bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disentangling the Causal Structure Between Social Trust, Institutional Trust, and Subjective Well-Being
Authors: Glatz Christoph , Schwerdtfeger Andreas 
Published: May 2022

AbstractPrevious research indicates a positive relation between social trust, institutional trust and subjective well-being. Besides theoretical assumptions and cross-sectional relations, only few studies so far examined the causal structure between these concepts. However, previous studies showed contradictory results, possibly due to different methods and datasets used. Hence, we analyzed the causal structure between the three concepts on the aggregate country-level using the European Social Survey, which offers a total of 217 observations from 30 countries, nested in nine time-points between 2002 and 2018. We targeted a causal effect by using a multilevel bivariate cross-lagged analysis. This way we analyzed if previous values of the respective explanatory variable predicts future values of the respective criterion variable. Using this method, we were able to (1) separate the relevant within-country from the between-countries effect, (2) control for different effects in different countries, (3) control for covariates as well as for autoregression of the respective criterion variable over time, and (4) control for residual correlation between the respective criterion variables. Our results suggest a causal effect from subjective well-being to social trust, but little evidence for a reverse causal pathway. Further, we found no effect from social trust and subjective well-being on institutional trust and only small but negative effects vice versa. The results suggest treating social and institutional trust not as preconditions of subjective well-being, but rather as independent facets for the quality of life of a society as already implemented by the OECD’s better-life index, amongst others.
Liberal, Republican, Conservative and Social-Democratic Mindsets? Exploring the existence of Citizenship Regimes in Civic Attitudes
Authors: Janmaat Jan Germen , Green Andy 
Published: May 2022

AbstractThis paper explores whether civic attitudes cluster in ways that correspond to distinct citizenship regimes. Drawing on political philosophy and citizenship literature, it identifies a liberal, a republican, a conservative, a social-democratic and a post-communist regime. These regimes are said to prevail in particular European regions and to show a certain level of stability. Using European Values Study / World Values Survey data, the paper explores whether socio-political attitudes ‘fit’ the theoretical regimes in terms of substance, country membership and durability and whether distinct European citizenship regimes can also be identified at the global level. It finds fairly strong evidence for a social-democratic, a liberal and a post-communist regime of civic attitudes at the European level, but could not find much support for a specific republican or conservative regime. The regimes identified at the European level disappear at the global level. At that level, a group of western countries appears, which distinguishes itself from other countries by showing relatively high scores on a range of citizenship indicators. Thus, it depends on the vantage point whether qualitatively different clusters of civic attitudes emerge that correspond to distinct European citizenship regimes.
BeeAE: effective aspect term extraction with artificial bee colony
Authors: Shi Jingli , Li Weihua , Bai Quan , Ito Takayuki 
Published: May 2022

AbstractAspect terms are opinion targets for people to express and understand opinions in reviews. Aspect terms extraction is an essential subtask in aspect-level sentiment analysis. To extract aspect terms from a sentence, existing methods mainly focus on context features generated by pre-trained models. However, these models either neglect the crucial implicit linguistic features, e.g., post-of-tag, head, and head dependency, or fail to explore sufficient valuable features for aspect term extraction, which lead to the deficiency in aspect term extraction task. To address the challenges, in this paper, we propose a novel and effective framework for aspect term extraction by integrating both contextual and linguistic features with the artificial bee colony-based feature selection method. Firstly, a novel variant of artificial bee colony is designed to identify the most valuable linguistic features to reduce the high sparsity and dimensionality of the raw dataset. Next, the selected features and context embeddings are integrated to improve the performance of aspect extraction. Finally, extensive experiments are conducted on real-world datasets, and the results exhibit that our proposed framework can outperform the competitive baselines. Compared with the latest baselines, the proposed framework achieves the comparatively higherF1 scores of 80.7%, 84.7%, 72.2%, and 74.8% on the four groups of datasets. Furthermore, the ablation study shows that the proposed method with the designed feature selection module significantly outperforms the method with the original artificial bee colony, having 4.15%, 4.4%, 4.4%, and 3.2% improvements inF1 score on all the four datasets, respectively.
Protective effect of phytogenic plus short and medium-chain fatty acids-based additives in enterotoxigenic Escherichia coli challenged piglets
Authors: Caprarulo Valentina , Turin Lauretta , Hejna Monika , Reggi Serena , Dell’Anno Matteo , Riccaboni Pietro , Trevisi Paolo , Luise Diana , Baldi Antonella , Rossi Luciana 
Published: May 2022

