bluuebunny/crossref_metadata_2025_split huggingface dataset:
From Weed to Shining ‘Mystic Stars’: Value‐Added Applications of Siam Weed Derived Carbon Dots
Authors: Pallilavalappil Sreedhanya , Raveendran Varsha P. T. , Kizhakayil Renuka Neeroli 
Published: May 2022

AbstractHerein, a common weed Chromolaena odorata (C. Odorata, Siam weed) is utilized as a precursor for synthesizing carbon dots (CO‐CDs) via a facile hydrothermal method devoid of further functionalization. CO‐CDs possess good water solubility, high photo stability, and intense blue fluorescence with a quantum yield of 2.56 %. Fluorescence of the as‐prepared carbon dots is quenched consequent to interaction with folic acid with high specificity, which enabled its service as an admirable probe for folic acid analysis. The limit of detection (LOD) of folic acid was noted to be 4.5 μM. The mechanism of fluorescence quenching is substantiated through the inner filter effect. The practical utility of the system is assured through analysis of folic acid in commercial samples, with an average range of 90–102 % recovery. Additionally, CO‐CDs are also established to be excellent radical scavengers.
Revitalisierung und Umbau einer denkmalgeschützten Scheune in Gerswalde, Uckermark
Authors: Mommert Jan , Fanelsa Niklas 
Published: May 2022

AbstractDer ländliche Raum außerhalb größerer Städte mit ihren Speckgürteln erlebt derzeit eine Renaissance. Die Potenziale an Bausubstanz und örtlichen Strukturen des Gemeinwesens bleiben hierbei in Teilen oft ungenutzt – bieten sie doch einen Mehrwert abseits der üblichen architektonischen Lösungen für Wohn‐ oder Gewerbenutzungen. Das nachfolgend vorgestellte Praxisbeispiel beschreibt Prozess und konstruktive Maßnahmen der Wiedernutzbarmachung einer denkmalgeschützten und stark baufälligen Scheune. Mittels einer, hinsichtlich des minimalen zusätzlichen (Raum‐)Volumenverbrauchs, hocheffizienten Stahlkonstruktion konnte das Gebäude stabilisiert und durch Rückbau der Innenwände die Nutzungsflexibilität erhöht werden. Das Planungsteam setzte sich hierbei erfolgreich mit den gegenwärtig relevanten Themen des Baugeschehens und der Baukultur auseinander: Revitalisierung sowohl auf Gebäudeebene durch die Wiedernutzbarmachung einer Ruine als auch in dörflichem Maßstab durch die Ergänzung durch attraktives und v. a. aktives Gewerbe in der Gemeinde; re‐use von vorhandener grauer Energie; kreislaufgerechtes Bauen durch entsprechende Materialwahl und Fügungen; Reduzierung auf wesentliche bauliche Intervention zur Nutzbarmachung des Bestands; regionale Partizipation durch Einbindung lokaler Handwerksbetriebe in Workshops und in die bauliche Umsetzung; interdisziplinäre Zusammenarbeit bei gewerkeübergreifender und ganzheitlich simultaner Planung von Konzept, Detail und Bauzuständen.
Prediction of the local buckling strength and load‐displacement behaviour of SHS and RHS members using Deep Neural Networks (DNN) – Introduction to the Deep Neural Network Direct Stiffness Method (DNN‐DSM)
Authors: Müller Andreas , Taras Andreas 
Published: May 2022

AbstractThe traditional separation of analysis and verification during the structural design of steel structures is a known source of conservatism and inaccuracy, as the true deformation/rotation capacity of sections and the redistribution of internal forces in systems remains only vaguely known in many cases. This particularly affects structures made of high‐strength steel, since often sections would need to be classified as slender, thus disallowing the possibility to account for plasticity and stress redistribution. Shell‐element FEM‐models with material nonlinearities and imperfections would be suitable to overcome this separation and increase the accuracy and economy of designs, yet are computationally intensive and impractical for design of whole structures. In this paper, a novel approach for carrying out a computationally economical beam‐element analysis that accounts for the nonlinear load‐displacement behaviour of sections of various local slenderness is presented: the ”DNN‐DSM“, which makes use of machine learning techniques (deep neural networks – DNN) to predict the nonlinear stiffness matrix terms in a beam‐element formulation for implementation in the Direct Stiffness Method. Based on trained DNN models from an extensive pool of nonlinear (GMNIA) shell element results. The motivation, general features, and first implementations of this method in the sense of a ”proof‐of‐concept“, for the case of hollow‐section truss members, are presented in the paper, as well as an outlook on the method's on‐going, full implementation.
Experimental study on the correlation between mechanical properties of concrete and interface strength of coarse aggregate mortar under freezing–thawing
Authors: Gong Xu , Yu Hongfa , Wu Chengyou 
Published: May 2022

