bluuebunny/crossref_metadata_2025_split huggingface dataset:
The gut microbiota-neuroimmune crosstalk and neuropathic pain: a scoping review
Authors: Nawarathna Gayani , Fakhruddin Kausar S. , Shorbagi Ali I. S. A. , Samaranayake Lakshman P. 
Published: June 2023

Abstract
Environmental stressors can disrupt the gut–brain relationship and alter the gut microbial composition, potentially leading to chronic pain, including neuropathic pain (NP). To understand this complex relationship, we conducted a systematic scoping review to examine the gut microbial-neuroimmune connection to NP and the potential therapeutic targets. The review includes English-language manuscripts in databases such as MEDLINE, Cochrane, and DOAJ between January 2000 and April 2022. Out of the 48 full texts examined, only 15 articles met the inclusion criteria. These included a randomised controlled trial involving 327 individuals, an in vitro, and 13 animal model studies. The findings suggest that the gut flora plays a role in the immunological, neurological, and metabolic signalling pathways associated with NP. Animal studies have been the primary focus in this area, indicating that an imbalanced-gut microbiome and subsequent activation of biochemical and neuro-immunologic pathways may influence the development of NP. This review provides a comprehensive summary of the gut microbiome-immune-NP axis and identifies potential therapeutic targets. However, since most of the evidence comes from animal studies, future research should include clinical trials to gain a better understanding of the role of gut microbiota in NP and discover new therapeutic strategies.
Perceptual Consequences of Portfolios: How Allocation Affects Left–Right Placement
Authors: Hjermitslev Ida B. , Krauss Svenja 
Published: June 2023

AbstractRecent research suggests that party leaders can strategically impact the perceived left–right position of their parties by changing their selective emphasis on certain issues. We suggest that a party's ideological image can also be altered by the portfolio allocation of the coalition government in which the party participates. By controlling a portfolio, the party will have a more direct influence on the related issue and will frequently communicate the party's issue position publicly, thereby cultivating a perception of strong emphasis on the related issue. We run a cross-national party-level analysis showing that portfolio allocation matters with regard to the importance of the subdimensions for the general left–right dimension. In particular, the influence of sociocultural stances depends on the share of sociocultural portfolios. In addition, we show that the mechanism does not apply at the beginning of a government's tenure, but only after a year or longer in office.
Challenges in defining surgical-site infections following hydrocephalus surgeries
Authors: Naureckas Li Caitlin , Bonebrake Amanda , Schroeder Sangeeta , Lam Sandi K. , Raskin Jeffrey S. 
Published: June 2023

AbstractMultiple organizations track neurosurgical surgical-site infection (SSI) rates, but significant variation exists among reporting criteria. We report our center’s experience with the variation in cases captured by 2 major definitions. Standardization could support improvement activities and SSI reduction.
CONCEPTUAL FRAMEWORK TO STUDY TEAM COHESION IN HUMAN-ROBOT TEAMS
Authors: Sri Ramoji Sreeja , Singh Vishal 
Published: June 2023

Abstractuse-case scenarios, including homes, hospitals, workplaces, and recreation. Though the area of Social Robotics has gained traction in recent years, the majority of the studies so far have studied single-human and single-robot interaction. In comparison, Social Robots are increasingly being placed in human teams, likely affecting team dynamics. On the other hand, Engineering teams work together to deliver outstanding results and the processes in these teams are social. We propose that Social robot can be added to engineering human team to enhance team cohesion and performance. Therefore, this paper presents a preliminary framework towards developing a conceptual framework to study team cohesion in Human-Robot Teams (HRTs) in engineering context, looks at different roles of social robot and how the responses, behaviours, emotions of social robots shape outcomes in the engineering team. The research specifically focuses on team cohesion because team cohesion is reportedly one of the most critical concepts in team dynamics. The paper outlines the research objectives, framework and concept workflow.
DATA-PUSHED PROJECTS: THE ROLE OF ANOMALIES TO BUILD DESIGN PROCESSES FOR SUBSEQUENT EXPLORATION
Authors: Bordas Antoine , Le Masson Pascal , Weil Benoit 
Published: June 2023

