bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of sulfur doping on superconductivity and charge density wave order in Kagome metal CsV3(Sb1−xSx)5
Authors: Song Fei , Ke Chuan , Liu Yutong , Weng Tianqi , Hsieh Chun-Chang , Cheng Cui Hua , Chen Yongliang , Zhao Yong 
Published: December 2024

Abstract
Recently, the coexistence and competition of superconductivity (SC) and charge density wave (CDW) have emerged in Kagome superconductor AV3Sb5 (A = K, Rb, Cs) under pressure, which has aroused widespread interest. Here, chemical substitution is used to introduce chemical pressure to further investigate the coexistence and competition between CDW and SC states. By preparing CsV3(Sb1−x
S
x
)5 series single crystals and studying their crystal structure, chemical valence states, SC, and electronic transport behavior, it is found that S doping causes significant chemical pressure that is similar to axial mechanical pressure, resulting in suppression on the CDW and enhancement on SC. The T
c−x relationship exhibits a double dome SC, similar to the behavior observed in the CsV3Sb5 under mechanical pressure. In addition, a negative correlation between T
CDW and the disorder degree (measured by residual resistivity) is observed. This correlation is consistent with the observed translational jump in the ρ(T) curve before and after the CDW transition, that is, the temperature coefficient of resistivity does not change before and after the CDW phase transition, but only the resistivity curve shifts to a certain value. This phenomenon reveals that disorder is an important factor affecting the CDW transition of the system. Further, S doping also induces hole band filling effect that results in a decrease in the DOS at E
F and consequently counterbalances the T
c enhancement effect from chemical pressure to a certain extent. The electronic phase diagram of the CsV3(Sb1−x
S
x
)5 system is accordingly established, which demonstrates the correlation between the SC, CDW, disorder degree, and other electronic nature of the system.
Gen TSO: A General JWST Simulator for Exoplanet Times-series Observations
Authors: Cubillos Patricio E. 
Published: December 2024

Abstract

Gen TSO is a noise calculator specifically tailored to simulate James Webb Space Telescope (JWST) time-series observations of exoplanets. Gen TSO enables the estimation of signal-to-noise ratios (S/Ns) for transit or eclipse depths through an interactive graphical interface, similar to the JWST Exposure Time Calculator (ETC). This interface leverages the ETC by combining its noise simulator, Pandeia, with additional exoplanet resources from the NASA Exoplanet Archive, the Gaia DR3 catalog of stellar sources, and the TrExoLiSTS database of JWST programs. The initial release of Gen TSO allows users to calculate S/Ns for all JWST instruments for the spectroscopic time-series modes available as of the Cycle 4 GO call. Additionally, Gen TSO allows users to simulate target acquisition on the science targets or, when needed, on nearby stellar targets within the visit splitting distance. This article presents an overview of Gen TSO and its main functionalities. Gen TSO has been designed to provide both an intuitive graphical interface and a modular API to access the resources mentioned above, facilitating planing and simulation of JWST exoplanet time-series observations. Gen TSO is available for installation via the Python Package Index and its documentation can be found at pcubillos.github.io/gen_tso.
Transition from random self-propulsion to rotational motion in a non-Markovian microswimmer
Authors: Adersh F , Muhsin M , Sahoo M 
Published: December 2024

Abstract
We study the motion of an inertial microswimmer in a non-Newtonian environment with a finite memory and present the theoretical realization of an unexpected transition from random self-propulsion to rotational (circular or elliptical) motion. Further, the rotational motion of the swimmer is followed by spontaneous local directional reversal, yet with a steady-state angular diffusion. Moreover, the advent of this behaviour is observed in the oscillatory regime of the inertia-memory parameter space of the dynamics. We quantify this unconventional rotational motion of the microswimmer by measuring the time evolution of the direction of its instantaneous velocity or orientation. By solving the generalized Langevin model of non-Markovian dynamics of an inertial active Ornstein–Uhlenbeck particle, we show that the emergence of the rotational (circular or elliptical) trajectory is due to the presence of both inertial motion and memory in the environment.
Node ranking based on graph curvature and PageRank
Authors: Qu 曲 Hongbo 鸿博 , Song 宋 Yu-Rong 玉蓉 , Li 李 Ruqi 汝琦 , Li 李 Min 敏 , Jiang 蒋 Guo-Ping 国平 
Published: December 2024

