bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new generative adversarial network for medical images super resolution
Authors: Ahmad Waqar , Ali Hazrat , Shah Zubair , Azmat Shoaib 
Published: June 2022

AbstractFor medical image analysis, there is always an immense need for rich details in an image. Typically, the diagnosis will be served best if the fine details in the image are retained and the image is available in high resolution. In medical imaging, acquiring high-resolution images is challenging and costly as it requires sophisticated and expensive instruments, trained human resources, and often causes operation delays. Deep learning based super resolution techniques can help us to extract rich details from a low-resolution image acquired using the existing devices. In this paper, we propose a new Generative Adversarial Network (GAN) based architecture for medical images, which maps low-resolution medical images to high-resolution images. The proposed architecture is divided into three steps. In the first step, we use a multi-path architecture to extract shallow features on multiple scales instead of single scale. In the second step, we use a ResNet34 architecture to extract deep features and upscale the features map by a factor of two. In the third step, we extract features of the upscaled version of the image using a residual connection-based mini-CNN and again upscale the feature map by a factor of two. The progressive upscaling overcomes the limitation for previous methods in generating true colors. Finally, we use a reconstruction convolutional layer to map back the upscaled features to a high-resolution image. Our addition of an extra loss term helps in overcoming large errors, thus, generating more realistic and smooth images. We evaluate the proposed architecture on four different medical image modalities: (1) the DRIVE and STARE datasets of retinal fundoscopy images, (2) the BraTS dataset of brain MRI, (3) the ISIC skin cancer dataset of dermoscopy images, and (4) the CAMUS dataset of cardiac ultrasound images. The proposed architecture achieves superior accuracy compared to other state-of-the-art super-resolution architectures.
Mid-infrared supercontinuum-based Fourier transform spectroscopy for plasma analysis
Authors: Krebbers R. , Liu N. , Jahromi K. E. , Nematollahi M. , Bang O. , Woyessa G. , Petersen C. R. , van Rooij G. , Harren F. J. M. , Khodabakhsh A. , Cristescu S. M. 
Published: June 2022

AbstractBroadband mid-infrared (MIR) spectroscopy is a well-established and valuable diagnostic technique for reactive plasmas. Plasmas are complex systems and consist of numerous (reactive) types of molecules; it is challenging to measure and control reaction specificity with a good sensitivity. Here, we demonstrate the first use of a novel MIR supercontinuum (SC) source for quantitative plasma spectroscopy. The SC source has a wide spectral coverage of 1300–2700 cm−1 (wavelength range 3.7–7.7 μm), thus enabling broadband multispecies detection. The high spatial coherence of the MIR SC source provides long interaction path lengths, thereby increasing the sensitivity for molecular species. The combination of such a SC source with a custom-built FTIR spectrometer (0.1 cm−1 spectral resolution) allows detection of various gases with high spectral resolution. We demonstrate its potential in plasma applications by accurate identification and quantification of a variety of reaction products (e.g. nitrogen oxides and carbon oxides) under low-pressure conditions, including the molecular species with overlapping absorbance features (e.g. acetone, acetaldehyde, formaldehyde, etc.).
Mapping of the mechanical response in Si/SiGe nanosheet device geometries
Authors: Murray Conal E. , Yan Hanfei , Lavoie Christian , Jordan-Sweet Jean , Pattammattel Ajith , Reuter Kathleen , Hasanuzzaman Mohammad , Lanzillo Nicholas , Robison Robert , Loubet Nicolas 
Published: June 2022

AbstractThe performance of next-generation, nanoelectronic devices relies on a precise understanding of strain within the constituent materials. However, the increased flexibility inherent to these three-dimensional device geometries necessitates direct measurement of their deformation. Here we report synchrotron x-ray diffraction-based non-destructive nanoscale mapping of Si/SiGe nanosheets for gate-all-around structures. We identified two competing mechanisms at different length scales contributing to the deformation. One is consistent with the in-plane elastic relaxation due to the Ge lattice mismatch with the surrounding Si. The second is associated with the out-of-plane layering of the Si and SiGe regions at a length scale of film thickness. Complementary mechanical modeling corroborated the qualitative aspects of the deformation profiles observed across a variety of nanosheet sample widths. However, greater deformation is observed in the SiGe layers of the nanosheets than the predicted distributions. These insights could play a role in predicting carrier mobilities of future devices.
A PFC converter topology based on active power decoupling circuit with asymmetric small split capacitors
Authors: Zhang Chao 
Published: June 2022

