bluuebunny/crossref_metadata_2025 huggingface dataset:
Survey of Research Issues and Proposed Solutions for Detecting Parameter Anomalies in System Logs
Authors: Uchida Hironori , Tominaga Keitaro , Itai Hideki , Li Yujie , Nakatoh Yoshihisa
Published: August 2024

In the ever-evolving field of software development, the demand for automation of fault analysis that is time-consuming and expertise-requiring is growing. One solution to this challenge is the study of anomaly detection using text logs, which has seen numerous research efforts. However, despite the variety of patterns that system anomalies can exhibit, many studies have predominantly focused on sequence anomalies. This is largely attributed to the limited availability of datasets, with the commonly used Loghub data being oriented towards sequence anomalies. This research addresses the current challenges in anomaly detection models and proposes several new methods for detecting parameter anomalies. Initially, due to the lack of datasets of parameter anomalies, we prepared common parameter anomaly scenarios and compared them with existing sequence anomaly detection models (including DNN models for sequence anomalies and DNN models using semantic information), and with a variety of proposed methods. The prepared parameter anomaly patterns include four Integer types and three String types. For instance, a parameter within a certain range (-100 to 100) is considered normal, while parameters outside this range are deemed anomalies. Our proposed method begins by extracting parameters using LogParser and determining whether they are of Int or String type. For Int types, we use Z-Score, IQR, K-NN and DBSCAN for evaluation, while for String types, we use a Bert-based positive-negative classifier. The experimental results showed that the DNN model for sequence anomaly had an F1 Score of less than 0.5 for all patterns. In contrast, our proposed methods achieved F1 Scores exceeding 0.9 or 0.8 for almost all methods, except for one anomaly pattern. It was found that the proposed methods are effective for common parameter anomaly problems. Furthermore, since our methods do not require prior training, they are particularly advantageous for ad-hoc learning in the context of continuously updated software development.
Exploring The Use of ChatGPT4 API in Approaching Math Word Problems
Authors: Wong Joe , M G R Harsavardhan , Y T Lim Kenneth , Ling Leong Swee
Published: August 2024

With the evolving educational landscape precipitated by the COVID-19 pandemic, online education becomes increasingly prevalent. Much help is needed to provide innovative solutions to address the challenges faced by both students and teachers during this time of crisis. This paper describes an independent research project conducted by a pair of high school students between April 2023 and February 2024, under the mentorship of a senior research scientist at the National Institute of Education in Singapore. The project investigates various methods of Tesseract OCR text recognition, OpenCV image processing, Flask web development and OpenAI’s Large Language Models to improve mathematics-solving applications.Our program extracts text using Tesseract OCR, utilising it as input for the GPT-4 API, enabling a conversational presentation of mathematics problems. Users interact by inputting the image address of the math problem that they would like the AI to solve, and GPT-4 provides solutions with detailed step-by-step explanations. OpenCV improves the provided image’s quality such as making the text or diagrams more distinct to reduce the possibility of them being misinterpreted. Through evaluation by testing with different types of maths problems of varying difficulty, our findings underscore the potential for advanced language models in educational tools, offering interactive and intuitive maths problem-solving experiences. There were a few limitations encountered during experimentation, such as challenges with extraction of non-Latin alphabets and accuracy of the OpenAI’s Large Language Modules when solving more complex diagram problems, highlighting the need for further refinement to enhance the system's robustness and adaptability. Future work involves addressing these limitations to broaden the system's applicability for educational purposes and beyond.
An Exploration of Machine Learning and Reinforcement Learning for Emotional Well-Being
Authors: Y T Lim Kenneth , T S E Chio Ryan , Wen Lim Zhi
Published: August 2024

With the high levels of stress in Singapore, mental and emotional well-being is an important health and social issue today. Research has shown the positive effects of pet ownership on mental and emotional well-being, however challenges of owning a pet in Singapore such as pet licensing restrictions, high costs, fear of losing a pet, a busy lifestyle and even allergies may deter pet lovers from owning a pet. Thus, we propose a technology-driven solution to emulate the useful effects of pets while mitigating the challenges of pet ownership. This project focuses on designing emotion recognition and reinforcement learning models as a stepping stone to individualise responses to a person’s emotions. Our approach utilises the output from the emotion recognition model as an input in the proposed reinforcement learning algorithm. Hence, the paper first compares pre-trained and custom trained facial recognition models, and postulates the use of physiological signals via hardware sensors to further enhance the emotion recognition model. This is inspired from the ability of pets to perceive and respond to different emotions based on facial expressions and physiological signals like heart rate. The paper then outlines the development of novel K-Bandit algorithms in reinforcement learning tested on simulated reward functions, with the aim of optimising parameters for individualised responses to a person’s emotions. Since reinforcement learning is typically used in simulation scenarios, this paper works towards developing a model that will eventually learn a person’s preferences in real time by monitoring their emotional changes. To conclude, this project has showcased the feasibility of facial expressions and physiological signals for emotion recognition, and established the effectiveness of our proposed parameter optimisation functions in the K armed bandit reinforcement learning model to customise responses based on an individual’s emotions. We hope this paper can act as a basis for future works in creating a human-friendly prototype to emulate man’s best friend.
AI-based Chatbot Coaching for Interdisciplinary Project Teams: The Acceptance of AI-based in Comparison to Rule-based Chatbot Coaching
Authors: Mai Vanessa , Nickel Johanna , Gähl Anna , Rutschmann Rebecca , Richert Anja
Published: August 2024

