Implementation Of Platform Research Articles

A novel approach for risk assessment optimization in big data platforms using SMT solvers

Big Data platforms store vast amounts of information, necessitating robust security measures, including risk-based approaches. Risk assessment, a key part of Information Security Management Systems (ISMS), involves evaluating threats, vulnerabilities, and documenting risks through risk registers. Organizations face the challenge of allocating resources effectively to implement controls that mitigate these risks. This involves calculating risk scores before and after control implementation and prioritizing them—an NP-Complete (Nondeterministic Polynomial-time Complete) problem. This paper presents a mathematical model for solving this using the Z3 Satisfiability Modulo Theories (SMT) solver. The model enables risk-based planning for security implementation in big data platforms. The results demonstrate the feasibility of the approach, with the system processing up to 11 risks (almost 40 million permutations) efficiently, compared to brute force methods, which struggle beyond six risks (720 permutations).

Digital Transformation in Civil Service Management: Implementing the SmartASN Platform

Digital transformation is a critical need for modern governments to address the growing demands for fast, transparent, and efficient public services. This study examines the implementation of the SmartASN platform in driving the digital transformation of State Civil Apparatus (ASN) management. Employing a qualitative research approach with a narrative review methodology, the study systematically reviews and synthesizes secondary data collected from 2016 to 2022 on the digital transformation of ASN management. The Agile Governance theory guides the analysis. It focuses on three key aspects: 1) SmartASN Platform Governance, 2) Systematic and Adaptive Approaches in ASN Management, and 3) ASN Management in the Digital Age. The findings demonstrate that the SmartASN platform is instrumental in advancing ASN’s digital transformation, supporting Indonesia’s broader goals of creating a world-class bureaucracy. This is evidenced by Indonesia’s significant improvement in the E-Government Development Index (EGDI), which rose from 116 in 2016 to 77 in 2022. The study contributes to the academic understanding of digital governance by providing actionable recommendations to optimize the SmartASN platform and develop policies that support agile digital transformation. These insights highlight the potential of digital platforms in fostering innovation and enhancing adaptability in the public sector.

System Center Virtual Machine Manager 2022: Enhanced Cloud Integration and Management Capabilities

System Center Virtual Machine Manager (SCVMM) 2022 represents a transformative advancement in private cloud management, offering enhanced capabilities across virtualization, deployment, and cloud integration domains. This comprehensive platform introduces sophisticated hardware-level security protocols, dynamic resource allocation mechanisms, and intelligent orchestration capabilities that significantly improve operational efficiency. The integration with Azure Arc and support for Azure Kubernetes Service demonstrates SCVMM's evolution in hybrid cloud management, while enhanced data protection solutions ensure robust security and recovery capabilities. The platform's implementation of energy-aware management protocols and low-carbon operational methodologies showcases Microsoft's commitment to environmental sustainability without compromising performance. Through advanced predictive analytics, automated workflow management, and streamlined deployment architectures, SCVMM 2022 addresses the growing demands of modern enterprise environments. This article examines the platform's core enhancements, deployment methodologies, cloud integration capabilities, and impact on enterprise operations while providing implementation best practices derived from extensive research and real-world deployments.

Simulating topological quantum gates in two-dimensional magnet-superconductor hybrid structures

The creation of topological quantum gates using Majorana zero modes—an outstanding problem in the field of topological quantum computing—relies on our ability to control the braiding process in time and space. Here, we propose two-dimensional magnet-superconductor hybrid structures as a new platform for the successful implementation of topologically protected σz-, σz- and σx-quantum gates using Majorana zero modes. Employing a novel theoretical formalism to compute the full time-dependent many-body wave-function and utilizing a braiding protocol motivated by recent advances in electron-spin-resonance techniques we simulate quantum gates in 2D systems up to 600 sites, on timescales from a few femto- to nanoseconds. We demonstrate that the braiding process can be visualized in time and space by computing the non-equilibrium local density of states, which is proportional to the time-dependent differential conductance measured in scanning tunneling spectroscopy experiments, allowing us to directly image Majorana world lines.

