Customizable Dashboard Research Articles

GELO and GreX: A framework and dashboard to investigate technology competency and culture

Participation in 4th Industrial Revolution society is increasingly dependent upon competencies related to the use of digital technologies for a wide variety of purposes. A person’s competence in the use of digital technologies has implications for a wide variety of contexts and situations, including learning in physical as well as virtual spaces, career choices and employability, digital citizenship, cultural orientations and values, and even democracy (Erstad, 2010). This workshop will provide an overview of the Global Educational Learning Observatory (GELO) project and invite participants to experience a variety of self-assessment tools accessed through the customizable dashboard, the Global Readiness Explorer (GREx). The GELO project attempts to provide a framework for an international network of institutions utilizing data-driven evidence to inform evolving best practices for online and mobile learning. To achieve this, the project (i) assembles a nucleus of formal educational institutions, (ii) constructs the necessary tools to extend research on formal learning models, and (iii) reaches into the workplace as well as other more public spaces to integrate with informal learning settings. The primary source of data derives from a customizable dashboard, the Global Readiness Explorer (GREx), and the tools that can be implemented within it. These tools are designed to give individuals, organizations, and institutions the means to construct complex profiles that can be used to identify gaps in competency attainment and development. Through small group activities, participants will examine and discuss the various tool suites in the GREx including the digital learning competency profiler (DCP); the fully online learning community survey instrument (FOLCS); the Personal Cultural Orientation Scale (PCOS) and others. In this workshop, participants will choose a self-assessment instrument to participate in and then discuss their experience with a focus on improving the GREx tool suite for global use. In addition, participants will examine the GREx for use with their students as a component of determining readiness for moving into fully online learning environments. The workshop will conclude with an explanation of the global educational learning observatory (GELO), and participants will be invited to join this global research network.

College Management System using Python & Django

The College Management System (CMS) is an advanced web-based application designed to streamline administrative and academic processes within educational institutions. Developed using the Django framework for backend functionalities and HTML, CSS, and JavaScript for frontend presentation, the CMS offers a comprehensive solution for managing various tasks efficiently. Leveraging SQLite as the databadminisratiase management system ensures robust data management capabilities, scalability, and ease of maintenance. The CMS provides a wide array of features to automate routine tasks and enhance collaboration among students, faculty, and administrators. Student admission and enrollment management, course scheduling, curriculum planning, and faculty assignment are seamlessly handled by the system, reducing manual workload and minimizing errors. Integrated messaging systems and announcement boards facilitate communication, fostering a collaborative learning environment. The examination management module automates the entire examination process, including exam scheduling, creation of question papers, venue allocation, and result processing. Online exam registration and automated grading streamline the process, ensuring accuracy and transparency while reducing administrative burden. Attendance tracking is simplified with the CMS, allowing faculty to record and monitor student attendance easily. Integration with biometric systems or RFID technology enhances accuracy and eliminates manual attendance taking. Comprehensive attendance reports provide insights into student progress and compliance with attendance policies. Resource management is optimized through the CMS, which enables efficient allocation and utilization of classrooms, laboratories, library resources, and equipment. Administrators can manage inventory, track asset availability, and schedule resource bookings to prevent conflicts and ensure optimal utilization. Reporting and analytics features empower administrators with real-time insights into various aspects of college operations. Customizable dashboards provide information on enrollment statistics, academic performance, financial data, and more, enabling informed decision-making and continuous improvement. In conclusion, the College Management System developed with Django, HTML/CSS/JS, and SQLite revolutionizes educational institution management. By combining advanced technology with intuitive design, the CMS enhances efficiency, transparency, and collaboration, ultimately contributing to the success and growth of the institution.

Enhanced Visibility for Real-time Monitoring and Alerting in Kubernetes by Integrating Prometheus,Prometheus, Grafana, Loki, and Alerta

