bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis and characterization of tubular ceramic ultrafiltration membrane from coal fly ash
Authors: Chathurappan Raja , Anandkumar Jayapal 
Published: January 2023

AbstractIn this study, a tubular ceramic ultrafiltration membrane was synthesized using coal fly ash (CFA) along with fuller clay and a small quantity of inorganic precursors by extrusion method. The composition of membrane precursors was varied to prepare the ceramic membranes which were named as CM1, CM2 and CM3. Thermogravimetric analysis (TGA) confirmed high thermal stability nature of the membranes. The insignificant weight loss (<0.5%) of the membranes in a highly acidic and alkaline medium showed the high chemical resistance of the ceramic membranes. Mullite and Quartz was identified as significant phases of synthesized membranes via XRD analysis. The high negative charge of ceramic membranes was observed by Zeta potential analysis. Molecular weight cut‐off (MWCO) of CM1, CM2, and CM3 membranes were estimated as 59, 50.3 to 36.6 kDa, respectively. The proportion of fuller clay significantly influenced the membrane properties such as porosity, pore size, and hydraulic permeability. The pure water flux of the membranes was increased with increase of applied pressure from 69 to 345 kPa. The maximum water flux was obtained as 11.7 × 10−5 m3/m2 s at 345 kPa for CM1. The pore size and porosity of the membranes were decreased from 131 to 96 nm and 57.68% and 44.8% while increasing the fuller clay from 8% to 12% in the membrane (CM1 to CM3), respectively. The results obtained in this study demonstrate that the CM3 tubular ceramic membrane can be successfully used for various ultrafiltration applications.
Social Acceptability of Cisgenic Plants: Public Perception, Consumer Preferences, and Legal Regulation
Authors: Dayé Christian , Spök Armin , Allan Andrew C. , Yamaguchi Tomiko , Sprink Thorben 
Published: January 2023

AbstractPart of the rationale behind the introduction of the term cisgenesis was the expectation that due to the “more natural” character of the genetic modification, cisgenic plants would be socially more acceptable than transgenic ones. This chapter assesses whether this expectation was justified. It thereby addresses three arenas of social acceptability: public perception, consumer preferences, and legal regulation. Discussing and comparing recent studies from four geographical areas across the globe—Europe, North America, Japan, and Australia and New Zealand—the chapter shows that the expectation was justified, and that cisgenic plants are treated as being more acceptable than other forms of genetic modification. Yet, there are considerable differences across the three arenas of social acceptability. In Australia, Canada, and the United States of America, the legal regulation of cisgenic plants is less restrictive than in Europe, Japan, and New Zealand. Also, the public perceptions are rather diverse across these countries, as are the factors that are deemed most influential in informing public opinion and consumer decisions. While people in North America appear to be most interested in individual benefits of the products (improved quality, health aspects), Europeans are more likely to accept cisgenic plants and derived products if they have a proven environmental benefit. In New Zealand, in contrast, the potential impact of cisgenic plants on other, more or less related markets, like meat export and tourism, is heavily debated. We conclude with some remarks about a possible new arrangement between science and policy that may come about with a new, or homogenized, international regulatory regime.
An efficient closed-form solution for springback prediction and compensation in elastic–plastic creep age forming
Authors: Wang Xi , Rong Qi , Shi Zhusheng , Lin Jianguo 
Published: January 2023

AbstractAccurately predicting the amount of springback has always been a prior focus in metal forming industry, particularly for creep age forming (CAF), for its significant effect on tool cost and forming accuracy. In this study, a closed-form solution for CAF springback prediction covering deformation from elastic to plastic loadings was developed by combining the beam theory and Winkler’s theory, based on which an efficient springback compensation method for CAF was proposed. This developed solution extends the application area beyond the traditional beam theory-based springback prediction methods, maintaining its validity with large loading deflection in plastic range. Finite element (FE) simulation and four-point bending CAF tests adopting a 3rd generation Al-Li alloy were conducted in both elastic and plastic forming regions and the results showed close agreement with the closed-form springback predictions. For the proposed compensation method, an adjustment factor was introduced for complex flexible tool CAF to consider its deviation from the uniform stress loading and can be obtained using the closed-form solution. The flexible tool CAF tests using the Al-Li alloy demonstrated the applicability of the proposed compensation method to obtain the target shape within reasonable iterations, which can be further reduced by combining FE simulation.
The optimum anticoagulation time after endovascular thrombectomy for atrial fibrillation-related large vessel occlusion stroke: a real-world study
Authors: Ma Hongrui , Che Ruiwen , Zhang Qihan , Yu Wantong , Wu Longfei , Zhao Wenbo , Li Ming , Wu Di , Wu Chuanjie , Ji Xunming 
Published: January 2023

Abstract
Objectives
To investigate the relationship between the initiation time of anticoagulation after endovascular treatment (EVT) and the outcomes in atrial fibrillation (AF)-related acute ischemic stroke (AIS) patients.

