bluuebunny/crossref_metadata_2025_split huggingface dataset:
Changes in hippocampal volume during a preceding 10-year period do not correlate with cognitive performance and hippocampal blood‒brain barrier permeability in cognitively normal late-middle-aged men
Authors: Bakhtiari Aftab , Vestergaard Mark B. , Benedek Krisztina , Fagerlund Birgitte , Mortensen Erik Lykke , Osler Merete , Lauritzen Martin , Larsson Henrik B. W. , Lindberg Ulrich 
Published: December 2022

Abstract
Hippocampal blood–brain barrier (BBB) permeability may increase in normal healthy ageing and contribute to neurodegenerative disease. To examine this hypothesis, we investigated the correlation between blood–brain barrier (BBB) permeability, regional brain volume, memory functions and health and lifestyle factors in The Metropolit 1953 Danish Male Birth Cohort. We used dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with a gadolinium-based contrast agent to assess BBB permeability in 77 participants in the cohort. BBB permeability was measured as Ki values in the hippocampus, thalamus and white matter. Over a 10-year period, we observed progressive atrophy of both the left and right hippocampus (p = 0.001). There was no significant correlation between current BBB permeability and hippocampal volume, prior atrophy or cognition. The hippocampus volume ratio was associated with better visual and verbal memory scores (p < 0.01). Regional BBB differences revealed higher Ki values in the hippocampus and white matter than in the thalamus (p < 0.001). Participants diagnosed with type II diabetes had significantly higher BBB permeability in the white matter (p = 0.015) and thalamus (p = 0.016), which was associated with a higher Fazekas score (p = 0.024). We do not find evidence that BBB integrity is correlated with age-related hippocampal atrophy or cognitive functions. The association between diabetes, white matter hyperintensities and increased BBB permeability is consistent with the idea that cerebrovascular disease compromises BBB integrity. Our findings suggest that the hippocampus is particularly prone to age-related atrophy, which may explain some of the cognitive changes that accompany older age, but this prior atrophy is not correlated with current BBB permeability.
„Einfach mal den Schalter bei den Erwachsenen umlegen“
Authors: Schröer Wolfgang 
Published: December 2022

ZusammenfassungIm Gespräch mit Wolfgang Schröer erläutert Truc-Quynh Vo, zweite Vorsitzende von Careleaver e. V., die Herausforderungen, vor denen die Beteilung von Jugendlichen an politischen Prozessen steht. Dazu gehört aus ihrer Sicht vor allem, dass Erwachsene versuchen, ihre Machtsphäre gegenüber Jugendlichen abzuschotten. Um bessere Voraussetzungen für die Beteiligung Jugendlicher zu schaffen, seien auch grundsätzliche infrastrukturelle Veränderungen erforderlich.
Serum from Stroke Patients with High-Grade Carotid Stenosis Promotes Cyclooxygenase-Dependent Endothelial Dysfunction in Non-ischemic Mice Carotid Arteries
Authors: Puertas-Umbert Lídia , Puig Núria , Camacho Mercedes , Dantas Ana Paula , Marín Rebeca , Martí-Fàbregas Joan , Jiménez-Xarrié Elena , Benitez Sonia , Camps-Renom Pol , Jiménez-Altayó Francesc 
Published: December 2022

