bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real-time adaptive deviation assessment and synchronized Compensation in driving phase alternation scenario
Authors: Dai Mian , Zhang Guoyu , Zhao Shuai , Zhao Pengchao 
Published: September 2022

Abstract
The real-time synchronized compensation based on adaptive deviation evaluation is proposed as a solution to driving phase alternation scenarios, especially in departure and brake to stop period. It provides a protected control logic to ADAS (Advanced Driving Assist System) or an autonomous driving system equipped vehicle with radar sensors and DGPS (Differential Global Position System) device of non-uniform sampling rate and data quality. It is expected to avoid error computation of movement in time series such as turning angle and velocity. The comprehensive test cases of 350 driving phases in proving ground are designed for effectiveness evaluation of the synchronization correction. The result shows the method could detect and overcome the crucial imprecise signal calculation with coverage ratio of 90.2% and 78.4% in start and stopping deviation scenario so as to enhance the automatic driving function performance.
Secure data transmission between self-driving cars and cloud services through AIngle, a novel semantic distributed-ledger technology
Authors: Zhang Zhexiong , Tijerino Yuri 
Published: September 2022

Abstract
The realization of fully autonomous vehicles in great scale is already in sight. However, to be safe and reliable, autonomous driving requires a significant amount of communication with cloud services, which are prone to many kinds of failures and malicious attacks. This paper introduces the use of AIngle, a novel distributed-ledger technology developed to guarantee real-time encrypted communication among IoT devices. Not only AIngle tackles various kinds of malicious attacks by design, such as Sybil attacks, but it also enables semantic distributed applications (Sem D Apps). Sem D Apps decentralize supporting driving services, such as traffic and route mapping, which are typically centralized in cloud services. AIngle provides a new paradigm for Sem D Apps, that will support future-proofed, fast, reliable, intelligent distributed applications for the autonomous vehicle industry.
Research on motion distortion optimization algorithm of laser SLAM
Authors: Wu HongWei , Zhu Liucun , Cheng Jingdi , Deng Haofeng , Chen Mingyou , Dong Lutong 
Published: September 2022

Abstract
Aiming at the problems of inaccurate laser point cloud matching, large reference pose error and insufficient utilization of sensor observation data during 2D laser SLAM positioning and mapping, which lead to the motion distortion of lidar, a piecewise linear interpolation based method is proposed. Fusion of radar motion distortion optimization strategy and PL-ICP algorithm. The optimization algorithm first uses the piecewise linear interpolation method to fuse the data of the wheel odometer and the lidar, solve the robot pose corresponding to each laser point in the current frame of laser data, then convert all the laser points to the same coordinate system according to the solved pose, and finally the laser data scan matching is performed by the PL-ICP algorithm. In the experiment, the ICP and PL-ICP algorithms were compared for the radar data, and the SLAM algorithm equipped with the motion distortion optimization module was used for localization and mapping. The experimental results show that the motion distortion optimization algorithm effectively removes the motion distortion of low-precision lidar and improves the accuracy of mobile robot positioning and mapping.
Research on navigation and control method for inspection robot in smart substation
Authors: Wang Lei , Yuan LuHai , Zhang Xin 
Published: September 2022

Abstract
For the line-tracking robot navigation system used in smart substation now, combined with the camera monitoring system installed in substations, the method of inspection robot navigation based on wireless sensor network and the control of the robot under this navigation system are studied, which can improve the robot's mobility, coordination and the ability to quickly adapt to dynamic changes in the environment, enabling the robot to complete its tasks excellently.
Map-based registration of multi-LiDAR infrastructure sensor setups for real-time applications
Authors: Kloeker Amarin , Kloeker Laurent , Baumanns Tim , Eckstein Lutz 
Published: September 2022

