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Pharmacogenomics (PGx) is a powerful tool for clinical optimization of drug efficacy and safety. However, due to many factors affecting drugs in the real world, PGx still accounts for a small proportion of actual clinical application scenarios. Therefore, based on the information software, pharmacists use their professional advantages to integrate PGx into all aspects of pharmaceutical care, which is conducive to promoting the development of personalized medicine. In this paper, the establishment of an information software platform is summarized for the optimization of a personalized medication program based on PGx. Taking colorectal cancers (CRC) as an example, this paper also discusses the role of PGx in different working modes and participation in drug management of CRC patients by pharmacists with the help of information systems. Finally, we summarized the recommendations of different PGx guidelines to provide reference for the follow-up personalized pharmaceutical care. [ABSTRACT FROM AUTHOR]

In 2021, 12 fraudulent cases were identified in the Chinese carbon market. As a critical component of this emerging market, China's carbon-credit scheme in the automotive sector faces several shortcomings, including informational opacity and operational inefficiency, which affect market functionality and fairness. This study develops an information system that integrates blockchain technology and the Internet of Things to manage a carbon-credit scheme. Specifically, we attached carbon credits to each vehicle with radio frequency identification electronic tags and a chained data structure to ensure the traceability and reliability of information flow. We use the distributed ledger technology and establish five distinct types of smart contracts for decentralized operations to ensure that all procedures of the Chinese carbon-credit scheme are standardized and under public scrutiny. The proposed infrastructure has the potential to significantly enhance the transparency and efficiency of China's carbon-credit schemes. [ABSTRACT FROM AUTHOR]

This study aimed to evaluate the effectiveness of a patient-centered standardized prophylaxis process in improving patient satisfaction and intentions to return to dental clinics. Conducted in a first-tier city in China from 9 June to 26 July 2023, the cross-sectional survey included 826 patients from 38 dental clinics. Among the respondents, 438 received standardized prophylaxis services, while 388 were in the non-standardized group, with a mean age of 38.2 ± 12.1 years and 50.24% male participation. The results revealed that patients in the standardized prophylaxis group reported significantly higher satisfaction scores (average 4.74 vs. 3.34, p < 0.0001) and greater intentions to return (average 4.77 vs. 4.10, p < 0.0001) compared to those receiving non-standardized care. The ordinal logistic regression analysis identified patient satisfaction as a strong predictor of return intention, with an odds ratio of 24.487, while the standardized service group had an odds ratio of 16.063, indicating a substantial positive effect on satisfaction. Age was also found to significantly affect return intention, reflected in an odds ratio of 0.969. Furthermore, the model showed strong predictive accuracy, which was supported by a Somers' D value of 0.806. Additionally, an impressive 89.9% of the observations were correctly ordered, which strengthens the reliability of the findings. These outcomes highlight the significant contribution of patient-centered, standardized practices to the satisfaction of the patients as well as the development of their desire to return for follow-up care. However, the findings should be interpreted with caution due to the study's cross-sectional nature, which limits causal inferences, and the specific demographic characteristics that may affect the general applicability of the results. Further research is needed to explore these dynamics across diverse populations and settings. [ABSTRACT FROM AUTHOR]

Previous literature has proposed that parallel processing theories can be used to describe the architecture of human information processing. However, it remains uncertain whether these theories apply to decision-making involving movement effectors. This study conducted a field simulation experiment to replicate a basketball player's decision to switch from a shoot to a pass during a jump shot. In Experiment 1, which examined the effect of changes in the severity of time constraints on the changes in the switching success rate, we found that shooters can switch from a shoot to a pass, even when temporal limits are exceeded, which supports the application of parallel processing principles to human movement dynamics. In Experiment 2, which confirmed the reflection of parallelism in information systems on the movement effectors, we observed strategies in which players paused their elbow joint angle in mid-air and delayed ball release during goal switches, indicating a parallel processing approach. These results exemplify how humans prepare to make two movements with different goals in parallel, which can be transferred to either movement if the movements are differentiated on the way from a common motion. These findings advance our understanding of how human cognition and motor control are intricately linked. By illustrating how parallel processing underlies flexible motor strategies, this research contributes to a deeper understanding of the mechanisms that allow humans to adapt to changing environments and make split-second decisions during complex movements. Furthermore, these insights offer new directions for future research on decision-making models that integrate cognitive processing and motor execution in real-world dynamic contexts, refining our theoretical understanding of human adaptability. [ABSTRACT FROM AUTHOR]