With the increasing popularity of Kubernetes as the go-to platform for containerized applications, numerous companies are adopting Kubernetes as their preferred platform for containerized applications. As organizations embrace this container orchestration technology for its scalability, flexibility, and portability benefits, the need for robust monitoring solutions becomes paramount. Monitoring Kubernetes environments is essential to ensure the health, performance, and availability of applications running within the cluster. This paper aims to provide a comprehensive approach for monitoring Kubernetes via Prometheus, Grafana, and Alerta Prometheus, a powerful open-source monitoring system, col- lects metrics from Kubernetes pods and nodes, enabling real- time monitoring of resource utilization, performance metrics, and application health. Grafana complements Prometheus by providing intuitive visualization of collected metrics through customizable dashboards, facilitating comprehensive insights into cluster performance and trends. Loki and Promtail by Grafana are used to collect and aggregate the logs associated with the cluster. Alerta enhances the monitoring setup by enabling alerting based on predefined thresholds and conditions, ensuring prompt notification of potential issues or anomalies. Together, this stack empowers administrators to gain deep visibility into their Kubernetes infrastructure, proactively identify and mitigate issues, and maintain the high availability and reliability of their applications and services. Index Terms—Kubernetes, Prometheus, Grafana, Alerta, Loki, Promtail, Monitoring, Alerting, Logging.

Smart Water Pollution Management: IoT for Automatic Detection and Prevention

Water quality monitoring is vital for public health and environmental sustainability, but traditional methods face challenges such as high costs, lack of portability, and limited real-time data access. This paper presents a solution using Arduino-based sensors integrated with IoT technology to enhance water quality monitoring. The system employs various sensors to measure parameters like Total Dissolved Solids (TDS), turbidity, water transparency, methane gas, and alcohol gas. Data from these sensors is transmitted to a NodeMCU microcontroller and uploaded to the Blynk cloud platform, allowing real-time monitoring and remote access via customizable dashboards. The proposed system is cost-effective, portable, and provides immediate data access, addressing the limitations of traditional methods. It enables timely detection of water quality issues, facilitating prompt responses to health and environmental threats. This innovative approach significantly advances water quality monitoring by leveraging IoT technologies to improve environmental management practices

An Open-Source Supervisory Control and Data Acquisition Architecture for Photovoltaic System Monitoring Using ESP32, Banana Pi M4, and Node-RED

To overcome the issues of the existing properties and the non-configurable supervisory control and data acquisition (SCADA) architecture, this paper proposes an IoT-centered open-source SCADA system for monitoring photovoltaic (PV) systems. The system consists of three voltage sensors and three current sensors for data accumulation from the PV panel, the battery, and the load. As a part of the system design, a relay is used that controls the load remotely. An ESP32-E microcontroller transmits the collected data to a Banana Pi M4 Berry (BPI-M4 Berry) through the Message Queuing Telemetry Transport (MQTT) protocol over a privately established communication channel using Wi-Fi. The ESP32-E is configured as the MQTT publisher and the BPI-M4 Berry serves as the MQTT broker. Locally installed on the BPI-M4 Berry, the Node-RED platform creates highly customizable dashboards as human–machine interfaces (HMIs) to achieve real-time monitoring of the PV system. The proposed system was successfully tested to collect the PV system voltage/current/power data and to control the load in a supervisory way under a laboratory setup. The complete SCADA architecture details and test results for the PV system data during the total eclipse on 8 April 2024 and another day are presented in this paper.

Advancing financial transparency and ethical governance: innovative cost management and accountability in higher education and industry

Advancing financial transparency and ethical governance in higher education and industry is imperative for fostering trust, accountability, and sustainability. This review explores innovative cost management strategies and accountability measures to achieve these goals. In both higher education and industry, financial transparency ensures stakeholders have access to accurate, timely, and comprehensible financial information. This transparency is crucial for building trust among investors, donors, regulators, and the public. Moreover, it facilitates informed decision-making and enhances organizational efficiency. One innovative approach to advancing financial transparency is the adoption of cloud-based financial management systems. These systems offer real-time data accessibility, automated reporting, and customizable dashboards, enabling institutions to track expenditures, revenue streams, and budget variances more effectively. Additionally, blockchain technology holds promise in ensuring the integrity and immutability of financial records, reducing the risk of fraud and corruption. Ethical governance goes hand in hand with financial transparency, emphasizing integrity, honesty, and accountability in organizational practices. Robust governance frameworks establish clear lines of responsibility, codes of conduct, and mechanisms for oversight. In higher education, this involves empowering governing boards with diverse expertise and ensuring academic and financial decisions align with institutional missions. To enhance ethical governance, institutions can implement whistleblower protection programs and conduct regular ethics training for employees. These initiatives promote a culture of transparency and integrity, encouraging individuals to report unethical behavior without fear of retaliation. Cost management plays a pivotal role in financial sustainability and ethical governance. Traditional cost-cutting measures often focus on reducing expenses without considering long-term implications. Innovative cost management, however, emphasizes efficiency, value creation, and sustainability. Activity-based costing is one such approach that allocates costs based on the activities that drive them, providing a more accurate understanding of resource consumption. This enables institutions to make informed decisions about resource allocation and pricing strategies. Furthermore, strategic sourcing and vendor management help optimize procurement processes, negotiate favorable contracts, and mitigate risks associated with third-party relationships. Collaborative partnerships with industry stakeholders can also facilitate knowledge sharing, resource pooling, and cost-saving opportunities. Accountability mechanisms are essential for ensuring that financial resources are used responsibly and in alignment with organizational objectives. Performance metrics and key performance indicators (KPIs) provide benchmarks for evaluating financial and operational performance. These metrics should be transparent, relevant, and aligned with strategic goals. Advancing financial transparency and ethical governance requires a multifaceted approach encompassing technological innovation, robust governance frameworks, strategic cost management, and accountability measures. By embracing these principles, both higher education institutions and industries can build trust, enhance efficiency, and achieve long-term sustainability. Keywords: Financial Transparency, Ethical Governance, Cost Management, Accountability, Higher Education, Industry

