bluuebunny/crossref_metadata_2025_split huggingface dataset:
Privacy Behaviour: A Model for Online Informed Consent
Authors: Burkhardt Gary , Boy Frederic , Doneddu Daniele , Hajli Nick 
Published: July 2022

AbstractAn online world exists in which businesses have become burdened with managerial and legal duties regarding the seeking of informed consent and the protection of privacy and personal data, while growing public cynicism regarding personal data collection threatens the healthy development of marketing and e-commerce. This research seeks to address such cynicism by assisting organisations to devise ethical consent management processes that consider an individual’s attitudes, their subjective norms and their perceived sense of control during the elicitation of consent. It does so by developing an original conceptual model for online informed consent, argued through logical reasoning, and supported by an illustrative example, which brings together the autonomous authorisation (AA) model of informed consent and the theory of planned behaviour (TPB). Accordingly, it constructs a model for online informed consent, rooted in the ethic of autonomy, which employs behavioural theory to facilitate a mode of consent elicitation that prioritises users’ interests and supports ethical information management and marketing practices. The model also introduces a novel concept, the informed attitude, which must be present for informed consent to be valid. It also reveals that, under certain tolerated conditions, it is possible for informed consent to be provided unwillingly and to remain valid: this has significant ethical, information management and marketing implications.
Turkish Stock Market from Pandemic to Russian Invasion, Evidence from Developed Machine Learning Algorithm
Authors: Alsayed Ahmed R. M. 
Published: July 2022

AbstractIn recent time, the two significant events; Coronavirus epidemic and Russian invasion are effecting all over the world in various aspects; healthily, economically, environmentally, and socially, etc. The first event has brought uncertainties to the economic situation in most countries based on the epidemic transmission. In addition to that, on 24th February 2022 the Russian invasion of Ukraine affected negatively almost all stock markets all over the world, but the effects are heterogeneous across countries according to their economic-political relationship or neighbourhood, etc. Due to that, the stock market price in Turkey has been affected dramatically over that period. This empirical study is the first attempts to explore the impact of Coronavirus epidemic and Russian invasion on the stock market index XU100 in Turkey by applying the developed statistical method namely elastic-net regression based on empirical mode decomposition which can precisely tackle the nonstationary and nonlinearity data. Then we performed the robustness check by applying a nonlinear techniques Markov switching regression. The data are collected from the beginning of the epidemic in Turkey from March 11, 2020 until May 31, 2022. The finding reveals that there is significant effect of the Coronavirus spreading on the Turkish stock market index, particularly during the first wave. Then after the Russian Invasion the XU100 index is effected more negatively. As the credit default swap and TL reference interest rate have a negative impact but the foreigner exchange rate has a positive significant impact on the XU100 index, and it varies according to the period of short term and long term. Moreover, the results obtained by using the robustness check shows a robust and consistent finding. In conclusion, understanding the impact of Coronavirus pandemic and Russian invasion on the Turkish stock market can provide important implications for investors, financial sectors, and policymakers.
Changes in students’ self-efficacy when learning a new topic in mathematics: a micro-longitudinal study
Authors: Street Karin E. S. , Malmberg Lars-Erik , Stylianides Gabriel J. 
Published: July 2022

