bluuebunny/crossref_metadata_2025_split huggingface dataset:
The relative influence of language backgrounds, communicative text types, and disciplines in undergraduate student
writing
Authors: Goulart Larissa , Dixon Tülay 
Published: October 2024

Abstract
Previous studies of undergraduate writing investigated linguistic variation across (i) assignment types, (ii)
disciplines, and (iii) language backgrounds. The combined findings of these studies allowed us to formulate eight hypotheses as to
how undergraduate writing is likely to vary across these three variables. Three of the hypotheses are as follows: (a) writing in
humanities will have more features of ‘academic involvement’, while writing in sciences will have more features of ‘information
density’; (b) assignments such as proposals and procedural recounts will have more features of ‘expression of possibility’; and
(c) L1 students will use more features of ‘information density’ than L2 students. In the current study, we test these hypotheses,
examining whether the language of undergraduate writing varies in accordance with the expectations from previous research. We use
the dimensions identified in Goulart (2024) to examine these hypotheses in a corpus
of undergraduate student writing. The results provide support for hypotheses related to disciplines and communicative purposes,
but not for those related to language backgrounds.
Known mechanisms that increase nuclear fusion rates in the solid state
Authors: Metzler Florian , Hunt Camden , Hagelstein Peter L , Galvanetto Nicola 
Published: October 2024

Abstract
We investigate known mechanisms for enhancing nuclear fusion rates at ambient temperatures and pressures in solid-state environments. In deuterium fusion, on which the paper is focused, an enhancement of >40 orders of magnitude would be needed to achieve observable fusion. We find that different mechanisms for fusion rate enhancement are known across the domains of atomic physics, nuclear physics, and quantum dynamics. Cascading multiple such mechanisms could lead to an overall enhancement of 40 orders of magnitude or more. We present a roadmap with examples of how hypothesis-driven research could be conducted in—and across—each domain to probe the plausibility of technologically-relevant fusion in the solid state.
Bloch classification surface for three-band systems
Authors: Abramovici G 
Published: October 2024

Abstract
Topologically protected states can be found in physical systems, that show singularities in some energy contour diagram. These singularities can be characterized by winding numbers, defined on a classification surface, which maps physical state parameters. We have found a classification surface, which applies for three-band hamiltonian systems in the same way than standard Bloch surface does for two-band ones. This generalized Bloch surface is universal in the sense that it classifies a very large class of three-band systems, which we have exhaustively studied, finding specific classification surfaces, applying for each one.
The renormalization group for large-scale structure: origin of galaxy stochasticity
Authors: Rubira Henrique , Schmidt Fabian 
Published: October 2024

Abstract
The renormalization group equations for large-scale structure (RG-LSS) describe how the bias and stochastic (noise) parameters — both of matter and biased tracers such as galaxies — evolve as a function of the cutoff Λ of the effective field theory. In previous work, we derived the RG-LSS equations for the bias parameters using the Wilson-Polchinski framework. Here, we extend these results to include stochastic contributions, corresponding to terms in the effective action that are higher order in the current J.
We derive the general local interaction terms that describe stochasticity at all orders in perturbations,
and a closed set of nonlinear RG equations for their coefficients.
These imply that
a single nonlinear bias term generates all stochastic moments through RG evolution. Further, the
evolution is controlled by a different, lower scale than the nonlinear scale. This has implications for the optimal choice of the renormalization scale when comparing the theory with data to obtain cosmological constraints.
SoftBoMI: a non-invasive wearable body-machine interface for mapping movement of shoulder to commands
Authors: Liu Rongkai , Song Quanjun , Ma Tingting , Pan Hongqing , Li Hao , Zhao Xinyan 
Published: October 2024

