bluuebunny/crossref_metadata_2025_split huggingface dataset:
Primary amines as new carbonyl surrogate in Kabachnik‐fields reaction: A new metal free one pot approach to synthesize α‐Aminophosphonates in water
Authors: Malik Asif A , Ara Tabassum 
Published: November 2022

AbstractA new and green strategy to synthesize α‐aminophosphonates has been developed using benzyl amines as carbonyl alternates. The method involves oxidative deamination of benzyl amines to produce in situ aldehyde intermediate which is then directly converted into aminophosphonates by coupling with aryl amines and trialkylphosphite. The synthesis offers a green alternative strategy which involves benzyl amines as useful carbonyl surrogate and their possible application in multicomponent reactions to synthesize value added products like aminophosphonates. The methodology has a wide substrate scope and functional group compatibility. Further, the synthesis uses aqueous hydrogen peroxide (H2O2) as a green oxidant and enables to synthesize these products under mild and metal‐free conditions in water as a medium.
NFVLearn: A multi‐resource, long short‐term memory‐based virtual network function resource usage prediction architecture
Authors: St‐Onge Cédric , Kara Nadjia , Edstrom Claes 
Published: November 2022

AbstractVirtual resource load prediction in network function virtualization (NFV) is the subject of intense research due to its crucial role in enabling proactive resource adaptation in dynamic NFV environments whose resource demand constantly changes. Several long short‐term memory (LSTM)‐based approaches have been proposed to forecast the resource load of multiple resource attributes of a virtual network function (VNF) in a service function chain (SFC). In this article, we present NFVLearn, a flexible multivariate, many‐to‐many LSTM‐based model which uses different types of resource load history (CPU, memory, I/O bandwidth) from various VNFs of an SFC to predict future loads of multiple resources of a VNF. We then compare four novel automated input selection frameworks for NFVLearn. Simulations on those frameworks based on graph neural networks, Pearson correlation coefficient, Spearman rank correlation coefficient, and Kendall rank correlation coefficient demonstrate that models using lesser, highly correlated input features retain high prediction root mean squared error accuracy and coefficients of determination scores by leveraging resource attribute inter‐dependencies from the SFC. Those results show that resource attribute interdependency‐based input feature selection frameworks can reduce overhead in the control plane while keeping high accuracy and high fidelity resource load prediction of multiple resource attributes.
Performance of Starch Gels on In Vitro Enzymatic Hydrolysis Assessed by Rheological Methodologies
Authors: Santamaria Maria , Montes Leticia , Garzon Raquel , Moreira Ramón , Rosell Cristina M. 
Published: November 2022

AbstractStarch hydrolysis is attracting much attention due to its relationship to digestion and glucose release. The objective is to propose rapid and continuous analytical methods that allow measuring gels hydrolysis following apparent viscosity (μ). Three different starches (corn, wheat, and rice) are tested recording starch gelatinization followed by gels digestions (digestograms) using a rapid‐visco analyzer (RVA) or a rheometer. Results are compared with those obtained by measuring glucose release along hydrolysis. A modified first‐order kinetic model in the RVA (R2 > 0.99) and rheometer (R2 > 0.99) describes the gels digestograms. Wheat gel shows a higher hydrolysis rate (k), which indicates faster digestion followed by rice and corn gels. The proposed models allow rapid analysis of starch digestograms, allowing to discriminate among hydrolysis rate of different starches. These less time‐consuming methods can be an option to continuously analyze starch gelatinization followed by enzymatic digestion.
Experimental investigation of rock–shotcrete interface damage under dynamic splitting using digital image correlation and acoustic emission
Authors: Chen Xudong , Hu Liangpeng , Chen Zhang , Ning Yingjie , Guo Yuzhu 
Published: November 2022

AbstractInterface failure is the main type of rock–concrete structure failure, which affects the stability and safety. To study the interface crack propagation and damage characteristics, this article carried out the rock–shotcrete cube interface splitting test under different loading rates. The rock–shotcrete specimens are composed of four material types. Based on the nondestructive monitoring technology, digital image correlation and acoustic emission (AE) were used to monitor the whole process of splitting failure. The results indicate that, both peak load and critical displacement exhibit significant strain rate effects. The main stage of interfacial microcrack development is between 0.8 Pmax and Pmax. And the damage evolution of cracks is more sufficient and stable under low loading rate. The splitting damage at the rock–shotcrete interface shows phased characteristics. When the load is near the peak, the surge of the AE signal indicates that the damage is intensified.
Relationship between internal relative humidity and autogenous shrinkage of early‐age concrete containing prewetted lightweight aggregates
Authors: Wen Chuyuan , Shen Dejian , Feng Zhizhuo , Liu Ci , Deng Shucheng 
Published: November 2022