This study aims to empirically investigate the concept of information systems' (IS) effectiveness and its relationship with organisational performance in Small and Medium-Sized Enterprises (SMEs). Based on a literature review, the study identifies three dimensions of IS effectiveness: technological context (system quality and information quality), organisational context (users' IS knowledge, users' IS involvement, and top management's IS support), and environmental context (external expertise). Data were collected from 496 SMEs and analysed using structural equation modelling (SEM) with Smart- PLS 4.The results indicate that system quality, top management support, and external expertise significantly influence organisational performance. Specifically, management involvement (β=0.098, p<0.05), system quality (β=0.316, p<0.05), and external expertise (β=0.391, p<0.05) are positively associated with performance, explaining approximately 60% of its variance (R2=0.594). These findings underscore the importance of enhancing IS quality and leveraging external expertise for Congolese Small and Medium Enterprises to improve their performance through effective information system utilisation. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Science & Technology (JOCSTEC) is the property of PT. Padang Tekno Corp and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to solve the issues of low efficiency of information acquisition, high cost of information management and low level of information service in the work of land acquisition and resettlement for hydraulic engineering works construction, based on the "internet + cloud architecture" system, supported by WebGIS technology and database management system (DBMS), and adopting object-oriented Java EE development platform, AOP and other software development technologies, a set of life cycle information system for resettlement of hydraulic engineering projects was developed. This system provided comprehensive data services such as dynamic collection, processing, storage, analysis, management, decision support, display and information release for various stakeholders including resettlement management agencies, project owners, design units and resettlement communities, meeting the business needs of the entire lifecycle of resettlement project of hydraulic engineering works. The system had been practically applied in projects such as the Heishanxia Hydro-Junction Project on the Yellow River and Guxian water conservancy Project, significantly improving the level of data management and utilization efficiency in resettlement work, and achieving good economic and social benefits. [ABSTRACT FROM AUTHOR]

Digital technologies are promising tools for sustainable agriculture; however, the cutting-edge digital solutions in agriculture are impractical for smallholder farmers in developing countries. Smallholder farmers need access to credit and insurance services, quality farm inputs, advisory services, subsidies, and market services to be able participate in sustainable agriculture. This paper is part of an extensive study conducted using the design science research (DSR) methodology. As part of our previous research, we conducted a thorough survey of the various stakeholders in Tanzania to assess their needs. Thereafter, we designed a conceptual digital framework called Farmers' Digital Information System (FDIS), which provides all the necessary services to smallholder farmers and other stakeholders and addresses the identified needs. This paper presents a technical implementation of FDIS that aims to deliver essential services to smallholder farmers for sustainable agriculture within a comprehensive single mobile application. We used Android Studio Iguana and a Flutter framework to develop four service modules that include farmer and farm data, advisory services, and financial and marketing services as part of the FDIS platform. The system reflects the services offered in a real-world environment, as farmers can directly request advice from experts, apply for credit services from financial institutions, and market farm products to meet potential customers. It solves problems of access to farm advisory services and credit services for farm investment and helps farmers to find reliable markets for their products without going through intermediaries (middlemen). The completion of the FDIS development presented here will be followed by a test of the platform with real users for evaluation and improvement. Future research will focus on the scalability of FDIS for different regions, the embedding of more advanced technologies, and the adaptability of FDIS to different agricultural ecosystems. The FDIS solution has the potential to improve sustainable farming and empower smallholder farmers in Tanzania and beyond. [ABSTRACT FROM AUTHOR]

