bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH INTELLECTUAL CAPITAL, GOOD CORPORATE GOVERNANCE, DAN CORPORATE SOCIAL RESPONSIBILITY TERHADAP NILAI PERUSAHAAN DENGAN DIMEDIASI OLEH PROFITABILITAS
Authors: Hafidh Ahmad Rizqi Pratama  , Vera Maria
Published: January 2024

A company is founded with the aim of increasing its value, as indicated by the share price. Complete and accurate information is needed for rational decision making to produce the desired results. Businesses can leak information that will increase their value to attract investors. As a result, businesses often release information they perceive as increasing their value, which can drive up their share price. This study aims to find out the effect of Intellectual Capital, Good Corporate Governance, and Corporate Social Responsibility on company value mediated by Profitability in real estate and property sector companies listed on the Indonesia Stock Exchange in 2017 - 2022. The results show that Intellectual Capital (IC) has a negative effect on Company Value, and Good Corporate Governance (GCG) has no effect on Company Value. Corporate Social Responsibility (CSR) has no effect on company value. Profitability has a positive effect on firm value. Intellectual Capital (IC) does not affect Profitability. Good Corporate Governance (GCG) harms profitability. Corporate Social Responsibility (ICSR) does not affect profitability. Profitability does not mediate the relationship between Intellectual Capital (IC) and Firm Value. Profitability does not mediate the relationship between Good Corporate Governance (GCG) and Corporate Values. Profitability does not mediate the relationship between Corporate Social Responsibility (CSR) and Company Value.
ASPEK YURIDIS (LANDASAN HUKUM) DAN DASAR HUKUM OPERASIONAL PERBANKAN SYARIAH DI INDONESIA
Authors: Emilia Hasanah  , Heri Sunandar  , Nur Nasrina
Published: January 2024

Legal Aspects of Sharia Banking Legislation, Law Number 21 of 2008, in terms of judicial philosophy and Sociological basically a sense of Justice has addressed the needs of the Islamic Ummah as a consequence of legal pluralism live and grow in the dynamics of Indonesian society. While from the juridical formalistic approach through the legal umbrella Act No.3 of 2006 and Act No. 4 of 2004 its implementation requires a judge in creating and upholding justice, should know and understand the aspirations and values of living in society and orientation, which should put forward justice together with the orientation of legal certainty and expediency.
Editorial Revista de la Universidad 2023
Authors: Mejía Herrera Mario Hernán
Published: January 2024

La Revista de la Universidad avanza en esta nueva época y busca consolidarse como una revista académica que expresa el quehacer de la Universidad en sus funciones sustantivas ligadas a la docencia, la investigación y la vinculación universidad-sociedad, además de la gestión cultural y del conocimiento como áreas estratégicas de la vida académica.
Displasia periapical cemento ósea florida. Reporte de caso
Authors: Reyes Aroca Emily Nineth , Rubio Midence Ana Bertha , Ramos Ynestroza Jorge Carlos
Published: January 2024

Las displasias periapicales cemento óseas son neoplasias formadoras de tejido conectivo, hueso y material similar al cemento, esta patología tiene ciertas características que la llevan a la dificultad del diagnóstico definitivo. En este reporte de caso se realizó un estudio radiográfico e histopatológico con su respectivo tratamiento conservador y no conservador.
Álvaro Canales: exposición en la Universidad Nacional Autónoma de Honduras, 1970
Authors: Canales Álvaro
Published: January 2024

El día martes 19 de mayo del año 1970, la Universidad Nacional Autónoma de Honduras a través de la Dirección de Extensión Universitaria inauguró en el Edificio de Bibliotecas en la Ciudad Universitaria José Trinidad Reyes en Tegucigalpa la exposición de 21 obras del artista Canales. El entonces rector Cecilio Zelaya Lozano giraría la invitación e inauguraría la muestra acompañado de autoridades universitarias, docentes, alumnos, artistas y personalidades de la vida cultural de la ciudad.
Gelasio Giménez. 1923-2023. Primer centenario de su nacimiento
Authors: Giménez Gelasio
Published: January 2024

Esta es una pequeña reseña del Artista plástico de origen cubano que se radicó y nacionalizó en Honduras, maestro y pintor, su obra prolífica se encuentra en distintos países de América y Europa.
Prefacio. El legado de la obra plástica
Authors: Calderón Padilla Rutilia
Published: January 2024

Este es un escrito hecho por la Dra. Rutilia Calderón Padilla dirigido a él artista plástico Ezequiel Padilla Ayestas que busca reconocer la trascendencia de la vida y obra de uno de los más representativos artistas plásticos de nuestra nación.
Hermano contra hermano: la guerra civil de 1924
Authors: Argueta Mario
Published: January 2024

