bluuebunny/crossref_metadata_2025_split huggingface dataset:
Persistence of anxiety and depression symptoms and their impact on the COVID-19 vaccine uptake
Authors: Shen Yanhan , Penrose Kate , Robertson McKaylee , Piltch-Loeb Rachael , Fleary Sasha , Kulkarni Sarah , Teasdale Chloe , Balasubramanian Subha , Yadav Surabhi , Chan Bai Xi Jasmine , Sanborn Jenna , Sahr Josefina Nuñez , Srivastava Avantika , Nash Denis , Parcesepe Angela 
Published: December 2024

Abstract

Aims
The enduring impact of the COVID-19 pandemic on mental health and its implications for COVID-19 vaccine uptake necessitate comprehensive investigation. We aimed to characterize the persistence of moderate to severe anxiety and depression symptoms from July 2020 to July 2023, explore demographic associations with symptom persistence, and assess how these symptoms affected COVID-19 vaccination uptake between May 2021 and July 2023.

Methods
Participants from the national community-based CHASING COVID Cohort were enrolled between March and June 2020 and completed quarterly follow-ups until December 2023. Scores ≥10 on the Generalized Anxiety Disorder 7-item and the Patient Health Questionnaire 8-item at 14 follow-up assessments indicated moderate to severe anxiety and depression symptoms, respectively. Missing scores were imputed. Persistent anxiety and depression were defined as experiencing moderate to severe anxiety and depression symptoms ≥7 out of 14 follow-up assessments, respectively.

Results
Among 4,851 participants, 15.9% experienced persistent anxiety symptoms and 19.3% persistent depression symptoms from July 2020 to July 2023. Demographic factors associated with symptom persistence included younger age, female or non-binary gender, Hispanic ethnicity, lower education level, household income <$100k, presence of children <18 in the household, greater healthcare barriers and comorbidities. Participants with ongoing moderate to severe anxiety and depression symptoms had 0.95 (95% CI: 0.94, 0.97) and 0.95 (95% CI: 0.93, 0.96) times rates of receiving additional COVID-19 vaccine doses between May 2021 and July 2023, respectively.

Conclusions
Customized support for individuals with mental disorders may mitigate barriers to vaccine uptake. Further investigation is warranted to validate these findings and inform targeted interventions.
Introducing the Visual Conjoint, with an Application to Candidate Evaluation on Social Media
Authors: Vecchiato Alessandro , Munger Kevin 
Published: December 2024

AbstractConjoint experiments have enabled scholars to understand the preferences of citizens in a variety of political contexts. We propose a method to modify the standard text-only “box conjoint” to make the treatment higher in external validity with respect to a common target context. Citizens frequently encounter political information encoded as images and in particular in the form of politicians’ social media posts and profiles. We deploy “visual conjoint” experiments where subjects select between two images that encode the same explicit information as is standard in the box conjoint. We conduct an experiment in which we randomize the modality of a conjoint experiment where subjects evaluate the Twitter profiles of hypothetical candidates. We demonstrate that the visual conjoint more effectively encodes image-based information and social endorsement information. The visual conjoint also allows the salience of different attributes to vary naturally the way they do on social media, in contrast to the artificially enforced uniformity of the box conjoint.
Compaction‐Driven Convection in the Growing Inner Core
Authors: Lim K. W. , Deguen R. , Cébron D. , Schulze A. , Mandea M. 
Published: December 2024

AbstractThe Earth's inner core (IC) is known to exhibit heterogeneous structures with their origins still unknown. From the onset of nucleation, the IC can grow via sedimentation and compaction of iron crystals freezing out from the fluid outer core. Previous studies of IC growth have shown entrapment of fluid within the solid matrix, and unstable density profiles in 1D can appear depending on the efficiency of fluid percolation. In this study, we perform simulations of IC growth in spherical geometries (assuming axisymmetry). We find that it is possible for the IC to develop large‐scale convective flows under certain conditions and, in some instances, produce small‐scale heterogeneites close to the IC boundary. Assuming representative values for the physical properties of the Earth's IC, we show that it is possible for the IC to exhibit compaction‐driven convection today.
Towards the Development of a Comprehensive Heatwave Proneness Index and Identification of Hotspots Across Indian Mainland
Authors: Sarkar Subharthi , Maity Rajib 
Published: December 2024

