bluuebunny/crossref_metadata_2025_split huggingface dataset:
Small Amplitude Periodic Orbits in Three-Dimensional Quadratic Vector Fields with a Zero-Hopf Singularity
Authors: García Isaac A. 
Published: September 2022

AbstractWe consider some families of three-dimensional quadratic vector fields having a fixed zero-Hopf equilibrium. We are interested in the bifurcation of periodic $$\nu $$
ν
-orbits from the singularity, that is, those small amplitude orbits that make a fixed arbitrary number $$\nu $$
ν
of revolutions about a rotation axis and then returns to the initial point closing the orbit. When the parameters of the family are restricted to certain explicitly computable open semi-algebraic sets $$\Lambda $$
Λ
, we characterize those parameters that give rise to the appearance of local two-dimensional periodic invariant manifolds through the singularity. Also we use a Bautin-type analysis to study the maximum number of small-amplitude $$\nu $$
ν
-limit cycles that can be made to bifurcate from the equilibrium when the parameters of the family are restricted to $$\Lambda $$
Λ
. We obtain global upper bounds on the number of bifurcated $$\nu $$
ν
-limit cycles.
Collaborative Study for Certification of Trace Elements in Uranium Ore Concentrate CRMs UCLO-1, UCHI-1, and UPER-1
Authors: LeBlanc Kelly L. , Nadeau Kenny , Meija Juris , Yang Lu , Babay Paola A. , Bavio Marta A. , Boome Carrie , Chipley Don , Cristaldo Leguizamón Roxana S. , Denton Joanna , Drew Dana L. , Fernández Mauricio A. , Fugaru Viorel , Genetti Victoria D. , Gonzalez Florencia , Inglis Jeremy D. , Jovanovic Slobodan , Keegan Elizabeth , Kell Tara , Kimura Yoshiki , Kinman William , Kiser Stephen , Lindvall Rachel E. , Loi Elaine , Mayer Klaus , Mercier Jean-Francois , Millar Robert , Nicholl Adrian , Orlovskaya Liana , Ramella José Luis , Serban Andreea , Sharp Michael A. , Shi Youqing , Tóbi Csaba , Valenzuela Lautaro , Varga Zsolt , Vesterlund Anna , Virgolici Marian , Yamazaki Hitoshi , Zubillaga Erica N. , El-Jaby Ali , Mester Zoltán 
Published: September 2022

AbstractTrace impurity patterns are important nuclear forensic signatures in uranium ore concentrates (UOCs) and Certified Reference Materials (CRMs) are used to validate the analysis methods employed by end users. Herein, we discuss the certification campaign for three new UOC CRMs from the National Research Council Canada: UCLO-1 (https://doi.org/10.4224/crm.2020.uclo-1), UCHI-1 (https://doi.org/10.4224/crm.2020.uchi-1), and UPER-1 (https://doi.org/10.4224/crm.2020.uper-1). This study involved 15 laboratories from 10 countries, using sector-field and (triple) quadrupole inductively-coupled plasma mass spectrometry to analyze 64 trace element impurities. We discuss the importance of the acids used for sample digestion, difficulties analyzing in a high uranium matrix, and data combination and uncertainty evaluation for this large dataset.
Green MoS2 nanosheets as a promising material for decontamination of hexavalent chromium, pharmaceuticals, and microbial pathogen disinfection: spectroscopic study
Authors: Ali Mohamed Eid M. , Mohammed Reem. , Abdel-Moniem Shimaa M. , El-Liethy Mohamed Azab , Ibrahim Hanan S. 
Published: September 2022

