bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interpreting as a part of language planning
Authors: Baxter Robert Neal 
Published: October 2022

Abstract
The paper opens with a brief overview of the reasons behind the decline of the Breton language in the mid-19th to
early 20th Centuries in order to contextualise on-going revitalisation efforts that began in earnest in the 1980s. The discussion
then turns to a theoretical review of the literature concerning the key role that translation has been shown to play within the
framework of language planning for minority languages within the complementary fields of Polysystems Theory and the Sociology of
Translation, arguing that the related yet considerably under-researched field of interpreting can also make a significant
contribution to language planning and revitalisation by heightening visibility and symbolic prestige. Finally, the paper presents
the results of a limited yet revelatory survey of the main interpreters active in the field in order to shed light on key aspects
of the current state of the emerging phenomenon of Breton language interpreting (including interpreter profiles, training,
directionality, modalities, voluntary vs. paid work, the clientele, etc.) and their implications with a view to gauging its
potential impact for language planning and possible directions for the future.
Potential application of chitosan stabilized silver nanoparticles for simultaneous control of dengue virus and mosquito vectors
Authors: Thi Ngoc Dung Tran , Thi Thu Thuy Nguyen , Hau Vu Thi Bich , Thi Nhan Tran , Thi Yen Chi Nguyen , Viet Quang Dang 
Published: October 2022

Abstract
Dengue fever pandemic caused by dengue virus has been claimed for many lives, however, no specific treatment is available. Prevention based on vector control posed to be the most effective measure so far. The application of chitosan stabilized silver nanoparticle (AgNPs) to control larvae and adult mosquitoes has recently discovered, but their ability to inhibit Dengue virus has scarcely discussed. In this study, chitosan stabilized AgNPs have been prepared and tested against dengue virus type 1. The results showed that chitosan stabilized AgNPs can inhibit 96.66% and 98.33% dengue virus type 1 at 12.50 ppm and 25.00 ppm, respectively, without any toxicity to BHKFcɣ cells. This study confirms that chitosan stabilized AgNPs have a highly antiviral ability against dengue virus in addition to its mosquitocidal properties. This allows one to control both virus and vector simultaneously. The study suggested that chitosan stabilized AgNPs could be an effective tool to prevent the dengue epidemic.
FAST Observations of an Extremely Active Episode of FRB 20201124A. II. Energy Distribution
Authors: Zhang Yong-Kun , Wang Pei , Feng Yi , Zhang Bing , Li Di , Tsai Chao-Wei , Niu Chen-Hui , Luo Rui , Yao Ju-Mei , Zhu Wei-Wei , Han Jin-Lin , Lee Ke-Jia , Zhou De-Jiang , Niu Jia-Rui , Jiang Jin-Chen , Wang Wei-Yang , Zhang Chun-Feng , Xu Heng , Wang Bo-Jun , Xu Jiang-Wei 
Published: October 2022

Abstract
We report the properties of more than 800 bursts detected from the repeating fast radio burst (FRB) source FRB 20201124A with the Five-hundred-meter Aperture Spherical radio Telescope (FAST) during an extremely active episode on UTC 2021 September 25–28 in a series of four papers. In this second paper of the series, we study the energy distribution of 881 bursts (defined as significant signals separated by dips down to the noise level) detected in the first four days of our 19 hr observational campaign spanning 17 days. The event rate initially increased exponentially but the source activity stopped within 24 hr after the 4th day. The detection of 542 bursts in one hour during the fourth day marked the highest event rate detected from one single FRB source so far. The bursts have complex structures in the time-frequency space. We find a double-peak distribution of the waiting time, which can be modeled with two log-normal functions peaking at 51.22 ms and 10.05 s, respectively. Compared with the emission from a previous active episode of the source detected with FAST, the second distribution peak time is smaller, suggesting that this peak is defined by the activity level of the source. We calculate the isotropic energy of the bursts using both a partial bandwidth and a full bandwidth and find that the energy distribution is not significantly changed. We find that an exponentially connected broken-power law function can fit the cumulative burst energy distribution well, with the lower and higher-energy indices being −1.22 ± 0.01 and −4.27 ± 0.23, respectively. Assuming a radio radiative efficiency of η

