bluuebunny/crossref_metadata_2025_split huggingface dataset:
WHEN WORLDS COLLIDE – A COMPARATIVE ANALYSIS OF ISSUES IMPEDING ADOPTION OF AGILE FOR HARDWARE
Authors: Peterson Matthew , Summers Joshua 
Published: August 2021

AbstractThe objective of this paper is to explore challenges identified for implementation of scrum for hardware development intersect with agile principles found in the literature. A series of comparative analyses are done at the textual level, through logical intersections, and through thematic analysis. It is shown that there are five underlying themes found across two sets of scrum challenges (constraints of physicality and the 13 principles). These five themes include: flexiblity, chunkability, scalability, endurability, and teamability. These five themes further are found related to the defining principles of the agile manifesto. Using this understanding, future efforts will include empirical case study work to determine the impact that these have on application of scrum methods and tools. Additionally, guidelines should be developed to help hardware product engineers in applying scrum.
CONCEPT FOR A PERSONA DRIVEN RECOMMENDATION TOOL FOR PROCESS MODELLING APPROACHES
Authors: Helten Katharina , Eckert Claudia , Gericke Kilian , Vermaas Pieter 
Published: August 2021

AbstractIn order to ensure successful product development processes, manifold modelling approaches have been developed, which cover a wide range of aspects such as responsibilities, duration of activities and dependencies. Still, an industry standard does not exist. Users of process modelling approaches are driven by different targets depending on the respective role. Currently, practitioners need to evaluate strengths and weaknesses of each approach by themselves and find little guidance for the selection.As a consequence, users might select unsuitable approaches and do not get the expected result. Thus, the intended applications of the model such as analyses or an optimization of the process are hampered. This could heavily affect companies´ success by product or project failures.The paper shows the concept of a recommendation tool that enables a suitable and effective selection of process modelling approaches. Key element is the description of relevant use cases and personas that represent the various needs of both different company types as well as different roles within such as process modellers and users. By identifying the most relevant case, each practitioner will be successfully guided to the most suitable modelling approach.
DATA ANALYSIS AS THE BASIS FOR IMPROVED DESIGN FOR ADDITIVE MANUFACTURING (DFAM)
Authors: Hamulczuk Dominika , Isaksson Ola 
Published: August 2021

AbstractAdditive Manufacturing (AM) has a large potential to revolutionize the manufacturing industry, yet the printing parameters and part design have a profound impact on the robustness of the printing process as well as the resulting quality of the manufactured components. To control the printing process, a substantial number of parameters is measured while printing and used primarily to control and adjust the printing process in-situ. The question raised in this paper is how to benefit from these data being gathered to gain insight into the print process stability. The case study performed included the analysis of data gathered during printing 22 components. The analysis was performed with a widely used Random Forest Classifier. The study revealed that the data did contain some detectable patterns that can be used further in assessing the quality of the printed component, however, they were distinct enough so that in case the test and train sets were comprised of separate components the predictions’ result was very poor. The study gives a good understanding of what is necessary to do a meaningful analytics study of manufacturing data from a design perspective.
DATA FOR ENGINEERING DESIGN: MAPS AND GAPS
Authors: Chiarello Filippo , Coli Elena , Giordano Vito , Fantoni Gualtiero , Bonaccorsi Andrea 
Published: August 2021

AbstractData, information and knowledge are strongly involved in Engineering Design (ED) process. Despite the crucial role played by data in the design process, there is a lack of studies about how different data are used and generated by the various phases of the ED process. This study is a first attempt to fill this gap by mapping which data types are involved in the different ED phases from a research perspective.In order to achieve this objective, we used a methodology based on Text Mining. Firstly, we retrieve a corpus of scientific papers related to ED; then, we build two lexicons to recognize ED phases and data types; finally, we collect these entities within ED papers and map the relations between them.The methodology application allows the building of a network graph for visualizing the relations among data lexicon and ED lexicon. Then, we investigate the specific relations among data types and ED phases by building a heatmap to investigate data types from 3 different perspective.The insight coming from our analysis shows that ED studies have a great potential in the usage of many data sources, but also that there exist some gaps to be solved in order to reach a more effective data usage in the context of ED.
DATA-DRIVEN DESIGN AUTOMATION FOR PRODUCT-SERVICE SYSTEMS DESIGN: FRAMEWORK AND LESSONS LEARNED FROM EMPIRICAL STUDIES
Authors: Machchhar Raj Jiten , Bertoni Alessandro 
Published: August 2021