AbstractPhotoreduction of chromium hexavalent ions (Cr6+) from the aquatic environment is urgently needed due to its impairing effect on human health. Adsorption, photoreduction, and desorption of reduced trivalent chromium (Cr3+) at the photocatalyst surface are all significant factors for determining photocatalytic reduction efficiency. Herein, we report a facile, template-free hydrothermal approach to fabricate green and homogeneous mixed-phase (1 T/2H) molybdenum disulfide (MoS2) nanosheets for highly efficient removal of Cr6+ ions and pharmaceuticals from wastewater. The nanostructure and morphology of the obtained (1 T/2H) MoS2 are investigated; the calculated crystallite size of the (2H/1 T) MoS2 nanosheets is found to be 1.7 nm. The presence of surface functional groups adsorption, and photoreduction processes is confirmed by spectroscopic studies using Fourier transform infrared (FTIR) spectra. Additionally, Raman spectra confirmed the formation of 1 T/2H mixed-phase MoS2 which illustrates its crystal phases, structure, and chemical composition. Moreover, the point-of-zero charge analysis revealed the positively charged surface in the acid system. The obtained results revealed the non-toxicity of MoS2 nanosheets at doses lower than 1000 ppm. The results reveal that the (1 T/2H) MoS2 exhibited impressive reduction performance for Cr6+; the reduction efficiency of chromium Cr6+ is 100% under simulated sunlight, 90 min at pH (3). Further spectroscopic study results confirm the importance of the adsorption step in Cr6+ ions photoreduction. Different pharmaceuticals are also completely degraded over (1 T/2H) MoS2 nanosheets. Interestingly, complete removals of E. coli O157:H7, Listeria monocytogenes, and Candida albicans were observed at a dose of MoS2 nanosheets of 250 ppm after a contact time of 30, 30, and 45 min, respectively. The results of the current work could lead to a rational design of high-performance nanosheets for the efficient decontamination of heavy metals, pharmaceuticals, and pathogens from aquatic environments.
Graphical abstract
A first step towards a IoT-based local early warning system for an unsaturated slope in Norway
Authors: Piciullo Luca , Capobianco Vittoria , Heyerdahl Håkon 
Published: September 2022

AbstractA framework for a IoT-based local landslide early warning system (Lo-LEWS) has been proposed. Monitoring, modelling, forecasting and warning represent the main phases of the proposed framework. In this study, the first two phases have been applied to capture the hydrological behaviour of a natural unsaturated slope located adjacent to a railway track in Eastern Norway. The slope is monitored and the stability is kept under frequent observation, due to its steepness and the presence of the railway lines at the toe. The commercial software GeoStudio SEEP was used to create and calibrate a model able to replicate the in situ monitored volumetric water content (VWC) and pore water pressure (PWP) regime. The simulations conducted were divided into two main series: one with an initial calibration of the VWC profile (C) and another with no calibration (NC). The simulations have been validated using Taylor diagrams, which graphically summarize how closely a pattern (or a set of patterns) matches observations. The results show that a preliminary calibration for matching the in situ VWC, as well as considering climate conditions and vegetation, are crucial aspects to model the response of the studied unsaturated slope. A sensitivity analysis on the hydraulic conductivity and the permeability anisotropy ratio contributed to better define the input data and to improve the best-fit model result. The effectiveness of the best simulation, in back-calculating VWC, was tested for 3 different time periods: 6-month, 1-year, 1.25-year. The results show that the hydrological model can adequately represent the real monitored conditions up to a 1-year period, a recalibration is needed afterward. In addition, a slope stability analysis with GeoStudio SLOPE for the 1-year period was coupled to the hydrological model. Finally, the calculated safety factor (FS), the temperature, the precipitation, the VWC and PWP monitored were used as input dataset for a supervised machine learning algorithm. A random forest model highlighted the importance of the monitored VWC for forecasting the FS. The findings presented in this paper can be seen as a first step towards an Internet of Things (IoT)-based real-time slope stability analysis that can be employed as Lo-LEWS.
The Brexit referendum and three types of regret
Authors: Drinkwater Stephen , Jennings Colin 
Published: September 2022

AbstractIn this paper we examine three forms of regret in relation to the UK’s hugely significant referendum on EU membership that was held in June 2016. They are: (i) whether ‘leave’ voters at the referendum subsequently regretted their choice (in the light of the result), (ii) whether non-voters regretted their decisions to abstain (essentially supporting ‘remain’) and (iii) whether individuals were more likely to indicate that it is everyone’s duty to vote following the referendum. We find evidence in favor of all three types of regret. In particular, leave voters and non-voters were significantly more likely to indicate that they would vote to remain given a chance to do so again; moreover, the probability of an individual stating that it was everyone’s duty to vote in a general election increased significantly in 2017 (compared to 2015). The implications of the findings are discussed in the context of the referendum’s outcome.
Conditional Parochial Vicarious Ostracism: Gender Collective Narcissism Predicts Distress at the Exclusion of the Gender Ingroup in Women and Men
Authors: de Zavala Agnieszka Golec 
Published: September 2022

