bluuebunny/crossref_metadata_2025_split huggingface dataset:
Critical Factors to Understanding the Electrochemical Performance of All‐Solid‐State Batteries: Solid Interfaces and Non‐Zero Lattice Strain
Authors: Kim Jaeyoung , Lee Wontae , Seok Jangwhan , Kim Minji , Park Sangbin , Lee Hyunbeom , Kim Young‐Jun , Yoon Won‐Sub 
Published: June 2023

AbstractAll‐solid‐state lithium batteries have been developed to secure safety by substituting a flammable liquid electrolyte with a non‐flammable solid electrolyte. However, owing to the nature of solids, interfacial issues between cathode materials and solid electrolytes, including chemical incompatibility, electrochemo‐mechanical behavior, and physical contact, pose significant challenges for commercialization. Herein, critical factors for understanding the performance of all‐solid‐state batteries in terms of solid interfaces and non‐zero lattice strains are identified through a strategic approach. The initial battery capacity can be increased via surface coating and electrode‐fabrication methods; however, the increased lattice strain causes significant stress to the solid interface, which degrades the battery cycle life. However, this seesaw effect can be alleviated using a more compacted electrode microstructure between the solid electrolyte and oxide cathode materials. The compact solid interfaces contribute to low charge‐transfer resistance and a homogeneous reaction between particles, thereby leading to improved electrochemical performance. These findings demonstrate, for the first time, a correlation between the uniformity of the electrode microstructure and electrochemical performance through the investigation of the reaction homogeneity among particles. Additionally, this study furthers the understanding of the relationship between electrochemical performance, non‐zero lattice strain, and solid interfaces.
Towards AIOps enabled services in continuously evolving software‐intensive embedded systems
Authors: Dakkak Anas , Bosch Jan , Holmstrom Olsson Helena 
Published: June 2023

AbstractContinuous deployment has been practiced for many years by companies developing web‐ and cloud‐based applications. To succeed with continuous deployment, these companies have a strong collaboration culture between the operations and development teams. In addition, these companies use AI, analytics, and big data to assist with time‐consuming postdeployment activities such as continuous monitoring and fault identification. Thus, the term AIOps has evolved to highlight the importance and difficulty of maintaining highly available applications in a complex and dynamic environment. In contrast, software‐intensive embedded systems often provide customer product‐related services, such as maintenance, optimization, and support. These services are critical for these companies as they provide significant revenue and increase customer satisfaction. Therefore, the objective of our study is to gain an in‐depth understanding of the impact of continuous deployment on product‐related services provided by software‐intensive embedded systems companies. In addition, we aim to understand how AIOps can support continuous deployment in the context of software‐intensive embedded systems. To address this objective, we conducted a case study at a large and multinational telecommunications systems provider focusing on the radio access network (RAN) systems for 4G and 5G networks. The company provides RAN products and three complementing services: rollout, optimization, and customer support. The results from the case study show that the boundaries between product‐related services become blurry with continuous deployment. In addition, product‐related services, which were conducted in sequence by independent projects, converge with continuous deployment and become part of the same project. Further, AIOps platforms play an important role in reducing costs and increasing postdeployment activities' efficiency and speed. These results show that continuous deployment has a profound impact on the software‐intensive system's provider service organization. The service organization becomes the connection between the R&D organization and the customer. In order to cope with the increased speed of releases, deployment and postdeployment activities need to be largely automated. AIOps platforms are seen as a critical enabler in managing the increasing complexity without increasing human involvement.
Environment‐Adaptable Rotational Energy Harvesters Based on Nylon‐core Coiled Carbon Nanotube Yarns
Authors: Mun Tae Jin , Moon Ji Hwan , Park Jong Woo , Baughman Ray H. , Kim Seon Jeong 
Published: June 2023

