bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scalable, data-assimilated models predict large-scale shoreline response to waves and sea-level rise
Authors: Vitousek Sean , Vos Kilian , Splinter Kristen D. , Parker Kai , O’Neill Andrea , Foxgrover Amy C. , Hayden Maya K. , Thomas Jennifer A. , Erikson Li , Barnard Patrick L. 
Published: November 2024

AbstractCoastal change is a complex combination of multi-scale processes (e.g., wave-driven cross-shore and longshore transport; dune, bluff, and cliff erosion; overwash; fluvial and inlet sediment supply; and sea-level-driven recession). Historical sea-level-driven coastal recession on open ocean coasts is often outpaced by wave-driven change. However, future sea-level-driven coastal recession is expected to increase significantly in tandem with accelerating rates of global sea-level rise. Few models of coastal sediment transport can resolve the multitude of coastal-change processes at a given beach, and fewer still are computationally efficient enough to achieve large-scale, long-term simulations, while accounting for historical behavior and uncertainties in future climate. Here, we show that a scalable, data-assimilated shoreline-change model can achieve realistic simulations of long-term coastal change and uncertainty across large coastal regions. As part of the modeling case study of the U.S. South Atlantic Coast (Miami, Florida to Delaware Bay) presented here, we apply historical, satellite-derived observations of shoreline position combined with daily hindcasted and projected wave and sea-level conditions to estimate long-term coastal change by 2100. We find that 63 to 94% of the shorelines on the U.S. South Atlantic Coast are projected to retreat past the present-day extent of sandy beach under 1.0 to 2.0 m of sea-level rise, respectively, without large-scale interventions.
Differential neural activity predicts the long-term stability of the effects of positive and negative expectations on pain
Authors: Wolf Maren-Isabel , Wittkamp Christoph Arne , Rose Michael 
Published: November 2024

AbstractExpectations modulating pain perception is a well-researched phenomenon, but less is known about the persistence of expectation effects over longer time-courses. In this preregistered study, we examined the persistence of positive (placebo) and negative (nocebo) expectation effects over one week and investigated whether neural activity on day 1 (fMRI) can predict the stability of these effects one week later (n = 41). We tested whether expectations were reflected in EEG oscillatory activity at the second measurement. Both positive and negative pain modulation effects persisted over the tested time-period and did not undergo extinction. Expectations of higher compared to lower pain led to larger theta-to-alpha EEG activity. Most interestingly, differential neural activity in fMRI was correlated with persistent expectations. Individual differences in the persistence of positive expectation effects were related to reduced amygdala activity and enhanced activity in the anterior insula and dorsolateral prefrontal cortex (DLPFC) during the first session. In contrast, persistence of negative expectation effects was predicted by enhanced thalamus activity. Our findings indicate relatively stable placebo and nocebo effects over longer time courses, but this persistence is based on different neural areas for positive and negative expectations.
A three‐vector model predicting torque control of permanent magnet synchronous motor with a fixed weight coefficient
Authors: Qu Xingyu , Peng Chengkun , Lu Peng , Ge Bing , Zhang Shuang , Wang Qinghe , Li Zhenyang 
Published: November 2024

AbstractThe difficulty of adjusting the weighting coefficients of the cost function in traditional model predictive torque control is addressed by proposing a fixed weighting coefficient three‐vector model predictive torque control (FWC‐MPTC) strategy. The strategy applies three voltage vectors in a control period. The first voltage vector is selected by a fixed coefficient cost function, the second and third voltage vectors are determined by a cost function that includes only torque and flux, and the third voltage vector is no longer just a traditional zero vector. In addition, to solve the problem of poor disturbance immunity of the speed loop PI controller, an active disturbance rejection controller (ADRC) is introduced in the speed loop, and the error non‐linear function in the controller is rewritten into a smoother new function. The proposed control strategy reduces the torque and speed fluctuation of the traditional three‐vector model predictive control (TTV‐MPTC), improves the robustness of the system, avoids the difficulty of adjusting the weight coefficient in the traditional cost function, and reduces the computational complexity of the cost function.
Development of optimal participating strategy for source‐grid‐load‐storage integrated projects in electricity markets with multi‐stage joint optimization
Authors: Li Zihao , Yang Yu , Shi Yifan , Yao Li , Liu Wei , Wen Fushuan 
Published: November 2024