Abstract

Objective. Customized human-machine interfaces for controlling assistive devices are vital in improving the self-help ability of upper limb amputees and tetraplegic patients. Given that most of them possess residual shoulder mobility, using it to generate commands to operate assistive devices can serve as a complementary approach to brain–computer interfaces. Approach. We propose a hybrid body-machine interface prototype that integrates soft sensors and an inertial measurement unit. This study introduces both a rule-based data decoding method and a user intent inference-based decoding method to map human shoulder movements into continuous commands. Additionally, by incorporating prior knowledge of the user’s operational performance into a shared autonomy framework, we implement an adaptive switching command mapping approach. This approach enables seamless transitions between the two decoding methods, enhancing their adaptability across different tasks. Main results. The proposed method has been validated on individuals with cervical spinal cord injury, bilateral arm amputation, and healthy subjects through a series of center-out target reaching tasks and a virtual powered wheelchair driving task. The experimental results show that using both the soft sensors and the gyroscope exhibits the most well-rounded performance in intent inference. Additionally, the rule-based method demonstrates better dynamic performance for wheelchair operation, while the intent inference method is more accurate but has higher latency. Adaptive switching decoding methods offer the best adaptability by seamlessly transitioning between decoding methods for different tasks. Furthermore, we discussed the differences and characteristics among the various types of participants in the experiment. Significance. The proposed method has the potential to be integrated into clothing, enabling non-invasive interaction with assistive devices in daily life, and could serve as a tool for rehabilitation assessment in the future.
Preface
Authors: Cheng Li , Zhu Baoshan 
Published: October 2024

Summary of the 8th International Conference on Pumps and Fans
1. Background
To further enhance domestic and international cooperation and exchange, better understand research hotspots, stimulate scientific research vitality, and build a high-level academic exchange platform, Yangzhou University and Tsinghua University jointly hosted the 8th International Conference on Pumps and Fans (ICPF) in Yangzhou, China, from 12th to 15th April 2024. This conference traces its origins to the first International Conference on Pumps and Fans held at Tsinghua University in 1992, with subsequent conferences held at Tsinghua University in 1995, 1998, and 2002; at Zhejiang University in 2010; at Tsinghua University again in 2013; and at Zhejiang University again in 2015. Participation is encouraged from individuals involved in all facets of fluid machinery.
List of Purpose, Scope, Record, Acknowledgement, Appendix A: Committee, Scientific Committee are available in this Pdf.
Study on the uniformity of internal flow field of air knife
Authors: Chen Hui , Lai Huanxin 
Published: October 2024

Abstract
The uniformity of the flow in the air knives play a crucial role for the quality of the galvanized anti-corrosion coating. Simulations of the flow are carried out to study the uniformity. To simplify the simulations, the air knife is segmented into two parts: the ends- and the periodic-segments. The velocity, vorticity, and turbulent kinetic energy both around the air distribution plates and the outlet are analyzed. Results show that the uniformity in downstream of the air distribution plates is higher in the periodic segment than that in the ends segment. While the uniformity around the outlet is found similar in the ends- and the periodic- segments. When the opening degree of the knife lip decreasing, the uniformity increases in downstream of the air distribution plates and decreases around the outlet. In such way, the present study sheds some light for the internal flow field of the air knife, and provides technical support for the design of air knife.
The Wind Power Blade Spoiler Design and Validation Based on CFD
Authors: Yujun Qiao , Zhenya Fan , Wenming Zhou , Yongguo Feng 
Published: October 2024

Abstract
The power generation capacity of the wind turbine is derived from the aerodynamic properties of the blade, which can be characterized by the local flow state of the blade. In order to improve the aerodynamic performance of the blade and furthermore the power generation efficiency of the wind turbine, the top priority is to find the abnormal area of the local flow along the blade, and take relevant strategies to control the abnormal flow. The CFD-based blade spoiler design is carried out in both the blade root and the blade middlepiece respectively. Meanwhile, the influence of assembled spoilers on the local and whole performance of the blade is verified by the panel method and BEM method. The verification lays the foundation for further flow control optimization design.
Numerical Simulation and Artificial Neural Network Modeling of Cavitation on 2D Tandem Hydrofoils Arrangement
Authors: Gang Yin , Yiteng Zhao , Guidong Li 
Published: October 2024