AbstractThe frost resistance of concrete is an essential evaluation index in cold areas; however, quantitative analyses of macroscopic mechanical properties and interfacial strength of concrete under freeze–thaw (F–T) action are scarce. Based on rapid F–T cycle tests of concrete, mortar, and interface specimens, with limestone, quartz, and basalt as variables, the internal damage and basic mechanical properties of specimens under F–T action were obtained. Furthermore, the quantitative relationship between the mechanical properties of the specimens, and between the internal damage and the basic mechanical properties of specimens under F–T action was established. The results showed that the properties of a coarse aggregate–mortar interface affected the mechanical properties and frost resistance of concrete specimens to a certain extent. After F–T action, the internal structure of the specimen tended to be loose, and the specimen was in a frozen state. The degree of damage on concrete specimens was more substantial than that on mortar ones. Quantitative analysis also indicated that the F–T erosion of concrete was mainly caused by the damage in the interface transition zone between the coarse aggregate and mortar.
Brain simulation augments machine‐learning–based classification of dementia
Authors: Triebkorn Paul , Stefanovski Leon , Dhindsa Kiret , Diaz‐Cortes Margarita‐Arimatea , Bey Patrik , Bülau Konstantin , Pai Roopa , Spiegler Andreas , Solodkin Ana , Jirsa Viktor , McIntosh Anthony Randal , Ritter Petra ,   for the Alzheimer's Disease Neuroimaging Initiative
Published: May 2022

ABSTRACTIntroductionComputational brain network modeling using The Virtual Brain (TVB) simulation platform acts synergistically with machine learning (ML) and multi‐modal neuroimaging to reveal mechanisms and improve diagnostics in Alzheimer's disease (AD).MethodsWe enhance large‐scale whole‐brain simulation in TVB with a cause‐and‐effect model linking local amyloid beta (Aβ) positron emission tomography (PET) with altered excitability. We use PET and magnetic resonance imaging (MRI) data from 33 participants of the Alzheimer's Disease Neuroimaging Initiative (ADNI3) combined with frequency compositions of TVB‐simulated local field potentials (LFP) for ML classification.ResultsThe combination of empirical neuroimaging features and simulated LFPs significantly outperformed the classification accuracy of empirical data alone by about 10% (weighted F1‐score empirical 64.34% vs. combined 74.28%). Informative features showed high biological plausibility regarding the AD‐typical spatial distribution.DiscussionThe cause‐and‐effect implementation of local hyperexcitation caused by Aβ can improve the ML–driven classification of AD and demonstrates TVB's ability to decode information in empirical data using connectivity‐based brain simulation.
Choroid plexus carcinoma in a dog—Case report
Authors: de Witt Anika A. , Lewis Michelle , Schoeman Johan P. 
Published: May 2022

AbstractObtaining a conclusive definitive diagnosis for an intra‐ventricular tumour in a dog can be challenging. In doing so, all differential diagnoses should be considered. Differentiation between choroid plexus tumours (CPTs) (a choroid plexus papilloma, atypical choroid plexus papilloma or choroid plexus carcinoma) and gliomas, including ependymoma, oligodendroglioma and astrocytoma should be considered. Histopathologic features and immunohistochemistry are essential in the differentiation between intra‐ventricular tumours. A 4‐year‐old Boerboel dog presented with a left head tilt and a wide range of nonspecific clinical abnormalities not limited to weight loss, depression and marked bradycardia. MRI proved useful in providing a diagnosis of an intra‐ventricular tumour and demonstrated the potential of choroid plexus carcinomas (CPCs) to metastasize. In this case, the histological features displayed malignancy with invasion into the neuroparenchyma, drop metastasis and immunohistochemistry with E‐cadherin‐positive result that assisted with differentiation of CPC from other tumours.
Vanishing Gilbert damping limit problem of Landau–Lifshitz–Gilbert equation
Authors: Song Wenjing , Yang Ganshan 
Published: May 2022

