Client Requests Research Articles

SERAV Deep-MAD: Deep Learning-Based Security–Reliability–Availability Aware Multiple D2D Environment

The tremendous growth of internet-connected devices can lead to network congestion, making it essential to incorporate new technologies to optimize performance. Thus, Device to Device(D2D) communication has been deemed as an emerging technology that can be used to communicate efficiently. However, establishing a secure and reliable mechanism for Device-to-Device (D2D) communication that ensures security, reliability, and availability poses a significant challenge. To tackle these issues a novel deep learning-based security-reliability-availability aware multiple D2D environment (SERAV Deep-MAD) has been proposed for Secure D-2-D Communication in a Fog environment. The proposed method utilizes a Fully Homomorphic Quantum Diffie Hellman Encryption (FHQDHE) to secure the data while transmitting. The proposed method utilizes the novel secure Quantum Diffie Hellman key exchange (QDHKE) technique for sharing the key to transform the plain data into cipher data, then applies FH operations on the encrypted data before transferring it to the Fog environment. Whenever a client requests data from the Fog, the Fog provider verifies the client's access rights. Moreover, the Attention-based Bi-GRU model is utilized to categorize whether the device is non-attack or attack, if the data is attacked then the proposed model classifies multiple attacks. The NS2 Simulator is used to verify and validate the proposed SERAV Deep-MAD model, and resiliency analysis is done to assess performance. The proposed techniques attain a higher accuracy of 98.18% which is 1.58%, 2.02%, and 2.41% better than MECC, MIMO, andAAKA-D2D respectively.

Insights into maternal pertussis vaccination counselling: a qualitative study on perspectives and experiences among midwives and gynaecologists in the Netherlands

BackgroundHealthcare professionals (HCPs) play a significant role in the decision-making process of pregnant women on maternal vaccinations. Whereas a high proportion of HCPs discuss maternal vaccinations with pregnant women, confidence in discussing maternal vaccinations is lacking and HCPs experience inadequate training to discuss maternal vaccinations with pregnant women. Furthermore, different practical barriers might influence the consultation process, such as lack of time. More studies on the barriers, as well as facilitators, to discussing maternal vaccinations is needed and will help us to better understand and support HCPs in discussing maternal vaccinations.MethodsThis qualitative study involved semi-structured interviews with fourteen HCPs working as midwives or gynaecologists in the Netherlands. An integrated theoretical approach was used to inform data collection and analysis. Thematic analysis was conducted using inductive and deductive approaches. This study followed the COnsolidated criteria for REporting Qualitative research (COREQ) guidelines.ResultsThe thematic analysis of the data pointed to the following five themes of HCP counselling: the consultation process, attitude, perceived norm, perceived control and improvement ideas. Most HCPs follow a similar approach in maternal pertussis vaccination consultations, beginning by assessing clients’ understanding, providing basic information, and addressing questions. However, consultation timing and prioritization vary among HCPs. Challenges in consultations include client requests for clear advice, with HCPs trained to remain neutral, emphasizing client autonomy in decision-making. Most HCPs acknowledge the importance of their consultations in informing pregnant women about maternal pertussis vaccination.ConclusionsThis study offers a confirmation of the awareness of the pivotal role of HCPs in informing pregnant women about the maternal pertussis vaccination. HCPs stress the importance of neutral counselling, enabling pregnant women to make well-informed decisions independently. Because of upcoming vaccine hesitancy nowadays, HCPs must be equipped with the knowledge and confidence to navigate difficult conversations. Continuous education and training might help to increase HCPs’ confidence in handling difficult consultations. Additionally, making the information materials for pregnant women available in multiple languages and incorporating more visuals to enhance comprehension could support HCPs in reaching a broader group of pregnant women.

Implementasi Extreme Programming untuk Sistem Jasa Pemesanan Design Website dan UI/UX

In this study, a website and UI/UX design ordering service system was developed. This system offers clients to make orders through a website that can make it easier for people to find service experts in the field of website and UI/UX design. The development of this system was carried out using the Extreme Programming (XP) method, this method is a software development that emphasizes flexibility, communication, and adaptability to changing requirements. Researchers will use short iterations to create, build, and test websites and UI/UX designs. To ensure a thorough understanding of client requests and preferences, developers and customers will communicate more frequently. The testing method on the system used in this study is User Acceptance Testing, which is a testing stage where the system or software is evaluated to ensure that the system meets user needs and requirements. Users perform this test to ensure that the system functions properly and meets their expectations. The results of this study, system development using the Extreme Programming (XP) method is very helpful for developers because the needs of each user are clearly defined, the use of the User Acceptance Testing method shows that each function of the application system operates according to user needs. Thus, the use of the Extreme Programming method can improve the system development.

