bluuebunny/crossref_metadata_2025_split huggingface dataset:
Successes and challenges of implementing teleprehabilitation for onco-surgical candidates and patients’ experience: a retrospective pilot-cohort study
Authors: Drummond Kenneth , Lambert Genevieve , Tahasildar Bhagya , Carli Francesco 
Published: April 2022

AbstractThis study documents the implementation of a multimodal teleprehabilitation program (e.g., completion rate, exercise metrics, and program successes and challenges) for cancer patients undergoing surgery. It also documents the patients’ experience of the program. This pilot-cohort study included adults scheduled for elective thoracic and abdominal cancer resection surgery, referred to the prehabilitation clinic to engage in physical activity, and received a teleprehabilitation program between August 1st, 2020, and February 28th, 2021. The technology platform provided to the patients included a tablet and a wearable device to facilitate communication and data collection. Data collected for this article were acquired through virtual physical activity monitoring in addition to patient charts. Qualitative data collected comprised of successes and challenges of implanting a teleprehabilitation program, in addition to patients’ perspectives of the program. Quantitative data collected comprised of the exercise metrics, perioperative functional outcomes, in addition to the surgical and postoperative outcomes. Ten patients (8 males and 2 females; mean age: 68.3 years, SD 11.96) diagnosed with various thoracoabdominal malignancies were included in the current descriptive study. The successes identified were related to recruitment and assessment, improvement in functional capacity, clinic scheduling and interventions, and optimal medical follow-up. The challenges identified were related to the adoption of the technologies by patients and the multidisciplinary team, the accurate acquisition of patient physical activity data, and the initial costs to acquire the new technologies. Patients were satisfied with the teleprehabilitation program (i.e., services delivered; average appreciation: 96%), and they perceived the technologies provided to be 90% user-friendly. The findings of the current study highlight important concepts in view of the current international health paradigm changes prioritizing remote interventions facilitated through digital communication technologies. It provides important insight into the clinical application of telehealth in elderly populations, notably in the context of acute preoperative cancer care. This article may provide guidance for other cancer care facilities aiming to implement teleprehabilitation programs.
Whole‐line fault analysis method for unbalanced distribution networks with inverter interfaced distributed generators
Authors: Li Yingliang , Wang Deming 
Published: April 2022

AbstractThe integration of the inverter interfaced distributed generators (IIDGs) challenges the conventional fault analysis in distribution networks. However, the existing analysis methods mainly focus on the fault occurring at the network buses and little research has been done to analyse the whole‐line faults. To extend the fault analysis methods, this paper proposed a phase domain estimation method. The new method was designed to analyse the whole‐line faults in unbalanced distribution networks, considering the control strategy and fault‐ride‐through (FRT) capability of IIDG. A canonical method was developed and a compensation method was utilised, avoiding constructing the entire bus matrix and predefining the fault boundary conditions. Moreover, the new method is robust and can be used to analyse the simultaneous faults as well. Finally, the proposed method was programmed in MATLAB and different scenarios were tested on an unbalanced network. The calculation results were examined by the simulations, which verified the effectiveness of the new method. The new method can analyse whole‐line fault in unbalanced networks with IIDGs connection, extending the current fault analysis methods and providing foundations for relay protection.
The QICK (Quantum Instrumentation Control Kit): Readout and control for qubits and detectors
Authors: Stefanazzi Leandro , Treptow Kenneth , Wilcer Neal , Stoughton Chris , Bradford Collin , Uemura Sho , Zorzetti Silvia , Montella Salvatore , Cancelo Gustavo , Sussman Sara , Houck Andrew , Saxena Shefali , Arnaldi Horacio , Agrawal Ankur , Zhang Helin , Ding Chunyang , Schuster David I. 
Published: April 2022

