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This case is designed to be used in business analytics courses; particularly those that emphasize predictive analytics. Students are given background information on money laundering and data from People's United Bank, a regional bank in the northeast United States. The students must develop their hypothesis, analyze the data, develop and optimize predictive models, and then score the models. Students are challenged to develop a better baseline model than what is currently being used by People's United Bank.

Background: Seroprevalence of COVID-19 antibody production in a person can be dependent on many physiological and demographic aspects such as previous infection, age, sex, body mass index, and also status of vaccination. It is of immense value to know about demographic aspect of COVID-19 antibody production so as to know about vulnerable population and suggest preventive measures. Aims and Objectives: The present study was aimed to determine effect of demographic variables COVID-19 antibody production in population of urban area. Materials and Methods: In this study, a total of 2454 subjects were screened for COVID-19 neutralizing antibody by ELISA technique. Subjects more than 18-year-old were selected for the study. We used cluster sampling method for data collection. A pre-structured questionnaire was administered after informed consent and 5 mL venous blood was collected in plain bulb for testing. Results: The prevalence of neutralizing antibody was found to be 93.9%. Female had 95% positive antibodies against males (92.34%). Maximum positive antibody status was seen in age group of 20–40 (55.6%). About 77.9% subjects following mixed diet were having positive COVID-19 antibody test as compared to subjects following pure vegetarian (10.2%). About 83.2% subjects who received vaccine showed positive antibody test. The lowest positivity is seen in underweight subjects (8%) followed by obese subjects (12.7%). Maximum inhibition % was seen in subjects using Vitamin C Zinc tablets (92.1%). The lowest inhibition was seen in subjects using Unani Kadha. A one-way ANOVA revealed that there was not a statistically significant difference in prophylactic measures for prevention of COVID-19 infection other than vaccination and COVID-19 neutralizing antibody inhibition %. ([F-1.363], P=0.244). Conclusion: COVID-19 neutralizing antibody prevalence was found to be much higher in the population (96%), which was mostly associated with younger age, gender, diet, and vaccination status of the population. Extensive studies are required to establish any association between prophylactic methods other than vaccination and COVID-19 antibody response.

Objectives: This study examines the sanitation and hand-washing behavior of slum dwellers before coronavirus disease 2019 (pre-COVID-19) and during the COVID-19 period. The study also examines health-seeking behavior. Materials and Methods: Purposive sampling method was used to select the study area and household. Out of 49 registered slums in the Vellore municipality corporation, three slums were selected, which represent the highest number of slum households. The names of the urban slum settlement were Salavanpet, Old Town, and Makkan. After selecting the study areas, households were selected on snowball techniques through telephonic conversation with a structured interview schedule. The total samples were 75 households. The study period was from June 2021 to August 2021. Results: The study shows that Vellore has the 18th highest number of positive COVID-19 cases in Tamil Nadu. This study found that regular wage incomes in urban slum dwellers have been severely affected by COVID-19 lockdowns. The majority of households without a toilet in slums have used open defecation during COVID-19. Hand washing behaviors for people living in the urban slums have increased during the COVID-19 than the pre-COVID-19 pandemic. This study found that middle-aged (age 31–40 years) people’s habit of hand washing as a precautionary measure against coronavirus disease increased during COVID-19 compared with pre-COVID-19. Suggestion and Conclusion: The study suggests that improving hand-washing habits could aid in the prevention of the COVID-19 virus and other illnesses and suggests advancing hand washing habits after the pandemic as basic protective measures, which continues to remain essential in urban areas.

Efficient channel management is a challenge that next-generation wireless networks need to meet in order to satisfy increasing bandwidth demand and transmission rate requirements. Non-orthogonal multiple access (NOMA) is one of such efficient channel allocation methods used in 5G backhaul wireless mesh networks. In this paper, we propose a power demand-based channel allocation method for 5G backhaul wireless mesh networks by employing NOMA and considering traffic demands in small cells, thereby improving channel utility. In this scheme, we work with physical layer transmission. The foremost aim is to mutually optimize the uplink/downlink NOMA channel assignment in order to increase user fairness. The approach concerned may be divided into two steps. First, initial channel allocation is performed by employing the traveling salesman problem (TSP), due to its similarity to many-to-many double-side user-channel allocation. Second, the modified particle swarm optimization (PSO) method is applied for allocation updates, by introducing a decreasing coefficient which may have the form of a standard stochastic estimate algorithm. To enhance exploration capacity of modified the PSO, a random velocity is included to optimize the convergence rate and exploration behavior. The performance of the designed scheme is estimated through simulation, taking into account such parameters as throughput, spectral efficiency, sum-rate, outage probability, signalto-interference plus noise ratio (SINR), and fairness. The proposed scheme maximizes network capacity and improves fairness between the individual stations. Experimental results show that the proposed technique performs better than existing solutions.

