External Entities Research Articles

A Review on the emerging technology of TinyML

Tiny Machine Learning (TinyML) is an emerging technology proposed by the scientific community for developing autonomous and secure devices that can gather, process, and provide results without transferring data to external entities. The technology aims to democratize AI by making it available to more sectors and contribute to the digital revolution of intelligent devices. In this work, a classification of the most common optimization techniques for Neural Network compression is conducted. Additionally, a review of the development boards and TinyML software is presented. Furthermore, the work provides educational resources, a classification of the technology applications, and future directions and concludes with the challenges and considerations.

Sistem Forecasting Permintaan Tempe menggunakan Metode Weighted Moving Average

Information systems are created in stores in order to easily process data and produce the information needed quickly, accurately, precisely, effectively, and efficiently, reducing spending costs. The purpose of this study is to produce a forecasting system for tempeh demand to suit consumer needs when marketed. This type of research is research and development using the waterfall model. This model consists of stages of analysis, design, implementation, and testing. The analysis was conducted to obtain the needed data regarding tempeh using the weighted moving average (WMA) method. While we make this design, such as flowcharts, use cases, and data flow diagrams, Furthermore, the implementation of the women's tempeh factory was carried out, and testing was carried out using black box testing. The data we use is request data from September 29, 2023, to December 23, 2023. Our findings show that the mean absolute percentage error (MAPE) to predict tempeh demand is 3.83%; this result is quite small, so the accuracy rate obtained is 96.17%. In addition, the results of the system we developed are also in accordance with the results of manual calculations. This is also evidenced by the absence of errors that occur after testing using black box testing. So that this system can be used to manage tempeh, it is ready to be marketed by the female tempeh factory.

Chains of supplies in insurance services

Insurance activity involves the work of several entities, aimed at creating an insurance product, which is then offered to clients. In traditional terms, the management of chains of insurance services supplies focused on ensuring that actions taken by external entities in respect of insurance undertakings were not detrimental to the stability and security of insurance sector. The number of challenges faced nowadays concerning social and environmental issues results in a pressure from the public on major enterprises, including those from the insurance sector, that their and their subcontractors’ activities give rise to the least negative effects possible. The result of such pressure is also that the insurance and reinsurance undertakings are starting to implement the system of supplies chains management.The aim of this article is to present the legal provisions in force concerning chains of supplies in insurance services, as well as to analyse non-normative sources that may be a basis for the management of chains of insurance services supplies in accordance with the ESC principles. The article also discusses EU legislation proposals concerning sustainable development that have a direct impact on the chains of supplies in insurance sector

Empowering SMEs for the digital future: unveiling training needs and nurturing ecosystem support

ABSTRACT Previous studies show that digital transition brings several benefits and challenges for companies. Among those challenges, particularly for Small and Medium-sized Enterprises (SMEs), the main one is increased capacitation, from technical roles to management. Considering this, the main objective of this study is to identify the training needs and the ecosystem support in the face of the digital transition for Portuguese manufacturing SMEs. Semi-structured interviews were conducted with industry experts and company professionals in the automotive and textile sectors. It was concluded that all workers, from technical roles to middle and top management, need more digital capabilities and would benefit from training programmes. The most desired areas for training are data science, virtualisation skills, quality assurance, technical training, and soft skills. The preferred format is physical (or hybrid at most) during working hours and with theoretical training before on-the-job learning. Both industrial companies and experts believe in the value of involving external entities in the training of employees, with the three most referred entities being technology and interface centres, universities, and business associations.

Analysis and Design of Responsive Web-Based Learning Media Equipped with Pomodoro Feature in the Course of Software Engineering

The development of information and communication technology has brought about changes in the field of education, one of which is the emergence of web-based learning. Based on preliminary observation data collected through questionnaires, students still expressed uncertainty about their understanding of software engineering (SE) materials. The current learning media for SE include PowerPoint (PPT), e-modules, and instructional videos, which students find less engaging and challenging to comprehend. Additionally, students face distractions like games and social media, leading to difficulty maintaining focus while studying. The objectives of this research are (1) to analyze user and system needs and (2) to design web-based responsive learning media for the software engineering course, equipped with a Pomodoro feature. The research method used is research and development (R&D) with the 4D Thiagarajan development model, consisting of four stages: define, design, develop, and disseminate. However, only the definition and design stages were carried out due to research limitations. The presentation of data analysis results involves (1) needs analysis, which includes frontend analysis, learner analysis, task analysis, concept analysis, and specifying instructional objectives; (2) system design, which includes context diagrams and data flow diagrams; (3) database design, which includes Entity Relationship Diagram (ERD) and database file structure; (4) initial design in the form of a prototype; (5) technology design for development and implementation; and (6) instructional media testing design