Analiza los antecedentes de la guerra civil de 1924 y la manera como se desarrolló hasta culminar con el cambio de régimen y la elección de un presidente provisional, escogido por la diplomacia estadounidense. Se hace referencia a los protagonistas principales de esta guerra fratricida, la más sangrienta en la historia política y militar de Honduras.
La verdad del Panamericanismo
Authors: Guillen Zelaya Alfonso
Published: January 2024

Relato de Alfonzo Guillén Zelaya en Boletín de la Defensa Nacional. Miércoles 26 de marzo de 1924. No. 6. Tegucigalpa: Editado por Froylán Turcios. p. 1 Una transcripción conexa a la tematica enmarcada de la guerra civil de 1924.
Aproximación a la génesis de los Elementos de Matemática de Benito Bails
Authors: Martínez Verdú Domingo
Published: January 2024

Durante el siglo XVIII español se produjo un proceso de renovación en los campos de la ciencia y de la tecnología. En este contexto, la Real Academia de Bellas Artes de San Fernando desempeñó un papel modernizador clave en la organización de la formación en las Tres Nobles Artes. Este trabajo se centra en analizar y aportar evidencias sobre las iniciativas que la institución académica llevó a cabo para elaborar tratados matemáticos que proporcionasen una sólida base científica y técnica a sus discípulos. El análisis concluye que el paso dado en 1752 para elaborar un cuaderno de geometría culminaría, dos décadas más tarde, en el curso matemático de Benito Bails (1731-1797), quien compuso una de las obras de carácter enciclopédico más influyentes de la Ilustración española.
Old Age Homes: Vital in Promoting Well-being and Goodwill of Senior Citizens
Authors:   Pedagogy and Organizational Culture in Nursery  Schools, Delhi University, New Delhi, India., Kapur Dr. Radhika
Published: January 2024

The individuals, belonging to all communities do not feel pleasurable and contented in some cases living with their elderly family members. They consider them as liabilities. They form the viewpoint that these individuals will interfere in their lives, hence, they send them to old age homes. This is unfortunate that when family members do not get along with each other, senior citizens go to old age homes. Within these homes, there are occurrences of various types of amenities and facilities, which are facilitating in leading to up-gradation of overall living conditions of individuals. The individuals, who are employed, are required to be well-versed in terms of their job duties and responsibilities. Furthermore, they are required to be well-equipped in terms of different types of methodologies and procedures, which are facilitating in doing well in one’s tasks and activities. The primary objective of all old age homes is to promote well-being and goodwill of senior citizens. The individuals in old age are overwhelmed by different types of health problems and illnesses, hence, there are provision of medical and health care facilities as well. Furthermore, they are experiencing the psychological problems of anger, stress, anxiety, frustration and depression. For this purpose, they are required to obtain counseling and guidance services. These are facilitating in promoting a normal mind-set and coping with different types of psychological problems in a satisfactory manner. Therefore, old age homes are vital in promoting well-being and goodwill of senior citizens. The main concepts that are taken into account in this research paper are, understanding the meaning and significance of old age homes, factors highlighting the living conditions of individuals in old age homes and experiences of senior citizens in old age homes.
Latissimus dorsi transfer for massive irreparable rotator cuff tears
Authors:   , Gurnani Navin
Published: January 2024

Summary

The main aim of this thesis was to gain more insight in shoulder kinematics and muscle activation patterns after a latissimus dorsi transfer (LDT) in patients with a massive irreparable posterosuperior rotator cuff tear (MIRT). Part 1 includes treatment options for the repairable and irreparable rotator cuff tear and part 2 is specifically on the LDT for an MIRT. Chapter 1 presents the general introduction on the rotator cuff tear and its reparability.
If considered repairable, primary repair can be achieved by different surgical techniques. Moreover, several concomitant procedures may be performed as adjunct to the rotator cuff repair. These techniques and concomitant procedures are described in the review article presented in chapter 2. A systematic review and meta-analysis reporting clinical outcome after primary cuff repair techniques, concomitant surgical procedures and aftercare is presented in chapter 3. Treatment options for irreparable posterosuperior rotator cuff tears are reported and compared in a systematic review and meta-analysis in chapter 4. The LDT is a well-known and viable treatment option for an MIRT. However, the mode of function is yet to be understood. 3-Dimensional shoulder kinematics and muscle activation patterns after an LDT for an MIRT are presented in chapter 5 and compared to the asymptomatic contralateral shoulder (ACS). The change in shoulder kinematics after an LDT is achieved by reprogramming activation in the muscles that are responsible for active shoulder elevation. Shoulder muscle activation patterns in active shoulder elevation were reported after an LDT and compared to the ACS in chapter 6. Although long-term good results after an LDT are reported, failure is not uncommon. To determine the type of failure after LDT, the intra and interobserver agreement after LDT with MRI was assessed in chapter 7. The thesis concludes with a general discussion in chapter 8.
Interdisciplinary Approaches to Learning Informatics
Authors: Kunigami Masaaki
Published: January 2024

