bluuebunny/crossref_metadata_2025_split huggingface dataset:
Retinal tissue develops an inflammatory reaction to tobacco smoke and electronic cigarette vapor in mice
Authors: Wang Feng , Hadzic Stefan , Roxlau Elsa T. , Fuehler Baerbel , Janise-Libawski Annabella , Wimmer Tobias , Lei Bo , Li Shao-Wei , Weissmann Norbert , Stieger Knut 
Published: July 2021

Abstract
Cigarette smoke has been identified as a major risk factor for the development of age-related macular degeneration (AMD). As an alternative to conventional cigarettes (C-cigarette), electronic cigarettes (E-cigarette) have been globally promoted and are currently widely used. The increasing usage of E-cigarettes raises concerns with regard to short- (2 weeks), medium- (3 months), and long- (8 months) term consequences related to retinal tissue. In this report, a controlled study in mouse models was conducted to probe the comprehensive effects of E-cigarette vapor on retina, retinal pigmented epithelium (RPE), and choroidal tissues by (1) comparing the effects of C-cigarette smoke and E-cigarette vapor on retina separately and (2) determining the effects of E-cigarette vapor on the RPE and analyzing the changes with regard to inflammatory (IL-1β, TNFα, iNOS) and angiogenic (VEGF, PEDF) mediators in retina/RPE/choroid by ELISA assays. The data showed that C-cigarette smoke exposure promoted an inflammatory reaction in the retina in vivo. Mice exposed to E-cigarette (nicotine-free) vapor developed inflammatory and angiogenic reactions more pronounced in RPE and choroid as compared to retinal tissue, while nicotine-containing E-cigarette vapor caused even a more serious reaction. Both inflammatory and pro-angiogenic reactions increased with the extension of exposure time. These results demonstrate that exposure to C-cigarette smoke is harmful to the retina. Likewise, the exposure to E-cigarette vapor (with or without nicotine) increases the occurrence and progression of inflammatory and angiogenic stimuli in the retina, which might also be related to the onset of wet AMD in humans.

Key messages

C-cigarette smoke exposure promotes an inflammatory reaction in the retina in vivo.

Mice exposed to E-cigarette (nicotine-free) vapor develop inflammatory and angiogenic reactions more pronounced in RPE and choroid compared to retinal tissue, while nicotine-containing E-cigarette vapor causes even a more serious reaction.

Both inflammatory and pro-angiogenic reactions increase with the extension of E-cigarette vapor exposure time.
Differences in P-glycoprotein activity in human and rodent blood–brain barrier assessed by mechanistic modelling
Authors: Verscheijden Laurens F. M. , Koenderink Jan B. , de Wildt Saskia N. , Russel Frans G. M. 
Published: July 2021

AbstractVariation in the efficacy and safety of central nervous system drugs between humans and rodents can be explained by physiological differences between species. An important factor could be P-glycoprotein (Pgp) activity in the blood–brain barrier (BBB), as BBB expression of this drug efflux transporter is reportedly lower in humans compared to mouse and rat and subject to an age-dependent increase. This might complicate animal to human extrapolation of brain drug disposition and toxicity, especially in children. In this study, the potential species-specific effect of BBB Pgp activity on brain drug exposure was investigated. An age-dependent brain PBPK model was used to predict cerebrospinal fluid and brain mass concentrations of Pgp substrate drugs. For digoxin, verapamil and quinidine, in vitro kinetic data on their transport by Pgp were derived from literature and used to scale to in vivo parameters. In addition, age-specific digoxin transport was simulated for children with a postnatal age between 25 and 81 days. BBB Pgp activity in the model was optimized using measured CSF data for the Pgp substrates ivermectin, indinavir, vincristine, docetaxel, paclitaxel, olanzapine and citalopram, as no useful in vitro data were available. Inclusion of Pgp activity in the model resulted in optimized predictions of their brain concentration. Total brain-to-plasma AUC values (Kp,brain) in the simulations without Pgp were divided by the Kp,brain values with Pgp. Kp ratios ranged from 1 to 45 for the substrates investigated. Comparison of human with rodent Kp,brain ratios indicated ≥ twofold lower values in human for digoxin, verapamil, indinavir, paclitaxel and citalopram and ≥ twofold higher values for vincristine. In conclusion, BBB Pgp activity appears species-specific. An age-dependent PBPK model-based approach could be useful to extrapolate animal data to human adult and paediatric predictions by taking into account species-specific and developmental BBB Pgp expression.
Beantwortung epidemiologisch-rheumatologischer Fragestellungen durch Kooperation mit der bevölkerungsbasierten SHIP-Kohorte – Erkenntnisse für die Diagnostik der axialen Spondyloarthritis (axSpA)
Authors: Braun J. , Richter A. , Schmidt C. , Baraliakos X. 
Published: July 2021

