bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unintended policy integration through entrepreneurship at the implementation stage
Authors: Lambelet Sébastien 
Published: February 2023

AbstractMost scholars conceive policy integration (PI) as a top-down process steered by governmental bodies and consider the formulation stage to be the decisive step for achieving PI. Adopting a different stance, this article hypothesizes that PI can also occur throughout the implementation stage thanks to “integration entrepreneurs” who are able and willing to bring together policies that were designed in silos. I test this hypothesis by analyzing the evolution of federal legislation intended to curb urban sprawl in Switzerland over four decades (1980–2020) and investigate three major urban renewal projects that concretely reduced urban sprawl in the cities of Zurich, Bern and Geneva. In line with my hypothesis, these urban renewal projects succeeded thanks to an ex post integration of several policies that occurred during the implementation stage. This integrative process was an unintended outcome of the transformation of the Swiss Federal Railways (SBB) from a federal government institution into a state-owned company. Since then, the SBB has become an “integration entrepreneur” who brings together three federal policies that were previously poorly integrated: the spatial planning policy, the railway policy and the agglomeration policy. Case study evidence thus shows that PI can also happen unintentionally, namely through coordination mechanisms that were not foreseen by policymakers at the formulation stage. This finding challenges the top-down sequential approach of the policy process that is dominant among PI studies and calls for more research on the role and the strategies of “integration entrepreneurs” throughout the implementation stage.
Risk-adjusted geometric diversified portfolios
Authors: Torrente Maria-Laura , Uberti Pierpaolo 
Published: February 2023

AbstractIn this paper, exploiting a geometric argument, a novel and intuitive approach to portfolio diversification is proposed. The risk-adjusted geometric diversified portfolio is obtained as the point that is equally distant, for a given distance, from the vertices of the simplex, as they represent the single asset portfolios, the worst portfolios in terms of diversification. The definition of risk-adjusted distance as a special case of weighted Euclidean distance permits to introduce the information on the risks of the assets composing the portfolio in a very general way. The closed form solution for the allocation problem is provided and interesting theoretical properties are proved. Further, a direct comparison with Rao’s Quadratic Entropy maximization problem is outlined, thus yielding a different perspective to the use of such entropy as a diversification measure. Finally, the effectiveness of our proposal is emphasized through a comprehensive empirical out-of-sample exercise on real financial data.
Mapping PedsQL™ scores to CHU9D utility weights for children with chronic conditions in a multi-ethnic and deprived metropolitan population
Authors: Kelly Clare B. , Soley-Bori Marina , Lingam Raghu , Forman Julia , Cecil Lizzie , Newham James , Wolfe Ingrid , Fox-Rushby Julia 
Published: February 2023

Abstract
Purpose
The Child Health Utility-9 Dimensions (CHU9D) is a patient-reported outcome measure to generate Quality-Adjusted Life Years (QALYs), recommended for economic evaluations of interventions to inform funding decisions. When the CHU9D is not available, mapping algorithms offer an opportunity to convert other paediatric instruments, such as the Paediatric Quality of Life Inventory™ (PedsQL), onto the CHU9D scores.
This study aims to validate current PedsQL to CHU9D mappings in a sample of children and young people of a wide age range (0 to 16 years of age) and with chronic conditions. New algorithms with improved predictive accuracy are also developed.

Methods
Data from the Children and Young People’s Health Partnership (CYPHP) were used (N = 1735). Four regression models were estimated: ordinal least squared, generalized linear model, beta-binomial and censored least absolute deviations. Standard goodness of fit measures were used for validation and to assess new algorithms.

Results
While previous algorithms perform well, performance can be enhanced. OLS was the best estimation method for the final equations at the total, dimension and item PedsQL scores levels. The CYPHP mapping algorithms include age as an important predictor and more non-linear terms compared with previous work.