Abstract
Identifying key nodes in complex networks is crucial for understanding and controlling their dynamics. Traditional centrality measures often fall short in capturing the multifaceted roles of nodes within these networks. The PageRank algorithm, widely recognized for ranking web pages, offers a more nuanced approach by considering the importance of connected nodes. However, existing methods generally overlook the geometric properties of networks, which can provide additional insights into their structure and functionality. In this paper, we propose a novel method named Curv-PageRank (C-PR), which integrates network curvature and PageRank to identify influential nodes in complex networks. By leveraging the geometric insights provided by curvature alongside structural properties, C-PR offers a more comprehensive measure of a node’s influence. Our approach is particularly effective in networks with community structures, where it excels at pinpointing bridge nodes critical for maintaining connectivity and facilitating information flow. We validate the effectiveness of C-PR through extensive experiments. The results demonstrate that C-PR outperforms traditional centrality-based and PageRank methods in identifying critical nodes. Our findings offer fresh insights into the structural importance of nodes across diverse network configurations, highlighting the potential of incorporating geometric properties into network analysis.
Three-dimensional simulations of RF wave propagation and power coupling in cold magnetized plasma near an ICRF antenna
Authors: Zhang 张 Lei-Yu 雷宇 , Li 李 Yi-Xuan 屹轩 , Zhang 张 Quan-Zhi 权治 
Published: December 2024

Abstract
The electromagnetic wave propagations and their coupling characteristics in magnetized plasma near the antenna of ion cyclotron range of frequencies (ICRF) is studied based on self-developed 3DFEM-IA code. This code effectively resolves the three-dimensional (3D) geometry and the electromagnetic field using the finite element method. Our findings reveal that the distributions of electromagnetic fields and energy flow density significantly depend on the antenna phases, surface current density on the antenna straps, and background plasma density. Notably, the non-uniform surface current density on the antenna straps, resulting from the presence of induced currents, contributes to a reduction in coupling power within the edge plasma. Furthermore, the calculated coupling impedance increases with plasma density, corroborating well with experimental measurements.
Resonance of hypernuclei with complex momentum representation*
Authors: Zhang 张 Hantao 涵韬 , Chen 陈 Chao-Feng 超锋 , Zhou 周 Xian-Rong 先荣 , Ren 任 Zhongzhou 中洲 
Published: December 2024

Abstract
By combining the Skyrme-Hartree-Fock method with complex momentum representation (CMR), the resonant states of

O,

Ca,

Ca, and

Ni were investigated. The phase shifts for hyperon-nucleus elastic scattering were determined with continuum level density (CLD), and the scattering length as well as the resonance energy were obtained by utilizing the effective range expansion. Our method, abbreviated as CMR-CLD, exhibits good consistency with traditional approaches and provides ground work for investigating scattering and resonance problems in deformed and multi-hyperon hypernuclei.
Influence of the density gradient on turbulent heat transport at ion-scales: an inter-machine study with the gyrokinetic code stella
Authors: Thienpondt H. , García-Regaña J.M. , Calvo I. , Acton G. , Barnes M. 
Published: December 2024

Abstract
Efficient control of turbulent heat transport is crucial for magnetic confinement fusion reactors. This work discusses the complex interplay between density gradients and microinstabilities, shedding light on their impact on turbulent heat transport in different fusion devices. In particular, the influence of density gradients on turbulent heat transport is investigated through an extensive inter-machine study, including various stellarators such as W7-X, LHD, TJ-II and NCSX, along with the Asdex Upgrade tokamak (AUG) and the tokamak geometry of the Cyclone Base Case (CBC). Linear and nonlinear simulations are performed employing the δf-gyrokinetic code stella across a wide range of parameters to explore the effects of density gradients, temperature gradients, and kinetic electrons. A strong reduction in ion heat flux with increasing density gradients is found in NCSX and W7-X due to the stabilization of temperature-gradient-driven modes without significantly destabilizing density-gradient-driven modes. In contrast, the tokamaks exhibit an increase in ion heat flux with density gradients. Notably, the behavior of ion heat fluxes in stellarators does not align with that of linear growth rates, if only the fastest-growing mode is taken into account. Additionally, this study provides physical insights into the microinstabilities, emphasizing the dominance of trapped-electron-modes (TEMs) in CBC, AUG, TJ-II, LHD and NCSX, while both the TEM and the passing-particle-driven universal instability contribute significantly in W7-X.
Machine learning based heart murmur detection and classification
Authors: Fernando Ishan , Kannangara Dileesha , Kodituwakku Santhusha , Sirithunga Asiri , Gayan Samiru , Herath Tharupraba , Lokunarangoda Niroshan , Liyanaarachchi Rukshani 
Published: December 2024

