bluuebunny/crossref_metadata_2025_split huggingface dataset:
LADRC‐based non‐characteristic harmonic suppression strategy for pumped storage power plants
Authors: Lan Zheng , Peng Xi , Liu Jie , Jiang Fei , Li Zhonglong 
Published: October 2024

AbstractThe static frequency converter (SFC) in a pumped storage power plant often causes harmonic problems in the dragging processes, which may lead to the false operation of automatic devices in the power station, and even damage to the power equipment. These harmonics caused by SFC contain both characteristic and non‐characteristic degrees, and the components are more complex. Hence, the existing harmonic suppression methods using active power filter or passive power filter compensation all have some problems. The SFC starting control strategy based on linear active disturbance rejection control (LADRC) is proposed here to reduce the non‐characteristic harmonics. First, the factors affecting the non‐characteristic harmonic content are analysed, and a mathematical model of the conventional SFC starting transfer function is established. On this basis, the LADRC controller is used as the speed loop of SFC starting to replace the proportional integral (PI) controller. The stability is judged by drawing the Bode plot and the zero‐pole plot. Finally, a Matlab/Simulink simulation model of LADRC‐based SFC starting is established in a pumped storage power plant with actual parameters, and simulation accurate measurements verify the effectiveness of the proposed control strategy for non‐characteristic harmonic current suppression.
Anomaly detection and confidence interval‐based replacement in decay state coefficient of ship power system
Authors: Chang Xingshan , Yan Xinping , Qiu Bohua , Wei Muheng , Liu Jie , Zhu Hanhua 
Published: October 2024

AbstractThe anomaly detection and predictive replacement of the degradation decay state coefficient (Desc) of ship power system (SPS) are crucial for ensuring their operational safety and maintenance efficiency. This study introduces the YC3Model, a model based on a dynamic triple sliding window mechanism, and Gaussian process regression) to address this challenge. It combines the temporal variation characteristics of the decay state coefficient's original data, first‐order, and second‐order differential data in both normal and abnormal trend intervals. The model calculates three local statistical measures within each sliding window and employs the Z‐score method for anomaly detection. The combination of three sliding windows reduces false positives and negatives, enhancing the precision of anomaly detection. For detected anomalies, Gaussian process regression is used for prediction and replacement, providing confidence intervals to increase the reliability of the predicted values. Experimental results demonstrate that the YC3Model exhibits superior anomaly detection accuracy and adaptability in the degradation process of SPS, surpassing traditional methods across a range of evaluation metrics. This confirms the potential of YC3Model in health monitoring and predictive maintenance of SPS, offering reliable data input for the intelligent operation and maintenance (IO&M) of SPS.
Optimization of reversible solid oxide cell system capacity combined with an offshore wind farm for hydrogen production and energy storage using the PyPSA power system modelling tool
Authors: Guichard Jessica , Rawlinson‐Smith Robert , Greaves Deborah 
Published: October 2024

AbstractEight scenarios where high efficiency reversible solid oxide cells (rSOC) are combined with an offshore wind farm are identified. Thanks to the PyPSA power system modelling tool combined with a sensitivity study, optimized rSOC system capacities, hydrogen storage capacities, and subsea cable connection capacities are investigated under various combinations of rSOC system capital cost, prices paid for hydrogen, and electricity prices, which give indications on the most profitable scenario for offshore hydrogen production from a 600 MW wind farm situated 60 km from shore. Low electricity prices (yearly average 45 £/MWh) combined with mild fluctuations (standard deviation 6 or 13 £/MWh) call for dedicated hydrogen production when the hydrogen price exceeds 4 £/kg. High electricity prices (yearly average 118 or 204 £/MWh), combined with extreme fluctuations (standard deviation between 73 and 110 £/MWh), make a reversible system economically profitable. The amount of hydrogen which is recommended to be reconverted into electricity depends on the price paid for hydrogen. Comparison of the optimized cases to the default case of a wind farm without hydrogen production improved profit by at least 3% and up to 908%. Comparison to the default case of dedicated hydrogen production, showed that in the case of low hydrogen prices, an unprofitable scenario can be made profitable, and improvement of profit in the case of a profitable default case starts at 4% and reaches numbers as high as 324%.
A new modelling method for satellite solar panel and its correlation verification
Authors: Wang Shuo , Yu Zhenliang , Guangming Liu , Mengxuan Wu 
Published: October 2024