AbstractSelf-efficacy in mathematics is related to engagement, persistence, and academic performance. Prior research focused mostly on examining changes to students’ self-efficacy across large time intervals (months or years), and paid less attention to changes at the level of lesson sequences. Knowledge of how self-efficacy changes during a sequence of lessons is important as it can help teachers better support students’ self-efficacy in their everyday work. In this paper, we expanded previous studies by investigating changes in students’ self-efficacy across a sequence of 3–4 lessons when students were learning a new topic in mathematics (nStudents = 170, nTime-points = 596). Nine classes of Norwegian grade 6 (n = 77) and grade 10 students (n = 93) reported their self-efficacy for easy, medium difficulty, and hard tasks. Using multilevel models for change, we found (a) change of students’ self-efficacy across lesson sequences, (b) differences in the starting point and change of students’ self-efficacy according to perceived task difficulty and grade, (c) more individual variation of self-efficacy starting point and change in association with harder tasks, and (d) students in classes who were taught a new topic in geometry had stronger self-efficacy at the beginning of the first lesson as compared to those who were taught a new topic in algebra (grade 10), and students in classes who were taught a new topic in fractions had steeper growth across the lesson sequence as compared to those who were taught a new topic in measurement (grade 6). Implications for both research and practice on how new mathematics topics are introduced to students are discussed.
The Dedalo Project, a Community-based Prevention Program for the Promotion of Healthy Behaviors in Adult Population: Model Description and Target Population Assessment
Authors: Bortoluzzi Sara , Coppo Alessandro , Alessi Daniela , Parovina Stefano , Napoletano Sara , Ammazzagatti Irene , Airoldi Chiara , Zibetti Angelica , Aleni Chiara , Caristia Silvia , Faggiano Fabrizio ,   DEDALO Coordinating Group, Coppo Alessandro , Alessi Daniela , Barale Antonella , Berti Maria Luisa , Taliano Claudia , Mento Marilena , Faggiano Fabrizio 
Published: July 2022

AbstractNoncommunicable diseases (NCDs) are the leading global cause of death. The Italian National Prevention Plan (INPP) highlights the importance of health promotion and NCD prevention while avoiding health inequalities. In line with the INPP guidelines, we initiated a multicomponent community-based intervention program, named the Dedalo project, to promote healthy and active aging among population living around the Vercelli’s municipality, Italy. A cross-sectional analysis, that used the baseline data of a longitudinal study of the project, evaluated the program’s ability to enroll participants participants who represent the socioeconomic conditions present in the municipality. To this end, we compared the main social characteristics and behaviors of 40–74-year-old subjects (n = 155), who had attended at least one Dedalo activity, to those of same age individuals (n = 124) randomly extracted from the general population. We found that most participants were women (81.3%) and had a higher SES compared to the general population. Furthermore, they were healthier—OR 0.52, 95% CI 0.31–0.87 for self-reported diseases—and displayed healthier behaviors—OR 0.20, 95% CI 0.08–0.46 for smokers; 0.32 95%, CI 0.16–0.64 for fruit/vegetable consumers; and 0.36 95% CI 0.20–0.64 for sweet beverages consumers. Overall, our initial evaluation indicates that the Dedalo project has so far struggled to enroll individuals with low SES, men with any SES, and subjects displaying unhealthy behaviors, thereby failing to meet the INPP goal of preventing NCDs while avoiding health disparities. Thus, efforts should be made to ensure that this community-based intervention program can effectively reach all the target population, in particular those individuals most exposed to behavioral risk factors.
The Computational Cost of Blocking for Sampling Discretely Observed Diffusions
Authors: Mider Marcin , Jenkins Paul A. , Pollock Murray , Roberts Gareth O. 
Published: July 2022

AbstractMany approaches for conducting Bayesian inference on discretely observed diffusions involve imputing diffusion bridges between observations. This can be computationally challenging in settings in which the temporal horizon between subsequent observations is large, due to the poor scaling of algorithms for simulating bridges as observation distance increases. It is common in practical settings to use ablocking scheme, in which the path is split into a (user-specified) number of overlapping segments and a Gibbs sampler is employed to update segments in turn. Substituting the independent simulation of diffusion bridges for one obtained using blocking introduces an inherent trade-off: we are now imputing shorter bridges at the cost of introducing a dependency between subsequent iterations of the bridge sampler. This is further complicated by the fact that there are a number of possible ways to implement the blocking scheme, each of which introduces a different dependency structure between iterations. Although blocking schemes have had considerableempiricalsuccess in practice, there has been no analysis of this trade-off nor guidance to practitioners on the particular specifications that should be used to obtain a computationally efficient implementation. In this article we conduct this analysis and demonstrate that the expected computational cost of a blocked path-space rejection sampler applied to Brownian bridges scales asymptotically at a cubic rate with respect to the observation distance and that this rate is linear in the case of the Ornstein–Uhlenbeck process. Numerical experiments suggest applicability both of the results of our paper and of the guidance we provide beyond the class of linear diffusions considered.
The G20 emission projections to 2030 improved since the Paris Agreement, but only slightly
Authors: Nascimento Leonardo , Kuramochi Takeshi , Höhne Niklas 
Published: July 2022

