bluuebunny/crossref_metadata_2025_split huggingface dataset:
Field-controlled quantum anomalous Hall effect in electron-doped CrSiTe3 monolayer
Authors: Kang Sungmo , Kang Seungjin , Kim Heung-Sik , Yu Jaejun 
Published: March 2023

AbstractWe report Chern insulating phases emerging from a single layer of layered chalcogenide CrSiTe3, a transition metal trichacogenides (TMTC) material, in the presence of charge doping. Due to strong hybridization with Te p orbitals, the spin-orbit coupling effect opens a finite band gap, leading to a nontrivial topology of the Cr eg conduction band manifold with higher Chern numbers. Our calculations show that quantum anomalous Hall effects can be realized by adding one electron in a formula unit cell of Cr2Si2Te6, equivalent to electron doping by 2.36 × 1014 cm−2 carrier density. Furthermore, the doping-induced anomalous Hall conductivity can be controlled by an external magnetic field via spin-orientation-dependent tuning of the spin-orbit coupling. In addition, we find distinct quantum anomalous Hall phases employing tight-binding model analysis, suggesting that CrSiTe3 can be a fascinating platform to realize Chern insulating systems with higher Chern numbers.
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation
Authors: Yang Lulu , Feng Hongliang , Ai Sizhi , Liu Yue , Lei Binbin , Chen Jie , Tan Xiao , Benedict Christian , Wang Ningjian , Wing Yun Kwok , Qi Lu , Zhang Jihui 
Published: March 2023

AbstractEvidence suggests potential links between circadian rhythm and atrial fibrillation (AF). However, whether circadian disruption can predict the onset of AF in the general population remains largely unknown. We aim to investigate the association of accelerometer-measured circadian rest-activity rhythm (CRAR, the most prominent circadian rhythm in humans) with the risk of AF, and examine joint associations and potential interactions of CRAR and genetic susceptibility with AF incidence. We include 62,927 white British participants of UK Biobank without AF at baseline. CRAR characteristics, including amplitude (strength), acrophase (timing of peak activity), pseudo-F (robustness), and mesor (height), are derived by applying an extended cosine model. Genetic risk is assessed with polygenic risk scores. The outcome is the incidence of AF. During a median follow-up of 6.16 years, 1920 participants developed AF. Low amplitude [hazard ratio (HR): 1.41, 95% confidence interval (CI): 1.25–1.58], delayed acrophase (HR: 1.24, 95% CI: 1.10–1.39), and low mesor (HR: 1.36, 95% CI: 1.21–1.52), but not low pseudo-F, are significantly associated with a higher risk of AF. No significant interactions between CRAR characteristics and genetic risk are observed. Joint association analyses reveal that participants with unfavourable CRAR characteristics and high genetic risk yield the highest risk of incident AF. These associations are robust after controlling for multiple testing and in a series of sensitivity analyses. Accelerometer-measured CRAR abnormalities, characterized by decreased strength and height, and later timing of peak activity of circadian rhythm, are associated with a higher risk of AF in the general population.
Protein structure and folding pathway prediction based on remote homologs recognition using PAthreader
Authors: Zhao Kailong , Xia Yuhao , Zhang Fujin , Zhou Xiaogen , Li Stan Z. , Zhang Guijun 
Published: March 2023

AbstractRecognition of remote homologous structures is a necessary module in AlphaFold2 and is also essential for the exploration of protein folding pathways. Here, we propose a method, PAthreader, to recognize remote templates and explore folding pathways. Firstly, we design a three-track alignment between predicted distance profiles and structure profiles extracted from PDB and AlphaFold DB, to improve the recognition accuracy of remote templates. Secondly, we improve the performance of AlphaFold2 using the templates identified by PAthreader. Thirdly, we explore protein folding pathways based on our conjecture that dynamic folding information of protein is implicitly contained in its remote homologs. The results show that the average accuracy of PAthreader templates is 11.6% higher than that of HHsearch. In terms of structure modelling, PAthreader outperform AlphaFold2 and ranks first on the CAMEO blind test for the latest three months. Furthermore, we predict protein folding pathways for 37 proteins, in which the results of 7 proteins are almost consistent with those of biological experiments, and the other 30 human proteins have yet to be verified by biological experiments, revealing that folding information can be exploited from remote homologous structures.
Detection of pedestrians and vehicles in autonomous driving with selective kernel networks
Authors: Zhang Zhenlin , Hanwen Gao , Wu Xingang 
Published: March 2023

