bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptation to the Speed of Biological Motion in Autism
Authors: Karaminis Themis , Arrighi Roberto , Forth Georgia , Burr David , Pellicano Elizabeth 
Published: October 2019

Abstract
Autistic individuals often present atypicalities in adaptation—the continuous recalibration of perceptual systems driven by recent sensory experiences. Here, we examined such atypicalities in human biological motion. We used a dual-task paradigm, including a running-speed discrimination task (‘comparing the speed of two running silhouettes’) and a change-detection task (‘detecting fixation-point shrinkages’) assessing attention. We tested 19 school-age autistic and 19 age- and ability-matched typical participants, also recording eye-movements. The two groups presented comparable speed-discrimination abilities and, unexpectedly, comparable adaptation. Accuracy in the change-detection task and the scatter of eye-fixations around the fixation point were also similar across groups. Yet, the scatter of fixations reliably predicted the magnitude of adaptation, demonstrating the importance of controlling for attention in adaptation studies.
Multi-source transfer learning of time series in cyclical manufacturing
Authors: Zellinger Werner , Grubinger Thomas , Zwick Michael , Lughofer Edwin , Schöner Holger , Natschläger Thomas , Saminger-Platz Susanne 
Published: October 2019

AbstractThis paper describes a new transfer learning method for modeling sensor time series following multiple different distributions, e.g. originating from multiple different tool settings. The method aims at removing distribution specific information before the modeling of the individual time series takes place. This is done by mapping the data to a new space such that the representations of different distributions are aligned. Domain knowledge is incorporated by means of corresponding parameters, e.g. physical dimensions of tool settings. Results on a real-world problem of industrial manufacturing show that our method is able to significantly improve the performance of regression models on time series following previously unseen distributions.Graphic abstract
Choose change: Situation modification, distraction, and reappraisal in mild versus intense negative situations
Authors: Van Bockstaele Bram , Atticciati Ludovica , Hiekkaranta Anu P. , Larsen Helle , Verschuere Bruno 
Published: October 2019

Abstract
Despite the theoretical importance and applied potential of situation modification as an emotion regulation strategy, empirical research on how people change situations to regulate their emotions is scarce. Meanwhile, existing paradigms typically allowed participants to avoid the entire situation, thus confounding situation modification with situation selection. In our current experiments, participants could choose between partially modifying their negative emotional environment without avoiding it entirely and two well-established emotion regulation strategies (reappraisal and distraction). Participants did choose situation modification (Experiments 1–2) and they did so more often for intense than for mild stimuli in Experiment 2. In addition, modifying the stimulus display effectively helped downregulating negative affect (Experiments 1–2). Finally, in both experiments, participants opted more for distraction for intense compared to mild stimuli, while they opted more for reappraisal for mild compared to intense stimuli. Presenting a first step in developing a paradigm that allows people to exert control over but to not avoid emotion-provoking situations, we thus show that changing one’s environment helps regulating one’s emotions. More generally, our findings indicate that people prefer to regulate their emotions using disengagement strategies (situation modification and distraction) with high-intensity relative to low-intensity negative situations, while they prefer engagement strategies (reappraisal) with low-intensity relative to high-intensity negative situations.
The role of perceived environment, neighbourhood characteristics, and attitudes in walking behaviour: evidence from a rapidly developing city in China
Authors: Chan Eric T. H. , Schwanen Tim , Banister David 
Published: October 2019