We introduce a Xilinx RF System-on-Chip (RFSoC)-based qubit controller (called the Quantum Instrumentation Control Kit, or QICK for short), which supports the direct synthesis of control pulses with carrier frequencies of up to 6 GHz. The QICK can control multiple qubits or other quantum devices. The QICK consists of a digital board hosting an RFSoC field-programmable gate array, custom firmware, and software and an optional companion custom-designed analog front-end board. We characterize the analog performance of the system as well as its digital latency, important for quantum error correction and feedback protocols. We benchmark the controller by performing standard characterizations of a transmon qubit. We achieve an average gate fidelity of Favg=99.93%. All of the schematics, firmware, and software are open-source.
Measurement of the stray light in the Advanced Virgo input mode cleaner cavity using an instrumented baffle
Authors: Ballester O , Blanch O , Cardiel L , Cavalli-Sforza M , Chiummo A , García C , Illa J M , Karathanasis C , Kolstein M , Martínez M , Menéndez-Vázquez A , Mir Ll M , Mundet J , Romero-Rodríguez A , Serrano D , Yamamoto H 
Published: April 2022

Abstract
A new instrumented baffle was installed in Spring 2021 at Virgo surrounding the suspended mirror in the input mode cleaner triangular cavity. It serves as a demonstrator of the technology designed to instrument the baffles in the main arms in the near future. We present, for the first time, results on the measured scattered light distribution inside the cavity as determined by the new device using data collected between May and July 2021, with Virgo in commissioning phase and operating with an input laser power in the cavity of 28.5 W. The sensitivity of the baffle is discussed and the data is compared to scattered light simulations.
Frequency-selective signal enhancement by a passive dual coil resonator for magnetic particle imaging
Authors: Pantke Dennis , Mueller Florian , Reinartz Sebastian , Philipps Jonas , Mohammadali Dadfar Seyed , Peters Maximilian , Franke Jochen , Schrank Franziska , Kiessling Fabian , Schulz Volkmar 
Published: April 2022

Abstract

Objective. Magnetic particle imaging (MPI) visualizes the spatial distribution of magnetic nanoparticles. MPI already provides excellent temporal and good spatial resolution, however, to achieve translation into clinics, further advances in the fields of sensitivity, image reconstruction and tracer performance are needed. In this work, we propose a novel concept to enhance the MPI signal and image resolution by a purely passive receive coil insert for a preclinical MPI system. Approach. The passive dual coil resonator (pDCR) provides frequency-selective signal enhancement. This is enabled by the adaptable resonance frequency of the pDCR network, which is galvanically isolated from the MPI system and composed of two coaxial solenoids connected via a capacitor. The pDCR aims to enhance frequency components related to high mixing orders, which are crucial to achieve high spatial resolution. Main Results. In this study, system matrix measurements and image acquisitions of a resolution phantom are carried out to evaluate the performance of the pDCR compared to the integrated receive unit of the preclinical MPI and a dedicated rat-sized receive coil. Frequency-selective signal increase and spatial resolution enhancement are demonstrated. Significance. Common dedicated receive coils come along with noise-matched receive networks, which makes them costly and difficult to reproduce. The presented pDCR is a purely passive coil insert that gets along without any additional receive electronics. Therefore, it is cost-efficient, easy-to-handle and adaptable to other MPI scanners and potentially other applications providing the basis for a new breed of passive MPI receiver systems.
Physical performance of adaptive axial FOV PET scanners with a sparse detector block rings or a checkerboard configuration
Authors: Karakatsanis Nicolas A , Nehmeh Mohammad H , Conti Maurizio , Bal Girish , González Antonio J , Nehmeh Sadek A 
Published: April 2022

