bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbonbeton‐Sandwichelemente unter Anpralllast – numerische und experimentelle Untersuchung
Authors: Schubert Thomas , Scholer Jonathan , Kahnt Alexander , Braml Thomas , Marx Steffen , Beckmann Birgit 
Published: February 2024

AbstractIm vorliegenden Beitrag wird untersucht, inwieweit Carbonbeton‐Sandwichelemente als Fertigteilwände zum Gebäudeschutz beitragen können. Der Kompositwerkstoff Carbonbeton ermöglicht aufgrund der korrosionsbeständigen Bewehrung dünnwandige Konstruktionen. Die Sandwichplatte besteht aus zwei 3 cm dünnen Carbonbetonschichten, zwischen denen 8 cm Mineralfaserwolle als Dämmschicht angebracht ist. Durch den geschichteten Aufbau können Fertigteile hergestellt werden, die die Anforderungen an Tragfähigkeit und Bauphysik erfüllen und als Wandelemente in Gebäudehüllen eingesetzt werden. Im Beitrag wird untersucht, inwieweit ein solches Sandwichwandelement einen baulichen Schutz gegen Anpralllasten darstellen kann, wie sie beispielsweise durch Unwettersituationen infolge geänderter klimatischer Bedingungen oder auch durch anthropogene Ursachen auftreten können. Hierfür werden Impaktversuche in der Fallanlage der TU Dresden durchgeführt. Im druckluftbeschleunigten Modus der Fallanlage wird untersucht, welche Schädigung eine Impaktmasse von 8,4 kg mit Auftreffgeschwindigkeit von 35 m/s in der Carbonbeton‐Sandwichplatte hervorruft. In der experimentellen Untersuchung werden die fotogrammetrisch ermittelten Beschleunigungen sowie Durchbiegungen aufgezeichnet. Darüber hinaus werden das Durchstanzversagen und die Perforation der Carbonbeton‐Sandwichplatte in numerischen Simulationen untersucht und die Ergebnisse mit den experimentell ermittelten Daten verglichen.
Construction and optimization of ecological network based on morphological spatial pattern analysis and minimum cumulative resistance models in Haihe River basin
Authors: Li Fawen , Zhao Yuyao , Zhao Yong 
Published: February 2024

AbstractIn recent years, landscape fragmentation has become increasingly serious due to the impact of human activities. The ecological network can ensure the ecological function of the region through linearly connecting ecological corridors and effectively solving the problem of landscape fragmentation that occurs in the evolution of landscape patterns. Based on MSPA and MCR models, the article analyses the distribution and changes of landscape types in the Haihe River basin and constructs an ecological network in the study area by combining the local ecological characteristics of the basin. The network structure is optimized in the end by selecting three large stepping stones, constructing 69 internal ecological stepping stones, identifying 212 fracture points, and adding seven ecological corridors to build a point–line surface network structure with an internal and external double‐loop structure. The connectivity of the network structure is evaluated by using complex network method. It is calculated that the network connectivity performance is improved by 13.95% after optimization, which means the species exchange in the study area is closer.
Actinin‐4 controls survival signaling in B cells by limiting the lateral mobility of B‐cell antigen receptors
Authors: Alsouri Saed , Ambrose Ashley , Mougios Nikolaos , Paglilla Nadia , Mayr Florian , Choi Kate , Loeber Jens , Chapuy Björn , Haeupl Björn , Opazo Felipe , Oellerich Thomas , Gold Michael , Engelke Michael 
Published: February 2024