AbstractData-pushed projects are common in companies and consist in the design of a model in order to deliver a desirable output. The design of data science models appears at the intersection of optimisation and creativity logic, with in both cases the presence of anomalies to a various extent but no clear design process.This paper therefore proposes to study the possible design processes in data-pushed projects, highlighting distinct knowledge exploration logics and the role of anomalies in each. This research introduces a theoretical framework to study data-pushed projects and is based on design theory. Three case studies complete this theoretical work to examine each of the processes and test our hypothesis.As a result, this paper derives three design processes adapted to data-pushed projects and put forward for each of them: 1) the various knowledge leveraged and generated and 2) the specific role of anomalies.
DERIVATION OF A METHOD DNA FOR THE UNIFIED DESCRIPTION OF METHODICAL PROCEDURES IN PRODUCT DEVELOPMENT
Authors: Reichelt Florian , Traub Dietmar , Maier Thomas 
Published: June 2023

AbstractThe 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.
DESIGN FOR SAFE REUSE OF LABWARE: INVESTIGATING METHODS FOR QUALITY ASSURANCE
Authors: Van Loon Joren , Du Bois Els 
Published: June 2023

AbstractThe problem of plastic waste in research laboratories is a significant one, with an estimated 5.5 million tonnes generated annually worldwide. Reusable labware has the potential to reduce this waste significantly, but the design of such products must take into account quality assurance to guarantee the accuracy of experiments. Insights were gathered through the generation of an overview of the available techniques for verifying labware after use and decontamination. As during different design cycles verification of prototypes is needed, these techniques were evaluated and translated to be applicable in the specific context of a design lab. Therefore, this study presents a protocol which can be used as a verification tool while designing safe, reusable labware for chemical laboratories. This protocol consists of four different steps: (i) visual inspection, (ii) mass & size comparison, (iii) leak test, and (iv) chemical stability test.
A DYNAMIC APPROACH FOR LIFE CYCLE ASSESSMENT. THE CASE OF DOMESTIC REFRIGERATORS
Authors: Cappelletti Federica , Rossi Marta , Germani Michele 
Published: June 2023

AbstractThe Life Cycle Assessment is a well-stated methodology whose application has recently spread over a multitude of sectors. Thus the need for very accurate and reliable analysis. The present work investigates how to achieve reliable and faithful results while still maintaining a micro-systemic approach and how to handle the evolution of the real cases through commercial solutions available. The works present an innovative dynamic approach that aims at filling the discrepancy between the attributional Life Cycle Assessment which is focused on the product at the point to appear short-sighted and isolated from the surrounding evolving system and the consequential, which is willing to include the consequences of the evolution of the surrounding system, with increased complexity. The approach is applied to the case of a domestic refrigerator; the application reveals a discrepancy of 16% between the results of the dynamic and attributional analysis and registered doubled environmental impacts than the consequential, carried out with the support of commercial datasets. The approach respects the 5 main criteria for methods in environmental systems analysis, namely feasibility, accuracy, easiness in communication, inspiration, robustness.
EEG-BASED COGNITIVE LOAD INDICATORS IN CAD MODELLING TASKS OF VARYING COMPLEXITY
Authors: Lukačević Fanika , Becattini Niccolò , Škec Stanko 
Published: June 2023

