EFFECT ON 360 DEGREE VIDEO STREAMING WITH CACHING AND WITHOUT CACHING

People all around the world are becoming more and more accustomed to watching 360-degree videos, which offer a way to experience virtual reality. While watching videos, it enables users to view video scenes from any perspective. To reduce bandwidth costs and provide the video with less latency, 360-degree video caching at the edge server may be a smart option. A hypothetical 360-degree video streaming system can partition popular video materials into tiles that are cached at the edge server. This study uses the Least Recently Used (LRU) and Least Frequently Used (LFU) algorithms to accomplish video caching and suggest a system architecture for 360-degree video caching. Two 360-degree videos from 48 users\u27 head movements are used in the experiment, and caching between the LRU cache and LFU cache is compared by changing the cache size. The findings demonstrate that, for varied cache sizes, utilizing LFU caching outperforms LRU caching in terms of average cache hit rate. In the first part of the research, we compared LRU and LFU caching algorithm. In the second part of the research, a suitable caching strategy model was developed based on user’s field of view. Field of view (FoV) is the term used to describe the portion of the 3600 videos that viewers typically see when watching 3600 videos. Edge caching can be a smart way to increase customer satisfaction while maximizing bandwidth usage (QoE). A 3600-video caching strategy has been developed in this study using three machine learning models that use random forest, linear regression, and Bayesian regression. As features, tiles\u27 frequency, user\u27s view prediction probability, and resolution were used. The created machine learning models are designed to decide the caching method for 360-degree video tiles. The models can forecast the frequency of viewing for 3600 video tiles (subsets of a full video). With a predictive R2 value of 0.79, the random forest regression model performs better than the other suggested models when the outcomes of the three developed models are compared. In the third part of the research, to compare our machine learning algorithm with LRU algorithm, a python test bench program was written to evaluate both algorithms on the test set by varying the cache size. The results demonstrate that our machine learning approach, which was created for 360-degree video caching, outperforms the LRU algorithm

Uncovering the depths of trade-based money laundering: evidence from a seaport in Bangladesh

Purpose - Money laundering (ML) is a major criminal offence stemming from unethical practices by personnel on the ground at Chattogram Port, an important import and export facility in Bangladesh. Because money can be more easily laundered through imports, it is necessary to investigate the dubious process in this sector. This study aims to identify the items most regularly used for easy ML and the factors contributing to their vulnerability.
 Design/methodology/approach - This research uses a qualitative approach and analyses information from primary sources. Data is obtained from customs officials, port authority personnel, importers and customs brokers through semi-structured questionnaires. Although there are many techniques for ML, this study only found three most overwhelming: under-invoicing, over-invoicing and misdeclaration. A few case studies have been used based on newspaper reports and the internet to triangulate the qualitative data.
 Findings - Four import items - food products, garments, capital machinery and chemicals - have a higher risk of ML. This study also revealed that money launderers prefer under-invoicing food and garment items. Misdeclaration is more commonly associated with capital machinery and chemical items. Over-invoicing, on the other hand, is only prevalent in government purchases. The port authorities need to pay particular attention to these issues.
 Research limitations/implications - As ML is an ongoing activity that changes over time, the findings of this research are circumscribed by the data collected at a single point in time. Additionally, this research did not consider alternative laundering methods.
 Practical implications - The research results can provide a basis for creating effective anti-money laundering (AML) strategies to assist with sustainable economic growth.
 Social implications - Developing effective AML measures can help combat corruption and establish good governance in the country and support human well-being.
 Originality/value - This paper presents original research findings based on technical analysis. The Chattogram Port Authority and the National Board of Revenue have accepted and used the main findings in a collaborative action plan to tackle ML. The Bangladesh Bank, the country’s central bank, has also incorporated the necessary guidelines and regulations into the Money Laundering Prevention Act, 2012

Supremacy of Value-Added Tax: A Perspective from South Asian Nations

The study attempts to examine the relationship among revenue growth factors from different angles and provides a comprehensive overview of tax revenue collection for developing countries. The impact of income tax, customs duty, and value-added tax on the gross domestic product is examined using the ordinary least-square (OLS) multiple regression approach. To confirm the association, a multiple regression model is applied to time-series data. SPSS software, MS Excel, is used to draw the empirical results, trend analysis, and some graphical presentation to reach the study's objective. The findings show that while the value-added tax has a significant impact and the highest coefficient, regardless of country, income tax and customs duty may or may not be significant depending on the circumstances. It triggers effectual and efficacious economic growth. The paper has implications in policy-making areas where governments are seeking how to stimulate revenue growth effectively and efficiently. To promote economic growth, the tax net and tax rate on luxury goods should be increased along with human resources in the tax administration for the short term. But in the long term, decentralization & digitization of tax administration, dismantling the existing tax barriers and good governance are necessary

