bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent advances in 3D printing sacrificial templates for fabricating engineered vasculature
Authors: Li Shuai , Li Hangyu , Shang Xiushuai , He Jiayan , Hu Yihe 
Published: July 2023

AbstractFabricating engineered vasculature within biological scaffolds is one of the most common strategies to maintain high cell viability before implantation. Many studies have been conducted from the aspects of the manufacturing process, materials science, and cell biology to fabricate engineered vasculature with the aim of enhancing the integration between scaffold and host. Among them, the method of combining three‐dimensional (3D) printing and sacrifice‐based technique has attracted extensive attention. Taking advantage of 3D printing, the method of separating the printed sacrificial template from the biological scaffold to form a 3D channel has become a widely used approach to advance the engineered vasculature. With the development of 3D printing techniques and material science, numerous sacrificial materials have shown their potential in fabricating engineered vasculature. However, several issues remain in this multimethod design, including, but not limited to, the printing process, removal method of sacrificial material, and cell seeding method. This review aims to summarize recent strategies for 3D printing sacrificial templates for fabricating engineered vasculature. The pros and cons of sacrificial materials used in these studies are analyzed. Future perspectives are proposed to fabricate biomimetic‐engineered vasculature. Flexible fabrication processes and materials should be advanced to support the 3D printing of sacrificial templates.
Teachers' professional identity and job burnout: The mediating roles of work engagement and psychological capital
Authors: Zhang Qinhan , Li Weijian , Gao Jianwei , Sun Binghai , Lin Shuwei 
Published: July 2023

AbstractTeacher burnout refers to teachers’ inability to cope with work stress smoothly. Previous studies have revealed that job burnout is negatively related to professional identity; however, little is known about the mechanism underlying the relationship between teacher professional identity and job burnout. This study tested the mediating effects of work engagement and psychological capital in the relationship between professional identity and job burnout. A descriptive correlational design was employed. Measures included the Professional Identity Scale, Utrecht Work Engagement Scale, Psychological Capital Questionnaire, and Professional Quality of Life Scale. A total of 3147 primary and secondary school teachers in China, of which 2220 were women (70.5%) and 927 were men (29.5%), with an average age of 39 years (SD = 8.74), completed the questionnaire survey. SPSS PROCESS macro (version 21) was used to explore the mediating roles of work engagement and psychological capital in the relationship between professional identity and job burnout. Professional identity, work engagement, and psychological capital significantly negatively affected job burnout. Work engagement and psychological capital, when occurring in parallel or sequentially, partially mediated the relationship between professional identity and job burnout. Job burnout among teachers with high professional identity can be eliminated by increasing work involvement and promoting exercise to improve their psychological capital. These findings provide implications for preventing burnout among teachers in the future.
Effects of multiple stressors on pancreatic human islets proteome reveal new insights into the pathways involved
Authors: Weldemariam Mehari Muuz , Sudhir Putty‐Reddy , Woo Jongmin , Zhang Qibin 
Published: July 2023

AbstractPancreatic β‐cell dysfunction is an early hallmark of type 1 diabetes mellitus. Among the potentially critical factors that cause β‐cell dysfunction are cytokine attack, glucotoxicity, induction of endoplasmic reticulum (ER) or mitochondria stress. However, the exact molecular mechanism underlying β‐cell's inability to maintain glucose homeostasis under severe stresses is unknown. This study used proinflammatory cytokines, thapsigargin, and rotenone in the presence of high concentration glucose to mimicking the conditions experienced by dysfunctional β‐cells in human pancreatic islets, and profiled the alterations to the islet proteome with TMT‐based proteomics. The results were further verified with label‐free quantitative proteomics. The differentially expressed proteins under stress conditions reveal that immune related pathways are mostly perturbed by cytokines, while the respiratory electron transport chains and protein processing in ER pathways by rotenone. Thapsigargin together with high glucose induces dramatic increases of proteins in lipid synthesis and peroxisomal protein import pathways, with energy metabolism and vesicle secretion related pathways downregulated. High concentration glucose, on the other hand, alleviated complex I inhibition induced by rotenone. Our results contribute to a more comprehensive understanding of the molecular events involved in β‐cell dysfunction.
Tissue‐based absolute quantification using large‐scale TMT and LFQ experiments
Authors: Wang Hong , Dai Chengxin , Pfeuffer Julianus , Sachsenberg Timo , Sanchez Aniel , Bai Mingze , Perez‐Riverol Yasset 
Published: July 2023