ZusammenfassungIn diesem Artikel wird dargestellt, wie sich Fragestellungen hinsichtlich der rheumatischen Erkrankung axiale Spondyloarthritis (axSpA) in Zusammenhang mit der Verfügbarkeit neuer bildgebender Verfahren und neuer Medikamente über mehr als zwei Jahrzehnte in einer rheumatologischen Forschungsgruppe entwickelt haben. Insbesondere in den letzten Jahren ergaben sich durch die Kooperation mit der SHIP („Study of Health in Pomerania“)-Kohorte neue grundlegende Aspekte. Dabei bestand eine intensive Kooperation zwischen der Ruhr-Universität Bochum (Rheumazentrum Ruhrgebiet) und der Universitätsmedizin Greifswald (Forschungsverbund „Community Medicine“). Das Design der SHIP-Kohorte ist schon vor 10 Jahren veröffentlicht worden und der Kohortenansatz wurde im Bundesgesundheitsblatt dargestellt, wobei zentrale methodische Fragen ausführlich erörtert wurden. Im Jahr 2014 wurde ein Kooperationsprojekt des Rheumazentrums Ruhrgebiet/Ruhr-Universität Bochum mit der Abteilung Klinisch-Epidemiologische Forschung (KEF) von SHIP vereinbart, aus dem bereits interessante Ergebnisse hochrangig publiziert wurden. Um das Potenzial solcher Kooperationen zu betonen, werden wesentliche Inhalte mit Fokus auf die Magnetresonanztomographie (MRT) im Folgenden, auch unter historischen Aspekten, dargestellt.
Diffusion MRI data, sulcal anatomy, and tractography for eight species from the Primate Brain Bank
Authors: Bryant Katherine L. , Ardesch Dirk Jan , Roumazeilles Lea , Scholtens Lianne H. , Khrapitchev Alexandre A. , Tendler Benjamin C. , Wu Wenchuan , Miller Karla L. , Sallet Jerome , van den Heuvel Martijn P. , Mars Rogier B. 
Published: July 2021

AbstractLarge-scale comparative neuroscience requires data from many species and, ideally, at multiple levels of description. Here, we contribute to this endeavor by presenting diffusion and structural MRI data from eight primate species that have not or rarely been described in the literature. The selected samples from the Primate Brain Bank cover a prosimian, New and Old World monkeys, and a great ape. We present preliminary labelling of the cortical sulci and tractography of the optic radiation, dorsal part of the cingulum bundle, and dorsal parietal–frontal and ventral temporal-frontal longitudinal white matter tracts. Both dorsal and ventral association fiber systems could be observed in all samples, with the dorsal tracts occupying much less relative volume in the prosimian than in other species. We discuss the results in the context of known primate specializations and present hypotheses for further research. All data and results presented here are available online as a resource for the scientific community.
New Perspectives on Green Energy Defaults
Authors: Mundaca L. , Moncreiff H. 
Published: July 2021

