bluuebunny/crossref_metadata_2025 huggingface dataset:
Ontogenetic niche shifts as a driver of seasonal migration
Authors: Fokkema Wimke , van der Jeugd Henk P. , Lameris Thomas K. , Dokter Adriaan M. , Ebbinge Barwolt S. , de Roos André M. , Nolet Bart A. , Piersma Theunis , Olff Han
Published: June 2020

Ontogenetic niche shifts have helped to understand population dynamics. Here we show that ontogenetic niche shifts also offer an explanation, complementary to traditional concepts, as to why certain species show seasonal migration. We describe how demographic processes (survival, reproduction and migration) and associated ecological requirements of species may change with ontogenetic stage (juvenile, adult) and across the migratory range (breeding, non-breeding). We apply this concept to widely different species (dark-bellied brent geese (Branta b. bernicla), humpback whales (Megaptera novaeangliae) and migratory Pacific salmon (Oncorhynchus gorbuscha) to check the generality of this hypothesis. Consistent with the idea that ontogenetic niche shifts are an important driver of seasonal migration, we find that growth and survival of juvenile life stages profit most from ecological conditions that are specific to breeding areas. We suggest that matrix population modelling techniques are promising to detect the importance of the ontogenetic niche shifts in maintaining migratory strategies. As a proof of concept, we applied a first analysis to resident, partial migratory and fully migratory populations of barnacle geese (Branta leucopsis). We argue that recognition of the costs and benefits of migration, and how these vary with life stages, is important to understand and conserve migration under global environmental change.
Evolutionary optimization of image processing for cell detection in microscopy images
Authors: Haghofer Andreas , Dorl Sebastian , Oszwald Andre , Breuss Johannes , Jacak Jaroslaw , Winkler Stephan M.
Published: June 2020

In this paper, we present a new evolution-based algorithm that optimizes cell detection image processing workflows in a self-adaptive fashion. We use evolution strategies to optimize the parameters for all steps of the image processing pipeline and improve cell detection results. The algorithm reliably produces good cell detection results without the need for extensive domain knowledge. Our algorithm also needs no labeled data to produce good cell detection results compared to the state-of-the-art neural network approaches. Furthermore, the algorithm can easily be adapted to different applications by modifying the processing steps in the pipeline and has high scalability since it supports multithreading and computation on graphical processing units (GPUs).
Tikhonov regularization of a second order dynamical system with Hessian driven damping
Authors: Boţ Radu Ioan , Csetnek Ernö Robert , László Szilárd Csaba
Published: June 2020

We investigate the asymptotic properties of the trajectories generated by a second-order dynamical system with Hessian driven damping and a Tikhonov regularization term in connection with the minimization of a smooth convex function in Hilbert spaces. We obtain fast convergence results for the function values along the trajectories. The Tikhonov regularization term enables the derivation of strong convergence results of the trajectory to the minimizer of the objective function of minimum norm.
Phosphorylation profile of human AQP2 in urinary exosomes by LC–MS/MS phosphoproteomic analysis
Authors: Sakai Masaki , Yamamoto Keiko , Mizumura Hiroaki , Matsumoto Tomoki , Tanaka Yasuko , Noda Yumi , Ishibashi Kenichi , Yamamoto Tadashi , Sasaki Sei
Published: June 2020

Background

Aquaporin-2 (AQP2) is a key water channel protein which determines the water permeability of the collecting duct. Multiple phosphorylation sites are present at the C-terminal of AQP2 including S256 (serine at 256 residue), S261, S264 and S/T269, which are regulated by vasopressin (VP) to modulate AQP2 trafficking. As the dynamics of these phosphorylations have been studied mostly in rodents, little is known about the phosphorylation of human AQP2 which has unique T269 in the place of S269 of rodent AQP2. Because AQP2 is excreted in urinary exosomes, the phosphoprotein profile of human AQP2 can be easily examined through urinary exosomes without any intervention.

Methods

Human urinary exosomes digested with trypsin or glutamyl endopeptidase (Glu-C) were examined by the liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS) phosphoproteomic analysis.

Results

The most dominant phosphorylated AQP2 peptide identified was S256 phosphorylated form (pS256), followed by pS261 with less pS264 and far less pT269, which was confirmed by the western blot analyses using phosphorylated AQP2-specific antibodies. In a patient lacking circulating VP, administration of a VP analogue showed a transient increase (peak at 30–60 min) in excretion of exosomes with pS261 AQP2.

Conclusion

These data suggest that all phosphorylation sites of human AQP2 including T269 are phosphorylated and phosphorylations at S256 and S261 may play a dominant role in the urinary exosomal excretion of AQP2.
Automated digital data acquisition for landslide inventories
Authors: Kreuzer Thomas M. , Damm Bodo
Published: June 2020