AbstractTo promote peer‐to‐peer trading in a distribution system with the franchise owned by the concerned distribution company respected, a so‐called “source‐grid‐load‐storage” (SGLS) integrated project is promoted in China. Given this background, this paper proposes a multi‐stage joint optimization model to optimize the participating strategy for SGLS‐IPs in electricity energy and ancillary service markets. A multi‐energy flow park model is presented with electricity, gas, and heat included. A two‐stage model for optimal participating strategy of SGLS‐IPs in electricity and ancillary service markets is then presented. Through scenario analysis of a sample system, the attained revenue of an SGLS‐IP in different markets is evaluated. Additionally, a bilevel Stackelberg game model is introduced for internal electric vehicle clusters (EVCs) within an SGLS‐IP, with the upper level representing an SGLS‐IP, and the lower level representing EV users engaging in the game. The effectiveness of the model is validated through case studies. Simulation results demonstrate that reasonable market participation and pricing strategies contribute to the efficient allocation of resources within a SGLS‐IP and a win‐win outcome for both the SGLS‐IP entity and EV users.
Distributed multi‐target tracking via consensus‐based Arithmetic Average fusion
Authors: Guan Xin , Lu Yu 
Published: November 2024

AbstractThis paper proposes a multi‐target tracking fusion algorithm based on consensus arithmetic averaging to address the limitations of the sensor detection field of view and information fusion difficulty when tracking multiple targets in a distributed Airborne passive bistatic radar (APBR) network. Labelled Multi‐Bernoulli (LMB) filters are executed locally when each node estimates multi‐target tracks. A consensus strategy is utilised to execute the information interaction among sensors, taking into account the limited detection field of view of a single sensor. The paper proposes the LMB Consensus Arithmetic Average (LMB‐CAA) fusion algorithm to address the issue of label inconsistency in multi‐sensor LMB density fusion. The proposed algorithm is based on label decomposition and reconstruction and aims to avoid the influence of label mismatch on the fusion effect while simultaneously ensuring that the fusion is closed during information interaction and fusion. Simulation results demonstrate that the proposed algorithm can stably estimate multi‐target tracks and improve the multi‐target tracking fusion accuracy of distributed APBR networks.
Design of a stagger‐tuned high‐power low‐stress capacitive wireless power transfer system
Authors: Williams Kyle John , Town Graham , Deilami Sara , Taghizadeh Foad 
Published: November 2024

AbstractCapacitive power transfer (CPT) has emerged as a promising alternative to traditional inductive methods. CPT offers advantages like cost‐effectiveness, reduced weight and volume, and greater tolerance to alignment errors. However, the high‐Q resonant circuits used as matching networks can be susceptible to high voltage stress, especially when transmitting substantial power. Consequently, designing matching networks for CPT systems necessitates consideration of multiple parameters, including practical constraints such as component losses and breakdown thresholds. In this work an innovative algorithm is presented for designing practical matching networks in CPT systems. The algorithm conducts a methodical search of potential solutions, and converges on component values that maximize power transfer efficiency whilst also minimizing component voltage stress. The proposed algorithm is demonstrated theoretically and experimentally.
Towards Enhancing the Capabilities of Indonesian Migrant Workers in Taiwan through the Development of Soft Skills and Preparation for Self-Reliance
Authors: Wisnujati Andika , Wijaya Nur Hudha , Wardana Linda Kusumastuti , Rahaman Mosiur 
Published: November 2024