AbstractThe vanishing Gilbert damping limit problem of the Landau–Lifshitz–Gilbert (LLG) equation has been an open problem for a long time, and even the explicit dynamic solution of LLG equation has not been seen so far. In this paper, a necessary and sufficient condition for a solution of Landau–Lifshitz (LL) equation to be generalized to a solution of LLG equation is given. Moreover, some explicit dynamic solutions of LLG equation are constructed. These solutions show that a solution of LLG equation with Gilbert damping does not necessarily tend to a solution of LL equation without Gilbert damping in the sense of maximum modulus.
Constraints on cosmologies inside black holes
Authors: Fallows Seamus , Ross Simon F. 
Published: May 2022

Abstract
We study the construction of holographic models with closed FRW cosmologies on the worldvolume of a constant-tension brane inside a Schwarzschild-AdS black hole. In dimensions d > 2, having a smooth Euclidean solution where the brane does not self-intersect limits the brane tension to T < T*, preventing us from realising a separation of scales between the brane and bulk curvature scales. We show that adding interface branes to this model does not relax the condition on the brane tension.
Applying rosemary extract and caffeic acid to modify the composition of Monastrell wines
Authors: Anaya Juan Alberto , Lizama Victoria , García María José , Álvarez Inmaculada 
Published: May 2022

AbstractThis work studies the effect of applying rosemary extract and caffeic acid on the polyphenolic and aromatic composition of Monastrell wines, as well as the influence of traditional winemaking or incorporating prefermentative maceration. For this purpose, three treatments were carried out in triplicate. In one of them, rosemary extract was applied on the clusters 10 days before harvest, caffeic acid was applied in the same way in another, and, finally, this acid was applied to grape before crushing. Each treatment was run by both traditional vinification and vinification with prefermentative maceration. After making wines, they were monitored for 12 months after fermentation. The application of rosemary extract, and that of caffeic acid but to a lesser extent, increased the color, the concentration of anthocyanins, and the percentage of polymerized anthocyanins, while prefermentation maceration gave rise to wines with a higher concentration of condensed tannins and polyphenols. Applying rosemary extract and caffeic acid in the vineyard also increased the concentration of esters and other compounds that favor wine aromatic quality, which was also enhanced by prefermentative maceration.
Phonatory function and characteristics of voice in recovering COVID-19 survivors
Authors: Yasien Dalia G. , Hassan Eman S. , Mohamed Hanan A. 
Published: May 2022

Abstract
Introduction
This study aimed to evaluate the phonatory function of recovered COVID-19 survivors. The universal outbreak of COVID-19 led to the occurrence of otolaryngological manifestations that raised concerns about the assessment of the phonatory function in recovering patients.

Methods
This is a prospective, cross-sectional, case-controlled study carried out on 364 laboratory-confirmed non-critical COVID-19 survivors and 100 as healthy controls. The study participants were classified into two groups according to the disease severity. Group1 comprised 212 survivors who recovered from pneumonia and group 2 was made up of 152 survivors of severe pneumonia. All patients were subjected to an auditory perceptual assessment of the voice (APA) and Maximum Phonation Time (MPT) measurements.

Results
Phonasthenic manifestations were significantly more frequent in COVID-19 survivors than in controls (P < 0.000) with a higher percentage recorded among severe pneumonia survivors (87.5%) than among pneumonia survivors (60.8%) with a P value of < 0.01. Dysphonia and excessively soft loudness were significantly more common among survivors than among controls (P < 0.002 and P < 0.000, respectively) with no significant difference between the patient groups. The MPT was significantly shorter among survivors than among controls (P < 0.000). The mean MPT was 15.97 s in the control group, 10.72 s in the pneumonia group, and 8.88 s in the severe pneumonia group, with the differences between the groups being statistically significant (P < 0.000), suggesting a higher impairment of lung volume and phonatory function in severe cases.