AbstractA novel active power decoupling converter (APDC) applied in power factor correction (PFC) converter is proposed, which overcomes the problem that the DC‐link voltage ripple of small capacitor PFC converters depend heavily on the consistency of capacitors. The proposed APDC consists of a boost circuit and a pulsating power buffer circuit, and the DC link is composed of two asymmetric film split capacitors connected in series. The former controls the grid quality, and the latter controls voltages complementary to suppress the DC‐link voltage ripple. Experiments verify the effectiveness of the proposed PFC converter.
CEFusion: Multi‐Modal medical image fusion via cross encoder
Authors: Zhu Ya , Wang Xue , Chen Luping , Nie Rencan 
Published: June 2022

AbstractMost existing deep learning‐based multi‐modal medical image fusion (MMIF) methods utilize single‐branch feature extraction strategies to achieve good fusion performance. However, for MMIF tasks, it is thought that this structure cuts off the internal connections between source images, resulting in information redundancy and degradation of fusion performance. To this end, this paper proposes a novel unsupervised network, termed CEFusion. Different from existing architecture, a cross‐encoder is designed by exploiting the complementary properties between the original image to refine source features through feature interaction and reuse. Furthermore, to force the network to learn complementary information between source images and generate the fused image with high contrast and rich textures, a hybrid loss is proposed consisting of weighted fidelity and gradient losses. Specifically, the weighted fidelity loss can not only force the fusion results to approximate the source images but also effectively preserve the luminance information of the source image through weight estimation, while the gradient loss preserves the texture information of the source image. Experimental results demonstrate the superiority of the method over the state‐of‐the‐art in terms of subjective visual effect and quantitative metrics in various datasets.
Preventive effect of silver nanowires (Ag NWs) on oral implant repair infection
Authors: Shan Xian‐Feng , Zhang Shu‐Tong , Qi Zhen‐Wei , Guan Qing‐Hua , Xu Wei‐Wei , Yi He‐Nan 
Published: June 2022

AbstractThe silver nanowires with different morphology and size have been synthesised via the one‐step solvothermal synthesis method. Three as‐synthesised samples 1–3 with different size have been obtained by changing the crystallisation time of the silver wire. The synthesised strategies for 1–3 provide us with new synthesised methods in designing and obtaining the silver nanowires with desired morphology. For the treatment of oral implant repair infection, the biological activity of silver nanowires 1–3 was evaluated, and the related mechanism was discussed at the same time. Firstly, the CFU assay was conducted to measure the inhibitory activity of silver nanowires 1–3 on the survival of Porphyromonas periodontium. Then, the real time RT‐PCR assay was performed and the relative expression of Porphyromonas periodontium survival gene expression was measured after silver nanowires 1–3 treatment. The CCK‐8 assay was conducted to measure the toxicity of the silver nanowires 1–3.
The high‐efficiency co‐design and the measurement verification of high‐bandwidth silicon photonic microring modulator
Authors: Wu Yue , He Huimin , Cao Rui , Liu Fengman 
Published: June 2022

AbstractThe microring modulator (MRM) is a small‐size and low‐power component, which is the potential for the next‐generation optical interconnection. By the theoretical analysis, increasing the electrical bandwidth, which is relevant to the cross section and the doping concentration of the doping region, is a better way to increase electro‐optical (EO) bandwidth. Therefore, a new doping profile of the PN depletion region with 4 doping concentration levels is introduced considering the electrical bandwidth. Based on the new doping profile, the MRM with the 160 μm length and the 0.33 and 0.2 μm coupling space are determined considering the trade‐off between the EO bandwidth, quality factor (Q), extinction ratio, area of MRM, and power consumption. Moreover, the MRM is characterised and is applied in a wavelength division multiplexing transmitter. By the measurement, the transmitter with the designed MRM could transmit PAM4 signal at 52 Gbps rate, which indicates the MRM could be potential for the 50 Gbps/ch optical interconnection.
Generalised model predictive controller design for A DC–DC non‐inverting buck–boost converter optimised with a novel identification technique
Authors: Ghamari Seyyed Morteza , Khavari Fatemeh , Molaee Hasan , Wheeler Patrick 
Published: June 2022