AbstractHeatwaves (HWs) are one of the key‐emerging climatic hazards, with increasing duration, severity, and frequency all over the globe. Identifying HW‐prone regions and their evolving patterns is therefore essential for effective climate adaptation. To address this, we introduce the “Heat‐Wave Proneness Index (HWPI),” a novel metric to identify the key‐exposed regions or hotspots by integrating three key HW attributes—(a) the maximum annual HW magnitude, (b) the mean HW magnitude excluding the maximum (MeanX), and (c) the annual frequency (Frq) of HW events. By applying HWPI across the Indian mainland, we demonstrate its superiority to capture diverse regional variations in HW‐exposure more effectively than one of the widely‐used HW‐indices—Heat‐Wave Magnitude Index daily (HWMId). Further to validate the reliability of the proposed index, top 10 HW‐affected years are identified across India since 1951, out of which four are found from the recent past decade (2010–2019) itself. A comprehensive spatiotemporal analysis is also conducted using the proposed HWPI, over the historical (1951–2020) and future (2021–2050) periods, which reveals the western, central, north‐eastern and western peninsular India to be the most HW‐prone regions in the country. India as a whole will experience approx. two‐fold increase in HW‐ proneness toward mid‐century relative to the 1981–2010 baseline, as depicted from the multi‐model multi‐scenario analysis. Overall, we expect the newly proposed HWPI and visual identification of the future‐projected HW‐prone regions will not only be useful to the scientific community but also for the policymakers to build climate‐informed decisions sufficiently in advance.
Static and Dynamic Model Calibration for Upper Thermosphere Determination
Authors: Ruan Haibing , Lei Jiuhou , Lu Jianyong 
Published: December 2024

AbstractThermospheric density, a crucial factor in spacecraft operations, poses a significant challenge in accurate determination due to the intricate coupling of the thermosphere‐ionosphere system. Despite capturing long‐term trends, the widely used empirical models, which are used for low Earth orbit spacecraft operations, often fail to reproduce small‐scale or short‐term variations in the thermosphere. This work presents a novel approach for model improvement. The background model employed is our recently developed empirical model, which blends numerical simulations and satellite measurements. The model residuals are compiled into longitude and latitude bins, and the corresponding basic modes of describing variabilities are subsequently derived via the PCA method. The attendant amplitudes exhibit significant local time and seasonal dependencies, motivating optimized parameterization, that is, static calibration. Moreover, the present study reveals that the most dominant mode correlates to land‐sea contrasts and manifests global synchronicity upon excluding local time and seasonal dependences. This establishes the real‐time model adjustment foundation by exploiting limited calibration observations, which is referred to as dynamic calibration. The results from the dynamic calibration model indicated considerably improved thermospheric representation, especially for small‐scale or short‐term variations, toward a better thermospheric prediction.
Interval compression‐based model‐free control algorithm for reducing actuator execution frequency
Authors: Zhou Yitong , Chang Jing , Chen Weisheng , Dai Hao 
Published: December 2024

AbstractThe complexity of real‐world systems poses challenges to model‐based control, sparking significant interest in model‐free control methods. By depending exclusively on the system's input–output data, the proposed method eliminates the need to construct intricate internal system models. The implementation is straightforward, can satisfy bounded control inputs, and allows for arbitrary adjustment of the actuator's execution frequency. The proposed method establishes an iterative mechanism under the constraint of bounded control inputs. It guarantees the algorithm's convergence by ensuring the continuous narrowing of the control interval. Furthermore, the update conditions within the iterative strategy can adapt to extremely low and continuously adjusting actuator execution frequencies. The bounded stability of the control method is proven using the continuity definition of functions. Its effectiveness and feasibility are validated through simulation and experimental verification.
Dual‐polarization 3D FSR with a high selectivity and wide transmission passband
Authors: Yan Yuchen , Wu Weiwei , Ma Yuhong , Huang Jingjian , Yuan Naichang 
Published: December 2024

AbstractThis letter, based on 3D slotline structures (SLSs), proposes a dual‐polarization frequency selective rasorber (FSR) with a high selectivity and wide transmission passband. The broadband transmission and absorption paths are created by etching three independent SLSs onto the 3D periodic printed circuit boards (PCBs). These include an open‐circuit slotline that is loaded with both a metal strip and an LC structure at its centre, as well as two short‐circuit slotlines that are loaded with lumped resistors. With this design, two transmission zeros (TZs) are introduced to achieve a fast transition between the passband and absorption bands. Through analysing surface currents and electric field distributions, the working principle is elucidated. The proposed FSR is designed, manufactured, and measured. Simulation and experimental results demonstrate that the presented FSR exhibits broadband characteristics, high selectivity, and angular stability.
An induction machine‐based drive system and supervisory control for application to smart water‐pumped storage and networks
Authors: Ebrahim O. S. , Badr M. A. 
Published: December 2024