Landslide research relies on landslide inventories for a multitude of spatial, temporal, or process analyses. Generally, it takes high effort to populate a landslide inventory with relevant data. In this context, the present work investigated an effective way to handle vast amounts of automatically acquired digital data for landslide inventories by the use of machine learning algorithms and information filtering. Between July 2017 and February 2019, a keyword alert system provided 4381 documents that were automatically processed to detect landslide events in Germany. Of all those documents, 91% were automatically recognized as irrelevant or duplicates; thereby, the data volume was significantly reduced to contain only actual landslide documents. Moreover, it was shown that inclusion of the document’s images into the automated process chain for information filtering is recommended, since otherwise unobtainable important information was found in them. Compared with manual methods, the automated process chain eliminated personal idiosyncrasies and human error and replaced it with a quantifiable machine error. The applied individual algorithms for natural language processing, information retrieval, and classification have been tried and tested in their respective fields. Furthermore, the proposed method is not restricted to a specific language or region. All languages on which these algorithms are applicable can be used with the proposed method and the training of the process chain can take any geographical restriction into account. Thus, the present work introduced a method with a quantifiable error to automatically classify and filter large amounts of data during automated digital data acquisition for landslide inventories.
Breast cancer care during a pandemic: an opportune time for cryoablation?
Authors: Holmes Dennis R.
Published: June 2020

Purpose

Cryoablation is a minimally-invasive percutaneous procedure that is capable of reducing the psychosocial burden of surgical delay while also decreasing the morbidity of breast cancer therapy. The purpose of this editorial is to discuss the potential role of cryoablation for reducing the psychosocial burden of surgical delay during the COVID-19 pandemic by expediting the management of breast cancer while also lessening demand on limited healthcare resources.

Methods

This editorial critiques current expert opinion recommendations that aim to reduce viral transmission and preserve healthcare resources during the COVID-19 pandemic by advocating delay of elective breast cancer surgery.

Results

The editorial summarizes the current state of the evidence that supports the selective use of cryoablation as a definite or stopgap measure in the management of breast cancer during the COVID-19 pandemic or when healthcare resources are limited.

Conclusions

As an office-based procedure performed under local anesthesia, cryoablation eliminates the need for operating room personnel and equipment while also reducing the psychosocial impact of delayed breast cancer surgery. By reducing the number of patient and healthcare provider interactions, cryoablation not only decreases the risk of viral transmission but also the need for personal protective devices during resource-limited times.
Writer’s uncertainty identification in scientific biomedical articles: a tool for automatic if-clause tagging
Authors: Omero Paolo , Valotto Massimiliano , Bellana Riccardo , Bongelli Ramona , Riccioni Ilaria , Zuczkowski Andrzej , Tasso Carlo
Published: June 2020

In a previous study, we manually identified seven categories (verbs, non-verbs, modal verbs in the simple present, modal verbs in the conditional mood, if, uncertain questions, and epistemic future) of Uncertainty Markers (UMs) in a corpus of 80 articles from the British Medical Journal randomly sampled from a 167-year period (1840–2007). The UMs detected on the base of an epistemic stance approach were those referring only to the authors of the articles and only in the present. We also performed preliminary experiments to assess the manual annotated corpus and to establish a baseline for the UMs automatic detection. The results of the experiments showed that most UMs could be recognized with good accuracy, except for the if-category, which includes four subcategories: if-clauses in a narrow sense; if-less clauses; as if/as though; if and whether introducing embedded questions. The unsatisfactory results concerning the if-category were probably due to both its complexity and the inadequacy of the detection rules, which were only lexical, not grammatical. In the current article, we describe a different approach, which combines grammatical and syntactic rules. The performed experiments show that the identification of uncertainty in the if-category has been largely double improved compared to our previous results. The complex overall process of uncertainty detection can greatly profit from a hybrid approach which should combine supervised Machine learning techniques with a knowledge-based approach constituted by a rule-based inference engine devoted to the if-clause case and designed on the basis of the above mentioned epistemic stance approach.
Air Pollution and Sea Pollution Seen from Space
Authors: Viatte Camille , Clerbaux Cathy , Maes Christophe , Daniel Pierre , Garello René , Safieddine Sarah , Ardhuin Fabrice
Published: June 2020

Air pollution and sea pollution are both impacting human health and all the natural environments on Earth. These complex interactions in the biosphere are becoming better known and understood. Major progress has been made in recent past years for understanding their societal and environmental impacts, thanks to remote sensors placed aboard satellites. This paper describes the state of the art of what is known about air pollution and focuses on specific aspects of marine pollution, which all benefit from the improved knowledge of the small-scale eddy field in the oceans. Examples of recent findings are shown, based on the global observing system (both remote and in situ) with standardized protocols for monitoring emerging environmental threats at the global scale.
Making Sense of Maritime Simulators Use: A Multiple Case Study in Norway
Authors: Pan Yushan , Oksavik Arnfinn , Hildre Hans Petter
Published: June 2020

This paper reports a multiple case study of a training center collaboration with three offshore companies and a coastline authority. Through a qualitative inquiry, we utilized the actor-network theory to analyze the common understanding of simulator use in these organizations. The paper argues that the simulator itself is an actor that can integrate shared interests with other actors to establish an actor-network. Such an actor-network expands simulator use beyond purely training purposes. It advocates that the simulator is a medium between maritime academia and industry and aligns it with the same actor-network to facilitate the process of “meaning construction.” Such a meaning construction process offers simulator-based training with a valuable definition of the learning outcomes. It helps clarifying who will gain the benefits from simulator use in the future, as well as when and on what basis. The paper also reflects on the benefits and limitations of utilizing a multiple case study in the maritime domain.
Spacelike deformations: higher-helicity fields from scalar fields
Authors: Morinelli Vincenzo , Rehren Karl-Henning
Published: June 2020

