bluuebunny/crossref_metadata_2025_split huggingface dataset:
Magnetic resonance imaging in naso-oropharyngeal carcinoma: role of texture analysis in the assessment of response to radiochemotherapy, a preliminary study
Authors: Bicci Eleonora , Nardi Cosimo , Calamandrei Leonardo , Barcali Eleonora , Pietragalla Michele , Calistri Linda , Desideri Isacco , Mungai Francesco , Bonasera Luigi , Miele Vittorio 
Published: June 2023

Abstract
Objective
Identifying MRI texture parameters able to distinguish inflammation, fibrosis, and residual cancer in patients with naso-oropharynx carcinoma after radiochemotherapy (RT-CHT).

Material and methods
In this single-centre, observational, retrospective study, texture analysis was performed on ADC maps and post-gadolinium T1 images of patients with histological diagnosis of naso-oropharyngeal carcinoma treated with RT-CHT. An initial cohort of 99 patients was selected; 57 of them were later excluded. The final cohort of 42 patients was divided into 3 groups (inflammation, fibrosis, and residual cancer) according to MRI, 18F-FDG-PET/CT performed 3–4 months after RT-CHT, and biopsy. Pre-RT-CHT lesions and the corresponding anatomic area post-RT-CHT were segmented with 3D slicer software from which 107 textural features were derived. T-Student and Wilcoxon signed-rank tests were performed, and features with p-value < 0.01 were considered statistically significant. Cut-off values—obtained by ROC curves—to discriminate post-RT-CHT non-tumoural changes from residual cancer were calculated for the parameters statistically associated to the diseased status at follow-up.

Results
Two features—Energy and Grey Level Non-Uniformity—were statistically significant on T1 images in the comparison between ‘positive’ (residual cancer) and ‘negative’ patients (inflammation and fibrosis). Energy was also found to be statistically significant in both patients with fibrosis and residual cancer. Grey Level Non-Uniformity was significant in the differentiation between residual cancer and inflammation. Five features were statistically significant on ADC maps in the differentiation between ‘positive’ and ‘negative’ patients. The reduction in values of such features between pre- and post-RT-CHT was correlated with a good response to therapy.

Conclusions
Texture analysis on post-gadolinium T1 images and ADC maps can differentiate residual cancer from fibrosis and inflammation in early follow-up of naso-oropharyngeal carcinoma treated with RT-CHT.
Influence of Feedstock and Thermal Spray Process on the Phase Composition of Alumina Coatings and Their Sliding Wear
Authors: Ali Omar , Ahmed Rehan , Toma Filofteia-Laura , Berger Lutz-Michael , Matthey Björn , Faisal Nadimul , Ahmed Khalid 
Published: June 2023

AbstractSuspension thermal spraying is an emerging coating technology that enables the deposition of dense-structured ceramic coatings. As wear resistance is a main application field of alumina (Al2O3) coatings, this study aimed to evaluate the dry reciprocating sliding wear resistance of suspension sprayed high velocity oxy-fuel (S-HVOF) alumina coatings and to compare it with atmospheric plasma sprayed (APS) and HVOF coatings. Coatings were analyzed in the as-sprayed state and post-treated at 910 °C (hot isostatically pressed, HIPed) conditions. Wear tests were conducted using a tribometer, following the ASTM G133-02 standard and a sintered WC-6 wt.% Co ball as the counterbody. Coating characterization was done using scanning electron microscopy, x-ray diffraction and nanoindentation technique. Results indicate that the HVOF, HVOF-HIP and S-HVOF coatings had a high α-Al2O3 content, whereas the APS and APS-HIP coatings had a high γ-phase content together with high porosity. Sliding wear resistance was an order of magnitude higher for the S-HVOF and HVOF coatings than the APS and APS-HIPed coatings. This difference in wear performance was attributed to the high nanohardness, elastic modulus, dense microstructure and relatively high α-Al2O3 content in the HVOF, S-HVOF and HVOF-HIP coatings. Results are discussed in terms of the wear mechanism and structure-property relationship.
Development and Implementation of an Online Education Program on Advanced Breast Cancer for European Cancer Nurses: ABC4Nurses Project: a Brief Report
Authors: Dowling Maura , Shewbridge Amanda , Ryan Claire , Clancy Caroline , Meade Elizabeth , Sheehan Sarah , de La Serna Celia Díez De Los Rios , Bağçivan Gülcan , Kotronoulas Grigorios , Erdem Sema , Aroyo Violet , Radia Bhaveet , Wiseman Theresa , Drury Amanda 
Published: June 2023

