bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on two‐level energy management based on tiered demand response and energy storage systems
Authors: Wang Danhao , Peng Daogang , Huang Dongmei , Ren Lan 
Published: May 2024

AbstractIn response to the escalating demands of the electricity market for load dispatch optimization and the stable operation of power systems, the design of effective incentive mechanisms to guide user electricity consumption behaviour has become an urgent task. This study addresses the complexity of the power load dispatch system by analysing the characteristics and interrelations of large‐scale user load demand responses. A dual‐layer energy management model was constructed, and a demand response incentive mechanism was designed. Adaptive incentive strategies were formulated according to different electric power user demand response scenarios. Furthermore, an optimal incentive decision‐making technology oriented towards user comfort was proposed, achieving an integrated function of strategy formulation, implementation, analysis, and optimization for power demand response. Through typical applications in core business scenarios such as elasticity of power user demand response, tiered incentive mechanisms, and comprehensive user utility, the model and strategies have been confirmed to optimize the economic benefits of virtual power plants and demand‐side electricity users under the premise of ensuring user comfort. This provides a novel solution for the efficient operation of the power market.
Asteroid spin and shape properties from Gaia DR3 photometry
Authors: Cellino A. , Tanga P. , Muinonen K. , Mignard F. 
Published: May 2024

Context. The third data release of Gaia, in June 2022, included the first large sample of sparse photometric data for more than 150 000 Solar System objects (SSOs), mainly asteroids.
Aims. The SSO photometric data can be processed to derive information on the physical properties for a large number of objects, including spin properties, surface photometric behaviour in a variety of illumination conditions, and overall shape.
Methods. After selecting a set of 22 815 objects for which an adequate number of accurate photometric measurements had been obtained by Gaia, we applied the ‘genetic’ algorithm of photometric inversion developed by the Gaia Data Processing and Analysis Consortium to process SSO photometric data. Given the need to minimise the required data processing time, the algorithm was set to adopt a simple triaxial ellipsoid shape model.
Results. Our results show that in spite of the limited variety of observing circumstances and the limited numbers of measurements per object at present (in the majority of cases no greater than 40 and still far from the number expected at the end of the mission of about 60–70), the proportion of correct determinations for the spin period among the observed targets is about 85%. This percentage is based on a comparison with reliable literature data following a moderate filtering procedure developed to remove dubious solutions.
Conclusions. The analysis performed in this paper is important in the context of developing further improvements to the adopted data reduction procedure. This includes the possible development of better solution filtering procedures that take into account, for each object, the possible presence of multiple, equivalent spin period solutions that have not been systematically investigated in this preliminary application.
Evolution of rotating massive stars adopting a newer, self-consistent wind prescription at Small Magellanic Cloud metallicity
Authors: Gormaz-Matamala A. C. , Cuadra J. , Ekström S. , Meynet G. , Curé M. , Belczynski K. 
Published: May 2024

Aims. We aim to measure the impact of our mass-loss recipe in the evolution of massive stars at the metallicity of the Small Magellanic Cloud (SMC).
Methods. We used the Geneva-evolution code (GENEC) to run evolutionary tracks for stellar masses ranging from 20 to 85 M⊙ at SMC metallicity (ZSMC = 0.002). We upgraded the recipe for stellar winds by replacing Vink’s formula with our self-consistent m-CAK prescription, which reduces the value of the mass-loss rate, Ṁ, by a factor of between two and six depending on the mass range.
Results. The impact of our new [weaker] winds is wide, and it can be divided between direct and indirect impact. For the most massive models (60 and 85 M⊙) with Ṁ ≳ 2 × 10−7 M⊙ yr−1, the impact is direct because lower mass loss make stars remove less envelope, and therefore they remain more massive and less chemically enriched at their surface at the end of their main sequence (MS) phase. For the less massive models (20 and 25 M⊙) with Ṁ ≲ 2 × 10−8 M⊙ yr−1, the impact is indirect because lower mass loss means the stars keep high rotational velocities for a longer period of time, thus extending the H-core burning lifetime and subsequently reaching the end of the MS with higher surface enrichment. In either case, given that the conditions at the end of the H-core burning change, the stars will lose more mass during their He-core burning stages anyway. For the case of Mzams = 20–40 M⊙, our models predict stars will evolve through the Hertzsprung gap, from O-type supergiants to blue supergiants (BSGs), and finally red supergiants (RSGs), with larger mass fractions of helium compared to old evolution models. New models also sets the minimal initial mass required for a single star to become a Wolf-Rayet (WR) at metallicity Z = 0.002 at Mzams = 85 M⊙.
Conclusions. These results reinforce the importance of upgrading mass-loss prescriptions in evolution models, in particular for the earlier stages of stellar lifetime, even for Z ≪ Z⊙. New values for Ṁ need to be complemented with upgrades in additional features such as convective-core overshooting and distribution of rotational velocities, besides more detailed spectroscopical observations from projects such as XShootU, in order to provide a robust framework for the study of massive stars at low-metallicity environments.
Identification of problematic epochs in astronomical time series through transfer learning
Authors: Cavuoti Stefano , De Cicco Demetra , Doorenbos Lars , Brescia Massimo , Torbaniuk Olena , Longo Giuseppe , Paolillo Maurizio 
Published: May 2024