AbstractThe digitalization era has brought about unprecedented challenges for the manufacturing industries, pushing them to deliver solutions that encompass both product and service-related dimensions, known as Product-service Systems. This paper presents a number of lessons learned in the process of integrating the analysis of operational data as decision support in engineering design based on the empirical studies from two Swedish manufacturing companies operating in the construction machinery sector. The paper highlights the need to consider a five-dimensional perspective when collecting and analyzing data, encompassing data from the product, the service, the environment, the infrastructure, and the humans involved. Finally, a conceptual framework for data-driven design automation of Product-service Systems is proposed by leveraging the use of these data, introducing the concept of a Product-Service System Configurator as an enabler of design automation. The implementation of the proposed framework on multiple case studies in different industrial contexts shall be considered as the next step of the research.
DATA-DRIVEN DESIGN CHALLENGES IN THE EARLY STAGES OF THE PRODUCT DEVELOPMENT PROCESS
Authors: Briard Tristan , Jean Camille , Aoussat Améziane , Véron Philippe , Le Cardinal Julie , Wartzack Sandro 
Published: August 2021

AbstractWith the rapid development of digital technologies, products connectivity is increasing as well as the data produced and collected. Forecasts on product development predict that this trend will keep on growing. In this context, new design solutions based on data are emerging. Those data-driven design approaches are common for identifying the customers' need when developing a new product. However, few studies cover data-driven design in the other early stages of product design. Thus, the research question addressed in this paper is: what are the challenges of data-driven design research in the early phases of the product development process? Through a literature review and a workshop proposed at the conference DESIGN 2020, this paper offers a first glimpse of future research leads. A list of 5 challenges for data-driven design in the early stages of product design is proposed and ranked from short term to long term.
A FMEA Based Method for Analyzing and Prioritizing Performance Risk at the Conceptual Stage of Performance PSS Design
Authors: Sakwe John Bake , Pereira Pessoa Marcus , Hoekstra Sipke 
Published: August 2021

AbstractWith the quest for enhancing competitive position, fulfilling customer and sustainability demands, increasing profitability, asset manufacturing companies are now adapting assets towards product service systems (PSS) offered through performance contracts. Despite several benefits, the shift to performance PSS exposes industrial asset manufacturers' to performance challenges and risks. Currently, PSS designers face a challenge to exhaustively identify potential failures during PSS development. Knowledge of Product failures is critical prior to the engineering of PSS. This paper proposes a failure modes and effects analysis (FMEA) method to support designers' prioritise critical failures in performance PSS development. A case study of an optical sorting machine is used to demonstrate the method's application.
DEMYSTIFYING DIGITAL X
Authors: Cox Chris , Gopsill James , Hicks Ben 
Published: August 2021

AbstractThe rapid pace of development in Digital Engineering has led to an explosion of ideas and new practice in how it can support Engineering Design and Manufacture. You may have heard of the terms Digital Transformation, Digital Twin, Digital Thread, Digital Tapestry and Digital Footprint amongst many other forms of “Digital X” but how have these come about and how do they come together to provide the landscape of what Digitalisation has to offer?In this paper, we analyse the emergence, definition, use and co-occurrence of “Digital X” terminology from an academic dataset of 19,627 papers curated from Scopus. The results reveal that these terms are being used without being fully contextualised in terms of a hierarchy or equivalent to effectively articulate the Digital landscape.Through this analysis, an emerging “Digital X” framework is proposed, with evidence given to support suggested links, and knowledge gaps highlighted for further investigation. Once this framework is complete, a rich lexicon describing the Digital Landscape will pave the way for the future in Digital Engineering.
DESCRIPTION OF A WEARABLE ELECTROENCEPHALOGRAPHY + FUNCTIONAL NEAR-INFRARED SPECTROSCOPY (EEG+FNIRS) FOR IN-SITU EXPERIMENTS ON DESIGN COGNITION
Authors: Dybvik Henrikke , Kuster Erichsen Christian , Steinert Martin 
Published: August 2021

