, one hundred and nineteen essential proteins were marked which participate in various metabolic pathways. Among them 11 unique proteins were found. Beside it, 15 and 16 exposed surface proteins were present in strain Philadelphia and ATCC43209 respectively. These unique and cell surface proteins can be utilized for effective drug and vaccine targets. Bangladesh J Microbiol, Volume 35 Number 2 December 2018, pp 102-107

Rotavirus is one of the deadliest causative agents of childhood diarrhea which causes half a million child death across the globe, mostly in developing countries. However, effective vaccine strategies against rotavirus are yet to be established to prevent these unwanted premature deaths. In this regard, in silico vaccine design for rotavirus could be a promising alternative for developing countries due to its efficiency in shortening valuable time and cost. The present study described an epitope-based peptide vaccine design against rotavirus, using a combination of T-cell and B-cell epitope predictions and molecular docking approach. To perform this, sequences of rotavirus VP7 and VP4 proteins were retrieved from the NCBI database and subjected to different bioinformatics tools to predict most immunogenic T-cell and B-cell epitopes. From the identified epitopes, the sequence VMSKRSRSL of VP7 and TQFTDFVSL of VP4 was identified as the most potential epitopes based on their antigenicity, conservancy and interaction with major histocompatability complex I (MHC-I) alleles. Moreover, the peptide VMSKRSRSL interacted with human leukocyte antigen, HLA-B*08:01 and TQFTDFVSL interacted with HLA-A*02:06 with considerable binding energy and affinity score. Combined population coverage for our identified epitopes was found 70.53% and 45.64% for world population and South Asian population respectively. All these results suggest that, the epitopes identified in this study could be a very good vaccine candidate for the strains of rotavirus circulating in Bangladesh. However, as this study is completely dependent on computational prediction algorithms, further in vivo screening is required to come up in a precise conclusion about these epitopes for effective rotavirus vaccination. Bangladesh J Microbiol, Volume 35 Number 1 June 2018, pp 45-55

Arsenotrophic bacteria play an essential role in lowering arsenic contamination by converting toxic arsenite [As (III)] to less toxic and less bio-accumulative arsenate [As (V)]. The current study focused on the qualitative and electrocatalytic detection of the arsenite oxidation potential of an arsenite-oxidizing bacteria A. xylosoxidans BHW-15 (retrieved from As-contaminated tube well water), which could significantly contribute to arsenic detoxification, accumulation, and immobilization while also providing a scientific foundation for future electrochemical sensor development. The minimum inhibitory concentration (MIC) value for the bacteria was 15 mM As (III). Scanning Electron Microscopy (SEM) investigation validated its intracellular As uptake capacity and demonstrated a substantial association with the MIC value. During the stationary phase, the strain’s As (III) transformation efficiency was 0.0224 mM/h. Molecular analysis by real-time qPCR showed arsenite oxidase (aioA) gene expression increased 1.6-fold in the presence of As (III) compared to the untreated cells. The immobilized whole-cell also showed As (III) conversion up to 18 days. To analyze the electrochemical oxidation in water, we developed a modified GCE/P-Arg/ErGO-AuNPs electrode, which successfully sensed and quantified conversion of As (III) into As (V) by accepting electrons; implying a functional As oxidase enzyme activity in the cells. To the best of our knowledge, this is the first report on the electrochemical observation of the As-transformation mechanism with Achromobactersp. Furthermore, the current work highlighted that our isolate might be employed as a promising candidate for arsenic bioremediation, and information acquired from this study may be helpful to open a new window for the development of a cost-effective, eco-friendly biosensor for arsenic species detection in the future.

Now-a-days, uncertainty conditions play an important role in modelling of real-world problems. In this regard, the aim of this study is two folded. Firstly, the concept of system of interval differential equations and its solution procedure in the parametric approach have been proposed. To serve this purpose, using parametric representation of interval and its arithmetic, system of linear interval differential equations is converted to the system of differential equations in parametric form. Then, a mixing problem with three liquids is considered and the mixing process is governed by system of interval differential equations. Thereafter, the mixing liquid is used in the production process of a manufacturing firm. Secondly, using this concept, a production inventory model for single item has been developed by employing mixture of liquids and the proposed production system is formulated mathematically by using system of interval differential equations.The corresponding interval valued average profit of the proposed model has been obtained in parametric form and it is maximized by centre-radius optimization technique. Then to validate the proposed model, two numerical examples have been solved using MATHEMATICA software. In addition, we have shown the concavity of the objective function graphically using the code of 3D plot in MATHEMATICA. Finally, the post optimality analyses are carried out with respect to different system parameters.

The marriage transaction, commonly known as dowry, is a widespread phenomenon in Bangladesh, which has inevitably attracted much attention from social science researchers. This has transformed bride wealth marriages to dowry marriages in Bangladeshi society. A dowry is what the groom’s side demands in cash and kind from the bride’s side to complete the marriage. It is a major cause of women’s oppression, which starts from diversified psychological and physical torture that finally turns into femicide. The main objective of this paper is to analyse women’s oppression because of the dowry practice through marriage as a social problem in Bangladesh. This paper also explains the various dimensions of this problem, its multiple functions in women’s oppression, the nature of oppression in its various stages before femicide and the nature of femicide. The paper draws on secondary data from Bangladesh. It is observed that women in Bangladesh are physically, psychologically and socially oppressed by their husband and his family members in many ways because of the dowry. The nature of oppression is diverse in form, but ultimately these oppressions turn into femicide. The nature of femicide is also diverse, and some fire-related deaths and the suicides of young married women are also believed to be related to dowry.