bluuebunny/crossref_metadata_2025_split huggingface dataset:
An exact algorithm for the service network design problem with hub capacity constraints
Authors: He Edward , Boland Natashia , Nemhauser George , Savelsbergh Martin 
Published: November 2022

AbstractThe service network design problem is commonly used to represent the tactical decisions encountered by a consolidation carrier operating a hub‐and‐spoke network: what transportation services to operate between hubs and how to route commodities from their origin to their destination through the network. In most settings, the capacity at hubs is not a limiting factor and can safely be ignored. However, in the context of city logistics networks, where space is limited and expensive, hub capacities typically have to be taken into account. The presence of hub capacity (and time) constraints implies that, contrary to traditional service network design problems, the existence of a feasible solution is no longer guaranteed. We present an exact dynamic discretization discovery algorithm for a variant of the service network design problem in which the number of vehicles that can be loaded and unloaded simultaneously at a hub is restricted. Novel techniques are introduced in the algorithm to handle the hub capacity constraints. A computational study using instances derived from real‐world data shows the potential of dynamic discretization discovery for this class of problems: integer program sizes are reduced by a factor of up to one thousand and small to mid size instances can be (optimally) solved in an acceptable amount of time.
Vertex covering with capacitated trees
Authors: Borndörfer Ralf , Schwartz Stephan , Surau William 
Published: November 2022

AbstractThe covering of a graph with (possibly disjoint) connected subgraphs is a fundamental problem in graph theory. In this paper, we study a version to cover a graph's vertices by connected subgraphs subject to lower and upper weight bounds, and propose a column generation approach to dynamically generate feasible and promising subgraphs. Our focus is on the solution of the pricing problem which turns out to be a variant of the NP‐hard Maximum Weight Connected Subgraph Problem. We compare different formulations to handle connectivity, and find that a single‐commodity flow formulation performs best. This is notable since the respective literature seems to have widely dismissed this formulation. We improve it to a new coarse‐to‐fine flow formulation that is theoretically and computationally superior, especially for large instances with many vertices of degree 2 like highway networks, where it provides a speed‐up factor of 5 over the non‐flow‐based formulations. We also propose a preprocessing method that exploits a median property of weight‐constrained subgraphs, a primal heuristic, and a local search heuristic. In an extensive computational study we evaluate the presented connectivity formulations on different classes of instances, and demonstrate the effectiveness of the proposed enhancements. Their speed‐ups essentially multiply to an overall factor of well over 10. Overall, our approach allows the reliable solution of instances with several hundreds of vertices in a few minutes. These findings are further corroborated in a comparison to existing districting models on a set of test instances from the literature.
QZ algorithm with two‐sided generalized Rayleigh quotient shifts
Authors: Chen Xiao Shan , Xu Hongguo 
Published: November 2022

AbstractWe generalize the recently proposed two‐sided Rayleigh quotient single‐shift and the two‐sided Grassmann–Rayleigh quotient double‐shift used in the QR algorithm and apply the generalized versions to the QZ algorithm. With such shift strategies the QZ algorithm normally has a cubic local convergence rate. Our main focus is on the modified shift strategies and their corresponding truncated versions. Numerical examples are provided to demonstrate the convergence properties and the efficiency of the QZ algorithm equipped with the proposed shifts. For the truncated versions, local convergence analysis is not provided. Numerical examples show they outperform the modified shifts and the standard Rayleigh quotient single‐shift and Francis double‐shift.
A scaled boundary finite element partitioning based reduced order algorithm for the elastic analysis of cyclically symmetric structures
Authors: Wang Chongshuai , Peng Ruifei , He Yiqian , Yang Haitian , Han Xu 
Published: November 2022

AbstractAn efficient reduced order algorithm is proposed for the elastic SBFE analysis for 2‐D cyclic symmetric structures with or without a common node. The general stiffness matrices of scaled boundary finite element (SBFE) is proved to be block‐circulant, and can be constructed via the basic region, instead of the whole computing domain. Thus, the expense on eigenvalue analysis required in generating stiffness matrix can be significantly reduced, and the solution scale can be reduced by partitioning the system equation into a series of small independent subproblems. Furthermore, the presented algorithm is combined with the Woodbury formula to reduce the computational cost on the analysis of incomplete cyclically symmetric structures, the original system equation is transformed into the equations with block‐circulant coefficient matrices, which is efficiently solved by partitioning algorithm. Four numerical examples are provided to demonstrate the effectiveness and advantages of the proposed approach.
Simulation debriefing as part of simulation for clinical teaching and learning in nursing education: A scoping review
Authors: Fegran Liv , ten Ham‐Baloyi Wilma , Fossum Mariann , Hovland Olav Johannes , Naidoo Joanne R. , van Rooyen Dalena (R.M) , Sejersted Ellen , Robstad Nastasja 
Published: November 2022

