bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of carboxymethylated cellulose nanofibril concentration regime upon material forming on mechanical properties in films and filaments
Authors: Håkansson Karl M. O. 
Published: November 2020

Abstract
It is predicted that the forest and materials from the forest will play an important role to enable the transformation from our linear present to a circular and sustainable future. Therefore, there is a need to understand the materials that can be extracted from the forest, and how to use them in an efficient manner. Here, carboxymethylated cellulose nanofibrils (CNF) from the forest are used to produce films and filaments with the aim to preserve the impressive mechanical properties of a single CNF in a macro-scale material. The mechanical properties of both the films (tensile strength of 231 MPa) and filaments (tensile strength of 645 MPa) are demonstrated to be maximized when the starting suspension is in a flowing state. This is a new insight with regards to filament spinning of CNF, and it is here argued that the three main factors contributing to the mechanical properties of the filaments are (1) the possibility to produce a self-supporting filament from a suspension, (2) the CNF alignment inside the filament and (3) the spatial homogeneity of the starting suspension. The results in this study could possibly also apply to other nanomaterials such as carbon nanotubes and silk protein fibrils, which are predicted to play a large part in future high performing applications.

Graphic abstract
Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity
Authors: Emmery Chris , Verhoeven Ben , De Pauw Guy , Jacobs Gilles , Van Hee Cynthia , Lefever Els , Desmet Bart , Hoste Véronique , Daelemans Walter 
Published: November 2020

AbstractThe detection of online cyberbullying has seen an increase in societal importance, popularity in research, and available open data. Nevertheless, while computational power and affordability of resources continue to increase, the access restrictions on high-quality data limit the applicability of state-of-the-art techniques. Consequently, much of the recent research uses small, heterogeneous datasets, without a thorough evaluation of applicability. In this paper, we further illustrate these issues, as we (i) evaluate many publicly available resources for this task and demonstrate difficulties with data collection. These predominantly yield small datasets that fail to capture the required complex social dynamics and impede direct comparison of progress. We (ii) conduct an extensive set of experiments that indicate a general lack of cross-domain generalization of classifiers trained on these sources, and openly provide this framework to replicate and extend our evaluation criteria. Finally, we (iii) present an effective crowdsourcing method: simulating real-life bullying scenarios in a lab setting generates plausible data that can be effectively used to enrich real data. This largely circumvents the restrictions on data that can be collected, and increases classifier performance. We believe these contributions can aid in improving the empirical practices of future research in the field.
An overview of teacher training programs in educational robotics: characteristics, best practices and recommendations
Authors: Schina Despoina , Esteve-González Vanessa , Usart Mireia 
Published: November 2020

AbstractThe emergence of Educational Robotics (ER) and its rapid spread across all levels of education in recent years has drawn attention to the need for further training in this discipline. In this study we discuss the panorama of teacher training research in ER and make recommendations for institutions that intend to implement ER teacher training programs. We explore three databases that include publications in ER teacher training and select 38 publications for analysis. We discuss these publications with special emphasis on requirements, durations, trainer and trainee profiles, pedagogical approaches and best practices. Our main findings are the lack of uniformity regarding the duration and requirements of training programs and the fact that information on trainer and trainee profiles is not always documented. ER teacher training programs are often not founded on theory. When they are based on pedagogical principles, however, these are usually constructivism/constructionism, inquiry-based learning or project-based learning. The most prominent best practices for ER teacher training fall into five categories: collaboration, materials, pedagogy, practice and feedback/support. Our recommendations will help to improve the content, structure and implementation of future ER teacher training programs and the reliability and generalizability of research results and design.
Big data and big techs: understanding the value of information in platform capitalism
Authors: Marciano Alain , Nicita Antonio , Ramello Giovanni Battista 
Published: November 2020

