bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low power single flux quantum qubit control circuit without high-frequency input
Authors: Weng Bicong , Peng Wei , Ren Jie 
Published: July 2023

Abstract
The use of high-frequency input signals from room-temperature microwave sources makes it difficult to scale up the number of quantum bits in universal quantum computers. To address this issue, superconducting single flux quantum (SFQ) integrated circuits are being explored as suitable candidates for qubit manipulation in universal quantum computers. This paper deals with a scalable SFQ qubit control circuit (SQCC) structure that requires only low-frequency input. The circuit mainly consists of a pulse generator and a counter, that output the SFQ pulse train with adjustable frequency and a controllable number of pulses, which is applicable to control single-qubit Clifford operations. The design of low-voltage rapid single flux quantum (LV-RSFQ) and energy-efficient rapid single flux quantum (ERSFQ) for the SQCC achieves low power consumption and provides a basis for scaling up SQCC to control more qubits. The proposed circuits are fabricated under the SIMIT-Nb03 process and successfully pass test verification. The achieved test results reveal that the adjustable output frequency ranges of the SQCC based on the LV-RSFQ and ERSFQ designs in order are [2.40, 8.11] GHz and [4.81, 5.14] GHz. In the operating frequency range, the circuit is able to generate the correct number of SFQ pulses under control. The controllable number range is from 1 to 128. When the circuits operate at 5 GHz, the total power consumptions of the above circuits in order are 23.88 μW and 6.2 μW. All input signals are low-frequency signals, which frees the control of large-scale qubits from limitations caused by high-frequency inputs produced by room-temperature microwave sources.
Influences of quenching treatment and cobalt-doping on the thermally activated flux-flow behavior in KCa2(Fe 1−x
Co
x
)4As4F2
Authors: Liu Yixin , Wang Teng , Xu Zulei , Hong Wenshan , Peng Wei , Lin Zhi-Rong , Luo Huiqian , Mu Gang 
Published: July 2023

Abstract
Owing to the unique double-FeAs-layered structure between neighboring insulating layers, the 12442-type Fe-based superconductors are expected to host rich vortex phenomena in the mixed state. Here, we report a systematic investigation on the influences of quenching treatment and cobalt-doping on the magnetic vortex dynamics of KCa2(Fe

1
−
x

Co
x
)4As4F2 (x = 0, 0.1) single crystals via electrical transport measurements. It is found that the slopes of the upper critical field near Tc
,

d

μ
0

H

/

d

T

|

T
c

along both directions (

H
⊥
c

and

H
∥
c

), are doubled by the cobalt-doping with x = 0.1. The activation energy is acquired by analyzing the Arrhenius plots, which shows a H
−α
dependence with a change in the exponent α at around 3 T, indicating the evolution of the dominant pinning mechanisms in different field regions. Importantly, the quenching treatment obviously enhances the magnitude of activation energy and critical current density J
c, which can be suppressed by the introduction of cobalt-doping. Possible mechanisms for such evolutions of these important parameters are discussed. Our results emphasize the important role of quenching treatment in enhancing the activation energy and critical current density in 12442 system.
A new Abel inversion algorithm by using legendre polynomials
Authors: Pang Mingqi , Shi Zelin , Liu Haizheng , Dan Liu  , Zhang Daijun 
Published: July 2023

Abstract
Abel’s integral equation is frequently used in many areas of physics to reconstruct the radial physical quantity distribution from its projection data. In this paper, a new effective and accurate Abel inversion algorithm based on shifted Legendre polynomials is proposed and analyzed. The proposed method is derivative-free and singularity-free. Both the input projection data and the unknown solutions of the Abel’s integral equation are approximately expressed as Legendre expansions. A Legendre operational matrix of integral is constructed and then reduced to a discrete algebraic sum, which makes it easy and fast to compute the coefficients matrix of approximate solutions for the inverse Abel transform. Finally, the accuracy and stability are proved and then illustrated by some numerical experiments widely used in plasma diagnostics.
Optical and electrical modeling of CZTSSe based thin-film solar cells
Authors: Mohamed H A , Taya YA , Ali Sh S , Mohamed W S 
Published: July 2023