Methods
In this prospective registry study, from March 2013 to June 2022, patients with anterior circulation territories AF-related AIS who underwent EVT within 24 h were included. The primary outcome was favorable [modified Rankin Scale (mRS) 0–1) at ninety days and the secondary outcome was hemorrhage events after anticoagulants. Factors affecting the outcomes were pooled into multivariate regression and ROC curve analysis.

Results
Of 234 eligible patients, there were 63 (26.9%) patients achieved a favorable outcome. The symptomatic intracranial hemorrhage (sICH), ICH, and systemic hemorrhage events after anticoagulants occurred in 8 (3.4%), 28 (12.0%), and 39 (16.7%) patients, severally. A longer EVT to anticoagulation time (p = 0.033) was associated with an unfavorable outcome (mRS 3–6). An earlier EVT to anticoagulation time was the independent risk factor of sICH (p = 0.043), ICH (p = 0.005), and systemic hemorrhage (p = 0.005). There was no significant difference in recurrent AIS/ transient ischemic attack (TIA) or mortality among patients who started anticoagulation at ≤ 4 days, ≥ 15 days, or 4 to 15 days. The optimum cut-off for initiating anticoagulants to predict a favorable outcome and hemorrhage events was 4.5 days and 3.5 days after EVT, respectively.

Conclusions
In AF-related AIS, the time of EVT to anticoagulation is an independent factor of the functional outcome and hemorrhage events after anticoagulation. The optimal initiate time of anticoagulant after EVT is 4.5 days.

ClinicalTrialRegister
NCT03754738.
Das große Verbesserungspotenzial in der multimodalen Basisbehandlung der peripheren arteriellen Verschlusskrankheit (pAVK): ein Aufruf zum flächendeckenden Ausbau der pAVK-Gehtrainingsgruppen in Deutschland
Authors: Dovzhanskiy Dmitriy , Behrendt Christian-Alexander , Görtz Hartmut , Uhl Christian , Classen Simon , Marchiori Elena , Neufang Achim , Rümenapf Gerhard , Stavroulakis Konstantinos , Rother Ulrich , Jaron Vera , Kunert Katrin ,   Kommission pAVK und diabetischer Fuß der Deutschen Gesellschaft für Gefäßchirurgie und Gefäßmedizin (DGG e. V.),   Deutscher Behindertensportverband (DBS)
Published: January 2023

ZusammenfassungDas Gehtraining gehört zu den wichtigsten Säulen der Behandlung der peripheren arteriellen Verschlusskrankheit (pAVK). Das Gehtraining in Gruppen unter Anleitung ist dabei besonders effektiv. In Deutschland ist ein flächendeckendes Angebot von Gehtrainingsgruppen nicht verfügbar. Von der Deutschen Gesellschaft für Gefäßchirurgie und Gefäßmedizin (DGG e. V.), vertreten durch die Kommission „pAVK und diabetischer Fuß“ wurde daher eine Kampagne zur bundesweiten Förderung des Aufbaus von lokalen Gehtrainingsgruppen gestartet. In diesem Artikel wird an Gefäßmediziner appelliert, bei sich vor Ort die Gehtrainingsgruppen auszubauen und mitzugestalten. Die Wege zum Ausbau solcher Gehtrainingsgruppen werden beschrieben.
Unplanned intensive care unit readmission after surgical treatment in patients with newly diagnosed glioblastoma — forfeiture of surgically achieved advantages?
Authors: Lehmann Felix , Potthoff Anna-Laura , Borger Valeri , Heimann Muriel , Ehrentraut Stefan Felix , Schaub Christina , Putensen Christian , Weller Johannes , Bode Christian , Vatter Hartmut , Herrlinger Ulrich , Schuss Patrick , Schäfer Niklas , Schneider Matthias 
Published: January 2023

