bluuebunny/crossref_metadata_2025_split huggingface dataset:
Top-k overlapping densest subgraphs: approximation algorithms and computational complexity
Authors: Dondi Riccardo , Hosseinzadeh Mohammad Mehdi , Mauri Giancarlo , Zoppis Italo 
Published: November 2020

AbstractA central problem in graph mining is finding dense subgraphs, with several applications in different fields, a notable example being identifying communities. While a lot of effort has been put in the problem of finding a single dense subgraph, only recently the focus has been shifted to the problem of finding a set of densest subgraphs. An approach introduced to find possible overlapping subgraphs is the problem. Given an integer $$k \ge 1$$

k
≥
1

and a parameter $$\lambda > 0$$

λ
>
0

, the goal of this problem is to find a set of k dense subgraphs that may share some vertices. The objective function to be maximized takes into account the density of the subgraphs, the parameter $$\lambda $$
λ
and the distance between each pair of subgraphs in the solution. The problem has been shown to admit a $$\frac{1}{10}$$

1
10

-factor approximation algorithm. Furthermore, the computational complexity of the problem has been left open. In this paper, we present contributions concerning the approximability and the computational complexity of the problem. For the approximability, we present approximation algorithms that improve the approximation factor to $$\frac{1}{2}$$

1
2

, when k is smaller than the number of vertices in the graph, and to $$\frac{2}{3}$$

2
3

, when k is a constant. For the computational complexity, we show that the problem is NP-hard even when $$k=3$$

k
=
3

.
Sup-Sums Principles for F-Divergence and a New Definition for t-Entropy
Authors: Bakhtin V. I. , Lebedev A. V. 
Published: November 2020

AbstractThe article presents new$${\sup }$$sup-sums principles for integralF-divergence for arbitrary convex functionsFon the whole real axis and arbitrary (not necessarily positive and normalized) measures. Among applications of these results, we work out a new ‘integral’ definition fort-entropy explicitly establishing its relation to Kullback–Leibler divergence.
Social Support and Coping Strategies in Patients with Traumatic Brachial Plexus Injury
Authors: Sachar Ryan , Landau Andrew J. , Ray Wilson Z. , Brogan David M. , Dy Christopher J. 
Published: November 2020

Background Emotional and social characteristics may influence rehabilitation and recovery after traumatic brachial plexus injury. Purposes We sought to investigate if traumatic brachial plexus injury patients have different levels of social support and employ distinct coping strategies from uninjured control subjects. In addition, we studied which coping strategies are more commonly used among traumatic brachial plexus injury patients. Methods Questionnaires for social support (Interpersonal Support Evaluation List and Social Support Questionnaire) and coping strategies (Brief-Coping Orientation to Problems Experienced) were administered to traumatic brachial plexus injury patients and an age- and sex-matched volunteer cohort (without brachial plexus injury). Results There were no differences in interpersonal support (mean [SD] = 26.0 [8.6], 26.5 [6.8]), number of persons available for emotional support, and satisfaction with support between traumatic brachial plexus injury patients ( n = 36) and volunteers ( n = 43). The following coping strategies were more common among traumatic brachial plexus injury patients: active coping, self-distraction, denial, behavioral disengagement, venting, planning, self-blame, and acceptance. Conclusion Patients with traumatic brachial plexus injury have similar levels of social support as healthy volunteers but are more likely to use an array of coping strategies. Surgeons and other clinicians should be aware of coping strategies favored by patients, particularly the potential for behaviors detrimental to recovery such as behavioral disengagement, self-blame, and denial. This work will inform future investigations into the influence of social support and coping strategies on clinical outcomes after traumatic brachial plexus injury.
A strategic framework for artificial intelligence in marketing
Authors: Huang Ming-Hui , Rust Roland T. 
Published: November 2020

