bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relative clause processing in L1 and L2 English
Authors: Witzel Jeffrey , Witzel Naoko 
Published: August 2021

Abstract
This study investigates the locus of processing difficulty in English object-extracted relative clauses during
both native and non-native sentence comprehension. Two L-maze experiments were conducted – one with English native speakers
(n = 48) and another with highly proficient Chinese learners of English (n = 20) – to
compare the processing of object-extracted relative clauses (ORCs) with that of subject-extracted relative clauses (SRCs). Both
participants groups revealed clear processing costs for ORC sentences. In both cases, this processing difficulty was localized at
the beginning of the ORC, and specifically at the article that introduced the ORC subject (The soldier who
the sailor roughly pushed….). These findings are taken to indicate that structural
expectations play a central role in the first- and second-language processing of English relative clauses and of complex sentences
more generally.
Basilepta subcostata
. [Distribution map].
Authors: CABI  , EPPO  
Published: August 2021

Abstract

A new distribution map is provided for
Basilepta subcostata
(Jacoby), Coleoptera: Chrysomelidae. Hosts: banana and other
Musa
spp. Information is given on the geographical distribution in Asia (Bangladesh, Cambodia, India, Assam, Bihar, Delhi, Karnataka, Manipur, Meghalaya, Odisha, Sikkim, Uttar Pradesh, Uttarakhand, West Bengal, Laos, Myanmar, Nepal, Thailand).
Empoasca onukii
. [Distribution map].
Authors: CABI  , EPPO  
Published: August 2021

Abstract

A new distribution map is provided for
Empoasca onukii
Matsuda. Hemiptera: Cicadellidae. Host: tea (
Camellia sinensis
). Information is given on the geographical distribution in Asia (China, Anhui, Chongqing, Fujian, Guangxi, Guizhou, Hainan, Henan, Hubei, Hunan, Jiangsu, Jiangxi, Shaanxi, Shandong, Sichuan, Zhejiang, Japan, Taiwan, Thailand).
Parabemisia myricae
. [Distribution map].
Authors: CABI  , EPPO  
Published: August 2021

Abstract

A new distribution map is provided for
Parabemisia myricae
(Kuwana). Hemiptera: Aleyrodidae. Hosts: polyphagous. Information is given on the geographical distribution in Africa (Algeria, Côte d'Ivoire, Egypt, Morocco, Tunisia), Asia (China, Guangxi, Hong Kong, India, Karnataka, Iran, Israel, Japan, Honshu, Shikoku, Lebanon, Malaysia, Peninsular Malaysia, Sarawak, Sri Lanka, Taiwan, Turkey, Vietnam), Europe, (Croatia, Cyprus, France, Corsica, Greece, Crete, Italy, Sardinia, Sicily, Portugal, Spain, Canary Islands), North AMerica (Dominica, Guadeloupe, Honduras, Mexcio, Trinidad and Tobago, United States, California, Florida, Hawaii), Oceania (Papua New Guinea), South America (Brazil, Mato Grosso do Sul, Colombia, Ecuador, French Guiana, Venezuela).
Radioactive hot-spot localisation and identification using deep learning
Authors: Mendes Filipe , Barros Miguel , Vale Alberto , Gonçalves Bruno 
Published: August 2021

Abstract
The detection of radioactive hot-spots and the identification of the radionuclides present have been a challenge for the security sector, especially in situations involving chemical, biological, radiological, nuclear and explosive threats, as well as naturally occurring radioactive materials. This work proposes a solution based on Machine Learning techniques, with a focus on artificial neural networks (NNs), in order to localise, quantify and identify radioactive sources. Firstly, the created RHLnet model uses observations of radiological intensity counts and corresponding localisations to estimate the number, location and activity of unknown radioactive sources present in a given scenario. Then, another model (RHIdnet) gets the gamma spectrum of the sources to perform the identification of the corresponding radionuclides. For this, a training data set composed of simulated data is used during the training process, and so, using algorithms with the models already trained, fast and accurate predictions are achieved, ensuring the reliability of such a NN-based approach. The proposed solution is tested in simulated and real scenarios, with multiple sources, providing a low number of limitations, related to possible false negatives and false positives. Besides, the results have shown that the algorithm is scalable for very large regions, as well as for very small scenarios. Single and multiple isotope identification on each sample is explored, highlighting the benefits as well as possible improvements. Thus, NNs have demonstrated the capability of being an emerging tool with the potential to make a difference in the nuclear field, by helping in the development of novel techniques and new solutions in order to safeguard human lives.
Local equilibrium of particle density in planar Lorentz processes
Authors: Nándori Péter , Teolis Trevor 
Published: August 2021

