bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disease-Based Prognostication: Myasthenia Gravis
Authors: Almodovar Jorge L. , Mehrabyan Anahit 
Published: September 2023

AbstractMyasthenia gravis (MG) is an acquired autoimmune neuromuscular junction transmission disorder that clinically presents as fluctuating or persistent weakness in various skeletal muscle groups. Neuroprognostication in MG begins with some basic observations on the natural history of the disease and known treatment outcomes. Our objective is to provide a framework that can assist a clinician who encounters the MG patient for the first time and attempts to prognosticate probable outcomes in individual patients. In this review article, we explore clinical type, age of onset, antibody status, severity of disease, thymus pathology, autoimmune, and other comorbidities as prognostic factors in MG.
Pinpointing prescriptive impact
Authors: Malory Beth 
Published: September 2023

Abstract
This paper presents a single-author case study which demonstrates that the statistical modelling technique change
point analysis (CPA) can provide compelling evidence of prescriptive impact at an idiolectal level. It has been hypothesized that
Late Modern English review periodicals consistently pushed a prescriptive agenda, and that this impacted language use (McIntosh, 1998; Percy, 2009). A lack of
empirical research has, however, left these claims unsubstantiated, partly because evaluating prescriptivist endeavours has proven
challenging. Using a purpose-built 3-million-token idiolectal corpus spanning 7 decades, this paper reports that it is possible to
discern a striking change in usage. Use of CPA enables this change to be located precisely, and correlated to the author’s
exposure to a prescriptive review of her work. In demonstrating how effectively CPA can provide a sophisticated correlation
indicative of causality, this paper showcases the suitability of this technique to the study of prescriptivism.
Numerical modeling of the multi-stage Stern–Gerlach experiment by Frisch and Segrè using co-quantum dynamics via the Bloch equation
Authors: Titimbo Kelvin , Garrett David C , Kahraman S Süleyman , He Zhe , Wang Lihong V 
Published: September 2023

Abstract
We numerically study the spin flip in the Frisch–Segrè experiment, the first multi-stage Stern–Gerlach experiment, within the context of the novel co-quantum dynamics (CQD) theory. We model the middle stage responsible for spin rotation by sampling the atoms with the Monte Carlo method and solving the dynamics of the electron and nuclear magnetic moments numerically according to the Bloch equation. The simulation shows that CQD closely reproduces, without using any fitting parameters, the experimental observations reported by Frisch and Segrè in 1933, which have so far lacked theoretical predictions.
Ultra-high-sensitivity micro-accelerometer achieved by pure axial deformation of piezoresistive beams
Authors: Yu Mingzhi , Jia Chen , Han Xiangguang , Xia Yong , Zhao Libo , Yang Ping , Lu Dejiang , Wang Yonglu , Wang Xiaozhang , Jiang Zhuangde 
Published: September 2023

Abstract
Microfabricated piezoresistive accelerometers with purely axially deformed piezoresistive beams have demonstrated high performance. However, the conventional design of such accelerometers requires complex theoretical calculations and specific dimensional conditions to achieve purely axial deformation, which inevitably increases the difficulty and cost of the design and manufacturing. We propose an innovative structure that can simply realize pure axial deformation of piezoresistive beams by eliminating the transverse displacement at both ends without tedious calculations. An accelerometer based on the structure was fabricated; both static and dynamic performances were tested. The results showed that the accelerometer had high sensitivity (2.44 mV g−1 with 5 V bias, without circuit amplification), low cross-axis sensitivity (1.56% and 0.49 %, respectively), and high natural frequency (11.4 kHz), with a measurement range of 0–100 g. This design method provides an easy approach for designing high-performance piezoresistive sensors.
Connecting Arduino and Processing for an RGB LED exploration: a new approach for technology-enhanced learning
Authors: Hahn Marcelo Dumas , Carvalho Paulo Simeão , Cruz Frederico Alan 
Published: September 2023

Abstract
The phenomenon of adding colours is a relevant topic and integrates school programmes in different countries. In most cases, it is presented by teachers through static images, drawn on the board or schematised in school textbooks. This approach stems, in many cases, from the lack of adequate resources that allow a discussion without inducing misunderstandings, which unfortunately does not meet the necessary demands for learning. From the perspective of a necessary methodological change, a path is presented: the use of active methodologies enrolling students in their learning process based on the joint discussion of science and technology. Based on these principles, we present in this work a proposal for an experimental setup that can be used in classes where the discussion of adding colours occurs, allowing students to carry out a real-time comparison between the colour perceived in an RGB light-emitting diode display, and the colour produced in a computer screen. In addition to the phenomenological aspects, the setup will allow students to perceive the differences in shades and, consequently, how technology in the perception of colour.
Photonic negative differential transistor based on cavity polaritons
Authors: Yu Zi-Fa , Yan Peng-Fei , Gao Ji-Ming , Hu Fang-Qi , Xue Ju-Kui 
Published: September 2023