Abstract
The use of infrastructure sensors has proven to be an effective method for recording large traffic datasets. In order to achieve a high data quality for such datasets, an accurate extrinsic calibration of the sensors is essential. While previous approaches are not fast enough or do not fit the use-case of infrastructure sensing, we present a method that is capable of registering LiDAR sensors to a digital map in real-time. We use a mobile infrastructure sensor setup consisting of two measurement units, which we position at different locations with real road traffic. Each measurement unit is equipped with two LiDARs at a mounting height of eight meters. Experiments have shown that our method can perform continuous registration of up to four 128-layer LiDARs. With a voxel size of 0.05 meters used, our method achieves a root-mean-square error (RMSE) of 0.13 meters at an average processing time of 0.05 seconds per frame.
Sentiment analysis based on CNN - LSTM hotel reviews
Authors: Yao Lisha 
Published: September 2022

Abstract
In order to obtain the implied semantic information of hotel reviews for emotional analysis, the correlation between discontinuous words is ignored in the traditional convolutional neural network (CNN) emotional analysis. Therefore, a novel sentiment analysis method based on CNN - LSTM model is proposed. In this method, CNN is used to extract semantic features from hotel review texts, and LSTM is used to add sentence structure features to enhance deep semantic learning. This model improves the accuracy and F1 value on the CHN senticorp-HTOL-BA-6000 hotel review data set, and can better solve the task of text sentiment analysis and discover the emotional orientation of text information.
Research on signal control method of deep reinforcement learning based on value distribution
Authors: Li Jianming , Chen Ting , Zhou Fengming , Lv Xiaolei , Peng Feng 
Published: September 2022

Abstract
In the traditional DQN (Deep Q network)-based signalized intersection control strategy, this research introduces an improved Distributional DQN to establish signal optimization decision-making model utilizing reinforcement learning based on value distribution. Different from the DQN model based on expected values, proposed model makes full use of the intersection environment information in each phase action for the distribution of the future total return. At the same time, proposed model constructs an optimization through minimizing the KL divergence between the estimated distribution and the true distribution, which makes it easier minimize the loss and accelerate the convergence speed of the model. In addition, a fixed boundary is reasonably added to the discrete distribution of the reward of the phase action, which effectively suppresses the traffic flow. The reward shock caused by large randomness reduces the instability of the algorithm. The simulation results demonstrate that the Distributional DQN proposed in this paper has a faster convergence rate than the original DQN, and the cumulative delay at the intersection is reduced by about 13.1%, and the average driving speed is increased by 7.1%, which further improves the control efficiency of signalized intersections.
Enhanced superconductivity with interlayer spacing dependent T
c in intercalated Weyl semimetal MoTe2
Authors: Zhang Haoxiong , Rousuli Awabaikeli , Zhang Kenan , Zhong Haoyuan , Wu Yang , Yu Pu , Zhou Shuyun 
Published: September 2022

Abstract
Manipulating the strength of the interlayer coupling is an effective strategy to induce intriguing properties in layered materials. Recently, enhanced superconductivity has been reported in Weyl semimetal MoTe2 and WTe2 via ionic liquid (IL) cation intercalation. However, how the superconductivity enhancement depends on the interlayer interaction still remains elusive. Here by inserting IL cations with different sizes into MoTe2 through this strategy, we are able to tune the interlayer spacing of the intercalated MoTe2 samples and reveal the dependence of superconducting transition temperature T
c on the interlayer spacing. Our results show that T
c increases with the interlayer spacing, suggesting that the weakened interlayer coupling plays an important role in the superconductivity. Interestingly, the intercalation induced superconductivity shows a high Ginzburg–Landau anisotropy, which suggests a quasi-two-dimensional nature of the superconductivity where the adjacent superconducting layers are coupled through Josephson tunnelling.
Preparation and investigations of PEG-AT-PEG organic nano-polymer photothermal material
Authors: Chen Haibo , He Xingli , Yang Xiaolong , Li Peng , Wu Weibing 
Published: September 2022

