Implementation Of System Research Articles

Precision Oncology implementation in a regional-based health care system: a professional consensus to define the pathway

Precision Oncology requires deep changes in organizational settings but little evidence has been identified about the best strategy to guarantee the delivery of this innovation to patients. In the Italian health care system, high heterogeneity could jeopardize equal access opportunity for patients. Following a consensus method, we aim to define shared solutions to address these issues in clinical practice. A Delphi RAND method was chosen to record the consensus among involved health care professionals in the Italian region of Friuli Venezia Giulia. The item generation phase was conducted following a bottom-up approach. Ten statements were defined on the main topics that emerged from the direct observation of the current practice, focusing on Molecular Tumor Board organization, massive parallel sequencing technology application, laboratory report content and informed consensus submission. All the statements reached a strong consensus and have been shared with the health care government authorities of our region. The direct observation of the current practice in different health care authorities allowed to define ten statements as solution proposals to solve the identified complexities. This methodological approach could be applied in different organizational models but aiming to achieve a homogeneous clinical outcome for patients.

MECHATRONIC SYSTEMS FOR SILKWORM EGG INCUBATION

Silkworm (Bombyx mori) egg incubation is a critical phase in sericulture, demanding precise environmental conditions for optimal hatch rates. This article introduces the implementation of mechatronic systems in silkworm egg incubation. It discusses the design, operation, and impact of these systems on hatchery performance. Our findings illustrate that mechatronic systems offer enhanced control, resulting in improved hatch rates and overall silkworm health.

Virtual Roaming of Cultural Heritage Based on Image Processing

ABSTRACTWith the digital protection and development of cultural heritage as a focus, an analysis of the trends in cultural heritage digitization reveals the importance of digital technology in this field, as demonstrated by the application of virtual reality (VR) to the protection and development of the Lingjiatan site. The implementation of the Lingjiatan roaming system involves sequential steps, including image acquisition, image splicing, and roaming system production. A user test was conducted to evaluate the usability and user experience of the system. The results show that the system operates normally, with smooth interactive functions that allow users to tour the Lingjiatan site virtually. Users can learn about Lingjiatan's culture from this virtual environment. This study further explores the system's potential for site preservation and development, and its role in the integration of cultural heritage and tourism.

The implementation of an electronic symptom management system to monitor the severity of symptoms in gynecologic oncology patients initiating chemotherapy: A multicenter evaluation

The implementation of an electronic symptom management system to monitor the severity of symptoms in gynecologic oncology patients initiating chemotherapy: A multicenter evaluation

Development of International Green Building Rating Systems And Local Implementation

Development of International Green Building Rating Systems And Local Implementation

MKIDGen3: Energy-resolving, single-photon-counting microwave kinetic inductance detector readout on a radio frequency system-on-chip.

Microwave Kinetic Inductance Detectors (MKIDs) are superconducting detectors capable of single-photon counting with energy resolution across the ultraviolet, optical, and infrared (UVOIR) spectrum with microsecond timing precision. MKIDs are also multiplexable, providing a feasible way to create large-format, cryogenic arrays for sensitive imaging applications in biology, astronomy, and quantum information. Building large, cryogenic MKID arrays requires processing highly multiplexed, wideband readout signals in real time; this task has previously required large, heavy, and power-intensive custom electronics. In this work, we present the third-generation UVOIR MKID readout system (Gen3), which is capable of reading out twice as many detectors with an order of magnitude lower power, weight, volume, and cost-per-pixel as compared to the previous system. Gen3 leverages the Xilinx RFSoC4x2 platform to read out 2048, 1MHz MKID channels per board. The system takes a modern approach to FPGA design using Vitis High-Level Synthesis to specify signal processing blocks in C/C++, Vivado ML intelligent design runs to inform implementation strategy and close timing, and Python productivity for Zynq to simplify interacting with and programming the FPGA using Python. This design suite and tool flow allows general users to contribute to and maintain the design and positions Gen3 to rapidly migrate to future platforms as they become available. In this work, we describe the system requirements, design, and implementation. We also provide performance characterization details and show that the system achieves detector-limited resolving power in the case of few readout tones and minimal degradation with all 2048 tones. Planned upgrades and future work are also discussed. The Gen3 MKID readout system is fully open-source and is expected to facilitate future array scaling to megapixel-sized formats and increase the feasibility of deploying UVOIR MKIDs in space.