AbstractOwing to increasing amount of research on energy harvesting, studies on harvesters for practical application and their performance are attracting attention. Therefore, studies on the use of continuous energy as an energy source for energy‐harvesting devices are being conducted, and fluid flows, e.g., wind, river flow, and sea wave, are widely used as input energy sources for continuous energy harvesting. A new energy‐harvesting technology has emerged based on the mechanical stretch and release of coiled carbon nanotube (CNT) yarns, which generate energy based on the change in the electrochemical double‐layer capacitance. First, this CNT yarn–based mechanical energy harvester is demonstrated, which is applicable to various environments where fluid flow exists. This environment‐adaptable harvester uses rotational energy as the mechanical energy source and is tested in river and ocean environments. Moreover, an attachable‐type harvester for the application of the existing rotational system is devised. In the case of a slow rotational environment, a square‐wave strain‐applying harvester has been implemented, which can convert sinusoidal strain motion into square‐wave strain motion for high output voltages. To achieve high performance of practical harvesting applications, a scale‐up method for powering signal‐transmitting devices has been implemented.
Crack monitoring on concrete structures: Comparison of various distributed fiber optic sensors with digital image correlation method
Authors: Herbers Max , Richter Bertram , Gebauer Daniel , Classen Martin , Marx Steffen 
Published: June 2023

AbstractThe quality of strain measurements using distributed fiber optic sensors (DFOS) depends largely on the bond between the host material and the optical fiber. Experimental investigations were carried out to test the suitability of five different DFOS types for crack monitoring. The DFOS were subsequently bonded to two 4 m long reinforced concrete (RC) beams, so that the influence of the application technique could be evaluated. DFOS measurements were verified by digital image correlation (DIC) and electrical strain gauges (SGs). For the different DFOS types, clear differences in the measured strain curves and determined crack widths were observed. The focus was on two robust DFOS, which can be deployed on construction sites. Compared to the layered sensing cable, a monolithic DFOS showed a clear strain distribution with pronounced strain peaks even for closely spaced cracks. The crack widths obtained by integrating the strain curves showed high agreement with DIC measurements.
Evaluation of recurrent laryngeal neuropathy in domestic and feral horse populations in Australia using histologic and immunohistochemical analysis: A pilot study
Authors: Lean Natasha E. , Franklin Samantha H. , Steel Cate , Woolford Lucy , White Jason , Ahern Benjamin J. 
Published: June 2023

AbstractBackgroundLittle is known about potential differences in the left recurrent laryngeal nerve (Lrln) and left cricoarytenoideus dorsalis (LCAD) muscle between domestic and feral horse populations. If a difference exists, feral horses may provide a useful control population for research related to recurrent laryngeal neuropathy (RLN) and increase our understanding of potential population pressures influencing the incidence RLN.ObjectivesThe objective of this study was to compare the Lrln and LCAD of domestic and feral horses using histological and immunohistochemical techniques (IHC).MethodsSixteen horses, domestic (n= 8) and feral (n= 8), without clinical or ancillary examinations that were processed at an abattoir had the Lrln and LCAD muscle harvested immediately following death. Carcass weights were recorded. Subjective and morphometric histologic assessment were performed on Lrln sections. The LCAD was assessed for myosin heavy chain (fibre type proportion, diameter and grouping using IHC.ResultsFibre‐type grouping consistent with RLN was seen in both groups. Regenerating fibre clusters were more common in domestic compared to feral horses (p= 0.04). No other histologic differences occurred between groups. Muscle fibre typing demonstrated a lower mean percentage of type IIX fibres in the feral group compared to the domestic group (p= 0.03). There was no difference in type I or IIA proportions or mean diameter of any fibre type between the groups.ConclusionsThe domestic population showed evidence of nerve regeneration suggesting RLN in this group, yet this was not supported by the higher proportion of type IIX muscle fibres compared to the feral population. Further evaluation to clarify the significance and wider occurrence of the differences is indicated.
Metabolism of ropinirole is mediated by several canine CYP enzymes
Authors: Tervahauta Tuomas , Uutela Päivi , Koskinen Mikko 
Published: June 2023