AbstractThis paper is an attempt to provide new perspectives on green energy defaults (GED) that promote the purchase of renewable energy electricity (REe) among consumers. We aim to complement existing studies and improve the understanding of GED, particularly when they are less, or unexpectedly, effective. To that end, we run a randomized controlled experiment and take the UK as a case study. We replicate the research design of previous lab experiments for comparative reasons. We also expand the analytical framework, identify key determinants and compare stated versus revealed preferences. Initial results indicate a lack of effectiveness across all treatment groups. This seems to challenge most of the existing lab experimental evidence and questions external validity claims. In addition to the actual treatments, current tariff agreements appear as significant determinants of choices. Nevertheless, when stated and revealed preferences are analysed, statistical tests revealed positive and significant differential effects, suggesting that the sole provision of an explicit, simple decision framework can trigger a greater adoption of REe, even in an opt-in treatment scenario. We thus argue that GED can still influence consumer decision-making in the desired policy direction. However, outcomes are likely to be context-specific so policy generalisations are not advisable. Building upon existing knowledge and our experimental results, we propose various motivational and contextual issues affecting consumer behaviour and thus the effectiveness and suitability of GED. They can offer guidance for future GED studies, particularly in countries in which market and consumer policy conditions for REemay be less advanced or certain.
Transformation and digital literacy: Systematic literature mapping
Authors: Farias-Gaytan Silvia , Aguaded Ignacio , Ramirez-Montoya Maria-Soledad 
Published: July 2021

AbstractThe advancements of technology have allowed digital transformation to reach all productive sectors, including the education sector and its members. This transformation is linked to emerging technologies, the digitalization of processes and resources, and the demand for users to upgrade to the latest technological updates. This research aims to analyze digital transformation and media literacy publications that impact higher education. Its purpose is to identify the types of research and topics they address and explore the scope of digital transformation in higher education institutions. The systematic mapping method was used to analyze 298 articles published in two databases, Scopus and Web of Science (WoS). Inclusion and exclusion criteria were applied to select the articles that could be included in this research. The results show that the largest proportion of articles were found in Scopus, and used both qualitative and quantitative empirical research methods, followed by theoretical-conceptual methods and, to a lesser extent, mixed methods. Likewise, the publications originated in five continents, and theJournal of Adolescent and Adult Literacyhad the largest number of publications, with 14. Forty-two percent of the studies were classified in the strategy category, with the most mentioned topic being digital pedagogies. This research provides a perspective on digital transformation studies in higher education institutions and their internalization approaches. This research may be of value to trainers, students, decision-makers, and researchers interested in transformation, educommunication, and educational innovation.
The Relationship Between Firm Productivity, Wage Level and Employees’ Age: A Sectoral Perspective
Authors: Børing Pål 
Published: July 2021

AbstractWe examine how a firm’s productivity level, wage level and productivity–wage gap are related to the age composition of its employees. Panel data of Norwegian firms in the following three sectors are used: the manufacturing sector, the WRT (wholesale and retail trade, repair of motor vehicles and motorcycles) sector, and the PST (professional, scientific and technical activities) sector. Three hypotheses are formulated: a firm’s productivity level is negatively affected by its proportion of the oldest workers (H1), a firm’s wage level is negatively affected by its proportion of the youngest workers, and positively affected by its proportion of the oldest workers (H2), and a firm’s productivity–wage gap is positively affected by its proportion of the youngest workers, and negatively affected by its proportion of the oldest workers (H3). Based on GMM regression in first differences, the estimation results give some support for (a) the hypothesis H1 for the WRT sector, but no support for the manufacturing and PST sectors, (b) H2 for the manufacturing and PST sectors, but little support for the WRT sector, and (c) H3 for the PST sector, but no support for the manufacturing and WRT sectors. The GMM results show that a firm’s productivity–wage gap is positively affected by the proportion of the youngest age group in the PST sector, while there is a non-significant effect in the manufacturing and WRT sectors. The proportion of the oldest age group has a non-significant effect on this gap in each of the three sectors. The results indicate that there is no clear evidence of an age-related productivity–wage gap.
Zika virus infection of the placenta alters extracellular matrix proteome
Authors: Borges-Vélez Gabriel , Rosado-Philippi Julio , Cantres-Rosario Yadira M. , Carrasquillo-Carrion Kelvin , Roche-Lima Abiel , Pérez-Vargas Jean , González-Martínez Andrea , Correa-Rivas María S. , Meléndez Loyda M. 
Published: July 2021