AbstractRelative and absolute intensity‐based protein quantification across cell lines, tissue atlases and tumour datasets is increasingly available in public datasets. These atlases enable researchers to explore fundamental biological questions, such as protein existence, expression location, quantity and correlation with RNA expression. Most studies provide MS1 feature‐based label‐free quantitative (LFQ) datasets; however, growing numbers of isobaric tandem mass tags (TMT) datasets remain unexplored. Here, we compare traditional intensity‐based absolute quantification (iBAQ) proteome abundance ranking to an analogous method using reporter ion proteome abundance ranking with data from an experiment where LFQ and TMT were measured on the same samples. This new TMT method substitutes reporter ion intensities for MS1 feature intensities in the iBAQ framework. Additionally, we compared LFQ‐iBAQ values to TMT‐iBAQ values from two independent large‐scale tissue atlas datasets (one LFQ and one TMT) using robust bottom‐up proteomic identification, normalisation and quantitation workflows.
Anion‐selective macromolecular artificial ionophores with steroid and fatty acid pendants
Authors: Sahoo Subhasish , Dey Asmita , Tecilla Paolo , De Priyadarsi 
Published: July 2023

AbstractSynthetic anion transporters are potential therapeutics for a plethora of cellular ailments including cystic fibrosis, cancer resistance, epilepsy, etc. In this context, cationic macromolecular amphiphiles are gaining revived interest because of their easy synthesis and ample ion channelization through the membrane barrier. Herein, side chain alanine containing cationic polymer amphiphiles with steroid/fatty acid decoration was established to be an efficient anion‐selective artificial ionophore. The facile amphiphilicity‐assisted assembly makeover of cholic acid containing copolymers channelized the better transmembrane anion transport and efficiency with the maximum selectivity found with NO2− ion.
Unilateral acute eosinophilic pneumonia on the operative side: A case 9 years after lung lobectomy
Authors: Iwabayashi Masaaki , Hashimoto Rika , Takada Mariko , Tomioka Hiromi 
Published: July 2023

AbstractThe typical clinical manifestation of acute eosinophilic pneumonia is acute onset of respiratory symptoms due to smoking or medication use, accompanied by bilateral ground‐glass opacity with consolidations on chest radiography. However, differential diagnosis with acute eosinophilic pneumonia should not be excluded in cases of unilateral pneumonia of postoperative lung.
Modeling the response of a field probe for nondestructive measurements of the magnetic susceptibility of soils
Authors: Zumr David , Li Tailin , Gómez José A. , Guzmán Gema 
Published: July 2023

AbstractNondestructive volume magnetic susceptibility measurements (MS) from the surface do not provide information about the depth distribution of a magnetic material or about the amount of magnetic material. We have developed a model that can be used to predict the volume magnetic susceptibility from the surface for a given (known or hypothesized) stratification of the magnetic layers in the soil profile. The measurements were performed with the MS2D Bartington sensor. The antenna signal from the MS2D probe decreases rapidly with depth. We show that the relative decrease in MS depends not only on the concentration of the magnetic tracer, but also on the distribution of the magnetic tracer in the soil profile. The decrease in sensitivity was fitted with a double exponential function. The function was implemented in a newly developed MagHut model. The MagHut model is a tool that can be used for forward modeling of the volume magnetic susceptibility when the tracer distribution in the soil profile is known. The model was successfully calibrated and validated with the measured data and with data from the literature. The Nash–Sutcliffe coefficients for goodness of fit were above 0.99 in all cases. MagHut can help interpret MS mapping results or it can be used to optimize amount and placement of the magnetic tracer for soil erosion experiments. However, the MagHut tool is only limited to the top 10 cm of the soil profile and cannot replace, but only complement, the standard procedure of occasional soil profile sampling and laboratory mass MS measurements.
High‐Efficiency Separator Capacity‐Compensation Strategy Applied to Sodium‐Ion Batteries
Authors: Mao Yue , Zhou Chaoyi , Gong Haochen , Zhang Shaojie , Wang Xiaoyi , Liu Xinyi , Xiang Qianxin , Sun Jie 
Published: July 2023