AbstractThe structure and dynamics of F‐actin networks in the cortical area of B cells control the signal efficiency of B‐cell antigen receptors (BCRs). Although antigen‐induced signaling has been studied extensively, the role of cortical F‐actin in antigen‐independent tonic BCR signaling is less well understood. Because these signals are essential for the survival of B cells and are consequently exploited by several B‐cell lymphomas, we assessed how the cortical F‐actin structure influences tonic BCR signal transduction. We employed genetic variants of a primary cell‐like B‐cell line that can be rendered quiescent to show that cross‐linking of actin filaments by α‐actinin‐4 (ACTN4), but not ACTN1, is required to preserve the dense architecture of F‐actin in the cortical area of B cells. The reduced cortical F‐actin density in the absence of ACTN4 resulted in increased lateral BCR diffusion. Surprisingly, this was associated with reduced tonic activation of BCR‐proximal effector proteins, extracellular signal‐regulated kinase, and pro‐survival pathways. Accordingly, ACTN4‐deficient B‐cell lines and primary human B cells exhibit augmented apoptosis. Hence, our findings reveal that cortical F‐actin architecture regulates antigen‐independent tonic BCR survival signals in human B cells.
Mood and fluency: The case of pronunciation ease, liking and trust
Authors: Löffler Charlotte S. , Naber Dörte , Weiger Naomi , Zürn Michael K. , Silva Rita R. , Ingendahl Moritz , Topolinski Sascha 
Published: February 2024

AbstractWe explored the impact of mood on the judgemental consequences of word pronounceability in six Experiments (1 preregistered, total N = 1183). Positive and negative mood was induced via video clips (all but Experiment 4) and subliminal affective primes (Experiment 4). Additionally, participants were presented with easy‐ and difficult‐to‐pronounce letter strings. These were framed as target words to be judged for liking (Experiments 1–2), as names of eBay sellers to be judged for trustworthiness (Experiments 3–5), or as either seller names or passwords to provoke opposing interpretations of pronunciation fluency (Experiment 6). While pronounceability showed a robust effect across experiments, mood did not modulate the judgemental use of (Experiments 1–4), the correction for (Experiment 5) and the interpretation (Experiment 6) of word pronounceability. In conclusion, the judgemental effects of pronounceability persist despite the presence of more objective and task‐pertinent cues, resist judgemental correction and remain unaffected by affective states.
Effect of smoking on methylation and semen parameters
Authors: Naeimi Nasim , Mohseni Kouchesfehani Homa , Heidari Zahra , Mahmoudzadeh‐Sagheb Hamidreza 
Published: February 2024

AbstractOne type of epigenetic modification is genomic DNA methylation, which is induced by smoking, and both are associated with male infertility. In this study, the relationship between smoking and CHD5 gene methylation and semen parameters in infertile men was determined. After the MS‐PCR of blood in 224 samples, 103 infertile patients (62 smokers and 41 non‐smokers) and 121 fertile men, methylation level changes between groups and the effect of methylation and smoking on infertility and semen parameters in infertile men were determined. The results showed that there is a significant difference in the methylation status (MM, MU, UU) of the CHD5 gene between the patient and the control group, and this correlation also exists for the semen parameters (p < .001). The average semen parameters in smokers decreased significantly compared to non‐smokers and sperm concentration was (32.21 ± 5.27 vs. 55.27 ± 3.38), respectively. MM methylation status was higher in smokers (22.5%) compared to non‐smokers (14.6%). Smoking components affect the methylation pattern of CHD5 gene, and smokers had higher methylation levels and lower semen parameters than non‐smokers, which can be biomarkers for evaluating semen quality and infertility risk factors. Understanding the epigenetic effects of smoking on male infertility can be very useful for predicting negative consequences of smoking and providing therapeutic solutions.
Automated grain sizing from uncrewed aerial vehicles imagery of a gravel‐bed river: Benchmarking of three object‐based methods
Authors: Miazza Raphaël , Pascal Ivan , Ancey Christophe 
Published: February 2024

AbstractMeasuring grain sizes in gravel‐bed rivers is crucial when studying river dynamics and sediment transport. Automated methodologies have been developed in recent years for detecting individual grains and measuring their size on digital imagery. These object‐based methodologies have mainly been applied to handheld imagery. Low‐cost and high‐resolution orthoimages covering long river reaches are nowadays accessible with the improvements in uncrewed aerial vehicles (UAV) and structure‐from‐motion (SfM) photogrammetry. Applying object‐based grain‐sizing methodologies to such orthoimages may provide wide‐scale information about the grain size spatial distribution along streambeds. We examined how accurate three object‐based models (BASEGRAIN, PebbleCountsAuto and GALET) were, by comparing their outcomes to in‐field manual measurements of grain sizes and manual grain labelling. We found that BASEGRAIN and PebbleCountsAuto underestimated grain sizes on average, whereas GALET generally overestimated grain size percentiles. Grain size measurements obtained by manually labelling grain features were consistent with in‐field measurements.
Impact of brain parcellation on prediction performance in models of cognition and demographics
Authors: Litwińczuk Marta Czime , Muhlert Nils , Trujillo‐Barreto Nelson , Woollams Anna 
Published: February 2024