A Taxonomy of Explanation Types and Need Indicators in Human–Agent Collaborations

In recent years, explanations have become a pressing matter in AI research. This development was caused by the increased use of black-box models and a realization of the importance of trustworthy AI. In particular, explanations are necessary for human–agent interactions to ensure that the user can trust the agent and that collaborations are effective. Human–agent interactions are complex social scenarios involving a user, an autonomous agent, and an environment or task with its own distinct properties. Thus, such interactions require a wide variety of explanations, which are not covered by the methods of a single AI discipline, such as computer vision or natural language processing. In this paper, we map out what types of explanations are important for human–agent interactions, surveying the field via a scoping review. In addition to the typical introspective explanation tackled by explainability researchers, we look at assistive explanations, aiming to support the user with their task. Secondly, we survey what causes the need for an explanation in the first place. We identify a variety of human–agent interaction-specific causes and categorize them by whether they are centered on the agent’s behavior, the user’s mental state, or an external entity. Our overview aims to guide robotics practitioners in designing agents with more comprehensive explanation-related capacities, considering different explanation types and the concrete times when explanations should be given.

Digital thread-driven cloud-fog-edge collaborative disturbance mitigation mechanism for adaptive production in digital twin discrete manufacturing workshop

The collaborative capacity among various computing layers within a digital twin workshop directly impacts the handling of disturbances in discrete manufacturing processes. However, the intricate nature of the cross-space (physical and virtual space) and cross-layer (cloud, fog, and edge) interactions within a digital twin system poses challenges to construct a comprehensive data model and interoperable data flow, leading to a fragmented state of computing layers. To tackle these challenges, this study presents a digital thread-driven theory and method for cloud-fog-edge collaboration in digital twin discrete manufacturing workshops. Firstly, the five-dimensions production information that cross spaces and layers is concatenated and integrated by constructing digital thread models. Subsequently, a disturbance response model is conducted based on these digital thread models to detect, track, and evaluate disturbances. Furthermore, corresponding cloud-fog-edge collaboration strategies are devised for different types and severity of disturbances, facilitating the dynamic production tasks adjustments. Finally, a case study to discuss the performance of the proposed method regarding the maturity of the digital thread model, disturbance response capability, and production self-adaptive adjustment capability. The results demonstrate that the proposed method effectively mitigates makespan and machine idle time under gradual and abrupt disturbances, and saves 46.22% of computing processing time.

Nested Entity Recognition Method Based on Multidimensional Features and Fuzzy Localization

Nested named entity recognition (NNER) aims to identify potentially overlapping named entities. Sequence labeling method and span-based method are two commonly used methods in nested named entity recognition. However, the linear structure of sequence labeling method results in relatively poor performance, and span-based method requires traversing all spans, which brings very high time complexity. All of them fail to effectively leverage the positional dependencies between internal and external entities. In order to improve these issues, this paper proposed a nested entity recognition method based on Multidimensional Features and Fuzzy Localization (MFFL). Firstly, this method adopted the shared encoding that fused three features of characters, words, and parts of speech to obtain a multidimensional feature vector representation of the text and obtained rich semantic information in the text. Secondly, we proposed to use the fuzzy localization to assist the model in pinpointing the potential locations of entities. Finally, in the entity classification, it used a window to expand the sub-sequence and enumerate possible candidate entities and predicted the classification labels of these candidate entities. In order to alleviate the problem of error propagation and effectively learn the correlation between fuzzy localization and classification labels, we adopted multi-task learning strategy. This paper conducted several experiments on two public datasets. The experimental results showed that the proposed method achieves ideal results in both nested entity recognition and non-nested entity recognition tasks, and significantly reduced the time complexity of nested entity recognition.

NCCN Guidelines® Insights: Systemic Mastocytosis, Version 3.2024.