Abstract
Cardiovascular diseases rank among the leading causes of mortality worldwide and the early identification of diseases is of paramount importance. This work focuses on developing a novel machine learning-based framework for early detection and classification of heart murmurs by analysing phonocardiogram signals. Our heart murmur detection and classification pipeline encompasses three classification settings. We first develop a set of methods based on transfer learning to determine the existence of heart murmurs and categorize them as present, absent, or unknown. If a murmur is present it will be classified as normal or abnormal based on its clinical outcome by using 1D convolution and audio spectrogram transformers. Finally, we use Wav2Vec encoder with raw audio data and AdaBoost abstain classifier for heart murmur quality identification. Heart murmurs are categorized based on their specific attributes, including murmur pitch, murmur shape, and murmur timing which are important for diagnosis. Using the PhysioNet 2022 dataset for training and validation, we achieve an 81.08% validation accuracy for murmur presence classification and a 68.23% validation accuracy for clinical outcome classification with 60.52% sensitivity and 74.46% specificity. The suggested approaches provide a promising framework for using phonocardiogram signals for the detection, classification, and quality analysis of heart murmurs. This has significant implications for the diagnosis and treatment of cardiovascular diseases.
Rethinking CIGS solar cells for rear illumination applications
Authors: Choubrac Léo , Pineau Fabien , Bertin Eugène , Arzel Ludovic , Barreau Nicolas 
Published: December 2024

Abstract
This study introduces a chalcogenide-based thin-film solar cell structure optimized for rear illumination, featuring a thinner, wide-bandgap Cu(In,Ga)S2 chalcopyrite absorber. Matching the performance of traditional front-illuminated designs, this configuration paves the way for further photoelectrochemical advances thanks to its metallic top layer, which can serve as a versatile grafting platform that is resistant to their operating conditions.
The examination of impact testing performed on SS-316L specimens fabricated utilizing selective laser melting 3D printer machine
Authors: Abu Zaki Muhammad Syafiq Syazwan , Taib Mohd Taufik , Rahman Irfan Ur , Abu Bakar Mohd Hadzley , Ab Wahab Norfariza Binti 
Published: December 2024

Abstract
The research regarding additive manufacturing methods (AM) is popular among new researchers from industrial workers or university students since this technology is most likely to pioneer manufacturing industries in the future. Almost all the studies conducted by past researchers are related to the material properties of the 3D printing machine regardless of the type of material including Selective Laser Melting (SLM) 3D printing machines which utilize metal powder as the primary material. Plus, there is a study on the difference between virgin and recycled powder material in terms of material properties for SLM 3D printing machines. In this study, we conducted Charpy impact tests on metal specimens fabricated from both virgin and recycled powders, varying the print thicknesses in accordance with ASTM E23 standards. For each thickness parameter, three specimens were produced, irrespective of the material state. The selective laser melting (SLM) machine maintained consistent printing parameters for both virgin and recycled materials, while permitting flexibility in the adjustment of specimen coordinates within the production bed. Therefore, the impact test result will determine which material condition delivers the best result of the specimens’ absorbed energy (J) and impact toughness (J/cm²).
Optimal sizing and allocation of multiple distribution generations for radial distribution networks enhancement using advanced metaheuristic-based osprey optimization algorithm
Authors: Adebayo Isaiah , Sun Yanxia , Ikeh Emmanuel , Salimon Sunday , Aborisade David , Adebiyi Oluwaseyi 
Published: December 2024