AbstractBreast cancer is now the most commonly diagnosed cancer worldwide. Approximately 30% of those who present with early breast cancer later develop advanced breast cancer (ABC). Additionally, approximately 6% have advanced breast cancer at diagnosis. New treatment options result in an extended lifespan dominated by cycles of deterioration and stable disease. Specialist nurse knowledge is key to multidisciplinary care of people with ABC; however, access to education on ABC for nurses is not universally available in Europe. This paper describes the development and implementation of an online bespoke program on ABC care for specialist and generalist nurses in Europe. The project team is affiliated with the European Oncology Nurses Society (EONS) and comprises specialist breast cancer nurses, oncology nurse academics and breast cancer advocates associated with EUROPA DONNA Turkey, an independent non-profit European breast cancer organisation. The program development involved (1) a systematic review of ABC educational resources for cancer nurses; (2) a modified four-round Delphi study to seek agreement on curriculum content and (3) curriculum development, conversion to an interactive online platform and translation into four European languages. The program evaluation will be guided by Kirkpatrick’s framework. The phases described in this short report could guide others involved in developing bespoke cancer education programs.
Peacock patterns and resurgence in complex Chern–Simons theory
Authors: Garoufalidis Stavros , Gu Jie , Mariño Marcos 
Published: June 2023

AbstractThe partition function of complex Chern–Simons theory on a 3-manifold with torus boundary reduces to a finite-dimensional state-integral which is a holomorphic function of a complexified Planck’s constant$$\tau $$τin the complex cut plane and an entire function of a complex parameteru. This gives rise to a vector of factorially divergent perturbative formal power series whose Stokes rays form a peacock-like pattern in the complex plane. We conjecture that these perturbative series are resurgent, their trans-series involve two non-perturbative variables, their Stokes automorphism satisfies a unique factorization property and that it is given explicitly in terms of a fundamental matrix solution to a (dual) linearq-difference equation. We further conjecture that a distinguished entry of the Stokes automorphism matrix is the 3D-index of Dimofte–Gaiotto–Gukov. We provide proofs of our statements regarding theq-difference equations and their properties of their fundamental solutions and illustrate our conjectures regarding the Stokes matrices with numerical calculations for the two simplest hyperbolic$$\textbf{4}_1$$41and$$\textbf{5}_{2}$$52knots.
Complex interval-valued intuitionistic fuzzy decision support system with application to COVID-19 healthcare facilities
Authors: Khan Muhammad Sajjad Ali , Jan Saeed Ullah , Jan Rahim , Senapati Tapan , Moslem Sarbast 
Published: June 2023

AbstractThe complex interval-valued intuitionistic fuzzy set (CIIFS), as an extension of the complex intuitionistic fuzzy set (CIFS), is one of the better tools for dealing with time-periodic information in a single set of two-dimensional information. So, this paper makes some new operators based on Aczel-Alsina’s t-norm and t-conorm in the CIIFS environment. First, some Aczel-Alsina t-norm and t-conorm operational laws are defined for complex interval-valued intuitionistic fuzzy numbers (CIIFNs). Then, using the proposed operational laws, Aczel-Alsina The operators Complex interval-valued intuitionistic Aczel-Alsina weighted average (CIIFAAWA), Complex interval-valued intuitionistic Aczel-Alsina weighted geometric (CIIFAAWG), Complex interval-valued intuitionistic Aczel-Alsina ordered weighted average (CIIFAAOWA), and Complex interval-valued intuitionistic Aczel-Alsina ordered weighted geometric (CIIFAAOWG) are developed. Further, some properties of the proposed operators are discussed and investigated in detail. A group decision-making method is also suggested based on developed operators in the CIIFS environment. The proposed operators are more adaptable and give more accurate results than existing ones. Furthermore, a multi-criteria decision-making technique is developed based on the proposed operators. A decision-making problem for healthcare facilities in public hospitals is provided to demonstrate the benefits and applicability of the proposed method. Finally, a comparative study is also investigated using the existing methods.
Wrecked All Over the Place: The Identification of Disarticulated Context-Free Ship Remains from the Gold Coast in Queensland, Australia
Authors: van Duivenvoorde Wendy , Davison Lauren , Polzer Mark , de Ruyter Mick , Bennett Kurt , Nutley David , Waterson Paddy 
Published: June 2023

