bluuebunny/crossref_metadata_2025_split huggingface dataset:
Explainable dimensionality reduction (XDR) to unbox AI ‘black box’ models: A study of AI perspectives on the ethnic styles of village dwellings
Authors: Li Xun , Chen Dongsheng , Xu Weipan , Chen Haohui , Li Junjun , Mo Fan 
Published: January 2023

AbstractArtificial intelligence (AI) has become frequently used in data and knowledge production in diverse domain studies. Scholars began to reflect on the plausibility of AI models that learn unexplained tacit knowledge, spawning the emerging research field, eXplainable AI (XAI). However, superior XAI approaches have yet to emerge that can explain the tacit knowledge acquired by AI models into human-understandable explicit knowledge. This paper proposes a novel eXplainable Dimensionality Reduction (XDR) framework, which aims to effectively translate the high-dimensional tacit knowledge learned by AI into explicit knowledge that is understandable to domain experts. We present a case study of recognizing the ethnic styles of village dwellings in Guangdong, China, via an AI model that can recognize the building footprints from satellite imagery. We find that the patio, size, length, direction and asymmetric shape of the village dwellings are the key to distinguish Canton, Hakka, Teochew or their mixed styles. The data-derived results, including key features, proximity relationships and geographical distribution of the styles are consistent with the findings of existing field studies. Moreover, an evidence of Hakka migration was also found in our results, complementing existing knowledge in architectural and historical geography. This proposed XDR framework can assist experts in diverse fields to further expand their domain knowledge.
Electron–phonon effects and temperature-dependence of the electronic structure of monoclinic β-Ga2O3
Authors: Lee Channyung , Rock Nathan D. , Islam Ariful , Scarpulla Michael A. , Ertekin Elif 
Published: January 2023

Gallium oxide (Ga2O3) is a promising semiconductor for next-generation high-power electronics due to its ultra-wide bandgap and high critical breakdown field. To utilize its unique electrical properties for real-world applications, an accurate description of its electronic structure under device-operating conditions is required. Although the majority of first-principles models focus on the ground state, temperature effects govern the key properties of all semiconductors, including carrier mobility, band edge positions, and optical absorption in indirect gap materials. We report on the temperature-dependent electronic band structure of β-Ga2O3 in a wide temperature range from T = 0 to 900 K using first-principles simulations and optical measurements. Band edge shifts from lattice thermal expansion and phonon-induced lattice vibrations known as electron–phonon renormalization are evaluated by utilizing the quasi-harmonic approximation and the recently developed “one-shot” frozen phonon method, respectively. Electron–phonon effects and thermal expansion together induce a substantial temperature-dependence on the bandgap, reducing it by more than 0.5 eV between T = 0 and 900 K, larger than that observed in other wide bandgap materials. Key implications, including an increase in carrier concentrations, a reduction in carrier mobilities due to localization of band edge states, and an ∼20% reduction in the critical breakdown field, are discussed. Our prediction of temperature-dependent bandgap matches very well with experimental measurements and highlights the importance of accounting for such effects in first-principles simulations of wide bandgap semiconductors.
Tough and fatigue-resistant polymer networks by crack tip softening
Authors: Liu Binhong , Yin Tenghao , Zhu Jinye , Zhao Donghao , Yu Honghui , Qu Shaoxing , Yang Wei 
Published: January 2023

Soft materials fail by crack propagation under external loads. While fracture toughness of a soft material can be enhanced by orders of magnitude, its fatigue threshold remains insusceptible. In this work, we demonstrate a crack tip softening (CTS) concept to simultaneously improve the toughness and threshold of a single polymeric network. Polyacrylamide hydrogels have been selected as a model material. The polymer network is cured by two kinds of crosslinkers: a normal crosslinker and a light-degradable crosslinker. We characterize the pristine sample and light-treated sample by shear modulus, fracture toughness, fatigue threshold, and fractocohesive length. Notably, we apply light at the crack tip of a sample so that the light-sensitive crosslinkers degrade, resulting in a CTS sample with a softer and elastic crack tip. The pristine sample has a fracture toughness of 748.3 ± 15.19 J/m2and a fatigue threshold of 9.3 J/m2. By comparison, the CTS sample has a fracture toughness of 2,774.6 ± 127.14 J/m2and a fatigue threshold of 33.8 J/m2. Both fracture toughness and fatigue threshold have been enhanced by about four times. We attribute this simultaneous enhancement to stress de-concentration and elastic shielding at the crack tip. Different from the “fiber/matrix composite” concept and the “crystallization at the crack tip” concept, the CTS concept in the present work provides another option to simultaneously enhance the toughness and threshold, which improves the reliability of soft devices during applications.
Trap-loss spectroscopy of Rydberg states in ytterbium
Authors: Halter C , Miethke A , Sillus C , Hegde A , Görlitz A 
Published: January 2023