AbstractAn on‐line generalised model predictive control (GMPC) strategy is designed and optimised with a novel identification procedure in the presence of different disturbances. The principle of MPC is utilising a discrete‐time model of a system to reach the control variables with a prediction over these values, which is followed by computing a cost function for the control aims. Non‐inverting buck–boost converter is a non‐minimum phase system based on its boost mode, which makes a challenging condition for designing a stable controller. The proposed control technique described in this paper removes the requirement for a system mathematical model adopting a black‐box identification method which can decrease the computational burden. Numerous harmful disturbances can affect a DC–DC converter; thus, the GMPC scheme is used along with a novel improved exponential regressive least identification algorithm as an adaptive strategy for the controller to optimise the gains of the controller in an on‐line way resulting in better disturbance rejection. A PID controller with particle swarm optimisation algorithm is designed for this converter to be compared with the GMPC controller. Finally, the efficiency of the GMPC is verified in various performances with experimental and simulation results.
Control scheme to extend lifetime of BESS for assisting wind farm to track power generation plan based on wind power feature extraction
Authors: Yu Yang , Chen Dongyang , Wang Boxiao , Wu Yuwei , Lu Wentao , Mi Zengqiang 
Published: June 2022

AbstractIn allusion to the issues of high loss of lifetime and neglecting scheduling potential, a control scheme to extend BESS lifetime for assisting wind farm to track power generation plan based on wind power feature extraction through improved whale optimization algorithm (IWOA) optimized swing door trending (IWOA‐SDT) is proposed. Firstly, an IWOA is designed to optimize the compression offset of the swing door trending algorithm. The preliminary wind power feature is extracted by IWOA‐SDT and is further corrected with actual output of wind power to acquire the corrected wind power feature. Secondly, BESS is divided into two groups and the second battery group is subdivided into three battery clusters, and their capacities are configured by the deviation between preliminary feature and forecasted power. The grouping state of battery units is dynamically adjusted based on devised dynamic grouping method at the corresponding time of corrected wind power feature. The power coordinative allocation approach of the two battery groups is designed. A power coordinative allocation strategy for battery groups is devised to obtain the power regulation signals of two battery groups. The power allocation in battery units of the first group is calculated by the number of the units, and the double‐layer power allocation in battery units of the second group coordinated with multiple rules is devised. Finally, the proposed control scheme is implemented in a wind farm to track the power generation plan, and the results show that the wind farm with BESS can accurately track the power generation plan, the service life of BESS is significantly extended and the scheduling potential is sufficient for the next period.
Social welfare improvement using market clearing mechanism of a wind farm‐CAES hybrid congested transmission system
Authors: Das Shreya Shree , Dawn Subhojit , Gope Sadhan , Alhelou Hassan Haes 
Published: June 2022

AbstractThe goal of any well‐established deregulated power sector is to satisfy their customer by delivering the power with maintaining the best quality at a reasonable price. This paper presents the impression of the wind farm (WF) and compressed air energy storage (CAES) hybrid systems in the congested deregulated power system. The main motto of this work is to enhance social welfare by using a market‐clearing mechanism of the WFCAES hybrid system. To determine the effect of the hybrid system, initially the market‐clearing power (MCPO) problem is measured without considering the WF‐CAES hybrid system, and then the same work has been carried out with considering the WF‐CAES hybrid system. The bus sensitivity factor (BSF) decides the optimal position of the WF‐CAES hybrid system in the congested day‐ahead electrical system. The study is followed out through generator sensitivity factor (GSF) with the application of artificial bee colony algorithm (ABC) and slime mould algorithm (SMA) to calculate optimal market clearing price (MCP) and market clearing volume (MCV). The market‐clearing power problem has been solved in a modified IEEE‐30 bus test system. The SMA algorithm is been implemented in the market‐clearing mechanism for the first time which is the novelty of this paper.
New classes inference, few‐shot learning and continual learning for radar signal recognition
Authors: Luo Jiaji , Si Weijian , Deng Zhian 
Published: June 2022