AbstractThis article shows that it is possible to identify a vessel from disarticulated ship remains missing their original depositional context. By studying a dispersed collection of timbers, fasteners, and hull sheathing from a previously unidentified shipwreck on the Gold Coast, Australia, the authors were able to identify the remains as most likely from the colonial schooner Heroine. In this instance there were several possible identifications for the disarticulated ship remains, so historical research, detailed artifact recording, and timber and metal analyses were used to study the ship elements. The results showed a range of timbers preferred by New South Wales shipwrights and copper sheathing of a datable metal composition, generating new knowledge of the material selection and techniques used in Australian colonial shipbuilding in general. While disarticulated or context-free shipwreck remains are often only able to provide a generic cultural or type affiliation, this study shows that through detailed analysis it is possible to ascribe a ship’s name to the dispersed structural elements.
Association of children’s behavioral changes and parent–child relationship with parental anxiety under confinement during COVID-19 pandemic: a cross-sectional study
Authors: Xu Yingxia , Zheng Juan , Yan Xiaofang , Huang Jitian , Xu Guifeng , Liu Buyun , Yang Wenhan 
Published: June 2023

Abstract
Objective
Coronavirus Disease-19 (COVID-19) has become a global pandemic, and mental health of children and parents are affected by confinement in home. Since the outbreak of COVID-19 is still global pandemic currently, it is important to examine how the changes of children’s behaviors and parent–child relationship affect parental anxiety during this difficult time.

Methods
A cross-sectional online investigation was conducted with snowball sampling to collect the information about the behavioral changes of children and the anxiety of parents from February 23 to March 3, 2020. 642 participants who had children aged 3–17 years included in this study. Information about behavioral change of children was reported by parents with a questionnaire, parental anxiety was assessed with Self-rating Anxiety Scale (SAS, Chinese Version).

Results
Among children’s behaviors, decreased time of outdoor activity was associated with a lower odds of parental anxiety, with an adjusted odds ratios (ORs) of 0.31 (95% CI, 0.11–0.87). Parents’ satisfaction with children's behaviors was associated with a lower odds of parental anxiety (ORs, 0.13; 95% CI, 0.05–0.35). In addition, we observed a significant association of worse behavioral performance and worse family relationship with anxiety among parents with the adjusted ORs of 2.78 (95% CI, 1.35–5.73), and 2.67 (95% CI, 1.13–6.32), respectively.

Conclusion
Under COVID-19 outbreak in China, changes in children’s behavioral and family relationship were associated with parental anxiety. Our finding suggested that family mental health support and promotion should consider the children’s behavioral regulation and parent–child relationship as essential components.
Impact of Information on Attitudes Regarding Greenhouse Lighting Externality Regulation
Authors: Daniel Jared , Secor William , Campbell Benjamin 
Published: June 2023

AbstractAs food producers face increasing costs, many greenhouse growers are turning to controlled environment agriculture. The use of light-emitting diode (LED) supplemental lighting systems may increase a producer’s profitability, but it also comes with a unique set of externalities. Using an online survey, we found that showing images of light pollution from supplemental LED lighting sources facilitated respondents to want more regulation with state government being the desired regulator. Several significant factors influenced survey respondents’ posttreatment preference outcomes for different levels of regulation and regulators including demographic characteristics as well as initial attitudes toward LED lighting systems before treatment.
Explaining Disaster and Pandemic Preparedness at the Nexus of Personal Resilience and Social Vulnerability: An Exploratory Study
Authors: Ferreira Regardt , Cannon Clare EB , Buttell Fred , Davidson Tim 
Published: June 2023

Abstract

Objective:
The purpose of this research was a pilot examination to identify and assess relationships among social vulnerability, personal resilience, and preparedness for a sample of US residents living in the Gulf South, who had experienced climate-related disaster (e.g., hurricanes) and the COVID-19 pandemic.