Project-based work is integral in corporate and academic settings, where coaching plays a crucial role in enhancing team performance and project success. To streamline this process and improve scalability, we developed a coaching chatbot at TH Köln/University of Applied Sciences to assist interdisciplinary teams. Utilizing a systemic coaching approach, the chatbot prompts self-reflection through solution-focused questions. We collaboratively created it with student facilitators and lecturers and tested it during a University-wide Interdisciplinary Project Week in November 2023. The pilot study involved two versions of the chatbot: a rule-based system and a hybrid model incorporating generative AI capabilities. As part of the field test, we analysed its acceptance: How effective is the chatbot in supporting projects groups and facilitating reflection processes? Are there differences in acceptance between the two chatbots? Half of the project groups in the one-week course used the rule-based chatbot, while the other half of the project groups were provided with the AI-based chatbot. 134 students participated and used the chatbots at the end of each day of the project week. The results of this study indicate that our test subjects accepted both types of chatbots with moderate to good scores in acceptance. However, the AI-based chatbot fared significantly worse in terms of performance expectancy and effort expectancy. This is possibly due to the fact that hybrid coaching chatbots are neither widely developed nor researched. We conclude that regardless of the technical basis of such a chatbot, conversation design and prompting is an essential part of chatbot development and contributes significantly to acceptance. This study demonstrates the potential of chatbots in supporting group coaching, not only in educational settings but also in corporate environments where they can aid agile project teams. This research marks one of the initial explorations into the acceptance of group coaching through chatbots.
Unravelling the Aesthetics and Emotion: Exploring the Artistic Value of AI-Generated Artworks
Authors: Ho Amic
Published: August 2024

The debut of AI art, a new cultural realm, has given rise to discussions about its artistry and aesthetic value. On the other hand, since the new path of the art-creational movement does not allow applying traditional components of creativity to evaluate the creative and aesthetic value, art coming from AI creates new difficulties concerning its evaluation. What are the pillars of the art genre – composition, technique, visual phenomena – no longer look the same? New tools are required to give a scientifically sound assessment of the esprit and visual components of AI art. How do we assess emotions driven by works from AI? They may show the extent of faithfulness to the traditional genre due to the same or diverse components from conventional art. This paper tries to compose and define the base on which an assessment of emotions driven by such works is to be done. When the artist agrees, AI uses machine learning algorithms, and the experience is always learning.
Verification of an alternative wheelchair control in a virtual environment
Authors: Bulk Jendrik , Tannert Benjamin
Published: August 2024

This work presents a training simulator that is being developed in collaboration with electric wheelchair users and medical professionals. The main function of the software is to serve as a development platform for alternative control systems that enable people with paralysis to control a wheelchair themselves. The project developed two prototype control systems using technologies such as eye tracking and a brain-computer interface.
The construction of egocentric and allocentric spatial representations in visual-spatial working memory in highly immersive virtual reality (CAVE)
Authors: Saveleva Olga , Velichkovsky Boris , Menshikova Galina , Bugriy Grigory
Published: August 2024

In solving spatial tasks, neurocognitive egocentric and allocentric spatial representations storing in the visual-spatial working memory. Egocentric representations encode the visual scenes in self-centered coordinates and allocentric representations – in world coordinates regardless of the observer's position. Previously studies showed a good consistency in spatial processing about real environments compared to virtual reality environments. A presentation method was developed for memorizing and reconstructing 3D scenes using the highest immersive CAVE virtual reality system. A space for task, library of objects and virtual scenes were designed, each containing seven virtual objects located in different 3D positions. Three viewpoints were given for reproduction: «the front» viewpoint (to reproduce the memorized scene from the imaginary egocentric position), «the left» and «the above» viewpoints (to reproduce the scene from the left or above imaginary allocentric positions, respectively). The participant had to reconstructed memorized scene in a natural way by choosing objects from the library and placed it in virtual space in accordance with the given imagine viewpoint. The score of object localizations was estimated separately by three parameters — topology, metrics, and depth. The results showed, that for both types of spatial representations schematic topological properties were preserved better in visual-spatial working memory than the exact metric information (especially for the egocentric representations). Overall, the egocentric representations were more effective in the reconstruction of 3D scenes than allocentric representations. It was also found that when using an allocentric representations, the need to add a height axis (vertical rotation) diminishes the effectiveness of the scene reconstruction from visual-spatial working memory, compared to rotations in the horizontal plane. The results suggest that both egocentric representations and allocentric representations can be formed in visual-spatial working memory, but that egocentric representations are more basic in the solution of spatial tasks using visual-spatial working memory. These results not only have theoretical significance in cognitive psychology, but also have the potential for wide practical application in healthcare, education, developmental and sports psychology, human factor research and related interdisciplinary fields.
Classification of uncertainties in agile development of mechatronic systems
Authors: Paetzold - Byhain Kristin , Scharold Franziska
Published: August 2024

