Miracle-dz/UniFAR-FTUs huggingface dataset:
HOW AND WHY INSTRUCTORS INCLUDE AND EXCLUDE SOCIAL, POLICY, AND ETHICAL CONSIDERATIONS IN DESIGN EDUCATION

Abstract Design and engineering are socio-technical enterprises used to solve real-world problems. However, students in these fields are often under-equipped to consider the ethical and societal implications of their work. Our prior work showed that these societal considerations are more consistently embedded in design pedagogy in non-engineering than in engineering courses at MIT. Here, we examine underlying causes for this through a survey of instructors (231 courses from 29 departments). The main contribution of this work is an analysis of whether and how instructors incorporate social, ethical, and policy considerations in design pedagogy. The majority of respondents (60.6%) included these topics in their courses, primarily through discussion of social justice, identity groups, and ethics. These concepts were included more in non-engineering courses (65.8%) than engineering courses (46.9%). Many instructors, especially in engineering, cited irrelevance as the reason for not engaging with these topics in their courses (86.1% compared to 44.2% in non-engineering). We suggest that instructors question this perception and use the examples provided as a starting point to explore integration of these concepts into their technical content.
Group Representations for Decision Making under Risk and Uncertainty

This paper extends decision making under risk and uncertainty to group theory via representations of invariant behavioural space for prospect theory. First, we predict that canonical specifications for value functions, probability weighting functions, and stochastic choice maps are homomorphic. Second, we derive a continuous singular matrix operator T for affine transformation of a vector space of skewed S-shape value functions V isomorphic to a vector spaceW of inverted S-shaped probability weighting functions. To characterize the transformation, we decompose the operator into shear, scale and translation components. In that milieu, Moore-Penrose psuedoinverse transformation recovers value functions from probability weighting functionals. Removal of 0 from the point spectrum induces nonsingular operators that support group representation of stochastic choice maps in an invariant subspace of the general linear group GL(V). Third, we demonstrate how group theoretic operations on a gamble provide mathematical foundations of probability weighting functions that subsume the Prelec class. Fourth, we predict that a gamble is isomorphic to an invariant cyclic sub-group in weighted probablity space. This result implies that probability weighting functions [and value functions] fluctuate near their extremes, and explain violation of transitivity axioms in decision theory. Moreover, representations include the special unitary group SU(2) and orthogonal group Θ*3. The former includes Pauli’s spin matrices and accounts for skewness. It also provides microfoundations for construction of (1) behavioural stochastic processes from group character in the frequency domain; and (2) Schrodinger-Pauli Hamiltonian to compute, inter alia, time dependent probabilities in decision field theory.
DERIVATION OF A METHOD DNA FOR THE UNIFIED DESCRIPTION OF METHODICAL PROCEDURES IN PRODUCT DEVELOPMENT

Abstract The number of publications on methods in product development is increasing constantly. In addition to scientific models, method guidelines exist in practice to support the selection of suitable methods. When looking more closely, it is noticeable that new methods are not new developments of methodical principles, but rather adaptations and summaries of known methods to specific application areas.Although approaches to standardize methods exist, they are usually formulated too abstractly to be useful to project managers as a support for method decision making.In our contribution, we analyse common methods of technical product development regarding similarities in content and time. In doing so, we were able to derive a method DNA on the basis of which all methods can be described and, above all, distinguished in a verifiable manner. In addition to essential activity blocks, the DNA also includes the description of temporal sequences, which in particular enables a differentiation between agile and classic methods. Ultimately, the method DNA not only offers the chance to make methodical work comprehensible, but also the possibility to select methods specifically for upcoming development steps arises through the classification option.
DESIGNING FOR REHABILITATION MOVEMENT RECOGNITION AND MEASUREMENT IN VIRTUAL REALITY

Abstract Virtual reality (VR)-based rehabilitation has been widely implemented to maintain and increase patient motivation during therapy sessions. Researchers nowadays design VR-based rehabilitation by leveraging off-the-shelf VR devices for easy access and application. However, researchers need to implement additional custom hardware or incorporate a specific algorithm to perform a real-time evaluation of each therapeutic movement. This study aims to design and develop a system with features for recognizing and measuring the upper limb rehabilitation movement in VR using off-the-shelf VR devices such as VR headsets, controllers, and trackers. This system is bundled and distributed as a single toolkit to accommodate other researchers in providing the evaluation feature for their VR-based rehabilitation system. The user experiment was conducted to verify the usability of this proposed design system. The experiment results show that the system can recognize 16 upper limb movements and provide several measurement data that researchers can use in providing the evaluation feature based on their design requirements.
ALIGNING FUNCTIONAL ANALYSIS PROCESSES WITH DESIGNERS' NATURAL COGNITIVE FLOW