Abstract
Post Weaning Diarrhea (PWD) is the most important multifactorial gastroenteric disease of the weaning in pig livestock. Phytogenic (PHY) natural extracts are largely studied as alternatives to antibiotic treatments in combating the global concern of the antimicrobial resistance. The aim of this study was to evaluate the protective effect of innovative phytogenic premix with or without short and medium chain fatty acids (SCFA and MCFA) in O138 Escherichia coli challenged piglets. Twenty-seven weaned piglets were allotted into four groups fed different diets according to the following dietary treatments: CTRL (n = 13) group fed basal diet, PHY1 (n = 7) fed the basal diet supplemented with 0.2% of phytogenic premix, PHY2 (n = 7) fed the basal diet supplemented with 0.2% of phytogenic premix added with 2000 ppm of SCFA and MCFA. After 6 days of experimental diet feeding, animals were challenged (day 0) with 2 × 109 CFU of E. coli and CTRL group was divided at day 0 into positive (challenged CTRL + ; n = 6) and negative control group (unchallenged CTRL-; n = 7). Body weights were recorded at -14, -6, 0, 4 and 7 days and the feed intake was recorded daily. E. coli shedding was monitored for 4 days post-challenge by plate counting. Fecal consistency was registered daily by a four-point scale (0–3; diarrhea > 1) during the post-challenge period. Tissue samples were obtained for gene expression and histological evaluations at day 7 from four animals per group. Lower average feed intake was observed in CTRL + compared to PHY2 and CTRL during the post-challenge period. Infected groups showed higher E. coli shedding compared to CTRL- during the 4 days post-challenge (p < 0.01). PHY2 showed lower frequency of diarrhea compared to PHY1 and CTRL + from 5 to 7 days post-challenge. No significant alterations among groups were observed in histopathological evaluation. Duodenum expression of occludin tended to be lower in challenged groups compared to CTRL- at 7 days post-challenge (p = 0.066). In conclusion, dietary supplementation of PHY plus SCFA and MCFA revealed encouraging results for diarrhea prevention and growth performance in weaned piglets.
High efficient removal of lead(II) and cadmium(II) ions from multi-component aqueous solutions using polyacrylic acid acrylonitrile talc nanocomposite
Authors: Abass Mohamed Ragab , El-Kenany Wafaa Mohamed , EL-Masry Eman Hassan 
Published: May 2022

Abstract
This study is interested in the removal of Pb(II), Cd(II), Co(II), Zn(II), and Sr(II) onto polyacrylic acid acrylonitrile talc P(AA-AN)-talc nanocomposite. P(AA-AN)-talc was fabricated using γ-irradiation-initiated polymerization at 50 kGy. Different analytical tools were used to investigate the functional groups, morphology, particle size, and structure of this composite. The ability of P(AA-AN)-talc to capture (Pb2+, Cd2+, Co2+, Zn2+, and Sr2+) as multi-component aqueous solutions was performed by a batch method. Saturation capacity and the effect of (agitating time, pH, initial metal concentrations, and temperature) were investigated. The distribution coefficients at different pHs have order: Pb2+  > Cd2+  > Co2+  > Zn2+  > Sr2+. The saturation capacity decreases by increasing heating temperatures. Reaction kinetic obeys the pseudo-second-order model. Sorption isotherms are more relevant to a Langmuir isotherm, and the monolayer sorption capacity is closed to saturation capacity. Thermodynamic parameters (∆G˚, ∆H˚, and ∆S˚) were endothermic and spontaneous. P(AA-AN)-talc is used for loading and recovery of studied cations in the column system. The study confirms that P(AA-AN)-talc is a promised composite for the sorption of the studied ions from aqueous solutions and should be considered as potential material for decontaminating these ions.
Graphical abstract
Recent progress on optomagnetic coupling and optical manipulation based on cavity-optomagnonics
Authors: Wang Kai , Gao Yong-Pan , Jiao Rongzhen , Wang Chuan 
Published: May 2022