Audit Tenure Sebagai Moderasi Fee Audit dan Ukuran Perusahaan Terhadap Kualitas Audit

Apart from being required to comply with the code of ethics, auditors must also understand client requests. In their involvement with the company, auditors will relate to the audit fees received, the audit period which has an impact on the quality of the resulting audit. This study aims to investigate the impact of audit fees, audit tenure, and audit rotation on audit quality in companies listed on the Indonesia Stock Exchange LQ45 Index from 2020 to 2022. The study employs quantitative data from secondary sources, utilizing documentation as the primary data collection technique. Data analysis is conducted through logistic regression test techniques, with totaling 69 samples. The results show that audit fees have a negative effect on audit quality, while company size has no effect on audit quality. Audit tenure can moderate the effect of audit fees on audit quality, but cannot moderate the effect of company size on audit quality. The discussion further explores the implications of these findings on auditing practices, potential areas for improvement, and considerations for regulatory frameworks.

Stages of development of artificial intelligence in the banking sector

Artificial intelligence is transforming many areas of activity, including completely transforming banks. Artificial intelligence offers solutions to improve the rationality of decisions, the speed and accuracy of information processing, the provision of ready–made solutions and the implementation of monitoring operations. This article examines the evolution of artificial intelligence in the banking sector. The key areas of AI use in the financial market are highlighted, such as scoring and underwriting, anti–fraud, investment portfolio management, robo–consulting, monitoring client requests and others.The subject of the research in the article is the system of relations arising during the transformation of the banking sector with the introduction of artificial intelligence.

Principles of Working with Existential Requests of Clients of Different Ages Using the Example of the Method of Transformational-Integrative Generation of Development

The article examines the essence and main issues of existential choice. Describes the specifics of transformational games (t-games) as an existential process; their psychological content and functional significance are revealed and justified. Based on the limitations in working with the existential needs of clients is revealed. Using the example of the method of transformation-integration generation of development, the principles of t-game work with clients’ existential requests are substantiated. The methodology of nonclassical psychology by G. S. Prygina is proposed as a methodological basis. Examples are given from the practice of working with different existential queries by clients of different ages. It is concluded that the t-game is not a toy, which is why it is important to introduce certification criteria for both leading and the tools themselves. Options for researching the possibilities of t-games and the subjective reality that opens up in them are proposed.

Client request for ‘euthanasia’ of a feline patient with suspected diabetes mellitus

Client request for ‘euthanasia’ of a feline patient with suspected diabetes mellitus

Study of data replication process using Raft replication algorithm to maintain consistency in server cluster

The article considers the issues of ensuring availability and fault tolerance of a server cluster. The analysis of methods and technologies for increasing system reliability and improving performance, such as data replication, automatic switching between servers and fast recovery after failures, is carried out. It is indicated that the key element in modern distributed systems is replication-based clustering. The types of replication are analyzed. It is shown that during the operation of the system, there is a choice between the stability of the received data and the speed or scaling limitation. It is shown that the Raft algorithm is one of the reliable mechanisms with a high level of availability for achieving consensus and data management. An analysis of the literature on the use of the Raft consensus algorithm is carried out. The replication process using the Raft algorithm is analyzed. It is substantiated that it is possible to ensure strong consistency and high availability of the cluster using the management and control mechanism on the Kubernetes platform while maintaining cluster configuration synchronization. The Raft consensus process is studied using the M/M/s QS model. The exponential distribution of time between client requests and servicing with a certain number of servers is considered. The program code for the mathematical model in Python has been developed. Modeling has been performed in the Visual code environment in Python. The following parameters have been studied: the number of servers that operate at a certain average speed, the expected time of a client request in the system, and the probability of message delay. It has been proven that as the arrival speed increases, the expected time of a client request increases. The analysis provides an understanding of how the Raft algorithm works in different contexts and is applicable to optimizing system design processes.

“Culture is not a Disease. There is No Need to Cure Clients from Their Culture”

Interview with Olga Sergeevna Pavlova, a practicing psychologist, head of the Department of Ethnopsychology and Psychological Problems of Multicultural Education at Moscow State University of Psychology and Education (MSUPE), about the peculiarities of psychological counseling with clients from different national regions, with different religious views. In the interview, we are talking about the specifics of client requests, the specifics of the approach to choosing counseling methods, the position of a psychologist who must take into account the cultural and religious affiliation of the client. It also describes the difficulties that a psychologist may face in working with religious clients, and ways to overcome them.