Libraries in mainland China employ bibliometric measurements to offer citation index services, supporting peer review during academic evaluations. Influenced by environmental factors and policies, scholars recognize the significance of diverse, localized, and representative research outcomes. This awareness extends to academic impact, societal impacts, and outcome transformation. Citation index services face evolving evaluation policies, increased business demands, and a comprehensive range of academic performances. This paper examines the theoretical foundations of library and information science that underlie citation index services. We established a theoretical infrastructure while seeking theoretical guidance for practical implementation to identify gaps between theory and practice, and leverage information systems to address practical work challenges and dilemmas. The study outlined nine theoretical foundations in library and information science. We analyzed their relationship with citation index services, addressed seven practical challenges, and proposed applications for system design. Additionally, we identify directions for service development based on policy and environmental factors, standardize terminology, and suggest principles for depicting research impact. These efforts aim to establish a unified, professional citation index service to enhance scholarly communication effectively. [ABSTRACT FROM AUTHOR]

The Kyrgyz Republic is a high mountainous country with a high risk of development of debris and mudflows, landslide and other natural hazards. One of such hazards is outbursts of high-mountain lakes (GLOF), which occur much less frequently than debris and mudflows of stormwater genesis and from snowmelt. The hazard of GLOFs in the Kyrgyz Republic is a significant concern due to the region's topography, climate, and the presence of numerous glacier-fed lakes. However, debris flows caused by GLOF are characterized by their catastrophic nature. To monitor and control the development of hazardous lakes, a specialized catalog was created and is used by Ministry of Emergency Situations of KR (MES KR). This catalog is dynamic and requires modern methods and technical solutions for prompt input of information. At present, the catalog of outburst lakes contains 370 lakes, which are assigned different categories of outburst hazard. Most of the outburst lakes are in inaccessible areas, which makes it difficult to survey. During the summer, hiking expeditions with bathymetric measurements are conducted on the most hazardous lakes. To improve the system of monitoring and forecasting of outburst lakes, a tool for monitoring high mountain lakes was created and integrated into the national monitoring system of the MES KR using Google Earth Engine algorithms and scripts, as well as open sources data of meteorological information. The NDWI index calculated from publicly available Sentinel-2 and Landsat-8,9 images and used to detect changes in lake area. The images of all lakes are downloaded in automatic mode, and a shapefile is created for each lake based on the index. Subsequently, all shapefiles are compared with previous measurements, resulting in reports indicating the increase or decrease of areas. Additionally, all meteorological information obtained from satellite data services is also available in the system. This information system will enhance the system of monitoring and forecasting of GLOF. [ABSTRACT FROM AUTHOR]

Copyright of Pacha: Journal of Contemporary Studies of the Global South / Revista de Estudios Contemporáneos del Sur Global is the property of PACHA REVISTA DE ESTUDIOS CONTEMPORANEOS DEL SUR GLOBAL and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Pacha: Journal of Contemporary Studies of the Global South / Revista de Estudios Contemporáneos del Sur Global is the property of PACHA REVISTA DE ESTUDIOS CONTEMPORANEOS DEL SUR GLOBAL and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Fiber Inspection / Zhongguo Xian-Jian is the property of China Fiber Inspection and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: In many urban areas, 80% to 90% of pollutant emissions are generated by road traffic, particularly from heavy vehicles. With the anticipated surge in e-commerce logistics, the need for effective urban mobility control measures has become urgent, focusing on traffic restrictions and efficient enforcement tools. This work introduces Log-ON, a multi-stakeholder information system designed to facilitate the implementation and management of sustainable traffic restrictions. Methods: The proposed system was developed through extensive literature reviews, expert consultations, and feedback from logistics fleet managers. User-centered mock-ups were created for various stakeholders, including the public, regulatory authorities, logistics operators, and enforcement agencies, ensuring that the system effectively addresses a diverse set of needs. Results: By taking into account a wide range of influencing factors, Log-ON functions as a decision-support tool designed to optimize access restrictions for vehicles, particularly heavy vehicles, in urban environments. Conclusions: Log-ON's adoption promises significant improvements in urban mobility by reducing traffic-related pollution and fostering healthier, cleaner cities. However, traffic restrictions could increase delivery costs, potentially disrupting logistics operations. To address this, the development of new business models for last-mile delivery is essential, ensuring that sustainable traffic management strategies align with the economic challenges faced by logistics providers. [ABSTRACT FROM AUTHOR]

