bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synergistic Anisotropic Network and Hierarchical Electrodes Endow Cost‐Effective N‐Type Quasi‐Solid State Thermocell with Boosted Electricity Production
Authors: Meng Haofei , Gao Wei , Chen Yongping 
Published: February 2024

AbstractQuasi‐solid state thermocells hold immense potential for harnessing untapped low‐grade heat and converting it into electricity via the thermogalvanic effect. However, integrated N‐type thermocells face limitations in thermoelectric performance due to the rare N‐type systems and the poor electroactivity of the electrode interfaces. Herein, a low‐cost, high‐power N‐type quasi‐solid state thermocell employing PVA‐CuSO4‐Cu is presented, which is enhanced by synergistic engineering of an anisotropic network and hierarchical electrodes. The anisotropic polymer network, combined with the salting‐out effect, yields impressive mechanical properties that exceed those of most N‐type quasi‐solid state thermocells. Furthermore, through the synergistic construction of aligned ion transport pathways in the anisotropic thermocell and optimization of the electroactive interface between electrodes and thermocell, a remarkable enhancement of 1500% in output power density (compared to pristine thermocell), reaching 0.51 mW m−2 at ∆T = 5 °C. It is believed that this cost‐effective N‐type thermocell, enhanced by the synergistic anisotropic network and hierarchical electrodes, paves the way for effective energy harvesting from diverse heat sources and promises to reshape sustainable energy utilization.
Ultra‐thin and Mechanically Stable LiCoO2‐Electrolyte Interphase Enabled by Mg2+ Involved Electrolyte
Authors: Liu Pei , Huang Tao , Xiao Biwei , Zou Lianfeng , Wang Kai , Wang Kuan , Wang Kai , Yao Xiangming , Liu Yuying , Huang Zhencheng , Wang Hongbin , Liu Mijie , Ren Xiaodi , Ren Xiangzhong , Ouyang Xiaoping , Liu Jianhong , zhang Qianling , Hu Jiangtao 
Published: February 2024

AbstractLiCoO2 (LCO) cathode materials have attracted significant attention for its potential to provide higher energy density in current Lithium‐ion batteries (LIBs). However, the structure and performance degradation are exacerbated by increasing voltage due to the catastrophic reaction between the applied electrolyte and delithiated LCO. The present study focuses on the construction of physically and chemically robust Mg‐integrated cathode‐electrolyte interface (MCEI) to address this issue, by incorporating Magnesium bis(trifluoromethanesulfonyl)imide (Mg[TFSI]2) as an electrolyte additive. During formation cycles, the strong MCEI is formed and maintained its 2 nm thickness throughout long‐term cycling. Notably, Mg is detected not only in the robust MCEI, but also imbedded in the surface of the LCO lattice. As a result, the parasitic interfacial side reactions, surface phase reconstruction, particle cracking, Co dissolution and shuttling are considerably suppressed, resulting in long‐term cycling stability of LCO up to 4.5 V. Therefore, benefit from the double protection of the strong MCEI, the Li||LCO coin cell and the Ah‐level Graphite||LCO pouch cell exhibit high capacity retention by using Mg‐electrolyte, which are 88.13% after 200 cycles and 90.4% after 300 cycles, respectively. This work provides a novel approach for the rational design of traditional electrolyte additives.
Fully‐Printed Flexible Aqueous Rechargeable Sodium‐Ion Batteries
Authors: Ren Hehe , Zhang Xinyu , Liu Qun , Tang Weinan , Liang Jing , Wu Wei 
Published: February 2024

AbstractThe flexible aqueous rechargeable sodium‐ion batteries (ARSIBs) are a promising portable energy storage system that can meet the flexibility and safety requirements of wearable electronic devices. However, it faces huge challenges in mechanical stability and facile manufacturing processes. Herein, the first fully‐printed flexible ARSIBs with appealing mechanical performance by screen‐printing technique is prepared, which utilizes Na3V2(PO4)2F3/C (NVPF/C) as the cathode and 2% nitrogenous carbon‐loaded Na3MnTi(PO4)3/C (NMTP/C/NC) as the anode. In particular, the organic co‐solvent ethylene glycol (EG) is cleverly added to 17 m (mol kg−1) NaClO4 electrolyte to prepare a 17 m NaClO4‐EG mixed electrolyte. This mixed electrolyte can withstand low temperatures of −20 °C in practical applications. Encouragingly, the fully‐printed flexible ARSIBs (NMTP/C/NC//NVPF/C) exhibit a discharge capacity of 40.1 mAh g−1, an energy density of 40.1 Wh kg−1, and outstanding cycle performance. Moreover, these batteries with various shapes can be used as an energy wristband for an electronic watch in the bending states. The fully‐printed flexible ARSIBs in this work are expected to shed light on the development of energy for wearable electronics.
A distributed tracing pipeline for improving locality awareness of microservices applications
Authors: Colarusso Carmine , De Caro Assunta , Falco Ida , Goglia Lorenzo , Zimeo Eugenio 
Published: February 2024

