bluuebunny/crossref_metadata_2025_split huggingface dataset:
Translating artworks
Authors: Bartolini Chiara 
Published: May 2024

Abstract
This contribution, which sits at the intersection of translation studies and museum studies (MS), seeks to explore multiple forms of interpretation developed by museums, whereby interpretation is considered, from an MS perspective, as a variety of museum aids creating a context and conveying mediated meanings about the objects on display. The focus is on individual interpretative texts produced by an Italian art gallery, the Pinacoteca di Brera, as the results of various interpretation processes about the same piece of art: the traditional label, the online description, the general audio guide, and the audio description for the blind and the visually impaired (the latter comprising both the visual description itself and the art historical description). A selection of texts in Italian and their translations into English describing four artworks from the museum collection are compared in a bid to shed light on the distinct layers of interpretation and ways of translating and representing the objects for different expected audiences through intralingual, interlingual, and intersemiotic translation practices.
Research on Quantitative Expression of Priority for Imaging Satellite Requirements
Authors: Zhao Yulong , Zhang Yuan , Xu Can , Hou Xiang 
Published: May 2024

Abstract
This article conducts a quantitative expression study on the priority of imaging satellite requirements to address the issue of quickly and scientifically sorting user imaging requirements. Firstly, a priority evaluation system for imaging requirements was constructed by comprehensively considering factors such as user level, importance of requirements, observation efficiency, and urgency. Secondly, quantitative indicators were provided for the relative importance of various elements that affect the priority of satellite requirement through expert scoring, and a judgment matrix for the priority evaluation system was established. Finally, the weight coefficient vector of the evaluation system was solved using the principle of minimum square difference. A quantitative expression for imaging satellite requirement priority was constructed based on the weighted sum method. The effectiveness of the quantitative expression for imaging satellite requirement priority was verified through experimental data, effectively solving the problem of imaging requirement selection when satellite resources are insufficient.
A Unified SoS and System Architecture Modeling Approach Based on Language Transformation and Extension Mechanisms
Authors: Guo Yuqiang , Li Yingxu , Zhao Jun , Zhao Hui , Guo Junxian 
Published: May 2024

Abstract
UAFML or UPDM is the language for modeling System of System(SoS) architecture. While SysML is used to model system architecture with solid connections with requirements, multidisciplinary analysis, software development, verification, etc. Many companies export the SoS architecture model into an XMI file or even a Word document to the system-architecture-level design team to perform further development. It will cost more time and may cause information inconsistency in practice. To bridge the gap, studying a more economical way to perform the modeling information exchange is necessary. This paper studied architecture modeling language building and transformation mechanisms and proposed a unified SoSE and SE modeling approach, which will make the most of the architecture model, guarantee the different architecture level model consistency and save cost.
Study on the Control Mechanism of DBD-PA on Near Wall Flow
Authors: Zhang Yanghui , Qian Qiaochu , Hu Xingjun 
Published: May 2024

Abstract
Based on the Shyy plasma simulation model, this paper studied the control mechanism of positive and reverse DBD-PA (dielectric barrier discharge plasma actuator) on near wall flow, and discussed the influence of incoming boundary layer thickness and parallel double DBD-PA on control effect. The results showed that: the positive DBD-PA had an obvious acceleration effect on the near wall flow field, and the acceleration effect first increased and then decreased; the reverse DBD-PA had an obvious deceleration effect on the near wall flow field, and the deceleration effect decreased gradually; increasing the thickness of the incoming boundary layer can improve the control effect, but the improvement effect is gradually reduced; when parallel double DBD-PA, the control effect of positive and reverse DBD-PA is improved by 88.7 % and 62.5 % respectively.
Comparative Study of In-Wheel Motor Control Systems Based on Multiple Controllers
Authors: Pan Deng , Liu Yicai , Gao Jun 
Published: May 2024