AbstractThe authors present an effective induction machine (IM) drive system and intelligent supervisory control for application to smart water‐pumped storage and networks. The main IM drive unit comprises reduced voltage starter, regenerative clutch/variable speed mode fluid coupling and reversible pump to allow bidirectional power flow. Under the wide umbrella of supervisory control, the following objectives are achieved: (1) Recurrent neural network (RNN) and RNN‐aided Kalman filter are proposed for wired and wireless sensor fault‐tolerant control of the plant based on Wald's likelihood ratio test. (2) Cheap fuzzy logic‐based availability assessment scheme is presented and deployed on cloud to arrange for preventive maintenance of the starter. (3) Robust energy saving mode decision‐making algorithm is developed for best energetic cost reduction. (4) Remote synchronisation method of multi‐motor starting with a mechanically switched capacitor is introduced to minimise voltage dip. Further, an auxiliary inverter fed pump unit is adopted to improve system availability and revenue. The validity and superiority of the proposed drive system and control are confirmed through theoretical analysis, computer simulations, cost study, efficiency evaluation and application example to a single‐pump water network during motor and generator operational modes using preliminary test results.
Frequency‐diverse aperture imaging using an open cavity with a rough base
Authors: Rashidi‐Ranjbar Ehsan , Rashed‐Mohassel Jalil A. , Dehmollaian Mojtaba 
Published: December 2024

AbstractThis paper proposes a single‐shot computational imaging using a new frequency‐diverse aperture, an open‐ended cavity with a rough surface base. First, it shows that scattering from a conducting rough surface made of conducting cones placed at random positions on a conducting ground plane, normally illuminated by an ultra‐wideband horn antenna (working in the 2–20 GHz range) provides random patterns with a frequency correlation function (FCF) width of Δf, about hundreds of MHz. Next, by introducing four conducting walls placed around the rough surface, it obtains a higher number of spatially uncorrelated radiation patterns and a narrower FCF width of about Δf/10, tens of MHz. To approximate the radiation patterns and measurement matrices in the numerical simulations, the geometrical optics (GO) approximation is used taking into account multiple interactions. On the other hand, to estimate them in practice, a trihedral corner reflector installed on an XYZ positioning table is employed. Finally, the image of a planar object with the shape of plus is reconstructed using the minimum least‐squares technique. The paper shows that for a 0.81 square metre image size, a decent‐focused image with a pixel size of about 0.81/400 square metres (about 5 cm × 5 cm) is realisable by using 400 frequency samples within the frequency range of 2–20 GHz.
A study of particle acceleration, heating, power deposition, and the damping length of kinetic Alfvén waves in non-Maxwellian coronal plasma
Authors: Ayaz S. , Zank G. P. , Khan I. A. , Li G. , Rivera Y. J. 
Published: December 2024

Context. The heating of the solar corona and solar wind, particularly through suprathermal particles and kinetic Alfvén waves (KAWs) within the 0–10 RSun range, has been a subject of great interest for many decades. This study investigates and explores the acceleration and heating of charged particles and the role of KAWs in the solar corona.
Aims. We investigate how KAWs transport energy and accelerate and heat the charged particles, focusing on the behavior of perturbed electromagnetic (EM) fields, the Poynting flux vectors, net power transfer through the solar flux loop tubes, resonant particles’ speed, group speed, and the damping length of KAWs. The study examines how these elements are influenced by suprathermal particles (κ) and the electron-to-ion temperature ratios (Te/Ti).
Methods. We used kinetic plasma theory coupled with the Vlasov-Maxwell model to investigate the dynamics of KAWs and particles. We assumed a collisionless, homogeneous, and low-beta electron-ion plasma in which Alfvén waves travel in the kinetic limits; that is, me/mi ≪ β ≪ 1. Furthermore, the plasma incorporates suprathermal high-energy particles, necessitating an appropriate distribution function to accurately describe the system. We adopted the Kappa distribution function as the most suitable choice for our analysis.
Results. The results show that the perturbed EM fields are significantly influenced by κ and the effect of Te/Ti. We evaluate both the parallel and perpendicular Poynting fluxes and find that the parallel Poynting flux (Sz) dissipates gradually for lower κ values. In contrast, the perpendicular flux (Sx) dissipates quickly over shorter distances. Power deposition in solar flux tubes is significantly influenced by κ and Te/Ti. We find that particles can heat the solar corona over long distances (RSun) in the parallel direction and short distances in the perpendicular direction. The group velocity of KAWs increases for lower κ values, and the damping length, LG, is enhanced under lower κ, suggesting longer energy transport distances (RSun). These findings offer a comprehensive understanding of particle-wave interactions in the solar corona and wind, with potential applications for missions such as the Parker Solar Probe, (PSP), and can also apply to other environments where non-Maxwellian particle distributions are frequently observed.
Phenylketonurie und maternales PKU-Syndrom
Authors: Rohde Carmen , Thiele Alena G. , Tomm Anne , Arélin Maria , Beblo Skadi 
Published: December 2024