AbstractThe microservices architectural style aims at improving software maintenance and scalability by decomposing applications into independently deployable components. A common criticism about this style is the risk of increasing response times due to communication, especially with very granular entities. Locality‐aware placement of microservices onto the underlying hardware can contribute to keeping response times low. However, the complex graphs of invocations originating from users' calls largely depend on the specific workload (e.g., the length of an invocation chain could depend on the input parameters). Therefore, many existing approaches are not suitable for modern infrastructures where application components can be dynamically redeployed to take into account user expectations. This paper contributes to overcoming the limitations of static or off‐line techniques by presenting a big data pipeline to dynamically collect tracing data from running applications that are used to identify a given number of microservices groups whose deployment allows keeping low the response times of the most critical operations under a defined workload. The results, obtained in different working conditions and with different infrastructure configurations, are presented and discussed to draw the main considerations about the general problem of defining boundary, granularity, and optimal placement of microservices on the underlying execution environment. In particular, they show that knowing how a specific workload impacts the constituent microservices of an application, helps achieve better performance, by effectively lowering response time (e.g., up to a reduction), through the exploitation of locality‐driven clustering strategies for deploying groups of services.
High‐performance liquid chromatography‐tandem mass spectrometry method for determination of peramivir in rat plasma using the simple protein precipitation pretreatment
Authors: Ke Xin , Nan Gu , Lili Wan , Jiaai Zhou , Ziqian Huang , Liangxing Tu , Qi Zhang , Heyun Nie , Yongbing Sun 
Published: February 2024

AbstractA high‐performance liquid chromatography‐tandem mass spectrometry method has been developed for the determination of peramivir in rat plasma in the present study. The analytes were separated on a C18 column and a triple‐quadrupole mass spectrometry equipped with an electrospray ionization source was applied for detection. Peramivir could be well retained in the C18 column after optimization of the mobile phase. A simple protein precipitation was used to pretreat the plasma. The extraction recovery was about 100% and the matrix effect could be negligible. The method was linear over the concentration ranges of 1.17–2340.0 ng/mL for peramivir. The precision and accuracy were within acceptable limits. The lowest limit of quantification was 1.17 ng/mL. Compared with those methods which have been developed and published since 2001, the present method is very simple and convenient. The method was validated and successfully applied to support the pharmacokinetics study after peramivir was intravenously injected into the Sprague‐Dawley rats.
Studying the effectiveness of sewage sludge ash and its combination with natural pozzolans in controlling alkali–silica reaction
Authors: Amirjani Mohammad Javad , Maleki Ali , Ramezanianpour Amir Mohammad 
Published: February 2024

AbstractSewage sludge ash (SSA), obtained by the incineration of sewage sludge, which is a byproduct of water treatment, could be used as a cement replacement material (CSR) to promote sustainability. SSA characteristics differ due to its different sources, compositions, and incineration methods. On the other hand, extensive investigations have highlighted the CSRs' ability to control alkali–silica reaction (ASR) as a destructive phenomenon, threatening durability. Hence, this study was conducted in order to study the ability of SSA with two finenesses, three replacement levels, and also its ternaries with trass or pumice, as natural pozzolans, to control ASR. The utilized SSA did not meet the requirements of a pozzolan at either finenesses. The results revealed that despite the fact that SSA generally reduced ASR expansion significantly, it only managed to control ASR at 50% replacement level. This was true for both finenesses. Furthermore, ternaries improved resistance against ASR expansion significantly, providing the ability to control ASR at lower replacement levels of SSA. The Si/Ca ratio was the key reason of SSA's ability to control ASR as it contained 1.5 and 2.5 times more SiO2 and Al2O3 than Portland cement respectively, and about one third of its CaO. Scanning electron microscopey (SEM), energy dispersive spectroscopy (EDS), and mapping confirmed that the relative amounts of Si, Al, and Ca in the SSA was crucial.
Mapping industry workforce needs to academic curricula – A workforce development effort in model‐based systems engineering
Authors: Akundi Aditya , Ankobiah Wilma 
Published: February 2024