AbstractThree experiments (two pre-registered) tested whether gender collective narcissism (i.e., a belief that one’s gender ingroup’s exceptionality is not sufficiently recognized by others) predicts parochial vicarious ostracism (i.e., feeling ostracized and distressed while recognizing the gender ingroup’s exclusion, but not when recognizing the exclusion of the gender outgroup). In all studies (overallN = 1480), gender collective narcissism was positively associated with distress among women who witnessed the exclusion of women, but not among men who witnessed the exclusion of women. In Study 3, gender collective narcissism was positively associated with distress among men who witnessed the exclusion of men, but not among women who witnessed the exclusion of men. These findings help explain why men do not universally feel distressed by the discrimination of women and why some women may mobilize to challenge gender discrimination.
A Comprehensive Review of the Importance of Selected Trace Elements Present in Edible Insects
Authors: Mabelebele M. , Kolobe S. D. , Malematja E. , Sebola N. A. , Manyelo T. G. 
Published: September 2022

AbstractThis review is intended to provide recent published information on trace elements from edible insects from various environments. Recently, insects are gaining popularity as food proteins in developing countries and press higher demand for edible insects since they may provide similar nutritional value as meat. Insects have been part of the human diet in the world for decades and at least 1900 insect species are considered edible. Furthermore, insects play a crucial role in socioeconomic by contributing to the world’s food security as well as eradicating poverty in rural communities. Generally, edible insects are considered a readily available source of proteins, carbohydrates, and chitin. They also contain considerable amounts of trace elements such as iron, zinc, copper, and manganese. It has been observed that there is a great variation between mineral contents found in insects of the same or different species. Knowledge and comprehensive understanding of trace element contents of edible insects are crucial to fully maximise their utilisation in diets and prevent mineral deficiency in human beings and animals. However, most of the research on insects has focused on the nutritional contents of insects with less attention given to other nutritional components such as minerals and trace elements. The available data on trace elements from edible insects as food is limited and makes it difficult to draw estimations for the nutrient intake of humans and animals. Therefore, this review aimed to provide comprehensive information on availability of iron, zinc, copper, and manganese from selected edible insects, functions, and deficiencies in both humans and animals.
Extended Interviews with Stroke Patients Over a Long-Term Rehabilitation Using Human–Robot or Human–Computer Interactions
Authors: Koren Yaacov , Feingold Polak Ronit , Levy-Tzedek Shelly 
Published: September 2022

AbstractSocially assistive robots (SARs) have been proposed to assist post-stroke patients in performing their exercise during their rehabilitation process, with the trust in the robot identified as an important factor in human–robot interaction. In the current study, we aimed to identify and characterize factors that influence post-stroke patients’ trust in a robot-operated and a computer-operated rehabilitation platform during and after a long-term experience with the platform. We conducted 29 interviews with 16 stroke patients who underwent a long-term rehabilitation process, assisted by either a SAR or a computer interface. The intervention lasted 5–7 weeks per patient, for a total of 229 sessions over 18 months. By using a qualitative research method—extended interviews “in the wild” with stroke patients, over a long-term rehabilitation process—our study reveals users’ perspectives regarding factors affecting trust in the SAR or in the computer interface during their rehabilitation process. The results support the assertion that SARs have an added value in the rehabilitative care of stroke patients; It appears that personal characteristics, such as age and gender, have an effect on the users’ acceptance of a non-human operator as a practice assistant. Our findings support the notion that SARs augment rehabilitative therapies beyond a standard computer; Importantly, patients appreciated different aspects of the non-human operator in the two groups: In the SAR group, users preferred its functional performance over its anthropomorphized social skills; In the Computer group, users highlighted its contribution to the training of their memory skills.
Effects of technology enhanced peer, teacher and self-feedback on students’ collaborative writing, critical thinking tendency and engagement in learning
Authors: Zou Di , Xie Haoran , Wang Fu Lee 
Published: September 2022