Abstract
Particles are injected into a large planar domain through the boundary and perform a random or sufficiently chaotic deterministic motion inside the domain. Our main example is the Sinai billiard, which periodically extended to our large planar domain, is referred to as the Lorentz process. Assuming that the particles move independently from one another and the boundary is also absorbing, we prove the emergence of local equilibrium of the particle density in the diffusive scaling limit in two scenarios. One scenario is an arbitrary domain with piece-wise smooth boundary and a carefully chosen injection rule; the other scenario is a rectangular domain and a much more general injection mechanism. We study the latter scenario in an abstract framework that includes Lorentz processes and random walks and hopefully allows for more applications in the future.
Theoretical investigation and experiment of a disc-shaped triboelectric energy harvester with a magnetic bistable mechanism
Authors: Zhao Huai , Ouyang Huajiang 
Published: August 2021

Abstract
Triboelectric energy harvesting has emerged as a promising route to scavenge ambient mechanical energy for cost-effective, clean and sustainable electricity. Disc-shaped triboelectric energy harvesters are suitable for two kinds of mechanical energy sources: continuous rotation and vibration. A majority of current studies about disc-shaped triboelectric energy harvesters focus on scavenging energy in continuous rotation, but there is a lack of investigations on angular vibration, especially in structural dynamics. In this work, a new disc-shaped triboelectric energy harvester with a bistable mechanism enabled by two repulsive magnets is developed for harvesting vibration energy. There are two discs in the harvester, one stationary and the other undergoing angular oscillation. Both have segmented triboelectric films on their contact surfaces. The magnetic bistable mechanism is utilized for the first time in a disc-shaped triboelectric energy harvester for efficiency enhancement. A comprehensive theoretical model coupling both structural dynamic and electric dynamic domains is established. A comparison between the coupled and uncoupled models reveals that the ET between electrodes can be ignored. Numerical simulations are carried out to investigate the effect of the potential wells due to the two magnets, basins of attractors and the influence of damping from the perspective of structural dynamics. A prototype is fabricated for experimental investigations, which demonstrate that the harvester with the bistable mechanism can achieve a better performance than the corresponding harvester without the bistable mechanism, and the output voltage of the harvester increases with the increase of excitation amplitude. Theoretical and experimental comparisons about the electric outputs between the triboelectric films with different segmentation structures reveal that increasing the number of sectors on the films effectively improves the harvesting efficiency. This work establishes a link between the structural dynamics and electric dynamics for the vibration-based disc-shaped triboelectric energy harvester, providing guidelines for its design and fabrication.
Collective self-trapping of atoms in a cavity
Authors: Dombi A , Clark T W , Williams F I B , Jessen F , Fortágh J , Nagy D , Vukics A , Domokos P 
Published: August 2021

Abstract
We study experimentally the optical dipole trapping of a cloud of cold atoms in a high-finesse cavity in the parameter regime where the atomic back-action on the cavity mode is significant. Back-action based effects lead to state selective optical manipulation schemes. We identify a parameter range where the collective back action of the atoms is needed for the trapping, i.e. a single atom would not be trapped under the same laser drive conditions. The collective self-trapping is demonstrated by the observation of a significant increase of the trapping time as a function of the atom number. The atomic back action on the cavity field gives rise to a simultaneous real-time monitoring of the number of trapped atoms. This is used to show a non-exponential collapse of the atom trap.
Indicators Recommendation Algorithm based on Information Entropy and FP Growth for Power Report System
Authors: Yifan Yang , Jin He , Yumeng Zhang , Jian Zheng , Ning Liu 
Published: August 2021