Enhanced Agricultural Financial Services through Cloud Computing: A New Paradigm of Security and Efficiency

The agricultural sector has long faced significant challenges in accessing efficient and secure financial services, hindering its growth and sustainability. This study investigates the transformative potential of cloud computing in enhancing agricultural financial services, with a particular focus on improving security and operational efficiency. Through a comprehensive literature review and the development of a multi-dimensional security framework, the research explores the integration of cloud technologies in agricultural finance. The framework addresses physical, network, application, and data security aspects, tailored to the unique challenges of rural environments. A detailed case study of AgriBank’s implementation of a cloud-based agricultural financial services platform provides empirical evidence of the benefits and challenges associated with this technological shift. The results demonstrate substantial improvements in key performance indicators, including a significant reduction in loan processing time, enhanced credit risk assessment accuracy, and a notable increase in the agricultural loan portfolio. The study also highlights the importance of addressing rural-specific issues such as intermittent connectivity and varying levels of digital literacy. The findings contribute to the growing body of knowledge on financial technology applications in agriculture and offer valuable insights for policymakers and financial institutions seeking to leverage cloud technology to enhance their agricultural finance capabilities. This research underscores the potential of cloud computing to foster greater financial inclusion, promote sustainable agricultural development, and ultimately contribute to global food security.

Minimizing downtime in E-Commerce platforms through containerization and orchestration

Minimizing downtime in e-commerce platforms is critical for maintaining financial stability and customer satisfaction. This paper explores the impact of containerization and orchestration technologies in achieving this goal. We begin by highlighting the detrimental effects of downtime and the importance of reliable e-commerce services. The role of containerization in providing consistency, isolation, and scalability is examined, along with its implementation in e-commerce platforms. We then delve into orchestration tools such as Kubernetes and Docker Swarm, discussing their benefits in automating container management and enhancing system stability. Strategies for integrating these technologies into existing infrastructures are outlined, addressing potential challenges and proposing solutions. Best practices for seamless integration, including continuous monitoring, robust security measures, and regular updates, are also presented. Finally, the paper concludes with actionable recommendations for e-commerce businesses aiming to reduce downtime and improve platform reliability through containerization and orchestration. Future directions for research and technological advancements in this field are suggested to enhance the efficacy of these solutions further.

Implementation and Evaluation of a Low-Cost Measurement Platform over LoRa and Applicability for Soil Monitoring

Implementation and Evaluation of a Low-Cost Measurement Platform over LoRa and Applicability for Soil Monitoring

The Design and Implementation of an Intelligent Carbon Data Management Platform for Digital Twin Industrial Parks

In the face of increasing environmental challenges, carbon emissions from industrial parks have become a global focal point, particularly as electricity consumption serves as a major source of carbon emissions that requires effective management. Despite proactive efforts by governments and industry stakeholders to transition industrial parks toward cleaner production methods, traditional energy management systems exhibit significant limitations in data collection, real-time monitoring, and intelligent analysis, making it difficult to meet the urgent demands for carbon reduction. To address these challenges, this study proposes a carbon data management approach for industrial parks based on digital twin technology and develops an intelligent system that integrates monitoring, environmental surveillance, energy management, and carbon emission monitoring. The system supports efficient energy-saving and carbon-reducing decision making by real-time collection of energy consumption data. By incorporating Building Information Modeling (BIM) and Internet of Things (IoT) technologies, the system facilitates the integration and visualization of multi-source data, significantly enhancing the transparency of carbon data. The results of the carbon reduction validation system demonstrate that the application of this platform and its associated facilities can significantly reduce carbon emissions in the park, providing robust support for the transition of industrial parks toward low-carbon and sustainable development.

Development of a Web Platform to Facilitate the Implementation and Evaluation of Health Promoting Schools: Protocol for a Double Diamond Design Approach.

