International Journal of Communication Networks and Information Security (IJCNIS)
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Explainable AI (XAI) for Health Insurance Underwriting
No full textThis research paper focuses on offering an understanding of the role of Explainable Artificial Intelligence (XAI) when underwriting a health insurance policy. The latter is due to AI systems being applied in risk management and policy-making across the insurance industry, and hence, there is a rising need for explicability of such systems. This work provides a detailed exploration of several XAI methods, the application of the selected approaches within the case of health insurance, and the barriers to achieving a proper level of model interpretability and reliability. We focus on the national and international methods for interpretation, the locally interpretable deep learning models, the metrics for XAI in underwriting context. Furthermore, we present a brief of important regulatory concerns, ethical issues, and recommendations for further research wherein the field is experiencing rapid expansion. Based on our findings, we conclude that XAI provides viable solutions for building trustworthiness in health insurance underwriting AI systems but state limitations with relation to scalability for handling complex health data and to meet strict regulatory concerns. The study therefore presents XAI as a tool that has the potential of transforming underwriting process especially by improving the amount of trust that health insurance markets and consumers place in the AI models used in underwriting
ROLE OF DOMESTIC AMINO ACID BLOOD SUBSTITUTE ON METABOLIC DISORDERS AND ENDOGENOUS INTOXICATION IN EXPERIMENTAL TOXIC HEPATITIS
No full textThe development of effective agents to correct metabolic balance in critical illness is critical for the successful treatment of serious diseases. Critical conditions such as trauma, poisoning, burns, sepsis and surgery, as well as diseases such as acute infections and cancer, can lead to increased breakdown of substances and increased catabolism. Poor nutrition can lead to weight loss, poor physical performance, and metabolic disorders. Amino acid mixtures are the best way to influence metabolic homeostasis, since protein synthesis occurs only from free amino acids. They are widely used in medical practice, including for parenteral nutrition. The RGNPMCG of the Ministry of Health of the Republic of Uzbekistan has developed a new blood substitute containing amino acids and an antioxidant complex, which has a wide spectrum of action and is able to influence protein synthesis by body cells, optimize the functioning of physiological systems, and accelerate recovery processes in severe diseases associated with impaired protein -energy metabolism. The purpose of this study is to study the impact and evaluate the effectiveness of a new domestic amino acid blood substitute on metabolic disorders and endogenous intoxication in toxic hepatitis
SHIFTING LANDSCAPES: UNRAVELING TIRUPATI'S TRANSFORMATION THROUGH SATELLITE INSIGHTS
No full textThe transformation of Tirupati's landscape over the past two decades reflects the dynamic interplay between urbanization, agricultural expansion, and environmental degradation. Through a comprehensive analysis of land use and land cover (LULC) changes using satellite imagery and spatial analysis techniques, this study offers insights into the evolving socio-environmental dynamics of the region. The findings reveal significant increases in built-up areas and corresponding declines in agricultural lands and natural ecosystems, driven by population growth and economic development. Despite efforts to mitigate environmental degradation, challenges such as soil erosion, deforestation, and water scarcity persist. However, there are promising initiatives aimed at enhancing water security and ecosystem resilience. In statistical terms, the analysis of land use and land cover changes in Tirupati reveals compelling trends over the study period. Utilizing Landsat satellite data and Maximum Likelihood Estimation (MLE) techniques, significant shifts in urbanization, agricultural activity, and environmental degradation were quantitatively assessed. The results demonstrate a remarkable expansion of built-up areas, accompanied by a concerning decline in agricultural lands and natural vegetation cover. Moreover, buffer ring and directionality analyses elucidate spatial patterns of change, highlighting the concentrated urban growth in specific directions and the widespread degradation of natural habitats. These statistical insights underscore the urgency of implementing sustainable development strategies and conservation measures to address the socio-environmental challenges facing Tirupati and foster long-term resilience. The study underscores the importance of sustainable development strategies and conservation efforts to address these challenges and ensure the long-term sustainability of Tirupati and its surrounding areas
Designing, Implementation and Evaluation of DBL-Based Learning for Undergraduate Students of Dental Faculty: An Experience from Low and Middle-Income Country
No full textStatement of the Problem: Traditional lecture-based teaching may not adequately prepare dental students for future challenges. Implementing a Discussion-Based Learning (DBL) approach, where students engage in problem-solving to create solutions, can improve learning and readiness for their careers.