This paper discusses new challenges in learning informatics from an interdisciplinary perspective. As topics of learning informatics must cover very wide ranges, this paper will provide an overview with a combination of several ideas and applications. From a methodological point of view, the challenges include the concepts of 'knowledge networks', 'learner personas', and 'visualization of the experience'. From the viewpoints of educational applications, they contain the concepts of 'class design', 'peer review' and 'case learning'. The introduction of various concepts from fields such as computer sciences, marketing research, and design thinking of soft systems domains, whose areas are far from education applications, would add new insights to learning informatics research.
Advancing Entrepreneurship Education: An Integrated Approach to Empowering Future Innovators
Authors: Oberer Birgit , Erkollar Alptekin
Published: January 2024

Entrepreneurship plays a central role in driving economic growth and fostering innovation worldwide. As the business landscape becomes increasingly dynamic and competitive, the need for effective entrepreneurship education has never been more critical. This paper presents an integrated framework for entrepreneurship education that addresses the limitations of traditional approaches and aims to equip aspiring entrepreneurs with the necessary mindset, skills, and ecosystem engagement to thrive in the ever-evolving entrepreneurial landscape. The framework focuses on mindset development, skills acquisition, and ecosystem engagement as essential pillars for empowering and nurturing future innovators, contributing to the advancement of entrepreneurship education and the cultivation of a new generation of successful entrepreneurs and innovators.
How Do Students Learn Artificial Intelligence in Interdisciplinary Field of Biomedical Engineering?
Authors: Hashimoto Shigehiro
Published: January 2024

The Artificial Intelligence (AI) research field is interdisciplinary. In this research, based on students' understanding of the current situation, AI is considered in relation to biomedical engineering, which is one of the interdisciplinary fields. Students expected the effectiveness of AI for society while having ethical and security concerns. Along with the increase in communication speed with large memory capacity and networking, many results have been obtained in the field of biomedical engineering: decoding DNA base sequences and digitizing medical images. On the other hand, security issues are being discussed in information networks: handling of personal genetic information. AI is expected to be used as a means of interdisciplinary communication: interdisciplinary participation is desirable. In the future, attitudes about using AI may become one of the main principles of human society.
Ways to improve the reliability of gas supply systems
Authors: Seksenbay Mukhamedjan Zh. , Kabdushev Arman  A. , Kozhas Olzhas O.
Published: January 2024

Background: The concept of reliability of gas distribution systems implies the possibility of reliable transportation of the required amount of gas to the consumer in compliance with the specified parameters in normal operation for a certain period of time.
Aim: The peculiarity of gas distribution networks is that they are long-term planning systems, with the growth of cities and the connection of consumers, the radius of their impact increases, expands, rebuilds, worn-out nodes and elements are replaced with new ones. The main goal at this stage of operation is the absence of significant reconstruction measures to improve the reliability of the system.
Materials and methods: Work has been carried out to analyze the probability of triggering, the failure rate and the probability of failures of gas supply systems for single indicators.
Results: To ensure the reliability and durability of gas boilers during replacement, the following 8 different measures were proposed.
Conclusion: The article proposes a closed circuit, the introduction of network redundancy in the system by ringing or duplicating elements and considers the social nature of gas distribution systems.
Monitoring and elimination of intercasing pressure
Authors: Kabdushev Arman A. , Bajmahanov Abilkassim  E. , Agzamov Farit A. , Daribayev Yuldashbay A. , Betzhanova Aizhan Z.
Published: January 2024

Background: The appearance of intercasing pressure in many cases is associated with inadequate quality of primary cementing. Despite the fact that many studies are aimed at preventing problems of primary cementing, at improving the quality of well completion, it should be noted that the problem of intercasing pressure at existing gas and gas condensate wells is increasing.
Aim: The purpose of this work is to study and eliminate wells with intercasing pressure at the Amangeldy gas condensate field.
Materials and methods: This paper presents the procedure for preparing the well and carrying out the elimination of intercasing pressure, as well as the chemical components of cementing slurry.
Results: The conducted studies and measures on wells No.121; No.105; No.103 and No.101 showed a positive result and the effectiveness of the composition of cementing slurry.
Conclusion: The presented technology for the elimination of intercasing pressure and the composition of the cementing slurry can be widely used in many fields of Kazakhstan.
New approaches to determine the technological challenged of oil fields at the late stage of development
Authors: Zhetruov Zhassulan T. , Khassanov Bakytzhan K. , Nugmanov Zhanibek K.
Published: January 2024