Aims. We present a novel method for detecting outliers in astronomical time series based on the combination of a deep neural network and a k-nearest neighbor algorithm with the aim of identifying and removing problematic epochs in the light curves of astronomical objects.Methods. We used an EfficientNet network pretrained on ImageNet as a feature extractor and performed a k-nearest neighbor search in the resulting feature space to measure the distance from the first neighbor for each image. If the distance was above the one obtained for a stacked image, we flagged the image as a potential outlier.Results. We applied our method to a time series obtained from the VLT Survey Telescope monitoring campaign of the Deep Drilling Fields of theVera C. RubinLegacy Survey of Space and Time. We show that our method can effectively identify and remove artifacts from the VST time series and improve the quality and reliability of the data. This approach may prove very useful in light of the amount of data that will be provided by the LSST, which will prevent the inspection of individual light curves. We also discuss the advantages and limitations of our method and suggest possible directions for future work.
Healthcare Resource Utilization, Costs, Clinical Events, and
Treatment Patterns in Extreme High-Risk Patients for Cardiovascular Events
Undergoing Lipoprotein Apheresis: A German Claims Data Analysis
Authors: Siegert Carsten , Maywald Ulf , Fraass Uwe , Wilke Thomas , Picker Nils , Baumann Severin , Oberstedt Rene , Friederich Andrea 
Published: May 2024

Abstract
Aim Insights into treatment patterns, clinical and economic burden of
patients undergoing Lipoprotein apheresis (LA). 3 cohorts were characterized:
newly treated [Cohort A], experienced [B], matched cohort [C, high CV risk
without LA].
Method Clinical burden was assessed by cardiovascular-related
hospitalizations and procedures. Economic and clinical outcomes were described
over a 12-month baseline period up to 3 years after LA initiation.
Results Absolute LA cases decreased from 1.7 to 1.1 per 100,000 patients.
In Cohort A, rate of major cardiovascular hospitalizations decreased, while
annual healthcare expenditure increased. Cohort B had significantly higher costs
than C.
Conclusion LA may be associated with a reduced frequency of myocardial
infarction-related hospitalizations. However, it is expensive. Alternatives are
needed to reduce its high economic burden.
Die elektronische Patientenakte in Deutschland: Eine qualitative
Studie zur Identifikation akzeptanzsteigernder Faktoren
Authors: Neuheisel Anne , Brandt Florian , Schilling Daniel , Schubert Hans-Joachim 
Published: May 2024

Zusammenfassung
Zielsetzung Das Potenzial der elektronischen Patientenakte (ePA) ist lange
bekannt. Dennoch ist sie noch nicht im Versorgungsalltag angekommen. Woran das
liegt und welche Handlungsempfehlungen sich hieraus ableiten lassen, ist
Gegenstand dieser Studie.
Methodik Es wurde ein qualitativ-explorativer Ansatz gewählt: Das
Experteninterview. Die Interviews wurden leitfadengestützt geführt,
transkribiert und mittels qualitativer Inhaltsanalyse ausgewertet.
Ergebnisse Daten wurden in zehn Experteninterviews erhoben. Als
wesentliche Handlungsbedarfe wurden identifiziert: Verbesserung der
Benutzerfreundlichkeit, aufwandsärmere Integration in den Praxisalltag,
Schaffung spürbarer Mehrwerte und Förderung der Digitalkompetenz bei allen
Beteiligten.
Schlussfolgerung Wenn die genannten Stellschrauben richtig justiert
werden, kann die ePA „Herzstück“ eines digitalisierten Gesundheitswesens
werden.
Anatomische Auffindbarkeit und Möglichkeiten des Transfers des Nervus
massetericus zur Gesichtsreanimation
Authors: Voraberger Niclas , Rab Matthias , Schwendt Karoline , Weninger Wolfang J. , Neuwirth Maximilian 
Published: May 2024