r
= 10−4, the total isotropic energy of the bursts released during the four days when the source was active is already 3.9 × 1046 erg, exceeding ∼23% of the available magnetar dipolar magnetic energy. This challenges the magnetar models which invoke an inefficient radio emission (e.g., synchrotron maser models).
Unified field theoretical approach to deep and recurrent neuronal networks
Authors: Segadlo Kai , Epping Bastian , van Meegen Alexander , Dahmen David , Krämer Michael , Helias Moritz 
Published: October 2022

Abstract
Understanding capabilities and limitations of different network architectures is of fundamental importance to machine learning. Bayesian inference on Gaussian processes has proven to be a viable approach for studying recurrent and deep networks in the limit of infinite layer width, n → ∞. Here we present a unified and systematic derivation of the mean-field theory for both architectures that starts from first principles by employing established methods from statistical physics of disordered systems. The theory elucidates that while the mean-field equations are different with regard to their temporal structure, they yet yield identical Gaussian kernels when readouts are taken at a single time point or layer, respectively. Bayesian inference applied to classification then predicts identical performance and capabilities for the two architectures. Numerically, we find that convergence towards the mean-field theory is typically slower for recurrent networks than for deep networks and the convergence speed depends non-trivially on the parameters of the weight prior as well as the depth or number of time steps, respectively. Our method exposes that Gaussian processes are but the lowest order of a systematic expansion in 1/n and we compute next-to-leading-order corrections which turn out to be architecture-specific. The formalism thus paves the way to investigate the fundamental differences between recurrent and deep architectures at finite widths n.
A Drying system for Rhizoma et Radix Baphicacanthis Cusiae Based on multi-source coupling and efficient energy storag
Authors: Song Shibo , Chen Xuanyou , Yang Mei , Zhang Rongchuan 
Published: October 2022

Abstract
The traditional Chinese Herbal Medicine Rhizoma et Radix Baphicacanthis Cusiae mostly grows in Southwest China. However, due to the lack of technology, the key drying process in the production of Rhizoma et Radix Baphicacanthis Cusiae has the problems of low efficiency, long time and uneven quality. The paper designed a drying system of Rhizoma et Radix Baphicacanthis Cusiae based on multi-source coupling and efficient energy storage by investigating the production of Rhizoma et Radix Baphicacanthis Cusiae in southwest China and studying the natural effects of geographical advantages and light conditions in the region. The main body of the system is composed of a two-position water tank heat circulation system, a hemispherical Fresnel lens array, an air source heat pump, a dehumidification and waste heat recovery device, a temperature and humidity sensor, and a heat exchange tube group. The drying system can better meet the drying needs of Chinese herbal medicine Rhizoma et Radix Baphicacanthis Cusiae. It has the advantages of high efficiency, energy conservation and environmental protection, stable operation, and can independently adjust according to the drying temperature. It has strong practicability. While saving energy, it saves high drying cost for farmers, and meets the special requirements of building intelligent agriculture and enriching rural economic business forms.
Research on Flexible HVDC Converter Valve and VBC Redundancy Reliability Improvement
Authors: Lu JianLiang , Li Xiao , Tang RuBin , Wang ChengHao , Wu SiJie , He ZhenYu , Hu Rong 
Published: October 2022