Background: The main problem of the process of field development in the later stages is the limitation of free funds associated with the decline in production and the corresponding decrease in the profitable part of enterprises. At the same time, the accumulated effect of critical production problems is manifested, for the solution of which in practice a significant amount of capital investments is required in different areas of field development.
The late stage of development of fields is associated with a number of problems, the main of which are the deterioration of the structure of the reserves and the slow pace of their replenishment, low withdrawal rates and high water cut, frequent failure of ground equipment, technological limitations of the production infrastructure, the quality of construction and completion of wells, a short turnaround time of production wells affecting the wells’ operation coefficient, and insufficient coverage of production processes with digitalization.
Aim: Considering the large amount of work involved in the oil production process (from geology to onshore infrastructure), an internal benchmarking analytical tool is needed to identify current and most common technological challenges, to focus scientific, technical and production personnel in a certain direction and develop a systematic approach to solving production problems. The purpose of this work is to develop such a tool
Materials and methods: As the input data, historical data on the production, hydrocarbons reserves, the current technological parameters of underground and surface equipment of 12 oil fields of the group of the NK “Kazmunaygaz” JSC companies were used. 17 basic criteria were formed in the areas of geology, development, oil production, drilling and infrastructure, which served as the basis for internal benchmarking of oil fields.
Results: As a result of this work, a tool was developed for the diagnosis of key production problems of KMG oil fields. The diagnostic chart is effective for determining zones of the spread of production problems both in one oil field and in all oil fields of KMG. This approach can be scaled to the level of oil fields and horizons.
Conclusion: The developed internal benchmarking tool serves as the basis for the annual analysis of key problems of the oil fields of the group of the NC “KazMunaygaz” JSC companies and the formation of a long -term plan to solve key production challenges.
Requirements for Haptic Virtual Training Systems in the Automotive Industry
Authors: Preutenborbeck Michael , Wolf- Monheim Friedrich , Carey Eilís , Canu Pasquale , Daniel Herzberger Nicolas , Flemisch Frank
Published: January 2024

Due to challenges associated with the speed of change and the variety of products, assembly training is becoming more and more important. Virtual reality (VR) can improve training processes but is largely limited to visual and auditory feedback. Manual assembly tasks are difficult to train only with visual and auditory feedback. Haptic-enhanced assembly systems can bridge this gap by enabling haptic interaction in the virtual environment. Integrating haptics into virtual training can improve virtual training processes in terms of a better understanding of assembly operations. This paper aims to analyze human and technological requirements for training systems in the context of the automotive industry. For this purpose, a qualitative expert study was conducted with nine experts from the automotive industry. Based on an interview guideline, requirements were derived for the assembly training system and the integration of haptic interaction modalities. A focus group discussion was conducted to evaluate and validate the requirements in terms of relevance and practicality.
Exploring External Human Machine Interface Design for Autonomous Vehicle to Pedestrian Communication: Insights from Discussions and Drawing Sessions
Authors: Alhawiti Ali , Kwigizile Valerian , Oh Jun-seok , D Asher Zachary , Hakimi Obaidullah
Published: January 2024

The development of an effective external Human-Machine Interface (eHMI) for autonomous vehicles (AVs) is crucial for safe interaction with their environment. However, most current eHMI concepts are designed for one-to-one interaction and fail to consider complex interactions with multiple road users. To address this need, we conducted two focus group discussions and drawing sessions to gather participants’ feedback about AVs communication in mixed traffic situations and to come up with design ideas for eHMIs. In focus groups, eleven participants expressed mixed opinions about AVs, some of which were optimistic about their potential benefits, while others expressed skepticism about their accuracy and safety. All of the participants expressed a desire for clear communication from AVs, including information about the AV's mode, intention, surroundings detection, and advising. The participants also discussed the criteria for designing effective eHMIs, emphasizing the importance of simplicity, clarity, visibility, and not directing messages to specific individuals. In drawing sessions, participants generated 31 designs, with symbol modality being the most common. Multiple modalities were used more frequently in the designs, with text and symbol being the most common combination. Radiator grilles and windshields were the most popular display locations. Advice to pedestrians was the most frequently provided information type in the designs. Participants preferred using fewer information types in their designs, with most designs utilizing just one or two information types per display. Overall, this work provides valuable insights and guidance for the design, standardization, regulation, and overall development of eHMIs that is currently ongoing.
3D Reconstruction Method Using A Pendulum RGB-D Camera
Authors: Futagami Shigeaki , Ueda Kimi , Ishii Hirotake , Shimoda Hiroshi
Published: January 2024