AbstractThe authors develop a three-stage framework for strategic marketing planning, incorporating multiple artificial intelligence (AI) benefits: mechanical AI for automating repetitive marketing functions and activities, thinking AI for processing data to arrive at decisions, and feeling AI for analyzing interactions and human emotions. This framework lays out the ways that AI can be used for marketing research, strategy (segmentation, targeting, and positioning, STP), and actions. At the marketing research stage, mechanical AI can be used for data collection, thinking AI for market analysis, and feeling AI for customer understanding. At the marketing strategy (STP) stage, mechanical AI can be used for segmentation (segment recognition), thinking AI for targeting (segment recommendation), and feeling AI for positioning (segment resonance). At the marketing action stage, mechanical AI can be used for standardization, thinking AI for personalization, and feeling AI for relationalization. We apply this framework to various areas of marketing, organized by marketing 4Ps/4Cs, to illustrate the strategic use of AI.
Radiation mitigating activities of Psidium guajava L. against whole-body X-ray-induced damages in albino Wistar rat model
Authors: Kumar Amith , Kumarchandra Reshma , Rai Rajalakshmi , Kumblekar Vasavi 
Published: November 2020

AbstractIn the present study, we investigated radiation mitigating activities ofPsidium guajavaL. (P. guajava) against whole-body X- ray induced damages in albino Wistar rat model. The animals were orally administered with 200 mg/kg bodyweight of hydroalcoholic leaf extract ofP. guajavafor five consecutive days and on the fifth day, after the last dose of extract administration, animals were exposed to 4 Gy of X-rays. Rats were sacrificed 24 h post X–ray irradiation. The radiomitigating activity of the herb extract was assessed by micronucleus assay, histopathology of the small intestine and hematological parameters. Hepatic cyclooxygenase–2 (COX-2), interleukin–6 (IL-6) and interleukin –10 (IL-10) levels were assayed to validate the anti-inflammatory property. Biochemical estimations were also performed in RBC lysates to corroborate antioxidant properties in the leaf extract. HPLC analysis of crude extract confirmed the presence of standard flavonoid quercetin. Our results indicated that radiation elevated COX-2, IL-6 and decreased IL-10 levels and also induced micronucleus formation in polychromatic erythrocytes, simultaneously impairing hematological parameters along with erythrocyte antioxidants. The animals pre-treated withP. guajavaexhibited a significant decrease in the COX-2 (P ≤ 0.01), IL-6 levels (P ≤ 0.05) and also displayed significant increase in the hepatic IL-10 levels (P ≤ 0.01). Pre-treatment with plant extract improved antioxidant enzyme activities, hematological parameters and reduced the intestinal damage by recovering the architecture of the small intestine. Moreover, extract also rendered protection against radiation induced DNA damage, as evidenced by the significant (P ≤ 0.01) decrease in the percentage of radiation-induced micronucleus in polychromatic erythrocytes. Furthermore, the herb extract treatment increased radiation LD50/30from 6.6 Gy to 9.0 Gy, offering a dose reduction factor (DRF) of 1.36. Our findings for the first time propose the beneficial use ofP. guajavaas a radioprotector against X-ray induced damage.
Small mammal assemblage in beaver-modified habitats
Authors: Sundell Janne , Liao Wenfei , Nummi Petri 
Published: November 2020

AbstractOne of the less studied positive interactions among organisms is facilitation. Facilitation may have significant impact on diversity of species especially in low productive environments. We studied the effects of well-known facilitator and ecosystem engineer, the North American beaver (Castor canadensis), on small mammal assemblages in the boreal zone. The small mammals, namely voles, mice, and shrews, were trapped over 2 years in ten beaver-modified habitats and in ten control sites. Contrary to our expectations, we did not observe any differences between species or individual numbers between beaver-modified and control sites. However, there were differences in species composition between sites; grass-eating field voles (Microtus agrestis) and invertebrate-eating shrews (Sorex araneus,Neomys fodiens) tended to be more common in beaver sites while forest-dwelling wood lemmings (Myopus schisticolor) and yellow-necked mice (Apodemus flavicollis) were only captured in control sites. The most common species in both habitats was the bank vole (Myodes glareolus), which is a generalist in its habitat requirements. The bank vole’s population structures were similar between the two habitat types. The actions of beavers in water bodies within boreal forests seem to have no effect on the small mammal diversity and their numbers at the regional scale but may have positive effect on them at the larger landscape level as beavers are increasing the overall habitat diversity in the landscape.
Moments in Pearson's Four-Step Uniform Random Walk Problem and Other Applications of Very Well-Poised Generalized Hypergeometric Series
Authors: McCrorie J. Roderick 
Published: November 2020

