Forming a mixed Quadrature rule using an anti-Lobatto four point Quadrature rule

A mixed quadrature rule of higher precision for approximate evaluation of real definite integrals has been constructed using an anti-Lobatto rule. The analytical convergence of the rule has been studied. The relative efficiencies of the mixed quadrature rule has been shown with the help of suitable test integrals. The error bound has been determined asymptotically

Big Data and Internet of Behaviors (IoB): Its Nature and Importance in the World of KYC

With rapid digitalization, a novel concept called "Internet of Behaviors" (IoB) is emerging, where businesses can leverage large data gathered through IoT as a tool to affect people's actions. By the end of 2025, more than half of the world's population, according to Gartner, will be enrolled in the IoB program. The research below identifies how the Internet of Behaviors (IoB) can be integrated and used to change the world of KYC (Know Your Customer). The analysis identifies that KYC is a critical process, especially in finance. Financial organizations can use KYC to effectively manage the funds they receive by protecting the market from money obtained through fraud. The theoretical foundation shows that the research follows the TAM model. IoT, People, and IoE are identified as critical external factors that influence the way IoB can change the world of KYC. The study comes to the conclusion that KYC is directly impacted by IoB through the massive big data it gathers, which has a substantial impact on success in many modern firms

Importance of Hypothesis Testing, Type I, and Type II Errors – A Study of Statistical Power

The statistical interpretation of data is crucial to research techniques and scientific studies. To infer something statistically, one must estimate and test a hypothesis. This is known as statistical inference and the 'Testing of Hypothesis' discussion is crucial when doing a statistical observation. The null and alternative hypotheses used in hypothesis testing result in Type I and Type II errors depending on whether they are accepted or rejected. We focus more on Type II mistakes when discussing statistical power since they are less likely to occur as statistical power increases. This study offers fresh perspectives and a thorough examination of each of these statistical variables, as well as how statistical power affects daily statistical inference and decision-making

Importance of Hypothesis Testing, Type I, and Type II Errors – A Study of Statistical Power

The statistical interpretation of data is crucial to research techniques and scientific studies. To infer something statistically, one must estimate and test a hypothesis. This is known as statistical inference and the 'Testing of Hypothesis' discussion is crucial when doing a statistical observation. The null and alternative hypotheses used in hypothesis testing result in Type I and Type II errors depending on whether they are accepted or rejected. We focus more on Type II mistakes when discussing statistical power since they are less likely to occur as statistical power increases. This study offers fresh perspectives and a thorough examination of each of these statistical variables, as well as how statistical power affects daily statistical inference and decision-making

Prevention of Phishing Attacks Using AI-Based Cybersecurity Awareness Training

Machine learning has been described as an effective measure in avoiding most cyberattacks. The development of AI has therefore promoted increased security for most computer attacks. Phishing attacks are risky and can be prevented through AI-based solutions. This factor suggests the need for increased awareness of cybersecurity through AI. Developing awareness for most people will prevent these types of attacks. The research paper describes how the awareness of AI-based cybersecurity could ensure a reduction of phishing attacks. The paper, therefore, showcases the effectiveness of AI-based cybersecurity awareness training and how it may influence cyber-attacks

ANTI TUBERCULAR DRUGS INDUCED HEPATOTOXICITY IN A NEW TERTIARY CARE HOSPITAL OF A TRIBAL DISTRICT OF ODISHA

Objective: India accounts for about one-fourth of the global TB burden. WHO TB statistics for India for 2018 gives an estimated incidence fig. of 2.69 million cases (199 per one lakh population). Drug-induced Hepatotoxicity is responsible for significant morbidity and mortality of the TB patient if these drugs continued after symptoms of hepatotoxicity develop. Whether the hepatotoxicity is due to individual drugs or due to additive effects is still unclear. The management therapy for TB patients with anti-TB DIH is imperative to ensure successful TB treatment and not recurrence DIH. Aim of the current study is to find out the pattern of Liver enzyme raised after antitubercular therapy in the tribal population of Koraput district where different phylogenetic populations reside where clinically it was observed by the physician little early onset of hepatotoxicity than national and international data. Methods: A prospective study was done after clearance from the Institutional Ethical Committee, Saheed Laxman Nayak Medical College, Koraput, from January 2019 to December 2019. Patients with>15 y of age with pulmonary and extrapulmonary tuberculosis with normal liver enzymes were included. Patients having abnormal liver enzymes before treatment, seropositive TB patients with human immunodeficiency virus infection, pregnant ladies and children<15 y of age were excluded. Results: Out of 922 patients in total; 4.78% (44) tuberculosis patients developed anti TB DIH. 68.18% (30) patients are below 50 y of age and 31.82% (14) are above 50 y of age group among TB patients with DIH. Age has no statistically significant influence on the occurrence of anti-TB DIH, but there is a statistically significant influence of sex on the occurrence of anti TB DIH. The mean occurrence of anti TB DIH is 18±18.16 d. One case of anti TB DIH patients shows signs and symptoms as early as on day 6th. The commonest symptoms are nausea and vomiting in 64% of patients who developed DIH. Interruption of ATT after DIH occurred in 79.54% of patients with recurrence in only 9.9% of patients after the reintroduction of ATT. Conclusion: Anti TB DIH mostly occurred between 7-28 d of starting the ATT in this geographical region. The duration of the anti TB ATT regimen is prolonged due to DIH. We recommend that all patients should have LTs 2 w after starting ATT, even if asymptomatic