AbstractBackgroundRopinirole has been shown to provoke vomiting in dogs by activating the dopamine D2‐like receptors in the chemoreceptor trigger zone. In humans, ropinirole is metabolized primarily by CYP1A2. Corresponding dog CYP1A2 is known to be a polymorphic enzyme which can cause variation in pharmacokinetics of compounds metabolised via this enzyme.ObjectivesThe aim of this study was to understand metabolic clearance of ropinirole in dogs, the enzymes involved in ropinirole metabolism and specially to estimate whether the clearance can be sensitive towards the polymorphism of canine CYP1A2.MethodsMetabolism of ropinirole was studied in dog hepatocytes and specific recombinant canine CYP isoforms. Metabolite identification and metabolite formation were evaluated using LC–mass spectrometry.ResultsRopinirole was moderately stable in dog hepatocytes with Clint of 16.3 μL/min/million cells, and the metabolites detected were 7‐hydroxy ropinirole and respective glucuronide conjugate as well as despropyl ropinirole. Regarding recombinant CYPs either 7‐hydroxy ropinirole, despropyl ropinirole or both were detected for each CYP isoform studied. The highest rates of metabolite formation were observed in CYP2B11, CYP2C21, CYP2D15, CYP1A2 and CYP1A1. Fluvoxamine, a fairly selective human CYP1A/CYP2C19 inhibitor inhibited ropinirole metabolism by CYP1A1, CYP1A2, CYP2B11, CYP2C21 and CYP2D15 for 65.8%–100% showing no selectivity towards canine CYP isoforms.ConclusionsAlthough human metabolism of ropinirole is mainly mediated through CYP1A2, the current study shows that several canine CYP isoforms are able to contribute to the clearance of ropinirole in dogs. This is expected to reduce a possible impact of canine CYP1A2 polymorphism on ropinirole pharmacokinetics.
Corpus Example: Using an Analytical Framework to Characterize First-Year Undergraduate Newspaper Article Writing
Authors: Sterk Florentine Marnel , van Goch Merel M. 
Published: June 2023

AbstractThis chapter details the analysis of a corpus of 140 newspaper articles based on a single academic source text written by first-year undergraduate liberal education students. The analysis is both quantitative and representational, and qualitative and inductive. It is quantitative in the sense that data were produced about the number of times each strategy was employed. In a second, qualitative step, the way the student writers employ each strategy is determined and categorized. In the original analysis, all 34 strategies in the analytical framework were analyzed, but to keep this chapter readable, we only present the results for one strategy out of each theme: describing the method from Subject Matter, applied implications from Tailoring Information to the Reader, mention of statistics from Credibility, stance markers from Stance, and references to the reader from Engagement. To conclude this chapter, we discuss the general insights that can be drawn from this analysis and consider the use of the analytical framework in didactic settings.
A 10d construction of Euclidean axion wormholes in flat and AdS space
Authors: Loges Gregory J. , Shiu Gary , Van Riet Thomas 
Published: June 2023

Abstract
Euclidean wormhole geometries sourced by axions and dilatons are puzzling objects in quantum gravity. From one side of the wormhole to the other, the scalar fields traverse a few Planck lengths in field space and so corrections from the UV might potentially affect the consistency of the solution, even when the wormholes are large. Motivated by this, we carry out the first explicit 10d lifts of regular Euclidean axion wormholes. We start off with the lift of Giddings-Strominger wormholes in $$ \mathcal{N} $$
N
= 8 Euclidean supergravity over a 6-torus to 10d type IIA supergravity and find the solution can be everywhere tuned into the parametrically controlled supergravity regime. Secondly, we construct explicit wormholes in AdS spaces and find them again to be under parametric control. We find the first wormhole solutions in massive type IIA on S3 × S3 and in type IIB on T1,1. The latter has an explicit holographic dual, and similar to the earlier constructions in AdS5 × S5/ℤk, the wormholes violate operator positivity since Tr(F ± ⋆ F)2< 0. This puzzle might arise from subtleties related to computing holographic n-point functions in the presence of multiple boundaries.
Stochastic differential equation modelling of cancer cell migration and tissue invasion
Authors: Katsaounis Dimitrios , Chaplain Mark A. J. , Sfakianakis Nikolaos 
Published: June 2023