Abstract
This research utilized an optical and electrical model to examine the impact of optical and recombination losses on the short circuit current density, J

sc
, and conversion efficiency of thin-film solar cells based on n-CdS/p-CZTSSe with ITO frontal charge-collecting contacts. By analyzing the optical properties of the components, we were able to calculate the amount of light that was lost as a result of absorption in the ITO and CdS layers and as a result of reflection at all interfaces. The impact of using antireflection coating on the optical losses was studied. Recombination losses were calculated quantitatively by varying the CZTSSe thickness and depletion area width. It was found that the antireflection layer reduced the optical losses up to 20%. The minimum value of the recombination losses is about 11% of what is observed at a width more than 1 μm, and that the width of the depletion layer has a significant impact in the value of J

sc
. Most of the incoming photons were absorbed by a layer of CZTSSe 3–4 μm thick. At these thicknesses, the recombination losses were considered low and recorded 16%. At reasonable values for the parameters employed, the efficiency of 14% is achievable.
The Detection of Possible γ-Ray Quasi-periodic Modulation with ∼600 days from the Blazar S2 0109+22
Authors: Zhang Haoyang , Wu Fan , Dai Benzhong 
Published: July 2023

Abstract
In this work, we analyzed the long-term γ-ray data by a Fermi Large Area Telescope of blazar S2 0109+22, ranging from 2008 to 2023. The quasi-periodic oscillations (QPOs) of blazars aided in investigating the physical properties of internal supermassive black holes, the nature of variability, and the underlying radiation mechanism. We employed four different methods—Weighted Wavelet Z-transform, Lomb–Scargle periodogram, REDFIT and phase folded light curve analysis, for searching QPO signals. Our analysis identified a possible QPO behavior with a periodicity of ∼600 days in 2013 November–2023 January at a significance level of ∼3.5σ. This QPO signal sustained ∼9 yr, corresponding to 5.6 cycles, which was in good agreement with the previously observed periodicity of ∼657 days in radio. We explained this phenomenon based on the accretion model and the lighthouse effect, in a binary black hole system.
Research on Plastic Deformation of Rolled Pieces of Four-power rolling Mill Based on Deform
Authors: Du Chunkuan , Ni Xiao 
Published: July 2023

Abstract
Aiming at the problems of large cross-section size change and low shape and position accuracy of the workpiece rolled by the four-power rolling mill, based on analyzing the plastic deformation mechanism of metal crystals, the rolling simulation was carried out by deform software to analyze the variation of section plastic deformation height and equivalent stress distribution of the rolled workpiece section. The results show that under the action of mutual vertical rolling force, the large plastic deformation with a length of about 2mm occurs in the local area of 45 ° diagonal at the end of the section, and the maximum height dimension increases by 4.5% relative to the blank height dimension. Its equivalent stress at the ends of both sides of the section is also the largest, and then gradually decreases and tends to be stable.
Research on Fault Diagnosis Method of Rolling Bearing Based on Variational Mode Decomposition and Gath-Geva Clustering
Authors: Zhang Chen , Fang Tao 
Published: July 2023

Abstract
For the hassle that the fault of the rolling bearing is challenging to identify, a method for identifying the damage degree of rolling bearing based on the combination of Variational Mode Decomposition (VMD) and Gath-Geva (GG) fuzzy clustering is proposed. The method decomposes the known rolling bearing fault signal by VMD, determines the number of decomposed modes based on the magnitude of the component frequency center, and forms the obtained eigenmode components into an initial eigenmatrix for singular value decomposition. The three largest singular values are selected as the input of the GG clustering algorithm, and the membership matrix and cluster center of the known fault signals are obtained. The damage degree of the rolling bearing is identified by the Hamming closeness between the initial membership matrix of the signal to be measured and the cluster centers with clear fault signal. Rolling bearings vibration data verify the effectiveness of the method. The experimental results show that the method in this paper can accurately extract the fault information contained in the vibration signal, realize the correct fault type identification, and provide a reliable basis for the rolling bearing fault diagnosis method.
Underwater acoustic beacon detection device based on Embedded System
Authors: Dong Shichao , Yao Shukun , Kang Lijin 
Published: July 2023