AbstractPostoperative intensive care unit (ICU) monitoring is an established option to ensure patient safety after resection of newly diagnosed glioblastoma. In contrast, secondary unplanned ICU readmission following complicating events during the initial postoperative course might be associated with severe morbidity and impair initially intended surgical benefit. In the present study, we assessed the prognostic impact of secondary ICU readmission and aimed to identify preoperatively ascertainable risk factors for the development of such adverse events in patients treated surgically for newly diagnosed glioblastoma. Between 2013 and 2018, 240 patients were surgically treated for newly diagnosed glioblastoma at the authors’ neuro-oncological center. Secondary ICU readmission was defined as any unplanned admission to the ICU during initial hospital stay. A multivariable logistic regression analysis was performed to identify preoperatively measurable risk factors for unplanned ICU readmission. Nineteen of 240 glioblastoma patients (8%) were readmitted to the ICU. Median overall survival of patients with unplanned ICU readmission was 9 months compared to 17 months for patients without secondary ICU readmission (p=0.008). Multivariable analysis identified “preoperative administration of dexamethasone > 7 days” (p=0.002) as a significant and independent predictor of secondary unplanned ICU admission. Secondary ICU readmission following surgery for newly diagnosed glioblastoma is significantly associated with poor survival and thus may negate surgically achieved prerequisites for further treatment. This underlines the indispensability of precise patient selection as well as the importance of further scientific debate on these highly relevant aspects for patient safety.
Singular limits of a coupled elasto-plastic damage system as viscosity and hardening vanish
Authors: Crismale Vito , Lazzaroni Giuliano , Rossi Riccarda 
Published: January 2023

AbstractThe paper studies the asymptotic analysis of a model coupling elastoplasticity and damage depending on three parameters—governing viscosity, plastic hardening, and convergence rate of plastic strain and displacement to equilibrium—as they vanish in different orders. The notion of limit evolution obtained is proven to coincide in any case with a notion introduced by Crismale and Rossi (SIAM J Math Anal 53(3):3420–3492, 2021), moreover, such solutions are closely related to those obtained in the vanishing-viscosity limit by Crismale and Lazzaroni (Calc Var Part Differ Equ 55(1):17, 2016), for the analogous model where only the viscosity parameter was present.
Identification of Asymptomatic COVID-19 Patients on Chest CT Images Using Transformer-Based or Convolutional Neural Network–Based Deep Learning Models
Authors: Yin Minyue , Liang Xiaolong , Wang Zilan , Zhou Yijia , He Yu , Xue Yuhan , Gao Jingwen , Lin Jiaxi , Yu Chenyan , Liu Lu , Liu Xiaolin , Xu Chao , Zhu Jinzhou 
Published: January 2023

AbstractNovel coronavirus disease 2019 (COVID-19) has rapidly spread throughout the world; however, it is difficult for clinicians to make early diagnoses. This study is to evaluate the feasibility of using deep learning (DL) models to identify asymptomatic COVID-19 patients based on chest CT images. In this retrospective study, six DL models (Xception, NASNet, ResNet, EfficientNet, ViT, and Swin), based on convolutional neural networks (CNNs) or transformer architectures, were trained to identify asymptomatic patients with COVID-19 on chest CT images. Data from Yangzhou were randomly split into a training set (n = 2140) and an internal-validation set (n = 360). Data from Suzhou was the external-test set (n = 200). Model performance was assessed by the metrics accuracy, recall, and specificity and was compared with the assessments of two radiologists. A total of 2700 chest CT images were collected in this study. In the validation dataset, the Swin model achieved the highest accuracy of 0.994, followed by the EfficientNet model (0.954). The recall and the precision of the Swin model were 0.989 and 1.000, respectively. In the test dataset, the Swin model was still the best and achieved the highest accuracy (0.980). All the DL models performed remarkably better than the two experts. Last, the time on the test set diagnosis spent by two experts—42 min, 17 s (junior); and 29 min, 43 s (senior)—was significantly higher than those of the DL models (all below 2 min). This study evaluated the feasibility of multiple DL models in distinguishing asymptomatic patients with COVID-19 from healthy subjects on chest CT images. It found that a transformer-based model, the Swin model, performed best.
Towards specific T–H relationships: FRIBAS database for better characterization of RC and URM buildings
Authors: Gallipoli Maria Rosaria , Petrovic Bojana , Calamita Giuseppe , Tragni Nicola , Scaini Chiara , Barnaba Carla , Vona Marco , Parolai Stefano 
Published: January 2023