3D models are used in various fields to reproduce the real environment in a virtual world, such as assessing conditions at construction sites, sharing blueprints and other data, and disaster experiences using Virtual Reality. Various methods have been developed to create 3D models of real environments, including methods using laser scanners and cameras. The method using a laser scanner can create an accurate 3D model, but the equipment is expensive and not easy to use. On the other hand, the method of using a camera is less accurate than a laser scanner, but it is less expensive and easier to use. In the camera-based method, the pose, which encompasses the 3D coordinates of the camera and its orientation at the moment the image was acquired, is estimated through image processing. Then, a 3D model can be created based on the estimated camera poses. In this method, it is difficult to estimate the camera poses from images with few image features. Therefore, in regions with few features, such as flat walls of a single color, it is difficult to reconstruct the 3D model.In this study, camera poses are estimated using the camera moving as a pendulum and using these poses to create a 3D model. The camera is attached at the end of a pendulum so that the camera motion can be physically modeled, and the trajectory of the camera can be accurately estimated. In this method, the environment is first photographed using a pendulum camera in which an RGB-D camera is used for the weight of the pendulum. Then, tracking is performed to estimate the part of the pendulum motion using clear images that represents the area with enough features. Next, the fulcrum position and length of the pendulum are estimated using the tracking results. The fulcrum position and the length are then used to estimate the camera poses for all images by the pendulum physical model. Finally, the camera poses are used to perform a 3D reconstruction of the captured environment. To evaluate the effectiveness of this method, the 3D models created with and without the proposed method were compared from two perspectives: the size of the area that could be reconstructed and the accuracy of the 3D models created. As a result, the proposed method was able to reconstruct the 3D model even in regions where enough features cannot be obtained from the images. However, the model created with the proposed method displays the subject shifted from frame to frame compared to the model created without the proposed method. This is supposed to be due to the fact that the calculated camera poses were not accurate enough because the estimated length of the pendulum included an error. Future work is needed to further improve the accuracy of the camera pose estimation in order to improve the accuracy of the model. Other possibilities include extending the shooting range by conducting cooperative photography with multiple cameras.
Development of a Video Game for Cognitive Stimulation in Early-Stage Alzheimer's Disease
Authors: Mateus Sandra , Giraldo Jorge , Ramírez Daniel , Ramos Claudia
Published: January 2024

In this research, a videogame was developed using Unity and WebGL as a cognitive stimulation strategy for patients with early-stage Alzheimer's disease. The process of construction of the videogame, began with the definition of cognitive needs and patient characteristics, obtained through literature review and interviews with experts. The interviews were focused on the following skills: the memory, the attention, the executive function, and the problem solving. These skills can be positively impacted with videogames and are detailed according to their degree of impairment in Alzheimer's disease.Next, the story and conceptual methodology of the videogame were identified with a literature review: achieving a certain degree of personalization according to the patient's context, inclusion of rhythmic music that accompanies the player's experience, and adaptation of different difficulty levels based on each patient. The videogame is conceptually categorized as a Serious Game and was created with a Game Design Document (GDD) specifying the dynamics and mechanisms of the game. Following, the video game was development using Unity and WebGL framework.The video game starts with the player entering the mini world, placing the user in the scenario of the initial route, which aims to perform a basic diagnosis of the player's weakest skills. After, the central cycle begins, which involves exploring the world in search of mini games that can be either completed or failed. Completing all the mini games in the scenario is unlocked.Based on the psychiatrist's indications with respect to the validation of previous tools, the recommendation to carry out individualized sessions for each patient together with their caregiver was accepted, since carrying out a joint session with all the patients could make it difficult. Each session with the patient and their caregiver lasted one hour, in which they interacted with the platform and the videogame while they were recorded by voice and video, applying the Thinking Aloud methodology.Finally, the patients expressed ease of use the videogame, even for those who had never used a computer, in addition to considering it entertaining, an element that the caregivers confirmed when they perceived interest in the patients at the time of the test, a factor that contributes to adherence to treatment.
The effect of visual and auditory channel interaction on cognitive performance in online education
Authors: Sun Yingliang , Wu Wenyu , Zhu Ke , Huang Hao , Guo Jiayu , Li Yilian
Published: January 2024

With the arrival of the multimedia era, online education has become one of the main teaching modes. At the same time, the presentation of learning materials has become more diversified, and the interaction mode has gradually developed in the direction of multimodality. According to multichannel cognitive theory and multimedia cognitive theory, human can process information from different channels at the same time, but due to limited cognitive resources, inappropriate content presentation and interaction methods can cause extra load, which will affect learning efficiency. In this paper, we design an experiment to investigate the effects of the visual and auditory channels, as well as the audio-visual channel on people's learning efficiency by presenting and delivering learning information in different ways. The result shows that learning through audio-visual channel is the most efficient interaction method, and learning through a single auditory channel is the least efficient method.
The role of digital twins in the certification of the Advanced Air Mobility (AAM) systems
Authors: Ziakkas Dimitrios , St-hilaire Marc , Pechlivanis Konstantinos
Published: January 2024