This research analyzed the legal nature and penalties of data capital destruction. The descriptive analytical approach was used. Moreover, the findings revealed that the Jordanian legislator stressed the penalties imposed for crimes of data destruction. This is applicable whether in the form of deprivation of liberty or a financial penalty, and whether the crime was a misdemeanor or a felony. Furthermore, the legislator resorted to withholding the discretionary authority of the judiciary in choosing between the two penalties. The recommendations stressed that the legislator reconsider Articles 7 and 6 of the Cybercrime Law so that these articles will limit penalty to the crimes actually committed. The principle of technical referral contained in Article 26 of the Cybercrime Law should also be dispensed with. [ABSTRACT FROM AUTHOR]

This study aims to address this research gap by thoroughly examining the intricate associations between the quality dimensions of web-based collaborative learning systems and student satisfaction toward continued usage of the system. We propose a theoretical model that integrates instructor quality, collaboration quality, and task technology fit into an information system model. Using a cross-sectional research design, data were collected from 575 Chinese university students and evaluated using partial least squares-structural equation modeling. The results showed that the system and service quality of web-based collaborative learning systems significantly influenced student satisfaction, whereas information, collaboration, and instructor quality had no significant impact. The task-technology fit of the web-based collaborative learning systems also influenced student satisfaction with continued usage of the system. Additionally, students' satisfaction with the web-based collaborative learning systems stimulated their continued use of the system. The study also validated the mediating effect of student satisfaction on the relationship between the quality dimensions of the web-based collaborative learning systems and continued usage of the system. The novelty of this study lies in the integration of three distinct variables—collaboration quality, instructor quality, and task-technology fit—into an established information system model. The findings of this study can aid policymakers and practitioners in higher education in planning, assessing, and implementing web-based collaborative learning systems to acquire more comprehensive insight into student satisfaction with the sustained use of web-based collaborative learning systems. [ABSTRACT FROM AUTHOR]

In 2023, the Nobel Prize in Chemistry was awarded to Bawendi, Brus, and Ekimov, three scientists who have made great contributions to the discovery and synthesis of quantum dots (QDs), heralding a new era for these nanomaterials. The inception of QDs dates back more than 40 years, during which the theory of QDs has been continuously refined, the manufacturing techniques have significantly flourished, and the applications have largely expanded. Recently, QDs have become important optical devices, playing key roles in numerous fields such as display, energy, and biomedical applications. To celebrate the outstanding achievements of QDs over the years, we dedicate this paper to QDs. In the information field, QDs have been extensively utilized to design devices related to domains like transmission and storage, achieving many breakthroughs in performance. This paper proposes a comprehensive set of methodologies and paradigms for designing information systems using QDs. The proposed approach embodies two characteristics of QDs: 1) QDs play a central role in every aspect of the system and possess the capability to construct an all-quantum-dot (All-QD) information system. 2) QDs possess tunability and wavelength flexibility, which can significantly enhance the information density. Finally, we construct a prototype model of an All-QD information system and validate its feasibility through simulation. We believe that with the continued development of quantum dot (QD) technology, the realization of an All-QD information system is on the horizon. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Wildland Fire Science is the property of Journal of Wildland Fire Science Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turkish Journal of Land Management / Türkiye Arazi Yönetimi Dergisi is the property of Mersin University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study aims to empirically investigate the concept of information systems’ (IS) effectiveness and its relationship with organisational performance in Small and Medium-Sized Enterprises (SMEs). Based on a literature review, the study identifies three dimensions of IS effectiveness: technological context (system quality and information quality), organisational context (users’ IS knowledge, users’ IS involvement, and top management’s IS support), and environmental context (external expertise). Data were collected from 496 SMEs and analysed using structural equation modelling (SEM) with SmartPLS 4.The results indicate that system quality, top management support, and external expertise significantly influence organisational performance. Specifically, management involvement (β=0.098, p