AbstractOne of the major challenges that result from the digital transformation occurring in our societies bears on its impact on the organization and regulation of the economy. This leads to a dramatic change to the economic institutions of capitalism—into what could be defined as platform capitalism—that rests on a fundamental dilemma between ‘decentralization’ on the one side and ‘concentration’ on the other. This is the main puzzle that the emergence of a big data driven economy is actually offering to law and economics scholars and to policy makers. This paper introduces to some of the major aspects of this dilemma.
Compensation as a means to justice? Sexual violence survivors’ views on the tort law option in Iceland
Authors: Antonsdóttir Hildur Fjóla 
Published: November 2020

AbstractLimited attention has been paid to the potential of tort law to address the harm of sexual violence. Based on interviews with 35 victim-survivors of sexual violence in Iceland, this study asks: How do victim-survivors understand monetary compensation? How can tort law meet victim-survivors’ justice interests? The findings suggest that in addition to the financial risk involved, most participants had ambivalent views towards pursuing and receiving monetary compensation. Many thought that, given their often extensive pecuniary and non-pecuniary losses, it was only fair to receive compensation; but at the same time, they did not want to accept ‘dirty money’ they considered that pursuing monetary compensation could undermine their credibility, and monetary compensation only partially aligned with their ideas about justice. The findings are interpreted in the context of tort law theory, taboo trade-offs and survivor-centred justice. It is suggested that state intervention is needed to better meet victim-survivors’ justice interests.
Discipline-specific feedback literacies: A framework for curriculum design
Authors: Winstone Naomi E. , Balloo Kieran , Carless David 
Published: November 2020

AbstractFeedback literacy is an important graduate attribute that supports students’ future work capacities. This study aimed to develop a framework through which discipline-specific feedback literacies, as a set of socially situated skills, can be developed within core curricula. The framework is developed through a content analysis of National Qualifications Frameworks from six countries and UK Subject Benchmark Statements for multiple disciplines, analysis of indicative subject content for a range of disciplines and consultation with subject-matter experts. Whilst most of the benchmark statements incorporate the development of feedback literacy skills related to ‘making judgements’, attributes relating to ‘appreciating feedback’ and ‘taking action based on feedback’ are less prevalent. Skills related to ‘managing the affective challenges of feedback’ are most prevalent in documentation for applied disciplines. The resulting empirically guided curriculum design framework showcases how integrating the development of discipline-specific feedback literacies can be enacted through authentic learning activities and assessment tasks. In terms of implications for practice, the framework represents in concrete terms how discipline-specific feedback literacies can be integrated within higher education curricula. The findings also have implications for policy: by positioning discipline-specific feedback literacies as graduate outcomes, we believe they should be integrated within national qualifications frameworks as crucial skills to be developed through higher education courses. Finally, from a theoretical perspective, we advance conceptions of feedback literacy through a sociocultural approach and propose new directions for research that seek to reconceptualise a singular concept of feedback literacy as multiple feedback literacies that unfold in distinctive ways across disciplines.
Exploring the use of IoT Data for Heightened Situational Awareness in Centralised Monitoring Control Rooms
Authors: Horita Flávio , Baptista João , de Albuquerque João Porto 
Published: November 2020

AbstractThis paper traces the expansion of a network of IoT sensors to improve the effectiveness of a centralised control room in Brazil in anticipating natural hazards. This centralised model relies on using IoT data by highly qualified experts replacing previous smaller local structures. We draw on the notion of Situational Awareness to carry out the study. Results show that although the operators were not always familiar with the characteristics of locations, the use of IoT data heightened their situational awareness in the centralised control room by improving perception and comprehension. However, they still relied on local knowledge and learned experiences to support projection and anticipation of risks. The study highlights that although data analytics systems are capable of expanding operators’ perception of local elements, they must be complemented by local richer forms of information, needed to anticipate risks and make critical decisions with major impact on local population.
Conversational robo advisors as surrogates of trust: onboarding experience, firm perception, and consumer financial decision making
Authors: Hildebrand Christian , Bergner Anouk 
Published: November 2020