AbstractWe developed a wearable experimental sensor setup featuring multimodal EEG+fNIRS neuroimaging data capture applicable for in situ experiments at a lower financial threshold. Consistent application of a good protocol and procedure for sensor application and signal quality control is crucial for researchers to obtain valid data. This paper provides an exhaustive description of the sensor setup, the data synchronization process, procedure for sensor application, and signal quality control. Potential design cognition experiments with the proposed EEG+fNIRS are also described. In summary, the setup is mobile and provides multimodal neuroimaging data of high quality. We encourage the design community to take advantage of the setup and adapt it to new experimental setups in situ.
DESIGN BY MATERIAL: FROM MATERIAL TO FORM THROUGH CAD MODELLING
Authors: Ostrosi Egon , Bluntzer Jean-Bernard , Baume Hugues , Stjepandić Josip 
Published: August 2021

AbstractFor Aristotelian scholars, matter is identified as the subject of change, while form is the boundary of matter. Design is a process of bringing about change. From a design perspective, material is what an entity is made from; form is what makes a thing what it is. Based on the principle, “form is the boundary of matter”, this paper proposes a Design by Material method, thereby addressing the knowledge gap of a systematic method for designing according to material. This method is predicated on the material specification as the first input in the design process. A formal model is built in which the material acts as a trigger and driver for the design process. The method is implemented by integrating computer-aided design (CAD) modelling and its design form. A design application is explained to demonstrate the relevance of the Design by Material method.
Evaluation of sugarcane genotypes with respect to sucrose yield across three crop cycles using GGE biplot analysis
Authors: Momotaz Aliya , McCord Per H. , Davidson R. Wayne , Zhao Duli , Baltazar Miguel , Coto Arbelo Orlando , Sandhu Hardev S. 
Published: August 2021

SummaryThe experiment was carried out in three crop cycles as plant cane, first ratoon, and second ratoon at five locations on Florida muck soils (histosols) to evaluate the genotypes, test locations, and identify the superior and stable sugarcane genotypes. There were 13 sugarcane genotypes along with three commercial cultivars as checks included in this study. Five locations were considered as environments to analyze genotype-by-environment interaction (GEI) in 13 genotypes in three crop cycles. The sugarcane genotypes were planted in a randomized complete block design with six replications at each location. Performance was measured by the traits of sucrose yield tons per hectare (SY) and commercial recoverable sugar (CRS) in kilograms of sugar per ton of cane. The data were subjected to genotype main effects and genotype × environment interaction (GGE) analyses. The results showed significant effects for genotype (G), locations (E), and G × E (genotype × environment interaction) with respect to both traits. The GGE biplot analysis showed that the sugarcane genotype CP 12-1417 was high yielding and stable in terms of sucrose yield. The most discriminating and non-representative locations were Knight Farm (KN) for both SY and CRS. For sucrose yield only, the most discriminating and non-representative locations were Knight Farm (KN), Duda and Sons, Inc. USSC, Area 5 (A5), and Okeelanta (OK).
Effects of sexual condition and ractopamine supplementation on the proteomic profile of pork meat
Authors: de Oliveira S. R. , Moncau C. T. , Silva-Vignato B. , Poleti M. D. , Duarte K. M. R. , Harder M. N. C. , Balieiro J. C. C. 
Published: August 2021