Abstract
Conjugated polymer (CPs) has good near infrared (NIR) absorption and high photothermal conversion effect, which is one of the most promising photothermal therapy (PTT) drugs for cancer therapy. Through the combination of hydrophobic conjugate component of aniline trimer (AT) and hydrophilic component of aldehyde polyethylene glycol (PEG-CHO), linear polymer (PEG-AT-PEG) is synthesized via Schiff base reaction. Self-assembly nanoparticles simply precipitated out by dropping the tetrahydrofuran solution of PEG-AT-PEG into deionized water under ultrasonic dispersion. Owing to the rigid hydrophobic conjugated structure in the middle and the hydrophilic long chain structure at both ends, the long chain material can undergo hydrophobic association and π–π stacking in deionized water to form spherical organic nanoparticle. Such self-assembly nanoparticles have strong NIR absorption at 700 ∼ 800 nm, and can significantly increase the temperature in a short time upon continuous 808 nm laser irradiation, showing good photothermal conversion efficiency. The nanoparticles of PEG-AT-PEG show good biocompatibility to Hela cells at low concentration, when exposed to laser light, the destruction of Hela tumor cells was very distinct in the concentration range of 200 to 800 ug ml−1. Synthetic strategy based on CPs will be possible to develop more effective nanomaterials for treating cancer or tumors.
Effect of single-pass friction stir processing parameters on the microstructure and properties of 2 mm thick AA2524
Authors: He Jiangmei , Hu Yijie , Sun Youping , Li Wangzhen , Luo Guojian 
Published: September 2022

Abstract
Friction stir processing (FSP) is an important method for obtaining fine grains. To determine the effects of FSP and processing parameters on the microstructure and mechanical properties of rolled sheets, we performed single-pass FSP of a 2 mm thick 2524 aluminium alloy (AA2524) rolled sheet by comparing the combination of different processing parameters. The results show that lamellar grains (rolled state) are replaced by fine dynamic recrystallisation in the stir zone (SZ), and more Al2CuMg phases are precipitated simultaneously. As the rotation speed increases, the grain size and width of the pin stir zone (PSZ) increase, the microhardness first decreases and then increases; with the traverse speed increase, the grain size first decreases and then increases, and the width of the PSZ and microhardness decrease. The SZ has the smallest grain size, highest high-angle grain boundaries (HAGBs, with misorientation angles (θ) >15°) ratio, and largest ultimate tensile strength (UTS), when the rotation and traverse speed were 1000 r·min−1 and 125 mm·min−1, are 1.59 ± 0.82 μm, 0.91 and 451.23 ± 0.52 MPa, respectively, and the elongation to fracture is 13%. The UTS and elongation were only 95.12% and 98.48% of those of the base metals (BM), respectively, because of the significant decrease in the dislocation density. Fracture analysis revealed ductile fracture of the joint due to the large number of dimples and fine second-phase particles.
Effect of laser powers on the mechanical properties 27SiMn steel with Inconel 718 cladding coatings
Authors: Shu Linsen , Heng Zhao , Li Peiyou , Wu Han , Li Jiahao , Feng Junjun 
Published: September 2022

Abstract
In order to know the influence of laser power on the steel (27SiMn) used for repairing the column with Inconel 718 powder materials, and to obtain the optimal laser power parameters with the best mechanical properties of cladding layer, the microstructure, tensile properties and fracture morphology of the Inconel 718 alloy under three laser powers (1800 W, 2100 W and 2400 W) were investigated by using the single-factor variable method, keeping the scanning speed, powder feeding amount and spot diameter unchanged. The results show that with increase of laser power the mechanical properties of the Inconel 718 alloy coating prepared on the surface for the column steel gradually decreased, and the mechanical properties were the best when the laser power is 1800 W. The yield strength of Inconel 718 alloy coating prepared at 1800 W was 61.7% higher than that of the substrate, and its value is 970 MPa. The elongation is reduced by 50% compared with the substrate, and its value is 7%. The microstructure of 27SiMn steel with cladding coating is (Ni, Fe, Cr) phase and Ni3Fe phase, and the microstructure of the coating is mainly composed of uniform cellular crystals. This study provides a valuable reference for the additive manufacturing of industrial materials of 27SiMn steel with laser-cladding coating.
From counterportation to local wormholes
Authors: Salih Hatim 
Published: September 2022

