Volume 11 | Issue 5 |

 Abstract

Chronic renal failure (CRF) is a growing problem worldwide leading to increasing incidence of life threatening complications or death. Over 1.1 million patients are to have renal failure worldwide with and annual increase at a rate of 70%. CKD in India is an important public health problem. The main contributing factors for high prevalence of CKD in India are hypertension and diabetes mellitus. Kidneys are those vital organs of the body responsible for diverse body function. Chronic Kidney Disease (CKD) is a condition characterized by permanent and significant loss of the glomerular filtration rate (GFR). The main stay of treatment in this condition is renal replacement therapy which includes both kidney transplantation and dialysis (Hemodialysis and peritoneal dialysis). In hemodialysis, anticoagulant is necessary to prevent blood clots within the extracorporeal circuit. Prothrombin time (PT) and activated partial thromboplastin time (APTT) are screening tests for extrinsic, intrinsic and common pathway clotting factors. The aim of the study was investigating the coagulation profile pre and post hemodialysis in CKD patients compared to normal control.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chronic Kidney Disease, Hemodialysis, Coagulation profile (PT, PT-INR, aPTT)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Supply chain performance plays a critical role in the success of businesses across industries. In recent years, the rise of cloud-based data warehousing platforms has introduced new opportunities for organizations to improve supply chain operations through better data management and analysis. This current dissertation work examines the use of Snowflake Data Warehouse for optimizing supply chain performance. Through a review of literature and analysis of case studies, the paper presents the key features and benefits of Snowflake including cloud technologies, and discusses how it can be integrated with other systems and technologies to support supply chain decision-making and drive performance improvements. The results of the study suggest that Snowflake can be a valuable tool for improving supply chain performance, and offer insights, recommendations and prediction for organizations/business looking to implement and can be visualize in the form of graphs and charts to support quick decision making to the business users.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning techniques, Cloud storage, Snowflake data warehouse, Visualizations, Data Analysis.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The availability of clean, drinkable water is currently under a growing amount of pressure. Due to government inefficiency and the nation's growing population, this issue is particularly prevalent in rural areas. As a result, this particular project's wireless, multi-sensor network seeks to detect and show the water's physicochemical quality in real-time in a way that is far more affordable than the present methods, which include sampling and laboratory tests. It considers a number of variables and displays this real-time quality by showing the electrical conductivity, pH, total dissolved solids (TDS), turbidity, and temperature of the water that is being evaluated. Additionally, this remote-control system was created especially for bodies of water like lakes, reservoirs, rivers, etc. where it is impossible to check the water quality Because water properties vary at every place, it is impossible to operate a fixed system in such complex scale water settings. To prevent this, we created a boat that can float and be controlled by the user to go on the water. This building is shaped like a hull, which reduces the resistance to water flow while maintaining the water's stability. The graphical user interface GUI approach is used to generate and display all of the results, including their readings and graphical analogue meters, as well as the water's impurity limitation points and hazardous level notification. This water quality monitoring boat has a built-in GPS positioning system that indicates the location whenever the water quality changes.. It is shown. These physicochemical properties can be successfully demonstrated by this project, and it is also capable of efficiently showing these readings, according to numerous tests carried out in reservoirs, lakes, and personal water storage tanks.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Remote Control.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Knowledge, Virtual autism and its impact on child's brain development

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper provides an overview of how the Indian stock market was severely impacted by the COVID-19 pandemic. The nationwide lockdown in March 2020 led to a sharp decline in economic activity, causing a sell-off in the stock market. The BSE Sensex and NSE Nifty50, India's two main stock market indices, experienced steep drops of around 40% in just a few weeks. As the pandemic continued to spread and uncertainty persisted, investor confidence remained low, leading to continued volatility in the market. The Indian government responded with measures such as monetary stimulus and relief packages, but the market has yet to fully recover from the impact of the pandemic.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stock market , Covid 19 , Volatility , Capital Market , Economy

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The algorithm for the function minimization of a multivalued, or radix >2, digital system is presented in this study. The suggested algorithm is illustrated here using a ternary digital system with radix=3, and a computer programme based on the algorithm is created in the form of a ternary map. The difficulty of minimising or reduction of the logic function grows as the system radix does. Higher radix make it harder to minimise the function design equation. The suggested programme was created to minimise the functions of ternary systems. The result is presented as Sum-of-Product (SOP) terms and includes all designed rules for ternary logic system architecture.. In contrast to the traditional binary digital system, ternary logic-based systems have alternative principles for minimization. The ternary digital system's output equation takes the form F = F2 + 1. Where F1 = 1's minterms and F2 = 2's minterms, respectively. The findings are evaluated on a programme and compared with a truth table for ternary half adders and full adders, and it is determined that the results are accurate.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Logic Gates, Ternary Logic, Ternary K-MAP , Reduced gate .

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Budh dharm me kushinagar ka mahatva : ek samiksha

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Budh dharm me kushinagar ka mahatva : ek samiksha

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The COVID-19 pandemic has had a significant impact on global health, with millions of people infected & numerous deaths. The rapid identification of infected individuals and accurate diagnosis are critical to prevent the spread of the virus and provide appropriate treatment. The use of neural networks to identify disease tissues in people infected with COVID-19 has emerged as a promising approach. Neural networks can be trained to detect patterns in medical images, including those from computed tomography (CT) scans, X ray of COVID-19 patients. However, utilizing neural networks for COVID-19 diagnosis poses some significant challenges. Firstly, training data availability is limited, and acquiring labelled data requires expertise and time. Secondly, the high level of variability in COVID-19 imaging and clinical presentations can affect the neural network's accuracy. Thirdly, the neural network's interpretability and explain ability can be a challenge, making it difficult to understand how the algorithm reaches its decisions. Despite these challenges, neural networks have shown promise in identifying disease tissues in people infected with COVID-19. Neural networks have achieved high levels of accuracy in COVID-19 diagnosis, potentially reducing the need for radiologists and allowing for faster and more accurate diagnoses. As more data becomes available and neural network algorithms improve, they could play a significant role in improving COVID-19 diagnosis and treatment.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Neural Networks, Disease tissue, Covid19

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper discusses the use of Microsoft Project software and construction management techniques for planning, scheduling, and tracking a residential bungalow project. The project involves building a custom bungalow from scratch, which requires careful planning and scheduling to ensure timely completion within the allocated budget. This study aims to demonstrate the benefits of using project management software for residential construction project.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Microsoft Project software, planning, scheduling, tracking

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Being already integrated into most smartphone users` daily routines, providing easy-to-use solutions for the sharing of rich and context-sensitive data as well as an instant feedback channel, messaging apps make the documentation of one`s information/news use a familiar and convenient experience for participants that can easily be incorporated into their day-to-day life. An online communication allows the users to communicate with other people in platforms such as iOS. The system developed on android will enable the users to communicate with another users through text messages with the help of internet a fast and convenient way. Considering this, the online communication application must be able share the texts or images or any other files in a faster way with minimum delay or with no delay. Firebase is one of the platforms which provides a real-time database and cloud services which allows the developer to make these applications with ease. Android provides better platform to develop various applications for instant messaging compared to other

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social media platform, messenger, cloud messaging, video communication

  License

Creative Commons Attribution 4.0 and The Open Definition