Agile methods are increasingly important for developing mechatronic systems in dynamic and volatile environments. These methods help development teams to deal with uncertainties in the development process and utilize them as opportunities. One feature of agile methods is the active involvement of developers in the flow of communication and information, which has a positive effect on the quality of decision making in terms of the development process. It is essential that the developer understands, accepts, and respects the uncertainty in the development task/process to realistically evaluate development scenarios and make well-founded decisions. Tailor-made approaches are required to deal with uncertainties in the development process, as the causes of these are manifold. This paper is based on extensive literature research, analyses of agile development processes at industrial partners and a series of studies on the agile development of physical products that have been carried out regularly for six years. The aim is to differentiate uncertainties to be able to utilize and adapt the artefacts and activities employed in agile development to deal with uncertainties more effectively.The aim is to evaluate the artefacts (e.g. increment, backlog, prototype...) and activities used in agile development in terms of their potential to illustrate and deal with existing uncertainties. It will be of particular importance here which views the individual roles in the development process (product owner, agile master, developer) have on existing uncertainties and how these are interpreted as a consequence. Conversely, it is important to derive recommendations for designing artefacts and activities in agile methods in order to support communication and information flows in the best possible way.
Integrating space syntax methods in building environmental simulations and urban studies to enhance designer's critical reflective practice.
Authors: Middleton Deborah
Published: August 2024

The aim of the study assesses how architecture students reflectively evolve their procedural (tacit) knowledge, iterate innovative design strategies and logically link simulation modeling outcomes to develop synoptic synthesis with architectural understanding. A model of Reflective Synthesis Design Cognition (RSDC) is developed that extends Donald Schön’s seeing-moving-seeing model of reflection in action with material of a design situation. Two design pedagogy approaches were developed to test the validity of the RSDC model through the prototyping of student application of simulation modeling tools commonly used in building environmental performance and urban studies. The first trial required young designers to adapt a variety of design simulation modeling approaches to discover and transform the environmental performance of their architecture studio project, with a second trial required students to investigate the urban spatial morphology surrounding their project site. The two trials integrated an unfamiliar methodology, space syntax undertaking modeling with a variety of depthmapX tools. Research methods use in this study include, content analysis of the simulation modeling outcomes in order to classify the formative application of simulation modeling to test design strategy, with an investigative on-line survey questionnaire exploring user experience and self-identification of psychometric processes. Findings highlight the need for descriptive studies examining referential reflection, qualitative assessment reflection, and summative versus synthesis constructivist knowledge formation.
GoodMaps: Assessing an Indoor Navigation App Built on Camera-based Positioning
Authors: Palilonis Jennifer
Published: August 2024

This paper presents GoodMaps, an AI-driven indoor navigation tool, and chronicles findings from formative focus groups and user acceptance testing with a diverse group of participants. GoodMaps is built on camera-based positioning integrated with a smartphone app that provides turn-by-turn navigation indoors. Originally designed to support blind and low-vision users in independent indoor navigation, GoodMaps was redesigned in 2023 to help all people navigate safely and efficiently with dynamic routing instructions, orientation aids, visual maps, augmented reality, and landmark recognition. This paper shares key challenges, tensions, and opportunities in designing assistive tools for differently-abled users and app-based navigation solutions.
Conceptual approach of an online correction system for the stent production
Authors: Haas Yuna , Sax Eric
Published: August 2024

Stents are the most common form of treatment for coronary heart disease (CHD). Therefore, in Germany, in 2020, 298,557 stents were implanted. Nonetheless, they are relatively expensive. According to the German fee-per-case system, the cost of a single stent can range from 42.17 € up to 1,391.27 €. One possible reason for these costs is the lack of an automated inspection and correction system for maypole braided stents.In this paper, a concept for an online correction system of the stents’ geometry during production is proposed. In contrast to existing proposals, the concept does include the un- and re-braiding of the stent if necessary. This leads to existing errors in the stent being corrected rather than only focussing on the future braiding process. This can on the downside lead to a recursive un-braiding of the complete stent. Therefore, a recursion-prevention is included. Further, multiple options to compute the adapted take-up speed of the Mandel, including a mathematical as well as an AI-based approach, are discussed. Moreover, the concept can handle a complete description of the geometry to be produced, as well as a description based on the mandrels' take-up speed, which is more common for stent producers. All in all, the concept contains three steps. In the first steps, it is detected, if a correction is necessary and the recursion-prevention is applied. In the next step, the number of braid cells, that have to be un-braided, as well as the adapted take-up speed are computed. In the last step, the communication of the changed braiding parameters to the maypole braider, as well as the propagation of the take-up speed regarding the remaining production process, are handled.
Sustainable Use of Resources in Hospitals: A Machine Learning-Based Approach to Predict Prolonged Length of Stay at the Time of Admission
Authors: Perliti Paolo , Giovanetti Anita , Bolelli Federico , Grana Costantino
Published: August 2024