Conclusion
The new CYPHP mappings are particularly relevant for samples with children and young people with chronic conditions living in deprived and urban settings. Further validation in an external sample is required.
Trial registration number NCT03461848; pre-results.
Higher diet quality is associated with short and long-term benefits on SF-6D health state utilities: a 5-year cohort study in an international sample of people with multiple sclerosis
Authors: Kirkland Harry , Campbell Julie , Reece Jeanette , Nag Nupur , Probst Yasmine , Neate Sandra , De Livera Alysha , Jelinek George , Simpson-Yap Steve 
Published: February 2023

AbstractBackground/PurposeHealth state utilities (HSU) are a subjective measure of an individual's health-related quality of life (HRQoL), adjusted by societal or patient relative preference weights for living in different states of health-related quality of life (HRQoL), derived from patient-reported responses to multi-attribute utility instrument (MAUI), and can be used as inputs for cost-utility analyses and in clinical assessment. This research assessed associations of diet with subsequent HSU in a large international cohort of people living with multiple sclerosis (MS), a progressive autoimmune condition of the central nervous system.MethodsHSUs were generated from responses to Short-Form Six-Dimension (SF-6D) MAUI, and quality-of-the-diet by Diet Habits Questionnaire (DHQ). Cross-sectional, and short- and long-term prospective associations of DHQ with HSU evaluated by linear regression at 2.5- and 5-years. Pooled prospective associations between DHQ and HSU evaluated using linear and quantile regression. Analyses adjusted for relevant demographic and clinical covariates.ResultsAmong 839 participants, baseline DHQ scores showed short- and long-term associations with subsequent HSU, each 10-unit increase in total DHQ score associated with 0.008–0.012 higher HSU (out of 1.00). These associations were dose-dependent, those in the top two quartiles of baseline DHQ scores having 0.01–0.03 higher HSU at follow-up, 0.03 being the threshold for a minimally clinically important difference. Fat, fiber, and fruit/vegetable DHQ subscores were most strongly and consistently associated with better HSU outcomes. However, baseline meat and dairy consumption were associated with 0.01–0.02 lower HSU at subsequent follow-up.ConclusionsA higher quality-of-the-diet showed robust prospective relationships with higher HSUs 2.5- and 5-years later, substantiating previous cross-sectional relationships in this cohort. Subject to replication, these results suggest interventions to improve the quality-of-the-diet may be effective to improve HRQoL in people living with MS.
Reverse adoption of information and communication technology among organisers of academic conferences
Authors: Falk Martin Thomas , Hagsten Eva 
Published: February 2023

AbstractThis study examines the formats offered for academic conferences in the mature stages of the COVID-19 pandemic. Two out of three organisers discontinue their usage of online video tools and focus on in-person conferences. Only one out of five conferences offers hybrid solutions and even fewer a virtual alternative (13%). Data for the analysis originate from 547 calls for proposals announced in Spring 2022 for conferences to be held during the period August 2022 to July 2023. Estimates using a multinomial logit model show that the planning time is significantly related to the choice of format offered. The longer the lead time, the more likely it is to offer an in-person conference. International travel restrictions and bans on gatherings for the location of the venue at the time of planning are significantly related to the choice of virtual, but not hybrid formats. There are also large differences in the choice across disciplines, with conferences in arts and humanities as well as natural sciences showing the lowest preference for the virtual format.
Gender bias in special issues: evidence from a bibliometric analysis
Authors: Formanowicz Magdalena , Witkowska Marta , Hryniszak Weronika , Jakubik Zuzanna , Cisłak Aleksandra 
Published: February 2023

AbstractEven though the majority of psychologists are women, they are outnumbered by men in senior academic ranks. One reason for this representation bias in academia is that men favor other men in decision-making, especially when the stakes are high. We tested the possibility of such bias in a bibliometric analysis, in which we coded editors' and authors' gender in regular and special issues, the latter considered of higher scientific prominence. We examined all special issues from five prominent scientific outlets in the fields of personality and social psychology published in the twenty-first century. Altogether, we analyzed 1911 articles nested in 93 sets comprising a special issue and a neighboring regular issue treated as a control condition. For articles published in special (but not regular) issues, when there were more men editors, more men first-authored and co-authored the work. This pattern suggests how gender bias can be perpetuated within academia and calls for revising the editorial policies of leading psychology journals.
Statistical depth in abstract metric spaces
Authors: Geenens Gery , Nieto-Reyes Alicia , Francisci Giacomo 
Published: February 2023