In contrast to Hamiltonian perturbation theory which changes the time evolution, “spacelike deformations” proceed by changing the translations (momentum operators). The free Maxwell theory is only the first member of an infinite family of spacelike deformations of the complex massless Klein–Gordon quantum field into fields of higher helicity. A similar but simpler instance of spacelike deformation allows to increase the mass of scalar fields.
Human Rights, Legitimacy, Political Judgement
Authors: Hall Edward , Tsarapatsanis Dimitrios
Published: June 2020

This paper grapples with Bernard Williams’sprima vistaenigmatic assertion that ‘[w]hether it is a matter of good philosophical sense to treat a practice as a violation of human rights, and whether it is politically good sense, cannot ultimately constitute two separate questions’. Though Williams’s approach to thinking about human rights has a number of affinities with other ‘political’ and ‘minimalist’ understandings, we highlight its distinctive features and argue that it has significant implications for our understanding of human rights along a number of key dimensions. We then proceed to explain how Williams’s way of thinking about human rights coheres with certain aspects of the reasoning of one of the most important international human rights courts, to wit, the European Court of Human Rights. This lends further plausibility to the view that a politically realistic understanding of human rights, of the kind urged by Williams, should be taken seriously, since it is a plausible candidate for the explanation of important aspects of human rights practices. We close by examining the suggestion that thinking in these terms is worryingly conservative.
Formal and informal financing decisions of small businesses
Authors: Nguyen Bach , Canh Nguyen Phuc
Published: June 2020

This study investigates small businesses’ financing decisions. Drawing upon asymmetric information theory, institutional theory and relevant literature on cognitive financial constraints, human capital and social capital, we propose a theoretical framework in which financing determinants come from three dimensions: entrepreneurs’ individual factors, organisational (firm-level) factors and contextual (institutional) factors. We employ this model to distinguish four types of firms: (1) firms that use no external finance, (2) firms that use informal finance only, (3) firms that use formal finance only and (4) firms that use both formal and informal finance. An empirical test on Vietnamese small businesses shows that factors from all three dimensions are important in understanding small businesses’ financing decisions.
Prunus trees in Germany—a hideout of unknown fungi?
Authors: Bien Steffen , Damm Ulrike
Published: June 2020

Prunus belongs to the economically most important genera of fruit crops in Germany. Although wood pathogens possess the capability to damage the host substantially, the knowledge of the fungal pathogenic community and the mycobiome of Prunus wood in general is low. During a survey in important fruit production areas in Germany, branches with symptoms of fungal infection were sampled in Prunus avium, P. cerasus and P. domestica orchards, and 1018 fungal isolates were obtained primarily from the transition zone of symptomatic to non-symptomatic wood. By a combination of blastn searches and phylogenetic analyses based on ITS and LSU sequences with a strong focus on reliable reference data, a diversity of 172 fungal taxa belonging to Ascomycota, Basidiomycota and Mucoromycota were differentiated. The majority of the strains belonged to three classes of Ascomycota, namely Sordariomycetes, Leotiomycetes and Dothideomycetes. The dominant species were Aposphaeria corallinolutea (Dothideomycetes) and Pallidophorina paarla (Leotiomycetes) that were isolated more than a hundred times each, while all other taxa were isolated ≤ 30 times. Only part of them could be identified to species level. Because of the high plasticity of species boundaries, the identification certainty was divided into categories based on nucleotide differences to reference sequences. In total, 82 species were identified with high and 20 species with low (cf.) certainty. Moreover, about 70 species could not be assigned to a known species, which reveals Prunus wood to represent a habitat harbouring high numbers of potentially new species, even in a well-explored region like Germany.
Evaluation of sex differences in patients with ST-elevated myocardial infarction: an observational cohort study in Amsterdam and surrounding region
Authors: Kerkman T. , ten Brinke L. B. G. , Huybrechts B. , Adams R. , Amoroso G. , de Winter R. J. , Appelman Y.
Published: June 2020

Introduction

Women with ST-elevation myocardial infarction (STEMI) present with different symptoms compared to men. This can result in delays in diagnosis and in the timely treatment of women. The aim of this study is to examine these differences, including the short- and long-term mortality in women and men.

Methods

This quality registry study included all patients with STEMI who received primary percutaneous coronary intervention in 2015 or 2016 in Amsterdam and the surrounding region.

Results

Three PCI centres and the Emergency Medical Service in Amsterdam participated. In total, 558 men (71%) and 229 women (29%) were included. Women were on average 7 years older than men (68 vs 61 years, p < 0.001), and suffered more often from hypertension (46% vs 34%, p = 0.002) and monovascular disease (69% vs 57%, p = 0.002). A higher percentage of men were current smokers (41% vs 49%, p = 0.043). Patient delay, system delay and overall ischaemic times were similar in both women and men (medians: 51, 94 and 157 min, respectively). Initiation of treatment was achieved within 90 min after STEMI diagnosis in 85% of patients (87% in women, 85% in men). Thirty-day and 1‑year mortality adjusted hazard ratio for women versus men was 1.60 (95% CI 0.9–3.0) and 1.24 (95% CI 0.8–2.0), respectively.