Hybrid Cost Optimized Load Balancing in Cloud

Abstract: Cloud infrastructure goods and a collection of servers are housed in a cloud datacenter. When a client requests that a particular task be performed, the request is routed to a server that has the resources to do the task. A suitable virtual machine (VM) operating on it in turn handles the request. The current research suggests a cloud-based cost-optimized hybrid load balancing method that chooses the virtual machine to assign jobs depending on the VM's availability and its active connections at that precise moment. Also, it examines the prices of the various virtual machines and data transfer cost to choose the one that will fulfill the request for the lowest cost. In almost all test cases, the suggested technique reduced overall response time and cost. Resources are de-provisioned from a pool of resources once they have been used for a set of specific workloads. The quality of service(QOS) for the end customers must be ensured during this processing period. The main objective of this research is to make it possible for end customers to access services at the lowest possible cost and response time.

Strategic Talent Management: Aligning HR Practices with Organizational Objectives for Sustainable Competitive Advantage

The talent management thought, which envelops all parts of human resources by improving representatives' skills and mastery through different ways, is viewed as a foundation in human resource management studies. The financial business is investing some parcel of energy into making proficient faculty management frameworks. This study intends to lay out a connection between talent management and organizational execution as well as to feature the strategic meaning of talent management. Scientists took a gander at what staff management means for an association's general viability. The ongoing review analyzes how government foundations capability corresponding to human resource management. In a financial scene that is changing rapidly because of elements like globalization, financial backer and client requests, and the expansion of items available, government foundations are continually endeavoring to work on their presentation by reducing expenses, modernizing cycles and items, and upgrading quality to remain competitive and make due. An examination of the current review was directed utilizing a quantitative exploration technique. For this examination, an example size of 240 respondents was utilized. Except for the fifth speculation, which guaranteed that "decentralization is decidedly connected with organizational execution," the theories were all observed to be bogus. Thus, it was resolved that decentralization emphatically connected with organizational execution.

Comparison of Web Page Rendering Methods Based on Next.js Framework Using Page Loading Time Test

In the rapidly developing digital age, websites have become indispensable for interaction, information dissemination and transaction. To improve the performance of web applications, choosing the right rendering technology is critical. Next.js is a framework designed to overcome React's limitations in server-side rendering. This study investigates the effectiveness of Client-side Rendering (CSR), Server-side Rendering (SSR), and Static Site Generation (SSG) on the Next.js-based Filmku website using the loading time method. The study concentrates on page loading speed, complete page rendering speed, and user experience. The authentication page takes 422 ms to complete the CSR process, which is 57.41% slower than the SSG finish time of 180 ms and 34.88% slower than SSR, which completes the authentication page in 274 ms. On the Profile page, SSG completes the page rendering process much faster, taking only 524 ms, which is 25.79% faster than SSR's completion time of 706 ms and even 13.75% faster than CSR's completion time of 608 ms. The SSG rendering method completed in 1,135 ms on the main page, which is 15.93% faster than the CSR completion time of 1,350 ms and 25.57% faster than the SSR completion time of 1,525 ms. It is evident that SSG has a faster rendering speed compared to the other methods. However, it should be noted that CSR may result in slower initial page load times. SSR can provide stable rendering times, but it can also burden the server as every client request is fully processed on the server.

Reverse Proxy Technology

Reverse proxy technology plays a critical role in modern web architecture by enhancing security, improving performance, and facilitating efficient content delivery. This paper provides a comprehensive review of reverse proxy technology, covering its fundamental concepts, architectural components, deployment scenarios, and practical applications. We delve into the mechanisms behind reverse proxy servers, discussing how they intercept client requests and forward them to backend servers, as well as how they handle responses. Additionally, we explore the various benefits of using reverse proxies, such as load balancing, SSL termination, caching, and protection against common web attacks. Furthermore, we analyze real-world use cases of reverse proxy technology across different industries, including e-commerce, media streaming, and enterprise applications. Lastly, we go over new developments and trends in reverse proxy technology, like the use of serverless architectures for deployments that are both scalable and economical and the incorporation of machine learning for intelligent request routing. Our goal in offering this thorough review is to improve knowledge of reverse proxy technology and stimulate additional study and advancement in this area.