AbstractThis paper considers the representation of odd moments of the distribution of a four-step uniform random walk in even dimensions, which are based on both linear combinations of two constants representable as contiguous very well-poised generalized hypergeometric series and as even moments of the square of the complete elliptic integral of the first kind. Neither constants are currently available in closed form. New symmetries are found in the critical values of theL-series of two underlying cusp forms, providing a sense in which one of the constants has a formal counterpart. The significant roles this constant and its counterpart play in multidisciplinary contexts is described. The results unblock the problem of representing them in terms of lower-order generalized hypergeometric series, offering progress towards identifying their closed forms. The same approach facilitates a canonical characterization of the hypergeometry of the parbelos, adding to the characterizations outlined by Campbell, D'Aurozio and Sondow (2020,The American Mathematical Monthly127(1), 23-32). The paper also connects the econometric problem of characterizing the bias in the canonical autoregressive model under the unit root hypothesis to very well-poised generalized hypergeometric series. The confluence of ideas presented reflects a multidisciplinarity that accords with the approach and philosophy of Prasanta Chandra Mahalanobis.
Conformal Invariants in Simply Connected Domains
Authors: Nasser Mohamed M. S. , Vuorinen Matti 
Published: November 2020

AbstractThis paper studies the numerical computation of several conformal invariants of simply connected domains in the complex plane including, the hyperbolic distance, the reduced modulus, the harmonic measure, and the modulus of a quadrilateral. The used method is based on the boundary integral equation with the generalized Neumann kernel. Several numerical examples are presented. The performance and accuracy of the presented method is validated by considering several model problems with known analytic solutions.
Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0
Authors: Ayyildiz Ertugrul , Taskin Gumus Alev 
Published: November 2020

AbstractSupply chain operations reference (SCOR) is a combined benchmarking, business process reengineering, and best practices, and it also references a model that is intended to be an industry standard. SCOR model is one of the best models to describe supply chain activities in operations management for research and practice alike. There are radical changes in the structure of supply chains as well as developing technology in today’s information age. The purpose of this paper is to extend the SCOR model with new metrics related to Industry 4.0 and digitalization to understand and evaluate the performance of supply chains. New metrics added to the SCOR model and a novel SCOR 4.0 model is proposed. The novel performance evaluation model is structured as a three-level hierarchical structure to evaluate the supply chain. This problem is handled as a multi-criteria decision-making problem. This study uses the hybrid Best worst method and Pythagorean fuzzy AHP method to determine the weights of metrics. SCOR model is adapted to performance evaluation of the supply chain in the globalizing world. The most important metrics on the supply chain performances are determined and classified. Level 1 metrics are evaluated by Best worst method and their inner levels are evaluated by the Pythagorean fuzzy AHP method and the importance weights of each level 2 and level 3 metrics are obtained. A real application for the oil supply chain is presented to show the applicability of the proposed model. It is aimed to show the SCOR 4.0 model can be used by both public and private sectors to improve their supply chain strategies in globalizing world.
Investigation of Illumination Effects on the Electrical Properties of Au/GO/p-InP Heterojunction with a Graphene Oxide Interlayer
Authors: Lambada Dasaradha Rao , Yang Shuming , Wang Yiming , Ji Peirui , Shafique Shareen , Wang Fei 
Published: November 2020

AbstractIn this work, the electrical property of Au/graphene oxide/p-InP hetero-structure has been evaluated byI–VandC–Vmeasurements in dark and illuminated conditions (visible light). The diode exhibited significant rectifying behavior, thus indicating the heterojunction-type diode. The key electrical parameters of heterojunction diode including ideality factor (n), series resistance (Rs), shunt resistance (Rsh), and barrier height (Фb) are estimated fromI–Vdata based on the theory of thermionic emission. The modified Norde and Cheung’s methods were utilized to evaluate the electrical parameters and compared the results. The current conduction mechanism at different voltage regions ofI–Vhas also been investigated. The variation of 1/C2versus voltage signifies linearity at high frequency (1 MHz), indicating that the type of heterojunction can be abrupt. The experimental outcomes of this study revealed that the performance of heterojunction diode in dark is considerably good as compared to the illumination condition with respect to the lower values ofФb,n,Rs, and interface state density (Nss).
PREDICTIVE CLAIM SCORES FOR DYNAMIC MULTI-PRODUCT RISK CLASSIFICATION IN INSURANCE
Authors: Verschuren Robert Matthijs 
Published: November 2020