Abstract
Due to transmission over a long distance from the point of generation to the consumer residence, the distribution station is faced with various challenges which include but not limited to high-power losses, voltage instability and voltage deviation. Thus, it becomes imperative to mitigate these. In this paper, a metaheuristic optimization approach called Osprey Optimization Algorithm (OOA) is proposed to evaluate the best sites and sizes of multiple Distributed Generations (DGs) on radial distribution networks. The suggested OOA is inspired based on the intelligent conduct of ospreys during hunting. The incorporation of multiple DGs at unity, 0.95, optimal power factor was evaluated, and various scenarios were examined. The effectiveness of OOA was scrutinized on the standard IEEE 33-bus distribution system and validated on a practical distribution network, Ayepe 11 KV 34- bus feeder of the Ibadan Electricity Distribution Company (IBEDC). The results obtained from the simulations depicts that three DG units operating at optimal power factor produced the best outcome when considering total active power loss (TAPL) and total reactive power loss (TRPL) on both networks. A 92.87% reduction on TAPL as well a 91.60% reduction on TRPL was attained on the 33-bus system while on the Ayepe 34-bus system both the TAPL and TRPL reduced by 98.51% when juxtaposing them with their respective base cases. The outcomes obtained corroborate the efficacy and superiority of OOA when comparing them to outcomes from recent optimization approach.
Experimental studies on heat transfer performance of a heat exchanger with drilled twisted tape inserts
Authors: Kumbhar Dnyaneshwar G , Sutar Kailasnath B , Kumar Archit , Lavate Roheshkumar S , Pawar Sanjay R 
Published: December 2024

Abstract
Heat exchangers are vital components in various systems where the crucial process of heat exchange takes place. This process typically occurs across the copper wall of a tube, facilitating the transfer of thermal energy between fluids. However, the efficiency of this heat exchange is fundamentally limited by the geometry of the components of the heat exchanger. To enhance the performance and efficiency it is necessary to increase the rate of heat transfer. By optimizing this process, industries can achieve better energy efficiency, reduced operational costs, and improved system reliability. In the present study experimental study of the heat exchanger was accomplished using the drilled twisted tapes. A simple copper tube was equipped with inserts of twist ratios 2.5, 3.33, and 5.0. Additionally, both a classic type insert and a perforated type insert with perforation diameters of 5 mm and 8 mm were fitted inside the copper tube for experimental testing, analysis, and comparison with the heat exchanger without inserts. Overall, the study confirmed that both the classic twisted and perforated inserts can substantially improve heat exchanger performance, with larger perforations being especially effective in optimizing heat transfer. No single combination of the twist ratio and perforation diameter for an insert demonstrated the highest thermal performance factor across all the Reynolds number values. The heat exchanger with an insert featuring a twist ratio of 2.5 and a perforation diameter of 8 mm exhibited a high thermal performance factor in the lower Reynolds number range. In contrast, an insert with a twist ratio of 3.3 and a perforation diameter of 5 mm showed a high thermal performance factor in the higher Reynolds number range. The highest thermal performance factor recorded was 2.37 for the insert with a twist ratio of 2.5 and a perforation diameter of 8 mm.
UPLC-MS/MS Combined with Microdialysis for Determination of Two Active Components of Chuanxiong Rhizoma Extracts in Rat Brain: Application in Pharmacokinetic Study
Authors: Wang Yu , Jin Liang , Liu Xinhua , Shu Bing , Xu Jia , Pan Lingyun 
Published: December 2024

Abstract
Chuanxiong Rhizoma (Chuanxiong), a traditional Chinese medicine, has been widely used to treat various nervous and cardiovascular system-related conditions. Its active components, senkyunolide A (SA) and 3-n-butylphthalide (NBP), have been proven effective in treating nervous system diseases. A new method was established based on microdialysis coupled with ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) to estimate the concentrations of these components in brain extracellular fluid. Chromatographic separation was achieved using an Acquity UPLC BEH C8 column (2.1 × 100 mm, 1.7 μm) with acetonitrile and 0.1% formic acid as mobile phase. The calibration curves of SA and NBP were linear in the concentration ranges of 0.25–100.00 and 0.12–48.00 ng/mL, respectively, with a correlation coefficient above 0.9992. All validation parameters, including intra- and inter-day precision, accuracy, matrix effect and stability, were within the acceptance limits of bioanalytical guidelines. The validated method was successfully applied to study the pharmacokinetics of SA and NBP in rat brain microdialysis after oral administration of Chuanxiong extracts. The results showed that both components penetrated the brain and reached maximum concentrations in the microdialysates of 72.31 and 9.93 ng/mL at 1.50 and 1.58 h, respectively.
Impact on Quality of Life of Full-Time and Night-Time Braces in Adolescent Idiopathic Scoliosis
Authors: Peiro-Garcia Alejandro , Garcia Rocio G. , Martin-Gorgojo Victor , Vilalta-Vidal Inmaculada , Gonzalez-Gonzalez Luis , Martin-Moreno Jose M. , Silvestre-Muñoz Antonio 
Published: December 2024