AbstractThe current research demonstrates how conversational robo advisors as opposed to static, non-conversational robo advisors alter perceptions of trust, the evaluation of a financial services firm, and consumer financial decision making. We develop and empirically test a novel conceptualization of conversational robo advisors building on prior work in human-to-human communication and interpersonal psychology, showing that conversational robo advisors cause greater levels of affective trust compared to non-conversational robo advisors and evoke a more benevolent evaluation of a financial services firm. We demonstrate that this increase in affective trust not only affects firm perception (in terms of benevolence attributions or a more positively-valenced onboarding experience), but has important implications for investor behavior, such as greater recommendation acceptance and an increase in asset allocation toward conversational robo advisors. These findings have important implications for research on trust formation between humans and machines, the effective design of conversational robo advisors, and public policy in the digital economy.
Effect of Temperature, Time, and Cooling Rate on the Mineralogy, Morphology, and Reducibility of Iron Ore Sinter Analogues
Authors: Harvey Tobin , Pownceby Mark I. , Chen Jeff , Webster Nathan A. S. , Nguyen Thi Bang Tuyen , Matthews Leanne , O’Dea Damien , Honeyands Tom 
Published: November 2020

AbstractAnalogue sinter tablets were produced at temperatures between 1250°C and 1320°C, with a range of hold times and cooling rates. Platy silico-ferrite of calcium and aluminum (SFCA) morphology was identified in samples produced at 1250°C using reflected light microscopy; however, quantitative x-ray diffraction (XRD) identified the presence of the SFCA phase, with no SFCA-I detected. This proves that the platy SFCA morphology common in analysis by reflected light microscopy cannot be attributed to the SFCA-I mineral without further analysis. Micro-XRD and electron probe micro-analysis (EPMA) were carried out on an area of platy SFCA confirming this result. The sinter analogue tablets were reduced in a 30% CO, 70% N2 gas mixture at 900°C in a tube furnace thermo-gravimetric analyzer. The degree of reduction of the tablets in this study was found to be controlled by the porosity of the samples, rather than by the morphology or mineralogy of the bonding phase.
Heme Oxygenase 1 (HO-1) as an Inhibitor of Trafficking of Normal and Malignant Hematopoietic Stem Cells – Clinical and Translational Implications
Authors: Ratajczak Mariusz Z. , Adamiak Mateusz , Ratajczak Janina , Kucia Magda 
Published: November 2020

AbstractEvidence indicates that bone marrow (BM)-residing hematopoietic stem/progenitor cells (HSPCs) are released into peripheral blood (PB) after administration of pro-mobilizing drugs, which induce a state of sterile inflammation in the BM microenvironment. In the reverse process, as seen after hematopoietic transplantation, intravenously injected HSPCs home and engraft into BM niches. Here again, conditioning for transplantation by myeloablative chemo- or radiotherapy induces a state of sterile inflammation that promotes HSPC seeding to BM stem cell niches. Therefore, the trafficking of HSPCs and their progeny, including granulocytes and monocytes/macrophages, is regulated by a response to pro-inflammatory stimuli. This responsiveness to inflammatory cues is also preserved after malignant transformation of hematopoietic cells. Results from our laboratory indicate that the responsiveness of hematopoietic cells to pro-inflammatory stimuli is orchestrated by Nlrp3 inflammasome. As reported, HO-1 effectively attenuates intracellular activation of Nlrp3 inflammasome as well as the pro-inflammatory effects of several humoral mediators, including complement cascade (ComC) cleavage fragments that promote migration of hematopoietic cells. Based on this finding, inhibition of HO-1 activity may become a practical strategy to enhance the mobilization and homing of normal HSPCs, and, alternatively, its activation may prevent unwanted spread and in vivo expansion of leukemic cells.
Clinical and Kinematic Features of Valproate-Induced Tremor and Differences with Essential Tremor
Authors: Paparella Giulia , Angelini Luca , De Biase Alessandro , Cannavacciuolo Antonio , Colella Donato , Di Bonaventura Carlo , Giallonardo Anna Teresa , Berardelli Alfredo , Bologna Matteo 
Published: November 2020