AbstractIn satellite design and manufacturing, due to the influence of material properties, sandwich structure and equivalent algorithm, there is usually a significant deviation between the theoretical model and the actual physical prototype. To solve the issue, a new finite element model of satellite sailboard based on sandwich theory is constructed. The key parameters of the model are iteratively optimized by Lagrange optimization algorithm to improve its accuracy and reliability. The Lansos method is used to simulate the satellite sailboard model, and the comparison is made with the actual test model. The results show that the error of the modified model in the first six orders of frequency is less than 5%, which meets the modal correlation standard, and the modal assurance criterion (MAC) value is higher than 0.85. Compared with the uncorrected model, the first six frequency errors are reduced by 0.1%, 0.9%, 0.7%, 2.0%, 1.1% and 5.5%, respectively. At the same time, the MAC value of each mode increased by 1.9%, 3.2%, 1.2%, 2.6%, 13.1% and 27.1%, respectively. These findings show that the revised sailboard model is closer to the test model in terms of frequency and modal characteristics, while providing a higher level of accuracy and reliability.
Venusian ion escape under extreme conditions: A dynamic pressure and temperature simulation study
Authors: Katrougkalou M. C. , Persson M. , Aizawa S. , André N. , Modolo R. , Jariel E. , Kullen A. , Karlsson T. 
Published: October 2024

Context. We investigated the response of the Venusian atmospheric ion escape under the effect of interplanetary coronal mass ejections (ICMEs) using the Latmos Hybrid Simulation (LatHyS).
Aims. In particular, we focused on the influence of extreme ICME dynamic pressures and temperatures, with the temperature being a parameter that has not been extensively studied in the past.
Methods. Simulations were performed for two different dynamic pressures and three different temperatures. For the case of the dynamic pressure simulations, a density and a velocity enhancement event were studied separately. The H+ and O+ ion escape was then examined and compared for different escape channels.
Results. In both dynamic pressure enhancement cases, we find that there is no clear dependence of the O+ ion escape on the dynamic pressure, which is consistent with observations. On the other hand, the temperature of the incoming solar wind positively influences the H+ and O+ ion escape. This is attributed in part to the enhanced gyroradius of the particles, which allows them to penetrate deeper into the planet’s atmosphere.
Which is the better polyp detection metric: adenomas per colonoscopy or adenoma detection rate? A simulation modeling study
Authors: MacKenzie Todd , Xiao Sikai , Hisey William H , Robinson Christina M , Butterly Lynn , Anderson Joseph C 
Published: October 2024

Abstract
Background and study aims We compared the ability of adenoma detection rate (ADR) and adenoma per colonoscopy (APC) to assess endoscopist detection, using statistical principles and simulations.
Patients and methods We simulated a population of endoscopists and patients to compare the ability of ADR versus APC for capturing true endoscopist ability (TEA). We compared these rates with and without adjustment for patient and exam factors using multivariable models, and adjustment for imprecision due to low volume using empirical Bayes (shrinkage). Power calculations were used to compare the ability of ADR and APC to distinguish higher from lower rates over two time periods for an endoscopist.
Results APC and ADR had similar discriminatory ability for assessing TEA. This increased with higher volumes and after adjusting for risk factors and low volume using shrinkage. Higher APC and ADRs had higher power for comparing endoscopist detection over two time periods, but APC was superior to ADR. For example, there was 29% power to distinguish APCs (n = 200 colonoscopies) 0.10 from 0.15, similar to the power (28%) to distinguish corresponding ADRs: 10% and 14%. However, at same volume (n = 200), the power to distinguish higher APC rates (0.50 vs.0.75) was greater (89%) than the power (78%) for corresponding ADRs (39% vs.53%).
Conclusions Adjusting for patient and exam factors and/or using shrinkage techniques for lower-volume endoscopists can increase the correlation between TEA for both ADR and APC. For higher detection rates, APC offers more power than ADR in distinguishing differences in detection ability.
First step to environmentally sustainable endoscopy practice: a prospective study of minimizing multiple device use during screening colonoscopy at a large tertiary center
Authors: Harne Prateek S. , Harne Vaishali , Rehman Asad , Thosani Nirav , Desai Madhav 
Published: October 2024