Study Design.
Randomized clinical trial.

Objective.
To compare the effect on quality of life of night-time (NT) and full-time (FT) brace treatment for adolescent idiopathic scoliosis (AIS).

Summary of Background Data.
Conservative treatment of adolescent idiopathic scoliosis (AIS) with full-time (FT) braces has proven to prevent the risk of progression and the need for surgery, with an inversely proportional relationship to the number of hours worn. However, therapeutic adherence and its effect on quality of life continue to pose a clinical challenge.

Materials and Methods.
Open-label clinical trial including AIS patients with curves between 25-45 degrees randomized to either NT or FT brace group. Follow-up occurred over two years, assessing treatment efficacy through radiographs and quality of life using SRS-22 and visual analog scale (VAS) questionnaires scores at baseline, 6 months, and 12 months. Compliance was monitored with thermal sensors every three months. Statistical analyses were conducted, with significance set at P < 0.05.

Results.
78 AIS patients, predominantly females (85.9%), were recruited, including 35 (44.87%) in FT group and 43 (55.13%) in NT. Initial Cobb angles were comparable between groups. Nine patients were excluded, and eight required surgery (NT 12.82%, FT 10%). After two years, both braces showed similar effectiveness in preventing curve progression. No differences on SRS-22 nor VAS scores were found before treatment. At six-month follow-up, NT group reported significantly better outcomes in “Self-image” compared to FT (P=0.047). After one year, NT patients reported less pain compared to baseline (P=0.048)

Conclusions.
According to our results, both braces are equally effective in avoiding the progression of the deformity and need for surgery. However, FT brace has a higher impact on self-image and pain compared to NT brace.
Rates, Risk Factors and Outcomes of Complications After COVID-19 in Children
Authors: Rattanawijit Mallika , Samutpong Arisara , Apiwattanakul Nopporn , Assawawiroonhakarn Surapat , Techasaensiri Chonnamet , Boonsathorn Sophida , Chaisavaneeyakorn Sujittra 
Published: December 2024

Background:
Coronavirus disease 2019 (COVID-19) can lead to various complications, including multisystem inflammatory syndrome in children (MIS-C) and post-COVID-19 conditions (long COVID). This study aimed to determine the rates, risk factors and outcomes of MIS-C and long COVID in children previously diagnosed with COVID-19.

Methods:
This study was a combined retrospective and prospective cohort study. Patients 0–18 years of age diagnosed with COVID-19 or another respiratory virus infection were enrolled between October 2021 and April 2022. Demographic and clinical data were reviewed. Information on persisting symptoms and their impacts were recorded at 1–3, 3–6 and 6–12 months after infection. Laboratory investigations and chest imaging examinations were performed during follow-up. MIS-C and long COVID were defined according to the Centers for Disease Control and Prevention (CDC) and World Health Organization (WHO) definitions.

Results:
A total of 618 patients were enrolled, comprising 437 (70.7%) with COVID-19 and 181 (29.3%) with another respiratory virus infection. At 1–3 months, the rate of persisting symptoms was 16.5% in patients with COVID-19, compared with 1.1% in patients with another respiratory virus infection. The rate of MIS-C was 0.7%. The rate of long COVID according to the CDC and WHO definitions were 20.4% and 13.0%, respectively. Respiratory systems were most affected in long COVID. Age 5–18 years, anosmia during COVID-19, history of pneumonia and infection during the delta and omicron waves were associated with long COVID in children.

Conclusions:
Long COVID after COVID-19 in children is uncommon. Children with anosmia and a history of pneumonia during COVID-19 require follow-up for long COVID.