AbstractPeer, teacher, and self-feedback have been widely applied in English writing courses in higher education. However, few studies have used technology to activate the potential of feedback in project-based collaborative learning or discussed how technology-enhanced peer, teacher and self-feedback may assist students’ writing, promote their critical thinking tendency, or enhance their engagement in learning, so we investigated them in this research. A total of 90 students, 30 in each group, participated in it. They reported their progress at four stages every other week, received peer, teacher, and self-feedback respectively for 10 weeks, and submitted their finalized review articles in week 14. Before the treatment, we evaluated the students’ writing proficiency and critical thinking tendency through a pre-test and a pre-questionnaire survey. After the treatment, we evaluated their collaborative writing products and conducted a post-questionnaire survey to measure their critical thinking tendency and behavioral, cognitive, and emotional engagement in learning. The results indicated that technology-enhanced peer and teacher feedback were significantly more effective than self-feedback in assisting collaborative writing; peer and self-feedback were significantly more effective than teacher feedback in promoting critical thinking tendency, enhancing behavioral and emotional engagement in learning; and teacher feedback was significantly more effective than self-feedback in enhancing cognitive engagement in learning. We also conducted semi-structured interviews to investigate their perception of the three feedback types and the technology-enhanced feedback-assisted collaborative writing experience. Most students enjoyed the writing experience and regarded the use of digital tools effective for its implementation. Based on these results, we suggest that teachers implement more technology-enhanced peer and self-feedback assisted collaborative writing.
Visual variables and configuration of software maps
Authors: Limberger Daniel , Scheibel Willy , Döllner Jürgen , Trapp Matthias 
Published: September 2022

AbstractSoftware maps provide a general-purpose interactive user interface and information display in software analytics. This paper classifies software maps as a containment-based treemap embedded into a 3D attribute space and introduces respective terminology. It provides a comprehensive overview of advanced visual metaphors and techniques, each suitable for interactive visual analytics tasks. The metaphors and techniques are briefly described, located within a visualization pipeline model, and considered within a software map design space. The general expressiveness and applicability of visual variables are detailed and discussed. Consequent applications and use cases for different software system data and software engineering data are discussed, arguing for the versatile use of software maps in visual software analytics.
Familial and Bullying Victimisation: The Impact of Early Adversity Within the Home and Peer Settings on Late Adolescence and Adult Psychopathology
Authors: Bond N.I. , McLafferty M. , Lapsley C. , Ennis E. , Murray E. , Heenan D. , O’Neill S.M. 
Published: September 2022

Abstract
Background
Awareness of adverse childhood experiences and their impact on adult psychopathology primarily focuses on adversities within the home. There is limited insight into the impact of adversities across peer environments.

Objective
This study investigates 19 items related to adverse experiences across the home, school and peer environments and their relationship to 12-month and lifetime psychopathology.

Data
Secondary analysis of the Ulster University Student Well-being Study. The dataset included completed responses across all selected variables for 729 participants.

Method and Results
Latent profile analysis identified a low adversity profile, bullying adversity profile and higher prevalence adversity profile. Regression analysis of the three profiles and demographics variables indicated their impact on adult psychopathology lifetime and 12-month prevalence rates.

Conclusion
Schools and HE institutions should acknowledge the impact of childhood adversities. In doing so, it is important to consider the deeper impact of bullying due to its links with psychopathology across the lifespan. Educational institutions should take appropriate steps to mitigate continued exposure as students’ progress through the education system.
Sportengagement von Mädchen mit und ohne Migrationshintergrund – Analyse der Entwicklung auf Basis der SOEP-Jugendbefragungen 2000–2018
Authors: Gehrmann Sebastian , Kraus Christine-Irene , Fast Natalia , Kleindienst-Cachay Christa , Kastrup Valerie 
Published: September 2022