Maximizing the Efficiency and Performance: The Role of Load Balancer in Modern Cloud Computing Environment

Load balancing is a process of distributing the client requests from client application to the backend servers in an efficient way throughout the internet.There are several algorithms available to distribute this request. Cloud computing generally based on “pay per use” model that provides services like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS). we have different types of cloud types like Public, Private, Hybrid and Community clouds. While making the efficiency and performance maximum we will face some challenges and we need to make key strategies, The evolving role it plays in the pursuit of superior performance and scalability. Optimizing resource utilization and maintaining consistent performance are crucial for businesses and organizations in the dynamic cloud computing landscape. In this we have discussed about Golden Eagle optimization Algorithm (GEO) and Mouse And Cat optimization(CMO) algorithm .The proposed Mouse-Cat-Golden Eagle (MCGEO) algorithm employs a unique combination of three animal- inspired optimization techniques to dynamically allocate tasks across servers in a distributed computing environment.

Development of the consulting services market in Ukraine amid contemporary changes

The article examines the peculiarities of the consulting services market in Ukraine amid wartime conditions, as well as the influence of external and internal factors on the development of the consulting services market in Ukraine. Additionally, the authors analyze key indicators of the Ukrainian consulting services market based on statistical data and conduct a detailed investigation into how full-scale war affects its development. The article also assesses the business environment's response to unstable conditions, including companies' financial reserves, cost optimization, and management strategies. Special attention is given to the impact of war on the demand and supply of consulting services. It investigates which market segments suffered the most due to the war, how the structure of client requests has changed, and what new requirements have emerged for consulting services. The article thoroughly analyzes the influence of supply and demand factors on the functioning of the consulting services market in Ukraine, based on statistical data, key operational aspects, and regulatory frameworks. It examines the size and main characteristics of the consulting services market, delving into its structure and key participants. Particular focus is placed on evaluating trends in the industry's development and identifying factors affecting its effectiveness. The research employs various methods, including statistical data analysis, expert surveys, and comparative analysis with macroeconomic indicators. Specifically, the study aims to determine the interrelation between the development of the consulting market and economic processes in Ukraine. Based on the findings, patterns of development in the Ukrainian consulting services market are identified, recommendations for strategic planning and improvement of this sector are formulated, and a forecast for its development is constructed. The conclusions of the study may be valuable for professionals interested in the consulting services market in Ukraine, as well as for businesses and governmental entities involved in regulating this industry.

Intelligent System Development for Plant Cultivation Complex by Means of the Internet of Things Concept

The article presents a problem solution of plant cultivation automation using the Internet of Things concept. Using an intelligent system to control a hydroponics installation allows you to increase the energy efficiency of growing plants by introduction of intelligent technologies. The application of the Internet of Things concept allows a more qualitative approach to the search and application of methods of rational modern production. This concept allows the collected data to be Wi-Fi transferred from the microcontroller to a computer via a server, which is very effective in environments with large number of sensors. In this case, both time and material costs per share of production are significantly reduced. The work identified the requirements for a recording and control device in an intelligent system that connects to the Internet for further data processing, configuration and execution of the operating mechanism, and stages of operation of the growing system. Part of the control system for a plant cultivation complex using microcontroller devices available on the market, such as ESP, is considered. A constructive functional design of the device was developed. In addition, it was determined that the intelligent system contains the following modules: thing (the physical controller itself - device, peripherals), network (a network of devices and communication channels that ensure the transfer of information according to network protocols), cloud (includes a server that processes client, storage and web service requests). A description of the first module is given, which includes the main controller board with an esp12e microcontroller. The second module contains printed circuit boards for the power supply and controller, which were designed and laid out using the EasyEDA web service. For the third module, three-dimensional models of the power supply and main board were obtained in the EasyEDA web service environment.