AbstractThe concept of depth has proved very important for multivariate and functional data analysis, as it essentially acts as a surrogate for the notion of ranking of observations which is absent in more than one dimension. Motivated by the rapid development of technology, in particular the advent of ‘Big Data’, we extend here that concept to general metric spaces, propose a natural depth measure and explore its properties as a statistical depth function. Working in a general metric space allows the depth to be tailored to the data at hand and to the ultimate goal of the analysis, a very desirable property given the polymorphic nature of modern data sets. This flexibility is thoroughly illustrated by several real data analyses.
Embedding and customizing templates in cross-disciplinary modeling
Authors: Houkes Wybo 
Published: February 2023

AbstractIn this paper, I develop a template-based analysis to include several elements of processes through which templates are transferred between fields of inquiry. The analysis builds on Justin Price’s identification of the importance of a “landing zone” in the recipient domain, from which “conceptual pressure” may be created. I will argue that conceptual pressure is a characteristic feature of the process of template transfer; that this means that there are costs to the process of transfer as well as benefits; and that it would be reasonable if modelers try to mitigate these costs. I will discuss two such mitigation strategies: ‘conceptual embedding’ and ‘customization’. I illustrate the claims, focusing on the mitigation strategies, with a case study: that of pioneering applications of reaction–diffusion equations in mathematical ecology.
Molecular detection of Babesia microti in dromedary camels in Egypt
Authors: Ashour Radwa , Hamza Dalia , Kadry Mona , Sabry Maha A. 
Published: February 2023

AbstractBabesiamicroti (Apicomplexa: Piroplasmida) causes a medically important tick-borne zoonotic protozoan disease. Egyptian camels are susceptible to Babesia infection; however, just a few cases have been documented. This study aimed to identify Babesia species, specifically Babesia microti, and their genetic diversity in dromedary camels in Egypt and associated hard ticks. Blood and hard tick samples were taken from 133 infested dromedary camels slaughtered in Cairo and Giza abattoirs. The study was conducted from February to November 2021. The 18S rRNA gene was amplified by polymerase chain reaction (PCR) to identify Babesia species. Nested PCR targeting the β-tubulin gene was used to identify B. microti. The PCR results were confirmed by DNA sequencing. Phylogenetic analysis based on the ß-tubulin gene was used to detect and genotype B. microti. Three tick genera were identified in infested camels (Hyalomma, Rhipicephalus, and Amblyomma). Babesia species were detected in 3 out of 133 blood samples (2.3%), while Babesia spp. were not detected in hard ticks by using the 18S rRNA gene. B. microti was identified in 9 out of 133 blood samples (6.8%) and isolated from Rhipicephalus annulatus and Amblyomma cohaerens by the β-tubulin gene. The phylogenetic analysis of the β-tubulin gene revealed that USA-type B. microti was prevalent in Egyptian camels. The results of this study suggested that the Egyptian camels may be infected with Babesia spp. and the zoonotic B. microti strains, which pose a potential risk to public health.
Tree insect pests and pathogens: a global systematic review of their impacts in urban areas
Authors: Raum Susanne , Collins C. Matilda , Urquhart Julie , Potter Clive , Pauleit Stephan , Egerer Monika 
Published: February 2023