Mastocytosis is a heterogeneous group of disorders comprising cutaneous mastocytosis, systemic mastocytosis, and mast cell sarcoma. It is associated with a variety of symptoms related to the release of mast cell mediators and mast cell tissue infiltration. Referral to specialized centers with expertise in the management of mastocytosis and multidisciplinary collaboration with subspecialists (eg, allergists for the management of anaphylaxis and drug hypersensitivities, anesthesiologists for invasive procedures or surgery, high-risk obstetrician for pregnancy) is recommended. The NCCN Guidelines for Systemic Mastocytosis provide evidence- and consensus-based recommendations for the diagnosis and comprehensive care of patients with systemic mastocytosis. The multidisciplinary panel of experts convenes at least once a year to review requested changes to the guidelines from both internal and external entities as well as to discuss data on existing and new therapies. These NCCN Guidelines Insights focus on some of the recent updates to the guidelines.

Clinic Management System

Abstract: As people’s levels of education rise particularly in medical industry the progress of our nation impacted by the inadequate health care patients in government hospitals occasionally have to wait hours to receive care. Although administration must maintain track of a vast number of files containing all patient information, this can occasionally result in redundant data and extra effort. This is the rationale for the proposal for the Online Clinic Management System, which is being developed with a web-based idea. An iterative waterfall model approach, dataflow, logical and entity relationship diagrams were among the techniques utilized in the system’s development. Were employed in the system’s design. Because all manual tasks in this system are being converted to computerized types, there would be no data redundancy during the registration process, records on patient details could be found more quickly, and patient waiting times before receiving medical treatment could be reduced. Keywords: computerized, health care, online clinic management system, and patient record.

Development of a training program prototype to enhance implementation leadership competencies and behaviours of Chinese unit nurse managers: a qualitative descriptive study

BackgroundUnit nurse managers hold essential positions that can facilitate implementation of evidence-based practice. Studies showed that nurse managers in China lacked competencies and behaviours necessary to lead evidence-based practice implementation. The aim of the current study was to develop a context-fit training program prototype to enhance leadership competencies and behaviours regarding evidence-based practice implementation of Chinese unit nurse managers.MethodWe used a descriptive qualitative study design and followed the integrated knowledge translation approach to co-develop the prototype in a tertiary hospital in Changsha, China. Seven nurse managers from the participated hospital and a researcher co-developed the prototype based on the Ottawa Model of Implementation Leadership (O-MILe). The development process encompassed four phases from November 2021 to March 2022 that involved group discussions (n = 4) and individual interviews (n = 21). All data were analysed by two independent researchers using the thematic analysis method.ResultsManagers agreed that all O-MILe behaviours were important to evidence-based practice implementation, and only minor modifications were needed for clarification and adaptation. The actions managers identified that could operationalize the leadership behaviours were related to current clinical practices, evidence-based practice, nurses, patients, interprofessional staff members, incentives and resources, organization and external entities. Three types of general competencies related to evidence-based practice, professional nursing, and implementation leadership were identified. Multimodal activities such as lectures, experience sharing, group discussions, plan development and coaching were suggested to deliver the training program.ConclusionsAll O-MILe leadership behaviours were perceived as essential for unit nurse managers to lead EBP implementation in the hospital context in China. We identified the leadership actions and the competencies required for nursing managers to implement EBP in China. Further studies are required to evaluate the acceptability and impact of this prototype. Further studies with large sample sizes across various clinical settings are needed to facilitate the generalization of the findings and gain an in-depth understanding of the program.

Cyber Security Systems in Manufacturing Process Application: A Review

In recent times, technological progress has become increasingly pivotal across various sectors, particularly in engineering and its associated fields. However, organizations are grappling with numerous challenges, foremost among them being security threats such as unauthorized access to sensitive company data by external entities. The prevalence of such security issues has emerged as a significant concern for many enterprises, as the economic stability of an organization hinges on the secure integration of diverse information assets, free from external vulnerabilities. This study delves into existing literature on advancements in cybersecurity within manufacturing process networks, aiming to bolster safety measures against cyber-attacks and fortify operations. With the advent of Industry 4.0, there is a ripe opportunity to infuse modernizing elements into manufacturing systems, thereby fortifying their security infrastructure. By leveraging cybersecurity protocols, organizations can safeguard information integrity to uphold stringent safety standards effectively.