Discussion

Recognition of cardiac complaints remains challenging for patients. In the Amsterdam region, time delays and mortality were not significantly different between men and women presenting with STEMI. These results are in contrast to findings in similar registries. This suggests that implementation of current knowledge and national campaigns are effective in increasing awareness of the signs and symptoms suggestive of myocardial infarction.
Sea-ice production and air/ice/ocean/biogeochemistry interactions in the Ross Sea during the PIPERS 2017 autumn field campaign
Authors: Ackley S. F. , Stammerjohn S. , Maksym T. , Smith M. , Cassano J. , Guest P. , Tison J.-L. , Delille B. , Loose B. , Sedwick P. , DePace L. , Roach L. , Parno J.
Published: June 2020

The Ross Sea is known for showing the greatest sea-ice increase, as observed globally, particularly from 1979 to 2015. However, corresponding changes in sea-ice thickness and production in the Ross Sea are not known, nor how these changes have impacted water masses, carbon fluxes, biogeochemical processes and availability of micronutrients. The PIPERS project sought to address these questions during an autumn ship campaign in 2017 and two spring airborne campaigns in 2016 and 2017. PIPERS used a multidisciplinary approach of manned and autonomous platforms to study the coupled air/ice/ocean/biogeochemical interactions during autumn and related those to spring conditions. Unexpectedly, the Ross Sea experienced record low sea ice in spring 2016 and autumn 2017. The delayed ice advance in 2017 contributed to (1) increased ice production and export in coastal polynyas, (2) thinner snow and ice cover in the central pack, (3) lower sea-ice Chl-aburdens and differences in sympagic communities, (4) sustained ocean heat flux delaying ice thickening and (5) a melting, anomalously southward ice edge persisting into winter. Despite these impacts, airborne observations in spring 2017 suggest that winter ice production over the continental shelf was likely not anomalous.
DISTORTION RISKMETRICS ON GENERAL SPACES
Authors: Wang Qiuqi , Wang Ruodu , Wei Yunran
Published: June 2020

The class of distortion riskmetrics is defined through signed Choquet integrals, and it includes many classic risk measures, deviation measures, and other functionals in the literature of finance and actuarial science. We obtain characterization, finiteness, convexity, and continuity results on general model spaces, extending various results in the existing literature on distortion risk measures and signed Choquet integrals. This paper offers a comprehensive toolkit of theoretical results on distortion riskmetrics which are ready for use in applications.
Relations between Emotional Expressivity Dimensions and DSM-5 Post-traumatic Stress Disorder Symptom Clusters in a Trauma-Exposed Community Sample
Authors: Jin Ling , Dolan Megan , Contractor Ateka A. , Weiss Nicole H. , Dranger Paula
Published: June 2020

Background and Objective. A growing body of literature indicates a significant contribution and role of positive and negative emotions (specifically expressivity) in post-traumatic stress disorder's (PTSD) symptomatology. The current study examined the facet-level relationships between emotional expressivity and PTSD. Specifically, we investigated which emotional expressivity dimension (impulse strength, negative emotional expressivity, and positive emotional expressivity) most strongly related to DSM-5 PTSD symptom clusters severity (intrusions, avoidance, negative alterations in cognition and mood, and alterations in arousal and reactivity).Methods. The sample of 123 trauma-exposed participants seeking mental health treatment completed the PTSD Checklist for DSM-5 (PCL-5) and the Berkeley Expressivity Questionnaire (BEQ).Results. Results of multivariate multiple regression analysis indicated that only intensity of emotion and difficulty in controlling such emotions (i.e., impulse strength) was strongly related to all four PTSD symptom clusters. The valence of emotional expressivity (positive or negative) was not related to any of the PTSD symptom clusters.Conclusions. Study findings highlight the role of emotional expressivity, specifically impulse strength, in PTSD's symptomatology and may inform guidelines for emotion-focused clinical work for trauma-exposed individuals with PTSD symptoms.
Substance Use and Involvement in Situations of Violence: A Typological Study of a Brazilian Population-Based Sample
Authors: Komatsu André Vilela , Costa Rafaelle Carolynne Santos , Galinari Lais Sette , Carpio de la Torre Renato , Bazon Marina Rezende
Published: June 2020

Substance use in adolescence relates to other problems such as involvement in violence and mental/physical health problems. This study aimed to identify substance use patterns in a considerable sample of Brazilian adolescents and to estimate the magnitude of the relationship between each pattern and violence involvement indicators, as aggressor and/or as victim, and of mental and general health. The data analyzed were collected from 6702 schoolchildren, within the scope of the National Survey of School Health, employing latent class analysis for reports of alcohol, tobacco, marijuana and crack cocaine use. The five groups identified were compared regarding their involvement in violence and mental and general health aspects.Abstainers(18%) would neither make use of substances, nor be involved in violence or display health problems.Drinkers(26%) would tend to only make use of alcohol, but would not display the other problems either.Conventional Drug Users(28%) would tend to make use of alcohol and tobacco or alcohol and marijuana and would also be involved in violence, but would not display health problems.Polysubstance Users(23%) would tend to make use of alcohol, tobacco and marijuana and would be more frequently involved in violence.Hard Drug Users(5%) would tend to make frequent use of all substances in addition to also being more involved in violence, both as aggressor and victim, and would display mental/general health problems. Our findings reveal different levels of problems and reinforce the importance of varied prevention/treatment policies in order to meet specific demands.
The role of technology in governance: The example of Privacy Enhancing Technologies
Authors: McCarthy Natasha , Fourniol Franck
Published: June 2020