Abstract
Flexible HVDC transmission play an important role in building a strong smart grid, and it is also very important to design a reliable redundant system for the converter valves and the valve-base controller (VBC). In order to improve the redundancy of the current valve control system, firstly, this paper proposed a new redundant configuration scheme for flexible HVDC converter valve and VBC. Secondly, this paper proposed a switching logic and switching time sequence for the redundant link, in order to make all VBC board hot-swappable when the HVDC system is in operation. Finally, depend on the “Baihetan-Jiangsu” HVDC project, the RTLAB-based test platform was established, which verified the correctness of the redundant system design. The test result shows that the designed scheme improves the redundant system reliability of the flexible HVDC system, and has well-referenced value.
Design of EL defect detection system for photovoltaic power station modules
Authors: Li Na , Fan Tao , Yan Shiqi , Wu Ziang 
Published: October 2022

Abstract
In recent years, the photovoltaic power generation industry has been vigorously promoted and developed, while the solar cell as its core component may have micro-crack defects, which directly affect the power generation efficiency and stability of the photovoltaic system. Therefore, it is necessary to adopt a low-cost, efficient and flexible method to detect defects in solar cells. At present, most of the existing micro-cracks detection is carried out in the laboratory, and there is no EL micro-cracks detection in the actual photovoltaic power station. The main purpose of this paper is to design a set of EL defect detection system that can be used for actual photovoltaic power station modules, which is different from the traditional laboratory-level or module-level defect detection, and to carry the designed detection algorithm to the integrated device to operate. Experiments have shown that the system can perform real-time detection of photovoltaic module defects based on the string level, which improves the detection efficiency while saving time and cost, and shows good performance.
Research on Reactive Voltage Control of Distribution Network with Distributed Photovoltaic Sources
Authors: Chen Shuhao , Yuan Ting , Lin Fei 
Published: October 2022

Abstract
Aiming at the problem that the voltage of multiple nodes exceeds the limit after the distributed photovoltaic source is connected, a reactive voltage control method of distribution network is proposed. It modeled the distribution network system with distributed photovoltaic sources, determined the maximum photovoltaic output and adjustable amount, and calculated the power flow. The line loss can be obtained from the node voltage and rated power, and the power distribution of each branch of the whole network can be further obtained. This paper analyzed the influence of photovoltaic power access on the voltage quality of the distribution network from the perspective of power. It calculated the reactive output power of reactive power compensation equipment of upstream and downstream nodes. In this paper, the active power of distributed generation is locally reduced at each out-of-limit node to control the voltage. The experimental results show that the proposed method can effectively improve the relationship between photovoltaic output and voltage, and realize the correction of photovoltaic regulation. Therefore, it can reduce the risk of voltage out of limit and improve the voltage quality.
Study on direct refrigerant cooling for lithium-ion batteries of electric vehicles
Authors: Wu Haowen 
Published: October 2022

Abstract
For the purpose of improving the working efficiency of lithium-ion batteries for electric vehicles (EVs), prevent battery catching fire and improve the economy of battery thermal management systems (BTMS), in this study a BTMS simulation model with direct cooling struct is built. The evaporator in the cooling circuit of the battery cells directly exchanges heat with the batteries. The performance of models using conventional R134a and environmentally friendly R1234yf was investigated without changing the model structure. The results show that: in normal temperature environment, the BTMS can effectively restrain the battery temperature from rising, the battery temperature would be suppressed under 305 K, the minimum difference of battery pack maximum temperature (T

max
) and energy consumption of the BTMS using two refrigerants is 2 K and 2.3% respectively; when the working temperature is high, the BTMS can quickly drop the cells temperature below 313 K, and the shortest time difference that falling to 313K, is only 66s, and the minimum power consumption difference is 3.2%.
Design and implementation of energy consumption acquisition device based on ESP32
Authors: Zhang Kai , Lv HongFang 
Published: October 2022

Abstract
In recent years, due to the vigorous development of China’s economy and society, the country’s energy use is increasingly high, and the demand is very large. Effectively reducing power consumption while ensuring economic and social development has become a very important issue that the whole Chinese economy and society are concerned about. Based on this, a device energy consumption acquisition device is proposed in this paper. The hardware adopts ESP32 microprocessor as the core controller, and the current type current transformer is used to collect the voltage and current signal data of the device. Arduino software is used to design the acquisition program and output energy consumption data. Finally, the device is tested, and the results show that the device can collect energy consumption data of the equipment.
Research on Sodium-ion Batteries in New Energy Storage
Authors: Bao Congying , Jiang Fenggeng , Tian Yu 
Published: October 2022