AbstractAtherosclerosis is responsible for 20% of ischemic strokes, and severe carotid stenosis is associated with a higher incidence of first-ever and recurrent strokes. The release of pro-inflammatory mediators into the blood in severe atherosclerosis may aggravate endothelial dysfunction after stroke contributing to impair disease outcomes. We hypothesize that environments of severe carotid atherosclerotic disease worsen endothelial dysfunction in stroke linked to enhanced risk of further cerebrovascular events. We mounted nonischemic common carotid arteries from 2- to 4-month-old male Oncins France 1 mice in tissue baths for isometric contraction force measurements and exposed them to serum from men with a recent ischemic stroke and different degrees of carotid stenosis: low- or moderate-grade stenosis (LMGS; < 70%) and high-grade stenosis (HGS; ≥ 70%). The results show that serum from stroke patients induced an impairment of acetylcholine relaxations in mice carotid arteries indicative of endothelium dysfunction. This effect was more pronounced after incubation with serum from patients with a recurrent stroke or vascular death within 1 year of follow-up. When patients were stratified according to the degree of stenosis, serum from HGS patients induced more pronounced carotid artery endothelial dysfunction, an effect that was associated with enhanced circulating levels of IL-1β. Mechanistically, endothelial dysfunction was prevented by both nonselective and selective COX blockade. Altogether, the present findings add knowledge on the understanding of the mechanisms involved in the increased risk of stroke in atherosclerosis and suggest that targeting COX in the carotid artery wall may represent a potential novel therapeutic strategy for secondary stroke prevention.
Study on deposit formation model in sulfide-containing natural gas environment
Authors: Yongliang Liu , Zhidong Ou , Hongda Deng , Zewei Zhang , Yunfan Zeng , Jian Liu 
Published: December 2022

AbstractThe breathing pipe of a produced water storage tank in a sulfide-containing natural gas station is prone to deposit formation, which leads to pipeline blockage. In this study, scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), and X-ray diffraction (XRD) analyses of the deposit in breathing pipe show that the deposit is composed of elemental sulfur and corrosion scales of ferrous polysulfide and ferrous sulfate. Existing deposit formation prediction models cannot predict the formation of elemental sulfur and corrosion scales in sulfide-containing environments. Herein, based on thermodynamic models of elemental sulfur and corrosion scale formation, deposit formation models of elemental sulfur, ferrous polysulfide, and ferrous sulfate scale formation are established. It is found that deposition of elemental sulfur and ferrous polysulfide increases with decreasing temperature of the breathing tube. Corrosion of pipe in the precipitating corrosive water leads to higher activity of $$\left[{\mathrm{Fe}}^{2+}\right]$$

Fe

2
+

on the inner wall of the pipe carried by the sulfide-containing natural gas. Consequently, ferrous polysulfide and ferrous sulfate are easily deposited when the activity products of ferrous, sulfide, and sulfate ions are higher than the thermodynamic solubility product constant. The aforementioned prediction models are applied to predict the deposition of ferrous polysulfide, ferrous sulfate corrosion scale, and elemental sulfur using the chemical composition data of gas and precipitating water in the breathing pipe of the produced water tank of TB101-X1 well. The prediction results of the models are consistent with those of actual chemical composition analysis, which verifies the accuracy and reliability of the models.
Integrated model-based design and functional hazard assessment with SysML on the example of a shock control bump system
Authors: Schäfer M. , Berres A. , Bertram O. 
Published: December 2022

AbstractIntegrating new functions into the aircraft can, for example, increase performance or reduce fuel consumption. Since the installation of such additional functions increases the overall aircraft complexity, it is crucial to adapt methods and tools that support the development and ensure traceability, consistency, and verifiability. In this context, model-based systems engineering and the associated Systems Modeling Language (SysML) have been established as a standard methodology. This paper presents an overview of a system development and modeling process with SysML at the concept design stage using a position-variable shock control bumps system as an example. In addition to the system modeling, safety and reliability analyses have to be considered during the design process. To keep both, the model and the associated safety assessment consistent, this work introduces an extension of SysML to enable the execution of a functional hazard assessment (FHA) according to the ARP4754A and ARP 4761 guidelines. This is the first step in conducting a model-based safety assessment. Furthermore, a modeling process with concepts management methods is performed. In summary, the presented modeling process consists of three main parts: the system modeling, functional hazard assessment and concept management.
Fabrication of N-doping activated carbon (NDAC) from saw dust/ZnCl2 for Acid Brown 14 dye removal from water
Authors: El-Nemr Mohamed A. , Hassaan Mohamed A. , Ashour Ibrahim 
Published: December 2022

