bluuebunny/crossref_metadata_2025_split huggingface dataset:
Imaging patterns of cerebral ischemia in hypereosinophilic syndrome: case report and systematic review
Authors: Miethe Kathrin , Iordanishvili Elene , Habib Pardes , Panse Jens , Krämer Stefan , Wiesmann Martin , Schulz Jörg B. , Nikoubashman Omid , Reich Arno , Pinho João 
Published: May 2022

Abstract

Introduction

Ischemic stroke is a potential complication of hypereosinophilic syndromes (HES), and little is known about underlying pathophysiological mechanisms. We aimed to describe the imaging patterns of cerebral ischemia in patients with HES.

Methods
An individual case is reported. A systematic PubMed review of all records reporting adult patients with HES who suffered ischemic stroke and for whom neuroimaging details of ischemic lesions were available was performed.

Results
A 60-year-old man presented with progressive subacute gait difficulty and psychomotor slowing as well as an absolute eosinophilia (2.2 × 109/L) at admission. Brain magnetic resonance tomography revealed multiple acute and subacute internal and external border zone infarcts. Cardiac diagnostic suggested the presence of endomyocarditis. After extensive diagnostic workup, idiopathic HES was diagnosed. The systematic review yielded 183 studies, of which 40 fulfilled the inclusion criteria: a total of 64 patients (31.3% female), with mean age 51.1 years and a median absolute eosinophile count at diagnosis of 10.2 × 109/L were included in the analyses. A border zone pattern of cerebral ischemic lesions was reported in 41 patients (64.1%). Isolated peripheral infarcts were reported in 7 patients (10.9%). Sixteen patients had multiple acute infarcts with no border zone distribution (25.0%). An intracardiac thrombus was reported in 15/60 patients (25%), and findings suggestive of endomyocarditis or endomyocardial fibrosis were found in 31/60 patients (51.7%).

Conclusions
Border zone distribution of cerebral ischemia without hemodynamic compromise is the most frequent imaging pattern in patients with HES, occurring in 2/3 of patients who develop ischemic stroke.
Performance measurement with expectiles
Authors: Rossello Damiano 
Published: May 2022

AbstractFinancial performance evaluation is intimately linked to risk measurement methodologies. There exists a well-developed literature on axiomatic and operational characterization of measures of performance. Hinged on the duality between coherent risk measures and reward associated with investment strategies, we investigate representation of acceptability indices of performance using expectile-based risk measures that recently attracted a lot of attention inside the financial and actuarial community. We propose two purely expectile-based performance ratios other than the classical gain-loss ratio and the Omega ratio. We complement our analysis with elicitability of expectile-based acceptability indices and their conditional version accounting for new information flow.
Digital Innovation, Data Analytics, and Supply Chain Resiliency: A Bibliometric-based Systematic Literature Review
Authors: Iftikhar Anas , Ali Imran , Arslan Ahmad , Tarba Shlomo 
Published: May 2022

AbstractIn recent times, the literature has seen considerable growth in research at the intersection of digital innovation, data analytics, and supply chain resilience. While the number of studies on the topic has been burgeoning, due to the absence of a comprehensive literature review, it remains unclear what aspects of the subject have already been investigated and what are the avenues for impactful future research. Integrating bibliometric analysis with a systematic review approach, this paper offers the review of 262 articles at the nexus of innovative technologies, data analytics, and supply chain resiliency. The analysis uncovers the critical research clusters, the evolution of research over time, knowledge trajectories and methodological development in the area. Our thorough analysis enriches contemporary knowledge on the subject by consolidating the dispersed literature on the significance of innovative technologies, data analytics and supply chain resilience thereby recognizing major research clusters or domains and fruitful paths for future research. The review also helps improve practitioners’ awareness of the recent research on the topic by recapping key findings of a large amount of literature in one place.
Psychiatric symptoms and the association with parents’ psychiatric symptoms among recently arrived asylum-seeking children in Finland
Authors: Parviainen Heidi , Kiviruusu Olli , Lämsä Riikka , Skogberg Natalia , Castaneda Anu E , Santalahti Päivi 
Published: May 2022

AbstractThis study examined psychiatric symptoms and the association with parents’ psychiatric symptoms among recently arrived accompanied asylum-seeking children in the age groups of 2–6 years (n = 93) and 7–12 years (n = 91). Children and parents were assessed using mental health and trauma measures (SDQ, HSCL-25 and PROTECT). The prevalence of total difficulties was 34.9% among 2–6-year-olds and 29.6% among 7–12-year-olds. The most common symptoms in both age groups were peer problems, followed by conduct problems among 2–6-year-olds and emotional symptoms among 7–12-year-olds. In both age groups, the children’s emotional symptoms were associated with the parents’ anxiety and depression as well as the trauma symptoms, while the conduct problems were only associated with the parents’ trauma symptoms. In conclusion, peer problems as well as conduct problems and emotional symptoms are common among recently arrived asylum-seeking children. To support the mental health of these children, both children and parents need adequate support.
Do trust and renewable energy use enhance perceived climate change efficacy in Europe?
Authors: Dirksmeier Peter , Tuitjer Leonie 
Published: May 2022