AbstractTremor is a common movement disorder that can be induced by medications, including valproate, which is used for the treatment of epilepsy. However, the clinical and neurophysiological features of valproate-induced tremor are still under-investigated. We performed a clinical and kinematic assessment of valproate-induced tremor by considering tremor body distribution and activation conditions. We investigated possible correlations between demographic and clinical data and kinematic features. Valproate-induced tremor results were also compared with those collected in a large sample of patients with essential tremor. Sixteen valproate-induced tremor patients and 93 essential tremor patients were enrolled. All participants underwent a standardised neurological examination and video recording. Patients also underwent an objective assessment of postural, kinetic and rest tremor of the upper limbs and head tremor through kinematic analysis. Nonparametric tests were used for statistical comparisons between the two groups. Clinical evaluation showed a higher occurrence of rest tremor as well as head or voice, and lower limb involvement in patients with valproate-induced tremor. Kinematic analysis showed a substantial variability in the tremor features of patients with valproate-induced tremor. Compared to essential tremor, we found a higher occurrence of rest tremor of the upper limbs and the involvement of more body segments in valproate-induced tremor patients. Valproate-induced tremor has distinctive clinical and kinematic features, which may suggest that valproate interferes with the cerebellar functions.
Guest or pest? Spatio-temporal occurrence and effects on soil and vegetation of the wild boar on Elba island
Authors: Greco Ilaria , Fedele Ettore , Salvatori Marco , Giampaoli Rustichelli Margherita , Mercuri Flavia , Santini Giacomo , Rovero Francesco , Lazzaro Lorenzo , Foggi Bruno , Massolo Alessandro , De Pietro Francesco , Zaccaroni Marco 
Published: November 2020

AbstractWhere allochthonous large mammals, such as the wild boars, occur in high density, human-wildlife conflicts may arise. Thus, assessing their spatio-temporal patterns is paramount to their management. We studied the wild boars on Elba island, Italy, where they have been introduced and are perceived as pests to address their occurrence and impact of foraging on natural habitat. We surveyed the western island with three camera trapping surveys within one year. We found that the species' estimated occupancy probability was higher in summer-autumn (0.75 ± 0.14) and winter-early spring (0.70 ± 0.10) than in spring–summer (0.53 ± 0.15), whereas detection probability did not vary. Occupancy was significantly associated with lower elevation and woodland cover. Lower site use of wild boars during spring–summer might reflect lower food availability in this season and/or boars’ movements towards landfarms outside the sampled area. Detectability increased with proximity to roads during spring–summer and decreased with humans’ relative abundance in other periods. Boars were mainly nocturnal, with decreasing overlap with human activity when human presence was higher in the park. Soil degradation caused by wild boars was higher in pine plantations, which is the cover with a lower conservation interest. The spatio-temporal activity of wild boars on the island appears driven by seasonal preferences for food-rich cover and avoidance of human disturbance. The lowered site use in months with lower resources could partially reflect increased proximity to settled and farmed areas, which may trigger crop-raiding and the negative perception by residents.
Management perspective of ethics in artificial intelligence
Authors: Baker-Brunnbauer Josef 
Published: November 2020