Conclusions
Phonasthenia, dysphonia, and decreased MPT could be otolaryngological manifestations of COVID-19. Laryngeal function assessment should be considered in COVID-19 survivors.
New-onset and relapse of nephrotic syndrome following COVID-19 vaccination: a questionnaire survey in Japan
Authors: Nakagawa Naoki , Maruyama Shoichi , Kashihara Naoki , Narita Ichiei , Isaka Yoshitaka 
Published: May 2022

Abstract
Background
Recent clinical reports indicate a correlation between new-onset and relapse of nephrotic syndrome (NS) following coronavirus 2019 (COVID-19) vaccination in patients with glomerular diseases. However, there are no reports of a nationwide survey on NS following COVID-19 vaccination in Japan.

Methods
We conducted a web-based survey of council members of the Japanese Society of Nephrology (581 members, 382 facilities) to elucidate the relationship between COVID-19 vaccination and new-onset and relapse of NS.

Results
Following COVID-19 vaccination, 27 patients (male: 15, 55.6%) with new-onset (n = 6) and relapse (n = 21) of NS were reported. Of them, 12 (44.4%) patients were diagnosed with minimal change disease at the occurrence of NS. Five patients developed a slight increase in serum creatinine levels; however, none progressed to severe renal dysfunction.

Conclusion
Our findings clarify the clinical features of new-onset and relapse of NS following COVID-19 vaccination. Although there was no obvious progression to severe renal dysfunction, clinicians and pathologists should be aware that NS is a potential adverse effect of the vaccines.
Tail risk connectedness in clean energy and oil financial market
Authors: Foglia Matteo , Angelini Eliana , Huynh Toan Luu Duc 
Published: May 2022

AbstractThis research investigates the connectedness and the tail risk spillover between clean energy and oil firms, from January 2011 to October 2021. To this, we use the Tail-Event driven NETworks (TENET) risk model. This approach allows for a measurement of the dynamics of tail-risk spillover for each sector and firm. Hence, we can provide a detailed picture of the existing extreme relationships within these markets. We find that the total connection between the markets varies during the period analysed, showing how the uncertainty in oil price plays a critical role in the risk dynamics for oil companies. Also, we find that relationships between energy firms tend to be intrasectoral; that is, each sector receives (emits) risk from (to) itself. These results can have important practical implications for risk management and policymakers.
Assessing the contribution of farmers’ working conditions to productive efficiency in the presence of uncertainty, a nonparametric approach
Authors: Ait Sidhoum Amer 
Published: May 2022

AbstractThis article investigates the contribution of farmers’ working conditions to production efficiency under state-contingent production uncertainty. Directional distance function is used to estimate efficiency scores and input shadow prices for 180 Spanish crop farms in 2015. Results suggest that shadow prices vary considerably between the different states of nature, suggesting why incorporating the stochastic production specification is important. The present study provides evidence of the important contribution of working conditions to technical efficiency. Thus, improved working conditions have the potential to help farms to progress toward sustainable agriculture.
Prior Information in Frequentist Research Designs: The Case of Neyman’s Sampling Theory
Authors: Kubiak Adam P. , Kawalec Paweł 
Published: May 2022

AbstractWe analyse the issue of using prior information in frequentist statistical inference. For that purpose, we scrutinise different kinds of sampling designs in Jerzy Neyman’s theory to reveal a variety of ways to explicitly and objectively engage with prior information. Further, we turn to the debate on sampling paradigms (design-based vs. model-based approaches) to argue that Neyman’s theory supports an argument for the intermediate approach in the frequentism vs. Bayesianism debate. We also demonstrate that Neyman’s theory, by allowing non-epistemic values to influence evidence collection and formulation of statistical conclusions, does not compromise the epistemic reliability of the procedures and may improve it. This undermines the value-free ideal of scientific inference.
Single system for online monitoring and inspection of automated fiber placement with object segmentation by artificial neural networks
Authors: Brysch Marco , Bahar Mohammad , Hohensee Hans Christoph , Sinapius Michael 
Published: May 2022