AbstractBrain connectivity analysis begins with the selection of a parcellation scheme that will define brain regions as nodes of a network whose connections will be studied. Brain connectivity has already been used in predictive modelling of cognition, but it remains unclear if the resolution of the parcellation used can systematically impact the predictive model performance. In this work, structural, functional and combined connectivity were each defined with five different parcellation schemes. The resolution and modality of the parcellation schemes were varied. Each connectivity defined with each parcellation was used to predict individual differences in age, education, sex, executive function, self‐regulation, language, encoding and sequence processing. It was found that low‐resolution functional parcellation consistently performed above chance at producing generalisable models of both demographics and cognition. However, no single parcellation scheme showed a superior predictive performance across all cognitive domains and demographics. In addition, although parcellation schemes impacted the graph theory measures of each connectivity type (structural, functional and combined), these differences did not account for the out‐of‐sample predictive performance of the models. Taken together, these findings demonstrate that while high‐resolution parcellations may be beneficial for modelling specific individual differences, partial voluming of signals produced by the higher resolution of the parcellation likely disrupts model generalisability.
A prediction model for response to immune checkpoint inhibition in advanced melanoma
Authors: van Duin Isabella A. J. , Verheijden Rik J. , van Diest Paul J. , Blokx Willeke A. M. , El‐Sharouni Mary‐Ann , Verhoeff Joost J. C. , Leiner Tim , van den Eertwegh Alfonsus J. M. , de Groot Jan Willem B. , van Not Olivier J. , Aarts Maureen J. B. , van den Berkmortel Franchette W. P. J. , Blank Christian U. , Haanen John B. A. G. , Hospers Geke A. P. , Piersma Djura , van Rijn Rozemarijn S. , van der Veldt Astrid A. M. , Vreugdenhil Gerard , Wouters Michel W. J. M. , Stevense‐den Boer Marion A. M. , Boers‐Sonderen Marye J. , Kapiteijn Ellen , Suijkerbuijk Karijn P. M. , Elias Sjoerd G. 
Published: February 2024

AbstractPredicting who will benefit from treatment with immune checkpoint inhibition (ICI) in patients with advanced melanoma is challenging. We developed a multivariable prediction model for response to ICI, using routinely available clinical data including primary melanoma characteristics. We used a population‐based cohort of 3525 patients with advanced cutaneous melanoma treated with anti‐PD‐1‐based therapy. Our prediction model for predicting response within 6 months after ICI initiation was internally validated with bootstrap resampling. Performance evaluation included calibration, discrimination and internal–external cross‐validation. Included patients received anti‐PD‐1 monotherapy (n = 2366) or ipilimumab plus nivolumab (n = 1159) in any treatment line. The model included serum lactate dehydrogenase, World Health Organization performance score, type and line of ICI, disease stage and time to first distant recurrence—all at start of ICI—, and location and type of primary melanoma, the presence of satellites and/or in‐transit metastases at primary diagnosis and sex. The over‐optimism adjusted area under the receiver operating characteristic was 0.66 (95% CI: 0.64–0.66). The range of predicted response probabilities was 7%–81%. Based on these probabilities, patients were categorized into quartiles. Compared to the lowest response quartile, patients in the highest quartile had a significantly longer median progression‐free survival (20.0 vs 2.8 months; P < .001) and median overall survival (62.0 vs 8.0 months; P < .001). Our prediction model, based on routinely available clinical variables and primary melanoma characteristics, predicts response to ICI in patients with advanced melanoma and discriminates well between treated patients with a very good and very poor prognosis.
The relationship between active/passive smoking and spontaneous preterm birth: Data from a multicenter study
Authors: Cavichiolli F. S. , Borovac‐Pinheiro A. , Lajos G. J. , Becker Mario , Passini R. ,   Brazilian Multicenter Study on Preterm Birth Study Group
Published: February 2024