Abstract Engineering design in new product development is a constant battle between creativity and strict structure. As researchers look to optimize the process, each stage is placed under a microscope to put designers in the best position to develop better products for companies in a cost effective manner. One idea in improving product development is the concept of incorporating the Human-centered Design into functional analysis. However, critiques of these functional analysis methods cite an unnecessary amount of resources needed to invest in these steps, a restriction in creativity, and a high necessary level of effort from the design teams. The goal of this research will be to address these critiques by incorporating theories from cognitive research and Human-centered Design into the functional analysis process. This work will propose a new method aimed to improve the quality of the function model of the design space, increase the creativity freedom of the designers, and be accessible to engineering students and industry engineers alike.
THE ROLE OF DESIGN IN INTERDISCIPLINARY PRODUCT DEVELOPMENT – CHALLENGES, RESEARCH APPROACHES AND FURTHER RESEARCH NEEDS

Abstract In global competition, companies are continuously searching for a competitive advantage. A growing number of companies have identified the design of their products as a major success factor. The promises for companies associated with outstanding design are extremely attractive, ranging from better customer experience to higher sales growth. But even though the advantages of design seem to be compelling, companies are still having difficulties in leveraging the benefits of design. In this paper, we want to identify the underlying challenges that explain this gap. We are especially interested in the role and challenges of design in interdisciplinary product development. Therefore, we perform a literature review that clarifies terminology, analyses research approaches and identifies challenges. We determine seven key challenges for design in interdisciplinary product development. Furthermore, we observe a limited scope of research approaches in the reviewed literature. Based on these findings, we propose three further research directions to strengthen the role of design in interdisciplinary product development in the future.
THE INTERIOR DESIGN CHALLENGES OF A HYPERLOOP POD HOW TO ENHANCE THE PASSENGER EXPERIENCE

Abstract Although still in its infancy, the Hyperloop project aims to develop a new type of public transport. The concept is to send a capsule, called “pod”, at about 1000km/h in a vacuum tube that would connect two places separated by 500km. One issue is that the pod will be windowless and travel inside a tube made of steel which will influence passenger comfort. This article brings together various domains to explore the different characteristics that can influence the travel experience. As the Hyperloop concept is still in an early stage of development, methods for analyzing the interior design of transportation vehicles, such as Kansei Engineering, Mayr's circle, and the comfort model by Looze have been proposed. Moreover, typical characteristics, such as “Environment”, “Running Factors” and “Service & Installation” have been discussed with respect to “passengers” experience, comfort and safety.
ARE GENERATIVE ADVERSARIAL NETWORKS CAPABLE OF GENERATING NOVEL AND DIVERSE DESIGN CONCEPTS? AN EXPERIMENTAL ANALYSIS OF PERFORMANCE

Abstract Generative Adversarial Networks (GANs) have shown stupendous power in generating realistic images to an extend that human eyes are not capable of recognizing them as synthesized. State-of-the-art GAN models are capable of generating realistic and high-quality images, which promise unprecedented opportunities for generating design concepts. Yet, the preliminary experiments reported in this paper shed light on a fundamental limitation of GANs for generative design: lack of novelty and diversity in generated samples. This article conducts a generative design study on a large-scale sneaker dataset based on StyleGAN, a state-of-the-art GAN architecture, to advance the understanding of the performance of these generative models in generating novel and diverse samples (i.e., sneaker images). The findings reveal that although StyleGAN can generate samples with quality and realism, the generated and style-mixed samples highly resemble the training dataset (i.e., existing sneakers). This article aims to provide future research directions and insights for the engineering design community to further realize the untapped potentials of GANs for generative design.
AN EXPLORATION OF THE ROLE OF CREATIVITY IN CROWDFUNDING PRODUCT DESIGN PROJECTS

Abstract Crowdfunding is becoming increasingly popular for funding projects, particularly in the domain of product design, by asking a large group of people. Previous studies have indicated that creativity plays a significant role in product design and is considered an important factor of success for new product design and development. However, these studies have not explicitly explored the role of creativity in crowdfunding product design projects. This paper investigates this issue by conducting a case study employing expert evaluations of selected successful and unsuccessful crowdfunding product design project samples. The results of the study show there is a positive relationship between the creativity of a product and the success of its crowdfunding campaign. Therefore, creativity can be considered a success factor of crowdfunding. The study also suggests creative products, especially useful ones, might have more potential to attract people's willingness to fund them. This paper has contributed to the research on design, creativity, product design and development, and funding business models. Most importantly, this paper has raised the significance of creativity in design and business.
FROM HAPTIC INTERACTION TO DESIGN INSIGHT: AN EMPIRICAL COMPARISON OF COMMERCIAL HAND-TRACKING TECHNOLOGY