Abstract
Many years passed since the adoption of the Paris Agreement, which invites countries to determine their own contributions to climate change mitigation efforts. The Agreement does not offer a standard to measure progress but relies on a process of periodic stocktakes to inform ambition-raising cycles. To contribute to this process, we compare 2021 greenhouse gas emission projections up to 2030 against equivalent projections prepared back in 2015. Both sets of projections were prepared using the same bottom-up modelling approach that accounts for adopted policies at the time. We find that 2021 projections for the G20 as a group are almost 15% lower (approximately 6 GtCO2eq) in 2030 than projected in 2015. Annual emissions grow 1% slower in the coming decade than projected in 2015. This slower growth mostly stems from the adoption of new policies and updated expectations on technology uptake and economic growth. However, around one-quarter of these changes are explained by the effects of the COVID-19 pandemic on short-term emissions and economic forecasts. These factors combined result in substantially lower emission projections for India, the European Union plus the UK (EU27 + UK), the Unites States, Russia, Saudi Arabia, and South Africa. We observe a remarkable change in South African projections that changed from a substantial increase to now a decline, driven in part by the planned phase-out of most of its coal-based power. Emissions in India are projected to grow slower than in 2015 and in Indonesia faster, but emissions per capita in both countries remain below 5 tCO2eq in 2030, while those in the EU27 + UK decline faster than expected in 2015 and probably cross the 5 tCO2eq threshold before 2030. Projected emissions per capita in Australia, Canada, Saudi Arabia, and the United States are now lower than projected in 2015 but remain above 15 tCO2eq in 2030. Although emission projections for the G20 improved since 2015, collectively they still slightly increase until 2030 and remain insufficient to meet the Paris Agreement temperature goals. The G20 must urgently and drastically improve adopted policies and actions to limit the end-of-century warming to 1.5 °C.
End-effector trajectory tracking of flexible link parallel robots using servo constraints
Authors: Morlock Merlin , Burkhardt Markus , Seifried Robert , Eberhard Peter 
Published: July 2022

AbstractWe apply the concept of servo constraints to end-effector trajectory tracking control of parallel robots with structural link flexibilities. Such servo constraints deliver the inverse robot model where solution approaches via projections are proposed, which transform the resulting differential-algebraic equations to ordinary differential equations. The applicable solution process depends on the existence and stability of the internal dynamics. When using the exact end-effector of flexible link robots as output, this internal dynamics is usually unstable. Then a two-point boundary value problem is considered in the framework of stable inversion to obtain the noncausal solution offline. This solution is used as a feedforward control, which is initially combined only with actuator feedback control. To also account for errors within the link flexibility, the well-known linear–quadratic regulator is adapted to end-effector trajectory tracking based on differential-algebraic equations. Finally, we propose a systematic input–output feedback linearization approach, which uses servo constraints for flexible link parallel robots. Here a minimum phase system is obtained by tracking a redefined end-effector output, which is an approximation of the exact end-effector position. All control concepts are validated experimentally with a parallel robot having a highly flexible link. The results allow us to compare different control approaches and show the superior performance of controllers that rely on a flexible multibody model in contrast to classical rigid multibody modeling.
The Edible Plant Crithmum maritimum Shows Nutraceutical Properties by Targeting Energy Metabolism in Hepatic Cancer
Authors: Gnocchi Davide , Sabbà Carlo , Mazzocca Antonio 
Published: July 2022