Length of Stay (LOS) and Prolonged Length of Stay (pLOS) are critical indicators of hospital efficiency. Reducing pLOS, particularly in public healthcare settings, is crucial for optimizing bed allocation, resource utilization, and overall cost containment, while also improving patient safety and autonomy. This study investigates the effectiveness of different machine learning (ML) models in predicting LOS and pLOS.Methods. We conducted a retrospective cohort study analyzing data from over 12,471 discharges from a northern Italian hospital between 2022 and 2023. Sixteen regression and fourteen classification algorithms were compared for predicting LOS as a continuous variable and as multi-class categories ("1-3 days", "4-10 days", "> 10 days"). The same models were evaluated for pLOS prediction, defined as any hospitalization exceeding 8 days. We analyzed two versions of the dataset: one containing only structured data (demographics, clinical information, and hospitalization details) and another incorporating features extracted from free-text diagnoses provided by clinicians. Only data readily available upon admission was utilized.Results. Ensemble models, combining multiple ML algorithms, achieved superior performance in predicting both LOS and pLOS compared to traditional single-algorithm models, particularly when utilizing both structured and unstructured data. Among the most influential features identified were the average LOS for same-service hospitalizations within the previous month, the number of recent transfers across wards, and the need for multidimensional geriatric assessment. Notably, incorporating text-embeddings from diagnoses led to improved results, especially in the presence of comorbidities.Discussion. Our findings provide evidence that integration of ML, particularly ensemble models, offers significant potential for improving LOS prediction and identifying patients at increased risk of pLOS, representing a helpful tool to guide healthcare professionals and bed managers in making informed decisions. Furthermore, this study underscores the importance of incorporating ML into hospital operations to address the challenges of an aging population with chronic diseases, while containing costs and streamlining patient flow, ultimately contributing to a more sustainable healthcare system.
A Structured Method for the Selection of Business Processes Suitable for Robotic Process Automation
Authors: Meyer Frederic , Hinrichsen Sven , Padoano Elio
Published: August 2024

As companies increasingly adopt software applications to improve business efficiency, often digitization gaps arise when legacy systems fail to integrate with new applications. These gaps often result in redundant task execution across incompatible systems. Robotic Process Automation (RPA) emerges as a solution by automating such tasks. However, selecting the right processes that will be subjected to RPA is crucial to avoid failures and resource waste. Therefore, this paper introduces a four-stage method to evaluate processes for RPA suitability, grounded on the Analytic Hierarchy Process (AHP). By systematically analyzing scientific literature and incorporating weights from RPA experts, this paper sheds light on the complex nature of process selection criteria for RPA. Tested in a company, the method facilitates the process selection, indicating its practical applicability.
Does it Feel Safer? A Pilot Study on the Stress Levels of Humans for Varied Robot Control Strategies and Collaboration Scenarios
Authors: Renz Heiko , Dargahi Nobari Khazar , Faizan Mohammed , Bertram Torsten
Published: August 2024

Human-robot collaboration is an essential factor in current industry and social applications. A key aspect of meaningful and effective collaboration is the safety of the human worker. Therefore, different objective metrics allow researchers to assess safety based on measurements like distance between humans and robots, speed of the robot, or force exerted by the robot. However, for an effective collaboration, objective safety metrics are essential, as well as the subjective perception of safety by the user. To investigate the subjective stress level of users during human-robot collaboration, we conducted a pilot study with 20 participants with varied control strategies and collaboration scenarios. Furthermore, a stress prediction model is proposed based on the collected data. The results show that the collaboration scenario significantly influences the subjective stress levels of users, and trends in the data indicate that the robot’s collision avoidance strategy also impacts stress levels. The proposed stress prediction model shows the potential to forecast the stress levels of users based on the collected data, enabling possible feedback options for different control solutions. However, further studies are required to investigate generalized stress prediction models for various collaboration scenarios and control strategies.
User experience assessment with high level autonomous vehicle console – a pilot test
Authors: Kirkici Hatice , Pedrosa Paulo , Carneiro Paula , Melo Sandra , Colim Ana
Published: August 2024