Abstract Advancements in prototyping technologies – haptics and extended reality – are creating exciting new environments to enhance stakeholder and user interaction with design concepts. These interactions can now occur earlier in the design process, transforming feedback mechanisms resulting in greater and faster iterations. This is essential for bringing right-first-time products to market as quickly as possible. While existing feedback tools, such as speak-aloud, surveys and/or questionnaires, are a useful means for capturing user feedback and reflections on interactions, there is a desire to explicitly map user feedback to their physical prototype interaction. Over the past decade, several hand-tracking tools have been developed that can, in principle, capture product user interaction. In this paper, we explore the capability of the LeapMotion Controller, MediaPipe and Manus Prime X Haptic gloves to capture user interaction with prototypes. A broad perspective of capability is adopted, including accuracy as well as the practical aspects of knowledge, skills, and ease of use. In this study, challenges in accuracy, occlusion and data processing were elicited in the capture and translation of user interaction into design insights.
CLASSIFICATION OF METHODOLOGIES FOR DESIGN FOR CIRCULAR ECONOMY BASED ON A LITERATURE STUDY

Abstract Global resource consumption is steadily rising. One option for stopping this upward trend is to reduce material consumption in general. With economics built for growth, this is not a practical path to pursue. Another recently explored alternative is the paradigm shift from a linear economy to a circular economy. The most common concept among practitioners and academics comprises the 6R's: Reuse, Repair, Refurbish, Remanufacture, Repurpose, and Recycle. In addition to business cases and supply chains that have been adapted to the circular economy, the products themselves must be circular. Developers face the challenge of developing novel products without appropriate experience from previous tasks. This paper takes up the challenge of gathering relevant methods in the context of circular product development. A classification with regard to the required input data and use case shall help users effectively and efficiently find development methods suitable for their given development task. With the categorization via a product development framework it is pointed out in which phase existing methods support users and where a lack of support occurs.
IDENTIFYING AND COMPARING SUBPROBLEMS IN FACTORY DESIGN PROCESSES

Abstract When a design team faces the problem of designing a complex system, they are required to make several decisions. Because such design problems are difficult to solve all at once, teams often decompose the design problem into several smaller subproblems. This paper discusses the results of a study designed to understand how design teams decompose a factory redesign problem into sets of related subproblems and compare the subproblems obtained for each design team. This exploratory study analyzed the design activities of eight teams of professionals and used clustering to group the variables that the design teams considered. We found that the design teams used different decomposition strategies and different subproblems, but they more often considered subproblems with design variables of the same type, and some teams followed a top-down design process.
REDUCING PROTOTYPE FABRICATION TIME THROUGH ENHANCED MATERIAL EXTRUSION PROCESS CAPABILITY

Abstract 3D printing is a widely used technology for automating the fabrication of prototypes. The benefits are wide reaching, and include low required expertise, accurate geometric form and the processibility of many materials. However, production of certain forms – especially large forms – can be slow. From review of the sub-systems, the hotend is commonly found to be the limiting factor. To improve this, a modified nozzle design is considered that incorporates a flat copper plate within the flow stream. Analytical simulation was used to guide this design before experimental methods validated the modifications. The maximum volumetric rate for the standard hotend nozzle is 14 mm3/s. The best performing modified nozzle increased the maximum volumetric flow rate to 26 mm3/s – an 86% increase. A series of popular parts were further considered, demonstrating a maximum ∼48% fabrication time reduction, and a mean of ∼23%. This enables 3D printed prototypes to be made more efficiently – both with regards to the design cycle and energy use – and allows designers to use the technology more rapidly than previously possible. By extension, this improves the efficiency of the design process.
FROM TEXT TO IMAGES: LINKING SYSTEM REQUIREMENTS TO IMAGES USING JOINT EMBEDDING