Abstract
This paper proposes a comparative study of hub motor control based on multiple control strategies (pi control, direct torque control, model predictive current control) to address the problem of slow dynamic response in traditional vector control of electric vehicle permanent magnet synchronous hub motors. By strictly extracting the mathematical model of the motor, the desired target voltage vector and current vector are derived using three controllers and applied to the controlled object. Finally, experiments are conducted on a simulation platform, and the experimental conclusions are used to compare and analyze the reliability and adaptability of different controllers.
Numerical Study on Cable Force Adjustment System for Replacing Slings of In-Service Suspension Bridges
Authors: Mao Yan , Han Xu , Zhang Xinmin , Li Pengfei , Wei Sicong 
Published: May 2024

Abstract
To conduct a systematic investigation on the replacement scheme for slings in service of suspension bridges, five feasible tensioning schemes were determined based on numerical simulation and analytical methods using the sling replacement project of an existing bridge as a case study. The safety performance of the bridge was evaluated by considering parameters such as sling position, quantity, order, and force value. According to the coupling relationship between different slings during the tensioning process, a precise analytical calculation model for adjusting cable force of the suspender is determined. The findings demonstrate that the dynamic performance of the completed bridge solely depends on its final state and remains unaffected by the intermediate tensioning process of suspension. The research findings suggest that symmetrically batch or stepwise tensioning can be applied to the suspension bridge slings with cable adjustment sequence from both ends to middle span replacement scheme to minimize structural response and optimize mechanical properties.
Research on the Overall Influence of Magnus Cylinders on Airfoil Structures and Structural Optimization
Authors: Su Zhengyu , Yang Baosheng , Li Yongyuan , Jiang Yi , Ren Fantao 
Published: May 2024

Abstract
With the coupling effect of Magnus cylinder and symmetric airfoil as the research object, the numerical analysis method is used to study the influence of Magnus cylinder layout position and protruding height ratio on the aerodynamic characteristics of the airfoil. Based on the aerodynamic law of Magnus airfoil and Optistruct deformer optimisation method, the optimisation model of Magnus airfoil structure is proposed. Results reveal that the placement of the Magnus cylinder near the leading edge of the upper surface and the trailing edge of the lower surface significantly impacts the aerodynamic characteristics of the Magnus airfoil. Moreover, as the protruding height ratio increases, the aerodynamic performance of the airfoil experiences an initial enhancement followed by a reduction. Under the conditions of an 8° angle of attack and a Reynolds number of 9.5×105, the optimized aerodynamic performance of the Magnus airfoil demonstrates a remarkable increase of 17.5% compared to the baseline airfoil, accompanied by a significant reduction of 28.1% in stress concentration.
PromptNet: Prompt Learning for Roof Photovoltaic Potential Assessment
Authors: Han Xu , Wang Jing , Liu Xun , Du Jun , Bai Xiaolan , Ji Ran 
Published: May 2024

Abstract
An increasing number of works have been proposed to use remote sensing images to assess the potential for rooftop Photovoltaic (PV) energy development in buildings. However, most methods focus mainly on the remote sensing images themselves, ignoring the key prior information of building type. Thus most works with Deeplabv3+ as backbone present suboptimal performance. To overcome this challenge, we propose a novel approach PromptNet that embeds the building types as prior knowledge and feed it into prompt learning for predict roof PV energy Potential. Specifically, a pre-trained semantic segmentation network, Deeplabv3+, is first constructed to detect potential building rooftops from remote sensing images. Then, the buildings are categorized into five types based on their functions, including government buildings, public buildings, industrial and commercial factories, agricultural housing, and other building types. Finally, by using prompt learning, the prior knowledge of buildings is established and associated with the rooftops that are suitable for PV energy development. This is embedded into a deep learning network, filtering out unsuitable rooftops, and significantly improving the accuracy of rooftop PV energy development. Comprehensive experiments show that the proposed method achieves 81.18% accuracy and 76.90% IOU in predicting the potential for rooftop PV energy, a 10.97% improvement in IoU compared to the backbone without prior knowledge.
Characterization of the BigRock 28 nm fast timing Analog Front End
Authors: Krieger Amanda , Caisley Kennedy , Garcia-Sciveres Maurice , Grace Carl , Heim Timon , Zhang Zhicai 
Published: May 2024