Abstract
Based on the current situation of large volume and single detection function of the underwater acoustic beacon detection device, combined with the requirements of multi-parameter detection of underwater acoustic beacon function and performance, an embedded underwater acoustic beacon multi-parameter detection device is developed. The detection device uses ARM as the core processor, carries Linux embedded system, and establishes QT graphical user interface. The detection device can realize the acoustic signal of underwater acoustic beacon Frequency, pulse width, period, sound source level, spectrum, and other multi-parameter detection and graphical display of the test results.
Multivariate polynomial regression based selection and analysis of process parameters for X-ray inspection of pipeline containing medium
Authors: Yang Xueming , Yan Hui , Luo Deting , Liu Qing , Wang Qiang 
Published: July 2023

Abstract
Pressure pipelines use pressure to transport gas, liquefied gas, and steam in the process of use. If there are defects in the pipeline, it is easy to leak or burst, and even cause secondary accidents. To ensure safety, it is necessary to inspect the pressure pipelines in use regularly. However, it is difficult for the pressure pipeline in use to empty the internal medium. Therefore, it is of great significance to inspect the defects of the industrial pressure pipeline under operating conditions. In this paper, X-ray testing experiments are carried out for weld defects of pipelines with the medium. Using the experimental data, multivariate polynomial regression equations of negative blackness and tube voltage, and other variables are established, which provides an effective tool for the formulation of the optimal process route for testing pressure pipelines containing medium.
Intelligent Circuit Breaker
Authors: Niu Wenhuan , Shi Hailong , Hou Xujie 
Published: July 2023

Abstract
This paper designs an intelligent protective circuit breaker, which can monitor the leakage, voltage, current, temperature, and other parameters in the user’s line in real-time through the built-in electric energy metering module, leakage, temperature sensors, and alarm according to the set alarm threshold. It can give early warning about the dangerous situation in the user’s line in advance. At the same time, it can upload to the cloud platform through the wireless communication module for remote detection, which can effectively reduce the risk of an electrical fire.
Nonlinear dynamics analysis of rotor system
Authors: Sun Hanzheng , Zhang Hongyuan , Zhou Qiuzhong 
Published: July 2023

Abstract
In order to get the motion of the disc core and bearing in the rotor system, the nonlinear dynamic model was established. The influence of the disc core and bearing under the action of different rotor speeds and different bearing clearances is analyzed by numerical calculation. The results show that the change of rotor speed will not have a great impact on the disc center, will affect the movement cycle and amplitude, which will have a slight impact on the bearing. The increase of clearance will change the overall movement of the disc center, especially in the initial stage of the system, which will have a greater impact on the bearing.
Decreasing surface chlorophyll in the tropical ocean as an indicator of anthropogenic greenhouse effect during 1998–2020
Authors: Tian Feng , Zhang Rong-Hua 
Published: July 2023

Abstract
Available satellite data reveal a decreasing trend in surface chlorophyll (SChl) over the entire tropical ocean until 2020. Where contributions by internal variability and external forcing remain unclear. Here, state-of-the-art climate model simulations are analyzed to show that external forcing significantly contributes to the decreasing SChl trend. In contrast, internal variability plays a weak or even offsetting role. As for the underlying processes, anthropogenic greenhouse emissions lead to a remarkable reduction in SChl over the tropical oceans, whereas industrial aerosol load facilitates a considerable increase in SChl in the western tropical Pacific. In addition, the negative phase of the interdecadal Pacific variability during 1998–2020 contributes to an increase in SChl, while the impact from the Atlantic multidecadal variability is relatively weak in facilitating a decrease in SChl. Overall, these results imply that the impact of anthropogenic forcing has emerged as indicated in the tropical marine ecosystem.
Lactate in exhaled breath condensate and its correlation to cancer: challenges, promises and a call for data
Authors: Ruzsányi Veronika , Kalapos Miklós Péter 
Published: July 2023

