Miracle-dz/UniFAR-FTUs huggingface dataset:
Do You See What I See? Exploring Vividness of Visual Mental Imagery in Product Design Ideation

Abstract This paper reports a preliminary study (N=16) exploring vividness of visual mental imagery in product design ideation. Vividness was observed to vary across designers in the study, from high (68.8% of participants) to moderate (18.8%) to low (12.5%). A significant, strong positive relationship was found between vividness and creativity. Most participants reported using imagery always or sometimes, except one who has difficulties forming mental images. The results have several implications, including the possibility of other ‘ways of imagining’ not captured by visual reasoning models of design.
An Approach to Transfer Biological Solutions Based on the Interaction of Mechanisms to Technical Products

Abstract Biological solutions are often used for developing technically innovative products in a biomimetic process. However, biological solutions do not always make it into a successful technical product, e.g. due to a lack of knowledge on the mechanisms of action. A new approach is presented for transferring biological solutions based on complex mechanisms of action. It is based on mathematical optimization methods and applied to the lightweight design of the musculoskeletal system. Finally, first technical implementations in the field of robotics, among others, will be presented.
A Survey on the Challenges Hindering the Application of Data Science, Digital Twins and Design Automation in Engineering Practice

Abstract Digital Engineering is an emerging trend and aims to support engineering design by integrating computational technologies like design automation, data science, digital twins, and product lifecycle management. To enable alignment of industrial practice with state of the art, an industrial survey is conducted to capture the status and identify obstacles that hinder implementation in the industry. The results show companies struggle with missing know-how and available experts. Future work should elaborate on methods that facilitate the integration of Digital Engineering in design practice.
Evaluating the effectiveness of ERS for vessel oil spills using fuzzy evidential reasoning

An emergency response system (ERS) for vessel oil spills is a complex and dynamic system comprising a number of subsystems and activities. Failures may occur during the emergency response operations, this has negative impacts on the effectiveness of the ERS. Of the classes of problems in analyzing failures, the lack of quantitative data is fundamental. In fact, most of the empirical data collected via questionnaire survey is subjective in nature and is inevitably associated with uncertainties caused by the human being‟s inability to provide complete judgement. In addition, incomplete information and/or vagueness of the meaning about the failures add difficulties in evaluating the effectiveness of the system. Therefore this paper proposes a framework to evaluate the ERS effectiveness by using the combination of fuzzy reasoning and evidential synthesis approaches. Based on analyzing the procedure of ERS for oil spills, the failures in the system could be identified, using Analytic Hierarchy Process (AHP) to determine the relative weight of identified failures. Fuzzy reasoning combined with evidential synthesis is applied to evaluate the effectiveness of ERS for oil spills under uncertainties last. The proposed method is capable of dealing with uncertainties in data including ignorance and vagueness which traditional methods cannot effectively handle. A case study is used to illustrate the application of the proposed method. spills using
Ethical decision making in the 21st century: A useful framework for industrial-organizational psychologists

Abstract Ethical decision making has long been recognized as critical for industrial-organizational (I-O) psychologists in the variety of roles they fill in education, research, and practice. Decisions with ethical implications are not always readily apparent and often require consideration of competing concerns. The American Psychological Association (APA) Ethical Principles of Psychologists and Code of Conduct are the principles and standards to which all Society for Industrial and Organizational Psychology (SIOP) members are held accountable, and these principles serve to aid in decision making. To this end, the primary focus of this article is the presentation and application of an integrative ethical decision-making framework rooted in and inspired by empirical, philosophical, and practical considerations of professional ethics. The purpose of this framework is to provide a generalizable model that can be used to identify, evaluate, resolve, and engage in discourse about topics involving ethical issues. To demonstrate the efficacy of this general framework to contexts germane to I-O psychologists, we subsequently present and apply this framework to five scenarios, each involving an ethical situation relevant to academia, practice, or graduate education in I-O psychology. With this article, we hope to stimulate the refinement of this ethical decision-making model, illustrate its application in our profession, and, most importantly, advance conversations about ethical decision making in I-O psychology.
Knowledge Reuse during New Product Development: A Study of a Swedish Manufacturer

Abstract As organisations grow, consequences of poor knowledge management are evident for new employees in product developing companies. The problem of leveraging existing knowledge between development projects and departments is still relevant. This paper presents an industrial case study of a traditional manufacturing company and extends prior research addressing the reuse of organisational knowledge in new product development. The paper outlines barriers that hinder effective reuse of codified engineering knowledge and suggest means to overcome those barriers by using A3-reports in the PLM-system.
Information Retrieval and Survey Design for Two-Stage Customer Preference Modeling