AbstractThe associations between objective and subjective dimensions of the built environment and walking behaviour have been examined extensively in existing studies. However, the interaction effects of those dimensions of the built environment on walking behaviour are understudied and may be more complex than hitherto suggested. Apart from the subjective dimensions of the built environment, walking attitudes also play a role in moderating these relationships. This paper investigates the independent and joint effects of objective neighbourhood characteristics, people’s perceptions of the neighbourhood environment, and walking attitudes on the frequency of walking by using Shenzhen as a case study. Since those effects may vary across different kinds of walking trips, the analysis looks separately at three major types of walking at the neighbourhood level—walking for work/school, walking for leisure/recreation, and walking for household responsibilities. Logistic regression analyses confirm that the correlates of people’s walking frequency vary considerably among different types of walking. Statistically significant interaction effects of objective neighbourhood characteristics and perceived environment are found. The results suggest that positive perceptions of the environment can compensate for the effect that low objective walkability of neighbourhoods has on people’s walking frequency. When seeking to encouraging walking at the neighbourhood level, policymakers should not only concentrate on improving objective neighbourhood characteristics but also consider people’s perception of the neighbourhood environment and their attitudes towards walking.
Measuring the Spatial Dimension of Regional Inequality: An Approach Based on the Gini Correlation Measure
Authors: Panzera Domenica , Postiglione Paolo 
Published: October 2019

AbstractTraditional inequality measures fail to capture the geographical distribution of income. The failure to consider such distribution implies that, holding income constant, different spatial patterns provide the same inequality measure. This property is referred to as anonymity and presents an interesting question about the relationship between inequality and space. Particularly, spatial dependence could play an important role in shaping the geographical distribution of income and could be usefully incorporated into inequality measures. Following this idea, this paper introduces a new measure that facilitates the assessment of the relative contribution of spatial patterns to overall inequality. The proposed index is based on the Gini correlation measure and accounts for both inequality and spatial autocorrelation. Unlike most of the spatially based income inequality measures proposed in the literature, our index introduces regional importance weighting in the analysis, thereby differentiating the regional contributions to overall inequality. Starting with the proposed measure, a spatial decomposition of the Gini index of inequality for weighted data is also derived. This decomposition permits the identification of the actual extent of regional disparities and the understanding of the interdependences among regional economies. The proposed measure is illustrated by an empirical analysis focused on Italian provinces.
On the Use of Ultrasound Waves to Monitor the Local Dynamics of Friction Joints
Authors: Pesaresi L. , Fantetti A. , Cegla F. , Salles L. , Schwingshackl C.W. 
Published: October 2019

AbstractFriction joints are one of the fundamental means used for the assembly of structural components in engineering applications. The structural dynamics of these components becomes nonlinear, due to the nonlinear nature of the forces arising at the contact interface characterised by stick-slip phenomena and separation. Advanced numerical models have been proposed in the last decades which have shown some promising capabilities in capturing these local nonlinearities. However, despite the research efforts in producing more advanced models over the years, a lack of validation experiments made it difficult to have fully validated models. For this reason, experimental techniques which can provide insights into the local dynamics of joints can be of great interest for the refinement of such models and for the optimisation of the joint design and local wear predictions. In this paper, a preliminary study is presented where ultrasound waves are used to characterise the local dynamics of friction contacts by observing changes of the ultrasound reflection/transmission at the friction interface. The experimental technique is applied to a dynamic friction rig, where two steel specimens are rubbed against each other under a harmonic tangential excitation. Initial results show that, with a controlled experimental test procedure, this technique can identify microslip effects at the contact interface.
Estimation of soil carbon pools in the forests of Khyber Pakhtunkhwa Province, Pakistan
Authors: Ali Anwar , Ashraf Muhammad Irfan , Gulzar Saeed , Akmal Muhammad , Ahmad Bilal 
Published: October 2019