Sales Navigator

Sales Navigator stands as a groundbreaking project at the forefront of data-driven financial analysis, leveraging advanced deep learning technology to revolutionize the prediction and understanding of sales prices in today's dynamic financial markets. This innovative system seamlessly integrates diverse data sources and employs sophisticated algorithms to decode intricate financial patterns over time. Users are equipped with real-time data updates, customizable dashboards, and timely alerts for significant market events, creating an enriched and dynamic user experience. At its core, Sales Navigator functions as an indispensable resource for financial professionals, offering comprehensive insights into the complexities of the financial markets. The system's deep learning capabilities empower investors, traders, and financial analysts by providing them with the tools to make well-informed investment decisions. Through the fusion of cutting-edge technology and financial expertise, Sales Navigator sets a new standard in predictive accuracy and responsiveness. In essence, Sales Navigator signifies a pioneering approach to financial analysis, where deep learning technology is harnessed to navigate the intricacies of the ever-evolving financial landscape. By offering a holistic understanding of market dynamics, Sales Navigator emerges as an asset, supporting financial professionals in their pursuit of success in today's data-driven and rapidly changing financial ecosystem. Index Terms: AI, ML, Sales Navigator, Data Analytics, Real time, Transformers.

Clinical dashboard development and implementation to standardize data capture and reporting across health-system specialty pharmacies.

To describe the development and implementation of clinical dashboards to standardize data capturing and reporting across multiple partner health systems. Between July and September 2020, clinical dashboards were developed and implemented across multiple partner health-system specialty pharmacies (HSSPs) located throughout the United States. The dashboards were developed via collaboration between personnel involved in clinical subcommittees, clinical outcomes, data analytics, information technology, and clinical and central operations. Utilizing a cloud-scale business intelligence service, patient clinical data documented in a shared patient management system was utilized to create customizable dashboards that displayed patient-reported outcome measures, collected laboratory or test results, and completed pharmacist interventions. Separate dashboards were developed for several disease states and/or medication classes. Based on specialty pharmacy recommendations, medical literature, and clinical guidelines, internally developed disease-specific protocols defined data included in the dashboards and ensured consistent data collection amongst partner health systems. Having access to real-time clinical information allows health systems to closely monitor performance metrics, track patient outcomes, and identify operational gaps. Accurately capturing and reporting clinical metrics using clinical dashboards can assist HSSPs in delivering high-quality care. Having access to clinical outcome measures allows HSSPs to better understand the impact of their services on patients' health and quality of life. Health systems can utilize this data to analyze trends and recognize areas of opportunity so that measures can be taken to improve patient care.

Flexible visualization of a 3rd party Intrusion Prevention (Security) tool: A use case with the ELK stack