A scoping review, novel taxonomy and catalogue of implementation frameworks for clinical decision support systems

BackgroundThe primary aim of this scoping review was to synthesise key domains and sub-domains described in existing clinical decision support systems (CDSS) implementation frameworks into a novel taxonomy and demonstrate most-studied and least-studied areas. Secondary objectives were to evaluate the frequency and manner of use of each framework, and catalogue frameworks by implementation stage.MethodsA scoping review of Pubmed, Scopus, Web of Science, PsychInfo and Embase was conducted on 12/01/2022, limited to English language, including 2000–2021. Each framework was categorised as addressing one or multiple stages of implementation: design and development, evaluation, acceptance and integration, and adoption and maintenance. Key parts of each framework were grouped into domains and sub-domains.ResultsOf 3550 titles identified, 58 papers were included. The most-studied implementation stage was acceptance and integration, while the least-studied was design and development. The three main framework uses were: for evaluating adoption, for understanding attitudes toward implementation, and for framework validation. The most frequently used framework was the Consolidated Framework for Implementation Research.ConclusionsMany frameworks have been published to overcome barriers to CDSS implementation and offer guidance towards successful adoption. However, for co-developers, choosing relevant frameworks may be a challenge. A taxonomy of domains addressed by CDSS implementation frameworks is provided, as well as a description of their use, and a catalogue of frameworks listed by the implementation stages they address. Future work should ensure best practices for CDSS design are adequately described, and existing frameworks are well-validated. An emphasis on collaboration between clinician and non-clinician affected parties may help advance the field.

Effectiveness of EHR systems on decision support in primary healthcare: a technology acceptance model 3 perspective.

This study aims to evaluate healthcare practitioners' perceptions of electronic health record (EHR) systems and their effectiveness in supporting clinical decision-making in Tanzanian Primary Healthcare (PHC) facilities. A mixed-methods approach was employed, combining quantitative data from structured questionnaires and qualitative insights from open-ended responses. The study was conducted in the Dodoma region of Tanzania, focusing on a diverse representation of PHC facilities, including district hospitals, health centres and dispensaries. Data were analysed using multiple linear regression for quantitative data, and thematic analysis was applied to qualitative responses. The results revealed that while EHR systems are widely used in Tanzanian PHC facilities, their impact on clinical decision-making remains limited. Only a moderate portion of practitioners perceived EHR systems as effective in decision support, and frequent system use was negatively correlated with user satisfaction. Challenges such as inadequate training and support, system crashes, slow performance and poor usability and integration into clinical workflows were significant barriers to effectively utilising EHR systems. This study contributes to the limited literature on EHR system implementation in low-resource settings, specifically Tanzania, by focusing on decision-support features within EHR systems. The findings offer valuable insights for healthcare policymakers, system designers and practitioners to optimise EHR implementation and improve healthcare outcomes in resource-constrained environments.

특수교육 분야에서 살펴본 고교학점제: 질적 메타분석 연구

Objectives The purpose of this study is to provide policy implications based on the implementation of the high school credit system in the field of special education in relation to the high school credit system that will be fully introduced from 2025. Methods This study conducted a qualitative meta-analysis on eight qualitative studies conducted on special schools and special classes in general high schools that have been designated and operated as high school credit system research and leading schools. Results First, it was confirmed that teachers, parents, and students agreed on the purpose and significance of in-troducing the high school credit system, but were negative about the curriculum, organization, and support sys-tem for those eligible for special education. Second, regarding the implementation of the high school credit sys-tem in the field of special education, education providers and education consumers proposed the establishment of specific systems and guidelines according to the type and characteristics of disabilities and the expansion of administrative and financial support. Third, while social awareness and environment regarding disabilities are changing, there appears to be a demand for a paradigm shift in career and vocational education for students eligi-ble for special education following the implementation of the high school credit system. Conclusions Based on these results, the high school credit system curriculum, support system, and awareness in the special education curriculum that will be implemented from 2025 were discussed and future tasks were presented.