Abstract
Background The healthcare sector generates 8% of greenhouse gas emissions in the USA, of which gastrointestinal (GI) endoscopy is the third largest contributor. Single-use tools are a major contributor to modifiable waste generation during GI endoscopy. Through a quality improvement initiative, we aimed to reduce endoscopy waste by urging gastroenterologists to be mindful of tools used during polypectomies by avoiding using multiple tools.
Methods We discussed green endoscopy initiatives in monthly journal club and business meetings. Over 14 weeks, 210 patients were included in the pre-intervention group and 112 in the post-intervention group.
Results At baseline, 34% of colonoscopies required no intervention, 32% required one tool (either biopsy forceps or a snare), and 33% required multiple tools. After the intervention, the use of just one tool increased (17 percentage point increase; P=0.003) and the use of multiple tools decreased significantly (16 percentage point decrease; P=0.002). The odds ratio for use of a single tool compared with multiple tools after the intervention was 3.0 (95%CI 1.6 to 5.5; P=0.005).
Conclusion This single-center quality improvement study noted a significant change in practice patterns favoring the use of a single tool over multiple tools during colonoscopies after an environmentally conscious practice intervention was applied. This intervention can be readily applied to reduce endoscopy-related waste.
Photochemical and Photocatalytic Deracemization Reactions
Authors: Teimouri Mohammad Bagher , Hashemian Seyed Parsa , Arabi Zanjani Seyed Mohammad , Afshar Moghadam Tara 
Published: October 2024

AbstractUnder photochemical conditions using an appropriate chiral catalyst, racemic mixtures of compounds can be converted into enantioenriched mixtures through distinguished pathways known as photochemical and photocatalytic deracemization reactions. In this graphical review, we highlight photochemical deracemization reactions that proceed in the presence of light as the key element along with a suitable chiral photocatalyst.
A route to an all direct laser written integrated FTS (SWIFTS) in the 3.39–4.1 μm range
Authors: Bonduelle Myriam , Martin Guillermo , Morand Alain , Vázquez de Aldana Javier R. , Heras Víctor Arroyo , Romero Carolina 
Published: October 2024

This work aims to present the building blocks for an all direct laser written integrated spectrometer in the mid-infrared (3.39–4.1 μm range) based on the SWIFTS (Stationary Wave Integrated Fourier Transform Spectrometer) principle. In a SWIFTS-Gabor configuration, the light from the source interferes with itself in the middle of a channel waveguide, creating a stationary wave. This interferogram is then sampled through scattering centers placed on top of the waveguide that radiate the light they extract onto a detector placed directly on the sample. Finally, the spectrum of the source is retrieved through a Fourier transform. To implement a SWIFTS, two main photonic functions are required: the waveguide and the scattering centers. In this work, both functions have been created using Direct Laser Writing (DLW), a versatile technique, allowing to easily access 3D configurations and to reduce fabrication time. DLW focuses a femtosecond laser onto a sample so as to locally change the crystal lattice, resulting in its structural modification. The waveguides presented here are surface half-circular cladding structures made through type II modifications in the sample, and the scattering centers are surface damage tracks (also referred to as grooves). These surface tracks are creating dielectric discontinuities in the evanescent part of the stationary wave, resulting in the light being radiated outside the waveguide. All of these are made in a z-cut lithium niobate substrate for future implementation of the electro-optic effect. We demonstrate that we have functional waveguides in the mid-IR and that our grooves are extracting the stationary wave as expected, showing promising results for future implementation of a complete mid-IR SWIFTS using DLW.
EURAMET.T-K9 regional key comparison ITS-90 SPRT calibration from the Ar TP to the Zn FP
Authors: Sparasci Fernando , Risegari Lara , Martin Catherine , Hermier Yves , Lopardo Giuseppina , Steur Petrus Paulus Maria , Pearce Jonathan , Bünger Lars , Rudtsch Steffen , Bruin-Barendregt Conny de , Panman Matthijs , Peruzzi Andrea , Hofstätter-Mohler Christina , Turzó-András Emese , Nedialkov Sasho , Spasova Snezhana , Petrusova Olgica , José Martín Hernandez Maria , Maldonado Dolores del Campo , García Izquierdo Carmen , Strnad Radek , Simic Slavica , Stepanovic Vladan , Nielsen Jan , Kokkini Evmorfia , Gaidamovičiūtė Lilijana , Galkauskas Linas , Mikalauskas Kęstutis , Kozicki Marek , Zvizdić Davor , Šestan Danijel , Mutapčić Nedzadeta , Stratulat Camelia , Neagu Marius Dumitru , Eusébio Liliana , Olsen Åge Andreas Falnes , Bergerud Reidun Anita , Opel Karsten , Kvernmo Gjermund , Högström Richard , Heinonen Martti , Bojkovski Jovan , Žužek Vincencij , MacLochlainn Dubhaltach , Holmsten Magnus , Senn Remo , Dobre Miruna , Pavlasek Peter , Kalemci Murat 
Published: October 2024