Purpose: This study aims to explore the potential benefits of the DBL approach in dental education. The research involves the design, implementation, and evaluation of DBL sessions for undergraduate students in the theoretical course of Restorative Dentistry 1 during the academic year 2020-2021.
Material and Methods: A semi-experimental design with a literature review and expert panel input was used for tailored DBL sessions via Adobe Connect for 29 fourth-year dental students. Evaluation methods included a questionnaire and interviews. Mid-term scores of DBL participants (n=17) were compared to those using conventional methods (n=17). Qualitative data underwent content analysis, and quantitative data were analyzed with SPSS software 16.
Results: The DBL group of 17 students showed higher engagement levels than the routine teaching group of 56 students. DBL participants rated their engagement as "highly," "very much," or "somewhat." Mean total scores were 45.82±5.29, and average scores were 3.81±0.44. Students' perspectives on the advantages and disadvantages of the DBL method were extracted. The DBL group had a significantly higher mean grade point average (17.56±1.33) than the routine teaching group (15.34±1.56) with a P-value<0.05.
Conclusion: The study underscores the effectiveness of the DBL method as a valuable teaching approach in dental education, as evidenced by improved academic performance and positive student feedback. 
"A study on the impact of Information and Experience on Financial Investments: A Case Study of Bikaner."
No full textThe following is a breakdown of various factors that infiltrate individual investors' investments depending on their cumulative background and knowledge about the financial systems and markets. The purpose of this study is to enhance the appreciation of the factors that shape the investors' decisions, the consequences of "investor awareness and education programs," and the mentalities of the investors regarding their stock market investments. Based on this rationale, a conceptually grounded survey questionnaire will be developed that quantitatively analyses the replies of the investors and measures the relevance of the investors' experience span. Concerning relationships, it was evident that instead of performing their analysis based on the companies' annual reports, the investors relied on shortcuts, including asking friends and family. The firm history and products are among the most explored factors in trading and investing inventory for initial public offers (IPO)
Efficient Routing Techniques for Congestion Mitigation in Wireless Sensor Networks
No full textThe previous routing approaches like Purely random propagation(PRP),Non-repetitive purely random propagation (NRRP),Directed random propagation (DRP)perform the routing of packets without considering congestion might occur. When the intermediate nodes receive a substantial quantity of packets they directly drop the packets. The second problem is that will occur back and forth propagation which decreases the effectiveness of the net-work and increases route discovery time. The intention is to find out the routes in the net-work without any back and forth propagation on order for the packetwilln’t be send back and forth between nodes (optimized routing algorithm).The second aim in algorithm will find out the motive of congestion and the packets will be send through alternate paths by considering buffer occupancy factor and power level of nodes the network. The paths will be sent through dispersive routesin order for theadversarydoesnottake thepackets. Thepacketswillbesendthroughthepathwho’sround trip moment will be minimum
A Communication Application Design Framework Based on Mesh Network Architecture for Folk Song Dissemination
Get PDFThis document suggests a pair of optimization and enhancement algorithms for Mesh network architecture to foster the spread of folk songs and evaluates these algorithms within a communication design framework. Proposed are communication applications utilizing Mesh network architecture. The average end-to-end delay of the improved expected transmission time metric algorithm is is lower than that of other algorithms; The channel allocation algorithm of wireless mesh network structure improves the throughput by about 16% with the same number of data streams; The real-time reliable data transmission delay of the folk music dissemination framework is significantly lower than that of the non-realtime reliable data network; The mean delay from start to finish in the real-time dependable data transfer within the folk music distribution system is markedly less compared to that in a non-realtime dependable data network.; The folk music communication framework's real-time reliable data transmission experiences an average end-to-end delay, with an average data reception rate surpassing that of non-real-time reliable data, and the real-time reliable data. The rate of receiving usable data from start to finish remains largely unaltered regardless of the amount of communication data; Upon functional testing of the Application (APP), the Central Processing Unit (CPU) usage rate in most tasks remains under 10%; however, during the system's operation, both the occupied memory and CPU usage on the Personal Computer (PC) side is significantly lower. During the operation of the framework, the PC side's occupied memory and CPU usage rate maintain a comparatively steady state