Smart Attendance Management System with QR Code Authentication

Abstract: This paper presents the development of a Smart Attendance Management System (SAMS) designed to automate and streamline the process of tracking attendance in educational institutions and workplaces. The proposed system utilizes advanced technologies such as facial recognition and QR code to accurately and efficiently monitor attendance. By eliminating the need for manual entry, the system reduces human error, saves time, and enhances data accuracy. The SAMS also integrates with databases and analytics tools to provide real-time reporting and insights, helping institutions make data-driven decisions. The study outlines the system's architecture, implementation, and potential impact, demonstrating its ability to enhance operational efficiency and improve user experience in diverse environments

Design and Implementation of a Personalized Text-Based Recommendation System

Abstract: We all know that in the competitive & ever evolving Age of content -less is more and relevancy increases engagementwhich should be focal on UX. In this paper, we describe the designing and implementation of a text-based recommendation system that specializes in offering automatic personalized recommendations for textual content-dependent on user preferences, and behavior. Analyze text data and receive tailored, contextual recommendations using Natural Language Processing (NLP) and machine learning methods. This system combines collaborative, content-based and hybrid filtering techniques along with adaptive learning to improve the accuracy of recommendations over time as user interests change. Analysis of real-world datasets indicates that the system dramatically enhances recommendation precision and user satisfaction. The results highlight the promise of tailored recommendations in areas like commerce and digital media to online education, primarily filtering great volumes of information for a more customized experience

Accident Prevention System for Cars, Buses, Trucks

Driver drowsiness is a significant factor in road accidents, contributing to a large number of crashes annually. To enhance road safety, the development of a Drivers Drowsiness Detection System is essential. This system builds to detect early signs of lazyness in drivers and provide timely alerts to prevent accidents. The proposed system uses to track key indicators of drowsiness, such as eye closure, head position, yawning, and blink rate. By utilizing a camera-based real-time monitoring system, it continuously analyzes the driver’s facial expressions. The system employs cadcade algorithms to distinguish a featurebased object detection algorithm to detect objects from images between alert and drowsy states based on collected data. When drowsiness is detected, the system triggers alerts like audio warnings, seat vibrations, or even vehicle slowing mechanisms, depending on the integration. This technology has the potential to significantly reduce the number of road accidents related to driver fatigue and could be applied in both personal vehicles and commercial fleets. The implementation of such systems represents a critical step toward improving road safety and decreasing driver-related incidents. Nowadays it is very challenging to stay active all the time due to busy schedules. Falling asleep while driving can lead to serious consequences, accidents, and even death. This situation is much more common and therefore it is very important to solve this problem. So, to solve this problem, we developed a sleep alarm system for drivers. This system alerts the user when he falls asleep at the wheel, thus the main concern is preventing accidents and saving lives. This system is useful for long- distance travelers and late-night drivers.

The Implementation of Basic Education Data System at Muhammadiyah 9 Elementary School, Palembang

This research aims to examine the implementation of the DAPODIK program at Muhammadiyah 9 Elementary School in Palembang, including its supporting and inhibiting factors. It utilizes a qualitative descriptive approach with informants comprising the School Principal, Administrative Staff, and Operators. Data collection techniques include observation, interviews, and documentation, while data analysis involves data reduction, data presentation, and drawing conclusions. Data validity was ensured through technique and source triangulation. Findings indicate that the implementation of the DAPODIK program at SD Muhammadiyah 9 Palembang is fairly effective, focusing on directives, coordination, communication, and motivation. Factors supporting this include adequate facilities, competent human resources, and reliable internet connectivity. Conversely, challenges include data synchronization limitations and server downtime during DAPODIK updates. In conclusion, the DAPODIK program at SD Muhammadiyah 9 Palembang is generally effective, facilitated by effective guidance, motivation, and efficient coordination and communication.