AbstractFor the Indicators recommendation problem of a power report system without user grade but a large amount of browsing records data, a novel algorithm of mining association rules based on information entropy and Fp-growth is proposed. Firstly, though normalizing the browsing frequency, the information entropy is used to determine the weights of items so as to calculate the interesting measurement value for users. Besides, the forgetting function is introduced to reflect the interest transfer. Then, the FP-growth algorithm is improved by dynamically adjusting support and activity. Finally, the browsing records data of the power report system were used as the test dataset for experiments. The results showed that the algorithm can effectively recommend interest items for users, and the recommendation performance is significantly improved compared with other algorithms.
Research of Multi-Point Temperature Control Method in the Heating System of 3D Glass Hot Bending Machine
Authors: Xu Zhaobo , Feng Pingfa , Zha Huiting , Xu Chao , Ma Yuan , Feng Feng 
Published: August 2021

Abstract
3D glass hot bending machine is widely used to produce 3D glass. The heating system is its one of key components. The uniformity of surface temperature distribution of the heating plate in the heating system decides the quality of 3D glass products. At present, the heating system of 3D glass hot bending machine mainly uses single-point temperature control method to adjust the system temperature. However, the single-point temperature control method cannot guarantee the uniformity of surface temperature distribution of the heating plate. In this research, multi-point temperature control method was proposed and the simulation model was established by ABAQUS. The control effect of single-point control method and multi-point temperature control method were compared though simulations and experiments. The results show that the multi-point temperature control method can reduce the surface temperature difference of the heating plate and achieve temperature uniformity so as to improve the quality of 3D glass products.
Research on Fault Waveform Recording Testing of Single Phase to Earth for Distribution Line Fault Indicator
Authors: Yin Hui , Li Baikui , Chen Jie , Gu Lingyun , Wang Zhe , Bao Jingjing 
Published: August 2021

Abstract
To evaluate the recognitional capacity of single-phase grounding fault based on transient recording method in distribution system, the corresponding test method about fault waveform recording is presented for distribution line fault indication. The principle and implementation process of transient recording method is introduced. Ten 10 key indexes are selected from typical characteristic signals of earth fault, and a similarity comparison method of fault waveforms is designed. The proposed method is verified by laboratory tests, which shows its feasibility and effectiveness for test of the recognitional capacity of single phase to earth fault.
The Influence of EMI Power Filter’s Layout on the Measurement of Mains Terminal Disturbance Voltage
Authors: Jun Li , Yi Zhou , Jinxiong Xie 
Published: August 2021

Abstract
In the first place, this article analyzes the principles of electro magnetic interference (EMI) power filter from the aspects of the differential mode and the common mode disturbance. Afterwards, the design requirements of key components in the EMI power filter and the layout principles of filter is investigated. Next, the influence of layout of EMI power filter on the measurement of mains terminal disturbance voltage has been studied experimentally by the lap quality of the filter onto the equipment under test, the distance between the input and output power line of filter, as well as the input cable length of EMI power filter. Finally, we draw the conclusion that the layout quality of power filter has important impact on the measurement of mains terminal disturbance voltage. It means that the related rules should be strictly abided by when the EMI power filter is used to restrain the conducted disturbance.
Experimental Study on Modified MR Damper
Authors: Khedkar Yashpal M. , Bhat Sunil , Adarsha H. 
Published: August 2021