Abstract In 2021, 12 fraudulent cases were identified in the Chinese carbon market. As a critical component of this emerging market, China’s carbon-credit scheme in the automotive sector faces several shortcomings, including informational opacity and operational inefficiency, which affect market functionality and fairness. This study develops an information system that integrates blockchain technology and the Internet of Things to manage a carbon-credit scheme. Specifically, we attached carbon credits to each vehicle with radio frequency identification electronic tags and a chained data structure to ensure the traceability and reliability of information flow. We use the distributed ledger technology and establish five distinct types of smart contracts for decentralized operations to ensure that all procedures of the Chinese carbon-credit scheme are standardized and under public scrutiny. The proposed infrastructure has the potential to significantly enhance the transparency and efficiency of China’s carbon-credit schemes.

Village-Owned Enterprises (BUMDes) are village business institutions whose businesses are run by village communities and the village government to improve village welfare. BUMDes was formed as a business institution that can manage various businesses according to the needs and potential of the village. However, BUMDes face challenges in managing their business, such as recording transactions and reports. This research is to design and implement a website-based BUMDes integrated service information system at BUMDes Panggung Lestari. This system design uses a programming language PHP with framework codeigniter and database MySQL. The system development method used is SDLC (System Development Life Cycle) model waterfall. The web-based BUMDes integrated service information system is very effective and efficient used by BUMDes for managing, monitoring and supervising business activities. This system is designed to include features for recording income transactions or business operational costs, as well as providing reports that can be used for analysis and evaluation of operational performance, and providing information services to the public regarding information about BUMDes.

Digitalization in local tourism development is essential as it significantly impacts the growth and sustainability of Tourism Villages. This study aims to develop a website-based Tourism Management Information System to support sustainable tourism development in Tourism Villages in Maluku. The Rapid Application Development (RAD) method was utilized to build the system, consisting of four stages: Requirement Planning, User Design (Iterative: prototype, testing, and refinement), Construction, and Cutover. The iterative process during the User Design stage accelerated system development by continuously incorporating user feedback and needs. System testing employed usability testing during the User Design phase and black-box testing during the Construction phase. The results of this study demonstrate that the developed system successfully fulfills user requirements, enhancing the management and accessibility of Tourism Villages. Key features include tour package selection and an online reservation system, simplifying travel arrangements for visitors. This system significantly impacts tourism development by improving operational efficiency, promoting local attractions, and fostering economic growth in Tourism Villages. Furthermore, the system contributes to the sustainability of tourism by encouraging digital transformation, increasing visitor engagement, and supporting local communities through enhanced tourism services.

Modern society is facing an increasing trend of social isolation, as people increasingly rely on social media for interaction instead of face-to-face communication. This lack of in-person contact often leads to feelings of loneliness and disconnection. This study proposes the concept of a mobile application, CoffeeBreak, designed to counteract these trends by offering users a platform to arrange brief, in-person meetings, such as a quick coffee chat. By encouraging users to meet in real life, the application aims to foster meaningful social connections and combat the sense of isolation prevalent in today’s digital world. The core innovation of CoffeeBreak lies in its unique approach to matchmaking. Instead of presenting users with an overwhelming array of choices, the app offers a single match within a specified timeframe, thus addressing the common issue of decision paralysis that can arise when users are presented with too many options. By simplifying the process, CoffeeBreak allows users to spend less time making selections and more time connecting with others. This approach is inspired by practices adopted within large companies, where employees use bots in work chat groups to find a partner for a short meeting. These interactions help raise awareness about the activities in other departments and foster informal and professional connections. Expanding this practice to a broader societal level, CoffeeBreak is intended to provide individuals with the opportunity to network beyond their immediate professional circles. This research has established a conceptual system model and developed the mathematical frameworks necessary to support this type of meeting arrangement. Specifically, the study has defined the concept of the CoffeeBreak mobile application, outlined the system model with detailed subsystems and environment interactions, and formulated mathematical models to form the basis of the candidate selection algorithm. The model ensures that users are matched in a way that promotes engagement, as each participant can be assured that their matched partner is equally motivated for the encounter. As the application continues to evolve, it can incorporate additional scheduling criteria to enhance the quality of matches and distribution. For example, if a user attends a meeting within the first two days, they could unlock the potential for additional matches by the end of the week. Ultimately, CoffeeBreak aims to broaden users' horizons, help them form new professional and informal connections, and enhance their social skills. This study’s findings lay the groundwork for a new tool that encourages in-person interactions, enabling individuals to expand their social networks in a balanced and purposeful manner.