AbstractAimTo map the evidence of the simulation debriefing phase in simulation activities of nursing education, to address and inform clinical teaching and learning in nursing.DesignA scoping review.MethodsA systematic review of literature published between 2008–2021 was conducted using CINAHL & ERIC, MEDLINE, EMBASE, APA PsycInfo, the Cochrane Library and JBI Evidence synthesis. Inclusion criteria were primary studies published in English on simulation debriefing at all levels in nursing education.ResultsOf 140 included references, only 80% (N = 112) framed simulation debriefing theoretically either by specific theories/models or as a literature review of the topic. A variety of simulation debriefing methods were identified; however, debriefing methods were only described in 79% (N = 110) of the references. There appears to be a gap in consensus concerning the theoretical or methodological frameworks characterizing simulation debriefing in nursing education. The majority of studies (86%) were conducted at a bachelor's degree level (N = 121).
Assessment of nurses' knowledge, attitude and implementation of skin‐to‐skin care within the perinatal setting in Saudi Arabia: Survey study
Authors: Al Mutair Abbas , Almutairi Wedad , Aljarameez Faiza , Kay Elbert , Rabanal Rhea , Abellar Katrina , Napaod Aireen , Hawsawi Abeer , Saha Chandni , Ahmed Gasmelseed Y. 
Published: November 2022

AbstractAimTo evaluate knowledge, attitude and implementation of Skin‐to‐Skin Care (SSC) among nurses and to assess the implementation of SSC in the perinatal setting.DesignA cross‐sectional study design was implemented utilizing survey distributed among critical care paediatric and neonatal nurses.MethodsThe data collection form was pre‐structured validated tool consisted of two main sections; socio‐demographic characteristics and Likert scale of 20 items covering four main domains in; knowledge, attitude, education and implementation of SSC.ResultsThe vast majority of the sample 91 (98%) were females with mean age and mean years of experience 33.5 ± 6.5 and 9.7 ± 6.5 years respectively. Almost half of them 45 (48.4%) work in obstetric and labor and delivery units. Correlation coefficient revealed a significant association between the total educational years of nursing degree and SSC. The results showed nurses with bachelor or master significantly more knowledgeable and skilled in implementing SSC compared to others.
Improved performance of layered double hydroxide/hydrogenated nitrile rubber composites by addition of sorbic acid
Authors: Cao Qi , Wang Zhongying , Zhang Zhen , Liu Dexin , Zhu Hong , Wang Zhiqian 
Published: November 2022

AbstractLayered double hydroxide (LDH) was in situ modified by sorbic acid (SA) and used to reinforce hydrogenated nitrile rubber (HNBR) by direct blending method. SA connected LDH and HNBR via grafting/coordination mechanism. The results showed that SA could effectively improve the interaction between LDH and HNBR and significantly improve the dispersion of LDH in the rubber matrix. In addition, zinc sorbate (ZDS) formed by the reaction of SA and zinc oxide (ZnO) could self‐polymerize with the initiation of Dicumyl peroxide to form poly‐zinc sorbate, which is conducive to the reinforcement of rubber. The LDH/HNBR composite with SA loading of 20 phr has the best comprehensive mechanical properties, including tensile strength of 39.31 MPa, tear strength of 62.38 kN/m, shore A hardness of 85.1°, and elastic modulus of 20.14 MPa, which is significantly better than the LDH/HNBR composite without addition of SA. Our work provides a practicable and effective methodology for in situ modification of LDH and fabrication of high‐performance rubber composites.
A new route to produce chitosan derivatives: nucleophilic vinylic substitution with ethoxymethylenemalononitrile
Authors: Pereira Robson V , Freitas Kenia S , Pereira Polyanna M , Venâncio Tiago , Mathias Samir L , de Menezes Aparecido J 
Published: November 2022