Abstract
An initial characterization of the BigRock high-speed, low-power Analog Front End (AFE) is presented. The BigRock AFE previously described in [1] has been refined in a second generation testbed ASIC, Pebbles. The AFE utilizes a current-mode signal path that has been designed for 4D tracking applications with precision time resolution of order 50 ps. The preamplifier concept is based on a prior art current-feedback CMOS topology in [2]. An on-chip test bench comprised of a variable injection circuit and high-resolution TDC measures the AFE timing resolution. An array of integrated load capacitors and IO IPs enhance the characterization capability. These full-custom pads include LVDS and clock receivers, CML output driver, and simple analog buffer pads designed at the process core voltage (0.9 V) on a 90 μm/180 μm pitch. Critical noise and timing metrics for an array of input detector capacitance ranging 0 to 100 fF have been measured.
Molecular mechanism of smectisation and regulation of polymorphism in nematic liquid crystal systems
Authors: Bezhanova L. , Vasilyan M. , Atanesyan A. 
Published: May 2024

Abstract
The study explores the application of catastrophe theory to describe the molecular mechanisms of smectisation and the regulation of polymorphism in nematic liquid crystal (NLC) systems. We propose a new approach for describing the stable and unstable states of NLC systems that induce the smectic (Sm) phase. A relation between the control variables of the cusp catastrophe and the Sm order parameter in NLC systems has been identified. The equilibrium states of the Sm phase are determined within the framework of catastrophe theory. By applying catastrophe theory to study the thermodynamic potential of an NLC system, we provide a detailed description of how the functional potential geometry changes depending on the control variables. The local geometry around the extremes of the functional thermodynamic potential allows for controllable catastrophes.
A novel cryogenic VUV spectrofluorometer for the characterization of wavelength shifters
Authors: Leonhardt Andreas , Goldbrunner Maximilian , Hackett Brennan , Schönert Stefan 
Published: May 2024

Abstract
We present a novel cryogenic VUV spectrofluorometer designed to characterize wavelength shifters (WLS) crucial for experiments based on liquid argon (LAr) scintillation light detection. Wavelength shifters like 1,1,4,4-tetraphenyl-1,3-butadiene (TPB) or polyethylene naphthalate (PEN) are used in these experiments to shift the VUV scintillation light to the visible region. Precise knowledge of the optical properties of the WLS at liquid argon's temperature (87 K) and LAr scintillation wavelength (128 nm) is necessary to model and understand the detector response. The cryogenic VUV spectrofluorometer was commissioned to measure the emission spectra and relative wavelength shifting efficiency (WLSE) of samples between 300 K to 87 K for VUV (120 nm to 190 nm) and UV (310 nm) excitation. New mitigation techniques for surface effects on cold WLS were established. As part of this work, the TPB-based wavelength shifting reflector (WLSR) featured in the neutrinoless double-beta decay experiment LEGEND-200 was characterized. The WLSE was observed to increase by (54 ± 5) % from room temperature (RT) to 87 K. PEN installed in LEGEND-200 was also characterized, and a first measurement of the relative WLSE and emission spectrum at RT and 87 K is presented. The WLSE of amorphous PEN was found to be enhanced by at least (37 ± 4) % for excitation with 128 nm and by (52 ± 3) % for UV excitation at 87 K compared to RT.
The role and deployment timing of direct air capture in Saudi Arabia’s net-zero transition
Authors: Qiu Yang , Iyer Gokul , Fuhrman Jay , Hejazi Mohamad , Kamboj Puneet , Kyle Page 
Published: May 2024