AbstractRecently, the photon—magnon coherent interaction based on the collective spins excitation in ferromagnetic materials has been achieved experimentally. Under the prospect, the magnons are proposed to store and process quantum information. Meanwhile, cavity-optomagnonics which describes the interaction between photons and magnons has been developing rapidly as an interesting topic of the cavity quantum electrodynamics. Here in this short review, we mainly introduce the recent theoretical and experimental progress in the field of optomagnetic coupling and optical manipulation based on cavity-optomagnonics. According to the frequency range of the electromagnetic field, cavity optomagnonics can be divided into microwave cavity optomagnonics and optical cavity optomagnonics, due to the different dynamics of the photon—magnon interaction. As the interaction between the electromagnetic field and the magnetic materials is enhanced in the cavity-optomagnonic system, it provides great significance to explore the nonlinear characteristics and quantum properties for different magnetic systems. More importantly, the electromagnetic response of optomagnonics covers the frequency range from gigahertz to terahertz which provides a broad frequency platform for the multi-mode controlling in quantum systems.
Informational efficiency and welfare
Authors: Bernardinelli Luca , Guasoni Paolo , Mayerhofer Eberhard 
Published: May 2022

AbstractIn a continuous-time market with a safe rate and a risky asset that pays a dividend stream depending on a latent state of the economy, several agents make consumption and investment decisions based on public information–prices and dividends–and private signals. If each investor has constant absolute risk aversion, equilibrium prices do not reveal all the private signals, but lead to the same estimate of the state of the economy that one would hypothetically obtain from the knowledge of all private signals. Accurate information leads to low volatility, ostensibly improving market efficiency, but also reduces each agent’s consumption through a decrease in the price of risk. Thus, informational efficiency is reached at the expense of agents’ welfare.
Brain Imaging Abnormalities in Mixed Alzheimer’s and Subcortical Vascular Dementia
Authors: Lee Hyunwoo , Wiggermann Vanessa , Rauscher Alexander , Kames Christian , Beg Mirza Faisal , Popuri Karteek , Tam Roger , Lam Kevin , Jacova Claudia , Shahinfard Elham , Sossi Vesna , Pettersen Jacqueline A. , Hsiung Ging-Yuek Robin 
Published: May 2022

ABSTRACT:Background:A large proportion of Alzheimer’s disease (AD) patients have coexisting subcortical vascular dementia (SVaD), a condition referred to as mixed dementia (MixD). Brain imaging features of MixD presumably include those of cerebrovascular disease and AD pathology, but are difficult to characterize due to their heterogeneity.Objective:To perform an exploratory analysis of conventional and non-conventional structural magnetic resonance imaging (MRI) abnormalities in MixD and to compare them to those observed in AD and SVaD.Methods:We conducted a cross-sectional, region-of-interest-based analysis of 1) hyperintense white-matter signal abnormalities (WMSA) on T2-FLAIR and hypointense WMSA on T1-weighted MRI; 2) diffusion tensor imaging; 3) quantitative susceptibility mapping; and 4) effective transverse relaxation rate (R2*) in N = 17 participants (AD:5, SVaD:5, MixD:7). General linear model was used to explore group differences in these brain imaging measures.Results:Model findings suggested imaging characteristics specific to our MixD group, including 1) higher burden of WMSAs on T1-weighted MRI (versus both AD and SVaD); 2) frontal lobar preponderance of WMSAs on both T2-FLAIR and T1-weighted MRI; 3) higher fractional anisotropy values within normal-appear white-matter tissues (versus SVaD, but not AD); and 4) lower R2* values within the T2-FLAIR WMSA areas (versus both AD and SVaD).Conclusion:These findings suggest a preliminary picture of the location and type of brain imaging characteristics associated with MixD. Future imaging studies may employ region-specific hypotheses to distinguish MixD more rigorously from AD or SVaD.
Adjudicating national contexts – Domestic particularity in the practices of the European Court of Human Rights?
Authors: Esmark Magnus , Olsen Henrik Palmer , Larsen Matthias Smed , Byrne William Hamilton 
Published: May 2022