Zusammenfassung
Hintergrund Der Nervus massetericus (NM) kommt häufig als Spendernerv zur
Reanimation des Nervus facialis zur Anwendung. Neben bereits etablierten
Techniken gewinnt der NM-Transfer vor allem aufgrund der Einzeitigkeit des
Verfahrens und des rekonstruktiven Potenzials zunehmend an Bedeutung. Ziel
dieser anatomischen Arbeit und der angeschlossenen Fragenbogenstudie war die
Evaluation vorbeschriebener Identifikationsmethoden und der Eignung des NM zum
direkten Nerventransfer, sowie die Erhebung des Stellenwertes des NM-Transfers
in der täglichen klinischen Praxis.
Material und Methodik Es wurde die beidseitige Dissektion 25
nativ-gefrorener Köpfe (n=50; 13 weiblich, 12 männlich) von Körperspenden mit
begleitender Vermessung des NM durchgeführt. Im Rahmen einer an etablierten
Zentren für Fazialischirurgie im deutschsprachigen Raum vollzogenen
Fragenbogenstudie wurden mittels der Software SurveyMonkey klinische
Erfahrungswerte des NM-Transfers erhoben. Die gewonnenen Daten wurden mit
Microsoft Excel deskriptiv-statistisch analysiert und in numerischen Tabellen
sowie Boxplots dargestellt.
Ergebnisse Durch die Orientierung an anatomischen Landmarken wie dem Arcus
zygomaticus und der Incisura mandibulae konnte der NM in 100% der Fälle
aufgefunden werden. Die durchschnittliche Länge ab dem Austritt unterhalb des
Arcus zygomaticus bis zum Eintritt in den M. masseter betrug 22 mm und stellte
die zur Transposition verfügbare Länge dar. In 94% der Fälle war die Koaptation
des NM mit dem Ramus zygomaticus damit spannungsfrei möglich. Die
Umfrageergebnisse zeigten, dass der NM als wichtiger Spendernerv bei motorischen
Transfers angesehen wird und der NM-Transfer nunmehr weitestgehend als
Standardverfahren etabliert ist.
Diskussion In Übereinstimmung mit bestehender Literatur konnte der NM
zuverlässig in Projektion auf die Incisura mandibulae aufgefunden werden und war
überwiegend zur spannungsfreien Koaptation mit dem Ramus zygomaticus geeignet.
Unterschiede zu bisherigen Arbeiten zeigten sich hingegen bei der zur
Transposition verfügbaren Länge des Nervs sowie bei der Häufigkeit seiner
Aufteilung in mehrere Äste vor dem Eintritt in den Musculus masseter. Die im
DACH-Raum derzeit favorisierte Methode zur Fazialisrekonstruktion stellt nach
wie vor das Cross-Face Nerve Grafting (CFNG) dar, der NM-Transfer ist allerdings
u. a. aufgrund der geringen Hebestellenmorbidität und kurzen Regenerationszeit
als Alternative oder auch Ergänzung klinisch bereits gut etabliert.
Diskussion des Sicherstellungsauftrags in der Pflege: Kommunale
Einbettung in eine erweiterte „Sicherstellungsverantwortung“ als Impuls für eine
ganzheitliche soziale Infrastruktur
Authors: Herberg Stephan , Zerth Jürgen , Müller Elke-Luise , Teuteberg Frank 
Published: May 2024

ZusammenfassungSteigende Ausgaben in der Pflege belasten die Systeme sozialer Sicherung.
Gleichzeitig erhöht aktuell eine Diskussion um unzureichende Versorgungsangebote
in der Langzeitpflege sowie drohende Insolvenzen bei Leistungsanbietern den
Handlungsdruck auf die Akteure. Der Artikel beleuchtet die Frage, ob ein
Sicherstellungsauftrag in der Pflege besteht, der auch für die Gewährleistung
von Kapazitäten vor Ort Rechnung tragen kann. Die Konzeption des
Sicherstellungsauftrags wird der Ausgestaltung im Rahmen der Gesetzlichen
Krankenversicherung gegenübergestellt. Im interdisziplinären Austausch werden
rechtliche Rahmungen und gesundheitsökonomische Verhaltensmuster beleuchtet. Es
wird diskutiert, ob die kapazitätsgerechte Bereitstellung von
Pflegeinfrastruktur als gesellschaftliche Infrastrukturaufgabe mit einer
alternativen Governance-Ordnung zwischen Bund, Ländern und Kommunen neu
strukturiert werden muss.
Identification and Verification of a Glycolysis-Related lncRNA
Prognostic Signature for Hepatocellular Carcinoma
Authors: Qiu Fakai , Yu Guozheng , Li Mei , Li Zhubin , Zhang Qinyang , Mu Xudong , Cheng Yuan , Zhai Pengtao , Liu Qunyi 
Published: May 2024