Abstract
The Kingdom of Saudi Arabia (KSA) has pledged to achieve net-zero greenhouse gas emissions by 2060. Direct air carbon capture and storage (DACCS) is critical for the country to meet its net-zero target given its reliance on fossil fuels and limited options for carbon dioxide removal (CDR). However, the role of DACCS in KSA’s national climate change mitigation has not been studied in the literature. In this study, we aim to understand the potential role of DACCS and the effect of its deployment timing in KSA’s transition toward its net-zero target using the Global Change Analysis Model (GCAM)-KSA, which is a version of GCAM with KSA split out as an individual region. We find that the annual DACCS CO2 sequestration in KSA reaches 0.28–0.33 Gt yr−1 by 2060 depending on its deployment timing. Early DACCS deployment, driven by its early and rapid cost reduction worldwide, could bring significant savings (∼420 billion USD during 2020–2060) in the cost of climate change mitigation in KSA, approximately 17% reduction relative to delayed DACCS deployment. Our study suggests a strong role for KSA to proactively invest in the R&D of DACCS, initiate early DACCS deployment, and explore a broad suite of CDR options.
Residual emissions and carbon removal towards Japan’s net-zero goal: a multi-model analysis
Authors: Sugiyama Masahiro , Fujimori Shinichiro , Wada Kenichi , Kato Etsushi , Matsuo Yuhji , Nishiura Osamu , Oshiro Ken , Otsuki Takashi 
Published: May 2024

Abstract
We study Japan’s net-zero emissions target by 2050 in a multi-model framework, focusing on residual emissions and carbon dioxide removal (CDR). Four energy-economic and integrated assessment models show similar but stronger strategies for the net-zero target, compared to the previous, low-carbon policy target (80% emissions reduction). Results indicate that around 90% (inter-model median) of the current emissions are reduced through abatement, including improved energy efficiency and cleaner electricity and fuels. Models deploy new options such as CDR based on carbon capture and storage (CCS) (bioenergy with CCS and direct air carbon dioxide capture and storage) and hydrogen to achieve net zero. The scale of CCS-based CDR deployment reaches an inter-model median of 132Mt-CO2/yr. The median hydrogen share of final energy in 2050 increases from 0.79% to 6.9% between the low-carbon and net-zero scenarios. The CDR sensitivity analysis reveals that limiting the use of CDR significantly increases the mitigation costs for net zero. Achieving Japan’s net-zero goal will require exploring methods to reduce residual emissions, including demand-side solutions, and accelerating responsible CDR policies.
Revolutionizing crowd surveillance through voice-driven face recognition empowering rapid identification: towards development of sustainable smart cities
Authors: Bhat Manish , Paul Samuel , Sahu Umesh Kumar , Yadav Umesh Kumar 
Published: May 2024

Abstract
Recent global efforts to create sustainable smart cities have significantly transformed society and improved the lives of people. Nowadays, crowd surveillance (CS) has become essential in sustainable smart cities and society to protect public safety and security. In this regard, the face-based human detection system has received considerable attention because it is recognized as an emerging method in crowd surveillance applications. Thus, in this work, a new method for real-time identification of people for a crowd surveillance system (CSS) that uses facial and speech recognition technology has been introduced. In traditional CS systems, human operators are frequently used by crowd surveillance systems to watch and evaluate video feeds. Human error and operator weariness may result in lost opportunities or slow replies, which reduce the system’s efficacy. Certain procedures, including the initial identification and monitoring of people in video feeds, can be automated using a voice-activated system. To address the issues with the present CSS, a new framework Voice-Activated Face Recognition (VAFR) is proposed in this work. The proposed framework combines the speech and face recognition models for crowd surveillance. Experimental and simulation studies have been performed to analyze the performance of the proposed VAFR framework. The proposed framework uses the Viola-Jones algorithm for face identification and the Conformer architecture for speech analysis, reaching a noteworthy 99.8% accuracy rate in live video feeds. In addition, the ethical and safety aspect of the proposed VAFR system is presented.
Impact of a health-system specialty pharmacy on time to upadacitinib initiation
Authors: Choi David , Rubin David T , Man Bernice 
Published: May 2024

Abstract

Purpose
Upadacitinib has been found to improve symptoms as early as day 1 in patients with inflammatory bowel disease. As a result, early and timely initiation of upadacitinib is paramount to prevent hospital admission for an acute flare. The purpose of this study was to identify the time to initiation of upadacitinib, comparing external specialty pharmacies (ESPs) to a health-system specialty pharmacy (HSSP).