Abstract
Owing to its connection to cancer metabolism, lactate is a compound that has been a focus of interest in field of cancer biochemistry for more than a century. Exhaled breath volatile organic compounds (VOCs) and condensate analyses can identify and monitor volatile and non-VOCs, respectively, present in exhaled breath to gain information about the health state of an individual. This work aims to take into account the possible use of breath lactate measurements in tumor diagnosis and treatment control, to discuss technical barriers to measurement, and to evaluate directions for the future improvement of this technique. The use of exhaled breath condensate (EBC) lactic acid levels in disorders other than cancer is also discussed in brief. Whilst the use of EBC for the detection of lactate in exhaled breath is a promising tool that could be used to monitor and screen for cancer, the reliability and sensitivity of detection are uncertain, and hence its value in clinical practice is still limited. Currently, lactate present in plasma and EBC can only be used as a biomarker for advanced cancer, and therefore it presently has limited differential diagnostic importance and is rather of prognostic value.
Reconnecting Memory and Recovering from Trauma: The Adaptation ofThe Deepfrom a Song to a Novella
Authors: Wang Longyan 
Published: July 2023

AbstractThe Deep (2019), a novella achieved through collective authorship by Rivers Solomon, Daveed Diggs, William Hutson, and Jonathan Snipes, is adapted from Clipping’s song of the same name ‘The Deep’ (2017). The novella contemplates collective memory, generational trauma, and identity issues. This article compares the song and novella, discusses how both song and novella express historical issues of slavery and contemporary issues of environmental destruction, traces diverse inspirational source materials, and examines the novella’s depictions of negotiation and reconciliation between individual versus communal identities within a context of generational trauma. This article argues that, with wajinru representing a bridging of humanity and nature, and with complex thematic interplay between forgetting, remembrance, and healing, the novella constitutes an Afrofuturist, magical realist, counternarrative challenge to dominant historical narratives, and illuminates the importance of reconnecting communal memory to individual identity-construction for recovering from generational trauma, and of building a more utopian world through cultivating love that transcends species and gender. In addition, this article analyzes how Solomon’s novella and its diverse source materials highlight the palimpsestic and intertextual nature of artistic adaptations and encourage audiences to engage in egalitarian, boundary-defying cultural production, and innovative blurring of genres, media, and authorship.
Analysis of host plant availability and use by 2 species of soldier beetles (Coleoptera: Cantharidae) using community-gathered digital specimens
Authors: Catron Katlyn A , Hennen Derek A , Wagner Jennie F , Brown Bryan L , Weber Donald C , Kuhar Thomas P 
Published: July 2023

Abstract
Digital specimens collected by community members are a largely untapped source of entomological data. By mining and curating data from photo observations uploaded to online community data repositories, researchers can utilize this wealth of information to address questions about predator–prey interactions, phenotypic variation within species, plant–pollinator interactions, and a host of other topics. We mined data from photo observations on the community science website iNaturalist to investigate patterns in host plant availability and affiliation by 2 species of soldier beetles, Chauliognathus marginatus (F.) and Chauliognathus pensylvanicus (De Geer). Chauliognathus marginatus was observed with white flowers more than expected based on their potential availability, while C. pensylvanicus was observed with yellow flowers over all other flower colors and more than expected based on their potential availability. Communities of flowers available to, and observed with, C. marginatus and C. pensylvanicus differed significantly at the family and genus levels. To our knowledge, this is the first study to utilize a dataset mined and curated from community science photo observations to address species-specific behavior and ecology questions. With appropriate study design and analytical methods, these types of data could prove invaluable in future investigations of a variety of entomological and ecological questions.
Translation of a Claims-Based Frailty Index From the International Classification of Diseases, Ninth Revision, Clinical Modification to the Tenth Revision
Authors: Duchesneau Emilie D , Shmuel Shahar , Faurot Keturah R , Park Jihye , Musty Allison , Pate Virginia , Kinlaw Alan C , Stürmer Til , Yang Yang Claire , Funk Michele Jonsson , Lund Jennifer L 
Published: July 2023