Abstract
Nitrogen-doped activated carbon (NDAC) was prepared from saw dust/zinc chloride (2:1) by heating under the flow of ammonia gas at 600 °C, 700 °C, and 800 °C and tested for Acid Brown 14 (AB14) dye adsorption from aquatic solution. The fabricated N-doping activated carbons (NDACs) were characterized by FTIR, TGA, DTA, BET, BJH, MP, t-plot, SEM, EDX, and XRD. The NDACs fabricated at 600 °C, 700 °C, and 800 °C were tested for their capacity to adsorb AB14 dye from water. The nitrogen mass % content in the prepared activated carbon ranged between 17.99 and 21.43%. The NDAC prepared at 600 °C specific surface area, monolayer volume, and mesoporous mean pore diameter were 281.84 m2/g, 64.753 cm3/g, and 2.352 nm, respectively. The NDAC synthesized at 600 °C with a 21.12% nitrogen content was found to be the best one to remove AB14 dye from water and named as NDAC600. The impact of solution pH, initial concentration, and adsorption dosage on the adsorption of AB14 dye by NDAC600 was tested. The adsorption of AB14 dye by NDAC600 was found to be pH dependent, with the optimal elimination of being obtained at pH value 1.5 with a removal efficiency of 89.03%. The adsorption of AB14 dye is attributed to the electrostatic contact between the NDAC600 positively charged sites and the anionic AB14 dye. The AB14 dye adsorption was perfectly designated by using both pseudo-second-order (PSO) and Temkin adsorption kinetic models. The maximum adsorption capacity (Qm) was 909.09 mg/g; moreover, the adsorption process was monolayer sorption of AB14 dye to NDAC600. NDAC600 had proven itself as an effective, available, and green adsorbent for the adsorption of AB14 dye from water and may be applicable to other hazardous pollutants.
Uncrewed autonomous marine vessels test the limits of maritime safety frameworks
Authors: Humphries Fran , Horne Rachel , Olsen Melanie , Dunbabin Matthew , Tranter Kieran 
Published: December 2022

AbstractUncrewed and autonomous marine vessels (UMVs) challenge the underlying paradigm of maritime laws and regulations. Yet UMVs are considered essential for safer, more efficient, and more effective maritime futures. There is a fundamental challenge facing industry and regulators about how to develop and support the nascent UMV industry while maintaining the safety and risk management principles and processes in legacy laws and regulations predicated on the conventional crewed vessel. This paper, drawing upon case studies of developer and operator experiences with Australia’s maritime safety framework, argues for an “intent-based”, flexible, and collaborative approach based on developers’ and operators’ experiences. The case studies show that ad hoc and bespoke regulatory pathways, utilising exemptions and discretions under Australian national laws, although problematic in terms of regulatory consistency and capacity to deal with scale, did allow for the trialling and deployment of two small UMVs. More importantly, the ad hoc approach facilitated information exchange between industry and regulators that is generating reforms and changes at the national level. Although focused on Australia, the findings are significant for maritime futures. It reveals a dialectical approach whereby maritime nations pragmatically work through the risks, standards, and processes that balance safety with facilitating local UMV industries, and in turn, this creates a body of knowledge to inform international reform processes. It also shows the importance of documenting and reflecting on the regulatory journeys of UMV pioneers as essential for safer, more efficient, and effective maritime industries that leverage the potential benefits of automation.
Effect of Surface Roughness on the Surface Texturing of 316 l Stainless Steel by Nanosecond Pulsed Laser
Authors: Al-Mahdy A. , Kotadia H. R. , Sharp M. C. , Opoz T. T. , Mullett J. , Ahuir-Torres J. I. 
Published: December 2022