Health Promoting Schools (HPS) have emerged as a powerful framework to promote healthy behaviors in many countries. However, HPS still present several challenges, highlighting the excessive workload involved in the accreditation, design, implementation, and evaluation processes. In this sense, a resource to facilitate the implementation processes may have a positive impact on the support of HPS. The aim of this study was to describe the co-design processes undertaken and resulting learnings to develop the Red Escuelas Promotoras de Salud (network of health promoting schools; REDEPS)-Gestion platform to facilitate the accreditation, design, implementation procedures, and evaluation processes of the Aragon's Health-Promoting School Network. The Double Diamond Design Approach was used to co-design this web-platform. The different stakeholders that participated in this co-design, progressed through a 4-stage reflective phase, to discover, define, develop, and deliver the REDEPS-Gestion platform. Participants agreed that the functions of the REDEPS-Gestion platform should permit the management of both the educational centers and the administration such as accreditation processes, definition and review intervention projects, and preparation and review of the different progress reports to evaluate the HPS. Despite co-design being a well-established approach to creative practice, especially within the public sector, some challenges emerged during the co-design process, such as engaging and facilitating stakeholders' participation or the complexity of combining the interests of all stakeholders. This approach allowed us to identify the main barriers for future users and implement platform improvements. We hope that the REDEPS-Gestion platform will therefore be able to contribute to facilitating the implementation of HPS. The Double Diamond Design Approach used to co-design this web platform was an efficient and feasible methodological design approach. The REDEPS-Gestion platform will facilitate HPS implementation in Aragon as well as all the processes involving HPS. Future work will determine its effectiveness in improving HPS implementation. DERR1-10.2196/52110.

Research on the Construction Technology of Intelligent Platform for Wastewater Treatment in Industrial Parks

With the rapid development of industrial parks, the problem of sewage and wastewater treatment is becoming increasingly prominent. This article focuses on the characteristics and needs of wastewater treatment in industrial parks, and conducts in-depth research on the construction technology of intelligent platforms for wastewater treatment. By analyzing the limitations of traditional wastewater treatment methods, the key technologies and construction elements of intelligent platforms are elaborated. Detailed introduction of the data architecture design, functional implementation, and application effects of the intelligent platform in practical cases. Finally, the future development direction of intelligent platform construction was discussed, providing new ideas and methods for the treatment of wastewater in industrial parks.

A Diachronic Agent-Based Framework to Model MaaS Programs

In recent years, mobility as a service (MaaS) has been thought as one of the opportunities for shifting towards shared travel solutions with respect to private transport modes, particularly owned cars. Although many MaaS aspects have been explored in the literature, there are still issues, such as platform implementations, travel solution generation, and the user’s role for making an effective system, that require more research. This paper extends and improves a previous study carried out by the authors by providing more details and experiments. The paper proposes a diachronic network model for representing travel services available in a given MaaS platform by using an agent-based approach to simulate the interactions between travel operators and travelers. Particularly, the diachronic network model allows the consideration of both the spatial and temporal features of the available transport services, while the agent-based framework allows the representation of how shared services might be used and which effects, in terms of modal split, could be expected. The final aim is to provide insights for setting the architecture of an agent-based MaaS platform where transport operators would share their data for providing seamless travel opportunities to travelers. The results obtained for a simulated test case are promising. Particularly, there are interesting findings concerning the traffic congestion boundary values that would move users towards shared travel solutions.

Cold Start Latency in Serverless Computing: A Systematic Review, Taxonomy, and Future Directions

Recently, academics and the corporate sector have paid attention to serverless computing, which enables dynamic scalability and an economic model. In serverless computing, users only pay for the time they actually use resources, enabling zero scaling to optimise cost and resource utilisation. However, this approach also introduces the serverless cold start problem. Researchers have developed various solutions to address the cold start problem, yet it remains an unresolved research area. In this article, we propose a systematic literature review on cold start latency in serverless computing. Furthermore, we create a detailed taxonomy of approaches to cold start latency, which we use to investigate existing techniques for reducing the cold start time and frequency. We have classified the current studies on cold start latency into several categories such as caching and application-level optimisation-based solutions, as well as Artificial Intelligence/Machine Learning-based solutions. Moreover, we have analyzed the impact of cold start latency on quality of service, explored current cold start latency mitigation methods, datasets, and implementation platforms, and classified them into categories based on their common characteristics and features. Finally, we outline the open challenges and highlight the possible future directions.