The collection of data, its analysis, and the publication of insights from data promise a range of benefits, but can carry risks for individuals and organizations. This paper sets out considerations regarding the potential role for technologies in governance of data use, and some key limitations. The paper examines the potential of Privacy Enhancing Technologies (PETs) to support organizations and institutions that handle data in governing data use, and considers their role based on their current state of development and the trajectory of technological development. This involves consideration both of how these technologies can potentially enable governments and others to unlock the value of data, and also recognition of both contingent and in principle limitations on the role of PETs in ensuring well-governed use of data.
FRAMEWORK OF AN AMBIDEXTROUS PROCESS OF IDEA MANAGEMENT SUPPORTING THE DOWNSTREAM PRODUCT DEVELOPMENT PROCESS
Authors: Herrmann T. , Roth D. , Binz H.
Published: June 2020

One challenge within idea management of the front end of the design process is the handling of radical ideas, meaning ideas with a high degree of novelty. Companies are approaching radical and incremental ideas frequently with the same methods, although many reasoned claims exists for treating ideas differently according to the degree of novelty. The paper aims to address the fact that ambidexterity does not play any specific role in the front end. Therefore, a framework of an extended idea process model based on the idea of ambidexterity is shown and initial test results are presented.
AUTONOMOUS SHUTTLES FOR URBAN MOBILITY ON DEMAND APPLICATIONS – ECOSYSTEM DEPENDENT REQUIREMENT ELICITATION
Authors: Grahle A. , Song Y.-W. , Brüske K. , Bender B. , Göhlich D.
Published: June 2020

Future transport will change drastically with the introduction of automated vehicles. Here, Autonomous Mobility on Demand (AMoD) will play a major role, requiring a radical change of vehicle design, with many different conceivable concepts. This technology shift holds high potentials and high risks. Uncertainties about future usage profiles, operator and customer requirements have to be dealt with. An approach to elicit initial requirements for future vehicle concepts considering the entire ecosystem is introduced. The applicability is shown for a specific urban mobility scenario.
CONTEXT-SPECIFIC AGILE PROCESS DESIGN TO SUPPORT THE PLANNING OF PRODUCT DEVELOPMENT PROJECTS
Authors: Baschin J. , Huth T. , Vietor T.
Published: June 2020

Modern products are often developed in local distributed teams involving various engineering domains. As a result, product development processes are characterized by a high degree of complexity and individuality. However, the project context is often not integrated into the project planning, which can lead to uncertainties in the processes. In addition, reflection does not take place adequately in process execution. Therefore, this paper presents a concept for agile process design that enables reducing uncertainties based on context-specific reflections and adapting the processes.
A CONCEPTUAL FRAMEWORK OF PRODUCT-SERVICE SYSTEMS DESIGN FOR SUSTAINABILITY TRANSITIONS
Authors: Mitake Y. , Hiramitsu K. , Nagayama A. , Muraoka N. , Sholihah M. , Shimomura Y.
Published: June 2020

Product-service systems (PSSs) are regarded as one of the promising ways to contribute to a sustainable society. Despite the well-developed knowledge, PSS design lack of long-term perspective to treat related changes and uncertainties. To address this issue, this paper proposes a conceptual framework of sustainable PSS design for sustainability transition by integrating insight from design approach for system innovation and transition. Applicability of the proposed framework is illustrated through application to example of PSS development project for wildlife nuisance in a suburban city.
TOWARD A COMPREHENSIVE DEFINITION OF THE NON-USER
Authors: Augustin L. , Kokoschko B. , Wiesner M. , Schabacker M.
Published: June 2020

The user has been very well defined over the last decades. With human-centered design becoming more widely applied within various industries, the user's needs are being taken into account more than ever. What is often overlooked is the user's counterpart: the non-user. Integrating the non-user into modern development projects provides great additional value. This paper is compiling current definitions in order to analyse them within the context of product development and to make a contribution toward a comprehensive definition of the non-user that can be applied to various disciplines.
MAPPING IMPACT OF DESIGN THINKING IN TEAMWORK, PROBLEM-SOLVING AND CREATIVITY
Authors: Guaman-Quintanilla S. , Chiluiza K. , Everaert P. , Valcke M.
Published: June 2020

The present study analyzes the impact of a Design Thinking course on undergraduate students during an academic term. The impact was measured on three key outcomes: teamwork, problem-solving and creativity; using VALUE rubrics. The evaluation was carried out at three different moments during the course. Three types of evaluators participated: facilitators, students (self-evaluation) and peers. The results show statistically significant improvement on the three outcomes comparing students’ initial and final performance. Despite the promising results, the current study has some limitations.
A DESIGN SUPPORT TOOL FOR IMPROVING MAINTENANCE SCHEDULING PROCESS
Authors: Khalid W. , Soleymani I. , Sigsgaard K. V. , Hansen K. B. , Agergaard J. K. , Mortensen N. H.
Published: June 2020