AbstractSodium‐ion batteries (SIBs) are expected to replace partial reliance on lithium‐ion batteries (LIBs) in the field of large‐scale energy storage as well as low‐speed electric vehicles due to the abundance, wide distribution, and easy availability of sodium metal. Unfortunately, a certain amount of sodium ions are irreversibly trapped in the solid electrolyte interface (SEI) layer during the initial charging process, causing the initial capacity loss (ICL) of the SIBs. A separator capacity‐compensation strategy is proposed, where the capacity compensator on the separator oxidizes below the high cut‐off voltage of the cathode to provide additional sodium ions. This strategy shows attractive advantages, including adaptability to current production processes, no impairment of cell long‐cycle life, controlled pre‐sodiation degree, and strategy universality. The separator capacity‐compensation strategy is applied in the NaNi1/3Fe1/3Mn1/3O2 (NMFO)||HC full cell and achieve a compensated capacity ratio of 18.2%. In the Na3V2(PO4)3 (NVP)||HC full cell, the initial reversible specific capacity is increased from 61.0 mAh g−1 to 83.1 mAh g−1. The separator capacity‐compensation strategy is proven to be universal and provides a new perspective to enhance the energy density of SIBs.
Elucidating the Mechanism of Freeze‐Thaw Driven Content Mixing between Protocells
Authors: Peter Benedikt , Schwille Petra 
Published: July 2023

AbstractThe front cover artwork is provided by the Schwille group from the Max Planck Institute of Biochemistry in Martinsried. The image shows the dissemination of genetic material in a population of primitive protocells during freeze‐thaw induced periods of membrane permeability. Read the full text of the Research Article at 10.1002/syst.202300008.
Aplastic anaemia treated using eltrombopag in a dog
Authors: Rodriguez‐Cobos Alfredo , Atencia Sabela 
Published: July 2023

AbstractA 2‐year‐old, neutered, female beagle was presented to a referral hospital for investigation of pancytopenia. The patient had a history of recurrent infections and, on previous blood tests, anaemia, leukopenia and thrombocytopenia were detected. At the time of presentation, the patient had been treated for 2 weeks with omeprazole, amoxicillin‐clavulanic acid, marbofloxacin and gabapentin, and for 3 months with prednisolone, in decreasing doses. A bone marrow aspirate and core biopsy were performed. Hypoplastic bone marrow was observed. Once underlying infectious diseases and exposure to toxins were ruled out, a diagnosis of aplastic anaemia was made. The patient was treated with eltrombopag, a thrombopoietin receptor agonist that stimulates primitive haematopoietic stem cells, used for the treatment of aplastic anaemia in humans. One week after starting eltrombopag treatment, all the affected cellular lines were recovered. The patient continued in remission 7 months after treatment.
Heavy metal concentrations in Canada geese, snow geese, mallards, and American coots from the northern Rocky Mountains in Montana
Authors: Capoccia Stella , Hailer Katie , Balmer Brian 
Published: July 2023