AbstractInternal curing (IC) agents such as prewetted lightweight aggregates (LWAs) have been proved to be advantageous in reducing the autogenous shrinkage and early‐age cracking of concrete by introducing additional water. Quantitative analyses of internal relative humidity (IRH) of concrete are essential to better estimate the autogenous shrinkage of early‐age concrete. Existing studies investigate the IRH or autogenous shrinkage of early‐age concrete, respectively; however, the relevance between them of concrete containing prewetted LWAs remain lacking. Accordingly, the IRH, autogenous shrinkage, and the correlation between them for early‐age concrete with various LWAs replacement ratios were investigated. A noncontact device was utilized to measure the IRH and autogenous shrinkage of concrete simultaneously. Test results suggested that: (1) the absolute value of the maximum expansion increased from 0 με to 20, 50, and 96 με when the proportion of prewetted LWAs increased from 0% to 10%, 30%, and 50%, respectively; (2) compared with Mixture LWA00, the autogenous shrinkage at 28 days decreased by 14.7%, 36.3%, and 62.6% for Mixture LWA10, LWA30, and LWA50, respectively; (3) the IRH at 28 days or the critical time of IRH was 88.7%, 90.1%, 93.2%, and 95.9% RH or 5, 6, 8, and 10 days for Mixture LWA00, LWA10, LWA30, and LWA50, respectively; (4) a prediction model for the evaluation of the autogenous shrinkage was constructed based on IRH of early‐age concrete considering the quantity of IC water introduced by various replacement ratios of LWAs.
Evaluation method of shear toughness for steel fiber‐reinforced concrete containing recycled coarse aggregate
Authors: Yan Yongming , Gao Danying , Yang Lin , Pang Yuyang , Zhang Yu 
Published: November 2022

AbstractIn this paper, the double‐side direct shear experiments on the specimens with and without grooves were conducted to measure the shear load‐deformation curves of steel fiber‐reinforced concrete containing recycled coarse aggregate (SFRCA). The evaluation method for shear toughness was proposed first, and then the effects of water–cement ratio, replacement ratio of recycled coarse aggregate, volume content of steel fibers, and shear section height on the shear toughness of SFRCA were experimentally analyzed. The results showed that the proposed shear toughness evaluation method could reflect the shear toughness of SFRCA. The effects of the replacement ratio of recycled coarse aggregate and the volume content of steel fiber on the shear toughness of specimens with grooves had the same trend as those of specimens without grooves. The shear toughness ratio of SFRCA increased with the increase of the volume content of steel fibers, and decreased with the increase of water cement ratio and the replacement ratio of recycled coarse aggregate, respectively. Moreover, the residual shear toughness ratio increased almost linearly with increasing water–cement ratio, replacement ratio of recycled coarse aggregate, and volume content of steel fibers, and decreased with the increase of shear deformation, respectively. Finally, the formula for calculating the residual shear toughness ratio of SFRCAC was proposed by fitting the test results.
1α,25‐dihydroxyvitamin D3 supplementation alleviates perfluorooctanesulfonate acid‐induced reproductive injury in male mice: Modulation of Nrf2 mediated oxidative stress response
Authors: Liang Yongchao , Lu Jingjing , Yi Wenjie , Cai Ming , Shi Weiqiang , Li Bingyan , Zhang Zengli , Jiang Fei 
Published: November 2022