AAM (Advanced Air Mobility) is an emerging field in aviation that concentrates on developing AAM/electric vertical takeoff and landing (eVTOL) aircraft for urban air mobility. AAM can use human-centered design to provide an advanced emerging environment of the eVTOL aircraft and its operating environment, allowing for a more efficient and cost-effective development process – concentrating on human factors/ergonomics, training, certification, and qualification. According to the EASA Artificial Intelligence Roadmap (EASA, 2023a), industrial actors expect the first crew assistance/augmentation developments in 2022–2025. Automation will gradually ramp up to human/machine collaboration between 2025 and 2030, culminating with human supervision or fully autonomous systems the year 2035 after. To achieve those milestones, the EASA guidance for Machine Learning proposal (EASA, 2023b) for Level 1 Artificial Intelligence (assisting humans) and Level 2 Artificial Intelligence (human-machine collaboration) aims to proactively address forthcoming EASA guidelines and safety standards about machine learning (ML) applications with safety implications. It guides applicants who incorporate AI/ML technologies into systems designed for safety or environmental purposes.Moreover, it provides guidelines covering the following building blocks that lead to Trustworthy AI: AI Trustworthiness Analysis, AI Assurance, Human Factors for AI, and AI Safety Risk Mitigation. CAE - Purdue proposes a research case study for digital twins in AAM that targets designing and remote testing prototypes - eVTOL aircraft simulator devices. By creating a digital twin of the AAM flying/simulator device, designers (Purdue Human Factors team – CAE network) and Subject Matter Experts (SMEs) aim to test different configurations and scenarios. This allows the research team to identify human factor – certification challenges before building the physical prototype. The Artificial Intelligence (AI) research roadmap of the Purdue School of Aviation and Transportation Technology (SATT) focuses on the potential to increase the effectiveness and efficiency of AAM design by providing a realistic and immersive experience (lean process for training/certification, transition to A.I. - AAM environment). In addition, this study concentrates on mitigating residual risk in the 'AI black box.' The Artificial Intelligence (AI) certification outcomes and learning assurance challenges were analyzed and evaluated.
Evaluation of Styling Design of Heavy-duty Industrial Robots Based on Comprehensive Integration Weighting Method
Authors: Li Mingqi , Sun Beibei
Published: January 2024

This paper proposes a method for evaluating and screening the appearance design solutions of industrial robots. Firstly, the kansei engineering theory and KJ method is used to collect users' perceptual imagery vocabulary of the appearance of industrial robots, which is used as the evaluation indexes of the appearance design solutions. Secondly, the analytic hierarchy process is used to construct a hierarchical structure to calculate the subjective weights of the 12 evaluation indexes. Thirdly, the entropy weight method is introduced to calculate the objective weights of the 12 evaluation indexes, because the subjective weights reflect the designer's degree of emphasis on the 12 evaluation indexes instead of the actual needs of the users. Finally, the combined weights are calculated using the comprehensive integration weighting method. In order to obtain the scores of the three schemes for each indicator and to weight them to obtain a composite score for each scheme, the questionnaire survey method is used. This study shows that the appearance scheme evaluation and screening method using comprehensive integrated weighting method to calculate the weights of evaluation indexes and weight them to get the total score of each scheme can be applied in the field of appearance design of heavy-duty industrial robots, which can provide a reference for the evaluation of appearance schemes of other types of industrial robots.
Team Effectiveness of Higher Education Students through Project-based and Agile Education for Sustainable Development
Authors: Karampa Vasiliki , Paraskeva Foteini
Published: January 2024

Agile methodologies derived from software development are today successfully applied in educational contexts as they provide a robust description of process workflows in team-based learning. It appears that the Agile Scrum model enhances team effectiveness, particularly focusing on teamwork and team interaction, which indicate effective collaboration. Agile methodologies further help learners develop sustainability competences because they reflect the current fast-paced and dynamically changing processes of our world. As Higher Education (HE) students are at the threshold of their careers, it is essential to strengthen soft skills beyond their academic subject. On these grounds, this study attempts to evaluate team effectiveness through the participation of 63 higher education students in an e-course, designed and developed according to the processes of the Scrum model appropriately embedded in Project-Based Learning (PjBL). Students were divided into small teams to provide sustainable smart solutions for their city, contributing to UNESCO's Global Goal 11 for Sustainable Development. Team effectiveness was assessed employing the "Big Five" framework. A questionnaire of 18 questions (Likert scale 1-5) was distributed to the students after the processes of the Agile Scrum. Initial results appear to be encouraging and motivating for authors to conduct further research.
Fostering Student Creativity: A Curriculum Proposal in the Context of "Innovation and Entrepreneurship" and "Double Reduction" Policies
Authors: Huang Ruonan , Li Bowen , Zhang Jingjing , Ohashi Takumi , Chen Y , Ma Jing , Wang Zi , Zhang Mengyi , Yu Ruilu , Qiu Dan , Liu Yiyang , Zou Z , Liu Wei
Published: January 2024