Methods:
Binary logistic regression was conducted using primary survey data collected in 2020 (n = 744) to identify statistically significant explanatory variables of sociodemographic characteristics and resilience, measured by the CD-RISC 10, of climate-related disaster, and pandemic preparedness.

Results:
Results indicate that respondents who identified as white, had more education, were in a relationship, and spoke English as a first language, as well as respondents who had exhibited greater resilience, were more likely to prepare for a climate-related disaster. Respondents who spoke English as a first language, had more education, and greater resilience were found to be statistically significant explanatory variables of pandemic preparedness. Respondents who prepared for disaster were also more likely to prepare for the pandemic.

Conclusions:
These findings provide insights into protective factors related to preparedness, including linkages between resilience and preparedness that can aid public health professionals in supporting resilience and preparedness efforts for impacted communities.
The intestinal microbiota as an ally in the treatment of Alzheimer’s disease
Authors: Sehn Hilgert Sabrina , Dias Daniel Penteado Martins 
Published: June 2023

Abstract
The evolution of the understanding of the intestinal microbiota and its influence on our organism leverages it as a potential protagonist in therapies aimed at diseases that affect not only the intestine but also neural pathways and the central nervous system itself. This study, developed from a thorough systematic review, sought to demonstrate the influence of the intervention on the intestinal microbiota in subjects with Alzheimer’s disease. Clinical trials using different classes of probiotics have depicted noteworthy remission of symptoms, whose measurement was performed based on screenings and scores applied before, during, and after the period of probiotics use, allowing the observation of changes in functionality and symptomatology of patients. On the other hand, faecal microbiota transplantation requires further validation through clinical trials, even though it has already been reported in case studies as promising from the symptomatology point of view. The current compilation of studies made it possible to demonstrate the potential influence of the intestinal microbiota on Alzheimer’s pathology. However, new clinical studies with a larger number of participants are needed to obtain further clarification on pathophysiological correlations.
COMPOSITIONAL MODELS FOR THE INTERNET OF THINGS
Authors: Briener Spencer , Jung Jooik , Subrahmanian Eswaran , Sriram Ram 
Published: June 2023

AbstractThe modularity of components has enhanced the ability to create IoT systems by composing them from off the shelf. However, the breadth of technological choices and capabilities of component devices has made designing these systems harder to select, compose, implement and test, especially for dynamic systems. In this paper, we adopt formal tools from category theory (CT), a branch of mathematics whose central tenet is compositionality, to generate models for IoT systems. More specifically, we introduce a port-graph operad to represent the architectural designs of IoT systems. We use presheaf categories to construct generic IoT schemas to support modularity. Given this information, we briefly describe its relationship to control strategies of dynamical systems that model the interaction of components. Our approach balances genericity and specificity, providing interlinked schematic representations of system architecture and component representation.
CONNECTING DESIGN ITERATIONS TO PERFORMANCE IN ENGINEERING DESIGN
Authors: Vrolijk Ademir-Paolo , Deng Yuanzhe , Olechowski Alison 
Published: June 2023

AbstractNo matter a system's size, complexity, or domain, iterations are fundamental to its design process. However, there is a duality: iterations are both signs of usefully exploring the system's design space and failure to find an appropriate solution. This ambiguity means that we have not been able to connect teams’ iterating behavior to their design's performance, potentially obscuring a way to influence the design process.As such, our exploratory study unpacks the relationship between design iterations and performance. We observed 88 teams in the 2020 Robots to the Rescue Competition in rich detail. Using logs of 7,956 iterations on a Computer-Aided Design platform, we analyzed how high- and low-performing teams revised their submissions, searching for consistent differences in their behavior. We found significant differences in the iterations’ number, scale, and cadence between these groups of teams. These findings emphasized the correlation between certain iteration patterns and the success of a design: the best teams will likely revise differently than the worst ones. It also showed the importance of a fine-grained, time- dependent view of the design process to resolve open questions in the literature.
A DESIGNER'S UNDERSTANDING OF THE MAKER MOVEMENT
Authors: von Platen Vilhelm , Kitani Yoji 
Published: June 2023