Evaluation of bioactivities of methanol and petroleum ether extracts of Cassia renigera seed

Abstract Background To investigate in vitro antioxidant, brine shrimp lethality bioassay, antimicrobial, anthelmintic activities and in vivo peripheral analgesic activity of methanol and petroleum ether extracts of Cassia renigera seed. Methods Phytochemical screening of the crude extracts was carried out. Antioxidant activity was determined using seven different methods. Brine shrimp lethality bioassay and anthelmintic activities were done using nauplii of Artemia salina and adult earthworm (Pheretima posthuma), respectively. The antimicrobial potential was investigated against three Gram-positive and three Gram-negative bacteria. Acetic acid induced writhing test was performed to evaluate peripheral analgesic activity. Results Both methanol and petroleum ether extracts showed the presence of flavonoids, saponins, and tannins. While alkaloids, glycosides, and steroids were only found in the methanolic extract. Methanolic extract showed more potent 1,1- diphenyl-2-picrylhydrazyl (DPPH), nitric oxide scavenging capacity, cupric reducing and reducing power capacity than petroleum ether extract. While petroleum ether extract showed better results in total phenol and total antioxidant activities. In brine shrimp lethality bioassay methanolic and petroleum ether extracts showed the LC50 value of 74.44 and 121.49 μg/mL, respectively. In overall antimicrobial study methanolic extract showed better activity than petroleum ether extract. Methanolic extract of 50 mg/mL showed maximum anthelmintic activity comparable to the standard (Piperazine Citrate, 10 mg/mL). Both 500 mg/kg and 1000 mg/kg body weight dose of the methanolic extract exhibited significant 39.64% and 58.73% writhing inhibition (푃< 0.05) in test animals, consecutively. Conclusions In a nutshell, the results suggested that the seed can be used as a potential source for the aforesaid bioactivities

Pharmacoinformatics and UPLC-QTOF/ESI-MS-based phytochemical screening of combretum indicum against oxidative stress and alloxan-induced diabetes in Long-Evans Rats

This research investigated a UPLC-QTOF/ESI-MS-based phytochemical profiling of Combretum indicum leaf extract (CILEx), and explored its in vitro antioxidant and in vivo antidiabetic effects in a Long-Evans rat model. After a one-week intervention, the animals' blood glucose, lipid profile, and pancreatic architectures were evaluated. UPLC-QTOF/ESI-MS fragmentation of CILEx and its eight docking-guided compounds were further dissected to evaluate their roles using bioinformatics-based network pharmacological tools. Results showed a very promising antioxidative effect of CILEx. Both doses of CILEx were found to significantly (p < 0.05) reduce blood glucose, low-density lipoprotein (LDL), and total cholesterol (TC), and increase high-density lipoprotein (HDL). Pancreatic tissue architectures were much improved compared to the diabetic control group. A computational approach revealed that schizonepetoside E, melianol, leucodelphinidin, and arbutin were highly suitable for further therapeutic assessment. Arbutin, in a Gene Ontology and PPI network study, evolved as the most prospective constituent for 203 target proteins of 48 KEGG pathways regulating immune modulation and insulin secretion to control diabetes. The fragmentation mechanisms of the compounds are consistent with the obtained effects for CILEx. Results show that the natural compounds from CILEx could exert potential antidiabetic effects through in vivo and computational study

Guide on Diabetes and COVID-19 for Healthcare Professionals in Bangladesh

The world is suffering from a pandemic of coronavirus disease-2019 (COVID-19), and people with diabetes mellitus (DM) are more vulnerable to the serious effects of the COVID-19. This interaction is alarming, considering the high transmission rate of COVID-19 and the global prevalence of DM. Considering the importance of the link between COVID-19 and DM, Bangladesh Diabetic Association has formed a panel of national and international experts in the field of public health, diabetes, and endocrinology to provide some evidence-based guidance for the prevention and care of people with DM during the COVID-19 pandemic

Guide on Diabetes and COVID-19 for Healthcare Professionals in Bangladesh

The world is suffering from a pandemic of coronavirus disease-2019 (COVID-19), and people with diabetes mellitus (DM) are more vulnerable to the serious effects of the COVID-19. This interaction is alarming, considering the high transmission rate of COVID-19 and the global prevalence of DM. Considering the importance of the link between COVID-19 and DM, Bangladesh Diabetic Association has formed a panel of national and international experts in the field of public health, diabetes, and endocrinology to provide some evidence-based guidance for the prevention and care of people with DM during the COVID-19 pandemic