Abstract
In the current research, we used a parametric approach to investigate cavitation with tandem-arranged Clark Y-11.7% hydrofoils. We simulated the tandem-arranged hydrofoil system using ANSYS FLUENT with the Zwart cavitation model combined with the Transition SST turbulence model. To substantiate the accuracy and reliability of the numerical model, computations were performed for an individual Clark Y-11.7% hydrofoil and compared to experimental results. The following parameters were studied in tandem arrangement: cavitation number(σ), horizontal direction spacing ratio between two hydrofoils(x), vertical direction spacing ratio between two hydrofoils(y), angle of attack (AOA) of the upstream hydrofoil (α
1), and angle of the downstream hydrofoil relative to the upstream hydrofoil (α
2). The lift coefficient (C
L) was used to estimate due to the acceptable error. An optimal artificial neural network (ANN) model was trained based on the five-parameter combination from numerical simulations. The model’s weights and biases were presented, providing a prediction method for hydrofoils in tandem arrangement with cavitation. A global sensitivity analysis based on the trained model is implemented, which reveals the AOA of the downstream hydrofoil (α
2), the horizontal spacing ratio (x), and the AOA of the upstream hydrofoil (α
1) have a main effect on the performance of the tandem arrangement.
Optimized design of annular ejector primary nozzle based on orthogonal test method
Authors: Liu Kang , Guan Xifeng , Fang Kaiyue , Cao Zhengqing , Zhang Xinchen , Yang Xuelong 
Published: October 2024

Abstract
Annular ejectors are widely used in aerospace and other applications, and their performance has a significant impact on the overall system. In this paper, the effects of main nozzle area ratio, contraction section angle and diffusion section angle on the performance of annular ejector are investigated by using computational fluid dynamics combined with one-factor experiments, on the basis of which the L9(33) orthogonal table is established to optimise the structure of main nozzle and to screen the main influencing factors. The results show that the flow field inside the annular ejector is extremely complex. The influence of the main nozzle area ratio on the performance of the annular ejector is very great, and the change of the area ratio will lead to the change of the position of the second excitation sequence as well as the Mach number at the outlet of the main nozzle. However, as with the results of the one-way analysis, the effect of the angle of the constriction section on the exit Mach number is negligible.
SSM-CloudNet: state space model-based cloud and cloud shadow detection network for Sentinel-2 imagery
Authors: He Lirong , Pu Pengyu , Zhang Ying , Xu Meng 
Published: October 2024

Abstract
Remote sensing images acquired by satellite sensors are inevitably obscured by clouds and cloud shadows, which obscure true ground reflectance information in those areas. Therefore, to ensure the accuracy and reliability of downstream analyses, detecting clouds and their shadows in satellite images is crucial. This paper proposes a state space model-based cloud and cloud shadow detection network for Sentinel-2 imagery, named SSM-CloudNet. This is the first time that a state space model (SSM) is applied to cloud and cloud shadow detection tasks, combining the efficient feature extraction capability of the symmetric encoder-decoder structure with the accuracy of SSM in cloud feature extraction, and providing an innovative approach to this task. Experiments demonstrate that SSM-CloudNet performs exceptionally well across multiple metrics, proving the high effectiveness of the proposed method.
Research on 3D geographic entity recognition method based on the double matching degree
Authors: Zhang Huabin , Liao Shunhua , Bai Haoyuan , Yang Xincheng 
Published: October 2024

Abstract
In the process of real-view 3D construction, the description of the same geospatial object by multiple departments is not the same, and how to link the city’s multi-source datasets to the same entity and construct the mapping relationship between multi-source data has become the current difficulty of multi-source data convergence. A double-matching degree entity recognition method was proposed in this paper for the problem of unified geographic entities in data convergence. Firstly, the address information is extracted from the original address data according to the address elements, and the hierarchical address tree is established by using the organization of a dictionary tree for hierarchical matching. The BERT model and twin neural network are introduced to divide the address information on the remaining paths at the byte and word level to calculate the similarity of address information. Then, the similarity of entity names is calculated by the method based on editing distance, and by combining the string-based method and the neural network-based method with each other, the hierarchical step-by-step matching is performed to narrow the matching space, determine the matching entities, and establish the entity links. Experiments on the self-built dataset show that this method has performed better in entity recognition compared to other methods.
Analysis of evolutionary paths and application scenarios of InSAR in geohazard research
Authors: Zhang Jiarui , Geng Wei , Dai Xiaomin , Song Liang 
Published: October 2024