AbstractChitosan (Ch) is a polysaccharide obtained from chitin: a renewable, nontoxic, biocompatible biomolecule that constitutes the second most abundant natural polymer on the planet. The presence of amino groups in the chitosan polymer chains allows one to change the physicochemical properties of the natural polymer. In this work, we prepared a chitosan derivative (ChMM) with ethoxymethylenemalononitrile (EMM) through a nucleophilic vinylic substitution (SNV), changing the experimental conditions of stoichiometry, solvent (ethanol, dimethylsulfoxide (DMSO)) and reaction time (3 and 6 h). ChMM was characterized by Fourier transform infrared spectroscopy (FTIR), solid‐state 13C NMR, elemental analysis (EA), thermogravimetry (TG), scanning electron microscopy (SEM) and X‐ray diffraction (XRD). The FTIR and 13C NMR results confirm the success of the reaction, showing a sharp peak at 2213 cm−1 corresponding to the stretching of the C–N bond and additional signals at 52 and 166 ppm, respectively. The degree of substitution (DS) was calculated from EA and the results obtained show that sample modified with a [Ch]/[EMM] molar ratio of 1:2 over 3 h in DMSO presented the better result (DS = 0.91). ChMM did not show a considerable change in morphology (SEM) and thermal stability (TG). The insertion of methylenemalononitrile groups led to a decrease in the crystallinity index of chitosan derivatives (XRD). ChMM showed good ability to remove dyes in acidic and basic media (pH 5, 7, 9), and for crystal violet and safranin dyes the removal percentage surpassed 70%. © 2022 Society of Industrial Chemistry.
A new H∞ control method of impulsive dynamical linear systems: H∞ control criterion constrained by convergence rate
Authors: Wang Xuezhen , Zhang Huasheng , Xia Jianwei , Li Yuanen , Dai Yuzhen 
Published: November 2022

AbstractIn this article, a new control criterion of impulsive dynamic linear systems is proposed, that is, control criterion based on convergence rate. The conclusion can not only satisfy the target system control criterion, but also reveal the dynamic performance index, such as the convergence rate of its state, which can achieve the purpose of accurate control and have certain anti‐interference ability. According to the relationship between the eigenvalues (poles) and performances of systems, the conditions of interval stability and interval stabilization are obtained via the idea of generalized pole placement and equivalent systems. Then, combined with the classical control criterion, control criterion constrained by convergence rate is investigated. Referring to the programming language, system eigenvalues adjustment algorithm is designed. Through the cooperation between the algorithm and the above criteria, the target system has certain anti‐interference ability and its state convergence speed is precisely controlled. Finally, the advantages mentioned above are illustrated by two examples.
Monocrystalline Labeling Enables Stable Plasmonic Enhancement for Isolation‐Free Extracellular Vesicle Analysis
Authors: Wang Shu , Zheng Wenshu , Wang Ruixuan , Zhang Lili , Yang Li , Wang Tao , Saliba Julian G. , Chandra Sutapa , Li Chen‐Zhong , Lyon Christopher J. , Hu Tony Y. 
Published: November 2022

AbstractSensitive detection of extracellular vesicles (EVs) as emerging biomarkers has shown great promises for disease diagnosis. Plasmonic metal nanostructures conjugated with molecules that bind specific biomarker targets are widely used for EVs sensing but involve tradeoffs between particle‐size‐dependent signal intensity and conjugation efficiency. One solution to this problem would be to induce nucleation on nanoparticles that have successfully bound a target biomarker to permit in situ nanoparticle growth for signal amplification, but approaches that are evaluated to date require harsh conditions or lack nucleation specificity, prohibiting their effective use with most biological specimens. This study describes a one‐step in situ strategy to induce monocrystalline copper shell growth on gold nanorod probes without decreasing signal by disrupting probe‐target interactions or lipid bilayer integrity to enable EV biomarker detections. This approach increases the detected nanoparticle signal about two orders of magnitude after a 10 min copper nanoshell growth reaction. This has significant implications for improved disease detection, as indicated by the ability of a novel immunoassay using this approach to detect low abundance EVs carrying a pathogen‐derived biomarker, after their direct capture from serum, to facilitate the diagnosis of tuberculosis cases in a diagnostically challenging pediatric cohort.
Efficient Ternary Mn‐Based Spinel Oxide with Multiple Active Sites for Oxygen Evolution Reaction Discovered via High‐Throughput Screening Methods
Authors: Ahmed Mahmoud Gamal , Tay Ying Fan , Chi Xiao , Zhang Mengyuan , Tan Joel Ming Rui , Chiam Sing Yang , Rusydi Andrivo , Wong Lydia Helena 
Published: November 2022