AbstractAutomatic radar modulation recognition plays a significant role in both civilian and military applications. With the rapid development of deep learning, convolutional neural networks have achieved demonstrated success in radar signal recognition. However, the convolutional neural networks usually only recognise trained classes, and when the dataset changes, the networks need to be retrained. However, in actual radar signal recognition applications, the model usually needs to predict new radar signals, and the size of the training set will continue to accumulate. Therefore, few‐shot learning and rapid training on dynamic datasets become crucial. In this study, a lifelong learning system based on imprint few‐shot learning and Net2Net knowledge transfer for radar signal recognition is proposed. The proposed algorithm adapts to the constant changes of the dataset, which can achieve new classes inference, few‐shot learning, and knowledge transfer. The model is trained on the dataset containing 8 types of radar signals and achieves high recognition accuracy in the test dataset containing 12 types of radar signals. The recognition accuracy of the proposed algorithm achieves 91.8% at −2 dB. In addition, Net2Net knowledge transfer can improve the training efficiency on new datasets avoiding training from scratch.
Exoplanet Atmosphere Retrievals in 3D Using Phase Curve Data with ARCiS: Application to WASP-43b
Authors: Chubb Katy L. , Min Michiel 
Published: June 2022

Aims. Our goal is to create a retrieval framework which encapsulates the three-dimensional (3D) nature of exoplanet atmospheres, and to apply it to observed emission phase curve and transmission spectra of the ‘hot Jupiter’ exoplanet WASP-43b.
Methods. We present our 3D framework, which is freely available as a stand-alone module from GitHub. We use the atmospheric modelling and Bayesian retrieval package ARCiS (ARtful modelling Code for exoplanet Science) to perform a series of eight 3D retrievals on simultaneous transmission (HST/WFC3) and phase-dependent emission (HST/WFC3 and Spitzer/IRAC) observations of WASP-43b as a case study. Via these retrieval setups, we assess how input assumptions affect our retrieval outcomes. In particular we look at constraining equilibrium chemistry vs. a free molecular retrieval, the case of no clouds vs. parametrised clouds, and using Spitzer phase data that have been reduced from two different literature sources. For the free chemistry retrievals, we retrieve abundances of H2O, CH4, CO, CO2, AlO, and NH3 as a function of phase, with many more species considered for the equilibrium chemistry retrievals.
Results. We find consistent super-solar C/O (0.6–0.9) and super-solar metallicities (1.7–2.9 dex) for all retrieval setups that assume equilibrium chemistry. We find that atmospheric heat distribution, hotspot shift (≈15.6° vs. 4.5° for the different Spitzer datasets), and temperature structure are very influenced by the choice of Spitzer emission phase data. We see some trends in molecular abundances as a function of phase, in particular for CH4 and H2O. Comparisons are made with other studies of WASP-43b, including global climate model (GCM) simulations, available in the literature.
Conclusions. The parametrised 3D setup we have developed provides a valuable tool to analyse extensive observational datasets such as spectroscopic phase curves. We conclude that further near-future observations with missions such as the James Webb Space Telescope and Ariel will greatly improve our understanding of the atmospheres of exoplanets such as WASP-43b. This is particularly evident from the effect that the current phase-dependent Spitzer emission data has on retrieved atmospheres.
GaiaData Release 3
Authors: Sartoretti P. , Marchal O. , Babusiaux C. , Jordi C. , Guerrier A. , Panuzzo P. , Katz D. , Seabroke G. M. , Thévenin F. , Cropper M. , Benson K. , Blomme R. , Haigron R. , Smith M. , Baker S. , Chemin L. , David M. , Dolding C. , Frémat Y. , Janßen K. , Jasniewicz G. , Lobel A. , Plum G. , Samaras N. , Snaith O. , Soubiran C. , Vanel O. , Zwitter T. , Brouillet N. , Caffau E. , Crifo F. , Fabre C. , Fragkoudi F. , Jean-Antoine Piccolo A. , Huckle H. E. , Lasne Y. , Leclerc N. , Mastrobuono-Battisti A. , Royer F. , Viala Y. , Zorec J. 
Published: June 2022