Abstract

Objective. Using Monte-Carlo simulations, we evaluated the physical performance of a hypothetical state-of-the-art clinical PET scanner with adaptive axial field-of-view (AFOV) based on the validated GATE model of the Siemens Biograph VisionTM PET/CT scanner. Approach. Vision consists of 16 compact PET rings, each consisting of 152 mini-blocks of 5 × 5 Lutetium Oxyorthosilicate crystals (3.2 × 3.2 × 20 mm3). The Vision 25.6 cm AFOV was extended by adopting (i) a sparse mini-block ring (SBR) configuration of 49.6 cm AFOV, with all mini-block rings interleaved with 16 mm axial gaps, or (ii) a sparse mini-block checkerboard (SCB) configuration of 51.2 cm AFOV, with all mini-blocks interleaved with gaps of 16 mm (transaxial) × 16 mm (axial) width in checkerboard pattern. For sparse configurations, a ‘limited’ continuous bed motion (limited-CBM) acquisition was employed to extend AFOVs by 2.9 cm. Spatial resolution, sensitivity, image quality (IQ), NECR and scatter fraction were assessed per NEMA NU2-2012. Main Results. All IQ phantom spheres were distinguishable with all configurations. SBR and SCB percent contrast recovery (% CR) and background variability (% BV) were similar (p-value > 0.05). Compared to Vision, SBR and SCB %CRs were similar (p-values > 0.05). However, SBR and SCB %BVs were deteriorated by 30% and 26% respectively (p-values < 0.05). SBR, SCB and Vision exhibited system sensitivities of 16.6, 16.8, and 15.8 kcps MBq−1, NECRs of 311 kcps @35 kBq cc−1, 266 kcps @25.8 kBq cc−1, and 260 kcps @27.8 kBq cc−1, and scatter fractions of 31.2%, 32.4%, and 32.6%, respectively. SBR and SCB exhibited a smoother sensitivity reduction and noise enhancement rate from AFOV center to its edges. SBR and SCB attained comparable spatial resolution in all directions (p-value > 0.05), yet, up to 1.5 mm worse than Vision (p-values < 0.05). Significance. The proposed sparse configurations may offer a clinically adoptable solution for cost-effective adaptive AFOV PET with either highly-sensitive or long-AFOV acquisitions.
Efficiency improvement of an E × B Penning discharge source by enhanced cross-field transport of electrons
Authors: Kim June Young , Choi Jinyoung , Choi Jaeyoung , Hwang Y S , Chung Kyoung-Jae 
Published: April 2022

Abstract
Precise control of the particle motion in externally applied electric and magnetic fields is of great significance in the development of the E × B source to generate high-density plasma and deliver a stable ion beam current. Especially, in the E × B Penning discharge source, the heating and energy relaxation of the beam electrons is concentrated in the plasma column along the magnetic field line. Plasma researchers have thus far focused on the relevant physical phenomena of the partially magnetized plasma that arises from the gradient of the plasma properties in the E × B Penning source. Here, we point out that current methods of radially centered electron confinement do not guarantee efficient ion beam extraction, and newly introduce the improvement of the efficiency of a cylindrical E × B Penning source targeting radial extraction of ion beam. We concentrate on the method to enhance the cross-field transport of electrons toward the extraction region. The generation of a spatially asymmetric sheath structure allows the beam and energetic electrons to be transported to the extraction region via the E × B drift of the electrons. The transported electrons contribute to expansion of the electron heating and ionization regions to the extraction region by breaking of axial symmetry of the sheath, thereby increasing the temperature and density of the electrons in the extraction region as the magnetic field strength increases. The enhanced discharge efficiency defined as the ratio of the electron density to the discharge current is noticeable, recording approximately twice the improved efficiency compared to the conventional mode with symmetric sheath structure.
Low Mass Stars as Tracers of Star and Cluster Formation
Authors: Megeath S. T. , Gutermuth R. A. , Kounkel M. A. 
Published: April 2022

Abstract
We review the use of young low mass stars and protostars, or young stellar objects (YSOs), as tracers of star formation. Observations of molecular clouds at visible, infrared, radio and X-ray wavelengths can identify and characterize the YSOs populating these clouds, with the ability to detect deeply embedded objects at all evolutionary stages. Surveys with the Spitzer, Herschel, XMM-Newton and Chandra space telescopes have measured the spatial distribution of YSOs within a number of nearby (<2.5 kpc) molecular clouds, showing surface densities varying by more than three orders of magnitude. These surveys have been used to measure the spatially varying star formation rates and efficiencies within clouds, and when combined with maps of the molecular gas, have led to the discovery of star-forming relations within clouds. YSO surveys can also characterize the structures, ages, and star formation histories of embedded clusters, and they illuminate the relationship of the clusters to the networks of filaments, hubs and ridges in the molecular clouds from which they form. Measurements of the proper motions and radial velocities of YSOs trace the evolving kinematics of clusters from the deeply embedded phases through gas dispersal, providing insights into the factors that shape the formation of bound clusters. On 100 pc scales that encompass entire star-forming complexes, Gaia is mapping the young associations of stars that have dispersed their natal gas and exist alongside molecular clouds. These surveys reveal the complex structures and motions in associations, and show evidence for supernova driven expansions. Remnants of these associations have now been identified by Gaia, showing that traces of star-forming structures can persist for a few hundred million years.
A Conditional Autoencoder for Galaxy Photometric Parameter Estimation
Authors: Yin Jun E. , Eisenstein Daniel J. , Finkbeiner Douglas P. , Protopapas Pavlos 
Published: April 2022