AbstractThe discovery of more efficient and stable catalysts for oxygen evolution reaction (OER) is vital in improving the efficiency of renewable energy generation devices. Given the large numbers of possible binary and ternary metal oxide OER catalysts, high‐throughput methods are necessary to accelerate the rate of discovery. Herein, Mn‐based spinel oxide, Fe10Co40Mn50O, is identified for the first time using high‐throughput methods demonstrating remarkable catalytic activity (overpotential of 310 mV on fluorine‐doped tin oxide (FTO) substrate and 237 mV on Ni foam at 10 mA cm−2). Using a combination of soft X‐ray absorption spectroscopy and electrochemical measurements, the high catalytic activity is attributed to 1) the formation of multiple active sites in different geometric sites, tetrahedral and octahedral sites; and 2) the formation of active oxyhydroxide phase due to the strong interaction of Co2+ and Fe3+. Structural and surface characterizations after OER show preservation of Fe10Co40Mn50O surface structure highlighting its durability against irreversible redox damage on the catalytic surface. This work demonstrates the use of a high‐throughput approach for the rapid identification of a new catalyst, provides a deeper understanding of catalyst design, and addresses the urgent need for a better and stable catalyst to target greener fuel.
Polyurea‐Modified Magnetic Particles with Versatile Probes for Chemoselective Capture of Carbonyl Metabolites and Biomarker Discovery
Authors: Zhang Mo , Lai Zhizhen , Zhang Renjun , Liu Shuai , Tian Hongtao , Qiu Yuming , Li Dan , Zhou Jiang , Li Zhili 
Published: November 2022

AbstractPlaying a great role in human physiologies and pathologies, carbonyl metabolites are intimately associated with a variety of diseases, though the effective analysis method of them remains a challenge. A hydrazide‐terminated polyurea‐modified magnetic particle (HPMP) with versatile probes is developed to address this issue. The capture ability of HPMPs for carbonyl metabolite is more than 1200 µmol g−1, which is increased by 4 orders of magnitude via the introduction of polyurea. With a broad linear range of over 4 orders of magnitude, remarkably improved sensitivity, and limit of detection at attomole quantities, HPMPs are applied in relative quantification of more than 1500 carbonyl metabolites in 113 human serum samples with high throughput and high coverage. The combined indicators of these metabolites demonstrates a great diagnostic accuracy for distinguishing between health and disease subjects as well as differentiating the patients with benign lung disease and lung cancer. Combining powerful capture ability, low‐cost preparation, and convenient operation, the HPMPs demonstrate extensive application in biomarker discovery and the detailed study of the biochemical landscape.
Facile Electron Transfer in Atomically Coupled Heterointerface for Accelerated Oxygen Evolution
Authors: Ibrahim Kassa Belay , Shifa Tofik Ahmed , Moras Paolo , Moretti Elisa , Vomiero Alberto 
Published: November 2022

AbstractAn efficient and cost‐effective approach for the development of advanced catalysts has been regarded as a sustainable way for green energy utilization. The general guideline to design active and efficient catalysts for oxygen evolution reaction (OER) is to achieve high intrinsic activity and the exposure of more density of the interfacial active sites. The heterointerface is one of the most attractive ways that plays a key role in electrochemical water oxidation. Herein, atomically cluster‐based heterointerface catalysts with strong metal support interaction (SMSI) between WMn2O4 and TiO2 are designed. In this case, the WMn2O4 nanoflakes are uniformly decorated by TiO2 particles to create electronic effect on WMn2O4 nanoflakes as confirmed by X‐ray absorption near edge fine structure. As a result, the engineered heterointerface requires an OER onset overpotential as low as 200 mV versus reversible hydrogen electrode, which is stable for up to 30 h of test. The outstanding performance and long‐term durability are due to SMSI, the exposure of interfacial active sites, and accelerated reaction kinetics. To confirm the synergistic interaction between WMn2O4 and TiO2, and the modification of the electronic structure, high‐resolution transmission electron microscopy (HR‐TEM), X‐ray photoemission spectroscopy (XPS), and X‐ray absorption spectroscopy (XAS) are used.
Hydrofluoroether Diluted Dual‐Salts‐Based Electrolytes for Lithium‐Sulfur Batteries with Enhanced Lithium Anode Protection
Authors: Kong Xirui , Kong Yichen , Zheng Yayun , He Lang , Wang Du , Zhao Yan 
Published: November 2022