Car Rental System Authors:

The Car Rental System enables customers to reserve vehicles from anywhere globally. By providing personal information, customers can create accounts on the website and proceed to reserve cars according to their preferences. This online system automates manual procedures effectively, aiding customers in filling specific details as per their needs. The goal is to establish a website for customers to book vehicles and request services worldwide KEYWORDS: Car Rental System, Online Booking, PHP, PHPMYADMIN, XAMPP, Database Management, System Analysis, Feasibility Analysis, User Interface Design, Data Flow Diagram, Sequence Diagram, ER Diagram, Database Connectivity

Courier Service System

The demand for efficient courier services is growing rapidly, and traditional systems often struggle to meet these demands. This project introduces an Enhanced Courier Service System Application, utilizing cutting-edge technologies such as ReactJS for the frontend, Java Spring Boot for the backend, and MongoDB for the database. The primary objective is to develop a robust and scalable courier service system that offers enhanced features and functionalities to meet the evolving needs of users. The system architecture facilitates seamless communication between frontend, backend, and database components, ensuring smooth data flow and efficient processing. ReactJS for the frontend enhances user experience, while Java Spring Boot provides scalability, security, and performance. MongoDB, a NoSQL database, offers flexibility and scalability for large data storage and retrieval. The modular design allows for easy maintenance and future enhancements, adapting to changing requirements and technologies. By incorporating industry-standard practices like UML diagrams, data flow diagrams, and sample test cases, the project aims to deliver a high-quality, reliable, and user-friendly courier service system application.

Rancang Bangun Aplikasi Pembelian Tiket Berbasis Web Pada PT Sri Varia Wisata

PT Sri Varia Wisata or known as Varita is a company engaged in the business of travel agency services, this company is a subsidiary of PT Pupuk Sriwidjaja or better known as Pusri which is under the auspices of the Pusri Employee Welfare Foundation (YKPP). The purpose of making this application is to help the ticketing section work more easily and efficiently in ticket purchase transactions at PT Sri Varia Wisata. Data collection techniques used are the stages of planning, analysis, design, coding and testing. The development of this system uses an iterative method. To describe the proposed application using Entity Relationship Diagrams, Data Flow Diagrams and Context Diagrams. Making this application using the PHP programming language and ticket sales database using MySQL. Users of this information system are the head office, ticketing staff and customers of PT Sri Varia Wisata. The conclusion obtained is that with this application, both ticketing staff and customers can be facilitated in conducting ticket sales transactions and can make it easier for the head of the office to find out the history of ticket sales in real time.

DIGITALISASI SISTEM INFORMASI ANJUNGAN PENDAFTARAN MANDIRI (APM) RAWAT JALAN BERBASIS WEBSITE MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT (RAD) DI RSU HAJI MEDAN

In order to achieve faster and more accurate hospital services, hospitals need to establish and have an electronic based website. The problem that still exists at Medan Haji General Hospital is related to the absence of the use of a website based outpatient self-registration platform (APM) information system. This is because officers still lack understanding of the importance of website based information systems and the limitations of an IT person to design the application. The purpose of this research is to design a website based information system for self registration booths (APM) at the Haji General Hospital in Medan. The method in this study uses the Rapid Application Development (RAD) model. The results that were concluded from the respondents were to find out whether or not there were deficiencies in the website that had been designed, and to find out whether the website system that had been designed was accepted or not by the Medan Haji Hospital. Researchers created a website design using Microsoft Office Visio 2013 to create Entity Relationship Diagrams (ERD) and Data Flow Diagrams (DFD). The integration and system testing stages of each program unit are integrated with each other and tested as a total system. Then the system will be sent to the system user. Website testing that has been designed uses testing with the Blackbox technique. The conclusion is that it can facilitate the patient quickly and efficiently. It is suggested that this system can be developed for the future so that it can be done electronically and the system can cover not only old patients, but also new patients so that it can be more effective and efficient in reducing long queues during registration at the hospital.