In today's fast-paced society, innovation is the engine of progress, and education must evolve to foster creativity and practical skills in students. Traditional exam-focused systems hinder creativity while existing maker education inadequately nurtures innate creativity. The "Empathy Design Thinking" plan addresses these gaps by combining research and pedagogical methods, moving away from exams, and implementing diverse teaching strategies. It also focuses on equipping teachers with the right resources and training. To validate its effectiveness, a 12-week pilot will monitor 60 students, comparing their creativity before and after the program using the Williams Creativity Tendency Scale. Another group of 60 students will serve as a control for comparison. With institutional support from Beijing Normal University, the plan aims to not only enhance student creativity but also fine-tune the "Empathy Design Thinking" methodology for broader implementation.
APPEND: A Blockchain-Based Model of Digital Product Passport for Furniture Industry
Authors: Dalipi Fisnik , Kurti Arianit , Ferati Mexhid
Published: January 2024

The digital product passport has been introduced as a policy instrument to enable traceability throughout the product life cycle and to support a circular economy. Anyhow, as a relatively new concept, there are a lot of uncertainties throughout the industrial landscape regarding the challenges and opportunities it brings. One such branch of industry is the furniture sector. In this paper, we present a DPP solution for furniture sector based on blockchain technology and inspired by a design thinking mindset. Through a prototype implementation, we highlight the key aspects such as data governance, stakeholder constellation, data interoperability, and data integrity that have significant research potential. Furthermore, we discuss these key concepts of DPP through the lens of eco-design principles in order to promote sustainability, improve energy efficiency, and protect the environment.
TauchiGPT_V2: An Offline Agent-based Opensource AI Tool designed to Assist in Academic Research
Authors: Farooq Ahmed , Kangas Jari , Ziat Mounia , Raisamo Roope
Published: January 2024

Recent progress in artificial intelligence, particularly deep learning, has ushered in a new era of autonomously generated content spanning text, audio, and visuals. This means Large Language Models (LLMs) such as ChatGPT, Llama2, Claude, and PaLM 2 are now developed enough to not only fill in the gaps within user-generated content, but also create unique content of their own, using predefined styles, formats, and writing techniques. With selective modelling and fine-tuning relevant training data, LLMs can output original content for a wide range of tasks previously considered solely the domain of human creativity. However, if we look at the area of research and development within academics, this AI renaissance has yet to make a meaningful impact finding in the pedagogical domains. Crafting a tailored R&D instrument, adept at intricate research procedures, previously presented a formidable challenge regarding expertise, time, and fiscal resources. However, the latest development Within this context, Generative Pre-trained Transformers (GPT) and their foundational structures offer a beacon, given their potential to exploit pre-trained Large Language Models (LLMs) for optimizing standard research operations. Our previous work on Autonomous Agents shows that using existing tools and deductive reasoning techniques built on the LangChain model can create a customized tool for academic research. This study builds on the existing work in autonomous agents and open-source LLMs to develop TAUCHI-GPT_V2, a novel adaptation of the academic research assistant. TAUCHI-GPT_V2, conceptualized as an open-source initiative, is built on top of the LangChain architecture employing LLaMA2-13b as the core LLM, ingesting users’ own data and files to provide highly relevant contextual results. In this paper, we discuss how TAUCHI-GPT_V2 uses custom offline localized vectorDB for parsing users’ personal files to output relevant contextual results within a chat interface. We also put the model to the test by having academic researchers utilize the tool within their daily workflow and report its efficacy and reliability in both hallucinations as well as citing relevant information to enhance user workflow for academic research-related tasks.
Integrating Generative AI into the Design Process: A Case Study on Space Engineering
Authors: Amin Kuhail Mohammad , Berengueres Jose , Taher Fatma , Khan Sana
Published: January 2024

Developing a product that satisfies certain standards follows a methodical approach known as the design process. It involves multiple phases of requirement elicitation, analysis, conceptualization, and evaluation. Generative Artificial Intelligence (AI) tools like ChatGPT have impacted the design process in various engineering fields, but there is limited research on how to integrate AI tools into the design process effectively. In a case study, we used ChatGPT to design an innovative object - a space boot with haptic technology. We explored various prompt methods and found that the process is iterative, requiring multiple adjustments to the prompts. This research paper highlights the design process and its evaluation methods, discusses its limitations, and provides a plan for future improvements.
Artificial Intelligence-Derived Clinical Reports For Multidisciplinary Health Education: A Preliminary Approach
Authors: Bittencourt Machado Christiano
Published: January 2024