To gain broad approval, autonomous vehicles must not only be seen as practical but also as safe and effective. The interior design of both current and future vehicles is characterized by increasingly smooth and seamless surfaces. By integrating ergonomic design principles that prioritize the use of lightweight materials and aerodynamically efficient forms in autonomous vehicles, there is potential to reduce energy consumption, making a significant contribution to the overall sustainability of transportation systems. This study focuses on evaluating the user experience with an autonomous vehicle console prototype. The primary goal is to gain valuable insights into usability, efficiency, and overall user satisfaction regarding the console prototype. The participants engaged with the console interface in a controlled laboratory setting, with each interaction lasting less than 10 minutes. Initially, participants conducted a series of trial interactions with the autonomous vehicle's console, guided by the primary investigator, for a period of 3 minutes. Following this, they completed a questionnaire consisting of 12 items, including the System Usability Scale (SUS). It's worth noting that the majority of the participants, accounting for 60% of the total, were familiar with Level 3 and Level 4 autonomous vehicle concepts. The overall assessment score, determined through the System Usability Scale (SUS), reached an impressive 84.5. Consequently, the console prototype received a favorable verdict regarding its acceptability, further supported by an outstanding qualitative rating. In summary, the empirical findings collectively support the idea that the usability features of the autonomous vehicle console currently meet acceptable standards. Future research efforts will focus on an expanded participant pool, and center on the evaluation of haptic feedback, backlight effects, and capacitive touch sensations pertaining to the buttons.
Coupled passenger simulation to optimise the turnaround process and passenger flow.
Authors: Jung Martin , Rudolph Florian , Classen Axel
Published: August 2024

The turnaround process at an airport is a crucial part of flight operations. It is a precisely choreographed sequence of activities and events to ensure aircraft depart on schedule. The individual turnaround processes with passenger movements of boarding and deplaning play a pivotal role, as they are on the critical path of the turnaround. Delays in any of these processes have an immediate impact on the duration of the entire process. If the delay is long enough to cause the flight to miss its scheduled departure slot, the delay will increase even more as a new available slot must be allocated. This in turn will cause further delay. Nevertheless, individual processes in the terminal and within the aircraft cabin are already operating at their local optimum. Our approach is to couple a passenger flow simulation of an airport terminal with a boarding simulation of an aircraft cabin. Aim of this coupling is to investigate how possible developments and restrictions in one of these areas can affect the overall process of the passenger's travel chain. In addition, this coupled simulation can be used to asses, in the long term, whether measures that can already be prepared in the terminal can help make cabin boarding more efficient.For this purpose, we developed a toolbox to analyse and evaluate operational measures along the process chain of travelling at an airport. This paper covers the travel process from security checks to aircraft seat. For this purpose, we refined and coupled an earlier version of a simulation that only covered the airport security check area by adding typical boarding processes of a medium sized international airport. The model is based on a real European airport serving around 12 million passengers per year (as of 2019). The simulation model incorporates a new algorithm calculating the passenger density and contact rate for each passenger in terms of their time and space requirements. Based on the output of the simulations of the process chain in combination with our algorithm we can show the effectiveness of measures like social distancing and their consequences to minimize contact rates along travel processes at airports. The paper describes the modelling, the algorithm to calculate the passenger density and contact rate, as well as results and findings of the simulation runs. It will show how passenger density, capacity, waiting times and waiting space are affected. Finally, we depict the technical visualisation resulting from the coupling of the simulations. For this purpose, common interfaces are defined and parameterised in order to enable a standardized import to a downstream visualisation software. The holistic simulation is used to simulate a wide range of process optimisations and define their impact on the entire process.
Pengaruh Financial Pressure Dan Kebijakan Dividen Terhadap Perataan Laba
Authors: Amelia Amelia , Aprilia Erika Astriani
Published: August 2024

Penelitian ini bertujuan untuk mengetahui dan memberikan bukti empiris mengenai pengaruh financial pressure dan kebijakan dividen terhadap perataan laba pada Perusahaan Sektor Consumer Non Cyclicals yang terdaftar di Bursa Efek Indonesia. Periode penelitian ini adalah 2018-2022. Jenis penelitian ini adalah kuantitatif asosiatif dengan menggunakan data sekunder berupa annual report dari Bursa Efek Indonesia. Variabel Financial Pressure yang diukur dengan dua proksi yaitu ROA dan Leverage (DER), Kebijakan Dividen diukur dengan DPR dan Perataan Laba diukur dengan indeks eckel dengan skala Dummy. Penentuan sampel dalam penelitian ini menggunakan purposive sampling, diperoleh 23 perusahaan yang dijadikan sampel penelitian. Teknik analisis data yang digunakan adalah regresi logistik dan data diolah menggunakan aplikasi Eviews versi 12. Hasil penelitian ini menunjukkan bahwa (1) Financial Pressure dengan proksi ROA berpengaruh terhadap Perataan Laba, (2) Financial Pressure dengan proksi Leverage tidak berpengaruh terhadap Perataan Laba, (3) Kebijakan Dividen tidak berpengaruh terhadap perataan laba, (4) Financial Pressure dan Kebijakan Dividen secara bersama-sama berpengaruh signifikan terhadap Perataan laba.
The role of sales promotion in improving the relation between price perception and system quality of SVOD platform on purchase intention
Authors: Lembana Devi Angrahini Anni , Triyanti Vivi , Wijaya Jessica
Published: August 2024