AbstractStainless steel 316L is an austenitic alloy that is widely used in varying industries due to its outstanding corrosion resistance, high strength, and ductility properties. However, the wear and friction resistance properties are low. Laser surface texturing can improve the wear and friction resistance of the material via the functionalisation of the surface. The laser surface texturing efficiency and the texture quality are defined by the material’s surface properties and laser parameters. The surface roughness is an important material property having an effect on laser surface texturing. This paper reports on a study of the material’s surface roughness influence on the texturing of 316L stainless steel with 1064 nm nanosecond pulsed laser. Single pulse shots were employed to avoid the topographic influence of the previous laser shots. The surface shape and the topography of the textures were assessed using optical microscopy and profilometry. It was observed that the textures produced were dimples of U-type and sombrero-like type geometries depending on surface roughness and pulse energy. The overall quality of the texture shape was better for smoother surfaces. The energy fluence necessary to generate textures is lower on surfaces of lower roughness than surfaces with high roughness. The surface at 24 nm of average roughness is the best surface for creating deep textures. The ablation mechanisms associated with high pulse energy, including plasma shielding, are produced at lower pulse energies for the 100 nm roughness, compared with other roughness samples.
Effects of Experienced Discrimination in Pediatric Sickle Cell Disease: Caregiver and Provider Perspectives
Authors: Blakey Ariel O. , Lavarin Claudine , Brochier Annelise , Amaro Christina M. , Eilenberg Jenna Sandler , Kavanagh Patricia L. , Garg Arvin , Drainoni Mari-Lynn , Long Kristin A. 
Published: December 2022

Abstract
For Black children with sickle cell disease (SCD) and their families, high disease stigmatization and pervasive racism increase susceptibility to discrimination in healthcare settings. Childhood experiences of discrimination can result in medical nonadherence, mistrust of healthcare providers, and poorer health outcomes across the lifespan. Caregivers and medical providers are essential to childhood SCD management and are therefore well-positioned to provide insight into discrimination in the context of pediatric SCD. This mixed-methods study sought caregivers’ and providers’ perspectives on processes underlying discrimination and potential solutions to mitigate the negative effects of perceived discrimination among children with SCD. Caregivers (N = 27) of children with SCD (≤ 12 years old) and providers from their hematology clinics (N = 11) participated in individual semi-structured interviews exploring experiences of discrimination and daily SCD management and completed a quantitative measure of discrimination. Qualitative data were collected until themes reached saturation and subsequently transcribed verbatim, coded, and analyzed using applied thematic analysis. Quantitative and qualitative data converged to suggest the pervasiveness of discrimination in healthcare settings. Three qualitative themes emerged: (1) healthcare system factors underlie discrimination, (2) families’ challenging interactions with providers lead to perceptions of discrimination, and (3) experiences of discrimination impact caregiver-provider interactions. Both caregivers and providers highlighted building trusting patient-provider relationships and encouraging patients’ self-advocacy as means to reduce experiences and impacts of discrimination. These findings offer potential approaches to tangibly mitigate occurrences of discrimination in pediatric healthcare settings by trust building, accountability keeping, and fostering rapport to improve quality of care and pediatric SCD health outcomes.
Assessment of regional economic restorability under the stress of COVID-19 using the new interval type-2 fuzzy ORESTE method
Authors: Zhang Hui , Gao Hui , Liu Peide 
Published: December 2022

AbstractThe economic implications from the COVID-19 crisis are not like anything people have ever experienced. As predictions indicated, it is not until the year 2025 may the global economy recover to the ideal situation as it was in 2020. Regions lacked of developing category is among the mostly affected regions, because the category includes weakly and averagely potential power. For supporting the decision of economic system recovery scientifically and accurately under the stress of COVID-19, one feasible solution is to assess the regional economic restorability by taking into account a variety of indicators, such as development foundation, industrial structure, labor forces, financial support and government's ability. This is a typical multi-criteria decision-making (MCDM) problem with quantitative and qualitative criteria/indicator. To solve this problem, in this paper, an investigation is conducted to obtain 14 indicators affecting regional economic restorability, which form an indicator system. The interval type-2 fuzzy set (IT2FS) is an effective tool to express experts’ subjective preference values (PVs) in the process of decision-making. First, some formulas are developed to convert quantitative PVs to IT2FSs. Second, an improved interval type-2 fuzzy ORESTE (IT2F-ORESTE) method based on distance and likelihood are developed to assess the regional economic restorability. Third, a case study is given to illustrate the method. Then, robust ranking results are acquired by performing a sensitivity analysis. Finally, some comparative analyses with other methods are conducted to demonstrate that the developed IT2F-ORESTE method can supporting the decision of economic system recovery scientifically and accurately.
Current and Future Climate Extremes Over Latin America and Caribbean: Assessing Earth System Models from High Resolution Model Intercomparison Project (HighResMIP)
Authors: Avila-Diaz Alvaro , Torres Roger Rodrigues , Zuluaga Cristian Felipe , Cerón Wilmar L. , Oliveira Lais , Benezoli Victor , Rivera Irma Ayes , Marengo Jose Antonio , Wilson Aaron B. , Medeiros Felipe 
Published: December 2022