AbstractIt has become standard practice in the non-life insurance industry to employ generalized linear models (GLMs) for insurance pricing. However, these GLMs traditionally work only with a priori characteristics of policyholders, while nowadays we increasingly have a posteriori information of individual customers available across multiple product categories. In this paper, we therefore develop a framework to capture this a posteriori information over several product lines using a dynamic claim score. More specifically, we extend the bonus-malus-panel model of Boucher and Inoussa (2014) and Boucher and Pigeon (2018) to include claim scores from other product categories and to allow for nonlinear effects of these scores. The application of the proposed multi-product framework to a Dutch property and casualty insurance portfolio shows that customers’ individual claims experience can have a significant impact on the risk classification. Moreover, it indicates that considerably more profits can be gained by accounting for their multi-product claims experience.
The need for a community-led, holistic service response to Aboriginal young people with cognitive disability in remote areas: a case study
Authors: McCausland Ruth , Dowse Leanne 
Published: November 2020

AbstractThere are multiple structural and practical barriers to Aboriginal young people with cognitive disability in remote areas receiving the support and services they need. Multidisciplinary mixed-methods research over the past decade has provided evidence of the ways that many such young people end up with complex support needs and being ‘managed’ by police and justice agencies in the absence of appropriate early intervention, transition support and community-based options. This article presents and synthesises knowledge generated by this body of work and contextualises it within the experiences and trajectory of a young Aboriginal woman with cognitive disability and complex support needs from a remote town. This case study is drawn from a New South Wales linked administrative dataset containing data from health, housing, disability, human services, police, legal, court and justice agencies on a cohort of people who have been incarcerated. The article draws out key principles and strategies to suggest what a community-led, holistic service response could have looked like for Casey.
Potential damage threats to downstream optics caused by Gaussian mitigation pits on rear KDP surface
Authors: Yang Hao , Cheng Jian , Liu Zhichao , Liu Qi , Zhao Linjie , Tan Chao , Wang Jian , Chen Mingjun 
Published: November 2020

Abstract
To determine whether a potassium dihydrogen phosphate (KDP) surface mitigated by micro-milling would potentially threaten downstream optics, we calculated the light-field modulation based on angular spectrum diffraction theory, and performed a laser damage test on downstream fused silica. The results showed that the downstream light intensification caused by a Gaussian mitigation pit of 800 μm width and 10 μm depth reached a peak value near the KDP rear surface, decreased sharply afterward, and eventually kept stable with the increase in downstream distance. The solved peak value of light intensification exceeded 6 in a range 8–19 mm downstream from the KDP rear surface, which is the most dangerous for downstream optics. Laser damage sites were then induced on the fused silica surface in subsequent laser damage tests. When the distance downstream was greater than 44 mm with a downstream light intensification of less than 3, there were no potential damage threats to downstream optics. The study proves that a mitigated KDP surface can cause laser damage to downstream optical components, to which attention should be paid in an actual application. Through this work, we find that the current manufacturing process and the mitigation index still need to be improved. The research methods and calculation models are also of great reference significance for related studies like optics mitigation and laser damage.
Pyrus calleryana allometric equations and stand structure in southwestern Ohio and northern Kentucky
Authors: Boyce Richard L. , Ocasio Miciah 
Published: November 2020