Abstract Customer survey data is critical to supporting customer preference modeling in engineering design. We present a framework of information retrieval and survey design to ensure the collection of quality customer survey data for analyzing customers’ preferences in their consideration-then-choice decision-making and the related social impact. The utility of our approach is demonstrated through the survey design for customers in the vacuum cleaner market. Based on the data, we performed descriptive analysis and network-based modeling to understand customers’ preferences in consideration and choice.
A New Projection Based Method for the Classification of Mechanical Components Using Convolutional Neural Networks

Abstract Digital engineering is increasingly established in the industrial routine. Especially the application of machine learning on geometry data is a growing research issue. Driven by this, the paper presents a new method for the classification of mechanical components, which utilizes the projection of points onto a spherical detector surfaces to transfer the geometries into matrices. These matrices are then classified using deep learning networks. Different types of projection are examined, as are several deep learning models. Finally, a benchmark dataset is used to demonstrate the competitiveness.
Evidence-based case studies in I-O education for public impact

Rogelberg et al. (2022) acknowledge the imperative for industrial and organizational psychology (I-O) to reach the public and provide a series of useful suggestions; however, the authors have largely neglected to consider how I-O academics may contribute to achieving this goal through different educational activities. I believe adopting evidence-based case studies within our curriculums can create a positive cascade from our students to the public. Specifically, I suggest the cascading benefit occurs because evidence-based case studies help students think about real-world problems from an I-O perspective, as well as develop their ability and confidence to translate scholarship into practical recommendations. By integrating more evidence-based case studies into our programs, we can leverage the some 1,500 new I-O graduates each year (in the United States alone; National Center for Education Statistics, 2021) to be advocates for I-O science. Our students will be better equipped to be effective practitioners, and in doing so they can share the value of I-O science with others (e.g., coworkers, family, and friends). An evidence-based case study approach is as a structured method to teaching students how to meaningfully combine “critical thinking with use of the best available scientific evidence and business information” using case studies (Rousseau & Barends, 2011, p. 221). A case study reports on or realistically simulates organizational problems to foster student learning and engagement (Rippin et al., 2002). This approach emphasizes the development of students’ ability to translate rigorous scholarship into practice, thus facilitating their effective communication with both academic and nonacademic audiences. Although popular in business schools, I argue such case studies remain underused in I-O education. I begin by defining an educational approach to I-O evidence-based case studies and then provide three examples of evidence-based case studies. I conclude with reflections on my students’ experiences. In doing so, I make several potential contributions. First, I illustrate how evidencebased case studies can be effectively used to help I-O science reach the general public through an impact cascade that begins with our students. Second, numerous scholars argue bridging the gap between I-O science and the public may be best left to senior scholars (Clinebell & Clinebell, 2008), possibly because such activities are not part of traditional academic reward systems (Rogelberg et al., 2022). However, a case study approach empowers a greater number of I-O academics to engage the issue because most academic positions include at least some teaching. Third, although several scholars have espoused adopting similar educational approaches (e.g., Rousseau &McCarthy, 2007), there are few concrete examples and little evidence of teaching utility. I address this gap by providing three exemplary evidence-based case studies and data from my teaching.
Design Reviews in Immersive and Non-Immersive Collaborative Virtual Environments: Comparing Verbal Communication Structures

Abstract The paper explores the differences between immersive and non-immersive collaborative virtual environments (CVEs) during design reviews. Based on ten reviews with one designer and two reviewers, the study shows that CVEs affect verbal communication structure. More specifically, teams usually talked less, and reviewers exchanged significantly more turn sequences in immersive than in non-immersive CVEs. Regardless of the environment, most turn sequences were related to the designer, who usually talked the most. These findings contribute to the understanding of CVEs in virtual teams.
Design Conference Paper Template

The objectives and scope of a construction project is defined in the early design stage, the fuzzy front-end. This stage is crucial for project risk management and success, but traditional risk management tend to focus on operational risk in later design stages. This action research study leverages co-design methodology and the project management actuality perspective to tailor a risk management process for the fuzzy front-end of construction projects in a large client organization. The co-design process help enchance stakeholder value perception of the designed solution.
Differential excretory/secretory proteome of the adult female and male stages of the human blood fluke, Schistosoma mansoni