Health education is a pivotal component in promoting overall well-being and preventing various diseases. With the rapid advancement of technology, particularly in the field of artificial intelligence (AI), health education is undergoing a transformation. This project aims at using artificial intelligence to generate clinical cases for multidisciplinary health students on a higher education institution. A large language model (LLM) known as OpenAI's ChatGPT (Generative Pretrained Transformer; OpenAI) is proposed to generate clinical case reports in several medical areas. For a more realistic insight about the reports, Fotor (an online platform for photo editing) was used to provide AI-generated images of each patient. By means of this AI tool, it is possible to generate clinical case reports containing the following information: patient’s main sociodemographic data, main complaint pathology (clinical diagnosis), history of previous illness etc. Further research aims at assessing quality and applicability of these data for health students.
Immersive Innovation: Bridging Digital Design and Virtual Realities in Jewellery
Authors: Tenuta Livia , Testa Susanna , Rossato Beatrice
Published: January 2024

The paper presents the results of the workshop "Utopia: Jewelry Beyond the Body," held at the School of Design of the Politecnico di Milano as part of the Master degree program with the aim to develop an innovative design methodology for future creatives. The workshop's main objective was to explore the process of designing a virtual jewelry collection conceived to be worn and experienced in the digital world. The paper describes the workshop's deifferent stages of the methodology, with a specific focus on the use of Artificial Intelligence for the ideation phase, and the creation of a virtual exhibition hosted on Spatial.io, in the final stage.First, the paper addresses the context of the workshop. The jewelry and fashion fields have undergone a profound transformation, with a gradual shift from tangible, physical interactions to the dematerialized domain of the virtual. The pervasive integration of digital technology has affected the entire value chain of these sectors, from design practices to distribution consumptions. Considering this change, the work highlights the need to explore digital manifestations of tangible products and experiment with spaces of digital co-creation. Then the contribution focuses on the methodology implemented in the workshop, integrating digital technologies, such as virtual reality and artificial intelligence.Finally, the document presents the experience's outputs with quantitative and qualitative results. The results provide insights into the effectiveness of the design methodology, highlighting the impact of the research conducted.Furthermore, the experience is evaluated with a focus on the possibilities that can be obtained merging jewellery design and virtual exhibition practices.The "Utopia: Jewelry Beyond the Body" workshop represents an initiative between jewelry design, digital innovation, and academic pedagogy. By describing the workshop's evolving context, methodology, and results, this article contributes to a deeper understanding of the relationship between digital technology, design creativity, and the evolution of the jewelry industry.
Hybridization possibilities of two approaches: Participatory Design and User-Centered Design
Authors: Ferati Mexhid , Kurti Arianit
Published: January 2024

Participatory Design and User-Centered Design are two approaches commonly used when designing solutions. Both approaches involve users, albeit to a different degree across different phases of the design process. The recent shift enforced by COVID-19, brought the need that more activities are expected to be conducted online. In these circumstances, there are adaptation challenges in both approaches, especially for the Participatory Design. Technology mediation in the activities in both approaches brings overhead that makes the changes between them less obvious. Thus, in this paper we bring up for discussion a discourse of hybridization of these approaches as a way forward for online and distributed design processes. Furthermore, we present our initial thoughts regarding the possibilities that this might bring.
Elaborating a framework that is able to structure and evaluate design workflow and composition of Generative AI visualizations.
Authors: Longo Gianmarco , A Middleton Deborah , Albano Silvia
Published: January 2024

One aspect of using generative artificial intelligence (AI) in design workflows that is not well understood, is how designers navigate the use of prompts and imagery to control design outputs. To learn more about the ways generative AI can elaborate different innovative design aspects linked to a conceptual genre, we undertake an analysis of designer outputs and link these to a mapping of iterative design workflow, and the composition of prompts and imagery used to inform generative AI visualizations. A speculative design workshop presented young designers with a proposed framework to facilitate and guide them through an iterative design process using generative AI tools (Vizcom and Midjourney). Design outputs included designed objects, atmosphere, spatial configurations able to generate social communication and relations for futuristic residential lighting environment. Prompt writing and sketching were two crucial variables that enable high fidelity design visualization. Traditionally research on prompt writing focuses on variables of descriptive design imagery, point of view, quality of output, ordering, precision, tone and style. (Microsoft,2023) In this study we investigate how designers initiate and continually engage with a generative AI system to achieve consistency of outputs and elaborate design variations. The literature review identifies variables to assess the impact of creative input to structure the generative AI visualizations. Our analysis focus on the cognitive workflows and its ability to integrate a mix of analogical and digital methods( sketching, prompts writing, and digital imagery). The analysis constructs focus on the way the design methods translate different spatial qualities, phenomenal experiences that have potential to facilitate social communication and relations, (proximity, sightline-acoustic comfort). Our insights constructs a design framework to guide prompt composition that inform iterative generative AI outputs. The schematic framework may be used to guide AI generated visualizations according to the qualities of atmosphere linked to the spatial forms and arrangements of interior spaces. Written prompts and imagery are examined in their ability to articulate design principle, spatial qualities, spatial characteristics, spatial forms and social relations.