AbstractHepatocellular carcinoma (HCC) is a primary liver cancer with a high mortality
rate. The search for a new biomarker could help the prognosis of HCC patients.
We identified the glycolytic gene set associated with HCC and the glycolytic
lncRNA based on TCGA and MsigDB databases. According to these lncRNAs, K-means
clustering, and regression analysis were performed on the patients. Two groups
of HCC patients with different lncRNA expression levels were obtained based on
K-means clustering results. The results of difference analysis and enrichment
analysis showed that DEmRNA in the two HCC populations with significant survival
differences was mainly enriched in transmembrane transporter complex, RNA
polymerase II specificity, cAMP signaling pathway, and calcium signaling
pathway. In addition, a prognostic model of HCC with 4 DElncRNAs was constructed
based on regression analysis. ROC curve analysis showed that the model had good
predictive performance. Drug predictionresults showed that the efficacy of JQ1,
niraparib, and teniposide was higher in the low-risk group than in the high-risk
group. In conclusion, this study preliminarily identified glycolytic-related
prognostic features of lncRNAs in HCC and constructed a risk assessment model.
The results of this study are expected to guide the prognosis assessment of
clinical HCC patients.
Is machine interpreting interpreting?
Authors: Pöchhacker Franz 
Published: May 2024

Abstract
This article first considers the question whether machine translation is translation and moves on to address the
analogous issue for interpreting. After a review of the development and state of the art in machine interpreting, more commonly
referred to as ‘spoken language translation’ or ‘speech translation’, the question of whether machine interpreting is interpreting
is discussed – first with regard to terminology and conceptual distinctions and then in broader translation-theoretical
frameworks. Using Otto Kade’s early definitional proposal as a point of departure, a reconceptualization is proposed in the form
of a three-dimensional model designed to go beyond rigid taxonomies. The dimensions of agency, embodiment and immediacy are used
to characterize translation as a graded concept in which these features may be more or less prominent.
A novel approach for state-of-charge estimation of lithium-ion batteries by quasi-static component generation of ultrasonic waves
Authors: Yuan Xinyi , Wang Yiyu , Li Weibin , Deng Mingxi 
Published: May 2024

Abstract
Lithium-ion batteries content complex internal components, such as porous media and electrolytes, which result in strong scattering and high attenuation of ultrasonic waves in these batteries. The low attenuative feature of the quasi-static components (QSCs) of ultrasonic waves offers great potential for nondestructive assessment of highly attenuating and porous materials. This paper presents an innovative approach for estimating the state-of-charge (SOC) of lithium-ion batteries using QSC of ultrasonic waves. Experimental results demonstrate a clear and repeatable linear relationship between the amplitudes of the generated QSC and the SOC of lithium-ion batteries. In addition, the relationships between different SOCs of the battery and the conventional linear ultrasonic parameters, second harmonic generation (SHG), and the QSC were compared to verify the improved sensitivity of the proposed approach. Notably, compared to linear ultrasonic features and the SHG, the generated QSC shows much higher sensitivity to the variations of SOC. We employ the phase-reversal method to further enhance the signal-to-noise ratio of measured QSC signals. The experimental results demonstrate that the proposed method exhibits a heightened sensitivity to changes in the SOC of batteries, resulting in significantly enhanced detection accuracy and resolution. This method effectively addresses the deficiencies observed in the current detection methods such as limited accuracy and sluggish response times. This method provides a new solution to overcome this challenge. Meanwhile, it also confirms that nonlinear ultrasound promises an alternative method for SOC assessment, providing a foundation for efficient and safe battery management practices.
A more efficient method for wire rope surface defect detection based on fusing cross-stage features and lightweight convolution modules
Authors: Jin Hui , Duan Chengyi , Lu Shiqing , Ding Jun , Xu Shuaiqi , Zhang Ji 
Published: May 2024