Methods
This was a single-center, retrospective study at the University of Chicago Medicine (UCM) Inflammatory Bowel Disease Center and included patients initiated on upadacitinib between March 1, 2022, and April 1, 2023. Data collected included demographics, prior authorization information, appeal information, insurance type, date the prescription was sent, and date the patient initiated therapy (patients were called to confirm the date). The primary outcome evaluated was the days from prescribing to patient initiation. Secondary outcomes included the total time to initiation and the time to notification from insurance regarding determination of a prior authorization or appeal. Patients were excluded if they were lost to follow-up, initiated therapy through alternative means, or had previously initiated upadacitinib.

Results
A total of 107 patients were initiated on upadacitinib during the study period (n = 18 through the UCM HSSP, n = 89 through an ESP). The median number of days to patient initiation was 3 days (interquartile range, 3-6 days) for the UCM specialty pharmacy vs 9 days (interquartile range, 4-13 days) for ESPs (P = 0.003). A total of 88.9% of patients filling through the UCM specialty pharmacy initiated upadacitinib within 7 days, compared to 47.2% of patients filling through an ESP (P = 0.001). Seven patients needed earlier initiation of therapy to prevent hospital admission.

Conclusion
This study validates the ability of HSSPs to initiate therapies earlier than ESPs with a particular focus on upadacitinib.
Diagnostic accuracy of autofluorescence-Raman microspectroscopy for surgical margin assessment during Mohs micrographic surgery of basal cell carcinoma
Authors: Boitor Radu A , Varma Sandeep , Sharma Ashish , Odedra Sunita , Elsheikh Somaia , Eldib Karim , Patel Anand , Koloydenko Alexey , Gran Sonia , De Winne Koen , Koljenovic Senada , Williams Hywel C , Notingher Ioan 
Published: May 2024

Abstract

Background
Autofluorescence (AF)–Raman microspectroscopy is a technology that can detect residual basal cell carcinoma (BCC) on the resection margin of fresh, surgically excised tissue specimens. The technology does not require tissue fixation, staining, labelling or sectioning, and provides quantitative diagnosis maps of the surgical margins in 30 min.

Objectives
To determine the accuracy of the AF–Raman instrument in detecting incomplete BCC excisions during Mohs micrographic surgery (MMS), using histology as the reference standard.

Methods
Skin layers from 130 patients undergoing MMS at the Nottingham University Hospitals NHS Trust (September 2022–July 2023) were investigated with the AF–Raman instrument. The layers were measured when fresh, immediately after excision. The AF–Raman results and the intraoperative assessment by Mohs surgeons were compared with a postoperative consensus-derived reference produced by three dermatopathologists. The sensitivity, specificity, and positive and negative predictive values were calculated. The study was registered with ClinicalTrials.gov (NCT03482622).

Results
AF–Raman analysis was successfully completed for 125 of 130 layers and, on average, covered 91% of the specimen surface area, with the lowest surface area covered being 87% for the eyelid and the highest being 94% for forehead specimens. The AF–Raman instrument identified positive margins in 24 of 36 BCC-positive cases [67% sensitivity, 95% confidence interval (CI) 49–82] and negative margins in 65 of 89 BCC-negative cases (73% specificity, 95% CI 63–82). Only one of 12 false-negative cases was caused by misclassification by the AF–Raman algorithm. The other 11 false-negatives cases were a result of no valid Raman signal being recorded at the location of the residual BCC due to either occlusion by blood or poor contact between tissue and the cassette window. The intraoperative diagnosis by Mohs surgeons identified positive margins in 31 of 36 BCC-positive cases (86% sensitivity, 95% CI 70–95) and negative margins in 79 of 89 BCC-negative cases (89% specificity, 95% CI 81–95).

Conclusions
The AF–Raman instrument has the potential to provide intraoperative microscopic assessment of surgical margins in BCC surgery. Further improvements are required for tissue processing, to ensure complete coverage of the surgical specimens.