Main text
This is a report to the Technical Committee for Thermometry of EURAMET (EURAMET TC-T) on the regional key comparison EURAMET.T-K9 of SPRT calibration on the International Temperature Scale of 1990 (ITS-90), from 83.8058 K (the Ar triple point) to 692.677 K (the Zn fixed point). The transfer standards used are long-stem SPRTs.
EURAMET.T-K9 is an RMO key comparison linked to the CIPM key comparison CCT-K9. The comparison is organized in five separate collapsed Stars, each one having a CCT-K9 participant as pilot, which provides the link to the KCRV of CCT-K9. Four to five participating laboratories are involved in each Star. The pilots of the five Stars are LNE-Cnam, PTB, INRiM, VSL, NPL. LNE-Cnam is also the coordinator of the comparison, in charge of the collection of the measurement reports from all participants and the preparation of the final report.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCT, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Impact of bias stress and endurance switching on electrical characteristics of polycrystalline ZnO-TFTs with Al2O3 gate dielectric
Authors: Rowlinson Ben D , Zeng Jiale , Patzig Christian , Ebert Martin , Chong Harold M H 
Published: October 2024

Abstract
This study experimentally investigates electrical characteristics and degradation phenomena in polycrystalline zinc oxide thin-film transistors (ZnO-TFTs). ZnO-TFTs with Al2O3 gate dielectric, Al-doped ZnO (AZO) source–drain contacts, and AZO gate electrode are fabricated using remote plasma-enhanced atomic layer deposition at a maximum process temperature of 190 °C. We employ positive bias stress (PBS), negative bias stress (NBS), and endurance cycling measurements to evaluate the ZnO-TFT performance and examine carrier dynamics at the channel-dielectric interface and at grain boundaries in the polycrystalline channel. DC transfer measurements yield a threshold voltage of −5.95 V, a field-effect mobility of 53.5 cm2/(V∙s), a subthreshold swing of 136 mV dec−1, and an on-/off-current ratio above 109. PBS and NBS measurements, analysed using stretched-exponential fitting, reveal the dynamics of carrier trapping and de-trapping between the channel layer and the gate insulator. Carrier de-trapping time is 88 s under NBS at −15 V, compared to 1856 s trapping time under PBS at +15 V. Endurance tests across 109 cycles assess switching characteristics and temporal changes in ZnO-TFTs, focusing on threshold voltage and field-effect mobility. The threshold voltage shift observed during endurance cycling is similar to that of NBS due to the contrast in carrier trapping/de-trapping time. A measured mobility hysteresis of 19% between the forward and reverse measurement directions suggests grain boundary effects mediated by the applied gate bias. These findings underscore the electrical resilience of polycrystalline ZnO-TFTs and the aptitude for 3D heterogeneous integration applications.
Layer-number and strain effects on the structural and electronic properties of PtSe2 material
Authors: Amairi Rania , Smiri Adlen , Jaziri Sihem 
Published: October 2024