Introduction Indonesian migrant workers in Taiwan play a crucial role in the labor market but often encounter challenges related to skill deficiencies and dependence on their employers. Addressing these issues through the development of soft skills and preparation for self-reliance. States benefit economically from the remittances sent by Indonesian migrant workers, but these workers often face vulnerability, especially when their contracts expire, and they return to their home countries.
Purpose This study aims to explore the enhancement of Indonesian migrant workers’ capabilities by focusing on the development of soft skills and fostering self-reliance. It seeks to understand how targeted training programs can bridge skill gaps and empower workers.
Methodology A mixed-methods approach was employed, incorporating both quantitative and qualitative data collection. Surveys were distributed to a sample of Indonesian migrant workers to assess their current skill levels and training needs.
Findings The study found that Indonesian migrant workers possess varying levels of soft skills, with significant room for improvement in areas such as communication, problem-solving, and adaptability. Training programs tailored to these needs were shown to enhance workers’ job performance, confidence, and readiness for independent living.
Implications Integrating digital marketing into the enhancement of soft skills and self-sufficiency training for Indonesian migrant workers in Taiwan offers a substantial chance to empower them and promote their economic progress. Proficiency in digital marketing can augment one’s capacity to communicate proficiently, devise innovative solutions to challenges, and adjust to the ever-changing digital environment.
Postoperative Schmerzen nach ambulanten Operationen an der Hand und
am Handgelenk
Authors: Löw Steffen , Dervis Öznur , Kiesel Sebastian , Erne Holger C. , Spies Christian Karl , Unglaub Frank 
Published: November 2024

Zusammenfassung
Hintergrund Handchirurgische Operationen werden im besonderen Maße
zunehmend in den ambulanten Sektor gedrängt. Die postoperative
Schmerzmittelversorgung orientiert sich empirisch an der Schmerzhaftigkeit
einzelner Eingriffe, ohne dass diese systematisch untersucht worden wäre.
Patienten und Methoden Die postoperative Schmerzhaftigkeit (visuelle
Analogskala) von 722 Operationen an Hand- und Handgelenk (01.07.2021 bis
30.06.2023) wurde bis Tag 5 erfasst. Die Analgetikagabe erfolgte empirisch und
nach dem WHO-Stufenschema. Primärer Endpunkt waren Schmerzen nach Gelenk- oder
Knochenoperationen an Tag 1 verglichen mit Weichteil-, endoskopischen Eingriffen
oder Materialentfernungen. Sekundäre Endpunkte waren Schmerzen in Abhängigkeit
von Geschlecht, Alter, Operationsdauer und vorheriger Schmerzmitteleinnahme.
Ergebnisse Operationen an Knochen und Gelenken gingen mit signifikant
(p<0,001) stärkeren Schmerzen (5,42±2,8) einher als andere Operationen
(3,47±2,6). Weibliches Geschlecht (p=0,001), längere Operationsdauer (R>0,2)
und jüngeres Alter (R>0,2) korrelierten schwach mit stärkeren Schmerzen,
während vorherige Opioideinnahme mäßig mit erhöhtem Opioidbedarf (R=0,34)
postoperativ einhergingen. Insgesamt verringerten sich die Schmerzen vom
Operationsabend (4,4±2,8) bis Tag 5 (3,7±2,7; 2,8±2,4; 2,1±2,1; 1,6±1,9;
1,3±1,7) jeweils täglich.
Schlussfolgerung Die Daten geben eine wissenschaftlich fundierte
Orientierung für die Schmerzmittelversorgung bei ambulanten Operationen an Hand
oder Handgelenk. Dabei muss die teils breite Streuung des Schmerzempfindens auch
bei vermeintlich kleinen Operationen beachtet werden.
The perspectives of people living with dementia and their carers on the role of the general practice nurse in dementia care provision: a qualitative study
Authors: Gibson Caroline , Goeman Dianne , Pond Constance Dimity , Yates Mark , Hutchinson Alison M. 
Published: November 2024

Background Models that optimise the role of the general practice nurse have the potential to deliver cost-effective best-practice dementia care in the primary care setting. Patient experience is recognised as a vital contribution to the design, provision and evaluation of healthcare services. The aim of this study was to gain insights into the healthcare needs and experiences of people living with dementia and carers as relevant to the provision of dementia care by general practice nurses. Methods A qualitative design with semi-structured interviews was employed. Data were transcribed verbatim and thematically analysed. Six carers and five people living with dementia who received care from a general practice nurse in the previous 12 months took part in the study. Results Five overarching themes were identified: (1) the general practice nurse and dementia care: a golden opportunity, (2) respectful communication: talk to me and hear what I am saying, (3) person-centred information: tell me what I want to know, (4) provide support: more than just information provision, and (5) include the carer: we are a team. Conclusion This study describes the experiences and healthcare needs of people living with dementia and their carer(s) with regard to the general practice nurse role. These findings can inform strategies to support the general practice nurse provision of dementia care that meet the healthcare needs of people living with dementia and carers.
La participation des enfants lors des interactions entre parents et
professionnel·le·s dans les structures d’accueil de la petite
enfance
Authors: Zogmal Marianne , Garcia Stéphanie 
Published: November 2024