AbstractThe established view in textbooks and legal commentary is that the Court’s case law should be viewed as a coherent whole. In this article, we ask whether European human rights law is as unified and European as is often presumed. Based on a citation network of all Chamber judgments from 1998–2018, we argue that the practice of the Court is to some extent split in different strands of case law, where the Court reuses particular factual and legal arguments against the same state without applying those as precedent against other states. We quantify this phenomenon and exemplify it qualitatively. Our data also suggests that the trend is declining. We explain this by the introduction of the Pilot Judgement procedure and an increasing bureaucratization of the Registry, aligning the citation practices of the Court’s five sections. The article situates itself within a broader debate about both legal pluralism and the principle of subsidiarity inherent to the European human rights system and proposals to bring the Court “closer” to the contracting states. We introduce a new and more diversified view on the Court’s practice, understanding it as perhaps less homogenous than has hitherto been thought.
How we can bring I-O psychology science and evidence-based practices to the public
Authors: Rogelberg Steven G. , King Eden B. , Alonso Alexander 
Published: May 2022

AbstractIt is our contention that industrial-organizational (I-O) science can do many great things for the world of work, but we must first get it out there more readily and fully into the hands of decision makers, policy makers, and the public. This focal article addresses the following topics: (a) Why isn’t I-O science reaching the public? (b) What are good mechanisms to bring I-O science to the public? (c) What are some keys to translation and public consumption? Specific public-facing activities discussed include writing a trade book, writing for trade magazines (e.g., Harvard Business Review [HBR]) and online blogs (e.g., Fortune), leveraging social media (e.g., LinkedIn), submitting op-eds, doing podcasts as a producer and/or guest, and joining a speakers bureau. We also discuss barriers to these activities such as time, reward structures, and skill deficits.
Gambling in Ireland: profile of treatment episodes from a national treatment reporting system
Authors: Condron Ita , Lyons Suzi , Carew Anne Marie 
Published: May 2022

AbstractObjectives:Globally, problem gambling prevalence is estimated at between 0.1% and 5.8%. Problem gambling can have many negative consequences; including on physical, and psychological health, and social functioning. There is a need to better understand treatment uptake as only a small proportion seek treatment. This is the first Irish national study using routinely gathered health surveillance data to describe treated problem gambling. Results will inform service policy and planning.Methods:An analysis of episodes treated for problem gambling collected by the National Drug Treatment Reporting System was undertaken. Included were episodes entering treatment between 2008 and 2019 (n = 2999). Variables of interest included service types accessed, demographics, socioeconomic information, referral and assessment details, current problems (up to five) and treatment history.Results:The majority (93.8%) were male. One fifth (20.9%) lived with dependent children, 7.4% were homeless. There were high levels of employment (35.4%) and formal education qualifications; half (53.8%) had completed second or third level education. Problem gambling frequently co-occurred with problem use of other substances (47.3%), which was most commonly alcohol (85.6%), followed by cannabis (32.3%), cocaine (28.0%) and benzodiazepines (10.9%). The majority were treated at inpatient settings (56.1%) with many self-referrals (46.3%).Conclusions:This study provides insights into treated problem gambling nationally. Monitoring and surveillance can play a crucial role in measuring the successful efforts and help inform planning and treatment. The findings may have implications for treatment pathways.
Designing Configurator for Take-Back for a Circular Economy – A Conceptual Framework
Authors: Mallick P. K. , Pigosso D. C. , Salling K. B. , McAloone T. C. 
Published: May 2022

AbstractClosing the material loop is fundamental to circular economy (CE). However, significant quantities of resources are currently landfilled. Today, companies realise the importance of take-back for CE but face several barriers in implementing it, lack of knowledge, being one such barrier. To address this, a proposal is presented for the design of a configurator to support companies evaluate different approaches, as well as opportunities and challenges for designing and implementing take-back. The paper presents a conceptual framework for the configurator, based on a systematic literature review.
Is Anybody Listening? A Citation Analysis of Healthcare Design Research Articles Published in Design Journals
Authors: Lamé G. , Huynh-Dagher S. , Komashie A. , Jankovic M. , Duong T.-A. 
Published: May 2022