AbstractPerfluorooctanesulfonate acid (PFOS) is a typical persistent organic pollutant that widely exists in the environment. To clarify the toxic effects and mechanisms of PFOS and to find effective intervention strategies have been attracted global attention. Here, we investigated the effects of PFOS on the male reproductive system and explored the potential protective role of 1α,25‐dihydroxyvitamin D3 (1α,25(OH)2D3). Our results showed that 1α,25(OH)2D3 intervention significantly improved PFOS‐induced sperm quality decline and testicular damage. Moreover, 1α,25(OH)2D3 aggrandized the total antioxidant capacity. Furthermore, after PFOS exposure, the transcription factor nuclear factor erythroid‐related factor 2 (Nrf2) was adaptively increased together with its target genes, such as HO‐1, NQO1, and SOD2. Meanwhile, 1α,25(OH)2D3 ameliorated PFOS‐induced augment of Nrf2 and target genes. These findings indicated that 1α,25(OH)2D3 might attenuate PFOS‐induced reproductive injury in male mice via Nrf2‐mediated oxidative stress.
Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain
Authors: Tanaka Ryokei , Wu Di , Li Xiaowei , Tibbs‐Cortes Laura E. , Wood Joshua C. , Magallanes‐Lundback Maria , Bornowski Nolan , Hamilton John P. , Vaillancourt Brieanne , Li Xianran , Deason Nicholas T. , Schoenbaum Gregory R. , Buell C. Robin , DellaPenna Dean , Yu Jianming , Gore Michael A. 
Published: November 2022

AbstractWith an essential role in human health, tocochromanols are mostly obtained by consuming seed oils; however, the vitamin E content of the most abundant tocochromanols in maize (Zea mays L.) grain is low. Several large‐effect genes with cis‐acting variants affecting messenger RNA (mRNA) expression are mostly responsible for tocochromanol variation in maize grain, with other relevant associated quantitative trait loci (QTL) yet to be fully resolved. Leveraging existing genomic and transcriptomic information for maize inbreds could improve prediction when selecting for higher vitamin E content. Here, we first evaluated a multikernel genomic best linear unbiased prediction (MK‐GBLUP) approach for modeling known QTL in the prediction of nine tocochromanol grain phenotypes (12–21 QTL per trait) within and between two panels of 1,462 and 242 maize inbred lines. On average, MK‐GBLUP models improved predictive abilities by 7.0–13.6% when compared with GBLUP. In a second approach with a subset of 545 lines from the larger panel, the highest average improvement in predictive ability relative to GBLUP was achieved with a multi‐trait GBLUP model (15.4%) that had a tocochromanol phenotype and transcript abundances in developing grain for a few large‐effect candidate causal genes (1–3 genes per trait) as multiple response variables. Taken together, our study illustrates the enhancement of prediction models when informed by existing biological knowledge pertaining to QTL and candidate causal genes.
Exploring the Purposes of Backmatter in Nonfiction Picturebooks for Children: A Typology
Authors: Cappiello Mary Ann , Hadjioannou Xenia 
Published: November 2022

AbstractNationally and internationally, we face a crisis of misinformation and disinformation (De Jesus & Hubbard, Social Studies, 112(3), 136–145, 2021; Lee & Hosam, Sociological Forum, 35, 996–1008, 2020). Now more than ever, children need to know how authors obtain the information included in nonfiction books. Backmatter simultaneously models informational literacy and engages students more deeply with information, offering them the opportunity to explore further. Through regular explorations of backmatter, students become vicariously immersed in the dynamic processes by which information is created and communicated, normalizing the vetting and utility of information in the public sphere as well as in their own lives. In this article, we offer a brief overview of the evolution of backmatter in nonfiction for young people and propose a typology of backmatter. By highlighting the important, complex roles backmatter serves, we hope to help establish it as an indispensable part of reading a book.
Storylistening: How narrative evidence can improve public reasoning about climate change
Authors: Dillon Sarah , Craig Claire 
Published: November 2022