The challenge of user requirements for maintenance scheduling design in large asset-intensive industries suffers from lack of academic and empirical studies. Therefore, using a representative case study, this paper aims to: (1) identify the current practices and complex scheduling requirements; (2) propose a design support tool to optimize the maintenance scheduling process; and (3) report the gained benefits. The results reveal that the proposed tool can decrease the resource requirements, increase the capacity utilization, and reduce the cost while addressing the complex user requirements.
DESIGN-FOR-COST-AND-ENVIRONMENT: ONTOLOGICAL ANALYSIS AND COMPARISON OF SERVICE REPRESENTATION APPROACHES
Authors: Villanueva M. , Yannou B. , Leroy Y. , Cluzel F. , Vautier M. , Vaija S.
Published: June 2020

Brought by the need for competent approaches to assess the financial cost and environmental impact towards service design-for-cost-and-environment, this paper investigates on the following service representation approaches: Service Blueprinting, Process Chain Network, Business Process Model & Notation, and Customer Journey Mapping. An ontological analysis further compares their similarities and differences. Lastly, a table summarizes the findings, were further insights could be drawn to help service companies be more aware of both their spending and ecological responsibility.
TOWARDS A FRAMEWORK FOR INTEGRATED AND COLLABORATIVE KNOWLEDGE MANAGEMENT FOR ENGINEERING DESIGN – A CASE STUDY
Authors: Fatfouta N. , Stal-Le Cardinal J.
Published: June 2020

In automotive industry, the design process is costly and time-consuming. Car safety is a crucial factor in the development of a vehicle, which is why crash simulation is an essential step in the design process. To improve car crash simulation analysis, it is necessary to reduce the time required and support the resolution of encountered design issues. We propose a knowledge management approach to support car crash simulation analysis and ensure the collaboration of different stakeholders. In a knowledge-intensive context, we used an ontology-based approach to formalise and capture knowledge.
VALUE SENSITIVE DESIGN IN THE DEVELOPMENT OF DRIVERLESS VEHICLES: A CASE STUDY ON AN AUTONOMOUS FAMILY VEHICLE
Authors: Graubohm R. , Schräder T. , Maurer M.
Published: June 2020

Complex new functionalities and dissimilar stakeholder groups pose challenges to the requirement analysis for driverless vehicles. To overcome these challenges, we propose a value-oriented reference process for innovative functionalities of an autonomous family vehicle. The value-oriented measures are taken from the approach of Value Sensitive Design. In our application, we have found that the consideration of the human values involved is of great importance for the identification of stakeholders and the management of their potentially conflicting interests throughout the development process.
FINDING THE LAND, PLANTING FIRST SEEDS; LEAD USER RESEARCH IN EARLY STAGE DESIGN FOR INTELLIGENT ECOSYSTEMS
Authors: Pannunzio V. , Kleinsmann M. , Duarte C. , Snelders D.
Published: June 2020

This contribution explores the potential of lead user research for early-stage designing for intelligent ecosystems through a literature review and a single case study concerning a lead user research initiative on blood pressure monitoring. The results suggest advantages of executing lead user research in early-stage designing for intelligent ecosystems from the points of view envisioning broad initial ecosystem boundaries, developing first intelligence components, and overcoming research challenges related to technical issues.
THE EFFECT OF TIME PRESSURE ON THE PERFORMANCE OF DEXTEROUS OPERATIONS
Authors: Pooripanyakun M. , Wodehouse A. , Mehnen J.
Published: June 2020

This study explores the effects of time pressure in dexterous operations on two types of interface: the fixed interface and the moving interface. Results show that the accuracy of finger movement is decreased, the information processing on the sense of sequence, position and direction is worsened by the psychological disturbance. The findings indicate that a fixed interface is more robust to performance and participants can learn and perform tasks quicker than a moving interface. Finally, the researchers give some practices on both fixed and moving interface design.
MANAGING MARGINS: OVERDESIGN IN HOSPITAL BUILDING SERVICES
Authors: Jones D. A. , Eckert C. , Garthwaite P.
Published: June 2020

The capacity of building services in many hospitals exceeds the requirements by significant amounts. Oversizing of building services has a direct impact on building efficiency and operational costs, ultimately impacting upon patient care, by diverting much needed funding. A key factor leading to the oversizing is the excessive and uncoordinated application of design margins across various project stages. Based on a hospital case study, this paper analyses the reasons for the overdesign of a replacement cooling system and raises the importance of managing margins activity to avoid overdesign.
INVESTIGATING INTER-RATER RELIABILITY OF QUALITATIVE TEXT ANNOTATIONS IN MACHINE LEARNING DATASETS
Authors: El Dehaibi N. , MacDonald E. F.
Published: June 2020

An important step when designers use machine learning models is annotating user generated content. In this study we investigate inter-rater reliability measures of qualitative annotations for supervised learning. We work with previously annotated product reviews from Amazon where phrases related to sustainability are highlighted. We measure inter-rater reliability of the annotations using four variations of Krippendorff's U-alpha. Based on the results we propose suggestions to designers on measuring reliability of qualitative annotations for machine learning datasets.
IMMERSIVE ABSTRACTION: A NEW MORPHOLOGY OF INTUITIVE INTERACTION WITH SYSTEM MODELS
Authors: Gräßler I. , Pottebaum J.
Published: June 2020