Intricate molecular communication between the schistosome (flatworms) and its mammalian host, as well as between paired male and female schistosomes has shaped the secreted proteome of these flatworms. Whereas the schistosome egg is responsible for the disease manifestations of chronic schistosomiasis, the long lived, adult female and male stages also release mediators that facilitate their long-lived intra-vascular existence in a hostile niche where they are bathed in immune cells and effector molecules. However, despite their importance, no studies have focused on analysing the excretory/secretory products (ESPs) from adult schistosomes. Herein, ESPs from cultured Schistosoma mansoni male or female adult worms were identified, quantified, compared and contrasted using a label-free proteomic approach. Approximately 1,000 proteins were identified, from which almost 800 could be finally quantified. Considering the proteins uniquely identified and proteins with a significantly regulated expression pattern in male or female flukes, a total of 370 and 140 proteins were more abundantly secreted by males and females, respectively. Using functional analysis networks showing the gene ontology terms and KEGG pathways with the highest significance, we observed that male schistosomes secrete proteins related to carbohydrate metabolism, cytoskeletal organisation more abundantly than females, while female worms secreted more hydrolases and proteins involved in cellular homeostasis than males. This analysis doubles the number of previously reported ESPs from S. mansoni, contributing to a better understanding of the host-parasite dynamic interactions. Furthermore, these findings expand potential vaccine and diagnostic candidates for this neglected tropical disease pathogen, which will enable deeper understanding of the molecular communication critical to parasitism.
Enterprise Cloud Computing: A Strategy Guide for Business and Technology Leaders

We are witnessing the third seismic shift in information technology over the past fifty years. In the beginning it was centralized computing where mainframe computers gave companies economies of scale in handling their data processing. Then it was client-server computing driven by networks and PCs that gave companies new sources of efficiency. Now we are witnessing the emergence of a third computing model and it will have a huge impact on business, -- especially in today's economy full of unexpected change. As with the first two computing models as they emerged, we may not be totally sure what it is or how it will change the rules of business and create new winners and losers in the marketplace. It s called Cloud Computing and the economic and innovation implications are game changing. No one needs to know more about the business implications of Cloud Computing than C-level executives responsible for the future of their organizations, for the wow isn t just about technology, it s about the promise of on-demand business innovation. But even more than understanding this new wave, they need to act, and act now. Written by industry veterans with a combined leadership experience of over 100 years at the intersection of business and technology, Enterprise Cloud Computing provides strategic insights, describes the breakout business models and offers the planning and implementation guidance business and technology leaders need to chart their course ahead. This is the companion book to "Dot.Cloud: The 21st Century Business Platform. "
A Well-Characterized Polycistronic-Like Gene Expression System in Yeast

Efficient expression of multiple genes is critical to yeast metabolic engineering because of the increasing complexity of engineered pathways. A yeast polycistronic expression system is of particular interest because one promoter can drive the expression of multiple genes. Polycistronic expression thus requires less genetic material and minimizes undesirable recombination due to repeated use of the same promoter. It also decreases the number of DNA parts necessary for cloning a multi-gene construct. 2A viral peptides enable the co-translation of multiple proteins from one mRNA by ribosomal skipping. However, the wide adaptation of this strategy for polycistronic-like gene expression in yeast awaits in-depth characterizations. Additionally, a one-step assembly of such a polycistronic-like system is highly desirable. To this end, we have developed a MoClo compatible 2A peptide-based polycistronic-like system capable of expressing multiple genes from a single promoter in yeast. Characterizing the bi-, tri, and quad-cistronic expression of fluorescent proteins showed high cleavage efficiencies of three 2A peptides. The expression level of each protein decreases as it moves away from the promoter. Additionally, the impact of a C-terminal 2A peptide on protein function is dependent on the protein sequence. Applying the polycistronic-like system for geraniol production resulted in similar or higher titers compared to a conventional monocistronic construct. In summary, this highly-characterized polycistronic-like gene expression system is another tool to facilitate multi-gene expression in yeast.
The democratisation of design and design learning: how do we educate the next-generation designer

Democratisation of technology has changed how design is practiced, produced, 'made', accessed, traded, taught, and learned. Crowdsourcing platforms tap into the creative domains of designers and have changed how business is conducted. Collaborative practices and the rise of the citizen designer are shifting the role of the designer in the creation process. At the same time, the culture of design learning is changing. Massive Open Online Courses (MOOCs) offer free education to everyone. First trials of translating design education's signature pedagogies into the MOOC environment started. With significant changes challenging the traditional design demographic, and how design is taught and learned, how can we educate the next generation designer? This paper provides some insight by presenting an international view from both design educators, and program leaders, on the future of design education.
Lymphatics regulation of the inflammatory clotting creates the natural on-off switch for the immune ignorance that allows subcutaneous allografting