Abstract
Many systems in Industrial sector face the problems of vibrations. Vibration control equipment like MR damper is employed to minimize these vibrations. In this context, magenetorheological fluid (MR Fluid) is introduced as a damper fluid to improve the damper’s vibration reduction capacity significantly. This damper is known as Magnetorheological damper (MR damper) in which electromagnetic piston produces attractive impact to enact MR liquid. However, some problems are observed in MR damper due to internal electromagnetic piston configuration. Therefore, modification is proposed in the damper. The proposed design consists of a conventional MR damper filled with MR fluid and an external assembly of permanent magnet fitted around the damper. The modified MR damper has been tested under different parametric conditions with MR fluid AMT-Dampro. The results convincingly indicate that the modified damper delivers excellent performance by generating effective damping capacity that can be utilized for necessary applications.
Design of Intelligent IoT Sensing Module Based on Topology Recognition
Authors: Zhang Zhi , Zhao Xi , Chen Zhiru , Guo Liang , Jing Zhen 
Published: August 2021

Abstract
With the development of the Power IoT(Internet of Things), the traditional terminal collection devices are not able to meet the huge and accurate data collection demands.In order to complete the requirements of comprehensive data collection and monitoring, line loss analysis and judgment, anti-theft, active repair and intelligent IoT access of other access devices, this paper puts forward intelligent management and control function of the smart sensing module.The new modular acquisition device takes miniaturization, modularization and integration as the design concept, takes the Internet of Things technology as the core, further strengthens the depth and breadth of low-voltage perception, assists the ubiquitous power Internet of Things construction.This paper mainly analyzes and discusses the hardware design, key technology and function realization of the intelligent IoT sensing module based on the Internet of Things.
Discussion on the Security Mechanism of Energy Internet in 5G network
Authors: Yao Hao , Ye Qi-ge , Yan Xiao-ling , Tang Zong-shun 
Published: August 2021

Abstract
With the coming of 5G network, it is possible for energy Internet to achieve high bandwidth and low delay interconnection. At the same time, it also brings new security problems. The core elements of 5G - virtualization, cloud migration, network slicing, Internet of Things, 5G gateway and even related software development may become security vulnerabilities. Aiming at the possible security problems in the application of 5G in the energy Internet, including the overall security architecture, industry security subdivision, Internet of Things security operation and maintenance, and the application of new security mechanisms, this paper expounds the relevant concepts and threats. This paper puts forward that in security architecture, we should make full use of security mechanisms such as logical isolation and access control to achieve in-depth defense; in industry segmentation, we should have customized security capability response for different application scenarios of different industries; in the security operation and maintenance of the Internet of Things, we should aim at the complex network environment and topology of mass terminals. In the new security mechanism, it should be combined with large data analysis and AI intelligent processing to enhance the ability of security early warning. Finally, combined with the application scenario of the energy internet, this paper proposes a comprehensive solution to the energy Internet Security in the 5G.
Timing measurements with a 3D silicon sensor on Timepix3 in a 180 GeV/c hadron beam
Authors: Heijhoff K. , Akiba K. , Bates R. , van Beuzekom M. , Bosch P. , Colijn A.P. , Geertsema R. , Gromov V. , Heidotting M.L.E. , Hendrikx L.S. , Hynds D. , Snoek H. 
Published: August 2021

Abstract
Test beam measurements have been carried out with a 3D sensor on a Timepix3 ASIC and the time measurements are presented. The measurements are compared to those of a thin planar sensor on Timepix3. It is shown that for a perpendicularly incident beam the time resolution of both detectors is dominated by the Timepix3 front-end. The 3D detector is dominated by the time-to-digital conversion whereas the analog front-end jitter also gives a significant contribution for the thin planar detector. The 3D detector reaches an overall time resolution of 567 ± 6 ps compared to 683 ± 8 ps for the thin planar detector. For a grazing angle beam, however, the thin planar detector achieves a better time resolution because it has a lower pixel capacitance, and therefore suffers less from jitter in the analog front-end for the low charge signals that mainly occur in this type of measurement. Finally, it is also shown that the 3D and thin planar detector can achieve time resolutions for large clusters of about 100 ps and 250 ps, respectively, by combining many single hit measurements.
Moisture and temperature influences on nonlinear vegetation trends in Serengeti National Park
Authors: Huang Ningyuan , Mondal Pinki , Cook Benjamin I , McDermid Sonali 
Published: August 2021