AbstractPork is one of the most consumed meats worldwide, yet, pork quality remains an issue for the industry, mainly because of flavour, colour and water holding capacity instabilities. Castration techniques combined with dietary supplementation with ractopamine hydrochloride (RAC) seem to be a tangible solution to deal with these issues. There is a lack of knowledge of how these techniques will impact the proteomic profile and, consequently, the meat quality. The main goal of this work was to study the proteomic profile of non-aged pork meat under different sexual conditions and RAC dietary supplementation, and how the combination of these two factors impacts meat quality attributes. Forty-eight animals were distributed in six treatments, three sexual conditions (females; surgically castrated males; immune castrated males) and two diets (with RAC inclusion or without). For proteomic analysis, a sample of the Longissimus dorsi muscle was collected 24 h after slaughter and analysed using one-dimensional SDS/PAGE. The ultimate pH and colour (L*, a*, b*) were measured in the carcasses after 24 h, then meat samples were collected to measure drip, cooking and thawing losses, as well as the shear force. The interaction between gender and diet affected the ultimate pH and the L* parameter. Meat tenderness was only influenced by diet. Twenty-seven protein bands were revealed by SDS/PAGE, six of them with the protein abundance affected by diet. In conclusion, the inclusion of dietary RAC caused differences in the pork meat proteome, and more studies are necessary to fully explore the proteins involved in these changes.
Reassessing the CASP-19 adapted for Brazilian Portuguese: insights from a population-based study
Authors: Marques Larissa Pruner , Bastos João Luiz , d'Orsi Eleonora 
Published: August 2021

AbstractThe study reassessed the configural and metric structures of the Brazilian version of the Control, Autonomy, Self-realization and Pleasure (CASP-19) quality-of-life scale. Data came from the EpiFloripa Ageing Study, which included 1,131 respondents from Southern Brazil. The original and two recently factorial solutions for the Brazilian CASP-19 were initially examined. Exploratory Factor Analyses and Exploratory Structural Equation Models were estimated in the first half of the sample, selected at random. In the second half, Confirmatory Factor Analyses determined the most tenable configural and metric model for the instrument. Neither the original nor the two Brazilian solutions were supported by our data. Instead, we suggest that two factors underlie CASP-19's configural structure: while the first one groups the control and autonomy dimensions, the second combines self-realization and pleasure. Except for four items, all others presented moderate to strong loadings, and only two showed a theoretically meaningful and sufficiently large residual correlation, which was worthy of inclusion in the final model. Cross-loadings were not detected. When assessed in a population-based sample of older respondents, this Brazilian version of the CASP-19 appeared to have two factors, moderate to strong loadings and a pair of redundant items. Future studies should evaluate the consistency of these findings, examine the scalar structure of the instrument, and assess configural, metric and scalar invariance across social groups.
Endocrine, Stemness, Proliferative, and Proteolytic Properties of Alarm Cells in Ruby-Red-Fin Shark (Rainbow Shark), Epalzeorhynchos frenatum (Teleostei: Cyprinidae)
Authors: Abd-Elhafeez Hanan H. , Soliman Soha A. , Attaai Abdelraheim H. , Abdel-Hakeem Sara S. , El-Sayed Abeera M. , Abou-Elhamd Alaa S. 
Published: August 2021

AbstractThe current study investigated the morphological, histochemical, and immunohistochemical characteristics of alarm cells and their precursors in ruby-red-fin shark (rainbow shark), Epalzeorhynchos frenatum (Teleostei: Cyprinidae). Precursor alarm cells were shown to be small, cuboidal, pyramidal, or round in shape, with eosinophilic cytoplasm, resting on the basement membrane of the epidermis. The cells later elongated to become columnar in shape. Subsequently, they enlarged and became large oval-shaped cells. They then underwent shrinkage and vacuolation. The superficial alarm cells were collapsed. Alarm cells were found to have an affinity for different histochemical stains, including bromophenol blue, iron hematoxylin, Sudan black, Mallory triple trichrome, Crossman's trichrome, Safranin O, and Weigert's stains, as well as lipase and alkaline phosphatase. Endocrine properties of the alarm cells were identified by silver staining and synaptophysin immunostaining. Alarm cells exhibited stemness activities and had a strong immunoaffinity for CD117. They had a proteolytic function, as identified by lysosome-specific staining with acridine orange and strong immunoaffinity for matrix metalloproteinase (MMP-9). They also exhibited proliferatively, reflected by immunological staining by proliferating cell nuclear antigen. In conclusion, alarm cells are unique epidermal cells with multiple functions. They play immunological, and endocrine, roles. They also retain stemness and proliferative properties.
An overview of organic, grassfed dairy farm management and factors related to higher milk production
Authors: Snider Miriam A. , Ziegler Sara E. , Darby Heather M. , Soder Kathy J. , Brito André F. , Beidler Brent , Flack Sarah , Greenwood Sabrina L. , Niles Meredith T. 
Published: August 2021