Abstract
We propose an experimental realisation of the protocol for the counterfactual disembodied transport of an unknown qubit—or what we call counterportation—where sender and receiver, remarkably, exchange no particles. We employ cavity quantum electrodynamics, estimating resources for beating the classical fidelity limit—except, unlike teleportation, no pre-shared entanglement nor classical communication are required. Our approach is multiple orders of magnitude more efficient in terms of physical resources than previously proposed implementation, paving the way for a demonstration using existing imperfect devices. Surprisingly, while such communication is intuitively explained in terms of ‘interaction-free’ measurement and the Zeno effect, we show that neither is necessary, with far-reaching implications in support of an underlying physical reality. We go on to characterise an explanatory framework for counterportation starting from constructor theory: local wormholes. Conversely, a counterportation experiment demonstrating the traversability of space, by means of what is essentially a two-qubit exchange-free quantum computer, can point to the existence in the lab of such traversable wormholes.
Assessment of future possible maximum flooding extent in the midwestern coastal region of Taiwan resulting from sea-level rise and land subsidence
Authors: Hsiao Shih-Chun , Fu Huei-Shuin , Chen Wei-Bo , Chang Tzu-Ying , Wu Han-Lun , Liang Ting-Yu 
Published: September 2022

Abstract
While land subsidence (LS) caused by groundwater overuse is a significant contributor to inundation in coastal areas, rising sea levels remain the critical factor affecting coastal flooding globally. In this work, we projected potential inundation areas on the midwestern coast of Taiwan in 2100 using a high-resolution numerical model with light detection and ranging (LiDAR)-based digital elevation data. Two simulation approaches, namely, constant spring tide (CST) and dynamic astronomical tide (DAT) approaches, were employed to pair various sea-level rise (SLR) magnitudes from the 6th Assessment Report of IPCC with LS magnitudes reported by the Water Resource Agency of Taiwan. The CST method always projected larger maximum inundation areas (MIAs) than the DAT method. However, the discrepancies in the MIA projections between the CST and DAT methods showed exponential decay as the SLR magnitude increased. Through 1320 scenario simulations, the projected worst-case median MIAs derived using the CST and DAT methods were approximately 1100 and 1000 km2 in the year 2100, respectively, and the synergistic effect of SLR and LS significantly exacerbated the coastal inundation. This study indicates that the DAT approach is more realistic than the CST approach for modelling actual tidal variations and is suitable for assessing coastal inundation due to rising sea levels and subsiding lands worldwide.
Study of a calibration system for soil respiration measurement chambers
Authors: Jiang Junjie , Yin Wenjie , Hu Junguo , Hu Yulin 
Published: September 2022

Abstract

Purpose. Soil respiration measurement is an important component of the global carbon cycle assessment. To effectively validate the measurement performance of the monitoring instruments and provide accurate carbon flux data, a new flux-monitoring gas-chamber calibration system was investigated. Method. In an environmentally controlled laboratory, a concentration calculation calibration system, mass calculation calibration system, and flow calculation calibration system were used to quantify soil CO2 emissions. The measurement performance of the soil-respiration monitoring gas chamber was investigated, and the strengths and weaknesses of each calibration system were examined. Results. The unsteady-state flow chamber and steady-state chamber measurements had fewer errors and provided better results than the unsteady-state nonflow chamber. The measured values of the closed chamber were low, whereas the measured values of the open chamber were occasionally high and low. For calibration systems, the concentration calculation system is easy to operate; however, the reference flux values are unstable, and the mass calculation system allows for different gas transport mechanisms. However, it is complex to operate and it is difficult to control the air pressure in the diffusion chamber. The calibration process of the flow calculation system was stable and easy to operate; however, the experimental time was long, and the CO2 gas consumption was high. However, for the calibration effect, the optimal calibration system was the flow-meter algorithm. Conclusion. This study proposes a better calibration method for the soil CO2 flux gas chamber, which is conducive to improving the measurement accuracy of the instrument, and provides new ideas for the calibration of other environmental gas monitoring instruments.
Simultaneous two-step phase-shifting lateral shearing interferometry for aspherical surface based on an orthogonal shear displacer
Authors: Zhu Yahui , Tian Ailing , Wang Hongjun , Liu Bingcai , Zhu Xueliang , Yuan Hang 
Published: September 2022