Context.GaiaData Release 3 (DR3) contains the first release of magnitudes estimated from the integration of Radial Velocity Spectrometer (RVS) spectra for a sample of about 32.2 million stars brighter thanGRVS ∼ 14 mag (orG ∼ 15 mag).Aims.In this paper, we describe the data used and the approach adopted to derive and validate theGRVSmagnitudes published in DR3. We also provide estimates of theGRVSpassband and associatedGRVSzero-point.Methods.We derivedGRVSphotometry from the integration of RVS spectra over the wavelength range from 846 to 870 nm. We processed these spectra following a procedure similar to that used for DR2, but incorporating several improvements that allow a better estimation ofGRVS. These improvements pertain to the stray-light background estimation, the line spread function calibration, and the detection of spectra contaminated by nearby relatively bright sources. We calibrated theGRVSzero-point every 30 h based on the reference magnitudes of constant stars from the HIPPARCOScatalogue, and used them to transform the integrated flux of the cleaned and calibrated spectra into epoch magnitudes. TheGRVSmagnitude of a star published in DR3 is the median of the epoch magnitudes for that star. We estimated theGRVSpassband by comparing the RVS spectra of 108 bright stars with their flux-calibrated spectra from external spectrophotometric libraries.Results.TheGRVSmagnitude provides information that is complementary to that obtained from theG,GBP, andGRPmagnitudes, which is useful for constraining stellar metallicity and interstellar extinction. The median precision ofGRVSmeasurements ranges from about 0.006 mag for the brighter stars (i.e. with 3.5≲GRVS≲6.5 mag) to 0.125 mag at the faint end. The derivedGRVSpassband shows that the effective transmittance of the RVS is approximately 1.23 times better than the pre-launch estimate.
Cementless Total Knee Arthroplasty Using a Highly Porous Tibial Baseplate in Morbidly Obese Patients: Minimum 5-Year Follow-Up
Authors: King Bradley A. , Miller Adam J. , Nadar Arun C. , Smith Langan S. , Yakkanti Madhusudhan R. , Harwin Steven F. , Malkani Arthur L. 
Published: June 2022

AbstractMorbidly obese patients undergoing cemented primary total knee arthroplasty (TKA) can pose a challenging problem with implant survivorship due to greater stress at the cement-bone interface. With the advent of additive manufacturing (three-dimensional printing), highly porous implants are now readily available. The purpose of this study was to review the results of primary TKA in the morbidly obese (body mass index [BMI] ≥ 40) patient using a highly porous cementless tibial baseplate. This is a retrospective study of 167 TKAs in patients with morbid obesity undergoing primary cementless TKA with a minimum 5-year follow-up. A total of 6 patients died and 14 were lost to follow-up, leaving 147 TKAs in 136 patients with a mean follow-up of 66 months (range 60–79 months). The average age was 59 years (range 36–84 years) and average BMI was 45 kg/m2 (range 39.5–63.9). Clinical results, patient-reported outcome measures, radiographs, and complications were reviewed. There were 9 failures requiring revision, including 3 for aseptic tibial loosening (2.0%), 2 for deep infection (1.4%), 2 for patellar resurfacing (1.4%), 1 for patella instability (0.7%), and 1 for extensor mechanism rupture (0.7%). Knee Society Score (KSS) improved from 48 to 90 at 2- and 5-year follow-up. KSS function score improved from 49 to 68 and 79 at 2- and 5-year follow-up, respectively. Survivorship with aseptic loosening as the endpoint was 98.0% at 5 years. Cementless TKA using a highly porous tibial baseplate in morbidly obese patients demonstrated excellent clinical results with 98% survivorship at 5 years and appears to offer durable long-term biologic fixation as an alternative to mechanical cement fixation in this challenging group of patients.