AbstractTrees contribute greatly to urban environments and human well-being, yet relatively little is known about the extent to which a rising incidence of tree insect pests and pathogens may be affecting these contributions. To address this issue, we undertook a systematic review and synthesis of the diverse global empirical evidence on the impacts of urban tree insect pests and pathogens, using bibliographic databases. Following screening and appraisal of over 3000 articles from a wide range of fields, 100 studies from 28 countries, spanning 1979–2021, were conceptually sorted into a three-part framework: (1) environmental impacts, representing 95 of the studies, including those reporting on tree damage, mortality, reduced growth, and changes in tree function; (2) social impacts were reported by 35 of studies, including on aesthetics, human health, and safety hazards; and (3) economic impacts, reported in 24 of studies, including on costs of pest management, and economic losses. There has been a considerable increase in urban impact studies since 2011. Evidence gaps exist on impacts on climate-regulating capacity, including temperature regulation, water retention, soil erosion, and wind protection, but also on specific hazards, nuisances, human well-being, property damages, and hazard liabilities. As a knowledge synthesis, this article presents the best available evidence of urban tree insect / pathogen impacts to guide policy, management and further research. It will enable us to better forecast how growing threats will affect the urban forest and plan for these eventualities.
Deep Multimodal Habit Tracking System: A User-adaptive Approach for Low-power Embedded Systems
Authors: Deniz Daniel , Jimenez-Perera Gabriel , Nolasco Ricardo , Corral Javier , Barranco Francisco 
Published: February 2023

AbstractThe pace of population ageing is increasing and is currently becoming one of the challenges our society faces. The introduction of Cyber-Physical Systems (CPS) has fostered the development of e-Health solutions that ease the associated economic and social burden. In this work, a CPS-based solution is presented to partially tackle the problem: a Deep Multimodal Habit Tracking system. The aim is to monitor daily life activities to alert in case of life-threatening situations improving their autonomy and supporting healthy lifestyles while living alone at home. Our approach combines video and heart rate cues to accurately identify indoor actions, running the processing locally in embedded edge nodes. Local processing provides inherent protection of data privacy since no image or vital signs are transmitted to the network, and reduces data bandwidth usage. Our solution achieves an accuracy of more than 80% in average, reaching up to a 95% for specific subjects after adapting the system. Adding heart-rate information improves F1-score by 2.4%. Additionally, the precision and recall for critical actions such as falls reaches up to 93.75%. Critical action detection is crucial due to their dramatic consequences, it helps to reduce false alarms, leading to building trust in the system and reducing economic cost. Also, the model is optimized and integrated in a Nvidia Jetson Nano embedded device, reaching real-time performance below 3.75 Watts. Finally, a dataset specifically designed for indoor action recognition using synchronized video and heart rate pulses has been collected.
Responses of signal crayfish Pacifastacus leniusculus to single short-term pulse exposure of pesticides at environmentally relevant concentrations
Authors: Malinovska Viktoriia , Kuklina Iryna , Lozek Filip , Velisek Josef , Kozak Pavel 
Published: February 2023

AbstractAlthough pesticides are often discharged into surface waters in pulses as opposed to a sustained release, the effect of episodic pollution events on freshwater crayfish is largely unknown. We monitored change in heart rate and distance moved to assess the response of signal crayfish Pacifastacus leniusculus to short-term exposure to environmentally relevant concentrations of metazachlor (MTZ), terbuthylazine (TER), and thiacloprid (TCL). Crayfish exposed to 20 µg/L of MTZ exhibited a significant increase in mean heart rate and distance moved. Increased heart rate was detected at 118 ± 74 s post-exposure to MTZ. There were no significant differences in mean heart rate and distance moved in crayfish exposed to 6 µg/L of TCL and 4 µg/L of TER. A significant correlation between heart rate and distance moved was found in all exposed groups. These results suggest that pulse exposure to MTZ impact crayfish physiology and behavior during short-term period. With pulse exposure to TCL and TER, crayfish not exhibiting a locomotor response may continue to be exposed to lower, but potentially harmful, levels of pollutants. Evidence of the impacts of pesticide pulse at environmentally relevant concentrations on crayfish is scarce. Further study is required to determine the ecological effects of such events on freshwater crayfish.
Relationship-building in the post-acceleration phase of corporate accelerators: empirical evidence from Germany
Authors: Kramer Alexander , Kanbach Dominik K. 
Published: February 2023