A Data-Driven AI Framework to Improve Urban Mobility and Traffic Congestion in Smart Cities

One of the most talked-about problems at the start of the twenty-first century is effective transportation, which is one of the numerous challenges the globe is experiencing. Technology is playing a critical role in helping to tackle the current transportation problems as smart cities evolve. Smart cities feature the modernized form of civilization worldwide as they leverage increasing technological advancement, including Artificial Intelligence, in running city initiatives alongside addressing urban challenges. Traffic forms a major challenge in urban development due to various factors, such as poor planning. The innovative approaches, exemplified by integrating shop and delivery options in smart cities, will alleviate traffic congestion challenges. This research study pinpoints the Actor-Network Theory (ANT) principles and pragmatism as the guiding approaches in the research and enhancing the integration. The data collection methods included in the research included interviews, reports, and media content essential for understanding the complex interrelations of smart city initiatives. As depicted in the data analysis, the ANT and pragmatic framework form the foundation of shaping the future urban landscapes

Effect of plasma treatment on crease recovery finish of linen with carboxylic acid

470-474The effect of helium plasma treatment has been investigated on crease recovery finish of linen fabric using carboxylic acid as crosslinker. After the plasma treatment, 5% increase in wet pickup is observed compared to the control fabric. This plasma treated sample is crosslinked with butyl tetracarboxylic acid (BTCA). The significant increase in crease recovery angle is found as compared to the untreated crosslinked fabric. However, significant reduction in tearing is also observed in both the cases. Tearing strength could be improved to acceptable range by adding silicone softener during cross-linking process. The untreated and plasma-treated fabrics are analyzed by scanning electron microscope and ATR-FTIR spectroscopy to investigate the changes in surface morphology and surface functional groups

Effect of plasma treatment on crease recovery finish of linen with carboxylic acid

The effect of helium plasma treatment has been investigated on crease recovery finish of linen fabric using carboxylic acid as crosslinker. After the plasma treatment, 5% increase in wet pickup is observed compared to the control fabric. This plasma treated sample is crosslinked with butyl tetracarboxylic acid (BTCA). The significant increase in crease recovery angle is found as compared to the untreated crosslinked fabric. However, significant reduction in tearing is also observed in both the cases. Tearing strength could be improved to acceptable range by adding silicone softener during cross-linking process. The untreated and plasma-treated fabrics are analyzed by scanning electron microscope and ATR-FTIR spectroscopy to investigate the changes in surface morphology and surface functional groups.

Polyacrylonitrile and polylactic acid blend nanofibre spinning using needleless electrospinning technique

In this work, polyacrylonitrile (PAN) and polylactic acid (PLA) blended polymers have been used to prepare a flexible and partially biodegradable electrospun nanofibre sheet suitable for filtration application. Also, acetone has been used as a replacement of dimethyl formamide (DMF) during spinning and a needleless (wire electrode) electrospinning machine has been used for filament preparation. Initially, PAN fibre is spun with DMF and various parameters, such as polymer concentration, voltage, distance between electrodes and RH%, are standardised. With these standard parameters, PLA is then added with PAN, and PLA concentration is optimised without affecting the desired fibre diameter. Further, the amount of acetone with DMF is also standardised without affecting the fibre diameter. Finally, polymer concentration of 2.5% PAN with 0.5% of PLA, a potential difference of 55 kV, electrode distance of 125mm at 35% RH and 10% acetone are found suitable for getting the desired nanofibre with minimum diameter.