Implementasi Sistem Informasi Manajemen Nikah Online (Simkah) dalam Administrasi Pernikahan di Kua Kecamatan Bajeng Kabupaten Gowa

This study aims to analyze the implementation of the online Marriage Management Information System (SIMKAH) in marriage administration at the Office of Religious Affairs (KUA) of Bajeng District, Gowa Regency. The main focus of this research is to understand how SIMKAH is implemented and the obstacles faced in the process. This study raises two main questions: (1) What is the role of the KUA in implementing SIMKAH in Bajeng District, Gowa Regency, South Sulawesi? and (2) What are the factors that hinder the implementation of SIMKAH in the KUA? This research uses a qualitative approach with triangulation methods in data collection, which involves observation, interviews, and documentation. The research informants consist of the Head of KUA and administrative staff directly involved in the implementation of SIMKAH. The approach used in this study is normative and juridical, which allows the researcher to understand the legal aspects and regulations related to SIMKAH. The results of the study show that the implementation of SIMKAH at the KUA of Bajeng District has made a positive contribution to improving the efficiency of marriage administration; however, several challenges remain, including limited human resources and inadequate technological infrastructure. These findings are expected to serve as an evaluation for improving technology-based marriage administration services at KUA.

SWOT ANALYSIS FOR DEVELOPING COMPETITIVE ADVANTAGES FOR ONLINE FOOD BUSINESS VIA DIGITAL MARKETING

Cencan Food, as an online food business that serves chicken dishes, snacks, and modern drinks, faces challenges in maintaining competitiveness in the increasingly competitive online food industry. This study aims to analyze the strengths, weaknesses, opportunities, and threats (SWOT) faced by Cencan Food, as well as formulate the right strategy to build competitive advantage through digital marketing. The SWOT analysis identified several key strengths of Cencan Food, such as the ability to adopt new technologies and the appeal of its products to various customer segments. However, several weaknesses found were inconsistencies in product quality and limitations in marketing resources. Key opportunities that can be utilized include increasing the use of social media and food delivery applications, while threats faced include intense competition and healthier food trends. The proposed strategies include menu diversification and implementation of a quality control system. Cencan Food can contribute to the Sustainable Development Goals (SDGs), especially for responsible consumption and production by prioritizing the use of sustainable raw materials and reducing food waste. Through this approach, Cencan Food is expected to strengthen its position in the market and achieve sustainable business growth. This study provides important insights for online food businesses in facing market challenges and taking advantage of digitalization opportunities.

A Study on the Impact of Quality and HCI Factors of a Deep Learning-Based Makeup Recommendation System on Acceptance Intention: Focusing on the Mediating Effects of Users’ Perceived Trust and Immersion

This study analyzed the impact of system quality and HCI factors on user acceptance intention, mediated by perceived trust and immersion, in the context of a deep learning-based makeup recommendation system. The results indicate that system quality and HCI factors significantly influence user acceptance intention through perceived trust and immersion. This underscores the importance of system quality and HCI factors for the successful application of makeup recommendation systems. In particular, factors such as diversity, accuracy, anthropomorphism, and realism enhance user trust and immersion, leading to higher acceptance intention. However, it was found that certain factors, such as personalization, do not significantly influence acceptance intention through immersion. This suggests that the impact of specific factors should be considered in the design of recommendation systems. The study is limited by its focus on a specific age group and gender in the survey, which may restrict the generalization of the results. Additionally, there is a lack of research on users with different cultural backgrounds, necessitating an understanding of the global market applicability. Future research should extend to users with diverse demographic characteristics to derive universal design principles for makeup recommendation systems. Furthermore, the impact of factors such as personalization on user experience should be explored in depth to enhance user-centered, customized beauty services. This research provides a theoretical and practical foundation for the effective design and implementation of makeup recommendation systems and is expected to contribute to the digital transformation of the beauty industry.