During the learning process in any field, testing and monitoring the knowledge of students or other learners is an essential part. Teachers often spend considerable time grading large volumes of standardized tests. While online testing systems have been developed to streamline this process, offline paper tests remain popular as they do not require access to computers, electricity, or a stable internet connection. Offline testing is often considered one of the most representative methods for assessment, but it leads to repetitive work for teachers during the grading process. To save time, some educators use test sheets to structure responses, simplifying grading tasks. Consequently, developing a system that automates the grading of offline tests has become increasingly relevant. The purpose of this research was to develop an information system (web platform) that simplifies the offline test grading process using optical character recognition technologies powered by machine learning algorithms. The object of this research is the processes and functionality involved in creating an information system for the automated grading and evaluation of offline tests. The scientific novelty lies in integrating machine learning algorithms with modified image processing algorithms to create a system capable of analyzing and grading a wide range of offline test tasks, including open-ended, closed-ended, sequence identification, and multiple-correct-answer questions. The practical significance of this research is the development of a web platform to automate offline test grading through optical character recognition and machine learning technologies, reducing teachers' time spent on grading, enabling analysis and improvement of educational programs, supporting various test types, and promoting scientific and technological advancement in education. The developed system can recognize handwritten text from photos, create an array of responses, and compare them to the answers provided by the teacher. This approach significantly reduces the time teachers spend on grading tests. For user convenience, a minimalist interface was created, granting access to all main system functions with intuitive controls. A detailed description of the developed algorithms and machine learning models is provided. This project offers broad potential for further development, including integration with other educational platforms, enhancements in recognition technology, and system scalability.

Pretopology and multisets have an essential role in mathematics, especially, in some real-life applications. This paper aims to establish a recombination between multisets and pretopology. In addition, some new types of multi-pretopological structures are constructed and some of their properties are investigated. Multi-pre-open sets and multi-pre-closure operator are investigated. Moreover, for the isotonic multi-pretopological structures, and the multi-pre-minimal closed subsets are introduced and studied. Also, the concept of m-pre-connected structures are established as an application of given results and some types of strongly connected structures are investigated. Finally, the effect of multisets in medical information systems has been studied. [ABSTRACT FROM AUTHOR]

This research is motivated by the registration of candidacy through individual channels which are required to use access through the Candidacy Information System (SILON). However, there are still many obstacles in the system starting from the location of implementation such as in Samosir Regency with network conditions that have not been evenly stable and problems with the system. This research aims to explain how the use of the nomination information system at the stage of registration of candidates through individual channels in Samosir Regency and analyze what are the obstacles in using the system. This research method is descriptive qualitative which presents the facts found comprehensively with data collection techniques through interviews, documentation, and observation. The results showed that the Samosir Regency KPU has implemented a nomination information system in the 2020 Regional Head election for individual candidates in the Samosir Regency by the technical instructions and stages specified. However, the use and workings of the system have not been optimal to support the efficiency and principles of the KPU with frequent system changes and environmental conditions that have not been supportive. In every process of use, it is necessary to evaluate policies in the nomination information system.

Objective Evaluation methods for conventional equipment health grade tend to be one-sided and limited in scope. There is a need to develop an evaluation method tailored to the stringent safety demands of signaling systems. The goal is to control the full lifecycle costs, extend the system longevity, and address the general pain point of financial constraints faced by most urban metro constructions at present. Method Starting with several conventional equipment health grade evaluation methods, a comprehensive evaluation model is constructed. The equipment historical performance is evaluated by annual average repair rate data, the equipment service life is evaluated by comparing the equipment designed theoretical lifespan with actual online service time, and current equipment conditions by field survey of actual working conditions and laboratory sampling test results. By integrating these multi-dimensional data points, a comprehensive evaluation method for signaling system safety equipment is developed. Result & Conclusion The practical application of this evaluation method, supported by data statistics and analysis, produces concrete evaluation conclusions and corresponding maintenance recommendations. This validates the feasibility of the comprehensive equipment health grade evaluation method. At the same time, the application of this method enables an in-depth inspection of signaling systems based on service life prolonging requirements, facilitates the formulation of targeted preventive maintenance measures, and proposes plans for future improvements in digitalization and intelligent technology.