Abstract
Bandgap engineering of low-dimensional materials forms a robust basis for advancements in optoelectronic technologies. Platinum diselenide (PtSe2) material exhibits a transition from semi-metal to semiconductor (SM-SC) when going from bulk to monolayer. In this work, density functional theory (DFT) with various van der Waals (vdW) corrections has been tested to study the effect of the layer-number on the structural and electronic properties of the PtSe2 material. The considered vdW corrections gave different results regarding the number of layers at which the SM-SC transition occurs. This variation is due to the different interlayer distances found for each correction, revealing the sensitivity of the bandgap to this distance in addition to the layer number. In fact, the bandgap increases with the increasing of the interlayer distance, due to the energy shift of conduction and valence bands dominated by Se-pz
orbitals. According to the comparison with the available experimental data, the vdW corrections vdW-DF and rVV10 gave the most accurate results. Moreover, the control of the interlayer distance via vertical compressive strain led to the bandgap tuning of semiconductor PtSe2 BL. Indeed, a semi-metal character of PtSe2 BL can be obtained under 17% vertical strain. Our work shows a deep understanding of the correlation between the structural and electronic properties, and thus a possibility to tune the bandgap by strain means.
Intelligent recognition and automatic localization of pipeline welds based on multi-vision system
Authors: Li Haijun , Yang Linghui , Long Changyu , Cheng Yijia , Fan Yiyuan , Zhu Jigui 
Published: October 2024

Abstract
Currently, the leakage detection of spacecraft pipeline welds relies on manual point-by-point inspection using a detection gun, which is inefficient and inadequate for the automation needs of spacecraft production. However, the accurate recognition and precise localization of widely distributed and small pipeline welds are crucial for automated detection. Therefore, this paper proposes a multi-vision detection and localization system that integrates global and local information, considering both comprehensive global 3D search and high-precision local 3D measurement. The improved YOLOv8 model is employed for pipeline weld recognition, which improves the recognition rate of welds. Based on the deep learning recognized and segmented welds, this paper proposes stereo matching and segmentation extraction methods for 3D localization and pipeline orientation determination. Additionally, the system integrates a robot to perform automated point-by-point inspection of welds within the area without collisions. The experimental results demonstrate the effectiveness of the improved YOLOv8 and the proposed methods for 3D weld localization and pipeline orientation determination. The maximum deviation of the spatial distance of fine weld positioning is 0.20 mm, and the repeatability of the 3D coordinates is around 0.1 mm. The system can perform precise localization and detection, meeting the requirements for automatic weld recognition and localization.
A highly naturalistic facial expression generation method with embedded vein features based on diffusion model
Authors: Song Hong-Jun , Wang Ying-Li , Ma Hong-Bin , Xu Qing-Huan , Zhang Jing 
Published: October 2024

Abstract
Facial expression generation technology has achieved notable progress in computer vision and artificial intelligence. However, challenges persist regarding background consistency, expression clarity, and detailed representation. Additionally, the instability of generative adversarial networks (GANs) during training affects both image quality and diversity. While diffusion models have demonstrated potential advantages over GANs, research on controllable expression generation remains limited. To address these challenges, this paper proposes a highly natural facial expression generation method based on denoising diffusion implicit models (DDIM) with embedded vein features. This approach avoids adversarial training by employing gradual diffusion to generate specific expressions, thereby enhancing both the diversity and authenticity of the images. Vein features are introduced and embedded within the generated expression images to protect the intellectual property (IP) of algorithm-generated digital resources. Firstly, image and expression text guide words are combined as conditional inputs to improve the authenticity and diversity of the generated images. Secondly, a classification coding network is introduced to guide expression generation, thus enhancing the accuracy and consistency of the produced expressions. Furthermore, this paper proposes a vein feature fusion method based on multi-directional local dynamic feature coding operator and integrates DDIM with frequency-domain watermarking technology to achieve image IP protection. Experimental results demonstrate the effectiveness of this method across several public datasets, including FFHQ, CelebA, FV-USM, and SDUMLA-HMT. Notably, in the CelebA dataset, the average expression recognition rate increased by 11.41%, with a 100.00% recognition rate for happy expressions. The generated expression images exhibit a high degree of authenticity and consistency, and the video conversion tests reveal a natural and smooth effect. These results confirm that this method not only advances facial expression generation technology but also significantly enhances the steganographic protection of images.