bluuebunny/crossref_metadata_2025_split huggingface dataset:
TSQ: An Optimized Framework for Efficiently Answering Time Series Queries
Authors: Pu Feifan , Xu Jianqiu 
Published: February 2025

Abstract
Time series data are pervasive, with a multitude of applications across various fields including science, industry, Entertainment, medicine, and biology. These data sets often encompass large volumes of information. In the context of databases containing time series data, the increasing frequency of query tasks, such as (i) point queries, (ii) range queries, and (iii) top-k similarity queries, necessitates the enhancement of query processing efficiency. The question thus arises: how can the efficiency of these data processing tasks be enhanced? The solution is twofold. Firstly, dimensionality reduction algorithms can be employed to reduce the complexity of the data. Secondly, we can focus on the optimization of query algorithms. Consequently, based on these ideas, in this paper, we present an optimized framework for efficiently executing time series queries in the openGauss database, called TSQ. The framework is composed of two primary components: a dimensionality reduction (DR) module and a similarity query (SQ) module. The DR module incorporates several algorithms based on space-filling curves, which, through our enhancements, are capable of handling both high and low precision time series data more effectively. In the context of the SQ module, we employ two main optimization strategies, Early Abandoning and Sliding Window, to greatly improve the efficiency of similarity queries. Experimental results on four real-world time series datasets show that our framework not only optimizes general query tasks but also significantly enhances the efficiency of similarity queries.
From financial inclusion to indebtedness: How FinTech transforms credit access and household financial practices in Buenos Aires, Argentina
Authors: Altaytas Kubra M. 
Published: February 2025

Abstract
Amidst the global ascent of financial technologies (FinTech), Argentina presents a critical case for examining how these platforms shape debt relations among marginalized households. Employing a mixed-methods approach, this article draws on quantitative data from the Central Bank of the Republic of Argentina and the National Institute of Statistics and Censuses, alongside qualitative findings from a case study conducted in Buenos Aires’ largest slum. The article conceptualizes FinTech as an integral part of the lower tiers of the credit market, functioning as a mechanism for extending debt. The findings reveal that FinTech platforms do not displace existing credit sources but instead operate alongside them, providing new channels for debt that deepen financial dependence. FinTech’s role in marginalized communities, therefore, is less about banking the unbanked and more about reconfiguring access to unsecured debt, allowing for immediate consumption amidst financial instability. The article in this way contributes to the literature on FinTech by offering an understanding of FinTech’s embeddedness in everyday financial practices, showing how marginalized users engage with FinTech as a tactical response to their socio-economic conditions, exercising agency within constrained circumstances shaped by debt and financial precarity.
Verifying the Australian MWA EoR pipeline II: Fundamental limits of the AusEoRPipe and the impact of instrumental effects
Authors: Line Jack Laurence Bramble , Trott Cathryn , Barry Nichole , Null Dev , Jordan Christopher H. 
Published: February 2025

Abstract
Detection of the weak cosmological signal from high-redshift hydrogen demands careful data analysis and an understanding of the full instrument signal chain. Here, we use the WODEN simulation pipeline to produce realistic data from the Murchison Widefield Array (MWA) Epoch of Reionisation experiment and test the effects of different instrumental systematics through the AusEoRPipe analysis pipeline. The simulations include a realistic full sky model, direction-independent calibration, and both random and systematic instrumental effects. Results are compared to matched real observations. We find that, (i) with a sky-based calibration and power spectrum approach we have need to subtract more than 90% of all unresolved point source flux (10 mJy apparent) to recover 21-cm signal in the absence of instrumental effects; (ii) when including diffuse emission in simulations, some k-modes cannot be accessed, leading to a need for some diffuse emission removal; (iii) the single greatest cause of leakage is an incomplete sky model; and (iv) other sources of errors, such as cable reflections, flagged channels, and gain errors, impart comparable systematic power to one another and less power than the incomplete sky model.
Do Voters Pay Attention to Transnational Politics? Party Positions, Transnational Families, and Voter Perceptions
Authors: Nonnemacher Jeffrey 
Published: February 2025