Abstract
Forest soils have high carbon densities compared to other land-uses. Soil carbon sequestration is important to reduce CO2 concentrations in the atmosphere. An effective climate change mitigation strategy involves limiting the emissions of greenhouse gases from soils. Khyber Pakhtunkhwa is the most forested province of Pakistan, hosting about one-third of the country’s 4.5 × 106 ha forest area. Soil organic carbon in the province’s forests was estimated through a field-based study carried out during 2014–17 covering the whole province. Data was collected from 373 sample plots laid out in different forest types using a stratified cluster sampling technique. The total quantity of soil organic carbon was estimated at 59.4 × 106 t with an average of 52.4 ± 5.3 t/ha. About 69% of the total soil carbon is present in temperate forests. Subtropical broad-leaved and subtropical pine forests constitute 11.4% and 8.8% of the soil carbon stock respectively. Similarly, subalpine and oak forests have respective shares of 5.1% and 5.7% in the soil carbon pool. The lowest carbon stock (0.1%) was found in dry-tropical thorn forests. The highest soil carbon density was found in subalpine forests (69.5 ± 7.2 t/ha) followed by moist temperate forests (68.5 ± 6.7 t/ha) and dry temperate forests (60.7 ± 6.5 t/ha). Oak forests have carbon density of 43.4 ± 7.1 t/ha. Subtropical pine, subtropical broad-leaved and dry tropical thorn forests have soil carbon densities of 36.3 ± 3.7, 32.8 ± 6.2 and 31.5 ± 3.5 t/ha, respectively. The forests of the Khyber Pakhtunkhwa province have substantial amounts of soil carbon which must be conserved for climate change mitigation and maintenance of sound forest health.
Bench to bedside: The technology adoption pathway in healthcare
Authors: Clark Daniel , Dean Gerard , Bolton Sarah , Beeson Beth 
Published: October 2019

Abstract
New technologies have the potential to revolutionize the way we manage health and wellbeing now and in the future. But often seen as expensive and difficult to implement, the challenge is to identify the best technology to deliver real patient benefit and support its rapid adoption to help address the funding difficulties faced by all modern healthcare systems. In this paper we consider the traditional linear model of the technology adoption pathway as it pertains to healthcare, look at common challenges faced traversing this path and suggest solutions. In so doing, we recognise the limitations of the linear model and describe our version of a more realistic, non-linear model. Throughout, we will be looking at the key role of the Clinical Engineer to successful healthcare technology adoption based on our experience of supporting medical device products through to adoption and present the key lessons we learnt along the way.
Coronary artery stenosis-related perfusion ratio using dynamic computed tomography myocardial perfusion imaging: a pilot for identification of hemodynamically significant coronary artery disease
Authors: Kuwahara Natsumi , Tanabe Yuki , Kido Teruhito , Kurata Akira , Uetani Teruyoshi , Ochi Hitomi , Kawaguchi Naoto , Kido Tomoyuki , Ikeda Shuntaro , Yamaguchi Osamu , Asano Migiwa , Mochizuki Teruhito 
Published: October 2019

Abstract
The purpose of this study was to evaluate the feasibility of the stenosis-related quantitative perfusion ratio (QPR) for detecting hemodynamically significant coronary artery disease (CAD). Twenty-seven patients were retrospectively enrolled. All patients underwent dynamic myocardial computed tomography perfusion (CTP) and coronary computed tomography angiography (CTA) before invasive coronary angiography (ICA) measuring the fractional flow reserve (FFR). Coronary lesions with FFR ≤ 0.8 were defined as hemodynamically significant CAD. The myocardial blood flow (MBF) was calculated using dynamic CTP data, and CT-QPR was calculated as the CT-MBF relative to the reference CT-MBF. The stenosis-related CT-MBF and QPR were calculated using Voronoi diagram-based myocardial segmentation from coronary CTA data. The relationships between FFR and stenosis-related CT-MBF or QPR and the diagnostic performance of the stenosis-related CT-MBF and QPR were evaluated. Of 81 vessels, FFR was measured in 39 vessels, and 20 vessels (51%) in 15 patients were diagnosed as hemodynamically significant CAD. The stenosis-related CT-QPR showed better correlation (r = 0.70, p < 0.05) than CT-MBF (r = 0.56, p < 0.05). Sensitivity and specificity for detecting hemodynamically significant CAD were 95% and 58% for CT-MBF, and 95% and 90% for CT-QPR, respectively. The area under the receiver operating characteristic curve for the CT-QPR was significantly higher than that for the CT-MBF (0.94 vs. 0.79; p < 0.05). The stenosis-related CT-QPR derived from dynamic myocardial CTP and coronary CTA showed a better correlation with FFR and a higher diagnostic performance for detecting hemodynamically significant CAD than the stenosis-related CT-MBF.
Children’s Agency: Opportunities and Constraints
Authors: Sirkko Riikka , Kyrönlampi Taina , Puroila Anna-Maija 
Published: October 2019