AbstractBackgroundPrematurity is considered to be the leading cause of death in children under 5 years of age, with one child dying every 2 s. Smoking is known to be one of the factors associated with prematurity, with both immediate and late consequences. However, it is difficult to obtain concrete data on the relationship between smoking and spontaneous preterm birth.ObjectiveThe aim of this study was to evaluate the influence of active and passive smoking on spontaneous preterm birth.MethodsThis was a multicenter, cross‐sectional complementary study that included data on preterm births in 20 maternity hospitals in Brazil between 2011 and 2012. The relationship between smoking category (people who smoke [PWS]; people who smoke indirectly [PWSI]; and people who do not smoke [PWDNS]) and sociodemographic characteristics, birth, and neonatal data was assessed. Statistical analysis was performed using frequencies, percentages, the χ2 test, and stepwise comparisons, with a significance level of 5%.ResultsThe original study included 5295 pregnant participants and their preterm infants. There were 1491 spontaneous preterm births (SPBs); 1191 preterm rupture of membranes; 1468 therapeutic preterm births; and 1146 term births. The proportion of women who were PWS during pregnancy was 13.5%, and 31.6% were PWSI. Pregnant individuals who smoked and who smoked indirectly had a higher incidence of SPBs (61.2%) compared with PWDNS (48.4%; P < 0.0001); however, multivariate analysis did not confirm causality.ConclusionsThis study did not confirm that smoking during pregnancy increases the risk of SPB. PWSI also did not have an increased incidence of spontaneous preterm birth or adverse neonatal outcomes.
Estimation of loss in arable land and irrigation requirements using high‐resolution imagery and Google Earth Engine
Authors: Farooq Majid , Mushtaq Fayma , Yousuf Ubaid 
Published: February 2024

AbstractWater resources planning and management are critical in intricate basins such as the Indus Basin, shared by India and Pakistan under the Indus Water Treaty (IWT) for food security, conserving the environment, sustainable economic development and supporting livelihoods. The present study assesses arable land loss within the Padshahi and Sindh Extension (SE) canal catchments over 54 years, utilizing high‐resolution satellite imagery and Google Earth Engine's normalized difference vegetation index (NDVI) derivations for strategizing irrigation efficiency, minimizing water loss and ensuring sustainable utilization of limited water resources under the IWT. Results revealed that irrigated land has decreased from 5127 ha (1966) to 3501 ha (2020) in both canals. The Padshahi canal sees substantial loss (1278 ha), primarily due to the highest transitions from agricultural land/crop land (−69%) to built‐up areas. The SE canal, experiencing shifts to horticulture and plantation, records relatively fewer changes in built‐up areas (348 ha). The monthly variation in the NDVI clearly depicted the high demand for irrigation to cater to agricultural lands with the onset of the sowing season for paddy in the Padshahi (1900 ha) and SE (2600 ha) canals in May.
Enzyme‐functionalized hydrogel film for extracorporeal uric acid reduction
Authors: Pantakitcharoenkul Jaturavit , Touma Jad , Jovanovic Goran , Coblyn Matthew 
Published: February 2024

AbstractEnzyme replacement therapy for hyperuricemia treatment has been proven effective for critical state hyperuricemia patients. Still, direct administration of recombinant uricase can induce several fatal side effects. To circumvent this drawback, hydrogel protein carriers can be used in platforms for extracorporeal treatment such as microscale‐based devices. In this work, calcium alginate and poly‐(vinyl alcohol) hydrogel films were studied for their urate oxidase immobilization and uric acid reduction, which could be implemented in microscale‐based extracorporeal devices. A mathematical model was developed in conjunction with uric acid reduction experiments to evaluate the influence of mass transfer and reaction parameters in the Michaelis–Menten kinetic expression. Alginate hydrogels prepared with crosslinker 1‐ethyl‐3‐(3‐dimethylaminopropyl) carbodiimide and N‐(hydroxysuccinimide) offered superior diffusivity of uric acid in the gel matrix at the maximum value of 1.98 × 10−11 m2/s compared with alginate prepared solely from ionic crosslinking with  5.31 × 10−12 m2/s at the same alginate concentration. The maximum value of νmax was experimentally determined at 7.78 × 10−5 mol/(m3s). A 3% sodium alginate hydrogel with crosslinkers yielded the highest reduction of uric acid at 92.70%. The mathematical model demonstrated an excellent prediction of uric acid conversion suggesting potential use of the model for formulation and maximizing the therapeutic performance of functionalized hydrogels.
Development, characterization, and biological study of bioglass coatings 45S5 and BioK on zirconia implant surfaces
Authors: Avelino Sarah de Oliveira Marco , Alvares Sobral‐Silva Leonardo , Thim Gilmar Patrocínio , de Almeida‐Silva Luis Augusto , dos Santos Lupp Juliana , Campos Tiago Moreira Bastos , de Vasconcellos Luana Marotta Reis 
Published: February 2024