Abstract
Do voters pay attention to a party’s relationship with its party family? In this paper, I argue that transnational brands such as the party family label assigned to a party are a valuable tool for parties to use to distinguish themselves. In turn, voters can more accurately position parties on the left-right spectrum when the party embraces the ideological profile of the rest of its party family. Using the Comparative Study of Electoral Systems (CSES) and the German Longitudinal Election Study (GLES), the results confirm my expectations that the ideological alignment of party and party family shapes the accuracy of a voter’s perception of the party’s positions. My findings provide support for the argument that transnational brands can influence how domestic political parties are perceived. These findings have important implications for our understanding of voter responsiveness in an increasingly transnational political space the role of transnational political brands.
The Response of Tropical Cyclone Inner Core and Outer Rainband Precipitation to Warming in Idealized Convection‐Permitting WRF
Authors: Stansfield Alyssa M. , Rasmussen Kristen L. 
Published: February 2025

AbstractGlobal mean and extreme tropical cyclone (TC) precipitation have been increasing over the past few decades and are expected to continue to increase into the future due to climate change. Most projections of future TC precipitation use climate models with grid spacings of 25–100 km, which are too coarse to resolve the convective structures and small‐scale precipitation processes within TCs. This work uses convection‐permitting Weather Research and Forecasting model simulations to investigate how precipitation and precipitation processes change in the inner core (IC) and outer rainbands (OR) of TCs in response to sea surface temperature (SST) warming. The simulations are idealized, with single TCs initialized from weak vortices over domain‐constant SSTs. In these simulations, TC intensity and IC precipitation greatly increase with SST warming while OR precipitation increases slightly. A greater area in the IC is occupied by deep convection more frequently in the warmer simulations, while the deep convective activity remains relatively constant with warming in the TC OR. Mixing ratios of hydrometeors and cloud ice increase with warming in both the IC and OR, while the TCs' vertical circulations deepen, melting levels rise, and mean upward velocities strengthen. This work demonstrates how analysis of three‐dimensional storm structures can provide insight into processes that change TC precipitation in different regions of the storm, and future work will include applying this analysis to more realistic convection‐permitting simulations.
Facial expressions during compound interventions of nociception, conspecific isolation, and sedation in horses
Authors: Lundblad Johan , Rhodin Marie , Hernlund Elin , Bjarnestig Hanna , Hidén Rudander Sara , Haubro Andersen Pia 
Published: February 2025

Abstract
Facial expressions in prey animals such as equines can convey information regarding their internal state and are therefore often used as cues for welfare and pain evaluation. The state of pain is commonly compared to a neutral state with little consideration given to other experiences that could affect the animal, although this situation is rare outside of experimental contexts. To evaluate the effect of managerial contexts on facial expressions from a nociceptive input, conspecific isolation and sedation with known physiological effects were compared to compound states of nociception. Using an anatomically based facial action coding system and a short acting pain model, patterns of facial activity could discriminate between horses experiencing conspecific isolation, sedation, and a nociceptive stimulus separately. Nociception occurring together with conspecific isolation could not be discriminated from the conspecific isolation alone, and compound nociception and sedation could not be discriminated from control. While blinking frequency demonstrated potential to be a valuable marker when evaluating a nociceptive stimulus in sedated horses, careful consideration must be given to the biological interpretation of facial expressions during situations where managerial or drug effects may be present.
Lattice stability of ultrafast-heated gold
Authors: Azadi Sam , Wark Justin S. , Vinko Sam M. 
Published: February 2025