AbstractExtreme temperature and precipitation events are the primary triggers of hazards, such as heat waves, droughts, floods, and landslides, with localized impacts. In this sense, the finer grids of Earth System models (ESMs) could play an essential role in better estimating extreme climate events. The performance of High Resolution Model Intercomparison Project (HighResMIP) models is evaluated using the Expert Team on Climate Change Detection and Indices (ETCCDI) over the 1981–2014 period and future changes (2021–2050) under Shared Socioeconomic Pathway SSP5–8.5, over ten regions in Latin America and the Caribbean. The impact of increasing the horizontal resolution in estimating extreme climate variability on a regional scale is first compared against reference gridded datasets, including reanalysis, satellite, and merging products. We used three different groups based on the resolution of the model’s grid (sg): (i) low (0.8° ≤ sg ≤ 1.87°), (ii) intermediate (0.5° ≤ sg ≤ 0.7°), and (iii) high (0.23° ≥ sg ≤ 0.35°). Our analysis indicates that there was no clear evidence to support the posit that increasing horizontal resolution improves model performance. The ECMWF-IFS family of models appears to be a plausible choice to represent climate extremes, followed by the ensemble mean of HighResMIP in their intermediate resolution. For future climate, the projections indicate a consensus of temperature and precipitation climate extremes increase across most of the ten regions. Despite the uncertainties presented in this study, climate models have been and will continue to be an important tool for assessing risk in the face of extreme events.
Atypical vocabulary acquisition in autism: where is it coming from?
Authors: Saldaña David 
Published: December 2022

AbstractWord-learning development is extremely varied among children with autism, with some showing a peak of abilities in vocabulary and others little or no comprehension or expression of isolated words. Typical word learning mechanisms, such as the application of mutual exclusivity, cross-situational mapping, the whole-object principle, and the noun-naming bias also share this heterogeneity: some mechanisms appear to develop in a typical fashion and others depend on the individuals’ language level. The reason for which word-learning processes could be atypical in autism is still the object of debate. Atypical attentional biases or early social interaction could both play a role in early word acquisition. But it is also unclear whether differences in vocabulary acquisition simply reflect the impact of co-morbid language impairment or there is a degree of specificity in autism. Finally, I propose that a more dimensional view in the study of word learning could be useful to move the field forward.
A scoping review on the use of natural language processing in research on political polarization: trends and research prospects
Authors: Németh Renáta 
Published: December 2022

AbstractAs part of the “text-as-data” movement, Natural Language Processing (NLP) provides a computational way to examine political polarization. We conducted a methodological scoping review of studies published since 2010 (n = 154) to clarify how NLP research has conceptualized and measured political polarization, and to characterize the degree of integration of the two different research paradigms that meet in this research area. We identified biases toward US context (59%), Twitter data (43%) and machine learning approach (33%). Research covers different layers of the political public sphere (politicians, experts, media, or the lay public), however, very few studies involved more than one layer. Results indicate that only a few studies made use of domain knowledge and a high proportion of the studies were not interdisciplinary. Those studies that made efforts to interpret the results demonstrated that the characteristics of political texts depend not only on the political position of their authors, but also on other often-overlooked factors. Ignoring these factors may lead to overly optimistic performance measures. Also, spurious results may be obtained when causal relations are inferred from textual data. Our paper provides arguments for the integration of explanatory and predictive modeling paradigms, and for a more interdisciplinary approach to polarization research.