Abstract
In recent years, energy storage is becoming one of the key technologies used in many countries to advance the process of carbon neutrality. Even in the face of the dual pressures of the new crown epidemic and supply chain shortages, in 2021, the global new energy storage market will still maintain a high speed growth trend. In 2021, the installed capacity of newly commissioned electric energy storage projects in the world will be 18.3GW, a year-on-year increase of 185%. Among them, the newly commissioned scale of new energy storage will be the largest, and it will exceed 10GW for the first time, reaching 10.2GW, which is the new investment in 2020. It was 2.2 times the scale of transportation, a year-on-year increase of 117%. The United States, China and Europe continue to lead the development of the global energy storage market, together accounting for 80% of the global market.
Intelligent lighting control system based on Internet of things technology
Authors: Wang QiYuan , Lv HongFang 
Published: October 2022

Abstract
With the rapid development of the economy[1], the number of cars in our country continues to increase, underground parking garages have become commercial centers, supporting facilities in large residential areas, the number of underground garages is increasing, and the energy consumption of underground garage lighting systems is also rising. This question proposes an intelligent lighting control system based on the Internet of Things technology, studies the wifi protocol, wireless mesh networking technology, the Internet of Things cloud platform and other technologies. Based on the ESP32 chip, the terminal lighting control node is designed and developed, which cooperates with the sensor to realize the detection of personnel movement and light intensity information. The terminal lighting node controls the brightness and switch of the lamps according to this information, and realizes the effect of turning on the lights when the car arrives and turning off the lights when the car leaves, so as to achieve energy-saving control purpose.
Design of a Sampling System for Wide Range nano-current Signal
Authors: Zheng Sha , Shi Junbiao , Chen Yonggang , Gui Peng , Liu Wenyang , Guo Shuai , Zhang Yuhuan 
Published: October 2022

Abstract
Space particle radiation will greatly shorten the service life of basic components, resulting in premature failure of aircraft. For newly developed electronic components for space applications, strict anti irradiation performance evaluation must be carried out to master their working characteristics and performance degradation mechanism in space irradiation environment, so as to provide a reliable guarantee for the safe operation of aerospace electronic equipment in orbit. Taking high-voltage power devices such as SiC MOSFET and IGBT as the research object, this paper designs a high-precision weak current signal acquisition and measurement system to continuously monitor its working current under specific track applications, so as to verify the mechanism of space radiation effect and the effectiveness of reinforcement technology. The experimental results show that the system has the advantages of wide range, low noise, high precision and good stability. It can be applied to the experimental verification of high-voltage power devices in various space environments, including space station orbit.
Method for weakening cogging torque of built-in permanent magnet synchronous motor by auxiliary slot
Authors: Huang Hongjian , Wang Xudong 
Published: October 2022

Abstract
The cogging torque is an unavoidable property of the permanent magnet motor, which will cause the motor to generate vibration and noise during the movement, and deteriorate the motor performance. In order to decrease the cogging torque of the permanent magnet synchronous motor, by analyzing the cogging torque expression, it is known that opening auxiliary slots in the rotor can decrease the cogging torque. Influence of slot pitch on cogging torque. The simulation results show that when the slot depth is 0.6mm, the slot width is 1.7mm and the slot spacing is 1.56, the cogging torque is most obvious reduced, and the cogging torque is decreased by 53.6% compared to the non-grooved state.
Design and research of cable channel fire extinguishing temperature sensing module
Authors: Liu Sanwei , Duan Xiaoli , Huang Fuyong , Duan Jianjia , Gong Liang , He Du 
Published: October 2022