Abstract
We present an experimental study of the Rydberg

1

S
0

- and

1

P
1

- series of ytterbium for principal quantum numbers in the range of n = 70–90. The study is performed using trap loss spectroscopy in a magneto-optical trap operating on the

6
1

S
0

→

6
1

P
1

transition at 399 nm. Compared to the commonly used Rydberg spectroscopy method using field-ionization and ion detection, trap loss spectroscopy is significantly simpler and requires a less sophisticated experimental setup. Using this method we determine relative values of the scalar and tensor electric polarizabilities of both,

6
s
n

s
1

S
0

- and

6
s
n

p
1

P
1

- Rydberg states.
Magnetic skyrmion dynamics induced by surface acoustic waves
Authors: Yang Yang , Ji Yahui , Zhang Chenye , Nan Tianxiang 
Published: January 2023

Abstract
Magnetic skyrmions are promising information carriers for high-density memories. The dynamical motion of magnetic skyrmions have been extensively investigated in the development of magnetic racetracks. In this study, a surface acoustic wave (SAW) is theoretically investigated to drive skyrmions by using micromagnetic simulations. The in-plane type and out-of-plane particle displacement components of SAWs generate different magnetoelastic effective fields. The shear horizontal (SH) wave mode SAW drives skyrmions flow movement by the magnetoelastic coupling effect. Increasing the acoustic wave amplitude and magnetoelastic coupling constants, as well as a reduced wavelength, are beneficial for an enhanced skyrmion motion velocity. The skyrmion motion trajectory can be controlled by designing the geometry of magnetic films. Interestingly, in a circular magnetic film, the skyrmions driven by SH waves show clockwise or counterclockwise movement trajectories depending on the sign of topological charges. Our results provide an energy efficient approach to drive skyrmion dynamics including rotational motion, thus paving the way for low-power spintronics.
Formulation of dual functional gCN/TeO2-ZnO nanocomposites as a controlled release nanofertilizer and antibacterial agent
Authors: Singh Aishwarya , Dasauni Khushboo , KumarNailwal Tapan , Nenavathu Bhavani Prasad 
Published: January 2023

Abstract
A simple cost-effective sono-chemical method was used for the synthesis of gCN/TeO2-ZnO ternary (2%, 5%, and 10%) nanocomposites, having crystallite size of 12 nm. FE-SEM and transmission electron microscopy images revealed the formation of core–shell type nanocomposites with an average size of 50 nm. Further, E. coli MTCC 443 strain is used as a model organism to study the antibacterial activity of the prepared nanocomposites, using disc diffusion method. Among all the concentrations, 2% gCN/TeO2-ZnO showed maximum zone of inhibition of 23 ± 0.10 mm and its antibacterial activity is like third-generation antibiotic cefotaxime. In addition, the prepared nanocomposites were used as nanofertilizer for the growth of gram seeds Chickpea (Cicer arietinum). The effect of nanocomposite concentration and its sterilising properties are studied on the rate of germination of Chickpea using both in vitro and in vivo studies (pot study). The root length of the gCN/TeO2-ZnO treated plants showed increase in seed germination (3.30 cm) compared to untreated plants (3.22 cm). In addition, enhancement in the shoot length about 28% is noticed in pot studies, compared to control batch samples. The accumulation of nanomaterial in plant roots was confirmed using SEM-EDX and ICP-MS. Finally, a 14-day experiment was conducted to ascertain the role of gCN/TeO2-ZnO in the controlled release of nutrients from the synthesised nanofertilizer. Owing to its excellent water holding capacity, sterilizing properties, and low toxicity this material can be used as a growth promoter in plants.
Fluorinated graphene grating metasurface for terahertz dark state excitation
Authors: Valynets Nadzeya I , Paddubskaya Alesia G , Sysoev Vitalii I , Gorodetskiy Dmitriy V , Bulusheva Lyubov G , Okotrub Alexander V 
Published: January 2023