This study aims to explore how Vidio.com can increase the number of users who are interested in even considering using this platform in the midst of fierce competition in theSVOD market, especially in Indonesia. The study was conducted from April to June 2023 and data collection took 1 month using a questionnaire method, namely Google Form which were distributed online to target respondents. The purpose of this research is to influence perceived price and perceived system quality in shaping consumer interest in subscribing to the SVOD platform - with a study on the Vidio platform. The results of this study indicate that the three variables under investigation have a major impact on users' intentions to subscribe to the platform (i.e., make a purchase). The impact of moderators between independent variables on dependents, specifically the influence of sales promotion methods can not enhance the relation of perceived pricing and perceived quality on ehancing the intention to purchase. Therefore, Vidio needs to pay attention to the performance of its application such as the speed of responding when users access features, the level of application errors or loading levels when the show is played, and privacy security, especially for users' personal data in order to provide a good user experience so that it can increase their interest in using the platform's paid packages.
Design and Implementation of Advance Real Time Parking System
Authors: Kumar Amresh , Kumar Deepak , . Akash , Dutta Dr. Bimal Raj
Published: August 2024

Effective parking facility management is critical to the functioning of urban infrastructure, but current systems frequently struggle to reliably identify occupants and neutralize possible threats. In this paper, we suggest a brand-new parking management strategy. The title is "Advanced Real-Time Parking System" . A strong parking management system with machine learning-based threat detection is presented in this paper. Three specialized models were created using YOLO v8 and trained on carefully selected datasets of 800, 800, and 600 images that included license plates, parking occupancy, fires, and explosions. By taking advantage of YOLO v8's flexibility, these models were designed with high detection accuracy in mind. The models underwent thorough training and validation before being smoothly incorporated into a single system that provided extensive surveillance capabilities. The evaluation showed a remarkable accuracy of 92%, demonstrating the effectiveness of the system in actual threat detection situations. This study highlights the potential of YOLO v8-based solutions to improve parking environments' safety and security, demonstrating their adaptability in tackling a range of security issues
Effect of Corporate Branding on Brand Loyalty with Emotional Attachment as an Intervening Variable among Millennial Consumers at the MS Glow Clinic Medan
Authors: . Fauziah , Rini Endang Sulistya , Situmorang Syafrizal Helmi
Published: August 2024

This research aims to analyze effect of corporate branding on brand loyalty with emotional attachment as an intervening variable among millennial consumers at the MS Glow Clinic Medan. This type of research is associative research with a quantitative analysis approach. The population in this study were Millennial MS Glow Clinic Medan consumers who had undergone treatment and made purchases more than twice. Sample size is the number of samples that will be taken from a population. The sampling technique is non-probability sampling with accidental sampling technique. The number of respondents who will be used as samples in this research is 184 respondents who are consumers of the Medan MS Glow Clinic who were selected according to the criteria. The analytical method used to test the significance test is structural equation modeling with a partial least squares approach. Based on the research results show that corporate associations has a positive and significant effect on emotional attachment. Corporate activities has a positive and significant effect on emotional attachment. Corporate values has a positive and significant effect on emotional attachment. Corporate personalities has a positive and significant effect on emotional attachment. Corporate associations has a positive and significant effect on brand loyalty. Corporate activities has a positive and insignificant effect on brand loyalty. Corporate values has a positive and insignificant effect on brand loyalty. Corporate personalities has a positive and significant effect on brand loyalty. Emotional attachment has a positive and significant effect on brand loyalty. Corporate associations has a positive and significant effect on brand loyalty through emotional attachment. Corporate activities has a positive and significant effect on brand loyalty through emotional attachment. Corporate values has a positive and significant effect on brand loyalty through emotional attachment. Corporate personalities has a positive and significant effect on brand loyalty through emotional attachment
Carnet de vaccination électronique dans la surveillance de la grossesse des femme enceintes du milieu rural de Korhogo en Côte d’ivoire : quelle stratégie de communication pour une vulgarisation ?
Authors:   Université Péléforo Gon Coulibaly de Korhogo, Côte d’Ivoire, Diarrassouba Mamadou
Published: August 2024

The electronic vaccination record in pregnancy monitoring for pregnant women in rural Côte d'Ivoire was the subject of this research. The aim was to develop a social communication strategy to promote acceptance and use of the electronic vaccination record by rural women. The methodology used to elucidate the problem combines both quantitative and qualitative approaches in order to capitalise on each. To this end, a questionnaire, a semi-structured individual interview guide and a focus group discussion were developed and administered to specific target groups. The use of Eicdarm's participatory communication model to raise awareness among target populations in rural areas about acceptance and use of the electronic immunisation record should help to increase the national immunisation coverage rate.
Les médias numériques face à l’actualité politique au Burkina Faso : cas du coup d’État du 24 janvier 22
Authors:   l’École Normale Supérieure (ENS) au Burkina, l Bagare Marce , Zongo Bouraiman ,   Université Joseph Ki-Zerbo (UJKZ) au Burkina
Published: August 2024