AbstractIn the European Union, mitigation policies in the energy sector are one of the most important fields of political intervention for reducing emissions to achieve sustainability. Using renewable energy is moreover a central arena for perceived personal and political climate change efficacy, which describes an individual’s perceived ability to positively contribute to the fight against climate change and their belief in the effectiveness of government and society to tackle climate change collectively. In this paper, we distinguish between perceived personal and political efficacy beliefs. We use multilevel regression to investigate the relationship between these two dependent variables and trust in national governments as well as renewable energy use in 20 European countries for the first time. Our analysis first finds that socio-demographic predictors for perceived personal and political climate change efficacy operate almost diametrically. Second, we find that trust in governments is a much stronger predictor for perceived political efficacy. Third, we find that renewable energy use is a significant and positive predictor for perceived personal efficacy but correlates negatively with political efficacy. Finally, we find some cross-national variation in our European sample for both dimensions of efficacy beliefs. Understanding what shapes personal and political efficacy is salient to enhance public acceptance for sustainable energy transitions.
Altered within- and between-host transmission under coinfection underpin parasite co-occurrence patterns in the wild
Authors: Sallinen Suvi , Susi Hanna , Halliday Fletcher , Laine Anna-Liisa 
Published: May 2022

AbstractInteractions among parasite species coinfecting the same host individual can have far reaching consequences for parasite ecology and evolution. How these within-host interactions affect epidemics may depend on two non-exclusive mechanisms: parasite growth and reproduction within hosts, and parasite transmission between hosts. Yet, how these two mechanisms operate under coinfection, and how sensitive they are to the composition of the coinfecting parasite community, remains poorly understood. Here, we test the hypothesis that the relationship between within- and between-host transmission of the fungal pathogen, Phomopsis subordinaria, is affected by co-occurring parasites infecting the host plant, Plantago lanceolata. We conducted a field experiment manipulating the parasite community of transmission source plants, then tracked P. subordinaria within-host transmission, as well as between-host transmission to naïve recipient plants. We find that coinfection with the powdery mildew pathogen, Podosphaera plantaginis, causes increased between-host transmission of P. subordinaria by affecting the number of infected flower stalks in the source plants, resulting from altered auto-infection. In contrast, coinfection with viruses did not have an effect on either within- or between-host transmission. We then analyzed data on the occurrence of P. subordinaria in 2018 and the powdery mildew in a multi-year survey data set from natural host populations to test whether the positive association predicted by our experimental results is evident in field epidemiological data. Consistent with our experimental findings, we observed a positive association in the occurrence of P. subordinaria and historical powdery mildew persistence. Jointly, our experimental and epidemiological results suggest that within- and between-host transmission of P. subordinaria depends on the identity of coinfecting parasites, with potentially far-reaching effects on disease dynamics and parasite co-occurrence patterns in wild populations.
Why do women opt for gender-atypical fields of study? The increasing role of income motivation over time
Authors: Galos Diana Roxana , Strauss Susanne 
Published: May 2022

AbstractGender segregation in fields of study represents an important explanation for gender inequalities in the labor market, such as the gender wage gap. Research shows that horizontal gender segregation in higher education persists for a variety of reasons, including women’s greater communal goals and men’s greater motivation to earn high incomes. Yet with the male breadwinner model in decline, a key question is whether women’s motivation to earn high incomes might contribute to increasing women’s participation in female-atypical fields of study. Using data from the German Student Survey over a period of 30 years, our findings show that the proportion of women enrolled in female-atypical fields of study increased from 1984 to 2015. Moreover, women’s motivation to earn high incomes mediates the effect of time on enrollment in female-atypical fields of study. Their motivation to earn high incomes might thus be a factor contributing to the disruption of gender segregation in fields of study over time. Furthermore, contrary to expectations, the motivation to earn high incomes as a driving force for women to opt for gender-atypical fields of study is not stratified by social background.
Minimally Coupled Two-Element MIMO Antenna with Dual Band (28/38 GHz) for 5G Wireless Communications
Authors: Sabek Ayman R. , Ali Wael A. E. , Ibrahim Ahmed A. 
Published: May 2022