Leveraging Salesforce Analytics for Enhanced Business Intelligence

Salesforce Analytics is a strong business intelligence (BI) solution that turns raw data into actionable insights. Today's data-driven world requires fast, reliable data analysis for business choices. Salesforce Analytics' broad range of solutions helps organizations use data for better decision-making, operational efficiency, and strategic planning. Integration of Salesforce Analytics into company processes has several benefits. First, it gives organizations real-time knowledge to adapt quickly to market developments and client requests. Organizations may track KPIs and trends using customisable dashboards, automatic reporting, and predictive analytics. Real-time visibility empowers decision-makers to prevent concerns from becoming major ones. Salesforce Analytics' unified data access and analysis platform improves departmental cooperation. Team members may easily exchange insights and reports, breaking down silos and promoting data-driven culture. On-demand report creation and sharing guarantees that all stakeholders have the same information, resulting in better aligned and informed decision-making. Customer relationship management is another important Salesforce Analytics function. The software analyzes touchpoint data to help companies understand their consumers. Businesses may detect client preferences, forecast behavior, and tailor marketing by using this data, improving customer happiness and loyalty. Salesforce's AI-powered analytics help foresee client wants and personalize offerings. Salesforce Analytics also improves forecasting and planning. Organizations may forecast future performance better by evaluating previous data and patterns. This skill is crucial in sales forecasting, inventory management, and financial planning, where precise projections ensure operational efficiency and profitability. Another benefit of Salesforce Analytics is third-party data integration. To get a complete picture of their operations, businesses may mix data from social media, email marketing, and e-commerce platforms. Integration improves strategic choices and corporate results by enabling more complete analysis. The platform's versatility lets analytics tools be customized to match corporate demands, boosting its BI solution value. Data security is crucial in the digital era, and Salesforce Analytics takes it seriously. The platform protects critical company data using encryption, access restrictions, and industry standards. Businesses may use their data confidently because of this security assurance. Finally, Salesforce Analytics improves business intelligence by offering real-time insights, collaboration, customer knowledge, and precise forecasting and planning. In today's fast-paced corporate world, its ability to interact with third-party data sources and secure data analysis makes it a useful tool. Salesforce Analytics will allow data-driven decision-making and strategic planning to help companies accomplish their objectives and expand sustainably as they navigate the contemporary market.

Client-server Architecture, a Review

Client-server architecture is a software model through which resources and requests are serviced over a network. The client requests a resource over a network, and the server receives the request, processes it, and responds appropriately. With this model, multiple users can simultaneously access and use resources. This paper provides an overview of the architecture, outlining its characteristics, advantages, disadvantages, different implementations of the architecture as well as the current and future of this architecture.

PERFORMA MICROFRAMEWORK PHP PADA REST API MENGGUNAKAN METODE LOAD TESTING

The need for flexibility in application development by minimizing the constraints of a server production environment makes n-tier architectures increasingly used. This architecture is implemented in the form of middleware or often called API. REST API is an API architecture that is currently the most widely used for middleware-based application development.
 PHP is an easy-to-use programming language for developing REST APIs with its microframework. Each microframework has features such as database connection handling, URL routing, and performance is the top one. The large number of PHP microframeworks with different performance issues makes the selection of API-based application development cores very important. Especially if it is projected to handle data exchange or client requests in large numbers. As a basis for selection, performance testing needs to be carried out on each microframework to determine its suitability for API-based application development.
 Performance testing uses the load testing method and develops the popular PHP microframework as a basis for creating test applications. The microframework includes FatFree, Lumen, Phalcon-micro, and Slim. Testing is carried out systematically using a test plan that has been designed for performance testing needs. The focus is to analyze the RPS (Request Per Seconds) and latency to the percentile that the wrk2 test tool generates on a predetermined test type

Dynamic Canonical Data Model: An Architecture Proposal for the External and Data Loose Coupling for the Integration of Software Units

Integrating third-party and legacy systems has become a critical necessity for companies, driven by the need to exchange information with various entities such as banks, suppliers, customers, and partners. Ensuring data integrity, keeping integrations up-to-date, reducing transaction risks, and preventing data loss are all vital aspects of this complex task. Achieving success in this endeavor, which involves both technological and business challenges, necessitates the implementation of a well-suited architecture. This article introduces an architecture known as the Dynamic Canonical Data Model through Agnostic Messages. The proposal addresses the integration of loosely coupled software units, mainly when dealing with internal and external data integration. To illustrate the architecture’s components, a case study from the Mexican Logistics Company Paquetexpress is presented. This organization manages integrations across several platforms, including SalesForce and Oracle ERP, with clients like Amazon, Mercado Libre, Grainger, and Afull. Each of these incurs costs ranging from USD 30,000 to USD 36,000, with consultants from firms such as Quanam, K&F, TSOL, and TekSi playing a crucial role in their execution. This consumes much time, making maintenance costs considerably high when clients request data transmission or type changes, particularly when utilizing tools like Oracle Integration Cloud (OIC) or Oracle Service Bus (OSB). The article provides insights into the architecture’s design and implementation in a real-world scenario within the delivery company. The proposed architecture significantly reduces integration and maintenance times and costs while maximizing scalability and encouraging the reuse of components. The source code for this implementation has been registered in the National Registry of Copyrights in Mexico.