With the advent of the internet, the media will undergo profound changes in both form and content. This change is bringing about transformations in practitioners in the field. The professional practices of journalists and other content producers are increasingly shaped by the use of digital technologies. By using them on a daily basis, journalists are helping to build a new media landscape. The main aim of our research is to explore digital media practices marked by political events in Burkina Faso, namely the 'Coup d’état of 24 January 2022'. The aim is not only to question the treatment of information by these digital media with regard to the diversity of the actors who run them, but also to analyse the orientation of the content of the productions in terms of taking a stance in the face of a political event that undermines the democratic momentum relaunched in Burkina Faso in the wake of the popular uprising of 2014 and which guaranteed freedom of opinion to citizens and the media in general. Using a multi-method approach, a dual statistical and content analysis, the results obtained are presented in two parts. The first part provides a framework for the diversification of the information practices of the digital media in the processing of information, while the second part is structured around the link between digital media and political commitment.
Comparison Activity Test of Antioxidant of Water Extract Coffee Robusta (Coffea canephora) and Water Extract Coffee Arabica (Coffea arabica) with the Method DPPH (1,1-difenil-2-pikrilhidrazil)
Authors: Suprijono Agus ,   College of Pharmacy of Yayasan Pharmasi Semarang, Indriastuti Feni , Hesti WS A. Ariani ,   College of Pharmacy of Yayasan Pharmasi Semarang,   College of Pharmacy of Yayasan Pharmasi Semarang
Published: August 2024

Coffee is one of the beverage ingredients that is widely consumed by the public In Indonesia, there are many types of coffee, including robusta coffee and arabica coffee Both of these coffees have high antioxidant content including tocopherol, tannin, and clorogenic acid which are components of polyphenols. This research aims to determine the difference in antioxidant activity of robusta coffee water extract and arabica coffee water extract with a comparison of vitamin E comparator. The antioxidant activity test was carried out using the DPPH free radical capture method by visible spectrophotometry until an EC50 value was obtained. Robusta coffee water extract, Arabica coffee water extract, and vitamin E are made with a concentration of 0.2%; 0,4%; 0,6%; 0,8%; and 1.0%, and tested for antioxidant activity with 0.1mM DPPH solution. Extract making use of the solvent water because chlorogenic acid is soluble in water and does not resist heating, so that extracted by maceration for 5 days with the replacement solvent of every 24 hours. The extract is made using water solvents because chlorogenic acid in water and, so it is extracted by maceration for 5 days with solvent changes every 24 hours. The results showed that the average EC50 value of vitamin E was 85.9863 μg/ml, robusta coffee water extract was 95.0442 μg/ml, and Arabica coffee water extract was 106.7972 μg/ml Result of test ANOVA shows the price F count (83,736) > F is tables of ( 3,885) at α ( 0,05) meaning that there is significant difference in antioxidant activity between vitamin E, robusta coffee water extract and arabica coffee water extract. Based on the results of the research, it can be concluded that robusta coffee water extract and arabica coffee water extract have differences in antioxidant activity determined by the DPPH method. Robusta coffee water extract has greater antioxidant activity than arabica coffee water extract.
Versão brasileira da escala Physical Function in Critical Care (PACIFIC): tradução e adaptação transcultural
Authors: Menezes Gustavo Matos de , Guimarães Fernando Silva , Silveira Waleska da , Silva Lorena Carla Oliveira e , Prado Alana Santos do , Parry Selina Mary , Oliveira Luis Vicente Franco , Silva Vinícius Zacarias Maldaner da
Published: August 2024

Este estudo teve como objetivo traduzir e adaptar transculturalmente a escala, o manual explicativo e o vídeo demonstrativo da Physical Function in Critical Care (PaciFIC) para o português brasileiro, fornecendo uma ferramenta de avaliação funcional adequada para pacientes críticos durante sua trajetória hospitalar no Brasil. O estudo consistiu das seguintes etapas: tradução (T1 e T2), síntese da tradução inicial (T1-2), retrotradução e pré-teste. A tradução foi realizada por dois tradutores brasileiros bilíngues, seguida por uma retrotradução independente por dois tradutores nativos de inglês. Um comitê de 3 especialistas avaliou as versões e criou uma síntese em português. A adaptação cultural envolveu a aplicação de um pré-teste com 15 fisioterapeutas brasileiros que atuam no ambiente hospitalar para avaliar a clareza e equivalência das traduções. O Índice de Validade de Conteúdo (IVC) foi considerado válido se superior a 80%. Dos 29 itens avaliados, 18 (62%) alcançaram resultados válidos pelo IVC. Itens que não atingiram esse coeficiente foram revisados e ajustados pelo comitê para garantir a sua aplicabilidade. A versão adaptada da PaciFIC para língua portuguesa foi de fácil entendimento pelos profissionais e pode ser aplicada em ambiente crítico.
A influência da reposição hormonal no prognóstico de mulheres pós menopausa com doença arterial coronariana
Authors: Rabelo Felipe Henrique Pereira , Alves Ana Luise de Aguiar , Santos Dangilla Ribeiro dos , Rego Íris Carvalho , Linhares João Neto Cruz , Santo Cauã Leal do Espírito , Porfírio Danillo Monteiro
Published: August 2024