AbstractIn the past few years, evidence has supported the role of plants as a valuable tool for the development of promising therapeutic support options for many diseases, including cancer. We recently discovered that the edible wild plant Crithmum maritimum L. effectively inhibits the growth of hepatocellular carcinoma (HCC) cells and we provide insights into the biological mechanisms involved. Here, we aimed to characterize the effect of ethyl acetate extract of Crithmum maritimum on the bioenergetic phenotype of HCC cells and if this is associated with the anti-tumour effect we previously described. Results show that Crithmum maritimum significantly increases cellular respiration and reduces lactic fermentation in HCC cells, and that this reduction of the fermentative glycolytic phenotype is linked to inhibition of HCC growth. These data provide new preclinical evidence supporting the role of Crithmum maritimum L. as a nutraceutical option to expand the therapeutic opportunities in the management of HCC.
Foxes at your front door? Habitat selection and home range estimation of suburban red foxes (Vulpes vulpes)
Authors: Kobryn Halina T. , Swinhoe Edward J. , Bateman Philip W. , Adams Peter J. , Shephard Jill M. , Fleming Patricia A. 
Published: July 2022

AbstractThe red fox (Vulpes vulpes) is one of the most adaptable carnivorans, thriving in cities across the globe. We used GPS-tracking of five suburban foxes across high-density residential suburbs of Perth, Western Australia to quantify (1) their habitat selection and (2) home range area. All five foxes showed statistically significant avoidance of residential locations (p < 0.001) and preference for parkland (p < 0.001), with native vegetation reserves, golf courses, and water reserves showing disproportionately greater use. Landuse category also influenced their movements, with foxes moving quickest (i.e., commuting) in proximity to roads and slowest (i.e., foraging) when they were further from roads. Three females had core home ranges (50% autocorrelated-corrected kernel density estimate; AKDEc) averaging 37 ± 20 ha or 95% AKDEcaveraging 208 ± 196 ha. One male had a 95 ha core home range and 349 ha 95% AKDEcbut the other male covered an area ~ 20 times this: using a 371 ha core home range and 7,368 ha 95% AKDEc. The extensive movement patterns we describe are likely to be common for urban foxes, with half of published home range estimates for urban foxes (principally based on VHF data) excluding data for ‘lost’ individuals or animals that showed ‘excursions’. It is likely that the home range estimates for these urban exploiters have therefore been grossly underestimated to date. Further application of GPS trackers that allow remote download will vastly improve our understanding of habitat preference and exploitation of resources by urban foxes.
Leveraging Technology to Increase Behavioral Health Services Access for Youth in the Juvenile Justice and Child Welfare Systems: a Cross-systems Collaboration Model
Authors: Tolou-Shams Marina , Holloway Evan D. , Ordorica Catalina , Yonek Juliet , Folk Johanna B. , Dauria Emily F. , Lehn Kristiana , Ezimora Ifunanya , Wiley Honorable Monica F. 
Published: July 2022

AbstractBehavioral health services access for justice- and child welfare-involved youth is limited despite significant need. Structural interventions to address limited access are nascent. Technology can advance access, but few interventions focus on system-impacted youth and their mental health needs and challenges. This article describes the development, process, and initial outcomes of the Youth Justice and Family Well-Being Technology Collaborative (JTC) that was formed to leverage technology within and across public health and justice-related systems to promote increased behavioral health services access. Cross-system considerations are identified for public health, court, and other key stakeholders to successfully integrate technology into practice to expand access to these critical services.
Prevalence and treatment of fragility fractures in Spanish primary care: PREFRAOS study
Authors: Martínez-Laguna Daniel , Carbonell Cristina , Bastida José-Carlos , González Milagros , Micó-Pérez Rafael M. , Vargas Francisco , Balcells-Oliver Mónica , Canals Laura ,   on behalf of the PREFRAOS Group
Published: July 2022

Abstract

Summary
In Spanish primary care (PC), the prevalence of fragility fractures (FF) in subjects ≥ 70 years old is high, especially in women. One-third of subjects with an FF lacked osteoporosis (OP) diagnosis and >50% were not currently receiving OP medication. An improvement of the FF management in this population is needed.