AbstractModel‐based systems engineering (MBSE) is rapidly gaining popularity among U.S. industries. Though industry practitioners and academic researchers have identified several advantages in transitioning to MBSE, several adoption challenges of MBSE in industries, such as insufficient tool knowledge, lack of skilled personnel, and resistance in organizations toward a shift to MBSE, are observed. Attesting to the challenges in industry adoption of MBSE, a previous research study by the authors characterized the adoption challenges as tools‐based, knowledge‐based, cultural, political, and cost‐related, and customer understanding and acceptance of MBSE practices. This study is motivated to explore further and address the challenge of low MBSE tool knowledge and lack of skilled personnel with MBSE knowledge for industry adoption. This paper presents a two‐phased research approach framed by an overarching question of the extent to which the MBSE academic curriculum is aligned with industry workforce requirements. In Phase 1 of the study, we survey industry professionals from Defense, Aerospace, Automotive, and other industry clusters to identify MBSE tools, languages, and concepts preferred by industry professionals in a candidate for hire. This is followed by Phase 2 of the survey targeted at academic institutions with Systems and MBSE programs to analyze the extent to which MBSE curricula reflect industry workforce hiring requirements. Further, we also identify the challenges reported in academic institutions in training the Workforce on MBSE. The contributions of this paper are two‐fold: providing a pathway for academic institutions to align their curricula to MBSE industry workforce requirements and triggering discussion in the broader MBSE community to identify strategies for addressing MBSE adoption challenges and training future model‐based systems engineers.
Identification of heparin‐binding proteins expressed on Trichosporon asahii cell surface
Authors: Ichikawa Tomoe , Ikeda Yuka , Sadanaga Jumpei , Kikuchi Ayano , Kawamura Kohei , Ikeda Reiko , Ishibashi Yoshio 
Published: February 2024

AbstractTrichosporon asahii is a pathogenic yeast that cause trichosporonosis. T. asahii exhibits several colony morphologies, such as white (W)‐ or off‐white (O)‐type, which may affect virulence. In this study, we compared the expression pattern of heparin‐binding proteins in various colony morphologies and identified heparin‐binding protein in T. asahii. Surface plasmon resonance analysis revealed that cell surface molecules attached more strongly to heparin in W‐ than O‐type cells. We purified and identified a heparin‐binding protein strongly expressed in W‐type cells using heparin‐Sepharose beads, named it heparin‐binding protein 1 (HepBP1), and expressed Flag‐tagged HepBP1 in mammalian cells. The heparin‐binding ability of Flag‐tagged HepBP1 was confirmed by pulldown assay using heparin‐Sepharose beads. Thus, HepBP1 is a heparin‐binding protein on T. asahii cell surface. These results suggest that several T. asahii cell surface proteins interact with glycosaminoglycans; therefore, they could contribute to infection.
Online-Berechnung des Digitalen Zwillings für CNC am Beispiel der additiven Fertigung
Authors: Wulle Frederik , Scheifele Christian , Verl Alexander 
Published: February 2024

ZusammenfassungDie Forderung nach hoher Präzision bei Dosier- und Extrusionsanwendungen und gleichzeitig wirtschaftlicher Prozessgeschwindigkeit stellt eine große Herausforderung in der Entwicklung und Steuerung von Werkzeugmaschinen dar. Die teils hochviskosen Werkstoffe lassen sich nur schwer handhaben, wodurch es bei Dosieranwendungen oftmals zu ungewolltem Nachtropfen oder verzögertem Austritt kommt. Modellbasierte Steuerungsverfahren tragen zur Prozessführung bei und können ein Bearbeitungsergebnis optimieren. Eine Kopplung von Modellen in CNC-Steuerungen ist heute schon möglich, stößt jedoch häufig an Integrationsrandbedingungen und hat nicht die Möglichkeit, zur Laufzeit einer Bearbeitung auf den neuesten Stand gebracht zu werden.
Strukturmodellbasierte Korrektur thermisch bedingter Fehler
Authors: Ihlenfeldt Steffen , Thiem Xaver , Müller Jens 
Published: February 2024