Abstract
We propose an original technique for the grating metasurfaces fabrication by low-power ultraviolet laser treatment of fluorinated graphene (FG) films with the focus on terahertz applications. The laser treatment reduces dielectric FG to its conductive counterparts, increasing DC conductivity to 170 S·m−1 for treated areas. The electromagnetic response of the grating metasurfaces studied by THz time-domain spectroscopy in the 100 GHz–1 THz frequency range demonstrates enhanced resonant transmittance through metasurfaces. The intensity and position of transmittance peak could be tuned by changing the metasurface geometry, i.e. the period of the structure and width of the reduced and unreduced areas. In particular, the decrease of the reduced FG area width from 400 to 170 μm leads to the shift of the resonance peak from 0.45 THz to the higher frequencies, 0.85 THz. Theoretical description based on the multipole theory supported by finite element numerical calculations confirms the excitation of the dark state in the metasurface unit cells comprising reduced and unreduced FG areas at resonance frequency determined by the structure geometrical features. Fabricated metasurfaces have been proved to be efficient narrowband polarizers being rotated by 50° about the incident THz field vector.
MIDRC CRP10 AI interface—an integrated tool for exploring, testing and visualization of AI models
Authors: Gorre Naveena , Carranza Eduardo , Fuhrman Jordan , Li Hui , Madduri Ravi K , Giger Maryellen , El Naqa Issam 
Published: January 2023

Abstract

Objective. Developing Machine Learning models (N Gorre et al 2023) for clinical applications from scratch can be a cumbersome task requiring varying levels of expertise. Seasoned developers and researchers may also often face incompatible frameworks and data preparation issues. This is further complicated in the context of diagnostic radiology and oncology applications, given the heterogenous nature of the input data and the specialized task requirements. Our goal is to provide clinicians, researchers, and early AI developers with a modular, flexible, and user-friendly software tool that can effectively meet their needs to explore, train, and test AI algorithms by allowing users to interpret their model results. This latter step involves the incorporation of interpretability and explainability methods that would allow visualizing performance as well as interpreting predictions across the different neural network layers of a deep learning algorithm. Approach. To demonstrate our proposed tool, we have developed the CRP10 AI Application Interface (CRP10AII) as part of the MIDRC consortium. CRP10AII is based on the web service Django framework in Python. CRP10AII/Django/Python in combination with another data manager tool/platform, data commons such as Gen3 can provide a comprehensive while easy to use machine/deep learning analytics tool. The tool allows to test, visualize, interpret how and why the deep learning model is performing. The major highlight of CRP10AII is its capability of visualization and interpretability of otherwise Blackbox AI algorithms. Results. CRP10AII provides many convenient features for model building and evaluation, including: (1) query and acquire data according to the specific application (e.g. classification, segmentation) from the data common platform (Gen3 here); (2) train the AI models from scratch or use pre-trained models (e.g. VGGNet, AlexNet, BERT) for transfer learning and test the model predictions, performance assessment, receiver operating characteristics curve evaluation; (3) interpret the AI model predictions using methods like SHAPLEY, LIME values; and (4) visualize the model learning through heatmaps and activation maps of individual layers of the neural network. Significance. Unexperienced users may have more time to swiftly pre-process, build/train their AI models on their own use-cases, and further visualize and explore these AI models as part of this pipeline, all in an end-to-end manner. CRP10AII will be provided as an open-source tool, and we expect to continue developing it based on users’ feedback.
Analysis modeling and experiment of bionic winding soft actuator inspired by plant tendrils
Authors: Li Jian , Luan Zhibo , Wang Yangwei , Huang Meizhen , Yan Jie , Wang Yuhan 
Published: January 2023