ZUSAMMENFASSUNGDie Phenylketonurie (PKU) ist die häufigste angeborene Stoffwechselerkrankung des Aminosäurestoffwechsels. Nach ihrer Entdeckung in den 1930er-Jahren, der Etablierung einer Therapie in den 1960er-Jahren und Einführung eines Neugeborenenscreenings Anfang der 1970er-Jahre gilt sie heute als Modellerkrankung für viele andere angeborene Stoffwechselerkrankungen. Unbehandelt führt die klassische PKU zu schwerster psychomotorischer Retardierung. Allein durch eine spezifische Ernährungstherapie von Geburt an kann dies verhindert werden. Die Patienten können sich darunter altersgerecht und gesund entwickeln ohne Einschränkung bezüglich ihrer schulischen und beruflichen Laufbahn. Neuere erfolgreiche therapeutische Ansätze umfassen die Kofaktortherapie mit Sapropterinhydrochlorid bzw. zukünftig mit Sepiapterin sowie die Möglichkeit einer Enzymsubstitutionstherapie mit Pegvaliase. Der Familienplanung bei bestehender PKU steht heutzutage nichts im Wege. Frauen mit PKU können gesunde Kinder zur Welt bringen, vorausgesetzt die Schwangerschaft wurde sorgfältig geplant, die Frau hält sich konsequent an die strikte Phe-bilanzierte Diät und es besteht eine gute metabolische Einstellung während der gesamten Schwangerschaft. Andernfalls besteht ein hohes Risiko für ein maternales PKU-Syndrom, einer schweren Embryo-/Fetopathie des ungeborenen Kindes, die klinisch dem fetalen Alkoholsyndrom stark ähnelt. Dementsprechend ist eine ungeplante Schwangerschaft bei PKU-Patientinnen ein medizinischer Notfall und die Vermeidung des maternalen PKU-Syndroms ist das wichtigste Ziel der professionellen Betreuung von Frauen mit PKU im gebärfähigen Alter. Hierbei ist neben einer kontinuierlichen intensiven Betreuung der jungen Frauen mit PKU in spezialisierten Stoffwechselzentren die Unterstützung durch den Partner die wesentliche Voraussetzung. Spezielle Schulungsseminare für junge Frauen mit PKU gemeinsam mit ihren Partnern werden derzeit zunehmend etabliert.
Risk Assessment of FMS and YBT on Sports Injuries in Collegiate
Athletes
Authors: Xie Mingyang , Zhang Rui , Gong Yuxi 
Published: December 2024

AbstractThis prospective cohort study investigated the predictive validity of the
Functional Movement Screen (FMS) and Y Balance Test (YBT) for sports injuries in
458 collegiate athletes across various sports. Preseason screening using FMS and
YBT was conducted, followed by injury data collection over the competitive
season. Logistic regression analysis examined the relationship between screening
scores and subsequent injury risk. Results indicated that lower composite FMS
scores (≤14) were associated with increased injury risk (OR=2.32; 95% CI:
1.54–3.48; p<0.001), as were YBT anterior reach asymmetries > 4 cm
(OR=2.16; 95% CI: 1.43–3.26; p<0.001). The combination of both risk factors
demonstrated the strongest association (OR=3.57; 95% CI: 2.18–5.83; p<0.001)
when compared to individuals with FMS scores >14 and YBT asymmetry
< 4 cm.The combination of low FMS scores and YBT asymmetries demonstrated the
strongest predictive value. These findings underscore the value of the FMS and
YBT as screening tools to identify collegiate athletes who may be at elevated
risk for sports injuries, potentially guiding the implementation of targeted
injury prevention strategies.
Persuasive claims in Chinese real estate advertisements
Authors: Lai Chung Yee , Cheung Kwok Yip , Lau Wan Man 
Published: December 2024