AbstractAccurate detection of pedestrians and vehicles on the road is an important content in autonomous driving technology. In this article, a method to optimise the object detection network using the channel attention mechanism is proposed. In general, small object detection problems and difficult sample detection problems in object detection tasks can be solved by using feature pyramids. Different from building a feature pyramid, the authors did not make extensive changes to the network, but used the channel attention mechanism to dynamically adjust the output of a layer during the feature extraction process, allowing each neuron to adjust its receptive field size adaptively according to multiple scales of the input information, so that the network pays attention to the extraction of important features, especially the features of small objects and difficult samples. In order to evaluate the performance of the proposed method, experiments were conducted on standard benchmark data sets. It has been observed that the proposed method is superior to the original object detection network in terms of the detection accuracy of pedestrians and vehicles, especially the detection of small objects.
Dynamic ageing research of cross‐linked polyethylene cable insulation based on temporal‐spatial dimension under combined electro‐thermal effect
Authors: Zhao Yifeng , Xie Yue , Zhao Yu , Huang Jiasheng , Fan Xinghui , Nie Yangyang , Liu Gang 
Published: March 2023

AbstractDynamic ageing process of cross‐linked polyethylene (XLPE) cable insulation under combined electro‐thermal effect is investigated by the construction of theoretical analysis model and the practice of operation‐simulated ageing test. Firstly, theoretical analysis model is constructed from time and spatial dimensions. From the time dimension, in the light of the impeding trend of internal stress to external stress, the XLPE ageing process of Steady state ‐Transition state ‐Steady state (STS) is proposed to illustrate the dynamic ageing process of XLPE. From the spatial dimension, the insulation is divided into three scales to quantify the ageing. Secondly, to practice the theoretical analysis model, an operation‐simulated ageing test was conducted on two high voltage alternating current cables with service years of 15 and 30 for 540 days. Subsequently, relevant diagnostic measurements were applied to analyse the influence of physicochemical characteristics on the dielectric and heat transfer performances of the cables. The results show that the degradation of the actual operating cable is an extremely slow process. On the one hand, the response in physical changes of morphology counterbalances the external stress, maintaining the stability. On the other hand, once the chemical changes occur, negative feedback mechanism tends to impede the occurrence of further degradation by regulating fields distribution.
Dissolved gas analysis and dissipation factor measurement of mineral oil‐based nanofluids under thermal and electrical faults
Authors: Maher Ahmed , Mansour Diaa‐Eldin A. , Helal Khaled , Abd El Aal Ramadan A. A. 
Published: March 2023

AbstractMineral oil is the most frequent insulating liquid used in oil‐immersed transformers for electrical insulation and heat dissipation. However, oil‐based nanofluids are becoming more popular in scientific research as they have proved to have better dielectric and thermal characteristics. When applying these nanofluids into actual transformers, they would be exposed to thermal and electrical stresses. Thus, The aim of the authors is to investigate the generation pattern of dissolved gases in nanofluids under thermal and electrical faults and to assess the applicability of traditional Dissolved Gas Analysis (DGA) techniques if oil‐based nanofluids are used in transformers. Oil‐based nanofluid samples were prepared using a magnetic stirrer and an ultrasonic homogeniser and then subjected to simulated thermal and electrical faults in the laboratory using properly sealed test cells. Three types of metal oxides, Silicon dioxide, Titanium dioxide, and Aluminium oxide nanoparticles, have been used to prepare nanofluids with 0.02 g/L and 0.04 g/L concentrations. The gases released and dissolved into oil due to the simulated faults were analysed and compared to traditional mineral oil as a benchmark. The dielectric dissipation factor was obtained and analysed for all samples. According to the findings, the presence and concentration of nanoparticles were shown to influence the amount of gases produced. As a result, this research is crucial in guaranteeing that traditional DGA techniques can be employed in transformers that use oil‐based nanofluids.
Analysis and design of a novel cubic WPT system in a metal environment for an enclosed sensor scenario
Authors: Liang Cang , Yuan Huan , Zhang Renjie , Yang Aijun , Wang Xiaohua , Rong Mingzhe 
Published: March 2023