AbstractThe reduction of material defects in the automated fiber placement process is one of the significant factors for manufacturing large and complex components more efficiently in the future. However, the monitoring of complex manufacturing processes usually requires complex sensor and computer systems that are often quite sensitive to disturbances and errors. New techniques such as image segmentation with neural networks provide a new approach to this problem and have the potential to solve complex processes faster and more robustly. In this study, a system is presented that performs monitoring, inspection and measurement tasks simultaneously in automated fiber placement processes. The system is based on the SiamMask network which is used for the automatic image processing. The artificial neural network is trained to recognize individual carbon fiber tapes and segment them for additional analysis. For the creation of the testing- and training data, an analytical approach is presented. The post-processing of the object segmentation, which is the primary output of the SiamMask network and the identification of individual tapes, provides accurate measurements which are demonstrated by an example. We show that image segmentation with modern approaches like SiamMask offers great potential to handle highly complex engineering tasks in a faster and more intelligent manner in comparison to conventional methods.
Retrospective, Landmark Analysis of Long-term Adult Morbidity Following Allogeneic HSCT for Inborn Errors of Immunity in Infancy and Childhood
Authors: Day James W. , Elfeky Reem , Nicholson Bethany , Goodman Rupert , Pearce Rachel , Fox Thomas A. , Worth Austen , Booth Claire , Veys Paul , Carpenter Ben , Hough Rachael , Gaspar H. Bobby , Titman Penny , Ridout Deborah , Workman Sarita , Hernandes Fernando , Sandford Kit , Laurence Arian , Campbell Mari , Burns Siobhan O. , Morris Emma C. 
Published: May 2022

Abstract

Purpose

Allogeneic hematopoietic stem cell transplant (HSCT) remains the treatment of choice for patients with inborn errors of immunity (IEI). There is little published medical outcome data assessing late medical complications following transition to adult care. We sought to document event-free survival (EFS) in transplanted IEI patients reaching adulthood and describe common late-onset medical complications and factors influencing EFS.

Methods
In this landmark analysis, 83 adults surviving 5 years or more following prior HSCT in childhood for IEI were recruited. The primary endpoint was event-free survival, defined as time post-first HSCT to graft failure, graft rejection, chronic infection, life-threatening or recurrent infections, malignancy, significant autoimmune disease, moderate to severe GVHD or major organ dysfunction. All events occurring less than 5 years post-HSCT were excluded.

Results
EFS was 51% for the whole cohort at a median of 20 years post HSCT. Multivariable analysis identified age at transplant and whole blood chimerism as independent predictors of long-term EFS. Year of HSCT, donor, conditioning intensity and underlying diagnosis had no significant impact on EFS. 59 events occurring beyond 5 years post-HSCT were documented in 37 patients (45% cohort). A total of 25 patients (30% cohort) experienced ongoing significant complications requiring active medical intervention at last follow-up.

Conclusion
Although most patients achieved excellent, durable immune reconstitution with infrequent transplant-related complications, very late complications are common and associated with mixed chimerism post-HSCT. Early intervention to correct mixed chimerism may improve long-term outcomes and adult health following HSCT for IEI in childhood.
A Re-evaluation of Candidate Gene Studies for Well-Being in Light of Genome-Wide Evidence
Authors: van de Weijer Margot P. , Pelt Dirk H. M. , de Vries Lianne P. , Baselmans Bart M. L. , Bartels Meike 
Published: May 2022

AbstractEver since twin-family studies found that a substantial amount (± 40%) of the variation in well-being can be explained by genetic variation, several candidate genes have been proposed explaining this variation. However, these candidate gene and candidate gene-by-environment interaction studies have been surrounded by controversy regarding the validity and replication of their results. In the present study, we review the existing candidate gene literature for well-being. First, we perform a systematic literature search that results in the inclusion of 41 studies. After describing the results of the included studies, we evaluated the included candidate polymorphisms by (1) looking up the results for the studied candidate SNPs in a large well-being genome-wide association study, (2) performing association analyses in UK biobank (UKB) data for the candidate variable number tandem repeats (VNTR) and the APOE ε4 allele, and (3) studying possible candidate interactions with positive and negative environmental moderators using UKB data. We find no support for any of the candidate genes or candidate gene-environment interactions for well-being, with the exception of two SNPs that were chosen based on genome-wide evidence. While the generalizability of our findings is limited by our phenotype and environment definitions, we strongly advise well-being researchers to abandon the candidate gene approach in the field of well-being and move toward genome-wide approaches.