Abstract
This exploratory study adopts qualitative and quantitative methods to examine Chinese presuppositions in 132 real
estate advertisements from 2007 to 2022. From the advertisements, we have identified a list of lexical items and syntactic
constructions that trigger presuppositions in Chinese. We analyze how the presuppositions convey persuasive claims in Chinese real
estate advertisements and contribute to the literature by presenting a novel framework including new categories and subtypes for
analyzing Chinese presuppositions for future research. Statistical frequencies of presupposition triggers are identified to
describe their occurrence in Chinese real estate advertisements. The study provides insights for consumers to improve their
ability to identify presupposition triggers and for regulatory bodies to monitor the presupposed contents.
Doing things with grammar
Authors: Khachaturyan Maria , Sandman Erika , Crane Thera Marie 
Published: December 2024

Abstract
This paper studies the way utterances project properties of the interactional context via the choice of
grammatical indexicals. Our analysis is an original combination of existing theoretical developments including notions of
grammatical indexicality (Silverstein 1976), of the relational structure of indexical
reference (Hanks 2014) and of presupposition accommodation (von Fintel 2008; Heim 1982; Karttunen 1974, among others). While Silverstein (1976) suggested that
different types of grammatical indexicals can be (relatively) context-creating or (relatively) context-presupposing, we argue that
presupposition vs creativity is not a property of specific categories, but rather of tokens in a given context and that in natural
interaction, they are subject to negotiation. While all indexicals are presupposing, there are two types of uses of pragmatic
presupposition involved forming a scale (Mazzarella & Domaneschi 2018; Sbisà 1999): non-informative (when the presupposition is already part of common ground of
the interlocutors) and informative (when the presupposition needs to be accommodated by the addressee). The theoretical analysis
is grounded in a discussion of data on evidentiality, egophoricity, pronouns of address, demonstrative reference, and tense and is
based on literature review, as well as first-hand recordings of conversations in Wutun (mixed Sinitic language, China) and Mano
(Mande, Guinea).
Anomalous relaxation behaviour in La0.7Sr0.3MnO3 (LSMO)-ZnO nanocomposite
Authors: Chatterjee Sumon , Kundu Tapas Kumar 
Published: December 2024

Abstract
The temperature-dependent relaxation behaviour and the conduction mechanism in LSMO-ZnO nanocomposite have been studied by employing complex impedance spectroscopic techniques. The imaginary part of impedance exhibits a relaxation phenomenon, with the relaxation frequency showing a Gaussian-like dependence on temperature. At temperatures below 340 K the relaxation frequency increases with increase in temperature due to the reduction in grain and grain boundary resistances. However, an unusual decreasing nature of relaxation frequency with increase in temperature, above 358 K, is observed. This feature is explained in terms of an increased value of the grain boundary capacitance owing to a transition from bipolaron hopping to single polaron hopping. Such anomalous relaxation behavior makes the nanocomposite a suitable candidate for applications in sensors, switches, actuators etc. The dispersion behavior of the AC conductivity is explained with Jonscher’s law involving small polarons. The study confirms that the correlated barrier hopping (CBH) is the dominant dynamic process involved in the AC conduction mechanism in LSMO-ZnO nanocomposite across the measured range of temperature.
Oscillation criteria for nonlinear fractional (p, q)-difference equations
Authors: Yu Changlong , Li Shuangxing , Li Jing , Wang Jufang 
Published: December 2024

Abstract
The main aim of this paper is to investigate the oscillatory behavior of solutions for nonlinear Riemann-Liouville fractional (p, q)-difference equations. We obtain sufficient conditions for the oscillation of solutions using Young’s inequality and various other inequalities. Additionally, we present results by substituting the Riemann-Liouville (p, q)-differential operator with the Caputo (p, q)-fractional difference operator. It is noteworthy that some MATLAB codes for the (p, q)-analogues, (p, q)-derivatives, (p, q)-integrals, and (p, q)-gamma functions are provided. Finally, two illustrative examples validate the main theorems presented in this paper.