Reciprocal Teaching in tech with struggling university readers

Reading comprehension is a skill that is crucial in everyday life, as it allows people to read critically and understand the various texts they encounter. Reading comprehension is not a skill that is actively taught or improved upon in most Western countries, despite its relative importance to everyday life. As a result, university readers struggle with comprehension skills, which can impact their employment prospects. The present study explores the initial implementation of a potential solution to this issue. This study will focus on Phase 1 of a larger project and will implement a qualitative methodology of reflexive journaling to reflect on the initial curriculum design, pedagogical practice, and technological challenges and evaluate the construction and implementation of an online learning platform designed to assist students in improving reading comprehension.

CAR-Machine: CAR-T Cell Target Identification Platform for Pediatric Acute Leukemia and Implementation to Identify Novel Targets for Pediatric AML

CAR-Machine: CAR-T Cell Target Identification Platform for Pediatric Acute Leukemia and Implementation to Identify Novel Targets for Pediatric AML

Dynamical analysis and hardware verification of a new multistable memristive hyperchaotic map

In this paper, a three-dimensional (3D) memristive hyperchaotic map is designed by coupling discrete memristor (DM). Structurally, the map features the existence of infinite fixed points. Based on the differential setting of parameters for various initial values, it can produce an infinite number of heterogeneous coexisting attractors or homogeneous coexisting attractors. Simultaneously, it can realize the attractors symmetric control. The numerical analysis and simulation results highlight its rich dynamical behaviors and excellent performance. A digital hardware platform based on a microcontroller is designed, clearly demonstrating the efficacy of the design through distinct visualization of attractors on an oscilloscope, providing tangible evidence of the successful hardware platform implementation.

APOI@ INDIGENOUS EDUCATION: DIGITAL PLATFORM FOR SHARING OPEN EDUCATIONAL RESOURCES

The research addressed the development of a differentiated school education for indigenous communities in Brazil, with an emphasis on a pedagogy that values ​​and preserves their cultural heritage. The study highlighted the need for educational resources adapted to indigenous cultural specificities, especially bilingual teaching materials, in accordance with the guidelines of the 1988 Federal Constitution and the 1996 Law of Guidelines and Bases of National Education. The objective of the research was to create a digital platform for sharing Open Educational Resources (OER), including bilingual teaching materials and reports of pedagogical experiences specific to the Guarani language and culture. Using Maker Culture as a methodology, teachers from the Nhu Porã School, in Torres, RS, participated in workshops to develop these resources. The research was qualitative, with the researcher carrying out intensive fieldwork. Bibliographic research and action research procedures were used, promoting cooperation between the researcher and the community to solve the identified problem. The results indicated the importance of indigenous protagonism, community participation, and cooperation between different social actors in solving the shortage of bilingual teaching materials. The construction of OER by indigenous participants, the implementation of the digital platform, and the sharing of bilingual materials and pedagogical reports achieved the research objectives. The results highlight the importance of the active participation of indigenous people in the creation of culturally relevant educational resources, expanding access to bilingual materials, and promoting a culture of collaboration and sharing in the context of indigenous education. The digital platform expanded access to indigenous bilingual educational resources, contributing to the preservation of cultural identity and the promotion of educational inclusion.

Intraband Exciton Dynamics of n-Doped Silver Selenide Quantum Dots.

AgxSe (x > 2) colloidal quantum dots (CQDs) have recently emerged as a promising environmentally friendly material contender for mid- and long-wave infrared optoelectronics, leveraging their intraband transition (1Se-1Pe). However, multicarrier interactions in CQDs, particularly Auger recombination, have profound implications on the optoelectronic properties of the materials and their potential in device applications. Understanding the intraband excited-state dynamics in n-doped AgxSe is therefore essential for the assessment and successful implementation of this material platform in devices. We, herein, investigate the carrier dynamics of AgxSe in both solution and thin-film states using a femtosecond mid-infrared transient absorption spectrometer. Our observations reveal that the multicarrier Auger process depends on the degree of doping in AgxSe CQDs and accelerates when the Fermi energy (EF) level approaches the 1Pe state. The calculated intraband Auger coefficients (CA) are measured to be on the order of ∼10-28 cm6 s-1, significantly larger compared to analogous n-doped HgS/Se CQDs.