Exploration of the Application of Wireless Communication Internet in the Child-Friendly Public Space
Get PDFIn the design and establishment of child-oriented public spaces, the pervasive use of wireless communication technologies via the Internet is a cornerstone in fostering a safe and educational milieu. The convergence of high-speed Wi-Fi, mobile apps, Internet of Things (IoT) devices, and precise location tracking builds a holistic platform for children's enjoyment and development. Realtime wireless monitoring gives parents unparalleled assurance of their children's safety. Mobile apps integrated with public amenities offer interactive games and educational content, fostering an enriching learning environment. IoT devices, such as intelligent cameras and emergency response buttons, further bolster security measures, providing additional protection for children. Wireless tech in public spaces gathers behavioral data, deepening understanding of kids' needs. This data optimizes spaces, enhancing their experience. Wireless tech in child-friendly spaces boosts security, engagement, and blends education with entertainment. As tech evolves, future spaces will prioritize kids' growth, transforming into havens for holistic development
Optimizing Space and Connectivity in Kitchen Environments for Rental Properties Leveraging Wireless Internet Design
No full textThe design of kitchen environment space and connectivity has become a focus of attention in rental properties, and the improvement and enhancement of its environment are crucial for the user's living experience. The article analyzes the current situation and influencing factors of the kitchen environment in rental properties and summarizes the important role of wireless internet technology in optimizing kitchen environment design. It proposes design optimization measures for the space and connectivity of the kitchen environment in rental properties. Two different multi-functional integrated kitchen intelligent products are designed. By connecting the various functions of the product through the network and transmitting information remotely in a timely manner, the optimization and improvement of the kitchen environment have been further promoted, solving the problems of narrow space and insufficient connectivity faced by rental property kitchens. We conducted research and analysis based on the experience of different tenants. The results show that about 62% of kitchen layouts tend to be completely embedded; The lowest is the kitchen layout designed entirely using intelligent devices, accounting for about 32%, which not only provides support for the design of rental property kitchens, but also further provides theoretical guidance for optimizing the spatial environment and connectivity design
Deep Learning-based Joint Optimization and Application Research of Urban Network Communication System and Landscape Design
No full textWith the accelerated development of urbanization, urban neighborhood landscape design is faced with many challenges such as the shortage of urban space and the loss of living environment. Therefore, in this study, the application of artificial neural network model in architectural landscape design is carried out, which provides new ideas and methods for realizing more scientific and accurate design assistance. To explore the feasibility of an artificial neural network model in architectural landscape design, this study takes the streetscape data as the basis and extracts three kinds of visual landscape elements of urban outdoor environment, namely, green visibility, sky visibility, and building visibility, and measures six perceptual indexes of urban neighborhood residents, namely, safety, vitality, beauty, affluence, depression, and boredom. Finally, multiple linear regression analysis was used to reveal the relationship between visual landscape elements and residents' spiritual perceptions. The results show that green space, blue space, and gray space in the city shows an aggregated distribution pattern according to the functional characteristics of the city: the overall green visual elements are more scarce; there is obvious spatial differentiation between positive and negative perceptions; and the green visibility rate has a significant positive effect on the residents' comprehensive perceptions. In addition, the optimized schematic diagram shows that the contour density and coverage of communication facilities in the optimized landscape network as well as the rationality of landscape optimization have been greatly improved and enhanced