Abstract
As the core equipment of urban power supply, once the cable is on fire, it will have a great impact on the economy and people’s livelihood. Cable passage fire extinguishing equipment is a reliable infrastructure to eliminate cable fire, and detection components are the key to correct and timely action of fire extinguishing equipment. This paper designs a temperature detection module based on DS18B20, and discusses the design principle from the aspects of internal structure, command sequence, signal mode and so on.
Diesel engine calculation of steady state filtration characteristics of metal fibrous felt particulates filter
Authors: Xu JiaFeng , Liu Peng , Wang JianLi , Song SiHong , Ruan Yu , Li HaiMing , Wang ZhiBin 
Published: October 2022

Abstract
Metal fibrous felt particulates filter has the advantages of high mechanical strength, long service life, large dust capacity, high filtration accuracy, low resistance loss and high temperature resistance. In order to obtain the influence of structural parameters of metal fibrous felt on the characteristics of steady-state filtration efficiency, the effects of structural parameters of filter material such as porosity, fiber felt thickness and fiber diameter on steady-state capture efficiency under different filtration speeds are theoretically calculated and analyzed by using numerical calculation method. The results show that the structural parameters have an important impact on the steady-state filtration efficiency, which must be controlled within a reasonable range. Reducing the surface filtration speed to less than 0.1m/s can effectively improve the filtration efficiency. This paper provides a theoretical basis for the selection of structural parameters of metal fiber felt filter material, and has important research value.
Application of power metering automation in online loss management
Authors: Liu Liyang 
Published: October 2022

Abstract
The electric power industry is a very important fundamental industry in China’s social and economic development and innovation project, which has an extremely crucial influence on the development and construction of traditional industries, construction industries and information technology fields. In order to accelerate the process of urbanization and construction of a well-off society, power-related enterprises should carry out scientific and standardized supervision and management on generation, transportation, transformation, configuration and the use of electricity, the aim is to ensure that they can comply with rule of the national standards and the needs of social development.
Study of Measuring True Porosity of Ceramic samples by X-ray Transmission Method
Authors: Shao Jinfa , Hou Yucun , Li Rongwu , Pan Qiuli , Cheng Lin 
Published: October 2022

Abstract
This paper reports a method for measuring the true porosity of ceramic samples based on X-ray transmission. The measurement of the true porosity of ancient Ding kiln white porcelain and two daily white porcelains was carried out by X-ray transmission method. The research results show that the average true porosity of ancient Ding kiln white porcelain, daily white porcelain A, and daily white porcelain B measured by the X-ray transmission method is 5.44%, 9.10%, and 13.97%, respectively; and the values measured by the suspension method were 5.35%, 8.43%, and 12.89%, respectively. Although the true porosity values of the ceramic samples measured by the X-ray transmission method are slightly larger than the measurement value of the suspension method, they are in good agreement with each other. In addition, compared with the suspension method, the X-ray transmission method has significant advantages such as simple operation and short measurement time.
Effect of Annealing Temperature on the Growth of Helium Bubbles in Silicon
Authors: Wang Jianguang , Cui Haoxiong , Cheng Guoan , Wu Xiaoling , Zheng Ruiting 
Published: October 2022

AbstractPorous silicon has broad application prospects in the fields of Optics and catalysis. Manufacturing helium bubbles in silicon is one of the effective methods to prepare porous silicon. However, the research on the optimal parameters of this preparation technology and the growth mechanism of helium bubbles in silicon is not deep enough. In this paper, the experimental method of Ic + A is adopted. Firstly, 200 keV He ions (5 × 1016ions / cm2) was implanted into monocrystalline silicon at room temperature, subsequent the effects of different annealing temperatures on the growth of helium bubbles in silicon were studied. It is found that after annealing at 400 °C and below, there are only some fine structures of interstitial particles in monocrystalline silicon samples. At the annealing temperature of 500 °C ~ 800 °C, two sizes of helium bubble structures appear in the defect layer, and the diameter of helium bubble increases with the increase of annealing temperature.