Attitudes of EFL Learners to the Implementation of the Area9 Lyceum Online Platform Based on the UTAUT Model

The advancement of technology has led to the creation of numerous platforms that could potentially be used for remote education. For example, the recent development of the English Diploma Programme at a top university in the Kingdom of Saudi Arabia (KSA) deploys a new platform known as Area9 Lyceum (Area9). Because the English Diploma Programme is a recent development, and especially given its use of a new platform, this proposed research will investigate learners’ attitudes to and acceptance of using the platform. Furthermore, it will look at how other universities could benefit from this experience to develop their own English as a Foreign Language (EFL) programmes along technological lines, specifically by deploying a survey tool based on the unified theory of acceptance and use of technology (UTAUT). The results reflect the positive attitude of the participants. Recommendations can be drawn from this study to help persuade stakeholders in higher education to adopt such platforms in the teaching of EFL or English as a Second Language (ESL).

Using the IFASIS (Inventory of Factors Affecting Successful Implementation and Sustainment) to Advance Context-Specific and Generalizable Knowledge of Implementation Determinants: Case Study of a Digital Contingency Management Platform.

Contingency management (CM) is the most effective treatment for stimulant use disorder but is underutilized by opioid treatment programs (OTPs), despite the high prevalence of stimulant use in this setting. As part of a state-wide initiative, we piloted a novel assessment, the Inventory of Factors Affecting Successful Implementation and Sustainment (IFASIS), to examine determinants of implementation of a digital CM platform across a set of OTPs. We describe how the IFASIS was used to elucidate both generalizable and context-specific implementation determinants, and to guide the provision of implementation facilitation. Six OTPs received a multi-level implementation strategy (including facilitation) to promote programmatic uptake of a digital CM platform. Pre-implementation, OTPs completed the IFASIS, a 27-item questionnaire that assesses both the valence (positive/negative) and importance of determinants across 4 domains: outside the organization, within the organization, about the intervention, and about intervention recipients. OTP staff completed the IFASIS as a team, identifying consensus ratings during recorded discussions. Transcripts of IFASIS recordings were analyzed using rapid qualitative analysis. Quantitative IFASIS results were aggregated into medians and ranges within and across organizations. Implementation facilitation meeting notes were analyzed to examine how the IFASIS was used to guide facilitation. Quantitative ratings and qualitative feedback revealed common barriers to implementation of the digital CM platform, including a lack of sustainable funding sources, absence of external and organizational policies, insufficient higher-level leadership support, and mixed attitudes among staff members toward CM. Common implementation facilitators included enthusiasm and commitment among organization leadership and the perception that the digital CM platform would reduce the workload and burden on OTP counselors. The IFASIS was used to guide facilitation in several ways, including stimulating discussion about barriers and facilitators, brainstorming strategies to address barriers rated as "very important", and identifying facilitators that could be harnessed as part of implementation efforts. The IFASIS identified important determinants of CM implementation in OTPs and was instrumental in shaping facilitation. The IFASIS may be a valuable assessment for the implementation science community to identify and address generalizable and context-specific implementation determinants.

Design and implementation of the dual-center programming platform for ternary optical computer and electronic computer

In order to utilize the advantages of optical computing and promote the application and popularization of Ternary Optical Computer (TOC), this paper proposes a dual-center programming model consisting of electronic processor and optical processor, presents the theory and technologies of the dual-center model in detail, and for the first time explains the SAN ZHI GUANG (SZG) file chain technology, gives the implementation method of the dual-center model. The model tries to effectively manage the resources of optical processor and solve the problem of the distance and network connection mode of using the TOC. Experimental results show that the dual-center model is correct and the implementation method is feasible. It can improve the usability of the TOC and further simplify the TOC programming process, and makes common users apply the TOC and electronic computer to work cooperatively for the same task.