AbstractCorporate accelerators have become a relevant intermediary that connects startups and corporations. Their strategic goal is to establish close relationships between startups and corporations that add value for both parties in the long term. While in principle startups go through an acceleration phase successfully, they may struggle to build meaningful relationships with the accelerator’s corporate parent thereafter. In research, the post-acceleration phase and its challenges for corporations and startups has not been adequately addressed to date. Therefore, the goal of this article is to shed light on how corporations and startups collaborate after startups leave an accelerator programme, and which factors hinder successful relationship-building. Grounding on 21 corporate accelerator cases containing data from 99 semi-structured interviews with corporate accelerator managers and startup alumni of accelerator programmes, we present different forms of post-programme collaboration and outline obstacles of post-programme relationship-building. Our results emphasise a key role of business units in successful relationship-building and indicate legitimacy problems of accelerators within its corporate organisation. We also provide guidance for corporations, accelerators, and startups on how to increase the success of post-programme collaboration by demonstrating manifold challenges of post-programme collaboration and showing ways how to overcome them.
A ROS-based distributed multi-robot localization and orientation strategy for heterogeneous robots
Authors: Alajami Abdussalam A. , Palau Nil , Lopez-Soriano Sergio , Pous Rafael 
Published: February 2023

AbstractThe problem of estimating and tracking the location and orientation of a mobile robot by another in heterogeneous distributed multi-robots is studied in this paper. We propose a distributed multi-robot localization strategy (DMLS) that is Robotic Operating System (ROS) based. It consists of an algorithm that fuses data of diverse sensors from 2 heterogeneous robots that are not connected within their transform trees to localize and measure the relative position and orientation.The method exploits the robust detection of the Convolutional Neural Networks (CNN) and the accurate relative position measurements from the local costmap. The algorithm is composed of two parts: The localization part and the relative orientation measurement part. Localization is done by optimization and alignment calibration of the CNN output with the costmap in an individual robot. The relative orientation measurement is done by a collaborative multi-robot fusing of diverse sensor data to align and synchronize the transform frames of both robots in their costmaps. To illustrate the performance of this strategy, the proposed method is compared with a conventional object localization and orientation measuring method that uses computer vision and QR codes. The results show that this proposed method is robust and accurate while maintaining a degree of simplicity and efficiency in costs. The paper also presents various application experiments in laboratory and simulation environments. By using the proposed method, distributed multi-robots collaborate to achieve collective intelligence from individuals, which increases team performance.
Tea Polyphenols Reduce Inflammation of Orbital Fibroblasts in Graves’ Ophthalmopathy via the NF-κB/NLRP3 Pathway
Authors: Liu Wei , Ma Chao , Li Hao-yu , Yuan Shan-si , Li Kai-jun 
Published: February 2023

Abstract
Objective
This study aimed to explore the effects of tea polyphenols (TP) on inflammation of orbital fibroblasts in Graves’ ophthalmopathy (GO) and to provide new ideas for GO treatment.

Methods
Primary orbital fibroblasts were extracted from orbital adipose/connective tissues of patients with and without GO. Real-time quantitative PCR (RT-qPCR) was used to detect the expression of interleukin (IL)-6, IL-1β, and monocyte chemotactic protein (MCP)-1 in non-GO and GO orbital fibroblasts. The CCK-8 assay was used to determine the appropriate concentration of TP for subsequent experiments. RT-qPCR and enzyme-linked immunosorbent assay (ELISA) were performed to investigate the effects of TP on lipopolysaccharide (LPS)-induced production of inflammatory cytokines. Nuclear factor-κB (NF-κB) expression was measured using Western blotting analysis. NOD-like receptor 3 (NLRP3) expression was detected using both Western blotting analysis and immunofluorescence staining.

Results
The mRNA levels of IL-6, IL-1β, and MCP-1 in GO orbital fibroblasts were significantly higher than those in non-GO cells. TP treatment significantly inhibited LPS-induced production of inflammatory factors, including IL-6, IL-1β, and MCP-1. TP also inhibited the expression levels of NF-κB and NLRP3. Inflammation in the GO orbital fibroblasts was higher than that in non-GO cells. TP inhibited the production of inflammatory cytokines in GO orbital fibroblasts in vitro through the NF-κB/NLRP3 pathway.

Conclusion
These findings suggest that TP may have a potential role in GO treatment.