Abstract Smart manufacturing enterprises rely on adapting to rapid engineering changes while minimizing the generated risk. Making informed decisions related to engineering changes and managing risks against unexpected costs requires more information to be extracted from limited data. However, limited information in early-stage design can come in many forms, namely text and images. The development of innovative design tools and processes to link multisource data together is essential to assist designers in building model-based engineering (MBE) systems. However, the formal computational linking of multisource data is yet to be realized in MBE. We propose a framework to implement transfer learning and integrate domain specific knowledge to bridge this information gap. A synthetic dataset is created using web scraping techniques based on keywords extracted from the requirements. Requirement-image pairs are used to fine tune a contrastive language-image pretraining model to acquire domain knowledge. The results demonstrate how the content of images can be used to indicate all affected requirements for tracing engineering changes in a complex system.
Laterality defect of the heart in non‐teleost fish

Dextrocardia is a rare congenital malformation in humans in which most of the heart mass is positioned in the right hemithorax rather than on the left. The heart itself may be normal and dextrocardia is sometimes diagnosed during non-related explorations. A few reports have documented atypical positions of the cardiac chambers in farmed teleost fish. Here, we report the casual finding of a left-right mirrored heart ventricle in a 85 cm long spiny dogfish (Squalus acanthias) that was caught in the wild. Macroscopic observations showed an outflow tract originating from the left side of the ventricular mass, rather than from the right. Internal inspection revealed the normal structures, including a looped cavity on the inner curvature of which was a large trabeculation, or the bulboventricular fold. MRI data acquired at 0.7 mm isotropic resolution and subsequent 3D-modeling revealed the atrioventricular canal was to the right of the bulboventricular fold, rather than on the left. The atrium and sinus venosus had the normal midline position and gross shape. Spurred by finding of the left-right mirrored shark ventricle, we revisit our previously published material on farmed Adriatic sturgeon (Acipenser naccarii), a non-teleost bony fish. We found several alevins with inverted (L-loop) hearts, amounting to an approximate incidence of 1-2 %. Additionally, an adult sturgeon measuring 90 cm in length showed abnormal topology of the cardiac chambers, but normal position of the abdominal organs. In conclusion, left-right mirrored hearts, a setting that resembles human dextrocardia, can occur in both farmed and wild non-teleost fish.
Symbiotic nutrient exchange enhances the long-term survival of cassiosomes, the autonomous stinging-cell structures of Cassiopea

ABSTRACT Medusae of the widely distributed upside-down jellyfish Cassiopea release autonomous, mobile stinging structures. These so-called cassiosomes play a role in predator defense and prey capture, and are major contributors to “contactless” stinging incidents in (sub-)tropical shallow waters. While the presence of endosymbiotic dinoflagellates in cassiosomes has previously been observed, their potential contribution to the metabolism and long-term survival of cassiosomes is unknown. Combining stable isotope labeling and correlative scanning electron microscopy and nanoscale secondary ion mass spectrometry imaging with a long-term in vitro experiment, our study reveals a mutualistic symbiosis based on nutritional exchanges in dinoflagellate-bearing cassiosomes. We show that organic carbon input from the dinoflagellates fuels the metabolism of the host tissue and enables anabolic nitrogen assimilation. This symbiotic nutrient exchange enhances the life span of cassiosomes for at least one month in vitro. Overall, our study demonstrates that cassiosomes, in analogy with Cassiopea medusae, are photosymbiotic holobionts. Cassiosomes, which are easily accessible under aquarium conditions, promise to be a powerful new miniaturized model system for in-depth ultrastructural and molecular investigation of cnidarian photosymbioses. IMPORTANCE The upside-down jellyfish Cassiopea releases autonomous tissue structures, which are a major cause of contactless stinging incidents in (sub-) tropical coastal waters. These so-called cassiosomes frequently harbor algal symbionts, yet their role in cassiosome functioning and survival is unknown. Our results show that cassiosomes are metabolically active and supported by algal symbionts. Algal photosynthesis enhances the cassiosomes long-term survival in the light. This functional understanding of cassiosomes thereby contributes to explaining the prevalence of contactless stinging incidents and the ecological success of some Cassiopea species. Finally, we show that cassiosomes are miniaturized symbiotic holobionts that can be used to study host-microbe interactions in a simplified system. The upside-down jellyfish Cassiopea releases autonomous tissue structures, which are a major cause of contactless stinging incidents in (sub-) tropical coastal waters. These so-called cassiosomes frequently harbor algal symbionts, yet their role in cassiosome functioning and survival is unknown. Our results show that cassiosomes are metabolically active and supported by algal symbionts. Algal photosynthesis enhances the cassiosomes long-term survival in the light. This functional understanding of cassiosomes thereby contributes to explaining the prevalence of contactless stinging incidents and the ecological success of some Cassiopea species. Finally, we show that cassiosomes are miniaturized symbiotic holobionts that can be used to study host-microbe interactions in a simplified system.