Abstract
First principle simulations within the framework of the finite-temperature density functional formalism predict the existence of nonthermal phase transitions in gold on ultrafast timescales with increasing electron temperature. The Gibbs free energy phase diagram as a function of electronic temperature indicates two solid-solid phase transitions of fcc
$$\rightarrow$$
hcp at an electronic temperature of 1.2 eV and hcp
$$\rightarrow$$
bcc at an electron temperature of 6.8 eV, while the ion lattice remains cold at zero temperature. We present a detailed analysis of the process of phonon-hardening in ultrafast-heated gold, using finite-temperature density functional perturbation theory simulations of the phonon spectra, the quantum thermodynamic phase diagram, and the thermoelastic properties.
scCobra allows contrastive cell embedding learning with domain adaptation for single cell data integration and harmonization
Authors: Zhao Bowen , Song Kailu , Wei Dong-Qing , Xiong Yi , Ding Jun 
Published: February 2025

Abstract
The rapid advancement of single-cell technologies has created an urgent need for effective methods to integrate and harmonize single-cell data. Technical and biological variations across studies complicate data integration, while conventional tools often struggle with reliance on gene expression distribution assumptions and over-correction. Here, we present scCobra, a deep generative neural network designed to overcome these challenges through contrastive learning with domain adaptation. scCobra effectively mitigates batch effects, minimizes over-correction, and ensures biologically meaningful data integration without assuming specific gene expression distributions. It enables online label transfer across datasets with batch effects, allowing continuous integration of new data without retraining. Additionally, scCobra supports batch effect simulation, advanced multi-omic integration, and scalable processing of large datasets. By integrating and harmonizing datasets from similar studies, scCobra expands the available data for investigating specific biological problems, improving cross-study comparability, and revealing insights that may be obscured in isolated datasets.
Recovering Missing Passenger Flow Data in Subway Stations via an Enhanced Generative Adversarial Network
Authors: Yu Hongru , Gu Yuanli , Li Mingyuan , Deng Shejun , Lu Wenqi , Heng Yuming 
Published: February 2025

ABSTRACTTo address the challenges posed by incomplete data in passenger flow prediction and organizational tasks, this paper proposes ProbSparse self‐attention conditional generative adversarial imputation net (ProbSA‐CGAIN), a novel imputation model framework built on the enhanced generative adversarial network (GAN). The model leverages conditional GANs for controlled data generation using external conditional information. It adopts a denoising autoencoder structure for reconstructing and estimating missing passenger flow data. The integration of an efficient ProbSparse self‐attention mechanism captures spatiotemporal evolution features, reducing computational complexity. Additionally, the model incorporates auxiliary conditional information to enhance data imputation accuracy by learning interdependencies among multiple data variables. Further, the model integrates local positional encoding and multi‐layer global temporal encoding, offering diverse perspectives on spatiotemporal information. Experimental evaluations with real passenger flow data demonstrate the model's superiority over advanced baseline models across various missing patterns and rates. Notably, it exhibits high stability in data restoration, particularly for datasets with higher missing rates, affirming its effectiveness in predicting and inferring missing passenger flow data based on auxiliary data and multi‐view positional information, ensuring reliable imputation. The experiments also assess the model's proficiency in attributing different spatiotemporal features, confirming its commendable training and restoration efficiency.
Verrouillages institutionnels des dynamiques d’innovation dans les systèmes agroforestiers structurés par les filières cacao et café en Haïti
Authors: Amazan Jean Fritzner , Temple Ludovic , Paul Bénédique 
Published: February 2025

Cet article étudie les verrous de l’innovation dans les systèmes agroforestiers structurés par les filières cacao et café en Haïti, en questionnant l’environnement institutionnel qui régule leur régime sociotechnique. Il mobilise le cadre d’analyse multi-niveaux de l’innovation, la démarche de recherche-action participative et les données d’enquêtes. L’analyse multi-niveaux est fondée sur la théorie de l’économie institutionnelle pour étudier les verrous institutionnels au sein de ce régime sociotechnique. La recherche-action participative a été mise en œuvre à travers un processus d’innovations socio-organisationnelles basé sur deux dispositifs d’appui-conseil, l’un collectif et l’autre individuel. Les données de terrain sont issues d’entretiens individuels, d’enquêtes formelles et de consultations à dires d’experts. Les résultats ont mis en évidence l’existence de plusieurs verrous à l’adoption d’innovations : (i) le non-alignement entre deux dynamiques de production en termes de gouvernance ; (ii) le fonctionnement hiérarchisé des filières étudiées qui induit une compétitivité dans le système-acteurs, (iii) les formes institutionnelles qui concourent à la stabilisation du régime sociotechnique, bloquant ainsi le développement des niches d’innovation ; (iv) la faible implication des agriculteurs liée à la réduction des actions collectives de type « coopératif » et la non-valorisation des initiatives endogènes (stratégie et savoir-faire) dans les processus d’innovation. Ces résultats soulignent les pistes de déverrouillage par l’activation de leviers sociotechniques portant sur les innovations et les capacités des acteurs.
MacCAT-T zwischen Anspruch und Praxis – Herausforderungen bei der Beurteilung von
Einwilligungsfähigkeit bei Demenz
Authors: Rolfes Vasilija , Hinz Uta , Fangerau Heiner , Voßberg Dilara , Haupt Martin 
Published: February 2025