AbstractCallery pear (Pyrus calleryana Decne.), a native of eastern Asia, has recently emerged as an important woody invader in much of the eastern United States. Little is known about its ecology in its new range. Its shade tolerance may be an important indicator of areas it is likely to invade. In this study, allometric equations were first developed to predict aboveground biomass components, including wood, branches, bark, leaves, and fruit, from diameter at stump height (dsh; 25 cm), by destructively harvesting 13 trees, ranging from 0.1 to 19.3 cm dsh. Then, a total of 23 wild-grown stands in the northern Kentucky/southwestern Ohio region were surveyed, with diameters of all woody stems sampled. Pyrus calleryana density, basal area, aboveground biomass, stand density index, size distribution inequality, and importance value were calculated for each site. Two-factor Weibull distributions were fit to diameter distributions. Allometric equations provided good fits for total aboveground biomass as well as individual components. Aboveground biomass levels fell below mean levels of native forest stands found in the United States. Stand density indices yielded values typical of shade-intolerant or midtolerant species. Stands with smaller trees generally had steeply declining monotonic diameter distributions, while stands with larger trees trended toward positively skewed monotonic distributions. These findings are consistent with a species that is either shade-intolerant or midtolerant. Thus, while this species is expected to invade open or disturbed areas, it is not expected to be an important invader under forest canopies. However, its extended deciduous habit is one shared by other understory woody invaders, and so this may allow it to survive under forest canopies.
The impact of tandem redundant/sky-based calibration in MWA Phase II data analysis
Authors: Zhang Zheng , Pober Jonathan C. , Li Wenyang , Hazelton Bryna J. , Morales Miguel F. , Trott Cathryn M. , Jordan Christopher H. , Joseph Ronniy C. , Beardsley Adam , Barry Nichole , Byrne Ruby , Tingay Steven J. , Chokshi Aman , Hasegawa Kenji , Jacobs Daniel C. , Lanman Adam , Line Jack L. B. , Lynch Christene , McKinley Benjamin , Mitchell Daniel A. , Murray Steven , Pindor Bart , Rahimi Mahsa , Takahashi Keitaro , Wayth Randall B. , Webster Rachel L. , Wilensky Michael , Yoshiura Shintaro , Zheng Qian 
Published: November 2020

AbstractPrecise instrumental calibration is of crucial importance to 21-cm cosmology experiments. The Murchison Widefield Array’s (MWA) Phase II compact configuration offers us opportunities for both redundant calibration and sky-based calibration algorithms; using the two in tandem is a potential approach to mitigate calibration errors caused by inaccurate sky models. The MWA Epoch of Reionization (EoR) experiment targets three patches of the sky (dubbed EoR0, EoR1, and EoR2) with deep observations. Previous work in Li et al. (2018) and (2019) studied the effect of tandem calibration on the EoR0 field and found that it yielded no significant improvement in the power spectrum (PS) over sky-based calibration alone. In this work, we apply similar techniques to the EoR1 field and find a distinct result: the improvements in the PS from tandem calibration are significant. To understand this result, we analyse both the calibration solutions themselves and the effects on the PS over three nights of EoR1 observations. We conclude that the presence of the bright radio galaxy Fornax A in EoR1 degrades the performance of sky-based calibration, which in turn enables redundant calibration to have a larger impact. These results suggest that redundant calibration can indeed mitigate some level of model incompleteness error.
Absolute -band magnitudes and mass-to-light ratios of Galactic globular clusters
Authors: Baumgardt H. , Sollima A. , Hilker M. 
Published: November 2020

AbstractWe have usedHubble Space Telescopeand ground-based photometry to determine totalV-band magnitudes and mass-to-light ratios of more than 150 Galactic globular clusters. We do this by summing up the magnitudes of their individual member stars, using colour-magnitude information,GaiaDR2 proper motions, and radial velocities to distinguish cluster stars from background stars. Our new magnitudes confirm literature estimates for bright clusters with$V<8$, but can deviate by up to two magnitudes from literature values for fainter clusters. They lead to absolute mass-to-light ratios that are confined to the narrow range$1.4<M/L_V<2.5$, significantly smaller than what was found before. We also find a correlation between a cluster’s$M/L_V$value and its age, in agreement with theoretical predictions. The$M/L_V$ratios of globular clusters are also in good agreement with those predicted by stellar isochrones, arguing against a significant amount of dark matter inside globular clusters. We finally find that, in agreement with what has been seen in M 31, the magnitude distribution of outer halo globular clusters has a tail towards faint clusters that is absent in the inner parts of the Milky Way.