AbstractInvasion of the surrounding tissue is a key aspect of cancer growth and spread involving a coordinated effort between cell migration and matrix degradation, and has been the subject of mathematical modelling for almost 30 years. In this current paper we address a long-standing question in the field of cancer cell migration modelling. Namely, identify the migratory pattern and spread of individual cancer cells, or small clusters of cancer cells, when the macroscopic evolution of the cancer cell colony is dictated by a specific partial differential equation (PDE). We show that the usual heuristic understanding of the diffusion and advection terms of the PDE being one-to-one responsible for the random and biased motion of the solitary cancer cells, respectively, is not precise. On the contrary, we show that the drift term of the correct stochastic differential equation scheme that dictates the individual cancer cell migration, should account also for the divergence of the diffusion of the PDE. We support our claims with a number of numerical experiments and computational simulations.
Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm
Authors: García-Aguilar Iván , García-González Jorge , Luque-Baena Rafael Marcos , López-Rubio Ezequiel 
Published: June 2023

AbstractDetection of small objects is one of the main challenges to be improved in deep learning, mainly due to the small number of pixels and scene’s context, leading to a loss in performance. In this paper, we present an optimized approach based on deep object detection models that allow the detection of a higher number of elements and improve the score obtained for their class inference. The main advantage of the presented methodology is that it is not necessary to modify the internal structure of the selected convolutional neural network model or re-training for a specific scene. Our proposal is based on detecting initial regions to generate several sub-images using super-resolution (SR) techniques, increasing the number of pixels of the elements, and re-infer over these areas using the same pre-trained model. A reduced set of windows is calculated in the super-resolved image by analyzing a computed graph that describes the distances among the preliminary object detections. This analysis is done by finding maximal cliques on it. This way, the number of windows to be examined is diminished, significantly speeding up the detection process. This framework has been successfully tested on real traffic sequences obtained from the U.S. Department of Transportation. An increase of up to 44.6% is achieved, going from an average detection rate for the EfficientDet D4 model of 14.5% compared to 59.1% using the methodology presented for the first sequence. Qualitative experiments have also been performed over the Cityscapes and VisDrone datasets.
Virtuelle Stabsarbeit in Zeiten der Pandemie – Entwicklung digitaler Übungsformate in der zivilen Gefahrenabwehr während der Coronapandemie
Authors: Heuser Julian , Tolg Boris , Loer Karsten , Klein Angelina , Sprössel Nadine , Klein Jonas , Haralambiev Lyubomir , Oldenburg Marcus , Militzer Kristina Carolin , Belz Lukas , von Münster Thomas , Harth Volker , Ehlers Lena , de Boer Jens , Kleine-Kampmann Scarlett , Boldt Matthias , Dirksen-Fischer Martin , Wiedemann Markus , Ekkernkamp Axel , Bakir Mustafa Sinan 
Published: June 2023

Zusammenfassung
Hintergrund
Im Bereich der Gefahrenabwehr von Großschadensereignissen, wie einem Massenanfall von Verletzten (MANV) oder von Erkrankten (MANE), sind regelmäßige Übungen essenziell, um im Ereignisfall erfahrene Einsatzkräfte zur Verfügung zu haben. Pandemiebedingt mussten Übungen häufig abgesagt werden oder waren nur in kleinen Personengruppen möglich. Die Abbildung einer Großschadenslage mit Darstellern war häufig nicht möglich, sodass den Übenden keine realitätsnahen Szenarien eines MANV oder MANE angeboten werden konnten. Im Rahmen zweier Forschungsprojekte wurde zur Vermeidung eines Infektionsrisikos von Übungsteilnehmenden eine digitale Plattform zur Durchführung von Übungen genutzt, um den Personaleinsatz vor Ort auf ein Minimum reduzieren zu können. Ziel dieser Arbeit war die Evaluation der digitalen Lösungsansätze in Bezug auf ihre Endnutzerakzeptanz.