The value of models is well recognised in product and systems engineering. Modelling languages and diagrams are used to capture mental models and to handle model complexity. Literature research indicates that there are only very few approaches to utilise the potential of virtual and augmented reality for supporting tasks in model based (systems) engineering. The paper at hand contributes a new morphology of intuitive interaction for Immersive Abstraction as a holistic approach to extend that coverage. It presents a holistic framework to categorise solutions and future research directions.
REQUIREMENTS FOR DIAGRAMING IN THE DESIGN OF MENTAL HEALTH DELIVERY SERVICES
Authors: Komashie A. , Clarkson P. J.
Published: June 2020

Delivering good quality mental health services remains a top priority in the English National Health Service (NHS). An approach to designing better delivery systems that takes into account the complexities of mental health services is highly desirable. This paper follows previous work that have sought to identify the key components of mental health delivery systems and explored the nature of the relationships between them. The paper presents the results of a qualitative thematic analysis of the requirements for diagrams as tools for describing and representing delivery systems in mental health.
DISCERNING BEHAVIOURAL DESIGN: A CONCEPTUAL MODEL
Authors: Khadilkar P. R. , Cash P.
Published: June 2020

Behavioural design has emerged as an important domain of design practice and research due to its ability to deliver the desired outcomes beyond technical designs. Research on behavioural design is not successful in discerning it from other design domains, which is important for theory building. This paper discerns the unique characters of behavioural design by tracing the emergence of behaviour in design. Twelve interviews from six behaviour design cases belonging to four firms has been used to further discern the unique characteristics resulting into the conceptual model of behavioural design
MODULARITY, ROBUSTNESS, AND CHANGE PROPAGATION: A MULTIFACETED RELATION
Authors: Piccolo S. A. , Lehmann S. , Maier A. M.
Published: June 2020

Increased system robustness is one of the promises of modularity. However, research on the topic has provided conflicting findings. By generating more than 2000 system architectures, this paper shows that the relation between modularity and robustness is multifaceted: Modularity decreases topological robustness, increases robustness to change propagation, and provides economic benefits. Results here confirm the importance of modularity, enable reconciliation of opposing findings from prior research, and guides researchers and practitioners in the selection of appropriate robustness measures.
PROMOTING GRADUATE AND PROFESSIONAL ATTRIBUTES BY COORDINATING KOLBIAN REFLECTIONS FOR INDUSTRIAL DESIGN AND ENGINEERING STUDENTS
Authors: Mina M. , Cowan J. , Fila N. D. , Theh W. S.
Published: June 2020

This work features challenges of using integrated reflections in undergraduate Industrial Design and Engineering. Reflection activities can be challenging for the students and hard to implement in design and engineering classes. This report has two goals. The first is to introduce a process for more successful engagement for the students in problem solving and design. The second is to show that the process has validity and usefulness for Industrial Design students who are in a College of Design.
DO ALL CREATIVE STIMULI WORK THE SAME? INSIGHTS FROM A WORKSHOP WITH PROFESSIONALS
Authors: Singh H. , Becattini N. , Cascini G.
Published: June 2020

The paper presents a comparative study that explores the effectiveness of creative stimuli to foster the generation of creative ideas in non-trained professionals during a co-creative design session. Solution-related stimuli (e.g. patents or biological strategies) are confronted with problem-based stimuli (e.g. TRIZ contradictions or Ideal Final Result), which are less studied in the literature. The 40 participants to the experimental activity benefited from both kind of stimuli, but the solution-related ones allowed a more comprehensive exploration of the design space.
FACTORS INFLUENCING THE DECISION OF CONVENTIONAL/HYBRID LIGHTWEIGHT DESIGN STRATEGIES AND THEIR EFFECT ON THE DESIGN PROCESS
Authors: Schmitt P. , Gericke K.
Published: June 2020

Lightweight design (LWD) is partly reaching its limits. New technologies must not only be used to make products more functional, but also to make LWD more efficient. Here additive manufacturing (AM) should be named. Potentials of the use in LWD are not yet clear. In this work, existing LWD strategies and their location in the design process are presented. Criteria are worked out which influence the design process and the use of LWD strategies. The use of AM in (hybrid) LWD will be investigated in order to overcome design trade-offs and what influence its use could have on the design process.
AN APPROACH FOR THE MULTI-CRITERIA DERIVATION OF LIGHTWEIGHT POTENTIAL
Authors: Laufer F. , Roth D. , Binz H.
Published: June 2020

Lightweight potential is a powerful indicator – but not as powerful as it could be. Current methods for analyzing a product's potential to be reduced in mass only deal with a few of the most important criteria for lightweight design. This paper presents an approach transferring cost-benefit analysis to the holistic derivation of lightweight potential. The approach is able to deal with different types of criteria supporting the designer in indentifying the most promising components for mass reduction. An evaluation example is given showcasing a tooling machine.
AN ASSUMPTION NETWORK-BASED APPROACH TO SUPPORT MARGIN ALLOCATION AND MANAGEMENT
Authors: El Fassi S. , Guenov M. D. , Riaz A.
Published: June 2020