This research aimed 1) to study the information and information system of the museum, 2) to create a system for providing information within the museum via mobile applications, and 3) to assess the satisfaction of the users of information system within the museum via mobile devices by using Beacon technology. First, the data were collected from related documents and interview with experts, and the obtained data were then used for the design of a system and an application called MUCON which is Beacon technology for providing information within the museum. The designed information system and MUCON application were then tested and assessed by visitors at Ja Thawee Folk Museum in Thailand in terms of their satisfaction towards the performance of the information system and mobile application design, including additional comments and feedback by using questionnaire. The results showed that the system for providing information within the museum via mobile applications and MUCON application were successfully designed and created. Moreover, the satisfaction with the performance of the information system and mobile application design was also assessed and proved that they were suitable for use. Limitations of the study are discussed, and recommendations for further research are also made.

Abstract Background Electronic prescribing (e-prescribing) is an essential technology in the modern health system. This technology has made many changes in the prescription process, which have advantages and disadvantages and have created opportunities for transforming the health system. This study aimed to investigate the strengths, weaknesses, opportunities, and threats of the e-prescribing system implemented in Iran from the physician’s viewpoint. Methods This phenomenological qualitative study was conducted in 2022. The participants were 15 Iranian specialist physicians working at Urmia University of Medical Sciences, selected purposively and deliberately. Data was collected through in-depth semi-structured interviews using an interview guide comprising 16 questions. Interviews were conducted until data saturation was reached. The audio data was transcribed into text and analyzed using the thematic analysis. To ensure the validity and reliability of the findings, the criteria introduced by Lincoln and Guba were employed. Results The results of this study showed that the e-prescribing system executed in Iran has diverse and multidimensional strengths, weaknesses, opportunities, and threats. In the strengths section, the analysis of the interviews led to the extraction of semantic units in the categories of prescription process, prescriber, patient, technical, economic, communication, and insurance. Also, the weaknesses in the three categories of the prescriber, patient, and technical were debatable. The opportunities extracted from the narratives of the interviewees were placed in four categories including technical, national macro policies, Ministry of Health macro-policies, and socio-cultural issues. Finally, the discussed threats are classified into two technical and macro policies of the Ministry of Health categories. On the other hand, technical issues played an effective role in all aspects of the SWOT model. Conclusion The e-prescribing system in Iran has strengths, weaknesses, opportunities, and threats. An overarching factor across all aspects of the SWOT model was technical infrastructure. A robust technical infrastructure is considered a strength and an opportunity for the growth of the electronic prescribing system in Iran. Conversely, any shortcomings in these systems are viewed as weaknesses and pose a threat to the system’s sustainability.

To support the "people-centered" chronic disease health management work, Shanghai has developed a community chronic disease health management information system. This system provides an efficient tool for achieving integrated medical care and disease prevention, as well as collaborative management between doctors and patients, through functions such as information registration and management, risk assessment, chronic disease screening, patient evaluation, and categorized follow-up. It delivers comprehensive, precise, and high-quality health management services for various chronic diseases, effectively promoting the implementation of comprehensive chronic disease prevention and control strategies and the transformative development of chronic disease health management services. However, the system currently requires the inclusion of a broader range of chronic diseases and the enhancement of interactive integration between clinic-based doctor follow-ups and home-based self-management. Future improvements may include the integration of additional disease types and the fusion of complex interaction scenarios to continuously adapt to the new situations and challenges in chronic disease prevention and control.