The ability of lymph to clot indicates that, like blood vessels, lymphatics must have means to counteract this process. Here, we analyzed lymphatic hemostatic properties, tailoring them for potential therapeutic applications. Inflammatory stimuli induced tissue factor-dependent focal lymph clotting while blocking thrombomodulin leading to widespread but transient occlusion of collecting vessels. Decellularization of lymphatics resulted in tissue factor-independent lymphatic occlusion by widespread and persistent lymph clots. In occluded decellularized ‘ghost’ vessels, fibrin was eventually reperfused. During the regeneration, ghost lymphatics were filled with granuloma-like clusters of antigen-presenting cells and T cells. Despite that, immune response against allografts placed under non-drained skin did not develop as long lymphatics remained occluded, the effect that could be prolonged by delaying regeneration of the decellularized collectors. When the lymph clotting was blocked, decellularized lymphatics could still drain macromolecules and leukocytes, showing that lymphatic endothelium is not necessary for the classic lymphatic functions. The control of excessive clotting emerges as the essential function of lymphatics that could explain the seeming spandrel presence of lymphatic networks in organs such as the kidney or heart, contribute to microvascular thrombosis during infection, and can be exploited to induce immune ignorance of the subcutaneous endocrine grafts.
Biomolecular solution X-ray scattering at n2STAR Beamline

Small angle X-ray Scattering (SAXS) is a method for determining basic structural characteristics such as size, shape, and surface of particles. SAXS can generate low resolution models of biomolecules faster than any other conventional structural biology tools. SAXS data is mostly collected in synchrotron facilities to obtain the best scattering data possible however home source SAXS devices can also generate valuable data when optimized properly. Here, we examined sample data collection and optimization at home source SAXS beamline in terms of concentration, purity, and the duration of data acquisition. We validated that high concentration, monodisperse and ultra pure protein samples obtained by size exclusion chromatography are necessary for generating viable SAXS data using home source beamline. Longer data collection time does not always generate higher resolutions but at least one hour is required for generating a feasible model from SAXS data. Furthermore, with small optimizations both during data collection and later data analysis SAXS can determine properties such as oligomerization, molecular mass, and overall shape of particles in solution under physiological conditions.
Research on State Monitoring System of Intelligent Disconnecting Switch Based on Sensing Technology

The intelligentization, informationization, and internalization of power system infrastructure equipment are the key technologies to achieve the low-carbon transformation of the power system. To tackle the low degree of intelligence and the internet in the monitoring and early warning of mechanical faults of the disconnecting switch, this paper designs an intelligent monitoring system for the disconnecting switch operation status based on sensing technology. Torque sensors, angle encoders, micro-switches, attitude sensors, and temperature and humidity sensor technology are used to monitor the operation status of the disconnecting switch, and an advanced RISC machine (ARM) embedded terminal system is used as the disconnecting switch status monitoring center. The intelligent monitoring system aims to accurately monitor the temperature and humidity environment in the disconnector operating mechanism box, the opening and closing position state of the disconnector, and the torque angle variation characteristics of the disconnector according to the operating parameters collected by the sensor, while achieving remote real-time state monitoring of the disconnecting switch. The function tests and field tests show that the system performance is stable, and the state information collection, intelligent analysis, and remote monitoring meet the actual needs, which can improve the efficiency of disconnecting switch operation, maintenance, and overhaul, thereby reducing the risk of power grid outages.
Mucosa-Colonizing Microbiota Correlate With Host Autophagy Signaling in Patients With Inflammatory Bowel Disease

Both bacteria and autophagy are implicated in inflammatory bowel disease (IBD) pathogenesis. However, how bacteria crosstalk with autophagy signaling remains largely known, especially in intestinal mucosa. This study aimed to profile the internal complex autophagy signaling cascade and their external correlation with these bacteria, and consequently provide a systematic and precise target for future IBD diagnosis and therapy. We found the Ulcerative colitis (UC) patients exhibited more severe dysbiosis than the Crohn’s disease (CD) patients, as represented by alpha diversity, community phenotypes, and functional annotation compared with the control population. Meanwhile, CD patients showed greater transcriptional signaling activities of autophagy, endoplasmic reticulum (ER) stress, and bile acid production. Dominant bacteria (e.g., Rhodococcus, Escherichia, Shigella, and Enterococcus) were positively correlated and low-abundance bacteria (e.g., Bacillus, Acidovorax, Acinetobacter, and Stenotrophomonas) were negatively correlated with the autophagy signaling cascade (184 autophagy genes, 52 ER stress genes, and 22 bile acid production genes). Our observations suggested UC patients showed temporary and widespread microbiota turbulence and CD patients showed processive and local autophagy activity during IBD progression. Intestinal mucosa-colonizing bacteria were correlated with the bile/ER stress/autophagy signaling axis in IBD pathogenesis.