Presented is an approach to support margin allocation and management via a graph-theoretical network of assumptions. In contrast to the document-centric approach, the network captures assumptions dependencies, and enables an algorithmic process supporting margin allocation and management. Ultimately, this methodology is intended to assist decision-makers in managing assumptions and examining their impact on an architecture. Explicitly linking margins to assumptions allows to support mitigating their risk of invalidity. The approach is demonstrated with a conceptual aircraft design example.
DEVELOPMENT OF DECISION TOOL FOR A PROBLEM-SOLVING ACTIVITY USING PAIRWISE COMPARISON TECHNIQUE TO SUPPORT AN INTUITIVE DECISION
Authors: Tanaiutchawoot N. , Bursac N. , Gross J. , Rapp S. , Albers A.
Published: June 2020

Pairwise comparison is basically used to prioritize alternatives and select a solution in product development. Decision errors can happen when the amount of processing information increases. This research proposes an assisted decision tool to prioritize alternatives by using the pairwise comparison technique and a Quicksort algorithm. This software was evaluated in the product development workshop that aims to select the component to further develop in the new product generation. This tool provides high-reliability results, reduces procedure time and is a user-friendly interactive interface.
MULTI-OBJECTIVE OPTIMIZATION OF HOSE ASSEMBLY ROUTING FOR VEHICLES
Authors: Wehlin C. , Persson J. A. , Ölvander J.
Published: June 2020

This paper presents a method for multi-objective optimization of hose assembly routing. Hose routing is a non-trivial task which demand a lot of iterations, especially with the increased complexity in modern vehicles. The proposed method utilizes design automation through multi-objective optimization of routing assemblies containing multiple hoses. The method is intended as a decision support and automation-tool, that reduces the number of iterations needed. The method has been implemented and tested on a case, concerning a set of hoses in an engine compartment, showing credible results.
DESIGN READINESS OF MULTI-MATERIAL CONCEPTS: MANUFACTURING AND JOINING TECHNOLOGY INTEGRATED EVALUATION OF CONCEPT MATURITY LEVELS USING CARDINAL COEFFICIENTS
Authors: Revfi S. , Wilwer J. , Behdinan K. , Albers A.
Published: June 2020

Maturity levels of components in early phases of product development are often assessed with Technology Readiness Levels. However, developing Multi-Material-Design (MMD) concepts for lightweight design, not only the manufacturability of the individual components is decisive, but also their joinability with each other and their integration into the rest system. This paper presents an approach for the evaluation of maturity levels of MMD concepts on the basis of cardinal coefficients considering a time forecast of the manufacturing and joining technologies required in the concept.
BUSINESS MODEL INNOVATION FOR CIRCULAR ECONOMY: INTEGRATING LITERATURE AND PRACTICE INTO A PROCESS MODEL
Authors: Pieroni M. P. P. , McAloone T. C. , Pigosso D. C. A.
Published: June 2020

To implement circular economy, manufacturers will need to develop new business models. Available approaches are granular, generic, infrequently focusing on advice or implementation, and lacking practical demonstration. This article presents how a tool was proposed to cover these gaps. Based on design research methodology, twenty-two conceptual and practical requirements were identified and translated in functions for the development of the Circular Economy Business Model Configurator, a tool that supports manufacturers in strengthening proposals of business models for circular economy.
ARE AI TOOLS GOING TO BE THE NEW DESIGNERS? A TAXONOMY FOR MEASURING THE LEVEL OF AUTOMATION OF DESIGN ACTIVITIES
Authors: Altavilla S. , Blanco E.
Published: June 2020

The digitalisation of the industry offers new opportunities to discuss design activities and support tools. Advancement in AI allows thinking about new Designer-AI tools interaction in the design process. The paper aims to initiate a characterisation of tools issued from researches in the application of AI in Design to rethink the division of work between Designer-AI tools. The paper is based on the literature on the concept of Levels of Automation in cognitive engineering, manufacturing and robotics, and proposes a grid of characterisation of the Level of Automation for the design process.
BENCHMARKING OF RISK MANAGEMENT METHODS WITH REGARD TO VARIATIONS AS A SOURCE OF RISK
Authors: Rapp S. , Altner M. , Albers A.
Published: June 2020

When developing new systems, there is always some kind of reference to existing systems. Various approaches aim at describing qualitatively different characteristics of such connections, often depicted as some form of variation. Among other things, this is done with regard to innovation potential and development risk. In this paper, we investigate the extent to which established methods of risk management refer to modelling approaches for variations by means as mentionend above. After a litertaure search 11 methods and method clusters are analyzed more in detail within a method benchmark.
AN EYE-TRACKING SUPPORTED INVESTIGATION INTO THE ROLE OF FORMS OF REPRESENTATION ON DESIGN EVALUATIONS AND AFFORDANCES OF ORIGINAL PRODUCT FEATURES
Authors: Berni A. , Maccioni L. , Borgianni Y.
Published: June 2020

The paper investigates the relationship between the forms through which products are represented and the outcomes of evaluations made by observers. In particular, the study focuses on perceived affordances of creative designs, meant as the capability of capturing original elements and corresponding functions, for products presented through static images or videos. Also thanks to the use of Eye Tracking, the experimental results show how dynamic effects that involve salient aspects of products, as well as creative features, are critical to observers’ capability of capturing design intentions.