ZusammenfassungIn jeder Phase des Produktlebenszyklus müssen unterschiedliche thermische Fragestellungen beantwortet werden. Zu diesem Zweck bildet der Digitale Zwilling die Maschine selbst und die auf ihr laufenden Prozesse aufgabenbezogen ab. Damit ist die virtuelle Maschine nicht ein einzelnes Modell, sondern muss als Digitaler Werkzeugkasten kontextbezogener Modellvarianten gesehen werden. Strukturmodelle für die Korrektur thermisch bedingter Fehler an Werkzeugmaschinen stellen eine dieser Modellvarianten dar. Diese Modelle bilden den thermo-elastischen Zustand der Maschine im Betrieb ab. Die strukturmodellbasierte Korrektur steht im Fokus dieses Kapitels. Es werden die Teilfunktionen des Korrekturansatzes und die damit verbundenen Echtzeitanforderungen erläutert. Im Anschluss wird die konkrete Implementierung für die Demonstratormaschine Hexapod Felix IV vorgestellt. Die Korrektur wird validiert mit Hilfe eines Versuches, der ein großes Belastungsspektrum aufweist. Für diesen Versuch konnte eine Reduktion der thermisch bedingten Fehler von mehr als 80 % erzielt werden.
Echtzeitsimulation der Prozess-Maschinen-Interaktion zur Prognose der Prozessstabilität mit realer CNC am Beispiel eines Fräsprozesses
Authors: Röck Sascha 
Published: February 2024

ZusammenfassungIn diesem Artikel wird ein Ansatz für die Echtzeitsimulation von Wechselwirkungen zwischen Zerspanungsprozess und Werkzeugmaschine am Beispiel eines Fräsprozesses vorgestellt. Ziel des Ansatzes ist die Kopplung eines echtzeitfähigen Zerspanungsmodells mit einer realen CNC, um durch regeneratives Rattern bedingte Schwingungen bereits bei der Virtuellen Inbetriebnahme prognostizieren zu können. Dabei wird ein dexel-basiertes Modell des Werkstücks für die Berechnung der Spandicke und der Schnittkräfte unter Berücksichtigung von Werkzeugposition und Materialabtrag eingesetzt. Anhand simulativer Experimente wird der Ansatz auf Prognose- und Echtzeitfähigkeit für den Einsatz in einer CNC-gekoppelten Echtzeitsimulation untersucht.
Materialflusssimulation für die Virtuelle Inbetriebnahme in Steuerungsechtzeit
Authors: Göttlich Simone , Hoher Simon , Verl Alexander , Weißen Jennifer , Kienzlen Annika 
Published: February 2024

ZusammenfassungMaterialflusssysteme innerhalb von Anlagen spielen eine wichtige Rolle für die Produktivität eines Unternehmens. Mit steigendem Durchsatz steigt auch die Komplexität des Materialflusses. Um den Materialfluss zu planen und abzusichern, werden zunehmend Materialflusssimulationen eingesetzt. Je nach Anwendung und Zielsetzung sind verschiedene Materialflusssimulationsarten sinnvoll: logisch, ereignisbasiert, kinematisch, physikbasiert oder flussbasiert. Dem Modellerstellungsaufwand im Laufe des Entwicklungsprozesses kann durch Kopplung unterschiedlicher Materialflussmodellarten begegnet werden. Im Bereich der Steuerungstechnik werden insbesondere kinematische und physikbasierte Modelle für Steuerungstests bspw. im Rahmen der Virtuellen Inbetriebnahme oder Taktzeitoptimierungen eingesetzt. Die Berechnung über das physikbasierte Modell ist bei einer großen Anzahl von Stückgütern jedoch sehr rechenaufwendig und dadurch nur begrenzt für die Virtuelle Inbetriebnahme der Steuerungstechnik geeignet. Aus diesem Grund wurde das Flussmodell für große Stückzahlen entwickelt, das Stückgüter als Dichteverteilung darstellt. Es ist sowohl für die Analyse und Validierungen als auch für die Optimierung von Steuerungssystemen und des Materialflusslayouts geeignet.
Exploring In-Service Teacher-Researcher Reflexivity: Education Research as Cultural Work
Authors: Heck Deborah 
Published: February 2024