AbstractThis paper presents a dual-band 28/38 GHz two elements multiple-input multiple-output (MIMO) antenna with high isolation for 5G applications. The suggested antenna is a monopole with rectangular and triangle stubs added to the patch and a partial ground plane to achieve the dual band’s behavior. Two elements of the suggested antenna are combined and placed orthogonally to achieve the high isolation features of the MIMO configuration at 28/38 GHz. The MIMO configuration has a size of 27.65 $$\times$$
×
12 $$\times$$
×
0.273 mm3. The suggested MIMO prototype is fabricated and tested. The tested results achieved dual frequency bands with S11 lower than − 10 dB within two frequency bands (26–30 GHz and 36–41.5 GHz) and S21 lower than − 20 dB through the two operated bands. The suggested antenna has semi-omnidirectional radiation patterns in both planes. As well, its measured peak gain is 5.2 dBi and 5.3 dBi at the two operated frequency bands, respectively. Also, the MIMO parameters are extracted to validate the simulated results. The simulated and tested results have a good matching within the two operating bands which suggests the proposed structure be utilized in 5G communications.
A Difference-Equation-Based Robust Image Encryption Scheme with Chaotic Permutations and Logic Gates
Authors: Annaby M. H. , Ayad H. A. , Rushdi M. A. 
Published: May 2022

AbstractImage encryption has become an indispensable tool for achieving highly secure image-based communications. Numerous encryption approaches have appeared and demonstrated varying degrees of robustness to adversarial attacks. In this paper, an efficient and robust image encryption algorithm is established based on randomized difference equations, random permutations and randomized logic circuits. Specifically, hyperchaotic and chaotic systems are used to generate pseudo-random sequences. These sequences are thus used to define random first-order difference equations, chaotic permutations and logic circuits. Image encryption based on these three randomized modules shows high computational efficiency as well as strong robustness against statistical, differential, and chosen-plaintext attacks. The proposed scheme leads to almost zero correlation in the encrypted images, entropy values of more than 7.99 for the test images, and a key space size of $$2^{572}$$

2
572

. Furthermore, differential analysis shows that the number of pixel change rate (NPCR) and the unified average change intensity (UACI) for the proposed technique are on average 99.61 and 33.35%, respectively.
Semiclassical and thermal phase space entropies measuring complexity
Authors: Varga Imre 
Published: May 2022

AbstractMeasures of delocalization in phase space are analyzed using Rényi entropies, especially two of which play an important role in characterizing extension and shape of distributions: the linear entropy related to the participation number and the Shannon-entropy. The difference of these two, termed as structural entropy, has been successfully applied in a large variety of physical situations and for various mathematical problems. A very similar quantity has coincidentally been used as a measure of complexity by some other authors. Hereby we show that various semiclassical phase space representations of quantum states can be well described by the structural entropy providing a transparent picture in relation to the thermodynamic description. Thermodynamic and quantum fluctuations are analytically treated for the special case of harmonic oscillators invoking the Einstein model of heat capacity. It is demonstrated that the thermal uncertainty relations are linked to the delocalization over the phase space. For respective limits of zero temperature implying quantum behavior or infinite temperature implying classical behavior we also show which quantities remain useful. As a byproduct the thermal extension of the phase space distribution can be calculated that is directly related to a decoherence parameter introduced by Zurek in a different context.
Integrating Cognitive Behavioural and Islamic Principles in Psychology and Psychotherapy: A Narrative Review
Authors: Cucchi Angie 
Published: May 2022

AbstractStandardisation of knowledge has become a by-product of globalisation, and western-based models are often seen as the ultimate answer to expertise and development. In light of this, some professionals have debated the feasibility of employing cognitive behavioural therapy (CBT) with Muslim communities. Debates have focused on CBT’s secular roots and its compatibility with a world where Islam permeates most aspects of life. This article highlights some of the theoretical dilemmas of integration and suggests ways to bridge the existing gap between secular and Islamic literature and avoid alienating those individuals who might feel uncomfortable with secular CBT teachings.
The effect of motive-goal congruence on adolescents’ academic goal engagement and disengagement
Authors: Yau Priscilla S. , Cho Yongwon , Kay Joseph , Heckhausen Jutta 
Published: May 2022

AbstractAcademic achievement is an important developmental goal during adolescence. Two independent factors involved in academic motivation are implicit motives and explicit goals. In this study, we examined whether high school students’ (N = 213) implicit achievement motive, explicit achievement goals, and their interactions were associated with academic goal engagement and disengagement. Our findings showed that academic goal engagement and disengagement were associated with explicit achievement goals only, and not with the implicit achievement motive. However, interactions between the implicit achievement motive and grade aspiration (i.e., a specific explicit achievement goal) revealed that individuals with a low implicit achievement motive can still attain high goal engagement if they have a high grade aspiration. We also found that motive-goal congruence was associated with lower goal disengagement. Overall, these findings suggest that explicit achievement goals and specific academic goals play a dominant role in goal engagement behavior in the structured setting of high schools, and may allow youth to overcome the constraints of having a low implicit achievement motive.
Does gender matter for corporate entrepreneurship? A cross-countries study
Authors: Ruiz Linda Elizabeth , Amorós José Ernesto , Guerrero Maribel 
Published: May 2022