Résumé
La formation des éducatrices·teurs est essentielle pour
implémenter l’encouragement précoce du langage dans les environnements
des structures d’accueil préscolaire. Afin de pouvoir ancrer les
dispositifs de formation dans les pratiques, cette contribution vise à étudier
les contextes institutionnels « ordinaires » et les pratiques interactionnelles
qui s’y déroulent. A partir de données vidéo-ethnographiques, elle
adopte une perspective interactionnelle en analyse du travail pour décrire la
participation des interactants, et notamment des enfants, dans les moments
d’arrivées et de départs. Une focale sur les formes d’adressages
et les ressources sémiotiques permet d’étudier le langage en tant que
processus collectif et distribué qui étaye l’acquisition du langage des
enfants. Dès lors, l’analyse des interactions peut constituer un outil
pour permettre aux professionnel·le·s de mieux comprendre les phénomènes
interactionnels favorisant l’acquisition du langage chez les jeunes
enfants.
Investigation on the density shoulder near the separatrix through monostatic reflectometry in EAST tokamak
Authors: Zhang J , Liu A D , Zhuang G , Zhang J , Zhou C , Yu Y D , Liu H Q , Zang Q , Zhong X M , Dai Z L , Wang M Y , Wang S F , Shi W X , Gao L T , Qiu S C , Li L X , Feng Y F , Chen X Y , Zhang Y Y , Long F F , Lan T , Li H , Mao W Z , Liu Z X , Ding W X , Xie J L , Liu W D 
Published: November 2024

Abstract
The density shoulder represents a universal physical phenomenon that is closely related to the particle and energy transports occurring within the scrape-off layer (SOL) region of tokamak devices. A novel method has been developed to identify the density shoulder through the analysis of the bump structure in the time delay spectra from monostatic microwave reflectometry in EAST tokamak, obviating the need for density profile reconstruction. The density shoulder in EAST is characterized by a number of distinctive features. The density shoulder is mostly situated at a distance of 0–3 cm from the last closed flux surface, with a width of a few centimeters. No significant correlation is observed between its occurrence and the auxiliary heating or the confinement state. In the case of H-mode with quasi-coherent mode (QCM), a significant and positive correlation is observed between the density shoulder amplitude and QCM intensity. In the case of grassy-edge localized mode (ELM)-like H-mode, a density shoulder is also observed during the inter-ELM stage. Furthermore, as supersonic molecular beam injection (SMBI) deposits occur within the range of ρ = 0.9 ∼ 1, the density shoulder is also enhanced during the SMBI fueling process. Moreover, it appears that the neutral pressure has a more pronounced impact on the overall offset of the density profile than the strength of the density shoulder. These results collectively indicate that the outward particle transport from the pedestal to the SOL region plays a crucial role in the evolution of the density shoulder.
Design of reconfigurable logic computing circuit for chaotic system
Authors: Qing Shanying , Ruan Zeyu , Ma Ben , Duan Shukai , Wang Lidan 
Published: November 2024

Abstract
Dynamic reconfigurable systems are an alternative or supplement to improve computer performance, offering advantages such as flexibility and controllability. With increasing attention to information security, the security performance of chaotic systems, as the core of reconfigurable systems, has become a key concern. Aiming at the problem of low safety performance caused by the small application space of the chaotic system, a chaotic system with a larger safety space is designed. Firstly, by improving the one-dimensional chaotic system, we obtain a system with larger chaotic space. The system exhibits simplicity in its structure while possessing a vast chaotic functional domain. Secondly, the dynamic reconfigurable system is designed with the chaotic system as the core, and the circuit simulation is carried out. Finally, a dynamic reconfigurable logic circuit with 16 kinds of complete logic functions is designed, which can realize the reconfigurable system as the core. After circuit simulation and result analysis, the circuit has a pure digital programming platform and rich logic functions. The circuit system provides potential possibilities for designing more efficient and energy-saving circuit schemes. At the same time, it provides solutions for improving the security performance of various applications.
Synthesis and photocatalytic activity of Ag/AgCl for removal of BTX vapors under visible light: modeling by ANN
Authors: Nakhostin Panahi Parvaneh , Fathi Mozhgan 
Published: November 2024