AbstractZirconia implants are gaining attention as a viable alternative to titanium implants due to their comparable osseointegration development, improved soft tissue adaptation, and enhanced aesthetics. An encouraging avenue for improving zirconia implant properties involves the potential application of bioactive coatings to their surfaces. These coatings have shown potential for inducing hydroxyapatite formation, crucial for bone proliferation, and improving implant mechanical properties. This study aimed to evaluate the effect of coating zirconia implants with two bioactive glasses, 45S5 and BioK, on osteogenesis in vitro and osseointegration in vivo. Zirconia samples and implants were prepared using Zpex zirconia powder and blocks, respectively. The samples were divided into three groups: polished zirconia (ZRC), zirconia coated with 45S5 bioglass (Z + 45S5), and zirconia coated with BioK glass (Z + BK). Coatings were applied using a brush and sintered at 1200°C. Chemical analysis of the coatings was carried out using x‐ray diffraction and Fourier Transform Infrared Spectroscopy. Surface topography and roughness were characterized using scanning electron microscopy and a roughness meter. In vitro experiments used mesenchymal cells from Wistar rat femurs, and the coated zirconia implants were found to promote cell viability, protein synthesis, alkaline phosphatase activity, and mineralization, indicating enhanced osteogenesis. In vivo experiments with 18 rats showed positive results for bone formation and osseointegration through histological and histomorphometric analysis and a push‐out test. The findings indicate that bioactive glass coatings have the potential to improve cell differentiation, bone formation, and osseointegration in zirconia implants.
Screening candidate diagnostic biomarkers for diabetic kidney disease
Authors: Huang Xinying , Zhang Hui , Liu Jihong , Yang Xuejiao , Liu Zijie 
Published: February 2024

AbstractBackgroundThere are big differences in treatments and prognosis between diabetic kidney disease (DKD) and non‐diabetic renal disease (NDRD). However, DKD patients couldn't be diagnosed early due to lack of special biomarkers. Urine is an ideal non‐invasive sample for screening DKD biomarkers. This study aims to explore DKD special biomarkers by urinary proteomics.Materials and MethodsAccording to the result of renal biopsy, 142 type 2 diabetes mellitus (T2DM) patients were divided into 2 groups: DKD (n = 83) and NDRD (n = 59). Ten patients were selected from each group to define urinary protein profiles by label‐free quantitative proteomics. The candidate proteins were further verifyied by parallel reaction monitoring (PRM) methods (n = 40). Proteins which perform the same trend both in PRM and proteomics were verified by enzyme‐linked immunosorbent assays (ELISA) with expanding the sample size (n = 82). The area under the receiver operating characteristic curve (AUC) was used to evaluate the accuracy of diagnostic biomarkers.ResultsWe identified 417 peptides in urinary proteins showing significant difference between DKD and NDRD. PRM verification identified C7, SERPINA4, IGHG1, SEMG2, PGLS, GGT1, CDH2, CDH1 was consistent with the proteomic results and p < 0.05. Three potential biomarkers for DKD, C7, SERPINA4, and gGT1, were verified by ELISA. The combinatied SERPINA4/Ucr and gGT1/Ucr (AUC = 0.758, p = 0.001) displayed higher diagnostic efficiency than C7/Ucr (AUC = 0.632, p = 0.048), SERPINA4/Ucr (AUC = 0.661, p = 0.032), and gGT1/Ucr (AUC = 0.661, p = 0.029) respectively.ConclusionsThe combined index SERPINA4/Ucr and gGT1/Ucr can be considered as candidate biomarkers for diabetic nephropathy after adjusting by urine creatinine.