AbstractStories have cognitive value—listened to carefully and expertly, they provide knowledge. That knowledge is captured and presented in narrative evidence—the product of the expert act of critical engagement with stories, and with others' engagement with stories.Storylisteningis the theory and practice of gathering narrative evidence to inform decision‐making, especially in relation to public reasoning, as part of a pluralistic evidence base. Storylistening is necessary to counter the political deployment of partial, selective, or misinterpreted narrative evidence. There are four ways in which stories can contribute to public reasoning about climate change. Stories play a role in reframing the “idea” of climate change, as well as being integral to many of the new disciplines, perspectives and knowledges drawn in as relevant by that reframing. Stories create and cohere collective identities and climate change beliefs and behavior. Narrative models complement and supplement computational models, creating an ensemble of models that more adequately covers the gaps that result from only deploying big, global, generalized models. Stories play a crucial role in enabling better anticipation for decision‐making, and storylistening can enable the use of narrative evidence from narrative futures methods, as well as perhaps improve the ways scientific evidence about the future is also listened to. Incorporating storylistening into public reasoning about climate change requires the evolution of advisory systems and of the academic humanities, and can play a role in the urgent need to democratize public reasoning about climate change.This article is categorized under:Trans‐disciplinary Perspectives > Humanities and the Creative Arts
Stringy ER = EPR
Authors: Jafferis Daniel Louis , Schneider Elliot 
Published: November 2022

Abstract
The ER = EPR correspondence relates a superposition of entangled, disconnected spacetimes to a connected spacetime with an Einstein-Rosen bridge. We construct examples in which both sides may be described by weakly-coupled string theory. The relation between them is given by a Lorentzian continuation of the FZZ duality of the two-dimensional Euclidean black hole CFT in one example, and in another example by continuation of a similar duality that we propose for the asymptotic Euclidean AdS3 black hole. This gives a microscopic understanding of ER = EPR: one has a worldsheet duality between string theory in a connected, eternal black hole, and in a superposition of disconnected geometries in an entangled state. The disconnected description includes a condensate of entangled folded strings emanating from a strong-coupling region in place of a bifurcation point. Our construction relies on a Lorentzian interpretation of Euclidean time winding operators via angular quantization, as well as some lesser known worldsheet string theories, such as perturbation theory around a thermofield-double state, which we define using Schwinger-Keldysh contours in target space.
Feasibility, Safety, and Technical Success of the Flying Intervention Team in Acute Ischemic Stroke
Authors: Kettner Alexander , Schlachetzki Felix , Boeckh-Behrens Tobias , Zimmer Claus , Wunderlich Silke , Kraus Frank , Haberl Roman Ludwig , Hubert Gordian Jan , Boy Sandra , Henninger Julia , Friedrich Benjamin , Maegerlein Christian 
Published: November 2022

Abstract
Background
Prompt endovascular care of patients with ischemic stroke due to large vessel occlusion (LVO) remains a major challenge in rural regions as primary stroke centers (PSC) usually cannot provide neuro-interventional services. Objective The core content of the Flying Intervention Team (FIT) project is to perform thrombectomy on-site at a local PSC after the neuro-interventionalist has been transported via helicopter to the target hospital. An important and so far unanswered question is whether mechanical thrombectomy can be performed as safely and successfully on-site as in a specialized comprehensive stroke center (CSC).

Methods
Comparison of 100 FIT thrombectomies on site in 14 different PSCs with 128 control thrombectomies at 1 CSC (79 drip-and-ship, 49 mothership) performed by a single interventionalist with respect to technical-procedural success parameters, procedural times, and complications.

Results
There were no significant differences between the two groups in terms of technical success (95.0% successful interventions in FIT group vs. 94.5% in control group, p = 0.60) and complications (3% major complications in FIT vs. 1.6% in control group, p = 0.47). Regarding time from onset to groin puncture, there was no difference between FIT and the entire control group (182 vs. 183 min, p = 0.28), but a trend in favor of FIT compared with the drip-and-ship control subgroup (182 vs. 210 min, p = 0.096).

Conclusions
Airborne neuro-interventional thrombectomy service is a feasible approach for rural regions. If performed by experienced neuro-interventionalists, technical success and complication rates are comparable to treatment in a specialized neuro-interventional department.
Was ist gesichert in der Therapie der chronischen Nierenerkrankung?
Authors: Greite Robert , Schmidt-Ott Kai 
Published: November 2022