AbstractThe maker movement has garnered interest from many disparate fields, from engineering to business management, to behavioural science, to city planning. The reason for this interest no doubt stems from the promised potential of the maker movement to revolutionize not only product creation and manufacturing, but in extension the economy around it. This paper examines existing literature across disciplines for evidence of what the maker movement has achieved so far, with a focus on implications for the field of Industrial Design.
CREATING AN OPEN-SOURCE, LOW-COST COMPOSITE FEEDER DESIGN TO IMPROVE FILAMENT QUALITY OF HIGH-PERFORMANCE MATERIALS TO BE USED IN FUSED FILAMENT FABRICATION (FFF)
Authors: Øvrebø Henrik H. , Koldre Svein-Andre , Nesheim Ole S. , Eikevåg Sindre Wold , Steinert Martin , Elverum Christer W. 
Published: June 2023

AbstractComposite filaments are getting increased attention in additive manufacturing (AM). More and better solutions for filament production are needed to assist researchers in discovering new materials capable of producing AM-made high-performance parts. This article presents a method for producing composite filament, including an open-source, low-cost automatic composite feeder designed to increase the accuracy and quality of the filament. The feeder includes a fibre screw designed through an iterative prototyping process to accurately control the filament's fibre percentage while reducing lumps' occurrence in a single step. An experiment evaluating the quality of filament made of Polylactic Acid (PLA) and carbon fibre (CF) tested the use of the feeder compared to manual mixing. Filament with a nominal diameter of 2.85mm with 4.5%, 7.9%, 11.2% and 14.5% CF was made. The results suggest that the composite feeder improved the filament quality. The filament diameter RMSE value was reduced from 0.08 to 0.06 and 0.15 to 0.13 for both 4.5% and 11.2%, respectively. The article concludes that the feeder design may help researchers develop and discover new materials while improving the quality of the filament.
CROWDSOURCING ENGINEERING DESIGN PROBLEMS: LEARNING FROM EXPERIENCES
Authors: Obieke Chijioke C. , Milisavljevic-Syed Jelena , Han Ji 
Published: June 2023

AbstractThe availability of digital data in the fourth industrial revolution brings different trends with new opportunities and challenges for the engineering design community. As an opportunity, these trends would impact engineering design. However, the challenge is finding applications for these trends in engineering design. Crowdsourcing is one of the trends inspired by digital data. It is outsourcing an individually performed task to be mass-performed. This paper explores the application of crowdsourcing in identifying engineering design problems. Identifying an engineering design problem is an aspect of engineering design considered challenging but necessary for inventions. Secondary data from 63 invention-related cases and an interview with a renowned UK inventor are presented. The data contains scenarios on how the engineering design problems solved to qualify for a UK patent grant or application are identified. Lessons from the case studies are presented and discussed, especially regarding crowdsourcing engineering design problems. These seem to be promising ways of supporting the identification of new engineering design problems with inventive benefits once solved.
DATA-DRIVEN SMART MANUFACTURING: CASE STUDY OF WORKFORCE MANAGEMENT PROCESS IN AN ITALIAN LEATHER GOODS COMPANY
Authors: Pietroni Giorgia , Marconi Marco 
Published: June 2023

AbstractDigitalization is one of the fundamental pillars of Industry 4.0. Within smart factories, Big Data Analytics systems play a key role in supporting the decision-making process of various stages of business processes. In this context, this research aims to identify solutions able to process large volumes of data from digital business processes with the final goal of adding value to the organisation. More specifically, the research deals with the implementation of a digital manufacturing tool able to digitize the workforce management process. The research has been applied in the case study of an Italian manufacturing company operating in the leather goods sector through the digitalization of the workforce management by a cloud-based platform. The implementation of the tool increases the efficiency of the production process, provides efficient management and integrates workforce data into one system. The implemented tool generates a large volume of data, the final goal is to make data user-friendly to support business decisions. Digitisation provides an exchange of information to support managers to make confident decisions.