Abstract
As a special group of plants, vine plants can be spontaneously fixed with supports by winding or adsorbing. If the vine winding behavior is combined with a soft actuator, it is expected to improve the performance of the soft actuator in unstructured environments. Based on the pneumatic network structure, this study proposes a soft actuator with a symmetrical chamber and capable of winding or bending motion by imitating the winding motion of vine plants. Through the coupling motion of the symmetrical chamber under different or the same pressures, the winding flexibility of imitating vine plants can be better realized. Based on the minimum potential energy method and the constant curvature assumption, combined with the Yeoh model for large deformation of super elastic body, the deformation trajectory model of soft actuator in two states of unilateral winding and bending is constructed. The influence of structural design parameters of soft actuator on winding deformation is analyzed by finite element analysis. Finally, the reliability of the theoretical mathematical model is verified by experiments, the working performance of the software driver is tested, and the possible future applications are demonstrated.
Development and prototyping of SMA-metamaterial biaxial composite actuators
Authors: Mizzi Luke , Hoseini Seyedeh Farzaneh , Formighieri Marco , Spaggiari Andrea 
Published: January 2023

Abstract
Shape memory alloys (SMA) are excellent candidates for implementation in actuator systems due to their ability to recover their original shape after high-strain loading through a thermally-induced phase transition. In this work, we propose and develop a novel SMA-metamaterial actuator which is capable of exhibiting a reversible, global elongation in multiple directions induced by the unidirectional contraction upon heating of a single SMA component. This actuator consists of (a) an SMA component, (b) a bias component and (c) the metamaterial geometry, with each component having a distinct function: (a) actuation activation, (b) reversibility of actuation upon deactivation and (c) amplifying and re-directing the uni-directional SMA actuation globally throughout the actuator, respectively. A prototype actuator was designed and tested in various configurations over multiple activation/deactivation cycles in order to demonstrate the functionality and reusability of this system. Furthermore, a theoretical model which predicts the actuation stroke of the system on the basis of the material properties of the SMA and bias components as well as the geometry of the metamaterial system was developed and validated. The findings of this work demonstrate the considerable potential of SMA-metamaterial actuators for implementation in systems requiring a multi-axial actuation output.
JWST NIRCam Defocused Imaging: Photometric Stability Performance and How It Can Sense Mirror Tilts
Authors: Schlawin Everett , Beatty Thomas , Brooks Brian , Nikolov Nikolay K. , Greene Thomas P. , Espinoza Néstor , Glidic Kayli , Baka Keith , Egami Eiichi , Stansberry John , Boyer Martha , Gennaro Mario , Leisenring Jarron , Hilbert Bryan , Misselt Karl , Kelly Doug , Canipe Alicia , Beichman Charles , Correnti Matteo , Knight J. Scott , Jurling Alden , Perrin Marshall D. , Feinberg Lee D. , McElwain Michael W. , Bond Nicholas , Ciardi David , Kendrew Sarah , Rieke Marcia 
Published: January 2023

Abstract
We use JWST NIRCam short-wavelength photometry to capture a transit lightcurve of the exoplanet HAT-P-14 b to assess performance as part of instrument commissioning. The short-wavelength precision is 152 ppm per 27 s integration as measured over the full time series compared to a theoretical limit of 107 ppm, after corrections to spatially correlated 1/f noise. Persistence effects from charge trapping are well fit by an exponential function with short characteristic timescales, settling on the order of 5–15 minutes. The short-wavelength defocused photometry is also uniquely well suited to measure the real-time wave-front error of JWST. Analysis of the images and reconstructed wave-front maps indicates that two different hexagonal primary mirror segments exhibited “tilt events,” where they changed orientation rapidly in less than ∼1.4 s. In some cases, the magnitude and timing of the flux jumps caused by tilt events can be accurately predicted with a telescope model. These tilt events can be sensed by simultaneous longer-wavelength NIRCam grism spectral images alone in the form of changes to the point-spread function, diagnosed from the full width at half maximum. They can also be sensed with the fine guidance sensor instrument from difference images. Tilt events possibly from sudden releases of stress in the backplane structure behind the mirrors were expected during the commissioning period because they were found in ground-based testing. Tilt events have shown signs of decreasing in frequency but have not disappeared completely. The detectors exhibit some minor (less than 1%) deviations from linear behavior in the first few groups of each integration, potentially impacting absolute fluxes and transit depths on bright targets, where only a handful of groups are possible. Overall, the noise is within 50% of the theoretical photon noise and read noise. This bodes well for high-precision measurements of transiting exoplanets and other time variable targets.
Parametric study of Alfvénic instabilities driven by runaway electrons during the current quench in DIII-D
Authors: Lvovskiy A. , Paz-Soldan C. , Eidietis N.W. , Dal Molin A. , DeGrandchamp G.H. , Hollmann E.M. , Lestz J.B. , Liu C. , Nocente M. , Shiraki D. , Du X.D. 
Published: January 2023