Abstract
Children’s agency accords with the principles emphasised by the Convention on the Rights of the Child (United Nations in Convention on the rights of the child. UN Office of High Commissioner for Human Rights (OHCHR), Geneva. Retrieved from, https://www.ohchr.org/EN/ProfessionalInterest/Pages/CRC.aspx, 1989). This study focuses on children’s opportunities for agency in first grade of a Finnish primary school. The research explored how children’s agency was evident in photographs taken by 16 children on their school experiences and discussions with the researcher about the photographs. A phenomenological approach was used in the analyses to identify four themes in the data: the social order of school; teacher’s pedagogical tools; break times; and learning new skills. In the school context, the children’s agency seemed to require continuous balancing between the children’s freedom and adults’ power and authority. Pedagogically, the results imply that the adults who work with children can listen closely to children’s voices in order to strengthen opportunities in classrooms and to support children’s sense of personal agency. The study challenges teachers to consider how classroom practices may divide or categorise some children and how these practice may reduce children’s participation, contribution and agency.
Phenolic Constituents with Antioxidative, Tyrosinase Inhibitory and Anti-aging Activities from Dendrobium loddigesii Rolfe
Authors: Ma Rui-Jing , Yang Liu , Bai Xue , Li Jin-Yu , Yuan Ming-Yan , Wang Ya-Qin , Xie Yong , Hu Jiang-Miao , Zhou Jun 
Published: October 2019

Abstract
Aqueous ethanol extracts of powdered stems of Dendrobium loddigesii afforded three new phenolics including threo-7-O-ethyl-9-O-(4-hydroxyphenyl)propionyl-guaiacylglycerol (1), (R)-4,5,4ʹ-trihydroxy-3,3ʹ,α-trimethoxybibenzyl (2) and (S)-5,5′,7-trihydroxy-3′,4′-dimethoxyflavanone (3), together with eleven known analogues. Their structures were determined by extensive spectroscopic analysis. To identify natural antioxidants, whitening, and anti-aging agents, the abilities of these phenolics were assessed to scavenge the 1,2-diphenyl-2-picrylhydrazyl (DPPH) radical, their abilities to inhibit tyrosinase production, and their abilities to stimulate collagen production by human dermal fibroblasts-adult (HDFa) assay. It was found that compounds 1, 4–8, 13 and 14 exhibited significant DPPH radical scavenging activities, compound 10 exhibited tyrosinase inhibitory activity (IC50 37.904 μg/mL), and compound 9 showed significant collagen production with an EC50 value of 3.182 μg/mL. These results suggest that phenolic constituents from D. loddigesii may be candidate antioxidants, skin-whitening and/or anti-aging agents.

Graphic Abstract
A jump-diffusion model for pricing electricity under price-cap regulation
Authors: Kegnenlezom M. , Takam Soh P. , Mbele Bidima M. L. D. , Emvudu Wono Y. 
Published: October 2019

Abstract
In this paper, we derive a new jump-diffusion model for electricity spot price from the “Price-Cap” principle. Next, we show that the model has a non-classical mean-reverting linear drift. Moreover, using this model, we compute a new exact formula for the price of forward contract under an equivalent martingale measure and we compare it to Cartea et al. (Appl Math Finance 12(4):313–335, 2005) formula.
Mechanical properties of highly porous PEEK bionanocomposites incorporated with carbon and hydroxyapatite nanoparticles for scaffold applications
Authors: Uddin Md. Nizam , Dhanasekaran Puttagounder S. , Asmatulu Ramazan 
Published: October 2019