Neste artigo averiguou-se a efetividade da Terapia de Reposição Hormonal (TRH) na melhora do prognóstico da DAC em mulheres pós menopausa. Trata-se de uma revisão Sistemática de Literatura, com o intuito de definir nas bases de dados PUBMED, CENTRAL, Scielo e BVS, como a TRH pode influenciar no prognóstico de DAC em mulheres pós menopausa. Foram utilizadas as diretrizes do Preferred Reporting in Systematic Reviews and Meta-Analyses (PRISMA) e a ferramenta Rob 2.0 para avaliar o risco de viés. Os resultados divergiram sobre a ação da TRH na DAC em mulheres pós menopausa. Alguns estudos resultaram em aumento nas lipoproteínas de alta densidade (HDL) e diminuição nas lipoproteínas de baixa densidade (LDL) e de colesterol total. No restante das pesquisas, a TRH não provocou diferenças significativas nos níveis de lipídios e lipoproteínas, relatando efeitos mínimos ou inexistentes no aspecto clínico ou em reduções de complicações. Apesar de alguns estudos apresentarem efeitos benéficos, essa terapia ainda não pode ser aceita como plenamente eficaz devido a divergência de resultados em estudos randomizados. Dessa forma, torna-se necessária a realização de novos estudos, com a finalidade de se obterem provas justificadas sobre o papel da TRH na melhora da DAC.
Profile-based video design for motion graphics: a case study of the multimedia engineering technology study program at Boash Indonesia Digital Polytechnic
Authors: Rahayu Meita Sekar , Pohan Amir Hamzah , Khadijah Khadijah , Sanwasih Mochamad , NA Charmiyanti
Published: August 2024

A company profile is a detailed representation of a company, aimed at attracting customer attention and interest. Among the various forms of company profiles, video is one of the most effective. The Multimedia Engineering Technology Study Program at Boash Indonesia Digital Polytechnic (PDBI) currently lacks a profile video, which could serve as a significant promotional tool. This research aims to develop an informative and promotional medium in the form of a motion graphic-based profile video. The method employed is the Multimedia Development Life Cycle (MDLC). The resulting motion graphic-based profile video is designed to support promotional activities, presented in an educational and communicative manner to ensure effective delivery to the audience.
Trazando la internacionalización: El papel de los gestores universitarios en la Universidad de Sonora, México
Authors: Durand Villalobos Juan Pablo , Valencia González Romero Karla Alejandra
Published: August 2024

La internacionalización se identifica como una respuesta estratégica frente a la globalización. Ésta mejora la calidad educativa fomentando la innovación pedagógica, la investigación colaborativa y la movilidad académica. Además, genera nuevas fuentes de financiamiento, diversifica los ingresos y refuerza la sostenibilidad financiera de la institución. Este estudio se centró en los retos que enfrenta la Universidad de Sonora, México, en su proceso de internacionalización. Se enfatizó la función de los gestores universitarios para planear e implementar estas estrategias. Se realizó un análisis cualitativo para examinar cómo se adaptaron los modelos de internacionalización procedentes de otras regiones, y cómo se integraron en las políticas públicas nacionales. Además, se analizaron documentos institucionales correspondientes al periodo 1983-2023; y se aplicaron 20 entrevistas semiestructuradas. El estudio exploró las motivaciones, lógicas y estrategias empleadas por los gestores universitarios para integrar la dimensión internacional en la institución, desde la planificación curricular hasta la gestión de proyectos de investigación y la promoción de intercambios internacionales. Este trabajo ofrece una visión sobre cómo las políticas educativas interactúan con la gestión universitaria, abriendo un espacio para la reflexión crítica y el debate sobre los desafíos de la internacionalización en la educación superior mexicana.
Challenges and perspectives of democratic management
Authors: Batista Elizabete de Souza Santos , Oliveira Rosy Franca Silva , Pires Silvinia Pereira de Sousa , Furtado Carlos de Lima , de Carvalho Nilton Pinheiro , Martins Paulo Fernando , dos Santos George França
Published: August 2024

The study analyzes the challenges of implementing democratic management at CEJA Vila Nova, Araguaína, highlighting the importance of theory and practice in building effective management. It concludes that the search for effective citizen participation and transparency in educational administration is an ongoing challenge that demands constant reflection and action.