AbstractCitation is a key metric in academia, and it can help to understand how ideas travel between disciplines. In this article, we report on a citation analysis of forty-four articles identified during a systematic literature review of healthcare design research published in six leading design journals. Using the Web of Science's categorisation of journals, we analyse which disciplines cite these forty-four articles. We find that these articles are much more cited in technology and engineering journals than in health sciences. We discuss these findings and the limitations of the study.
Serious Game Design Principles for Motor Evaluation of Patients with Neurological Diseases
Authors: Pystina X. , Gomes Lisboa de Souza A. , Thomann G. 
Published: May 2022

AbstractThe use of serious games is more and more popular in the medical filed, mainly for home-based rehabilitation therapy. In this context, some design principles were already proposed. Designing serious game for evolution diseases assessment is challenging and necessitates a new approach of this principles. Working with physiotherapists at the origin of the Motor Function Measurement assessment scale, the development of a dedicated serious game is proposed based on new contextual principles.
Knowledge-Based Assistance System for Part Preparation in Additive Repair by Laser Powder Bed Fusion
Authors: Ganter N. V. , Hoppe L. V. , Dünte J. , Gembarski P. C. , Lachmayer R. 
Published: May 2022

AbstractFor the economic use of repair in the spare parts business, additive repair by Laser Powder Bed Fusion (LPBF) is a promising technology. As material can only be applied to a flat surface in LPBF, prior machining is required. The selection of the section plane requires expert knowledge, though. To provide that knowledge and recommend a suitable section plane, an expert system can be used. In this paper, a concept for such an expert system is presented and its functionality is evaluated by an example.
Approach for Developing Digital Twins of Smart Products Based on Linked Lifecycle Information
Authors: Eickhoff T. , Forte S. , Göbel J. C. 
Published: May 2022

AbstractThe ongoing digitization of engineering processes and the increasing prevalence of smart products create possibilities for new business models and services. Digital twins enable the collection of all required data about a smart product in order to make these possibilities a reality. This paper describes a flexible approach towards a digital product twin that is tightly integrated with existing product models while being lightweight and easy to integrate with existing IT solutions.
Guidance on Application of Agile in Combined Hardware and Software Development Projects
Authors: Drutchas J. , Eppinger S. 
Published: May 2022

AbstractAgile has its roots in software, improving the pace and quality of development projects. The application of Agile to hardware is less mature, and anecdotal evidence suggests there are specific challenges in this space. Based upon qualitative interviews with organizations working simultaneously across hardware and software applications, this paper presents three key challenges we identified. We also document several useful adjustments to Agile practice which provide a toolset that teams can use to more successfully apply Agile to hardware projects.
Is It Human or Is It Artificial Intelligence? Discerning the Impact and Effectiveness of Process Managers Based on the Manager's Identity
Authors: Gyory J. T. , Kotovsky K. , Cagan J. 
Published: May 2022

AbstractThis work studies the perception of the impacts of AI and human process managers during a complex design task. Although performance and perceptions by teams that are AI- versus human-managed are similar, we show that how team members discern the identity of their process manager (human/AI), impacts their perceptions. They discern the interventions as significantly more helpful and manager sensitive to the needs of the team, if they believe to be managed by a human. Further results provide deeper insights into automating real-time process management and the efficacy of AI to fill that role.
Active-Learning Combined with Topology Optimization for Top-Down Design of Multi-Component Systems
Authors: Krischer L. , Vazhapilli Sureshbabu A. , Zimmermann M. 
Published: May 2022

AbstractIn top-down design, optimal component requirements are difficult to derive, as the feasible components that satisfy these requirements are yet to be designed and hence unknown. Meta models that provide feasibility and mass estimates for component performance are used for optimal requirement decomposition in an existing approach. This paper (1) extends its applicability adapting it to varying design domains, and (2) increases its efficiency by active-learning. Applying it to the design of a robot arm produces a result that is 1% heavier than the reference obtained by monolithic optimization.