AbstractFRIBAS database is an open access database (https://doi.org/10.5281/zenodo.6505442) composed of the characteristics of 312 buildings (71 masonry, 237 reinforced concrete and 4 mixed types). It collects and harmonizes data from different surveys performed on buildings in the Basilicata and Friuli Venezia Giulia regions (Southern and Northeastern Italy, respectively). Each building is defined by 37 parameters related to the building and foundation soil characteristics. The building and soil fundamental periods were experimentally estimated based on ambient noise measurements. FRIBAS gave us the opportunity to study the influence of the main characteristics of buildings and the soil-building interaction effect to their structural response. In this study, we have used the FRIBAS dataset to investigate how the building period varies as a function of construction materials and soil types. Our results motivate the need of going beyond a ‘one-fits-all’ numerical period–height (T–H) relationship for generic building typologies provided by seismic codes, towards specific T–H relationships that account for both soil and building typologies.
Age-specific contribution of contacts to transmission of SARS-CoV-2 in Germany
Authors: Rodiah Isti , Vanella Patrizio , Kuhlmann Alexander , Jaeger Veronika K. , Harries Manuela , Krause Gerard , Karch Andre , Bock Wolfgang , Lange Berit 
Published: January 2023

AbstractCurrent estimates of pandemic SARS-CoV-2 spread in Germany using infectious disease models often do not use age-specific infection parameters and are not always based on age-specific contact matrices of the population. They also do usually not include setting- or pandemic phase-based information from epidemiological studies of reported cases and do not account for age-specific underdetection of reported cases. Here, we report likely pandemic spread using an age-structured model to understand the age- and setting-specific contribution of contacts to transmission during different phases of the COVID-19 pandemic in Germany. We developed a deterministic SEIRS model using a pre-pandemic contact matrix. The model was optimized to fit age-specific SARS-CoV-2 incidences reported by the German National Public Health Institute (Robert Koch Institute), includes information on setting-specific reported cases in schools and integrates age- and pandemic period-specific parameters for underdetection of reported cases deduced from a large population-based seroprevalence studies. Taking age-specific underreporting into account, younger adults and teenagers were identified in the modeling study as relevant contributors to infections during the first three pandemic waves in Germany. For the fifth wave, the Delta to Omicron transition, only age-specific parametrization reproduces the observed relative and absolute increase in pediatric hospitalizations in Germany. Taking into account age-specific underdetection did not change considerably how much contacts in schools contributed to the total burden of infection in the population (up to 12% with open schools under hygiene measures in the third wave). Accounting for the pandemic phase and age-specific underreporting is important to correctly identify those groups of the population in which quarantine, testing, vaccination, and contact-reduction measures are likely to be most effective and efficient. Age-specific parametrization is also highly relevant to generate informative age-specific output for decision makers and resource planers.
Sustainability of an economy from the water-energy-food nexus perspective
Authors: Morales-García Manuel , Rubio Miguel Á. García 
Published: January 2023

AbstractIn this paper we study the usefulness of the water-energy-food nexus in assessing the sustainability of an economy. All economic activity depends on its surrounding physical environment, and especially on the interconnection between these three essential resources. As a result, the nexus is a useful tool for detecting the economic risk of resource scarcity, optimising investments or resource use, and assessing the effects of economic policies or shocks such as climate change. The nexus approach is also useful for guiding policies towards achieving the United Nations Sustainable Development Goals (SDGs). We show that both the objective of each study and the scale on which it is conducted are factors worth considering when choosing the most suitable research methodology. We detected important challenges relating to the heterogeneity of the methods, scales and variables used, and therefore necessary measures nare suggested in order to homogenise the studies for their comparability and/or integration, both horizontally and vertically, or over time.
Graphical abstract
Genetic survey extension of the threatened Iberian Arnica montana L. revealed the presence of divergent plastid lineages and highly structured populations in northern Spain
Authors: Bouza Carmen , Lorenzo Iria , Rodríguez-Guitián Manuel A. , Casanova Adrián , Real Carlos , Romero Rosa , Vera Manuel 
Published: January 2023