Abstract
Among volatile organic compounds, benzene, toluene, and xylene (BTX) are the most harmful organic compounds and the removal of these harmful compounds is mandatory. In the current study, Ag/AgCl composite was successfully synthesized via deposition–precipitation along with the photoreduction method. The scanning electron microscopy, x-ray powder diffraction, photoluminescence spectroscopy, Fourier transform infrared spectra, and ultraviolet-visible diffuse reflectance spectroscopy were employed to characterize the synthesized products. The photocatalytic property of the products was investigated by evaluating on photodegradation of BTX vapors under the radiation of visible light. The results showed that Ag/AgCl exhibits enhanced visible-light photocatalytic activity compared with AgCl. The strong surface plasmon resonance of metal Ag nanoparticles anchored on the AgCl surface can be responsible for the enhanced visible-light photocatalytic activity of the Ag/AgCl. The influence of the basic operational parameters such as type of BTX, the concentration of BTX, photocatalyst shape, relative humidity, and radiation time on the removal efficiency of BTX was studied. The data obtained from removal tests were modeled by a three-layered feed-forward artificial neural network. The optimized ANN architecture was strong at predicting the removal efficiency of the BTX contaminants with R2 > 0.99 and a very low mean square error. The sensitivity analysis using Garson’s method displayed that all explored process parameters influence the photocatalytic removal of the BTX contaminants. The obtained ANN model is used to predict the photodegradation of BTX at different conditions.
The estimation of growth rate for excited MHD wave triggered by gravitational waves in the relativistic magnetized plasmas in binary merger of neutron stars
Authors: Rehman Umer , Khalid Tooba , Hafeez Hira 
Published: November 2024

Abstract
In this paper, we demonstrated that the gravitational wave and magneto-hydrodynamics (MHD) waves coherently interact in relativistic magnetized plasmas, where they also exchange energy with plasma flows. We developed the formulation for wave interaction moving either parallel or perpendicular to the background plasma magnetic field. In the model, we consider the plasma components to drift in the background and expanding the range of potential evolution. The typical time scales in terms of growth rate for the conversion of energy between gravitational and MHD waves are estimated by the analytical solution of the interaction equations. It is found in particular that there are explosive instabilities that result in the interaction of gravitational and the MHD waves. The process is a significant mechanism for the acceleration of baryons to high Lorentz factors seen in short Gamma-Ray Bursts (GRBs) when the gravitational wave drives MHD modes and delivers energy to the plasma.
Ab initio study of phase stability, elastic anisotropy, and minimum thermal conductivity of MnB2 in different crystal structures
Authors: Wang 王 Xiao-Fan 小凡 , Wang 王 Yi-Xian 乙先 , Wang 王 Zhuo 卓 , Zhang 张 Yu-Xuan 宇轩 , Gu 顾 Jian-Bing 建兵 
Published: November 2024

Abstract
The phase stability, elastic anisotropy, and minimum thermal conductivity of MnB2 in different crystal structures have been investigated by first-principles calculations based on density functional theory. The results found that P63/mmc (hP6-MnB2), P6/mmm (hP3-MnB2), Pmmn (oP6-MnB2),

R

3
¯

m

(hR3-MnB2), Pnma (oP12-MnB2), and Immm (oI18-MnB2) all exhibit mechanical and dynamic stability under environmental conditions, and the sequence of phase stability was hP6 > hR3 > oP6 > oI18 > oP12 > hP3. In addition, Vickers hardness calculations indicated that hP6, hR3, oP6, and oI18 of MnB2 have potential as hard materials, while hP3 and oP12 are not suitable as hard materials. Moreover, the elastic anisotropy of different MnB2 phases were also comprehensively investigated. It is found that the anisotropic order of bulk modulus is oP12 > hP3 > hP6 > hR3 > oI18 > oP6, while that of Young’s modulus is oP12 > hR3 > hP6 > oP6 > hP3 > oI18. Furthermore, the minimum thermal conductivity of different MnB2 phases was evaluated by means of Clarke’s and Cahill’s models. The results suggested that these MnB2 diborides are all not suitable as thermal barrier coating materials.