Abstract
Detecting surface defects in industrial production presents challenges, including deploying lightweight algorithms on edge devices and balance between detection speed and accuracy. This paper introduces a novel lightweight method YOLO-FP for real-time detection of wire rope defects in industrial environments. Utilizing the YOLOv7tiny framework, we developed a lightweight cross-stage feature fusion module to enhance processing feature information. This mitigates the impact of redundant information from traditional convolution, reducing network size and improving detection speed. Additionally, the YOLO-FP network integrates lightweight convolution modules and an attention mechanism. Trained and tested on data from Changan, Great Wall, and Guangzhou Automobile models, our method achieved a 96.06% mean average precision, surpassing the original YOLOv7tiny model. Furthermore, it reduces the model size by 41.09% and enhances detection speed by 18.53%, making it promising for real-time edge device applications in wire rope production.
Prediction of shield tunneling attitude: a hybrid deep learning approach considering feature temporal attention
Authors: Zeng Liang , Chen Jia , Zhang Chenning , Yan Xingao , Ji Fuquan , Chang Xinyu , Wang Shanshan , Feng Zheng , Xu Chao , Xiong Dongdong 
Published: May 2024

Abstract
Accurate prediction of shield attitude deviation is essential to ensure safe and efficient shield tunneling. However, previous studies have predominantly emphasized temporal correlation, which has limitations in engineering guidance and prediction accuracy. This research proposes a hybrid deep learning approach considering feature temporal attention (FTA-N-GRU) for shield attitude prediction. To elucidate the contributions of each parameter, the Integrated Gradients algorithm is leveraged for parameter sensitivity analysis. The results from the Bangladesh Karnaphuli River Tunnel Project indicate that: the proposed model outperforms other models in prediction accuracy. The integration of feature attention can adaptively allocate attention weights to input parameters, facilitating inexperienced operators in discerning crucial parameter variations and decision-making. By incorporating temporal attention, the model effectively explores the connection among different output time steps, improving overall prediction accuracy and reliability. Consequently, operators are empowered with timely information to proactively adjust operations before deviations occur, underscoring the significance of this approach in promoting safe and efficient shield tunneling practices.
Analytical method and experimental verification of coupled micro-vibration for spacecraft based on mechanical impedance theory
Authors: Chai Jiangshuai , Luo Qing , Wu Hao , Liu Chang 
Published: May 2024

Abstract
Micro-vibrations exert detrimental effects on spacecraft that requires extreme precision performance. Dynamic mass method (DMM) is a component-level grounded micro-vibration measurement method, which is widely used in the analysis of coupled interplay between micro-vibration sources and spacecraft. However, this study reveals that all existing research involving DMM contains a fundamental error during its theoretical derivation. In light of this, the root cause of the error is investigated based on the mechanical impedance theory. Building upon this, a modified dynamic mass method (MDMM) is further proposed, and corresponding solution steps are also given, with emphasis on the treatment of gyroscopic effects of reaction wheels (RWs). To validate this analytical method, a grounded micro-vibration measurement system for RWs is designed and established. Micro-vibrations of an RW are measured under both the rigid-mounted and isolated conditions, respectively. Leveraging the physical parameters of the isolator, MDMM is applied to process the micro-vibration data measured under a rigid-mounted condition, which predicts the transmitted data under an isolated condition. The analytical data produced by MDMM agrees well with the measured results, which partially validates the feasibility and effectiveness of the proposed MDMM. This analytical method proposed in this work can serve as a theoretical tool for both measurement and analysis of the coupled micro-vibrations of sources and spacecraft.
Harmonic series experiments: end-correction factor of the Indonesian Angklung
Authors: Datiatur Rahmat Anggi , Mat Daud Anis Nazihah , Kuswanto Heru , Wilujeng Insih 
Published: May 2024

Abstract
In this study, we employed the harmonic series experiment to determine the end correction factor of the Indonesian Angklung. Indonesian Angklung are categorized as one-closed-end resonance tubes and consist of different lengths that represent different musical notes. The end correction factor of the Indonesian Angklung is determined from the L-intercept of

L

res

versus

1
f

graph. The findings indicate that the experimental values of the end correction factor are less than 6.00% compared to theoretical values. Hence, the harmonic series experiment can be utilized to determine the end correction factor of the Indonesian Angklung.