AbstractAs an initial step towards a better understanding of cognitive load in computer-aided design (CAD), the herein presented study investigated cognitive load imposed on 24 mechanical engineers during two CAD modelling tasks of intentionally different complexity levels. The cognitive load has been rarely studied in the CAD context, which resulted in the lack of understanding if and how the EEG-based indicators available from the literature reflect the changes in cognitive load imposed on engineering designers in CAD activities. Therefore, cognitive load was measured and analysed using three EEG-based indicators to explore insights that might be obtained from them. The initial analysis revealed different cognitive load results from the employed indicators for the same EEG data. In addition, the study implies that the cognitive load results obtained through the used indicators are only partially coherent with the CAD modelling task complexity. Hence, the results imply that the chosen EEG-based indicator matters when measuring and analysing cognitive load in CAD modelling tasks and that its adjustment for CAD context might be needed.
EFFECT OF INTERMEDIARY OBJECT USE DURING COLLABORATIVE DESIGN ACTIVITIES OF IMMERSIVE APPLICATIONS: FOCUS ON PROFESSIONAL TRAINING APPLICATION
Authors: Bisson Isaline , Mahdjoub Morad , Zare Mohsen , Goutaudier Frédéric , Ravier Franck , Sagot Jean-Claure 
Published: June 2023

AbstractIndustry 4.0 introduces innovative ways of professional training thanks to new technologies such as Virtual Reality and Augmented Reality. Despite improvements, there's still a lack of a good user experience and connection between user needs and these applications. To tackle this problem, designers of such applications must work in a collaborative way integrating final users. It's specifically true during design phases such as scenario creation. But the co-creation of scenario is a difficult task for designers and final users who don't have enough expertise with IT. A solution seems to stand in intermediary objects (IOs) which are well known for their characteristics of mediation, transformation, and representation. We have studied the use of different IOs during a project consisting in designing an immersive professional training application for risk hunting for Stäubli company. We used an IO1 made of an excel sheet and an IO2 made of 360 views of the workshop. Two ideation sessions with two groups of designers were conducted to propose a scenario consisting of several risks to spot in the future application. Results show that the scenario was improved using the IO2, and final users and designers were more collaborative.
ELEMENTS OF A PRESCRIPTIVE AND ADAPTIVE PROSTHESIS DEVELOPMENT SERVICE FRAMEWORK
Authors: Patiniott Nicholas , Borg Jonathan C. , Francalanza Emmanuel , Zammit Joseph P. , Vella Pierre C. , Gatt Alfred , Paetzold Kristin 
Published: June 2023

AbstractAmputees face a number of challenges when acquiring and using a prosthesis, with major issues being the cost of the device, the time it takes for their custom prosthesis to be developed and delivered, as well as the challenges they face to get it regularly serviced and maintained. The other stakeholders involved, including the prosthetists and standard systems manufacturers, have a difficulty to collectively handle so many issues that occur to the different amputees. To address these challenges, our research reported in this paper contributes an approach to how these can be handled, through a Prescriptive approach entitled Adaptive Prosthetic Life-Cycle Service System (adProLiSS) Framework. Unlike other product service systems, adProLiSS is designed to explicitly involve and serve the amputee and their evolving needs during different phases throughout the amputee's life. This impacts how a prosthetic device needs to be designed to ensure a smoother interaction between the amputee and the device. The adProLiSS preliminary evaluation shows an improvement by which amputees can be efficiently provided with a prosthesis that evolves with their changing needs and aspirations, this fostering a longer term 'patient-centred care' service.
ENVIRONMENTAL CONSIDERATIONS IN ENGINEERING: SYSTEMIC DIFFERENCES BETWEEN EXPERTS AND NOVICES
Authors: Kirjavainen Senni , Celik Sine 
Published: June 2023

AbstractEngineering knowledge forms an essential part of our planetary fight against climate change. Traditionally, engineering curricula emphasizes the importance of technical knowledge and encourages to specialize in niche areas, where engineers develop themselves into experts. However, it is important to be able to reflect on complex societal challenges from a variety of perspectives to produce not only innovative, but also long-lasting and inclusive solutions for the greater good. This paper aims to understand the extent of systems thinking abilities of engineers by differentiating experts from novices. The study traces sustainability connections made by professional engineers and master's level engineering students when solving engineering design problems. This qualitative study highlights seven recurring themes that relate to the global sustainability discourse and describe a problem-centred approach through a real-life case that focuses on paper and pulp production, through a thematic analysis of 59 responses. The results portray system-level differences in how novice and expert engineers approach sustainability questions and how these differences shape their solution spaces.
ENVIRONMENTAL LABELING OF ELECTRICAL ELECTRONIC EQUIPMENT (EEE) IN FRANCE: INFORMATION FOR CONSUMERS
Authors: Bertrand Axelle Noémie , Bauer Tom , Charbuillet Carole , Bonte Martin , Voyer Marie , Perry Nicolas 
Published: June 2023