You Many of the construction industries have accepted increasing importance of economic crisis management to control risks. Economic crisis and their management have been critical issues which are related with projects, the construction company and their customers are related with higher chances of risk. The reason for their higher risk is their construction process and activities, their background and their organization. This study is related to economic crisis which immediately taken part in the construction project. The risk in the construction projects is usually identified as an event that highlights objectives of manpower, material and money. The ideas at various levels of construction industries have been collected through literature survey and their results have been analyzed in this paper. From this literature study, the situations influencing economic crisis were studied and recommendation has been expressed to devastate those economic crisis situations.

Numerous soft faults in SRAM memory emerge as technological innovations scales down, resulting in single and several cell upsets. The increased use of transistors in space applications has rendered semiconductor devices more vulnerable to soft errors caused by harm from radiation. A single event upset (SEU) is occurring whenever a soft error produces a tiny bit flipped in a storage device. Because SEU faults affect system performance, they must be addressed as soon as possible. Error-correcting codes, like the method known as (7,4) hamming codes, were devised and their decoding and encoding procedures were verified. It also used to detect single errors that can be fixed. It also helps detect double errors, SECDED however repair of double errors is tough. The decoding and encoding techniques of these approaches were investigated, and all computational findings had been verified and executed in a Xilinx NEXYS 4 DDR FPGA board. [ABSTRACT FROM AUTHOR]

Recently, Financial Inclusion has received greater attention, as it is a key to economic growth and equality, growth of the business, and stability of financial and banking systems. In the process of understanding how technology is useful for financial inclusion, the study tries to understand the elements that prompt the perceived acceptability of mobile banking among the low income and low literate stratum. To explore these elements, the current piece of work utilized the Unified theory of acceptance and use of technology and with the addition of component of perceived risk. The research utilized convenience sampling to collect data from the respondents having Jan Dhan account. The results show that performance expectancy, effort expectancy, social influence, and perceived risk have a significant influence on intention to use mobile banking among financial inclusion stratum. Surprisingly, the facilitating conditions were found insignificant. The outcomes of the research can guide banks and technology houses to develop a more user-acceptable mobile banking system. Also, the outcome will help policymakers to enhance mobile banking system adoption for financial inclusion by considering influencing elements.

Background: Cardiac lesions are responsible for approximately 60-70% of sudden deaths. Histopathological examination of heart on autopsy plays an essential role in determining the cause of death. Hence, the present study was undertaken to study the histopathological spectrum of uncommon lesions in the heart and blood vessels that arise from heart, which either proved to be a primary or contributory to the cause of deaths in clinical autopsies. Method: This prospective study was conducted in the Department of Pathology of a Tertiary care hospital over a period of one year from Jan 2020 to Dec 2020. During the study period, a total of 19 cases with uncommon lesions in heart and aorta were studied. The available clinical data had been collected from hospital records in these clinical autopsy cases. Cases of myocardial infarction were excluded. Results: Out of 19 cases, 11 cases were found in the age group of 15-40 years and 8 cases were of 40-50 years. Among 19 cases, 9 (47.4%) were inflammatory lesions, 4 (21.1%) cases of degenerative changes like fatty infiltration of heart, 2 cases of neoplastic etiology and one case each of aneurysm of sinus of Valsalva, mural thrombi in heart, myocardial hypertrophy and one case of aortic dissection. Conclusion: In the present study, inflammatory lesions (myocarditis and tuberculous myocarditis) was the commonest histopathologic finding followed by fatty infiltration of the heart. Other lesions like aortic dissection and aneurysm of sinus of Valsalva were the uncommon lesions seen in our study. Thus, histopathology in autopsy plays a vital role in the study of some of the rare cardiac lesions contributing to the knowledge of pathology. [ABSTRACT FROM AUTHOR]