Purpose
In Spanish PC, the prevalence of FF is high, especially in women. One-third of subjects with a FF lacked an OP diagnosis and more than half were not currently receiving OP medication. Several studies reported underdiagnosis/undertreatment of OP in PC among elderly subjects with FF. To date, no such data exist for Spain. The purpose is to estimate the prevalence of FF in the elderly population (≥ 70 years old) and to describe the characteristics, risk factors, comorbidities, and OP diagnosis and treatment rates of subjects with FF in Spanish PC centers.

Methods
This is an observational, retrospective study in Spain consisting of two phases. Phase A included all subjects ≥ 70 years old listed in the center’s medical records from November 2018 to March 2020. Phase B included subjects with FF and prior consultation at the center for any reason. Subjects were excluded only if they had previously participated in another study. Primary outcomes were prevalence of FF (phase A) and characteristics of subjects with at least one FF (phase B).

Results
The overall prevalence of FF was 17.7% among subjects visiting medical centers for any reason (24.1% women vs. 8.0% men) (30 PC centers from 14 Spanish regions). Vertebral (5.1%) was the most prevalent fracture. Of 665 subjects in phase B, most (87%) were women and ≥ 80 years old (57%), suffered mainly major OP fracture (68%), and had multiple comorbidities (≥ 2, 89.2%). While two-thirds had OP diagnosis and 61.1% received OP medication anytime in the past, 56.8% were not currently receiving OP medication. Diagnosis and treatment rates were lower among men (43% and 38% vs. 70% and 65%, respectively).

Conclusion
Prevalence of FF was high, especially in women. One-third of subjects lacked OP diagnosis and ≥ 50% were not receiving OP treatment; diagnosis and treatment gaps were larger among men. This reinforces the need to improve the management of FF in the elderly population. However, as PC centers participating in this study had high OP experience that have the potential to do better in terms of diagnosis and treatment, caution in the generalization of these data should be taken.
Niobium and Molybdenum as Alloying Constituents in Al0.3CoCrFeNi to Develop Eutectic High-Entropy Alloys for HVOF Spraying
Authors: Preuß B. , Lindner T. , Uhlig T. , Wagner G. , Lampke T. 
Published: July 2022

AbstractThe addition of refractory metals represents a promising approach for development of future high-entropy alloys (HEAs). Niobium and molybdenum are particularly suitable additives for increasing hardness as well as wear and corrosion resistance. In the context of surface protection applications, eutectic high-entropy alloys (EHEAs) with their homogeneous property profile are of specific interest. In the present work, two EHEAs were developed starting from the alloy Al0.3CoCrFeNi using electric arc melting. Following mechanical and microstructural characterization, the two alloys were found to have the compositions Al0.3CoCrFeNiMo0.75 and Al0.3CoCrFeNiNb0.5. For thermal spray processing, powders of the above alloys were prepared by inert gas atomization. The coatings produced by high-velocity oxy-fuel spraying (HVOF) were characterized and evaluated compared with castings, allowing process–structure–property relationships to be derived. Based on the results, statements on possible application potential can be made.
Unintended nutrient imbalance induced by wastewater effluent inputs to receiving water and its ecological consequences
Authors: Tong Yindong , Wang Xuejun , Elser James J. 
Published: July 2022

AbstractEutrophication is the most widespread water quality issue globally. To date, most efforts to control eutrophication have focused on reductions of external nutrient inputs, yet importance of nutrient stoichiometry and subsequent shift in plankton composition in aquatic ecosystem has been largely neglected. To address eutrophication, improved sanitation is one of the United Nations Sustainable Development Goals, spurring the constructions of wastewater treatment facilities that have improved water quality in many lakes and rivers. However, control measures are often targeted at and effective in removing a single nutrient from sewage and thus are less effective in removing the others, resulting in the changes of nutrient stoichiometry. In general, more effective phosphorus removal relative to nitrogen has occurred in wastewater treatment leading to substantial increases in N/P ratios in effluent relative to the influent. Unfortunately, high N/P ratios in receiving waters can impose negative influences on ecosystems. Thus, long-term strategies for domestic wastewater management should not merely focus on the total reduction of nutrient discharge but also consider their stoichiometric balances in receiving waters.