AbstractZika virus (ZIKV) infection has been associated with fetal abnormalities by compromising placental integrity, but the mechanisms by which this occurs are unknown. Flavivirus can deregulate the host proteome, especially extracellular matrix (ECM) proteins. We hypothesize that a deregulation of specific ECM proteins by ZIKV, affects placental integrity. Using twelve different placental samples collected during the 2016 ZIKV Puerto Rico epidemic, we compared the proteome of five ZIKV infected samples with four uninfected controls followed by validation of most significant proteins by immunohistochemistry. Quantitative proteomics was performed using tandem mass tag TMT10plex™ Isobaric Label Reagent Set followed by Q Exactive™ Hybrid Quadrupole Orbitrap Mass Spectrometry. Identification of proteins was performed using Proteome Discoverer 2.1. Proteins were compared based on the fold change and p value using Limma software. Significant proteins pathways were analyzed using Ingenuity Pathway (IPA). TMT analysis showed that ZIKV infected placentas had 94 reviewed differentially abundant proteins, 32 more abundant, and 62 less abundant. IPA analysis results indicate that 45 of the deregulated proteins are cellular components of the ECM and 16 play a role in its structure and organization. Among the most significant proteins in ZIKV positive placenta were fibronectin, bone marrow proteoglycan, and fibrinogen. Of these, fibrinogen was further validated by immunohistochemistry in 12 additional placenta samples and found significantly increased in ZIKV infected placentas. The upregulation of this protein in the placental tissue suggests that ZIKV infection is promoting the coagulation of placental tissue and restructuration of ECM potentially affecting the integrity of the tissue and facilitating dissemination of the virus from mother to the fetus.
Synthetic algal-bacteria consortia for space-efficient microalgal growth in a simple hydrogel system
Authors: Martin Noah , Bernat Tatum , Dinasquet Julie , Stofko Andrea , Damon April , Deheyn Dimitri D. , Azam Farooq , Smith Jennifer E. , Davey Matthew P. , Smith Alison G. , Vignolini Silvia , Wangpraseurt Daniel 
Published: July 2021

AbstractPhotosynthetic microalgae are an attractive source of food, fuel, or nutraceuticals, but commercial production of microalgae is limited by low spatial efficiency. In the present study we developed a simple photosynthetic hydrogel system that cultivates the green microalga, Marinichlorella kaistiae KAS603, together with a novel strain of the bacteria, Erythrobacter sp. We tested the performance of the co-culture in the hydrogel using a combination of chlorophyll-a fluorimetry, microsensing, and bio-optical measurements. Our results showed that growth rates in algal–bacterial hydrogels were about threefold enhanced compared to hydrogels with algae alone. Chlorophyll-a fluorimetry–based light curves found that electron transport rates were enhanced about 20% for algal–bacterial hydrogels compared to algal hydrogels for intermediate irradiance levels. We also show that the living hydrogel is stable under different environmental conditions and when exposed to natural seawater. Our study provides a potential bio-inspired solution for problems that limit the space-efficient cultivation of microalgae for biotechnological applications.
Early Balkan Metallurgy: Origins, Evolution and Society, 6200–3700 BC
Authors: Radivojević Miljana , Roberts Benjamin W. 
Published: July 2021

AbstractThis paper analyses and re-evaluates current explanations and interpretations of the origins, development and societal context of metallurgy in the Balkans (c. 6200–3700 BC). The early metallurgy in this region encompasses the production, distribution and consumption of copper, gold, tin bronze, lead and silver. The paper draws upon a wide range of existing archaeometallurgical and archaeological data, the diversity and depth of which make the Balkans one of the most intensively investigated of all early metallurgical heartlands across the world. We focus specifically on the ongoing debates relating to (1) the independent invention and innovation of different metals and metal production techniques; (2) the analysis and interpretation of early metallurgical production cores and peripheries, and their collapses; and (3) the relationships between metals, metallurgy and society. We argue that metal production in the Balkans throughout this period reflects changes in the organisation of communities and their patterns of cooperation, rather than being the fundamental basis for the emergence of elites in an increasingly hierarchical society.
The importance of spatial configuration of neighbouring land cover for explanation of surface temperature of individual patches in urban landscapes
Authors: Zawadzka J. E. , Harris J. A. , Corstanje R. 
Published: July 2021