Abstract
To avoid or mitigate runaway electron (RE) beams in ITER, RE-driven instabilities are actively studied as a complimentary technique to massive material injection. In this work we report experimental dependencies of Alfvénic instabilities driven by REs during the current quench in DIII-D on plasma and material injection parameters. These instabilities, observed in the frequency range of 0.1–3 MHz, correlate with increased RE loss and thus may play a role in non-sustained RE beams. It was found that as the toroidal magnetic field (

B

T

) decreases, the RE population becomes more energetic, the energy of instabilities increases, and no RE beam is observed when the maximum energy of REs exceeds 15 MeV (or when

B

T

is below 1.8 T). Analysis of disruptions at plasma core temperature (

T

e

) of 1 keV and 8 keV shows that the RE population is much less energetic (with the maximum energy of only about 3 MeV) when

T

e

is high, and no instabilities are observed in this case. Besides disruptions above caused by Ar injection, cases with Ne and D2 injections were also studied. Both Ne and D2 injections cause no sustained RE beams, however, for different reasons. Measurements of the instability polarization indicate that it is of predominantly compressional nature at the edge, which is consistent with modeling suggesting excitation of compressional Alfvén eigenmodes. However, drive of global Alfvén eigenmodes is also possible at low frequencies.
Hot spots induced by RF-accelerated electrons in the scrape-off layer on Experimental Advanced Superconducting Tokamak
Authors: Wang Y. , Hanada K. , Liu H. , Gao X. , Jie Y. , Li Y. , Li M. , Wu C. , Hu Y. , He K. , Zhang B. , Zhang L. , Zang Q. , Zhang T. , Zhou T. , Yu L. , Liang R. , Chu Y. , Xie J. 
Published: January 2023

Abstract
Preventing impurity emission from hot spots on plasma-facing materials is a critical issue in the maintenance of high-performance plasma on the Experimental Advanced Superconducting Tokamak (EAST). In this study, experimental and theoretical analyses were performed to investigate the mechanism of hot spot formation. In the upper single null magnetic configuration of the EAST, two separatrices were connected to the upper (primary) and lower (secondary) X-points. Experiments on plasma configuration control indicated that the reduction in the gap between the lower (secondary) separatrix and lower hybrid antenna is effective in preventing hot spot formation on the lower divertor, which frequently emits impurities in long-duration discharges. This effectiveness was quantitatively confirmed by magnetic field lines tracking simulation and calorimetric measurement of divertors in the experiment. Two-frequency power modulation of the lower hybrid wave (LHW) was conducted to evaluate power deposition on the scrape-off layer (SOL) during propagation from the LHW antenna to the main plasma. This experiment clarified that LHW-accelerated electrons in the SOL via collision damping deliver their energies to hot spots along the magnetic field line. These findings help alleviate or even eliminate the formation of hot spots and maintain the performance of plasma.
Research and Application of intelligent purchasing and transportation model for coal-fired power plant
Authors: Li Zihong , Chen Donglin , Yin Liguo , Yang Ningwu , Liu Wenzhe 
Published: January 2023

Abstract
At present, the decision-making method of coal purchase in most coal-fired power stations is based on the experience of blending coal and burning in thermal power units, but this method does not consider the factors of economy and transportation. In order to solve this problem, this paper proposes a method to optimize the coal purchasing scheme of coal-fired power plants based on the joint optimization decision model of coal purchasing and dispatching. First fuel characteristics of mixed coal and purchasing cost model was constructed to determine the fountainhead procurement constraints, and mixing coal prices, then dispatching model was constructed to determine the scheduling constraints and transport price, the final will buy coal cost and transportation cost summation minimum and the nature of the mixed coal constraints as a joint decision model, and USES the particle swarm optimization algorithm to solve it. The decision model is applied to a power plant for verification, and the calculation results show that the total purchasing cost of power plant is greatly reduced.