Bangladesh-India Diplomatic Relations (1975-1996): Transitions, Bilateral Disputes and Legacies

Bangladesh, born in 1971, endured her very first setback in 1975 when a bloody military coup took place, which killed the father of the nation, and subsequently, the army seized power. From then to 1990, two military dictators ruled the country for a short time as a military dictator and the rest of the time under the veil of the democratically elected President. With the fall of the Mujib government, a new diplomatic stance had taken up; from a socialist, liberal, secular, and democratic state, Bangladesh crawled down to a capitalist, conservative, Islamist and authoritarian form of state. It appears from the policy of the dictators that they had tried to satiate the people through the amendments in the constitution to shape it as an Islamist country and to satisfy the capitalist class, they replaced the moderate socialist economy into a capitalist one. An identical procedure that was implemented by the Pakistani military ruler in the pre-independence era, had been ensued by the military dictators in independent Bangladesh. The two military dictators and an elected government of the time discussed in this study tried to draw the attention of world leaders who were holding the same ideologies and interests that ran here by them. Consequently, the friendly and warm diplomatic relations with India came to an end and the foreign dependency of Bangladesh became dependent on Pakistan and pro-Pakistan friendly nations for the protection and support of the military government. China and the USA, who vigorously opposed our liberation war, became the key friends of Bangladesh in the diplomatic arena and our largest neighbor country without her help; we couldn't possibly have our independence, became an ultimate scapegoat of our newly adopted foreign policy. A new trait in politics had been intentionally indoctrinated that was the anti-Indian sentiment. From then to now, this trait has been nurtured by most of the political parties who are now out of mainstream politics. In this study, we will try to investigate the transitions, bilateral disputes, and legacies of Bangladesh's diplomatic relations with India from 1975 to 1996

Effect of Non-newtonian Behaviour on Fluid Structural Interaction for Flow Through a Model Stenosed Artery

AbstractThe cause and development of many cardiovascular diseases are related to the nature of blood flow and the mechanical behaviour of the blood vessel. Moreover, the plaque (stenosis) rapture can be occurred as a result of interaction between the blood and plaque, leading to the clot formation and stroke. In the present study, the interaction of blood flow with plaque (stenosis) was numerically modelled. A pulsatile flow was used to mimic the real blood flow through the artery. The rheological properties of blood are considered as Newtonian as well as non-Newtonian. Fibrous cap thickness was varied from 0.1mm to 2.0mm. Many vortex rings are appeared at the pre- and post-stenotic region in the Newtonian model than in the non-Newtonian model. Deformation of stenosis, wall shear stress (WSS) and vomises stress all are found high in non-Newtonian model for the fibrous cap thicknesses studied here. Moreover, in Newtonian model, the vonmises stress was found to be 6500 pa for the case of 50% stenosis with 0.1mm fibrous cap thickness on the other hand it was around 10500 pa in case of non-Newtonian model

A review on deep-learning-based cyberbullying detection

Bullying is described as an undesirable behavior by others that harms an individual physically, mentally, or socially. Cyberbullying is a virtual form (e.g., textual or image) of bullying or harassment, also known as online bullying. Cyberbullying detection is a pressing need in today’s world, as the prevalence of cyberbullying is continually growing, resulting in mental health issues. Conventional machine learning models were previously used to identify cyberbullying. However, current research demonstrates that deep learning surpasses traditional machine learning algorithms in identifying cyberbullying for several reasons, including handling extensive data, efficiently classifying text and images, extracting features automatically through hidden layers, and many others. This paper reviews the existing surveys and identifies the gaps in those studies. We also present a deep-learning-based defense ecosystem for cyberbullying detection, including data representation techniques and different deep-learning-based models and frameworks. We have critically analyzed the existing DL-based cyberbullying detection techniques and identified their significant contributions and the future research directions they have presented. We have also summarized the datasets being used, including the DL architecture being used and the tasks that are accomplished for each dataset. Finally, several challenges faced by the existing researchers and the open issues to be addressed in the future have been presented

Effect of Finishing Auxilliaries on the Color Perception of Cotton Knit Fabric Dyed with Reactive Dye

Dyed textiles are influenced by finishing treatments more or less strongly. Individual dyes as well as finishing products and conditions are responsible for this. An attempt has been made to assess the effects of some finishing auxiliaries on the color yield of reactive dyed cotton knit fabric. It was found that treatment with finishing auxiliaries decreased the shade depth to a considerable extent. The shade changes obtained after treating with fixing and soaping agent were found less than the treatment with caustic soda and combined caustic and glauber salt

DECIPHERING THE PHARMACOLOGICAL INSIGHTS OF FRACTIONATED ELATOSTEMA PAPILLOSUM WED. AND HOLIGARNA LONGIFOLIA ROXB. THROUGH IN VITRO AND IN VIVO STUDIES