AbstractIberian populations of Arnica montana L. (Asteraceae) represent a valuable resource both for conservation and pharmaceutical industry. Previous genetic analyses pointed out the presence of different genetic groups, but a wide region is still genetically unexplored. In order to fill this scientific gap, the present study analysed a wider sampling area along the northern Iberian Peninsula. Nuclear (i.e. microsatellite loci) and plastid DNA (cpDNA) molecular markers were used to assess the levels of genetic diversity and the population structure in 16 locations, eight analysed for the first time in the present study and eight representative of the different genetic groups previously identified. The two divergent cpDNA groups previously described were found, but their distribution was extended and refined. Thus, one of the groups (suggested as ancestral) was predominantly distributed in adjacent zones of the Cantabrian coasts while the other (more related to Central-European populations) was predominant in inner Cantabrian regions and Pyrenees. Genetic diversity with microsatellite loci (He = 0.280) was in accordance with the figures previously described, with a high level of population differentiation (FST > 0.500) identifying the presence of up to five population genetic units. Genetic and geographical distances were not related (no isolation-by-distance pattern identified), suggesting an important effect of genetic drift. Finally, due to the conservation and evolutionary interest of the populations analysed, different management actions useful for the maintenance of wild A. montana resources are provided.
Development and Validation of the Marginalized-Group-Focused Diversity Climate Scale: Group Differences and Outcomes
Authors: Sakr Nouran , Son Hing Leanne S. , González-Morales M. Gloria 
Published: January 2023

AbstractIn this research,
we created and tested the validity of a Marginalized-Group-Focused Diversity Climate Scale (MGF-DCS) following Hinkin’s (1998) best practices. Previously, no measure of diversity climate has been validated. Furthermore, addressing challenges concerning the basis of diversity climate perceptions, we reviewed disparate diversity climate definitions and scales to identify its core components and sources, focusing on the treatment of organizational members who identify as marginalized group members. Using full-time employee samples (N = 1639), tests of content validity (study 1), exploratory factor analysis (study 2), confirmatory factor analysis (study 3), convergent and discriminant validity (study 4), and criterion validity (study 5) were conducted. Results suggest that the MGF-DCS comprises three subscales: (1) interpersonal valuing of marginalized groups; (2) organizational representation and inclusion of marginalized groups; and (3) organizational anti-discrimination. Furthermore, the MGF-DCS exhibited measurement invariance across marginalized group identification. In study 5, using the MGF-DCS, we tested how perceptions of diversity climate predict organizational and personal outcomes, as moderated by participants’ marginalized group identification. In general, the more participants perceived their workplaces to have a positive diversity climate, the better they saw social dynamics in their workplace (e.g. higher cohesion) and the better their personal outcomes (e.g. lower job stress); in some cases, these benefits were stronger for employees identifying as marginalized group members (e.g. less experienced discrimination). Thus, the MGF-DCS provides a reliable and valid assessment of diversity climate in organizations that can be used to advance theory, research, and diversity management practice.
Turning to Religion During COVID-19 (Part II): A Systematic Review, Meta-analysis and Meta-regression of Studies on the Relationship between Religious Coping and Mental Health throughout COVID-19
Authors: Pankowski Daniel , Wytrychiewicz-Pankowska Kinga 
Published: January 2023

AbstractThe COVID-19 pandemic and the many associated socio-economic changes constitute a stressful event that required adaptation to new, dynamic, and often threatening conditions. According to the literature, coping strategies are one of the factors that determine a person’s degree of adaptation to stressful situations. A systematic review and meta-analysis was performed on the relationship between religious coping and selected indicators of mental health. Due to the large amount of data, this work has been divided into two parts: Part I discussed the positive mental health indicators (Pankowski & Wytrychiewicz-Pankowska, 2023), while this Part II discusses negative mental health indicators. A systematic review of the databases of Science Direct, EBSCO, Cochrane, PubMed, and Google Scholar identified 33 articles related to the severity of depressive symptoms: 30 to anxiety, 23 to stress, 1 related to PTSD symptoms and peritraumatic stress, and 5 related to general negative mental health. The limitations of the research as well as further directions for exploration are discussed.Clinical trial registration This Review was pre-registered at OSF: osf.io/54ygr (https://doi.org/10.17605/OSF.IO/GMNFV).