Zusammenfassung
Hintergrund Die Einwilligung ist Voraussetzung für ärztliches diagnostisches und therapeutisches
Handeln. Ein einheitliches Vorgehen bei der Überprüfung von Einwilligungsfähigkeit gibt es nicht. Für
eine strukturierte Erfassung am weitesten verbreitet ist das MacArthur Competence Assessment Tool for
Treatment (MacCAT-T).
Fragestellung Bei Menschen mit Demenz ist aufgrund der Erkrankung die Einwilligungsfähigkeit
beeinträchtigt. Für die Frage, inwieweit sich strukturierte Erhebungsverfahren bei Menschen mit Demenz
sinnvoll einsetzen lassen, stellen wir mit einem Schwerpunkt auf das MacCAT-T die Funktion, Stärken und
Schwächen strukturierter Erhebungsverfahren vor und diskutieren Vorschläge zur Modifizierung und
Weiterentwicklung des Tools.
Material und Methode Mittels der Literaturdatenbank Pub-Med wurde unter Berücksichtigung der
PRISMA Richtlinien eine systematische Literaturrecherche und -analyse zu Arbeiten durchgeführt, die seit
dem Jahr 2010 veröffentlicht wurden. Ergebnisse Das MacCAT-T ist zwar bei verschiedenen Diagnosen valide
und reliabel anwendbar, kann aber die Gedächtnisproblematik bei Menschen mit Demenz nicht umfassend
berücksichtigen. Es erfasst vornehmlich kognitive Funktionen. Entscheidungen beruhen jedoch auch auf
Emotionen, Intuitionen und Werten, die durch das MacCAT-T nicht erfasst werden. Kommunikative
Einschränkungen bei Demenzkranken werden ausgeblendet.
Schlussfolgerungen Es wird empfohlen, bei Menschen mit Demenz Informationen in einfacher Sprache
zu vermitteln, zu verschriftlichen und zu visualisieren. Die Entwicklung und Ausarbeitung eines
abgestuften Vorgehens bei der Prüfung von Einwilligungsfähigkeit sind angezeigt. Die dabei zu
bestimmenden Abstufungen des Umfangs und der Tiefe der Prüfung sollten sich am Schweregrad der kognitiven
Störungen, dem Nutzen/Risiko-Verhältnis der vorgeschlagenen ärztlichen Maßnahme und dem individuellen
Profil von affektiven Funktionen und wertebasierten Prägungen orientieren.
A design study of deployable wing for a reusable shuttle
Authors: Fan Chuning , Qiao Xiaotao , Chow Jun 
Published: February 2025

Abstract
In recent years, with the rise of the commercial space market, there has been an increasing amount of research and breakthroughs in the field of reusable shuttles, making it a strategic focus for leading spacefaring nations. This paper presents a design of a deployable wing mechanism for a typical reusable spacecraft, enabling the shuttle to be stowed within the fairing after folding. A methodology for validating the design’s feasibility is outlined. By subjecting the critical components of the folding mechanism to structural verification and conducting a rational assessment of the weight increment introduced by the entire system, the rationality of the design has been successfully confirmed.
Study on the influence of Leading-edge gap with drooped spoiler on civil aircraft
Authors: Cheng Changfu , Liu Cangsong , Mao Jun , Wu Dawei 
Published: February 2025