A difficult aspect of cyber security is the ability to achieve automated real time intrusion prevention across various sets of systems. To this extent, several companies are offering comprehensive solutions that leverage an “accuracy of scale” and moving much of the intelligence and detection on the Cloud, relying on an ever-growing set of data and analytics to increase decision accuracy. Often, they provide tools to visualize the decision workflows in attack prevention (as well as tune the algorithm) but those solutions are not always practical as companies see the problem as “global” that is, from a unified Cyber-security standpoint. However, a key to a successful Cyber-security program is transparency and trust: from an experimental team viewpoint, this specifically means having the ability to immediately see what and from where, who has been blocked and being able to inform the community in case of a revoked access without the need for filing a “ticket” (that may eventually be answered) – in other words, rapid response to their user-base is essential but solutions targeting “sub-groups” in an organization are not often available.We have come up with a versatile solution leveraging the ELK stack (Elasticsearch, Logstash, & Kibana) and an IPS (Intrusion Prevention System) based WAF (Web Application Firewall) from Signal Sciences. Signal Science allows the streaming of detailed logs in a Logstash format suitable for custom solutions for visualization. By combining these two tools, we have strengthened our security posture and enabled individual experiments to monitor their own traffic. Specifically, the IPS WAF provides unique data such as country of origin, protocol, response code, source IP, and paths accessed.In this contribution, we will show how we engineered a visualization solution so experiment groups could access a dashboard with predefined graphs but also, where they can create individual customizable dashboards used to display blocked traffic and troubleshoot latency issues. We will discuss the details and procedures for developing and configuring these tools and how it benefits cyber security postures across our scientific based environment.

Raising the Flag: Monitoring User Perceived Disinformation on Reddit

The truth value of any new piece of information is not only investigated by media platforms, but also debated intensely on internet forums. Forum users are fighting back against misinformation, by informally flagging suspicious posts as false or misleading in their comments. We propose extracting posts informally flagged by Reddit users as a means to narrow down the list of potential instances of disinformation. To identify these flags, we built a dictionary enhanced with part of speech tags and dependency parsing to filter out specific phrases. Our rule-based approach performs similarly to machine learning models, but offers more transparency and interactivity. Posts matched by our technique are presented in a publicly accessible, daily updated, and customizable dashboard. This paper offers a descriptive analysis of which topics, venues, and time periods were linked to perceived misinformation in the first half of 2020, and compares user flagged sources with an external dataset of unreliable news websites. Using this method can help researchers understand how truth and falsehood are perceived in the subreddit communities, and to identify new false narratives before they spread through the larger population.

Deployment and Assessment of a Virtual Coaching Platform to Support Healthy Habits and Whole Health for Vulnerable People Living with HIV

Background Office of Health and Human Services of Rhode Island (0HHS-RI) provides care to the most vulnerable people in the state living with HIV. While most of their clients achieve viral load suppression, the majority of these individuals still lack the support they need to tackle mental health issues, manage comorbidities, be physically active, and address other social determinants of Health. Digital health technologies have demonstrated value to provide this support and help people manage whole health. Digital platforms can deliver tailored health interventions and improved outcomes for people with HIV. However, this vulnerable population most in need of that support lacks access to current technology and platforms designed to meet their particular needs. Objective The objective wo design, deploy, and assess an evidence-based digital health platform to support healthy habits and improve outcomes for the target population, TAVIE Red. The platform is the product of two years of patient-centered iterative design and built upon theories of behavioral medicine. The core technology is a clinically-validated virtual nurse app that delivers tailored education to users. On the patient app, clients self-manage health (eg, monitor symptoms and receive treatment reminders), access social services (eg, locate food banks and clinics) and receive evidence-based interventions to promote mental and physical health (eg, decrease stress and increase physical activity). Users receive personalized feedback and rewards that incentivize and engage during each phase of treatment. On the professional portal, case managers can monitor clients remotely, receive actionable insights, and intervene appropriately. Administrators access real-time analytics on health status and delivery of services through a set of customizable dashboards. Methods Eligible clients received an Android phone preloaded with the app. Case managers received access to the professional platform on a desktop and in some cases, tablet devices to use the app in the field. Three generations of the platform were deployed over a two-year period. Participants completed a survey at baseline and follow-up on paper and digitally through the app. Thus far, 200 people living with HIV have participated in this program along with their case managers. Results Two years into the project, users are engaged with the app, enjoying it, and benefiting from it. Seventy-seven percent of users actively engage with the app, earning points and progressing through the coaching sessions with 67% completing self-assessments through the app and most track measures including physical activity, symptoms, and CD4 count and viral load. There was a 5% increase in viral suppression in this population over two years. Eighty-eight percent of users recommend the app to others. Conclusions To date, the TAVIE platform is an engaging appealing platform. Users remain on the app over time and report great benefits of use. Formal evaluation of outcomes ongoing.