AbstractWith the deterioration of the world environment and intense human activities, geohazards show a frequent occurrence, and InSAR, with its all-weather, all-day, and penetrating nature, rapidly develops into an essential means of earth monitoring. In this paper, using Citespace knowledge graph analysis software, we combed the CNKI core database from 2004 to 2023 and the literature about InSAR in geohazards. The evolution path was analyzed through the spatiotemporal evolution mapping and keyword co-occurrence network parsing, and the research trends and hotspots were predicted. The research results show that firstly, the application of InSAR in geohazards has experienced three classic stages: emerging development, early identification, and synergistic monitoring; secondly, the research topics were clustered into three main spatial and temporal evolution paths, which were “geohazard,” “phase disentanglement”, and “genetic algorithm”; thirdly, future perspectives of InSAR-based technology for geohazard monitoring mainly include as “efficient and intelligent monitoring” and “digital multidimensional monitoring”.
Research on AIS algorithm based on factor graph inference in Doppler localization
Authors: Chen Wantong , Xu Jiale , Liu Ruihua , Sun Shuguang 
Published: October 2024

Abstract
In this paper, an adaptive incremental smoothing (AIS) algorithm based on factor graph inference is proposed to solve the problem of improving the Doppler positioning accuracy of low-Earth orbit communication satellites. Traditional methods such as iterative least squares (ILS) algorithm and Extended Kalman filter (EKF) have certain limitations in real-time Doppler localization. The AIS algorithm uses factor graph inference to identify interference factors, and adopts adaptive smoothing to reduce the impact of estimation errors and promote adaptive noise estimation. The ground station Starlink satellite constellation static positioning was taken as an example, and the simulation was carried out on the STK software simulation platform to verify the feasibility and effectiveness of the algorithm. The experimental results show that the positioning accuracy of the AIS algorithm based on factor graph inference is significantly improved compared with the ILS and EKF algorithms in real-time Doppler positioning solutions. The aim of this research is to improve the positioning accuracy of low-orbit satellites and provide a reference for practical applications.
Current Progress of EUV Spectral Responsivity Calibration for EUV Lithography at CMS/ITRI
Authors: Chuang Yi-Chen , Chen Cheng-Hsien 
Published: October 2024

Abstract
To support the development of advanced EUV lithography for the semiconductor industry in Taiwan, a calibration system for photodiodes’ spectral responsivity was established. The current system utilizes the synchrotron radiation light source and the method is traceable to PTB, Germany. The wavelength range is from 10 nm to 15 nm, including the most often used 13.5 nm. Several techniques were studied to compensate for light source fluctuation and to reduce the measurement uncertainty. The relative expanded uncertainty of the spectral responsivity calibration at 13.5 nm is 4.6 % (k=2). A wafer-type EUV radiant power meter designed to be used in EUV lithography chambers is being developed. Our goal is to develop simple and reliable methods for on-site EUV optical power measurement and dose estimation.
A Portable Broadband Radiance Source for Ground Validation Sites
Authors: Li L , Sun R , Wang Y , Wu Z , Dai C 
Published: October 2024

Abstract
A portable broadband radiance source based on COB-LED has been developed. It was designed to calibrate array spectroradiometers for Ground Validation Sites. The spectral distribution of COB-LED chip was more similar with solar radiance than traditional calibration light source in the wavelength range between 380 nm and 780 nm. The spectral radiance stability of the light source measured under laboratory condition was within 0.1%/h by developing the temperature control system and high-precision portable power supply. The COB-LED-based source was calibrated by Spectral Irradiance Secondary Standard at NIM.
New Mie Scattering Diffuse Targets Development and Characterization
Authors: Georgiev Georgi , McCorkel Joel , Barsi Julia , Patel Jessica , Gao Guangjun , Georgieva Elena 
Published: October 2024