AbstractThe presence of metals in migratory bird tissues is well established and mining as an anthropogenic source of exposure to metals is well reported in the scientific literature. Determining the difference between what are hypothesized as normal metal levels and those associated with acute mining toxicity is challenging as spatial and temporal overlap of migratory birds with anthropogenic point sources can be highly variable at individual, population, and species levels. We examined the concentrations of 5 geologically prominent metals and metalloids in the region (arsenic, cadmium, copper, manganese, and zinc) in tissues (kidney, n = 64; liver, n = 65; and muscle, n = 65) from 4 species common to the northern Rocky Mountains in western Montana (Canada goose, Branta canadensis, n = 12; snow goose, Anser caerulescens, n = 15; mallard, Anas platyrhynchos, n = 32; and American coot, Fulica americana, n = 6), to identify metal concentrations for comparison to acute mining‐associated mortalities. Metal levels were highly variable across tissue types for all species. For example, the highest concentrations of copper, manganese, and zinc were measured in the liver (18,300, 3,960, and 38,200, respectively; ug/kg), while cadmium levels were highest in the kidney (973 ug/kg). Among species and tissue types, metal levels were also highly variable. For example, copper levels in mallards were highest in the kidney (6,700 ug/kg) and lowest in muscle (2,780 ug/kg). In contrast, copper levels in American coots were highest in muscle (14,400 ug/kg) and lowest in the kidney (5,060 ug/kg). While the wide variation in metal concentrations among species and tissue types measured in our study can make for difficult comparisons, the results are similar to control cases from other peer‐reviewed publications, and several times lower than dose‐response experiments and incidents in which mining‐associated mortality was known. Our results provide metal concentrations in migratory bird species that utilize the northern Rocky Mountains through Montana, which are essential data for assessing exposure, risk, and mortality associated with anthropogenic activities in the region.
Einführung. Zu diesem Band
Authors: Wagner-Egelhaaf Martina 
Published: July 2023

ZusammenfassungDer Einführungstext erläutert die Fragestellung des Bandes und der ihm zugrundeliegenden Tagung, die unter dem Titel „Rhetoriken. Interdisziplinäre und interkulturelle Zugänge“ stattfand. Ausgangspunkt ist die Beobachtung, dass das Stichwort ‚Rhetorik‘ unterschiedliche Reaktionen, negativer und positiver Art, hervorruft. Zur Diskussion steht die Pluralität der Rhetorik insbesondere in Bezug auf die interdisziplinären und interkulturellen Zugriffe auf rhetorisches Wissen und rhetorische Praktiken. Kurze Zusammenfassungen der einzelnen Beiträge geben einen Ausblick auf die Vielfalt rhetorischer Redegestaltung, vor allem im Blick auf Recht und Literatur.
Rhetorische Profile jüdischer Response der Gegenwart
Authors: Grundmann Regina 
Published: July 2023

ZusammenfassungInnerhalb der für die jüdische Religion und Kultur bedeutsamen Responsa-Praxis lassen sich bei den drei großen jüdischen Denominationen distinkte rhetorische Profile ausmachen, die durch die jeweiligen institutionellen, gesellschaftlichen und kulturellen Rahmenbedingungen der einzelnen Richtungen geprägt sind. Die Respondenten des Orthodoxen Judentums greifen auf eine tradierte, in traditionellen Kontexten vermittelte Rhetorik zurück, während sich in den Responsa des Konservativen Judentums und des Reformjudentums jeweils eigene rhetorische Profile herausgebildet haben, die sich vorrangig der gängigen rhetorisch-kommunikativen Mittel der Mehrheitskultur bedienen. Den Respondent/innen aller drei Denominationen ist gemeinsam, dass sie sich – in unterschiedlicher Weise und unterschiedlichem Ausmaß – der Persuasivität des Responsa-Genres und der Bedeutung der rhetorischen Einfassung ihrer Argumente bewusst sind und sie persuasive Elemente zur Aktivierung ihrer jeweiligencommunity of interpretationdaher auch gezielt einsetzen.
Central Bank Digital Currency Cross-Border Payment Model Based on Blockchain Technology
Authors: Hanyu Mao 
Published: July 2023

AbstractSince the turn of the twenty-first century, the growth of the globalized economy and trade has accelerated, and the cross-border payment system, which is an essential component of the international financial infrastructure, has played a significant role in the global economy and trade. However, traditional cross-border payments present risks and challenges, such as expensive processing fees, limited payment efficiency, information asymmetry in the trade process, and reliance on a highly centralized cross-border payment system. This chapter is based on consortium blockchain technology and utilizes Polkadot’s Parachain, Relay chain, and cross-chain technologies as references; a scalable, high-efficiency, high-security, and privacy-protecting central bank digital currency cross-border payment model is designed. Analyzed the usage of hash digest technology and CoinJoin technology to avoid the tracing of transactions in order to protect privacy. The issuance of multi-country central bank digital currency or stablecoin anchored to a basket of fiat currencies is discussed as the currency in circulation in the model. Finally, the central bank digital currency cross-border payment development trend is summarized and forecasted.
The Application of Time Series Analysis in the Fiscal Budget Variance of China
Authors: Chen Guanhua , Gong Xinqi 
Published: July 2023