Abstract
For the Adaptive Dropped Hinge Flap (ADHF), there exists a gap between the spoiler and the fixed wing when the spoiler is deflected, which affects the aerodynamic characteristics of the airplane. Numerical simulations are conducted on multi-segment wings with a deflected spoiler, focusing on the aerodynamic effects of the gap around multi-segment airfoils with spoiler deflection. The results show that the gap of the drooped spoiler has a significant influence on the characteristics of lift and drag, reducing the lift line slope of the linear segment, and decreasing the maximum lift coefficient. Also, the presence of the gap causes the stall angle of attack to decrease. Additionally, this effect diminishes with the decrease in the deflection angle of the spoiler.
Development of a high overload resistant micro inertial measurement unit
Authors: Li Yuhu , He Jin , Hao Chunzhao 
Published: February 2025

Abstract
A stepped vibration reduction scheme with double-layer structure anisotropic vibration reduction was creatively proposed, and the stepped vibration reduction design of damping pads and energy-absorbing materials was creatively carried out. A high-overload resistant micro-inertial measurement unit was creatively designed. Compared with the traditional high-overload single impact curve simulation, this paper quantitatively divides the impact duration into microsecond and millisecond stages, and studies the maximum stress and maximum deformation of the high-overload micro-inertial measurement unit through segmented multiple simulations. The simulation results show that the inertial measurement unit meets the index requirement of 20,000 g impact within 12 milliseconds. When the impact curve is in the microsecond stage, the maximum stress and maximum deformation of the high-overload resistant micro-inertial measurement unit reach the peak value. It is suitable to use stress wave theory to analyze the maximum stress and maximum deformation. The artillery test was carried out to determine the damage mechanism of the gyroscope chip. The artillery impact has a large high-frequency component, and the inertial module damping structure is insufficient to reduce the vibration of the high-frequency impact, resulting in the fracture of the gyroscope detection sensitive beam. Further vibration reduction protection design was carried out, and the final data met the requirements of various indicators, which has universal significance for further research on vibration reduction technology.
Research on high-precision measurement technology for aircraft large-scale tooling assembly
Authors: Zheng Weitao , Bi Xiuwen , Yang Feng , Wei Junjie , Jie Lurui 
Published: February 2025

Abstract
With the trend of aircraft component assembly moving towards integration, large size, and high precision, more stringent requirements are being placed on assembly fixtures. This paper conducts a technical study on high-precision measurement techniques for large-scale aircraft assembly tooling. It analyzes the measurement error of points based on laser trackers and the error of changing stations in the measurement unit. By locally establishing a networked measurement system composed of laser trackers to form a measurement unit, an optimized multi-lateral measurement algorithm is adopted to calibrate the reference. The calibration accuracy of the reference as a whole is improved through a ring-closed global optimization algorithm, establishing a global measurement coordinate system. The precision of the large-scale measurement field is verified through experiments, and based on this, a method for constructing the measurement field for large-scale assembly fixtures is analyzed and summarized.
Research on evaluation model of satellite health of space launch site based on parameter statistics
Authors: Tong Fei , Yan Qingqing , Huang Fuqiang , Li Jing , Ling Yang , Lin Yiyong 
Published: February 2025

Abstract
In order to evaluate the health status of the satellite before launch at the space launch site, a satellite evaluation model based on parameter statistics is proposed. By analyzing the satellite test process, the general test items are obtained. The weight factor of the importance of the test item through scoring is set by multiple experts. By subdividing the qualitative and quantitative evaluation items and constructing the calculation model of the healthy degree and stability degree, a set of evaluation methods for the stage healthy degree of the satellite launch site is obtained. After many practices and revisions, the research results can quantitatively evaluate the overall health status of the satellite at the launch site stage, provide a decision basis for whether the satellite meets the launch conditions before launch, and effectively support the satellite test and evaluation work.