Consolidation of cloud computing in ATLAS

Throughout the first half of LHC Run 2, ATLAS cloud computing has undergone a period of consolidation, characterized by building upon previously established systems, with the aim of reducing operational effort, improving robustness, and reaching higher scale. This paper describes the current state of ATLAS cloud computing. Cloud activities are converging on a common contextualization approach for virtual machines, and cloud resources are sharing monitoring and service discovery components. We describe the integration of Vacuum resources, streamlined usage of the Simulation at Point 1 cloud for offline processing, extreme scaling on Amazon compute resources, and procurement of commercial cloud capacity in Europe. Finally, building on the previously established monitoring infrastructure, we have deployed a real-time monitoring and alerting platform which coalesces data from multiple sources, provides flexible visualization via customizable dashboards, and issues alerts and carries out corrective actions in response to problems.

Give Me a Customizable Dashboard: Personalized Learning Analytics Dashboards in Higher Education

With the increased capability of learning analytics in higher education, more institutions are developing or implementing student dashboards. Despite the emergence of dashboards as an easy way to present data to students, students have had limited involvement in the dashboard development process. As part of a larger program of research examining student and academic perceptions of learning analytics, we report here on work in progress exploring student perceptions of dashboards and student preferences for dashboard features. First, we present findings on higher education students’ attitudes towards learning analytic dashboards resulting from four focus groups (N = 41). Thematic analysis of the focus group transcripts identified five key themes relating to dashboards: ‘provide everyone with the same learning opportunities’, ‘to compare or not to compare’, ‘dashboard privacy’, ‘automate alerts’ and ‘make it meaningful—give me a customizable dashboard’. Next we present findings from a content analysis of students’ drawings of dashboards demonstrating that students are interested in features that support learning opportunities, provide comparisons to peers and are meaningful to the student. Finally, we present preliminary findings from a survey of higher education students, reinforcing students’ desire to choose whether to have a dashboard and to be able to customize their dashboards. These findings highlight the potential for providing students with some level of control over learning analytics as a means to increasing self-regulated learning and academic achievement. Future research directions aimed at better understanding students emotional and behavioral responses to learning analytics feedback on dashboards and alerts are outlined.

CyberEye: Development of integrated cyber-infrastructure to support rapid hurricane risk assessment

Recent losses provide sobering evidence of the continued need for more effective tools to support hurricane risk assessment and mitigation that can leverage the latest developments both in the characterization of the hazard and its impacts on built environments. This paper provokes the question of whether open-source virtual environments can indeed provide the appropriate venue to do so, leveraging application programming interfaces and a modular approach to packaging the overall framework that encourages the progressive integration of data, tools and models from the community. This paper presents one opportunity: a virtual environment called CyberEye and the cyberinfrastructure that backs this collaboration space, providing users with a customizable dashboard where they can annotate, mark up and share information with other authorized users through a web-based geospatial environment. The paper focuses on the platform׳s two distinct workflows: Rapid Risk Assessment and Data Intake and Discovery, providing for each working User Scenarios to demonstrate the platform capabilities, relative to the current standard of practice.

Implementation of EMR and effects on health care delivery.

250 Background: Electronic health records have potential to enhance health care safety and quality by enabling effective communication, Clinical Decision Support technology, and generation of structured data for analysis. Despite the fact that EHRs have been shown to improve health care processes, the rapid growth of technology used to support medical care has resulted in the creation of enormous volumes of data used to assess and manage healthcare delivery. Valuable data is often siloed in multiple IT systems or captured in free-text clinical notes and non-searchable documents (unstructured data) making it impossible to quickly develop and act on real-time longitudinal data. Methods: Flatiron (FI) operates a "big data" software platform that aggregates, cleans and structures deep clinical oncology data thus facilitating understanding of operational, clinical and financial analytics related to cancer care. The platform proposes to solve these fundamental data challenges, enabling a range of real-time quality measures. It is best understood as three related components: the first is the technical integration between FI and providers' IT and data systems. That integration serves as the plumbing through which data flows securely from the provider to FI. The second is FI’s structured database, which transforms raw clinical, operational, and billing data into clean, structured, longitudinal, real-time patient data. The third is the FI user interface portal, which is a web-based analytics tool that facilitates access to the continually updated structured database. Results: Over 10 institutions have partnered with FI to deploy the platform. The full integration of an institution can be achieved in 12 to 16 weeks with daily updates to the analytics after the initial phase. Over 15,000 patients are expected to be fully integrated in the next 3-6 months. Initial QOPI and other quality measures have been included and customizable dashboards linking charge databases with clinical outcomes have been created. Dashboards with quality metrics will be presented in the conference. Conclusions: Implementation of EMRs alone does not improve healthcare delivery. Data on colorectal cancer patients will be presented at the meeting.