ZusammenfassungMan spricht von einer chronischen Nierenerkrankung („chronic kidney disease“ [CKD]), wenn über einen längeren Zeitraum (≥ 3 Monate) eine reduzierte glomeruläre Filtrationsrate (GFR) oder eine relevante Albuminausscheidung im Urin beobachtet wird. Die Ursachen von CKD sind vielfältig, wobei die Assoziation mit Diabetes mellitus am häufigsten ist. Frühe Stadien von CKD betreffen etwa 10 % der Gesamtbevölkerung. Mit Abnahme der GFR und Zunahme der Albuminurie steigen die Häufigkeit kardiovaskulärer Ereignisse, das Risiko einer Dialysepflichtigkeit und die Gesamtmortalität exponentiell an. Die Leitlinien der Deutschen Gesellschaft für Allgemeinmedizin und Familienmedizin (DEGAM) und der Organisation Kidney Disease: Improving Global Outcomes (KDIGO) empfehlen eine Überweisung in die Nephrologie bei einer GFR ≤ 30 oder ≤ 60 ml/min pro 1,73 m2 bei Vorliegen verschiedener Begleitfaktoren. Das bedeutet, dass ein Großteil der CKD-Patienten allgemeininternistisch oder hausärztlich behandelt wird. Im vorliegenden Beitrag möchten wir die Datenlage zur Behandlung von CKD und deren Komplikationen in der Praxis komprimiert zusammenfassen. Wir gehen dabei auf aktuelle Leitlinienempfehlungen ein, diskutieren aber auch neue Studienergebnisse, die perspektivisch das therapeutische Repertoire erweitern könnten.
Beyond assembly features: systematic review of the core concepts and perspectives towards a unified approach to assembly information representation
Authors: Rea Minango Nathaly , Maffei Antonio 
Published: November 2022

AbstractProduct development requires sharing information of a diverse nature between several actors. Since the new products resulting from this process often require assembly as part of their manufacturing processes, it becomes necessary to promote a functional information representation for the assembly domain. Several authors have proposed different core concepts to represent the information related to assembly. However, the resulting body of knowledge is fragmented and lacks a unified concept and definition of the information this concept should contain to be broadly adopted by the academy and industry. This study aims to identify and characterize the core concepts used to enclose the assembly information (e.g., assembly features, ports, connectors, and others) by conducting a literature review in the domain of discrete manufacturing, considering the period between 1985 and 2022. It was found that the literature is rich in concepts but often diverging: a clear depiction of the assembly information required by the involved stakeholders during the whole product development process remains elusive. This work's contribution addresses this gap by identifying the perspectives from which the assembly information can be studied, and the information required to describe the assembly process fully. The resulting information requirements were used to assess the existing approaches addressing assembly information representation. These findings can be used as a base to establish a comprehensive assembly information representation in the future.
Comparison of iSeq and MiSeq as the two platforms for 16S rRNA sequencing in the study of the gut of rat microbiome
Authors: Salamon Dominika , Zapała Barbara , Krawczyk Agnieszka , Potasiewicz Agnieszka , Nikiforuk Agnieszka , Stój Anastazja , Gosiewski Tomasz 
Published: November 2022

Abstract
Amplicon-based next-generation sequencing (NGS) of the 16S ribosomal RNA (16S) regions is a culture-free method used to identify and analyze Procaryota occurring within a given sample. The prokaryotic 16S rRNA gene contains conserved regions and nine variable regions (V1-V9) frequently used for phylogenetic classification of genus or species in diverse microbial populations. This work compares the accuracy and efficacy of two platforms, iSeq and MiSeq from Illumina, used in sequencing 16S rRNA. The most important similarities and differences of 16S microbiome sequencing in 20 fecal rat samples were described. Genetic libraries were prepared according to 16S Metagenomic Sequencing Library Preparation (Illumina) for the V3 and V4 regions of the 16S. The species richness obtained using iSeq technology was lower compared to MiSeq. At the second taxonomy level (L2), the abundance of taxa was comparable for both platforms. At the L7, the taxa abundance was significantly different, and the number of taxa was higher for the MiSeq. The alpha diversity was lower for iSeq than for MiSeq, starting from the order to the species level. The beta diversity estimation revealed statistically significant differences in microbiota diversity starting from the class level to the species level in samples sequenced on two investigated platforms. This work disclosed that the iSeq platform could be used to evaluate the bacterial profile of the samples to characterize the overall profile. The MiSeq System seems to be better for a detailed analysis of the differences in the microbiota composition.

Key points
• iSeq platform allows to shorten the sequencing time three times compared to the MiSeq.
• iSeq can only be used for an initial and quick microbiome assessment.
• MiSeq is better for a detailed analysis of the differences in the microbiota composition.