The present research intended to explore the biological activities, namely acute toxicity test and hypoglycemic as well as in vitro anti-arthritic along with the antibacterial activity of crude methanol extracts with its different soluble fractions like petroleum ether (PESF), carbon tetrachloride (CTCSF), chloroform (CSF) and aqueous soluble fraction (AQSF) of Holigarna longifolia and Elatostema papillosum. Phytochemical screening was performed by established protocols. Acute toxicity and hypoglycemic effects were performed in experimental and alloxan-induced diabetic rats. In vitro anti-arthritic and antibacterial activity were conducted by protein denaturation inhibitory and disc diffusion methods. It was observed that no rats exhibit any lethality types, which reveal the safety of plant fractionates. It was also seen that both plants' fractionates showed significant (p < 0.01) activity on hyperglycemia compared to standard. Upon investigation, it was observed that crude methanol and its CS fraction of E. papillosum and only CS fraction of H. longifolia significantly (p < 0.05) inhibited denaturation of bovine serum albumin protein compared to standard diclofenac sodium. Moreover, it was observed that crude methanol extract and its CS fraction of E. papillosum showed significant inhibitory action on all Gram-positive bacteria's growth. In contrast, the PES fraction highlighted an inhibitory zone of 26.7 and 24.7 mm, respectively, towards B. subtilis and S. aureus. This study provides some support to explain the traditional uses of H. longifolia and E. papillosum.&nbsp

Comparative Study of Integrated Pest Management and Farmers Practices on Sustainable Environment in the Rice Ecosystem

Integrated pest management (IPM) is an environmentally friendly technology. IPM is a multifaceted approach to pest management that seeks to minimize negative impacts on the environment. This technique is an important step towards providing healthy, viable food for a growing global population. The focus of this study was to examine the impact of integrated pest management in a rice agroecosystem. Currently, more than 80% of farmers rely on pesticides. IPM methods employed in our study had an impact on the number of healthy tillers and hills and grain weight. The lowest percentage of dead heart (1.03) and white head (2.00) was found in the IPM treated plots. These plots had an average yield of 7.4 tonne/ha. We found that there were significant differences between the treatment and the observed percentage of dead heart, grain weight, and yield. We conclude that IPM practices are an effective strategy for obtaining high rice yields while protecting the environment and creating a more sustainable agroecosystem. Furthermore, the need for ongoing research and training on IPM methods will be essential for creating a sustainable rice agroecosystem

COMEDICATION OF RABEPRAZOLE SODIUM CAUSES POTENTIAL DRUG-DRUG INTERACTION WITH DIABETIC DRUG LINAGLIPTIN: In-vitro AND In-silico APPROACHES

Drug-drug interaction is a notable concern among physicians when prescribing multi-therapy to the patients as concomitant administration of multi-drugs might cause unexpected adverse drug reactions. The main objective of this research is to predict a potential drug-drug interaction between two frequently used drugs by diabetic patients, an antidiabetic drug (linagliptin) and a proton pump inhibitor (rabeprazole sodium). Here, several in vitro techniques, including thermal (melting point, thermogravimetric analysis [TGA]), morphological (scanning electron microscopy [SEM] and X-ray powder diffraction [XRPD] analysis), highly sophisticated synchronous fluorescence, and in silico methods were applied to anticipate the potential drug-drug interaction between these stated drugs quickly. The melting point and TGA study revealed thermochemical properties, thermal stability profiles, and degradation patterns upon temperature rising of the formed complex and these precursor drugs. The SEM and XRPD have provided the morphological changes like particle shape and size distribution of the desired molecule that might be caused due to the potential drug-drug interactions. Besides, the drastic reduction of the quenching rate constant of linagliptin during interaction with bovine serum albumin in synchronous fluorescence also endorsed the potential drug-drug interaction. Furthermore, the drug-receptor docking analysis demonstrated that the binding affinity of the precursor ligands might be reduced due to the predicted drug-drug interaction. However, the current evidence warrants extensive investigation to confirm the above-stated potential drug-drug interaction in the larger animal model. Finally, clinical data need to be closely monitored during the treatment of diabetic patients prescribed with linagliptin and rabeprazole sodium

Multi-OMICS and Molecular Biology Perspective in Buffalo Genome

The bovine species buffalo was domesticated from its wild strain Bubalus arnee and is widely used livestock in southern Asia. There are two distinct types of Buffalo- the swamp buffalo (B. bubalis kerebau) and the river buffalo (B. bubalis bubalis), which diverged from the wild Asian water buffalo and then evolved in separate geographical regions. Several research studies performed on buffalo, like- characterization of trait-specific Single Nucleotide Polymorphism (SNP), genetic and phenotypic diversity, gene prediction and function annotation, mapping of the draft genome, have helped our understanding of the buffalo genome. Some advanced discovery as identification of Single Nucleotide Variant (SNVs), Simple Sequence Repeats (SSR) marker and their association with various phenotypic traits, MicroRNA's expression profiling, whole-genome sequencing, etc. have also enabled us to track the chromosomal evolution, physiological processes, and gene expression of buffalo. Proper enhancement of these traits can lead us to apply multi-omics-based tools for better animal health and production. Recent advancement in genomic research on buffalo is being accelerated with the association of modern tools like- Genome-Wide Association Study (GWAS), genotyping by sequencing, epigenomic screening, microRNA's expression profiling, microarray technology, and whole-genome sequencing. All these tools bear great significance in breed up-gradation, identification of the phylogenetic relationship between species in proteome and genomic level, study gene expression level, diagnose diseases or developmental stages, phenotypic diversity, etc. All this knowledge paved the way for better optimization of production efficiency, product quality, and resistance to certain health hazards