AbstractThe accumulated knowledge about corporate entrepreneurship has provided a better understanding of its antecedents and consequences. Corporate entrepreneurship activities are strongly related to incremental or disruptive innovation processes. However, academic debates demand a novel conceptual framework to understand the gendered workforce’s contribution to corporate entrepreneurship initiatives worldwide. This study hypothesizes that a gendered workforce has similar capabilities (skills, ability to detect opportunities, and networks) to engage in corporate entrepreneurship. Therefore, any gender differences could be explained by the influence of country-level conditions (gender equality levels, culture, and social norms). We tested these hypotheses with a sample of 50,550 employees from 50 countries. Our results support these hypotheses extending the corporate entrepreneurship literature and provoking an interesting discussion to academics, managers, employees, and policymakers.
Evolution of micro and small enterprises’ work safety behavior in high-risk industries
Authors: Li Wen , Zhou Tong , Mei Qiang , Liu Xiangyang , Imran Muhammad 
Published: May 2022

Abstract
Due to external regulations and limited resources, micro and small enterprises’ (MSEs) work safety behavior in China’s high-risk industries is passive behavior under constraints. Based on stakeholder theory, this paper describes the attributes and behavior rules of MSEs, the government safety supervision department and work safety service agencies using the agent-based simulation methods. We construct an evolution model to study this behavior. The software platform Netlogo is used for simulation exercises. Under the four factors of enterprise work safety resource strength, government supervision, government subsidies, and organization service level, the evolution of MSEs’ work safety behavior in high-risk industries is simulated and the results are discussed. It further reveals internal and external drivers of work safety of MSEs in high-risk industries, strengthens the scientific supervision and effective support of government safety supervision departments, and improves work safety service quality of service agencies multi-dimensionally.
A comparison of likelihood-free methods with and without summary statistics
Authors: Drovandi Christopher , Frazier David T. 
Published: May 2022

AbstractLikelihood-free methods are useful for parameter estimation of complex models with intractable likelihood functions for which it is easy to simulate data. Such models are prevalent in many disciplines including genetics, biology, ecology and cosmology. Likelihood-free methods avoid explicit likelihood evaluation by finding parameter values of the model that generate data close to the observed data. The general consensus has been that it is most efficient to compare datasets on the basis of a low dimensional informative summary statistic, incurring information loss in favour of reduced dimensionality. More recently, researchers have explored various approaches for efficiently comparing empirical distributions of the data in the likelihood-free context in an effort to avoid data summarisation. This article provides a review of these full data distance based approaches, and conducts the first comprehensive comparison of such methods, both qualitatively and empirically. We also conduct a substantive empirical comparison with summary statistic based likelihood-free methods. The discussion and results offer guidance to practitioners considering a likelihood-free approach. Whilst we find the best approach to be problem dependent, we also find that the full data distance based approaches are promising and warrant further development. We discuss some opportunities for future research in this space. Computer code to implement the methods discussed in this paper can be found athttps://github.com/cdrovandi/ABC-dist-compare.
Urban forest invertebrates: how they shape and respond to the urban environment
Authors: Kotze D. Johan , Lowe Elizabeth C. , MacIvor J. Scott , Ossola Alessandro , Norton Briony A. , Hochuli Dieter F. , Mata Luis , Moretti Marco , Gagné Sara A. , Handa I. Tanya , Jones Therésa M. , Threlfall Caragh G. , Hahs Amy K. 
Published: May 2022

AbstractInvertebrates comprise the most diversified animal group on Earth. Due to their long evolutionary history and small size, invertebrates occupy a remarkable range of ecological niches, and play an important role as “ecosystem engineers” by structuring networks of mutualistic and antagonistic ecological interactions in almost all terrestrial ecosystems. Urban forests provide critical ecosystem services to humans, and, as in other systems, invertebrates are central to structuring and maintaining the functioning of urban forests. Identifying the role of invertebrates in urban forests can help elucidate their importance to practitioners and the public, not only to preserve biodiversity in urban environments, but also to make the public aware of their functional importance in maintaining healthy greenspaces. In this review, we examine the multiple functional roles that invertebrates play in urban forests that contribute to ecosystem service provisioning, including pollination, predation, herbivory, seed and microorganism dispersal and organic matter decomposition, but also those that lead to disservices, primarily from a public health perspective, e.g., transmission of invertebrate-borne diseases. We then identify a number of ecological filters that structure urban forest invertebrate communities, such as changes in habitat structure, increased landscape imperviousness, microclimatic changes and pollution. We also discuss the complexity of ways that forest invertebrates respond to urbanisation, including acclimation, local extinction and evolution. Finally, we present management recommendations to support and conserve viable and diverse urban forest invertebrate populations into the future.