AbstractThe current regulatory framework for Electrical and Electronic Equipment (EEE) is changing and now requires manufacturers to disclose the environmental performance of their products. This means that manufacturers must perform a life cycle analysis (LCA) on their entire range of products. An LCA is a recognized and standardized methodology for assessing the environmental impact of activities. However, communicating this information to consumers is challenging because it can be complicated.Despite this challenge, there is currently no common standard for communicating environmental information to consumers. The objective of this study is to explore the best practices for conveying environmental information. To achive this, a review of current environmental labeling approaches and recommendations available in the literature is conducted. Additionally, consumer requirements are collected and analyzed through a questionnaire that employs both quantitative and qualitative methods. The information collected is then used to develop the best practices for implementing environmental labeling for EEE.
EVALUATING REFLECTIVE BEHAVIOR IN ENGINEERING DESIGN RETROSPECTIVES: AN INITIAL CODING SCHEME
Authors: Ammersdörfer Theresa , Tartler Darien , Kauffeld Simone , Inkermann David 
Published: June 2023

AbstractConsidering transformation processes within organizations, reflection is an enabler for learning and adaption of engineering processes, methods, and tools. Moreover, reflection as a core element of agile engineering approaches. However, a sound understanding of reflection behaviors of engineers or engineering teams is lacking. In this paper we proposed a structured reflection procedure including different dimensions to reflect on. To analyse reflection behavior of engineers and engineering teams we propose a coding scheme comprising of nine behaviors. The coding scheme allows to evaluate the reflection behavior in real time and give feedbacks to improve the quality of reflection. The proposed coding scheme is initially tested within a workshop with industry partners.
EXAMINING THE BOUNDARY BETWEEN NEAR AND FAR DESIGN STIMULI
Authors: Kwon Elisa , Goucher-Lambert Kosa 
Published: June 2023

AbstractExternal sources of inspiration can promote the discovery of new ideas as designers ideate on a design task. Data-driven techniques can increasingly enable the retrieval of inspirational stimuli based on nontext-based representations, beyond semantic features of stimuli. However, there is a lack of fundamental understanding regarding how humans evaluate similarity between non-semantic design stimuli (e.g., visual). Toward this aim, this work examines human-evaluated and computationally derived representations of visual and functional similarities of 3D-model parts. A study was conducted where participants (n=36) assessed triplet ratings of parts and categorized these parts into groups. Similarity is defined by distances within embedding spaces constructed using triplet ratings and deep-learning methods, representing human and computational representations. Distances between stimuli that are grouped together (or not) are determined to understand how various methods and criteria used to define non-text-based similarity align with perceptions of 'near' and 'far'. Distinct boundaries in computed distances separating stimuli that are 'too far' were observed, which include farther stimuli when modeling visual vs. functional attributes.
EXAMINING THE ROLE AND FUTURE POTENTIAL OF DESIGN FOR DISASSEMBLY METHODS TO SUPPORT CIRCULAR PRODUCT DESIGN
Authors: Formentini Giovanni , Ramanujan Devarajan 
Published: June 2023