Methoden
Im Rahmen des Projekts „Adaptives Resilienz Management im Hafen“ (ARMIHN) wurde eine digitale Übungsplattform angewendet und mithilfe von Teilnehmendenbefragungen nach den Schwerpunkten „Umsetzung“, „Alternativmöglichkeiten“, „Lerneffekt“ und „Nutzbarkeit“ evaluiert. Die Teilnehmenden nutzten die digitale Plattform zum Informationsaustausch sowie zur Kommunikation. Hierfür wurden verschiedene Kollaborationstools in die Plattform eingebettet, welche einen simultanen Austausch von Informationen in Echtzeit ermöglichten. Eine stetige Videokommunikation zu eigenen und auswärtigen Kräften wurde ebenfalls etabliert.

Ergebnis
Das Potenzial der digitalen Plattform als Alternative zu Übungen in Präsenz wurde durch die beteiligten Endanwender im ARMIHN-Projekt mit 90 %iger Zustimmung bestätigt. Auch die Steigerung der subjektiven Fähigkeiten und des Kenntnisgewinns bei einem MANE wurde überwiegend zustimmend bewertet (bis zu 70 %). Teilnehmende, die die Umsetzung des Online-Formats als gut gelungen bewerteten, gaben signifikant häufiger an, dass sich subjektiv ihre Fähigkeiten zum Umgang mit einem MANE verbessert hätten (p = 0,016). Dahingegen wurde eine virtuelle Stabsarbeit in realen Krisensituationen von ungefähr der Hälfte der Befragten kritisch gesehen.

Diskussion
Die Evaluationsergebnisse weisen insgesamt auf die hohe Endnutzerakzeptanz des entwickelten Konzepts hin. Auch wenn angestrebt ist, das System über einen längeren Zeitraum mit größerer Anzahl von Teilnehmenden weiter zu evaluieren, so bestätigen die bereits durchgeführten Untersuchungen die positiven Erfahrungen in den jeweiligen Projekten.
Adult-onset Still’s disease complicated by macrophage activation syndrome during pregnancy: a case-based review
Authors: Wise Leanna , Zell Monica 
Published: June 2023

AbstractAdult-onset Still’s disease is a rare, systemic inflammatory rheumatic disease characterized by recurrent fevers, arthritis, and an evanescent rash. One of the most serious hematologic derangements that can be seen with adult-onset Still’s disease is macrophage activation syndrome. Macrophage activation syndrome is characterized by activation of lymphocytes, resulting in a cytokine storm and hemophagocytosis in the bone marrow, along with multi-organ failure. Adult-onset Still’s disease with macrophage activation syndrome first presenting during pregnancy is exceptionally rare; here, we report two unique cases of such a presentation and review the pertinent literature. Both of our cases presented critically ill with end-organ failure, and responded to immunosuppression; fetal demise was present in one and an emergency caesarean section with a viable fetus was performed in the other patient. Maternal outcomes were favorable in both cases and both patients did well long-term with systemic therapy. Systemic immunosuppression, particularly anti-IL1 therapy, may be considered as treatment for this rare and life-threatening condition when presenting during pregnancy.
A technical characterization of APTs by leveraging public resources
Authors: González-Manzano Lorena , de Fuentes José M. , Lombardi Flavio , Ramos Cristina 
Published: June 2023

AbstractAdvanced persistent threats (APTs) have rocketed over the last years. Unfortunately, their technical characterization is incomplete—it is still unclear if they are advanced usages of regular malware or a different form of malware. This is key to develop an effective cyberdefense. To address this issue, in this paper we analyze the techniques and tactics at stake for both regular and APT-linked malware. To enable reproducibility, our approach leverages only publicly available datasets and analysis tools. Our study involves 11,651 regular malware and 4686 APT-linked ones. Results show that both sets are not only statistically different, but can be automatically classified with F1 > 0.8 in most cases. Indeed, 8 tactics reach F1 > 0.9. Beyond the differences in techniques and tactics, our analysis shows thats actors behind APTs exhibit higher technical competence than those from non-APT malwares.