Investing involves allocating funds to achieve optimal returns by evaluating opportunities and managing risks in asset acquisition. Recently, many news reports have highlighted issues in the Indonesian capital market, such as stock investors using online loan funds for trading, which often leads to debt. This research aims to apply the K-Medoids algorithm for stock clustering, enabling investors to select fundamentally sound stocks based on the Price-Earnings Ratio (PER) and Price-Book Value (PBV). The K-Medoids method results show that Cluster 1 includes 93 stocks with moderate PER and PBV values. Cluster 2 comprises 91 stocks with the lowest PER and PBV values. Cluster 3 contains 113 stocks with the highest PER and PBV values. Developing an information system that classifies stocks based on PER and PBV can help investors analyze and make investment decisions more effectively.

Retrieving relevant traffic scene data from existing database is essential in the development of advanced driver-assistance systems but such task is time consuming and computationally expensive. This study proposes a traffic scene retrieval system that utilizes a vision-language model and clustering techniques. The proposed system is capable of executing data retrieval task by inputting an image data or text as a search query. Evaluation results showed that the system was able to retrieve complex scene data (e.g., traffic congestion) from a driving video database under 3 seconds. Overall, the results indicate that the prosed system is feasible for practical applications. [ABSTRACT FROM AUTHOR]

Purbaratu Market is a gathering place for traders and buyers who always have buying and selling transactions every day. This market has a cooperative to monitor everything in the market, but the retail sales transaction process system in the current cooperative is still traditional in the buying and selling of merchandise, therefore, transactions need to be monitored carefully and quickly to find out transactions consisting of various types of goods, so it requires accuracy in recording the type and number of products sold, Based on the description of existing problems, an increase in services in the field of computerization is carried out. That is, this traditional system will be developed into a digital system in the form of a monitoring system for Retail Sales of the Purbaratu market cooperative. This technology is made using PHP and MySQL databases. The purpose of planning this application is to provide convenience in the process of transactions and processing retail sales data in the Purbaratu market cooperative. [ABSTRACT FROM AUTHOR]

This research aims to develop an information system that supports collecting Income Tax (PPh) for employees in a tax consulting company. This research analyzes the suitability of the tax collection procedures applied by the company and the applicable tax provisions. The method used in this research is descriptive analysis based on data obtained through interviews, observations, and literature review. The results show that the principle of income tax collection in tax consulting companies is in line with the general tax withholding method, with estimated net income as the basis for calculation. The tax rate variations applied include the provisions in Article 17 of the Income Tax Law and related government regulations. The information system developed aims to improve efficiency and accuracy in the reporting of Income Tax Return 21 and support better tax compliance. [ABSTRACT FROM AUTHOR]

The paper presents the creation of a database of motion norms to support the maintenance management system in an industrial production company, implemented by a team from the Faculty of Mechanical Engineering, VSB - Technical University of Ostrava. This database is intended for filling and optimal use of maintenance modules of ERP systems and for use in the processes of preparation of maintenance and service orders. The article focuses on the methodology of creation, characteristics, use and availability of this database and its application in industrial practice. [ABSTRACT FROM AUTHOR]

Human rights groups of all sizes and specializations gather evidence of human rights violations. Those with sufficient resources commonly use dedicated databases to manage the intricate web of sources, events, and analyses that build a strong case. However, developing databases for the needs of each organization remains a challenge. Effective database design requires a data model, which functions as a blueprint for how the data is structured and related. A most basic example of what a data model can specify is that a human rights violation is committed by at least one perpetrator, and that the perpetrator's attributes, such as name or date of birth, should be recorded. A data model that is shared and generic reduces the need to reinvent the wheel since its design can be reused for several databases. In the information systems field, such shared models are called ontologies. Despite the critical nature of the matter, no ontology for human rights violations documentation exists. The present note, therefore, will present the design of the first ontology of this kind. It was developed in association with the human rights group HURIDOCS, which specializes in information management. The requirements elicitation included unstructured interviews with HURIDOCS, document analysis of human rights manuals, and a survey with practitioners. The resulting ontology, named OntoRights, is freely available online with an open license. The evaluation of OntoRights suggests that OntoRights could be highly useful for case databases. [ABSTRACT FROM AUTHOR]