AbstractBone regeneration is of great importance worldwide, because of various bone diseases, such as infections, tumors, and resultant fracture, birth defects, and bone loss due to trauma, explosion, or accident. Bone regeneration can be achieved by several materials and templates manufactured through various fabrication techniques. Uses of different materials and scaffold fabrication techniques have been explored over the past 20 years. In this research, polyetheretherketone (PEEK) was used to fabricate highly porous bionanocomposite foams for bone scaffolding. Melt casting and salt porogen (200–500 µm size) leaching methods were adapted to create an adequate pore size and the necessary percent of porosity, because pore size plays a vital role in cell implantation and growth. Porosity (75% and 85%) of the prepared scaffolds was adjusted by changing salt concentrations in the PEEK powder. Hydroxyapatite (HA) and carbon particles were used to improve cell attachments and interactions with the porous PEEK and to increase the mechanical properties of the scaffold materials. Carbon fiber (CF) and carbon nanotubes (CNTs) were uniformly dispersed into the PEEK powder before melt casting to enhance the mechanical properties and to observe the influence of the carbon particles on the properties of PEEK bionanocomposite foam. Compression test results of the fabricated bionanocomposites showed that HA and carbon particles are the potential filler materials for the enhancement of bionanocomposite mechanical properties. About 186% enhancement of compression modulus and 43% enhancement of yield strength were observed while incorporating only 0.5 wt% of CNTs into PEEK/HA bionanocomposites having 75% porosity, compared to PEEK/HA 20 wt% bionanocomposites. Micro-computed tomography (micro-CT) test results reveal that pore size and interconnectivity of the nanocomposite foams are in order and within the designed sizes. Mechanical tests proved that PEEK bionanocomposite foam has the potential for use in bone scaffolding and other biomedical applications.
Towards a Paradigm Shift in Governing Data Access and Related Intellectual Property Rights in Big Data and Health-Related Research
Authors: Andanda Pamela 
Published: October 2019

Abstract
Big data is revolutionising the health care sector by making it easier to analyse large volumes of data. This enables health care providers to monitor individuals or systems in real time. However, the main concern with regard to big data in biomedicine is how to overcome the barriers to using such data for health-related research. The landscape of big data is still evolving and the law has not developed suitable principles for governing access to big data. This paper sketches the fuzzy contours of data ownership and related intellectual property rights to demonstrate that ownership is a concept that is ill-suited for governing rights in big data. The dawn of big data calls for an alternative normative framework. This framework must be capable of reconciling competing societal, individual and industries’ interests in the data with a view to ensuring fair access while minimising legal and ethical risks. Ultimately, the paper proposes a paradigm shift from ownership to custodianship in the governance of access and use of big data, particularly in international health-related research.
An application of Bayesian multilevel model to evaluate variations in stochastic and dynamic transition of traffic conditions
Authors: Kidando Emmanuel , Moses Ren , Sando Thobias , Ozguven Eren Erman 
Published: October 2019

Abstract
This study seeks to investigate the variations associated with lane lateral locations and days of the week in the stochastic and dynamic transition of traffic regimes (DTTR). In the proposed analysis, hierarchical regression models fitted using Bayesian frameworks were used to calibrate the transition probabilities that describe the DTTR. Datasets of two sites on a freeway facility located in Jacksonville, Florida, were selected for the analysis. The traffic speed thresholds to define traffic regimes were estimated using the Gaussian mixture model (GMM). The GMM revealed that two and three regimes were adequate mixture components for estimating the traffic speed distributions for Site 1 and 2 datasets, respectively. The results of hierarchical regression models show that there is considerable evidence that there are heterogeneity characteristics in the DTTR associated with lateral lane locations. In particular, the hierarchical regressions reveal that the breakdown process is more affected by the variations compared to other evaluated transition processes with the estimated intra-class correlation (ICC) of about 73%. The transition from congestion on-set/dissolution (COD) to the congested regime is estimated with the highest ICC of 49.4% in the three-regime model, and the lowest ICC of 1% was observed on the transition from the congested to COD regime. On the other hand, different days of the week are not found to contribute to the variations (the highest ICC was 1.44%) on the DTTR. These findings can be used in developing effective congestion countermeasures, particularly in the application of intelligent transportation systems, such as dynamic lane-management strategies.