Abstract
While long-term vegetation greening trends have appeared across large land areas over the late 20th century, uncertainty remains in identifying and attributing finer-scale vegetation changes and trends, particularly across protected areas. Serengeti National Park (SNP) is a critical East African protected area, where seasonal vegetation cycles support vast populations of grazing herbivores and a host of ecosystem dynamics. Previous work has shown how non-climate drivers (e.g. land use) shape the SNP ecosystem, but it is still unclear to what extent changing climate conditions influence SNP vegetation, particularly at finer spatial and temporal scales. We fill this research gap by evaluating long-term (1982–2016) changes in SNP leaf area index (LAI) in relation to both temperature and moisture availability using Ensemble Empirical Mode Decomposition and Principal Component Analysis with regression techniques. We find that SNP LAI trends are nonlinear, display high sub-seasonal variation, and are influenced by lagged changes in both moisture and temperature variables and their interactions. LAI during the long rains (e.g. March) exhibits a greening-to-browning trend reversal starting in the early 2000s, partly due to antecedent precipitation declines. In contrast, LAI during the short rains (e.g. November, December) displays browning-to-greening alongside increasing moisture availability. Rising temperature trends also have important, secondary interactions with moisture variables to shape these SNP vegetation trends. Our findings show complex vegetation-climate interactions occurring at important temporal and spatial scales of the SNP, and our rigorous statistical approaches detect these complex climate-vegetation trends and interactions, while guarding against spurious vegetation signals.
Dynamic global vegetation models underestimate net CO2 flux mean and inter-annual variability in dryland ecosystems
Authors: MacBean Natasha , Scott Russell L , Biederman Joel A , Peylin Philippe , Kolb Thomas , Litvak Marcy E , Krishnan Praveena , Meyers Tilden P , Arora Vivek K , Bastrikov Vladislav , Goll Daniel , Lombardozzi Danica L , Nabel Julia E M S , Pongratz Julia , Sitch Stephen , Walker Anthony P , Zaehle Sönke , Moore David J P 
Published: August 2021

Abstract
Despite their sparse vegetation, dryland regions exert a huge influence over global biogeochemical cycles because they cover more than 40% of the world surface (Schimel 2010 Science
327 418–9). It is thought that drylands dominate the inter-annual variability (IAV) and long-term trend in the global carbon (C) cycle (Poulter et al 2014 Nature
509 600–3, Ahlstrom et al 2015 Science
348 895–9, Zhang et al 2018 Glob. Change Biol. 24 3954–68). Projections of the global land C sink therefore rely on accurate representation of dryland C cycle processes; however, the dynamic global vegetation models (DGVMs) used in future projections have rarely been evaluated against dryland C flux data. Here, we carried out an evaluation of 14 DGVMs (TRENDY v7) against net ecosystem exchange (NEE) data from 12 dryland flux sites in the southwestern US encompassing a range of ecosystem types (forests, shrub- and grasslands). We find that all the models underestimate both mean annual C uptake/release as well as the magnitude of NEE IAV, suggesting that improvements in representing dryland regions may improve global C cycle projections. Across all models, the sensitivity and timing of ecosystem C uptake to plant available moisture was at fault. Spring biases in gross primary production (GPP) dominate the underestimate of mean annual NEE, whereas models’ lack of GPP response to water availability in both spring and summer monsoon are responsible for inability to capture NEE IAV. Errors in GPP moisture sensitivity at high elevation forested sites were more prominent during the spring, while errors at the low elevation shrub and grass-dominated sites were more important during the monsoon. We propose a range of hypotheses for why model GPP does not respond sufficiently to changing water availability that can serve as a guide for future dryland DGVM developments. Our analysis suggests that improvements in modeling C cycle processes across more than a quarter of the Earth’s land surface could be achieved by addressing the moisture sensitivity of dryland C uptake.