ZusammenfassungEs konnte vielfach empirisch nachgewiesen werden, dass sich das Vorhandensein eines Migrationshintergrunds bei Mädchen im Jugendalter negativ auf ein Sportengagement in organisierter Form auswirkt. Dennoch existieren Forschungslücken, die mit den Analysen der vorliegenden Studie geschlossen werden sollen. Es wird überprüft, (1) wie sich die Beteiligung am (organisierten) Sport von 2000 bis 2018 entwickelt, (2) welche sozialstrukturellen Faktoren die Beteiligung der Gruppe der Mädchen mit Migrationshintergrund beeinflussen und (3) welche Sportarten ausgeübt werden. Diesen Fragen wird quantitativ-empirisch mit Daten des Sozioökonomischen Panels (SOEP) nachgegangen, wobei die Fragen (1) und (3) mit deskriptiven Verfahren und Frage (2) mit einer binär-logistischen Regressionsanalyse zu beantworten versucht werden. Für die Analyse stehen Daten von 954 Mädchen mit und 2616 ohne Migrationshintergrund, die in Deutschland leben, zur Verfügung.Die Ergebnisse zeigen, dass Mädchen mit Migrationshintergrund seltener Sport treiben als Mädchen ohne und sich diese Quoten auch im Zeitvergleich nicht annähern. Vor allem türkeistämmige Mädchen und solche aus Ländern der ehemaligen Sowjetunion partizipieren seltener. Auf der anderen Seite erhöht der Besuch einer Gesamtschule und vor allem eines Gymnasiums die Wahrscheinlichkeit, dass Mädchen mit Migrationshintergrund organisiert Sport ausüben, deutlich. Mädchen mit und ohne Migrationshintergrund üben im Zeitverlauf häufiger Fitnesssport aus, wohingegen Ballsportarten zurückgehen, bei Mädchen mit Migrationshintergrund ist dieser Trend noch stärker.
Constitutional equality and executive action – a comparative perspective to the comparator problem
Authors: Chng Kenny 
Published: September 2022

AbstractA general right to equality is a common feature of written constitutions around the world. Interesting questions arise when one seeks to apply such rights to discrete executive acts. The subject of such acts has necessarily been singled out from a multitude of possibilities for the purposes of the act. To determine whether a differentiation has occurred such that like cases have not been treated alike, to what or whom should this subject be compared? The question of how one selects the proper comparator becomes especially significant when one notes that whether the equal protection guarantee is triggered at all depends on the answer to this question. This paper will study how courts in Hong Kong and Singapore have addressed these difficulties. It argues that three categories of approaches can be discerned in these jurisdictions: class-focused, policy-focused, and justification-focused approaches. It critically evaluates each approach, argues in favour of a justification-focused approach to constitutional equal protection in the context of discrete executive acts, and explores the implications of such an approach for the proper relationship between constitutional equality and administrative law.
Sur le potentiel de croissance du Parti conservateur du Québec
Authors: Déry Axel , Bibeau Alexis , Cadieux Hubert , Dufresne Yannick 
Published: September 2022

RésuméDepuis un an, le Parti conservateur du Québec (PCQ) a fait des gains considérables dans les sondages d'intention de vote. Le parti peut-il encore faire des gains ou a-t-il atteint son plein potentiel? Dans cette note de recherche, nous tentons de répondre à cette question en utilisant un nouvel indicateur, l'index relatif de confiance (IRC), qui permet de mesurer le potentiel de croissance et la solidité du vote des partis.
A flexible wearable e-skin sensing system for robotic teleoperation
Authors: Zhong Chuanyu , Zhao Shumi , Liu Yang , Li Zhijun , Kan Zhen , Feng Ying 
Published: September 2022

AbstractElectronic skin (e-skin) is playing an increasingly important role in health detection, robotic teleoperation, and human-machine interaction, but most e-skins currently lack the integration of on-site signal acquisition and transmission modules. In this paper, we develop a novel flexible wearable e-skin sensing system with 11 sensing channels for robotic teleoperation. The designed sensing system is mainly composed of three components: e-skin sensor, customized flexible printed circuit (FPC), and human-machine interface. The e-skin sensor has 10 stretchable resistors distributed at the proximal and metacarpal joints of each finger respectively and 1 stretchable resistor distributed at the purlicue. The e-skin sensor can be attached to the opisthenar, and thanks to its stretchability, the sensor can detect the bent angle of the finger. The customized FPC, with WiFi module, wirelessly transmits the signal to the terminal device with human-machine interface, and we design a graphical user interface based on the Qt framework for real-time signal acquisition, storage, and display. Based on this developed e-skin system and self-developed robotic multi-fingered hand, we conduct gesture recognition and robotic multi-fingered teleoperation experiments using deep learning techniques and obtain a recognition accuracy of 91.22%. The results demonstrate that the developed e-skin sensing system has great potential in human-machine interaction.