ANALYSIS OF THE EFFECT OF IMPLEMENTING A DIGITAL TECHNOLOGY-BASED ACCOUNTING SYSTEM ON THE FINANCIAL PERFORMANCE OF MSME’S IN INDONESIA

The primary objective of this study is to examine the impact of introducing a digital technology-driven accounting system on the financial outcomes of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. In today's digital age, integrating technology into accounting systems plays a crucial role in enhancing the efficiency and transparency of financial reporting in MSMEs. The research employs a quantitative approach, utilizing a survey method to gather data from 150 MSMEs operating across various industries. Through the analysis of data using multiple linear regression, the study aims to assess the correlation between the implementation of a digital accounting system and financial performance, as measured by metrics such as profitability, cost effectiveness, and liquidity. The findings of this study reveal a positive and significant impact of incorporating a digital technology-based accounting system on the financial performance of MSMEs. The results suggest that MSMEs that embrace accounting technology demonstrate superior financial performance in comparison to those that adhere to traditional approaches. Consequently, this research imparts practical implications for MSME operators, encouraging them to actively adopt digital technology as a means to enhance financial performance and gain a competitive edge in the market.

Barriers to the Implementation of On-Grid Photovoltaic Systems in Ecuador

Barriers to the Implementation of On-Grid Photovoltaic Systems in Ecuador

Wireless Sensing Network for Implementation of Air Quality Monitoring System and Indoor Air Quality Index Application

Indoor air quality significantly impacts respiratory health and mental activity. This study utilizes a wireless sensing network (WSN) based on the Internet of Things (IoT) to monitor indoor air quality, referred to as an indoor air quality monitoring system. The system was installed and applied on campus at the University of Baghdad. The present study aims to monitor air quality parameters continuously within laboratories. Carbon monoxide, sulfur dioxide, nitrogen dioxide, ammonia, and particulate objects are the pollutants chosen to be monitored by the installed system in this study. These pollutants were selected because they affect indoor facilities' comfort, health, and working conditions. Colored coded data was employed in the monitoring system; defined ranges for each pollutant were also integrated. Sensor nodes, wireless modules that connect to the IoT server, and user applications are the main components of the IAQMS system. LCDs, mobile applications, the ThingSpeak web server, and the LabView platform are examples of techniques used to present data collected by the system. Additionally, the system includes a notification function that alerts students and lab personnel when indoor air quality index IAQI values signal unhealthy indoor air quality. The proactive approach ensures a regulated standard for indoor air quality and pollutants.

FINANCING THE IMPLEMENTATION OF HR ENGINEERING IN MANUFACTURING ENTERPRISES IN THE CONTEXT OF THE COUNTRY'S DIGITAL ECONOMY FORMATION

The article is devoted to the study of possible prospects for financing the implementation of HR engineering at manufacturing enterprises in the conditions of the formation of a digital economy. In the process of research, the authors considered the possibilities of implementing HR engineering at production enterprises and focused attention on the main directions of implementation. The principles of financing enterprises that implement changes and transform are revealed. Approaches and strategies aimed at optimizing human capital management in the company are proposed. The authors noted the following main tools of HR engineering for the development and improvement of HR processes, which are key to building effective human capital management strategies in the organization and require funding: organizational management structure, strategic maps, creation of a portrait of personnel competencies, modelling of the human resources management process resources, development of a goal tree, increased flexibility of HR management processes, implementation of a balanced system of indicators. The authors' comprehensive analysis of the implementation of digital HR solutions by manufacturing enterprises in previous years made it possible to identify the most important obstacles to the successful implementation and financing of innovations and digital solutions, the main of which are: insufficient financial resources for the implementation of innovative projects; lack of sufficient financial assistance and stimulation from the state; large financial costs associated with changes in the infrastructure and introduction of new technologies; low interest of investors, which may limit access to external sources of financing; some innovations may require a long payback period, which becomes a challenge for companies; high interest rates on loans can make it difficult to finance innovative projects. Considering these financial factors, it is important to develop comprehensive strategies and tools to overcome obstacles and stimulate the innovative and digital development of manufacturing enterprises.