Abstract
A novel simultaneous two-step phase-shifting lateral shearing interferometry for aspherical surface based on an orthogonal shear displacer (OSD) is proposed, it is an effective technological measure of aspherical surface measurement, to effectively solve the non-uniformity of light intensity and limited transmission order caused by the beam displacer device. The OSD system is formed by the adoption of two-crystal polarization parallel beam displacers (PBDs), which makes it achieve the orthogonal shearing in the x- and y-directions simultaneously. A quarter-wave plate (QWP) is used to generate the desired phase-shifting, and four beam lateral shearing interference waves are simply generated in OSD orthogonal directions without any bulky and complicated optical components. The phase maps of the aspherical surface can be instantly obtained using the spatial phase-shifting technique with a polarization pixelated mask (or called micro-polarization array: MPA) integrated into CCD. In this study, the proposed method was theoretically described and simulation results were analyzed. The simultaneous two-step phase-shifting lateral shearing interference fringes can be extracted in real-time with the MPA. The experiment results compared with the ZYGO interferometer were performed, and proved that the measurement error is not more than 2%. This interferometry has made it possible to improve the stability and feasibility of aspherical surface testing experiments.
How Foreign Language Enjoyment Acts as a Buoy for Sagging Motivation: A Longitudinal Investigation
Authors: Dewaele Jean-Marc , Saito Kazuya , Halimi Florentina 
Published: September 2022

AbstractThe current study contributes to the recent debate on the question whether learner emotions can be intrinsically motivating or whether they are no more than diffuse action tendencies (Dörnyei 2020). Adopting a longitudinal approach, we combined repeated analysis of variances and mixed effects modelling to capture interactions between Foreign Language Enjoyment (FLE) and its three dimensions, Foreign Language Classroom Anxiety (FLCA), and Attitudes/Motivation (AM) and its four dimensions over the course of one semester. Participants were 360 foreign language learners of English, German, French, and Spanish in a Kuwaiti university. FLE (and the dimensions FLE Personal and FLE Social) and FLCA remained stable over time but FLE Teacher decreased significantly. Levels of AM also decreased significantly, more specifically, the dimensions Motivation and Attitudes toward the Learning Situation. Mixed effects modelling analyses revealed that FLE (including FLE Personal and FLE Social) and FLCA had medium effects on the AM dimensions. Significant interaction effects were found for FLE Teacher and Time for the AM dimensions. We argue that high FLE can act as a buoy for sagging motivation and thus become intrinsically motivating.
miRspongeR 2.0: an enhanced R package for exploring miRNA sponge regulation
Authors: Zhang Junpeng , Liu Lin , Zhang Wu , Li Xiaomei , Zhao Chunwen , Li Sijing , Li Jiuyong , Le Thuc Duy 
Published: September 2022

Abstract

Summary
MicroRNA (miRNA) sponges influence the capability of miRNA-mediated gene silencing by competing for shared miRNA response elements and play significant roles in many physiological and pathological processes. It has been proved that computational or dry-lab approaches are useful to guide wet-lab experiments for uncovering miRNA sponge regulation. However, all of the existing tools only allow the analysis of miRNA sponge regulation regarding a group of samples, rather than the miRNA sponge regulation unique to individual samples. Furthermore, most existing tools do not allow parallel computing for the fast identification of miRNA sponge regulation. Here, we present an enhanced version of our R/Bioconductor package, miRspongeR 2.0. Compared with the original version introduced in 2019, this package extends the resolution of miRNA sponge regulation from the multi-sample level to the single-sample level. Moreover, it supports the identification of miRNA sponge networks using parallel computing, and the construction of sample–sample correlation networks. It also provides more computational methods to infer miRNA sponge regulation and expands the ground truth for validation. With these new features, we anticipate that miRspongeR 2.0 will further accelerate the research on miRNA sponges with higher resolution and more utilities.

Availability and implementation
http://bioconductor.org/packages/miRspongeR/.

Supplementary information
Supplementary data are available at Bioinformatics Advances online.