Abstract
Astronomical photometric surveys routinely image billions of galaxies, and traditionally infer the parameters of a parametric model for each galaxy. This approach has served us well, but the computational expense of deriving a full posterior probability distribution function is a challenge for increasingly ambitious surveys. In this paper, we use deep learning methods to characterize galaxy images, training a conditional autoencoder on mock data. The autoencoder can reconstruct and denoise galaxy images via a latent space engineered to include semantically meaningful parameters, such as brightness, location, size, and shape. Our model recovers galaxy fluxes and shapes on mock data with a lower variance than the Hyper Suprime-Cam photometry pipeline, and returns reasonable answers even for inputs outside the range of its training data. When applied to data in the training range, the regression errors on all extracted parameters are nearly unbiased with a variance near the Cramr-Rao bound.
Understanding the Impact of Semi-numeric Reionization Models when Using CNNs
Authors: Zhou Yihao , La Plante Paul 
Published: April 2022

Abstract
Interpreting 21 cm measurements from current and upcoming experiments like HERA and the SKA will provide new scientific insights and exciting implications for astrophysics and cosmology regarding the Epoch of Reionization (EoR). Several recent works have proposed using machine learning methods, such as convolutions neural networks (CNNs), to analyze images of reionization generated by these experiments since they could take full advantage of the information contained in the image. Generally, these studies have used only a single semi-numeric method to generate the input 21 cm data. In this work, we investigate the extent to which training CNNs for reionization applications depends on the underlying semi-numeric models. Working in the context of predicting CMB τ from 21 cm images, we compare networks trained on similar data sets from 21cmFAST and zreion, two widely used semi-numeric reionization methods. We show that neural networks trained on input data from only one model produce poor predictions on data from the other model. Satisfactory results are only achieved when both models are included in the training data. This finding has important implications for future analyzes on observation data, and encourages the use of multiple models to produce images that capture the full complexity of the EoR.
Experimental method of Guide wave based on piezoelectric transducers under high temperature
Authors: Xue Zhaopeng , Qiu Lei , Zheng Hui , Xiong Ke 
Published: April 2022

Abstract
In recent years, the importance of Structural health monitoring (SHM) has been widely recognized. Among all the SHM methods, Guide Wave (GW) based SHM method using bonded piezoelectric transducers proves promising for its sensitivity to minor damage and minor amplitude loss in the large monitoring area. The thermal protection structure (TPS) is the most fundamental guarantee to ensure the safety of aerospace vehicles, and its structural health monitoring has great safety significance and economic value; however, it is often used in high-temperature environments. Conventional GW experimental methods fail in high-temperature environments due to the effects of high-temperature environments, so experimental methods for stable and reliable acquisition of GW signals at high temperatures need to be considered. In this paper, an experimental method for regular purchase of GW signals in a high-temperature environment, which uses a high-temperature sensor, a high-temperature resistant glue, and a high-temperature integration process, is proposed. The experimental results show that the practical method can obtain stable and reliable GW signals at 200°C, beneficial for damage monitoring in high-temperature environments.
Effect of Pre-creep Time on Creep Life of Nickel-based Single Crystal Superalloy CMSX-4
Authors: Xing Yuming , Sun Tong , Hu Xiaoan 
Published: April 2022