Abstract
Earth science remote sensing observations require the detection and measurement of light originating from bright targets, such as clouds, and darker targets, such as an open ocean. This requirement drives the need to design, develop, and characterize improved calibration targets in support of current and future NASA instruments. New diffuse targets to be used as spectral albedo calibration standards were developed and characterized. The new targets based on fused silica or/and pressed and sintered Polytetrafluoroethylene (PTFE) were developed to be Earth scene specific. The various reflectance levels are achieved by modifying the material parameters, thickness, and surface finish. The new targets were characterized in cleanroom environment. We acquired high accuracy reflectance and transmittance data using a precision optical scatterometer and spectrophotometer located in the NASA Goddard Space Flight Center (GSFC) Diffuser Calibration Lab. The Total hemispherical reflectance (THR) and Bidirectional Reflectance Distribution Function (BRDF) were measured over the range of solar incident and scattered elevation and azimuthal angles typically realized on orbit by remote sensing instruments. We intend to space certify the new calibration targets after concluding on-orbit testing on the International Space Stations (ISS) scheduled for the second half of 2023.
Using the MSL goniospectrophotometer to measure the bidirectional transmittance distribution function
Authors: Molloy E , Koo A 
Published: October 2024

Abstract
Measurements of the bidirectional transmittance distribution function (BTDF) are of interest to a wide range of industries, including satellite calibration, computer graphics, and lighting design. The scale of BTDF is realised at various national metrology institutes using goniospectrophotometers. This paper describes the measurement model for BTDF using the MSL goniospectrophotometer, which uses rotation stages to adjust the angle of the sample. The measurement model is applied to measurements of two different sample types as an example of the performance of the instrument.
Design and development of a portable tuneable radiation source from UV to IR for in situ calibration of radiometers measuring atmospheric aerosol properties.
Authors: Smid M , Porrovecchio G , Burnitt T , Tesar J , Linduska P 
Published: October 2024

Abstract
We present the results of development of a portable tuneable radiation source (TuPS II) covering the broad spectral range from 300 nm up to 1700 nm. It was developed to provide SI-traceable in-situ calibration of bandpass functions of radiometers measuring both sky radiance and sky irradiance in the surface-based remote sensing networks for column integrated atmospheric aerosol properties. The TuPS II provides quasi-monochromatic radiation with spectral bandwidth smaller than 0.2 nm and central wavelength uncertainty lower than 0.05 nm for a specified number of aerosol wavelength bands ranging from to 300 nm to 1700 nm. In its design it represents an evolution with extended spectral capabilities of the TuPS (Smid, M. et al., 2021) that was successfully used to characterize Dobson spectrophotometers in the UV spectral range.
Study on welding process of stainless steel/superalloy dissimilar materials
Authors: Liu Xin , Li Zhuoliang , Yu Xianglin , Zhang Quanhou , Wang Jibing , Guan Changjiang , Wang Jun 
Published: October 2024

Abstract
In this study, dissimilar materials of 321 stainless steel, S-03 stainless steel, and GH3030 superalloy were selected and the argon tungsten-arc welding method was used to explore the welding parameters. The microstructure and properties of three materials after welding were studied. The main mechanism of welding cracks was analyzed by optical microscope and scanning electron microscope. Reasonable welding parameters were established and the dissimilar welding process was realized. The experimental results show that the cracks produced by welding of the three materials are typical welding hot cracks. The crack source originated from the bottom layer and extended to the surface of the welded joint. The main reason for cracking is the formation of low melting point compounds by the segregation of S and Ti elements during the process of self-melting. The welding process of the dissimilar materials can be realized by multi-pass filling welding. Increasing welding speed and reducing heat input are effective ways to improve weld mechanical properties of the welded joint.