AbstractThis chapter explores the evidence within In-Service teachers’ (I-STs) (n = 8) publications of their use of the Research Skills Development (RSD) framework as they research and then write about a contemporary educational issue relevant to their educational practice in Australia. The practising I-STs were completing their first semester of a Master of Education program in a course that used the RSD framework. The analysis of the published work of the enrolled I-STs, conducted by a Teacher Educator (TE) identified I-ST reflexivity at the commencement of a postgraduate program of study to understand the value of the RSD framework to support I-ST empowerment as researchers of classroom practice. The implications of this work provide scope for researchers and practitioners to engage in dialogue that counters the sole focus on a technical ‘what works’ view of educational research and opens the potential for I-STs to engage with the cultural role of research to produce new ways to recognise the complexity of the relationship between educational research, practice and thinking in classrooms—to become responsive teachers.
Digital Skill Mythology and Understanding in Preservice Teachers
Authors: McLeod Amber 
Published: February 2024

AbstractAny assumption that PSTs enter their initial teacher education degrees with skills in digital technologies equal to or exceeding their lecturers, or will be able to teach themselves whatever is needed, leaves all levels of education vulnerable to a mythology of practice. Rather than working from assumptions, this chapter focuses on explicit facilitation of PST digital literacy informed by the Digital Skill Development (DSD) framework, itself based on the facets and levels of autonomy of the Research Skill Development (RSD) framework. This chapter uses the DSD framework as a lens to examine PSTs’ understanding of what digital skills encompass. In a dedicated digital technologies unit at Monash University, 190 second year PSTs were encouraged to confront digital skill statistics that question the Digital Native myth, and were surveyed about their own digital competence. Five weeks later, they were asked to explain their understanding of digital skills and after 12 weeks they were surveyed about their digital competence. Findings were used to uncover which digital skill facets PSTs recognised and responded to and which needed more focus in the unit. More broadly, the conclusions will add to our understanding of the implications of explicit digital research skill development for the field of teacher education.
A formalism for extracting track functions from jet measurements
Authors: Lee Kyle , Moult Ian , Ringer Felix , Waalewijn Wouter J. 
Published: February 2024

Abstract
The continued success of the jet substructure program will require widespread use of tracking information to enable increasingly precise measurements of a broader class of observables. The recent reformulation of jet substructure in terms of energy correlators has simplified the incorporation of universal non-perturbative matrix elements, so called “track functions”, in jet substructure calculations. These advances make it timely to understand how these universal non-perturbative functions can be extracted from hadron collider data, which is complicated by the use jet algorithms. In this paper we introduce a new class of jet functions, which we call (semi-inclusive) track jet functions, which describe measurements of the track energy fraction in identified jets. These track jet functions can be matched onto the universal track functions, with perturbatively calculable matching coefficients that incorporate the jet algorithm dependence. We perform this matching, and present phenomenological results for the charged energy fraction in jets at the LHC and EIC/HERA at collinear next-to-leading logarithmic accuracy. We show that higher moments of the charged energy fraction directly exhibit non-linear Lorentzian renormalization group flows, allowing the study of these flows with collider data. Our factorization theorem enables the extraction of universal track functions from jet measurements, opening the door to their use for a precision jet substructure program.
Non-trivial thick brane realisations with 3-forms
Authors: Barros Bruno J. , Jiménez Jose Beltrán 
Published: February 2024

Abstract
We explore the construction of four-dimensional thick branes supported by massless 3-forms in a five-dimensional bulk space. The required residual Poincaré symmetry on the brane is realised as a combination of the bulk symmetries and the internal gauge symmetry of the 3-form. We show the presence of a gradient instability for the perturbations orthogonal to the brane when its profile decays slowly in the asymptotic regions. In particular, we ascertain that the prevailing profiles found in the literature are susceptible to such instabilities. We confirm our results by transitioning to the dual formulation in terms of a shift-symmetric scalar. In this formulation, the residual Poincaré group is trivially realised without internal symmetries, and there is a diagonal translational invariance in the fifth dimension reminiscent of the invariance under translations orthogonal to the brane of the dual 3-form. We demonstrate the extension of our results to the cases of de Sitter and Anti de Sitter branes where the gradient instabilities of asymptotically slowly decaying branes persist. Finally, we briefly comment on the construction of thick branes with massive 3-forms and their 1-form duals.