AbstractDuring the process of budget planning and execution, irregular behaviors will be reflected in the level of the difference between budgeted and actual figures (named budget variance). Considering that these two processes are both led by Government Of China (hereinafter called GOC), the budget variance is widely used to evaluate the fiscal system. This chapter collects State General Public Budget data from 2000 to 2018 and analyzes their influence on budget variance. Then the forecast for budget variance is completed by modeling the budget execution and budget variance rate separately. The descriptive analysis and AIC (Akaike Information Criterion) contributes to decide the candidate model, the RMSE (Root Mean Square Error) on test data is used to select the final optimal model. The forecast shows that the extent of budget variance will be further controlled in 2011 and 2012, this chapter explains the result with fiscal theories to enhance the credibility of it and thereby provides a couple of policy advice on Chinese budget reform.
Robust Identification of Gene-Environment Interactions Under High-Dimensional Accelerated Failure Time Models
Authors: Zhang Qingzhao , Chai Hao , Liang Weijuan , Ma Shuangge 
Published: July 2023

AbstractFor complex diseases, beyond the main effects of genetic (G) and environmental (E) factors, gene-environment (G-E) interactions also play an important role. Many of the existing G-E interaction methods conduct marginal analysis, which may not appropriately describe disease biology. Joint analysis methods have been developed, with most of the existing loss functions constructed based on likelihood. In practice, data contamination is not uncommon. Development of robust methods for interaction analysis that can accommodate data contamination is very limited. In this study, we consider censored survival data and adopt an accelerated failure time (AFT) model. An exponential squared loss is adopted to achieve robustness. A sparse group penalization approach, which respects the “main effects, interactions” hierarchy, is adopted for estimation and identification. Consistency properties are rigorously established. Simulation shows that the proposed method outperforms direct competitors. In data analysis, the proposed method makes biologically sensible findings.
Iterative Learning Control Based on Random Variance Reduction Gradient Method
Authors: Gao Yihua , Shen Dong , Qian Jiaxi 
Published: July 2023

AbstractTraditional iterative learning control (ILC) algorithms usually assume that full system information and operation data can be utilized. However, due to the uncertainty and complexity of actual systems, it is difficult to access full system information and operation data accurately and completely. In this chapter, a novel ILC scheme based on stochastic variance reduced gradient (SVRG) is proposed. This scheme is not only suitable for resolving the incomplete information problem, but also converges efficiently under both strongly convex and non-strongly convex control objectives. To demonstrate the advantages, this chapter studied two scenarios, i.e., random error data dropout and model-free data-driven approach, and proposed two SVRG-based ILC algorithms for these two scenarios, respectively. It is theoretically demonstrated and experimentally verified that the proposed SVRG-based ILC scheme converges faster than both the full gradient and stochastic gradient methods for the two involved scenarios.
On the High Dimensional RSA Algorithm—A Public Key Cryptosystem Based on Lattice and Algebraic Number Theory
Authors: Zhiyong Zheng , Fengxia Liu , Man Chen 
Published: July 2023

AbstractThe most known public key cryptosystem was introduced in 1978 by Rivest et al. (1978) and is now called the RSA public key cryptosystem in their honor. Later, a few authors gave a simple extension of RSA over algebraic numbers field (see Takagi and Naito (2015), Uematsu et al. (1985, 1986)), but they require that the ring of algebraic integers is Euclidean ring, and this requirement is much more stronger than the class number one condition. In this chapter, we introduce a high dimensional form of RSA by making use of the ring of algebraic integers of an algebraic number field and the lattice theory. We give an attainable algorithm (see Algorithm 1) which is significant both from the theoretical and practical point of view. Our main purpose in this chapter is to show that the high dimensional RSA is a lattice based on public key cryptosystem indeed, of which would be considered as a new number in the family of post-quantum cryptography (see Peikert (2014), Pradhanet al. (2019)). On the other hand, we give a matrix expression for any algebraic number fields (see Theorem 2), which is a new result even in the sense of classical algebraic number theory.