AbstractThis paper proposes a novel cubic WPT system for an enclosed sensor scenario, and its transmission characteristics in a metal environment have been analyzed. In addition, stable and high transmission efficiency can be normally achieved in all positions. The proposed quasi‐double D coil structure is composed of two pairs of transmitting coils; each transmitting coil pair is placed face to face and connected serially. Through current amplitude modulation, magnetic flux can flow towards the centre of the receiving coil and keep the system high efficiency when the rotation angle of the receiving coil changes. However, the installation position of the receiving coil is not fixed in the switch cabinet application, and an irregular iron wall and the metal shell of sensors could also lead to inconsistent iron loss of multiple transmitters. To overcome the resulting disturbances in efficiency, the improved current amplitude control method and the optimal load have been theoretically deduced in the case of the position variation of the receiving coil in a metal environment. Finally, experimental results in two‐dimensional space verify the omnidirectional transmission capability of the proposed quasi‐double D coil, and efficiency disturbances are effectively alleviated.
Quantum finite difference solvers for physics simulation
Authors: Chagneau Anthony , Nathoo Laëticia , Alloul Jérémy , Gabriel Bertrand 
Published: March 2023

AbstractPhysics systems are becoming increasingly complex and require more and more computing time. Quantum computing, which has shown its efficiency on some problems, such as the factorisation of a number with Shor's algorithm, may be the solution to reduce these computation times. Here, the authors propose two quantum numerical schemes for the simulation of physics phenomena, based on the finite difference method. The aim is to see if quantum versions of standard numerical schemes offer an advantage over their classical counterparts, either in accuracy, stability or computation time. First, the authors will present the different phenomena studied as well as the classical solution methods chosen. The authors will then describe the implementation of the quantum numerical schemes and present some results obtained on the different physics phenomena beforehand and then compare both approaches, classical and quantum.
Direct position determination algorithm for non‐circular sources in the presence of mutual coupling and its theoretical performance analysis
Authors: Deng Jie , Yin Jiexin , Yang Bin , Wang Ding 
Published: March 2023

AbstractThis article proposes a direct position determination (DPD) algorithm for non‐circular sources observed by a moving array using the self‐calibration technique in the presence of mutual coupling. The method first utilises the symmetric Toeplitz property of uniform linear array matrices with mutual coupling and cyclic Toeplitz property of uniform circular array coupling matrix, realising the decoupled estimations of target position parameters and sensor error parameters. Then the position parameters of multiple non‐circular are directly determined based on the subspace data fusion criterion in a decoupled manner, where the subspaces are obtained using the extended array data model with the non‐circular properties of the sources. This results in a significant improvement in the accuracy of the target position estimation and the number of distinguishable sources compared to the traditional mutual coupling calibration algorithm. In addition, the theoretical mean square error expression for the position estimations of the proposed algorithm under the influence of finite sampling is derived based on the matrix perturbation analysis theory, and the corresponding Cramér‐Rao bound is given. Finally, the correctness of the theoretical derivation and the superiority of the method is verified by simulation experiments.
Accounting for differential rotation in calculations of the Sun’s angular momentum-loss rate
Authors: Finley A. J. , Brun A. S. 
Published: March 2023