AbstractThis research addressed the management awareness about the ethical and moral aspects of artificial intelligence (AI). It is a general trend to speak about AI, and many start-ups and established companies are communicating about the development and implementation of AI solutions. Therefore, it is important to consider different perspectives besides the technology and data as the key elements for AI systems. The way in which societies are interacting and organising themselves will change. Such transformations require diverse perspectives from the society and particularly from AI system developers for shaping the humanity of the future. This research aimed to overcome this barrier with the answers for the question: What kind of awareness does the management of AI companies have about the social impact of its AI product or service? The central research question was divided into five sub-questions that were answered by a fundamental literature review and an empirical research study. This covered the management understanding of the terms moral, ethics, and artificial intelligence; the internal company prioritization of moral and ethics; and the involved stakeholders in the AI product or service development. It analysed the known and used ethical AI guidelines and principles. In the end, the social responsibility of the management regarding AI systems was analysed and compared.
Perceived professional competence of clinical research coordinators
Authors: Rojewski Jay W. , Choi Ikseon , Hill Janette R. , Kwon Se Jung , Choi Jasmine , Kim Eunice , McCauley Linda 
Published: November 2020

Abstract

Introduction:
This study examined the perceived competence of Clinical Research Coordinators (CRCs) using several conceptual frameworks. Accurate self-assessment of one’s professional competence is a critical component in the career navigation process and contributes to (a) identifying and securing professional development (training), (b) leveraging professional strengths, and (c) integrating self-knowledge into a comprehensive career plan.

Method:
A survey design gathered responses from a sample of 119 CRCs in a southeastern region of the USA Two conceptual frameworks were used to represent aspects of CRC professional competence: the eight Joint Task Force (JTF) competence domains, and perceptions of strengths and training needs from a list of 12 task categories.

Results:
The JTF domain with the lowest competence level was Development and Regulations, while the highest was Communication. Perceived competence increased incrementally with years of experience. Top strengths involved direct patient interaction and data management. Tasks in need of training included project management and reporting issues. Variations in responses were based on years of experience as a CRC.

Conclusion:
Our results demonstrate an association between the self-reported strengths and training needs of CRCs and experience. This information can contribute to the self-directed career navigation of CRCs.
Developments in Maritime Delimitation Law over the Last Decade: Emerging Principles in Modern Case Law
Authors: ACIKGONUL YUNUS EMRE , LUCAS EDWARD R. 
Published: November 2020

AbstractThe delimitation of maritime boundaries is a complex and multifaceted process with legal and technical aspects. The process involves the determination of a maritime boundary in a situation where two or more states are confronted with overlapping titles. In the absence of any precise rules in treaty law and established customary rules based on state practice, it has been left to the jurisprudence of international courts and tribunals to develop the applicable law of maritime boundary delimitation. This article provides a detailed examination of the complex and multifaceted processes involved in maritime delimitation law. In doing so, it highlights recent developments in the field, with an emphasis on the emerging principles of “non-cut-off” and “non-distortion.” The article also analyzes the crystalizing rules on delimitation beyond 200 nautical miles and questions the applicability of these rules to the ongoing maritime boundary dispute between Canada and the United States in the Beaufort Sea.
Teaching Disaster Medicine With a Novel Game-Based Computer Application: A Case Study at Sichuan University
Authors: Hu Hai , Liu Zihan , Li Hao 
Published: November 2020

ABSTRACTObjective:This study evaluates the effectiveness of our game-based pedagogical technique by comparing the learning, enjoyment, interest, and motivation of medical students who learned about best practices for patient surge in a natural disaster with a novel game-based computer application, with those of medical students who learned about it with a traditional lecture.Methods:We conducted our study by modifying an existing optional course in disaster medicine that we taught at Sichuan University. More specifically, in 2017, while our application was still in development, we taught this course by lecture. In this iteration, 63 third-grade medical students voluntarily joined our course as our ‘lecture group.’ Once our application was complete in 2018, 68 third-grade medical students voluntarily joined this course as the ‘game group.’ We examined the different effects of these learning methods on student achievement using pre -, post -, and final tests.Results:Both teaching methods significantly increased short-term knowledge and there was no statistical difference between the 2 methods (p > 0.05). However, the game group demonstrated significantly higher knowledge retention than the traditional lecture group (p < 0.05).Conclusion:Our game-based computer application proved to be an effective tool for teaching medical students best practices for caring for patient surge in a natural disaster.