AbstractContextRelationships between spatial configuration of urban form and land surface temperature (LST) in the excess heat mitigation context are studied over larger tracts of land not allowing for micro-scale recommendations to urban design.ObjectivesTo identify spatial configuration descriptors (SCDs) of urban form and the size of zone of influence conducive to the formation of the coldest and hottest land cover (LC) patches of different types (buildings, grass, paved and trees) from 2 m resolution LC and 2 and 100 m resolution LST maps at two time-steps in the summer.MethodsRandom Forest regression models were deployed to explain the LST of individual LC patches of different types based on SCDs of core LC patches and patches in their neighbourhoods. ANOVA was used to determine significantly different values of the most important SCDs associated with the coldest and hottest LC patches, and analysis of quartiles informed specification of their ranges.ResultsUrban form in the immediate neighbourhood to the core LC patches had a strong influence on their LST. Low elevation, high proximity to water, and high aggregation of trees, being important to the formation of the coldest patches of all types. High resolution of LST contributed to a higher accuracy of results. Elevation and proximity to water gained in importance as summer progressed.ConclusionsSpatial configuration of urban form in the nearest proximity to individual LC patches and the use of fine resolution LST data are essential for issuing heat mitigation recommendations to urban planners relevant to micro-scales.
Self-Organised Collision-Free Flocking Mechanism in Heterogeneous Robot Swarms
Authors: Ban Zhe , Hu Junyan , Lennox Barry , Arvin Farshad 
Published: July 2021

AbstractFlocking is a social animals’ common behaviour observed in nature. It has a great potential for real-world applications such as exploration in agri-robotics using low-cost robotic solutions. In this paper, an extended model of a self-organised flocking mechanism using heterogeneous swarm system is proposed. The proposed model for swarm robotic systems is a combination of a collective motion mechanism with obstacle avoidance functions, which ensures a collision-free flocking trajectory for the followers. An optimal control model for the leader is also developed to steer the swarm to a desired goal location. Compared to the conventional methods, by using the proposed model, the swarm network has less requirement for power and storage. The feasibility of the proposed self-organised flocking algorithm is validated by realistic robotic simulation software.
Genetic Predisposition and its Heredity in the Context of Increased Prevalence of Dermatophytoses
Authors: Gnat Sebastian , Łagowski Dominik , Nowakiewicz Aneta 
Published: July 2021

AbstractDermatophytosis is a widespread disease with high prevalence and a substantial economic burden associated with costs of treatment. The pattern of this infectious disease covers a wide spectrum from exposed individuals without symptoms to those with acutely inflammatory or non-inflammatory, chronic to invasive, and life-threatening symptoms. Moreover, the prevalence of cutaneous fungal infections is not as high as might be expected. This curious disparity in the dermatophyte infection patterns may suggest that there are individual factors that predispose to infection, with genetics as an increasingly well-known determinant. In this review, we describe recent findings about the genetic predisposition to dermatophyte infections, with focus on inheritance in families with a high frequency of dermatophyte infections and specific host–pathogen interactions. The results of studies indicating a hereditary predisposition to dermatophytoses have been challenged by many skeptics suggesting that the varied degree of pathogenicity and the ecological diversity of this group of fungi are more important in increasing sensitivity. Nonetheless, a retrospective analysis of the hereditary propensity to dermatophytoses revealed at least several proven genetic relationships such as races, CARD9 deficiency, HLA-DR4 and HLA-DR8 type and responsible genes encoding interleukin-22, β-defensin 2 and 4 as well as genetic defects in dectin-1, which increased the prevalence of the disease in families and were involved in the inheritance of the proneness in their members. In future, the Human Genome Diversity Project can contribute to elucidation of the genetic predisposition to dermatophytoses and provide more information.
Using Artificial Intelligence in Fungal Lung Disease: CPA CT Imaging as an Example
Authors: Angelini Elsa , Shah Anand 
Published: July 2021

AbstractThis positioning paper aims to discuss current challenges and opportunities for artificial intelligence (AI) in fungal lung disease, with a focus on chronic pulmonary aspergillosis and some supporting proof-of-concept results using lung imaging. Given the high uncertainty in fungal infection diagnosis and analyzing treatment response, AI could potentially have an impactful role; however, developing imaging-based machine learning raises several specific challenges. We discuss recommendations to engage the medical community in essential first steps towards fungal infection AI with gathering dedicated imaging registries, linking with non-imaging data and harmonizing image-finding annotations.