Context. Sun-like stars shed angular momentum due to the presence of magnetised stellar winds. Magnetohydrodynamic models have been successful in exploring the dependence of this ‘wind-braking torque’ on various stellar properties; however the influence of surface differential rotation is largely unexplored. As the wind-braking torque depends on the rotation rate of the escaping wind, the inclusion of differential rotation should effectively modulate the angular momentum-loss rate based on the latitudinal variation of wind source regions.
Aims. Here we aim to quantify the influence of surface differential rotation on the angular momentum-loss rate of the Sun, in comparison to the typical assumption of solid-body rotation.
Methods. To do this, we exploited the dependence of the wind-braking torque on the effective rotation rate of the coronal magnetic field, which is known to be vitally important in magnetohydrodynamic models. This quantity has been evaluated by tracing field lines through a potential field source surface (PFSS) model, driven by ADAPT-GONG magnetograms. The surface rotation rates of the open magnetic field lines were then used to construct an open-flux weighted rotation rate, from which the influence on the wind-braking torque could be estimated.
Results. During solar minima, the rotation rate of the corona decreases with respect to the typical solid-body rate (the Carrington rotation period is 25.4 days), as the sources of the solar wind are confined towards the slowly rotating poles. With increasing activity, more solar wind emerges from the Sun’s active latitudes which enforces a Carrington-like rotation. Coronal rotation often displays a north-south asymmetry driven by differences in active region emergence rates (and consequently latitudinal connectivity) in each hemisphere.
Conclusions. The effect of differential rotation on the Sun’s current wind-braking torque is limited. The solar wind-braking torque is ∼10 − 15% lower during solar minimum, (compared with the typical solid body rate), and a few percent larger during solar maximum (as some field lines connect to more rapidly rotating equatorial latitudes). For more rapidly rotating Sun-like stars, differential rotation may play a more significant role, depending on the configuration of the large-scale magnetic field.
Synthesis of Prospective Multiple Time Points F-18 FDG PET Images from a Single Scan Using a Supervised Generative Adversarial Network
Authors: Karimipourfard Merhnoosh , Sina Sedigheh , Khodadai Shoshtari Fereshteh , Alavi Mehrsadat 
Published: March 2023

AbstractThe cumulative activity map estimation are essential tools for patient specific dosimetry with high accuracy, which is estimated using biokinetic models instead of patient dynamic data or the number of static PET scans, owing to economical and time-consuming points of view. In the era of deep learning applications in medicine, the pix-to-pix (p2 p) GAN neural networks play a significant role in image translation between imaging modalities. In this pilot study, we extended the p2 p GAN networks to generate PET images of patients at different times according to a 60 min scan time after the injection of F-18 FDG. In this regard, the study was conducted in two sections: phantom and patient studies. In the phantom study section, the SSIM, PSNR, and MSE metric results of the generated images varied from 0.98–0.99, 31–34 and 1–2 respectively and the fine-tuned Resnet-50 network classified the different timing images with high performance. In the patient study, these values varied from 0.88–0.93, 36–41 and 1.7–2.2, respectively and the classification network classified the generated images in the true group with high accuracy. The results of phantom studies showed high values of evaluation metrics owing to ideal image quality conditions. However, in the patient study, promising results were achieved which showed that the image quality and training data number affected the network performance. This study aims to assess the feasibility of p2 p GAN network application for different timing image generation.
Efficiency of Near-Infrared Technology in the Clinical Detection of Carious Lesions: A Systematic Review
Authors: Elsawaf Ahmed Essam , Deri Abdulsalam Youssef Al , Armanious Patrick Samih , Khasawneh Abdallah Mahmoud , AlKhaja Ahmed Mahmood , Yasin Ahmad Ribhi , Al-Rawi Natheer Hashim , Kawas Sausan Al , Shetty Shishir Ram 
Published: March 2023

AbstractThe field of dentistry has seen various technological advances regarding caries detection, some lesions still prove to be difficult to detect. A reasonably new detection method, near-infrared (NIR), has shown good results in caries detection. This systematic review aims to compare NIR with conventional methods in terms of caries detection. Online databases (PubMed, Scopus, ScienceDirect, EBSCO, and ProQuest) were used for the literature search. The search was performed from January 2015 till December-2020. A total of 770 articles were selected, of that 17 articles qualified for the final analysis as per Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The articles were assessed according to a modified Critical Appraisal Skills Programme checklist, and then synthesis of the review started. The inclusion criteria were clinical trials done in vivo on teeth with active caries of vital or nonvital teeth. This review excluded nonpeer reviewed articles, case reports, case series, opinions, abstracts, non-English written articles, studies of subjects with arrested caries, or teeth with developmental defects of tooth structure and teeth having environmental defects of tooth structure, as well as in-vitro studies. The review compared near-infrared technology with radiography, visual inspection, and laser fluorescence in terms of caries detection, sensitivity, specificity, and accuracy. The sensitivity of NIR ranged from 99.1 to 29.1%. Studies showed that NIR exhibited higher sensitivity for occlusal enamel and dentin caries. The specificity of NIR ranged from 94.1 to 20.0%. In enamel and dentinal occlusal caries, NIR demonstrated lower specificity than that of radiograph. The specificity of NIR in early proximal caries was low. Accuracy was determined in 5 out of 17 studies where the values ranged from 97.1 to 29.1%. The accuracy of NIR was the highest for dentinal occlusal caries. NIR shows promising evidence as an adjunct in caries examination due to its high sensitivity and specificity; however, more studies are required to determine its full potential in different situations.
A Curious Case of Multiple Intracardiac Masses: Antiphospholipid Syndrome Manifesting as Multiple Intracardiac Thrombi
Authors: Mondy Vimal Chacko , Valakkada Jineesh , Ayappan Anoop 
Published: March 2023