AbstractWith a high energy density, lithium–sulfur batteries (LSB) are regarded as one of the promising next‐generation energy storage systems. However, many challenges hinder the practical applications of LSB, such as the dendrite formations/parasitic reactions on the Li metal anode and the “shuttle effect” of lithium polysulfides of the LSB cathode. Herein, a novel diluted medium‐concentrated electrolyte (DMCE) is developed by adding 1,1,2,2‐tetrafluoroethyl 2,2,3,3‐tetrafluoropropyl ether (TTE) into a dual salt medium‐concentrated electrolyte (MCE) consisting of lithium bis(trifluoromethanesulfonyl)imide (LiTFSI)–lithium bis(fluorosulfonyl)imide (LiFSI)/tetrahydrofuran (THF)–dipropyl ether (DPE). The optimized DMCE electrolyte is capable of protecting the Li metal anode and suppresses the dissolution of polysulfides and the “shuttle effect”, delivering a high coulombic efficiency (CE) of Li plating–stripping up to 99.6% even at a low concentration of Li salt (1.0–2.0 m). Impressively, compared with the cells cycled in the MCE electrolyte, the LiS cells with the DMCE‐2.0 m electrolyte have delivered an enhanced initial capacity of 682 mAh g−1 with an excellent capacity retention of 92% for 500 cycles. This strategy of using fluorinated ether as diluent solvent in a medium‐concentrated electrolyte can accelerate the commercialization of LSB.
Realization of a 594 Wh kg−1 Lithium‐Metal Battery Using a Lithium‐Free V2O5 Cathode with Enhanced Performances by Nanoarchitecturing
Authors: Sim Kiyeon , Kwon JunHwa , Lee Seungmin , Song Hayong , Cho Ki‐Yeop , Kim Subin , Eom KwangSup 
Published: November 2022

AbstractTo realize a high‐energy lithium metal battery (LMB) using a high‐capacity Li‐free cathode, in this work, nanoplate‐stacked V2O5 with dominantly exposed (010) facets and a relatively short [010] length is proposed to be used as a cathode. The V2O5 nanostructure can be fabricated via a modified hydrothermal method, including a Li+ crystallization inhibitor, followed by heat treatment. In particular, the enlargement of the favorable Li+ diffusion pathway in the [010] direction and the formation of a robust hierarchical nanoplate‐stacked structure in the modified V2O5 improves the electrochemical kinetics and stability; as a result, the nanoplate‐stacked V2O5 electrode exhibits a higher capacity and rate performance (258 mAh g−1 at 50 mA g−1 [0.17 C], 140 mAh g−1 at 1 A g−1 [3.4 C]) and cycling capability (79% capacity retention after 100 cycles at 0.5 C) compared to the previously reported V2O5 nanobelt electrode. Notably, the LMB composed of Li//nanoplate‐stacked V2O5 full‐cells shows high specific energy densities of 594.1 and 296.2 Wh kg−1 at 0.1 and 1.0 C, respectively, and a high Coulombic efficiency of 99.6% during 50 cycles.
Heat‐Resistant, Robust, and Hydrophilic Separators Based on Regenerated Cellulose for Advanced Supercapacitors
Authors: Wu Hongqin , Mu Jiahui , Xu Yanglei , Xu Feng , Ramaswamy Shri , Zhang Xueming 
Published: November 2022

AbstractSeparators in supercapacitors (SCs) typically suffer from defects of low mechanical property, limited ion transport, and electrolyte wettability, and poor thermal stability, impeding the development of SCs. Herein, high‐performance regenerated cellulose (RC) based separators are designed that are fabricated by effective hydrolytic etching of inorganic CaCO3 nanoparticles from a filled RC membrane. The as‐prepared RC separator displays excellent comprehensive performances such as higher tensile strength (75.83 MPa) and thermal stability (200 °C), which is superior to commercial polypropylene‐based separator (Celgard 2500) and sufficient to maintain their structural integrity even at temperatures in excess of 200 °C. Benefiting from its hydrophilicity, high porosity, and outstanding electrolyte uptake rate (208.5%), the RC separator exhibits rapid transport and permeability of ions, which is 2.5× higher than that of the commercial nonwoven polypropylene separator (NKK ‐MPF30AC‐100) validated by electrochemical tests in the 1.0 m Na2SO4 electrolyte. Results show that porous RC separator with unique advantages of superior electrolyte wettability, mechanical robustness, and high thermal stability, is a promising separator for SCs with high‐performance and safety.