AbstractDesign for disassembly (DfD) approaches are crucial in supporting the industrial circular economy transition. In literature, a great amount of DfD methodologies is available, however, it is still not clear how they can be used to improve product circularity. To address this gap, our work proposed a systematic literature review of DfD methodologies applied in the field of product design with the aim to provide an overview of the topic in the last decade (i.e., from 2012 to 2022) in terms of methods applicability (i.e., design phase), required parameters and integration capability with circularity assessment. As a result, the paper shows that DfD methods are mainly used in the later design phase to improve product sustainability performances, but a method that simultaneously considers DfD and CE is currently missing. Based on the obtained results, we outlined the requirements that a new DfX method would need to consider both DfD and CE simultaneously. Finally, we proposed a modified version of the butterfly diagram in which DfD parameters are linked to CE indicators to help visualize the connection between the two areas.
EXPLOITING THE SUSTAINABILITY POTENTIAL OF MODULAR PRODUCTS BY INTEGRATING R-IMPERATIVES INTO PRODUCT LIFE PHASES
Authors: Breimann Richard , Rennpferdt Christoph , Wehrend Sven , Kirchner Eckhard , Krause Dieter 
Published: June 2023

AbstractClimate change and the growing consumption of natural resources has made it increasingly clear that engineering must focus on the development of more sustainable products. To do so, the methodologies for developing products need to address sustainability. However, many of the frequently used methodologies, such as Modular Function Deployment (MFD) or the Life Phases Modularisation (LPM), do not do that sufficiently. The product life phases, these methodologies are based, only address sustainability in the form of recycling. That is why a broader approach to sustainability, such as the R-imperatives, is not considered. Therefore, in this contribution, the model of product life phases is extended by integrating the R-imperatives. Furthermore, the module drivers resulting from the extended product life phases that are necessary to apply the MFD and the LPM are developed. Finally, the positive impact of the developed module drivers on the product architecture is shown by applying the resulting method onto an industrial example.
FEATURE-BASED METHOD TO FORMALISE ADDITIVE MANUFACTURING RELATED DATA AT THE MESOSCALE BASED ON A MEREOTOPOLOGICAL DESCRIPTION
Authors: Douin Chloe , Gruhier Elise , Kromer Robin , Christmann Olivier , Perry Nicolas 
Published: June 2023

AbstractResearch on additive manufacturing has highlighted methods and guidelines to optimise the design process and improving finished product quality. There is still room for improvement in making AM as reliable as more traditional processes when considering industrial use. In terms of manufacturing, managing print parameters properly can improve reproducibility and repeatability of a part, in addition to its fidelity to the basic geometric model. However, a topological optimised geometry requires more than good parameterisation. Efforts are therefore being made to formalise knowledge so that it is explicit and accessible to designers. This paper proposes an approach based on the spatio-temporal evolution of a geometry during printing to quantify data at the meso scale. Previous studies have been conducted on the description of features in time, space and space-time, and on the influence of their arrangement within a part. Building on this work, a parameterised test specimen was designed to measure the quantitative impact of these arrangements on the final product. The method is then presented and illustrated through a case study to help the designer with quantitative predictive values of geometric parameters.
A FRAMEWORK MODEL FOR FACILITATING DO-IT-YOURSELF DESIGN
Authors: Hoftijzer JanWillem , Keyson David 
Published: June 2023

AbstractToday's global context of mass-produced items has resulted in an increasing ‘distance’, or alienation, between people and the origins of the items they buy and use: an unhealthy human-product relationship.This observation permits the search for an alternative interpretation of well-being: a transformation that would support resilience and self sufficiency, and a better human product relationship or ‘a new partnership’, as advocated by various scholars.In this paper, this new partnership is considered through supporting ‘Do-It-Yourself’ (DIY) product design: a scenario in which professional designers facilitate laypersons to design for themselves. Anticipating (1) the designer's responsibility, and (2) the layperson's innate desire to create, this paper introduces a ‘Design for DIY’ framework method to help bridge the knowledge gap between the product designer and the layperson.The initial starting points of this study, complemented by a range of ‘Design for DIY’ studies, and an exploration of existing design frameworks and design models, resulted in the design of a ‘Design-for-DIY’ framework. This paper concludes with recommendations for the testing and further development of the Design-for-DIY framework.