AbstractAntiphospholipid syndrome (APS) is a multisystem autoimmune disease characterized by acquired hypercoagulability, recurrent pregnancy loss, and elevated levels of antiphospholipid antibodies. The common cardiovascular manifestations include valvulopathy, coronary artery disease (CAD), myocardial dysfunction, cardiac thrombi, pulmonary thromboembolism, and pulmonary hypertension. Herein we present a case who presented with stroke with incidentally detected multiple cardiac lesions on echocardiography suspicious for mass. Cardiac magnetic resonance (CMR) was able to accurately characterize these lesions as cardiac thrombi, which were subsequently confirmed by endomyocardial biopsy. In this article, the case we discussed, highlights the importance of CMR in accurately characterizing the suspected mass lesion in echocardiography, thus arriving at an accurate diagnosis that changed patient management altogether.
Impact of Structured Reporting of Skeletal Survey in Skeletal Dysplasia: A Single Institution Experience
Authors: Gupta Amit , Gupta Neerja , Kabra Madhulika , Kaur Tejinder , Gabra Pavan , Khan Maroof A. , Jana Manisha 
Published: March 2023

Abstract
Background Structured reporting has the advantages of reducing ambiguity in written radiology reports with greater uniformity and comparability of reports amongst different institutes. It has multiple facets: structured format, structured content, and standardized language. While structured reporting initiative has been used in various radiology subspecialties such as oncology, cardiothoracic, abdominal and interventional radiology; skeletal dysplasia is a domain that remains largely untouched by this concept.
Purpose To evaluate the impact of structured reporting in skeletal dysplasia.
Methods and Materials This was an ethically approved pragmatic clinical trial. A defined number (75) of clinically diagnosed and/or genetically confirmed skeletal dysplasia radiographs were evaluated by two radiologists (reader A and reader B) with 5-and 7-years' experience in general radiology, respectively. A pre-defined structured reporting format for skeletal dysplasia was used as an interventional tool. Both the readers interpreted the radiographs before and after the training session. In addition to diagnosis, diagnostic confidence was noted using a semiquantitative scale. Improvement in diagnostic accuracy and diagnostic confidence after training were assessed. McNemar's test was used to assess the statistical significance of difference in proportion of correct diagnoses in pre- and post-education phases. An interrater reliability analysis using the Kappa statistic was performed to determine interobserver agreement between readers both in pre- and post-education phases.
Results In the post-education phase, the proportion of accurate diagnosis improved from 48% (36/75) to 64% (48/75) for reader A, and from 44% (33/75) to 60% (45/75) for reader B as compared with the pre-education phase. Amongst the cases with a correct radiologic diagnosis, an increase in diagnostic confidence was noted in 18 cases for reader A, and 15 cases for reader B. In none of the cases, there was a reduction in diagnostic confidence after training. A McNemar's test determined that there was a statistically significant difference in the proportion of correct diagnoses in pre- and post-education phases, p < 0.001. The interobserver agreement between the readers was found to increase from Kappa = 0.33 (p = 0.004) using non-structured reporting in pre-education phase to Kappa = 0.46 (p < 0.001) using structured reporting in the post-education phase.
Conclusion A structured reporting of skeletal survey can improve accuracy and confidence in diagnosing skeletal dysplasia.