Abstract
The Faurot frailty index (FFI) is a validated algorithm that uses enrollment and International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM)–based billing information from Medicare claims data as a proxy for frailty. In October 2015, the US health-care system transitioned from the ICD-9-CM to the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). Applying the Centers for Medicare and Medicaid Services General Equivalence Mappings, we translated diagnosis-based frailty indicator codes from the ICD-9-CM to the ICD-10-CM, followed by manual review. We used interrupted time-series analysis of Medicare data to assess the comparability of the pre- and posttransition FFI scores. In cohorts of beneficiaries enrolled in January 2015–2017 with 8-month frailty look-back periods, we estimated associations between the FFI and 1-year risk of aging-related outcomes (mortality, hospitalization, and admission to a skilled nursing facility). Updated indicators had similar prevalences as pretransition definitions. The median FFI scores and interquartile ranges (IQRs) for the predicted probability of frailty were similar before and after the International Classification of Diseases transition (pretransition: median, 0.034 (IQR, 0.02–0.07); posttransition: median, 0.038 (IQR, 0.02–0.09)). The updated FFI was associated with increased risks of mortality, hospitalization, and skilled nursing facility admission, similar to findings from the ICD-9-CM era. Studies of medical interventions in older adults using administrative claims should use validated indices, like the FFI, to mitigate confounding or assess effect-measure modification by frailty.
iBT-Net: an incremental broad transformer network for cancer drug response prediction
Authors: Zhan Yongkang , Guo Jifeng , Philip Chen C L , Meng Xian-Bing 
Published: July 2023

Abstract
In modern precision medicine, it is an important research topic to predict cancer drug response. Due to incomplete chemical structures and complex gene features, however, it is an ongoing work to design efficient data-driven methods for predicting drug response. Moreover, since the clinical data cannot be easily obtained all at once, the data-driven methods may require relearning when new data are available, resulting in increased time consumption and cost. To address these issues, an incremental broad Transformer network (iBT-Net) is proposed for cancer drug response prediction. Different from the gene expression features learning from cancer cell lines, structural features are further extracted from drugs by Transformer. Broad learning system is then designed to integrate the learned gene features and structural features of drugs to predict the response. With the capability of incremental learning, the proposed method can further use new data to improve its prediction performance without retraining totally. Experiments and comparison studies demonstrate the effectiveness and superiority of iBT-Net under different experimental configurations and continuous data learning.
Striking Ethical Balances: The Contribution of ‘Insider’ Practitioner–Academic Social Work Research in England
Authors: Ashworth Charlotte , Burke Nick 
Published: July 2023

AbstractClinical-academics are well established and expanding in English health settings. However, despite growing evidence that research-active organisations improve service quality and outputs, research by social work practitioners remains relatively rare in social work practice in England other than as part of qualifying or post-qualifying study. In this context, the National Institute for Health and Care Research developed new funding streams to support the development of ‘practitioner–academics’, as an equivalent to clinical-academics in health settings. As early career practitioner–academics, who undertake research whilst remaining employed in our social work organisations, we present a case for practitioner–academic research, via two small research projects within our teams based on creative methods and focus groups. These projects illustrate the benefits of practitioner–academics in the knowledge production process, improving access to hard-to-reach research areas, developing swift rapport, which facilitates the production of rich and reliable data, and providing a novel means to navigate ethical issues including researcher positionality and research sensitivity. We also highlight challenges around informed consent, employee roles and researcher bias, including where practitioners are critical of practice within their service areas or are exposed to criticism themselves.