AbstractOrganic, grassfed (OGF) dairy, which requires higher pasture and forage dry matter intake compared with standard organic dairy practices, is unique both in its management needs and in production challenges. The OGF dairy sector is rapidly growing, with the expansion of this industry outpacing other dairy sectors. There is a lack of research outlining OGF dairy production practices, producer-identified research needs or social factors that affect OGF systems. The objectives of this study were to, with a group of OGF dairy producers, (1) assess information regarding current production practices and producer knowledge, and (2) identify agronomic and social factors that may influence milk production on OGF farms across the United States. A mail survey, focused on demographics, forage and animal management, knowledge, and satisfaction of their farm, was developed and distributed in 2019, with 167 responses (47% response rate). The majority of producers indicated they belonged to the plain, or Amish-Mennonite, community. Milk production was greater on farms that had Holstein cattle, as compared to farms with Jerseys and mixed breeds, and employed intensive pasture rotation. Furthermore, most producers reported the use of supplements such as molasses and kelp meal, which can improve milk production, but also increase feed costs. Producers who indicated that they were at least satisfied with their milk production also reported high levels of knowledge of grazing management and cow reproductive performance. Comparison of response data from plain/non-plain respondents revealed that those that did not identify as plain were more likely to utilize certain government programs, had different priorities and utilized technology more frequently. Based on these results, more research exploring financial and production benchmarks, effective communication strategies to reach OGF producers and methods to improve cattle production through improved forage quality is needed.
Fractionalization, polarization and banking stability in Africa
Authors: Dwumfour Richard Adjei 
Published: August 2021

AbstractI examine the impact of diversity (ethnic and religious fractionalization and polarization) on banking stability in Sub-Saharan Africa (SSA). Using data from 1996 to 2014, I employ the system Generalized Method of Moments (sys-GMM) approach to examine this relationship. I find that countries in SSA are more polarized religiously than they are ethnically. The region is, however, more ethnically fractionalized than they are religiously. Further, I conjecture that banks in more heterogeneous societies will experience poor asset quality and lower stability. I however postulate that banks offset the risks from diversity at certain levels of net interest margin (NIM). I provide empirical evidence to support these conjectures. I find varying threshold NIM values for each diversity indicator depending on the stability measure used. Opening up the banking system to foreign entry can help offset the negative impact of diversity on banking stability. Policy implications are discussed.
Depth of Martian Magnetization From Localized Power Spectrum Analysis
Authors: Gong Shengxia , Wieczorek Mark 
Published: August 2021

AbstractMagnetic field measurements show that Mars possesses strong crustal magnetic anomalies that formed when the planet had an active dynamo. To investigate the origin of this magnetization, we used localized power spectrum analyses to constrain the equivalent depths of thin magnetic layers in the crust. Using a new martian magnetic field model that incorporates data from both the Mars Atmosphere and Volatile EvolutioN and Mars Global Surveyor missions, we found that the equivalent magnetization depths on Mars vary from the surface to 72 km. In the northern hemisphere the magnetization depths are found to be on average 9 km, whereas in the southern hemisphere the depths are on average 32 km. If these depths are interpreted in terms of a thick magnetic layer, magnetization in the northern lowlands could extend from the surface to about 18 km depth, whereas for the southern highlands the magnetic layer could extend from about 20 km depth to the base of the crust. The strongest magnetic anomalies are, in general, associated with deep source depths. Our results are consistent with the hypothesis where strong primordial magnetic materials of the northern hemisphere were excavated from the Borealis impact basin, leaving only strong deep remanent magnetization in the southern hemisphere.