Unveiling the impact of front-of-pack nutritional labels in conflicting nutrition information – A congruity perspective on olive oil

An increasing awareness of the importance of healthy eating prompted consumers to gather nutritional cues from various sources, often resulting in conflicting nutrition information for the same food. This can lead to unintended consequences, such as decreased consumer interest in dietary information and behaviors contrary to healthy advice, particularly when the sources are deemed highly credible by consumers.In a series of three experiments, we aim to uncover the underlying cognitive mechanisms connected to complementary information provided by Front-of-Pack Nutritional Labels (FOPLs), exploring if conflicting nutrition information is generated when consumers integrate the labels’ information with other sources. Using olive oil as a case of products associated with conflicting nutrition information (CNI), Study 1 shows that directive labels (e.g., Nutri-Score) generate CNI when combined with either internal (i.e., pre-existing health knowledge) or external entities (i.e., knowledge from scientific information). In contrast, non-directive labels (e.g., NutrInform Battery) do not, in either condition. Study 2 explains that consumers establish a lower level of congruence between information provided by the internal entity and FOPL when the label is directive. Study 3 confirms a lower level of congruence between the information available from the external entities and FOPLs when the label type is directive, compared to non-directive. Furthermore, this diminished congruence has a negative impact on consumer attitudes and their intentions to adopt Nutritional Labels.Overall, this research delves into the interactions among various information sources from a congruence perspective, offering actionable insights for managers and policymakers to avoid becoming entangled by conflicting information.

Formation of PT Bhanda Ghara Reksa logistics Indonesia's brand awareness through digital transformation

This research aims to understand the reasons behind PT Bhanda Ghara Reksa Logistik Indonesia's digital transformation and analyze how the company builds brand awareness through digital transformation. The research methodology employed is qualitative, using a case study approach. Data collection involves in-depth interviews, observations, and literature review. The data analysis technique used is the interactive data analysis technique by Miles and Huberman, often referred to as the data flow model, consisting of data reduction, data display, and concluding. The research findings indicate that PT BGR LI's reasons for digital transformation are to optimize services to the public and stakeholders, enabling the formation of brand awareness and fostering trust among the public and stakeholders in PT BGR LI. The way PT BGR LI builds brand awareness through digital transformation is implemented through four forms of transformation: system and service transformation, product transformation, technological transformation, and organizational culture and human resources transformation.

‘Writing’ and sustaining Asian regionalism: interpreting the official discourse of ASEAN

ABSTRACT This article considers ASEAN from the perspective of regional identity-building and organizational fixity. This ten-nation bloc is generally considered a well-intentioned but flawed exemplar of inter-state community building. The article analyses how ASEAN has been ‘fixed’ as a social and political fact within the Asian geopolitical space. It reflects on the survivability of ASEAN as a social fact despite the centrifugal pressures of national interests and the impact of global forces. The findings indicate that ASEAN has achieved the effects of fixity and stability by constructing an interior political imaginary through a multifaceted discursive strategy. ASEAN’s ‘constitutive outside’ includes, inter alia, the transversal differentiation of its imagined interiority from external entities and political spaces, the focus on diachronically defined regional problem solving, the imperative of development, and through the emphasis on intra-mural connectivity along lower-level policy-making. The implications for the study of ASEAN and regional organizations are considered. Critically, the increasing salience of more functional and sectoral policy tiers dealing with transversal policy questions, compared to the more sensitive intergovernmental domains of political-security matters, is notable within the bloc’s official discourse.

Impact of Campaign Bundling on the Success of Donation-Based Crowdfunding

ABSTRACT Project success is a major challenge to the sustenance of crowdfunding platforms constituted for donation. While previous studies have recognized the importance of source reputation, establishing a credible reputation remains a formidable task for project founders. This study proposes a novel idea of achieving credibility through bundling, in which crowdfunding campaigns collaborate with similar projects (project bundling) or external entities (ideological bundling). This study examines how these two bundling strategies affect crowdfunding outcomes. Further, the study explores how sources of reputation and size establish boundaries of bundling. Using data from Mchanga.com, our analysis reveals a diverse effect of collaborative fundraising on the success of donation crowdfunding. Specifically, our findings indicate that project bundling positively impacts campaign success, whereas ideological bundling has a negative effect. The study contributes to the literature on bundling, credible reputation, and collaborative fundraising on digital platforms. This research also provides insights for practitioners to successfully manage donation-based crowdfunding campaigns.