Abstract
The effect of overheating with different time on creep life and strain curve of CMSX-4 nickel-based single crystal superalloy was studied. The overheating tests at different temperatures and stresses were carried out. The tests results showed that the duration of the second stage of creep would be reduced when the overheating happened at the beginning of the creep test. The deformation of the alloy quickly entered the third stage of creep, which obviously reduces the creep life and total strain of the material. When the overheating occurs in the second stage of creep, the rate of strain would increase after overheating and then the total creep life decreased. When the overheating was introduced at the beginning of the creep tests, the strain accumulation during the overheating was greater than that in the second stage of creep. However, the rate of strain after the overheating at the beginning is lower than that in the second stage of creep.
Research on rapid batch test of whole star based on pulsating production line
Authors: Li Yongqiang , Dai jianfeng , Zhao Chuan , Zhang Shaopo 
Published: April 2022

Abstract
In recent years, small satellites at home and abroad have been developing rapidly, and constellation have been deeply studied and applied. In particular, a series of commercial satellites companies led by SpaceX in the United States have successfully launched a number of satellites for network formation, and the annual output of their small satellites can reach 1000 magnitude. At present, China is also in the stage of rapid development of all kinds of small satellites , and the annual production of small satellites is also increasing rapidly, in order to adapt to the characteristics of large number of small satellites, short development period and rapid launch and deployment, it is urgent to study the matching test and test technology with the characteristics of batch, rapid, intelligent and efficient. In this paper, the rapid batch test research based on pulsating production line is carried out for the development of small satellites. Based on the establishment of satellite pulsation test system, the test mode, test method and on-line standard of key subsystem are studied. The research results were successfully applied to the batch test of a certain type of satellite. In the factory test stage, multiple satellites completed the test within 347 hours and left the factory at the same time, which greatly improved the test efficiency and laid a certain foundation for comprehensively forming the capacity of parallel and rapid batch test of multiple small satellites.
Research on Embedded Detection System Based on Intelligent Pressure Transmitter
Authors: Zhang Lin-rui , Xiao Jun , Zhang Wei-wei , Zhang Xu-guang 
Published: April 2022

Abstract
A new development scheme of check equipment for recoil device is designed. In view of the existing reverse recoil device check there is a long time to prepare, data interpretation and difficult problems, the application of advanced touch technology and sensor technology, completed the embedded test system scheme based on intelligent pressure transmitter design, can quickly test reverse recoil device to check the key parameters, and be able to compare the interpretation of data in real-time, Shorten the inspection time of recoil device and improve the accuracy of test data. The simulation research of the scheme design system is carried out in the computer of LINUX system. Through the simulation, it is found that each system module can work correctly and normally, with higher generality and artificial intelligence.
Study on Improvement of Spacer Ring of an Aero-engine Considering Fit Tolerance
Authors: Wu Pei , Qian Zhengming , Lu Jin , Mi Dong 
Published: April 2022

Abstract
Aiming at the fatigue crack failure of a spacer ring of an aero-engine, the fracture analysis and finite element analysis of the spacer ring failure were carried out, the cause of the failure was accurately located, and an improvement plan was proposed for the spacer ring according to the analysis results. The equivalent stress of the spacer ring has decreased significantly, and the improved spacer ring has passed the test verification of parts and the whole engine, which proves the effectiveness of the improvement. The method used in this paper can provide a reference for the design and improvement of similar structures in aeroengines.
Design of Ionospheric TEC Gradient Anomaly Detection Platform Based on GNSS
Authors: Liu Mingyuan , Hu Tieqiao 
Published: April 2022

Abstract
Ionospheric anomalies can seriously threaten important flight phases such as approach and landing, so accurate real-time monitoring is necessary. In this paper, an ionospheric anomaly gradient detection platform is designed for satellite navigation receiver. Based on GNSS observation data, the spatial gradient of ionospheric vertical total electron content is calculated, and anomaly ionospheric gradient is detected using generalized likelihood ratio test method. To verify the correctness of detection results, rate of TEC change index is also calculated for comparison. Simulation results show that the platform can detect ionospheric anomaly gradient state fast and accurately, and the proposed approach can used by GNSS receivers to detect ionospheric anomaly.