Abstract
We theoretically provide a scheme for realizing a photonic negative differential transistor (NDT) by using a two-port asymmetric system with cavity exciton polaritons. In such a hybrid optomechanical system, the transmission of the probe light can be completely regulated by the pump field. Interestingly, the resonance transmission curve of probe light has a negative (positive) slope to the pump intensity, which depends on the coupling among excitons, photons and phonons. Therefore, the probe transmission exhibits the characteristic of negative (positive) differential transistors. The transmission spectrum of probe fields is modified by Stokes and anti-Stokes scattering effects, resulting in the output probe light be either attenuated or amplified. Moreover, we find that the transmission of pump fields has a bistability characteristic with appropriate parameters due to nonlinear effects. Our results open up exciting new possibilities for designing a photonic NDT, which may be applied to implement polariton integrated circuits.
Effect of trapping and reflection on dust acoustic solitary waves in nonthermal opposite polarity dust plasmas
Authors: Soliman G H , Zahran M A , Elkamash I S 
Published: September 2023

Abstract
The study of resonant wave-particle interactions (WPIs) is crucial in plasma systems where charged plasma particles interact via long-range electromagnetic waves. Our research focuses on exploring the impact of trapping and reflection, along with the superthermality of Kappa resonance electrons and ions, on the characteristics of dust acoustic waves (DAWs) in opposite polarity dust plasma (OPDP). Both linear and non-linear analyses were conducted. Two distinct types of dust acoustic modes, namely fast and slow, have been observed in the linear regime of two different instances of WPIs. Moving on to the non-linear regime, the Schamel KdV (SKdV) equation has been derived using the reductive perturbation technique. In both cases, a stationary solution in the form of a dust acoustic double-layer wave (DADLW) has been successfully obtained. Our findings are highly relevant to astrophysical plasma environments with non-thermal trapped and reflected particles.
DFT calculations of optoelectronic and thermoelectric properties of K2NaTlX6 (X = Cl, Br, I) halide double perovskites for energy harvesting applications
Authors: Zafar Rabia , Naseem Shahzad , Riaz Saira , Noor N A , Mahmood Asif , Shahzad Khuram 
Published: September 2023

Abstract
The DFT approach was employed to investigate the mechanical, optical and thermoelectric properties of double perovskites (DPs) compounds K2NaTlX6 (X = Cl, Br, I). PBEsol-GGA approximation along with birch-Murnaghan equation is used to calculate the lattice constant, other structural and ground state parameters. The structural, thermodynamic and mechanical stability of these compounds was demonstrated by computing tolerance factor, formation energy and Born criteria. Poisson and Pugh ratio are analyzed to describe the brittle or ductile nature of these studied double perovskites compounds. The anion Cl, Br and I-based double perovskites exhibited direct bandgap as determined from band structure calculations. The study further examined the optical absorption and dielectric constant of the compounds across the energy range 0–10 eV confirming their ability to absorb light in the infrared to visible spectrum. Furthermore, the suitability of the studied double perovskites for thermoelectric applications was assessed using BoltzTraP coding. The Seebeck coefficient, electric conductivity and figure of merit were analyzed, suggesting that these compounds hold promise as viable candidates for thermoelectric applications.
Integrating electric field modeling and pre-tDCS behavioral performance to predict the individual tDCS effect on visual crowding
Authors: Chen Luyao , Chen Guanpeng , Gong Xizi , Fang Fang 
Published: September 2023

Abstract

Objective. Transcranial direct current stimulation (tDCS) has been broadly used to modulate brain activity with both bipolar and high-definition montages. However, tDCS effects can be highly variable. In this work, we investigated whether the variability in the tDCS effects could be predicted by integrating individualized electric field modeling and individual pre-tDCS behavioral performance. Approach. Here, we first compared the effects of bipolar tDCS and 4 × 1 high-definition tDCS (HD-tDCS) with respect to the alleviation of visual crowding, which is the inability to identify targets in the presence of nearby flankers and considered to be an essential bottleneck of object recognition and visual awareness. We instructed subjects to perform an orientation discrimination task with both isolated and crowded targets in the periphery and measured their orientation discrimination thresholds before and after receiving 20 min of bipolar tDCS, 4 × 1 HD-tDCS, or sham stimulation over the visual cortex. Individual anatomically realistic head models were constructed to simulate tDCS-induced electric field distributions and quantify tDCS focality. Finally, a multiple linear regression model that used pre-tDCS behavioral performance and tDCS focality as factors was used to predict post-tDCS behavioral performance. Main results. We found that HD-tDCS, but not bipolar tDCS, could significantly alleviate visual crowding. Moreover, the variability in the tDCS effect could be reliably predicted by subjects’ pre-tDCS behavioral performance and tDCS focality. This prediction model also performed well when generalized to other two tDCS protocols with a different electrode size or a different stimulation intensity. Significance. Our study links the variability in the tDCS-induced electric field and the pre-tDCS behavioral performance in a visual crowding task to the variability in post-tDCS performance. It provides a new approach to predicting individual tDCS effects and highlights the importance of understanding the factors that determine tDCS effectiveness while developing more robust protocols.
Design and research of detection tool for elevator trolley
Authors: Chen Jie 
Published: September 2023

Abstract
In order to ensure the normal operation of the elevator, regular inspection must be carried out on the elevator according to the requirements of TSG T7001-2009 Elevator Supervision inspection and periodic inspection rules. Elevator regular inspection needs to use some common electrical inspection tools including multimeter, clamp flowmeter, feeler, tachometer and other equipment. Due to the large number of detection tools, it is not easy to carry and place. To prevent parts and testing tools from sliding and accident risk. Therefore, this paper designs and studies a portable elevator detection tool vehicle to solve the above problems. The device is capable of simultaneously moving and placing disassembled parts and testing tools. And can protect important inspection tools.
Research on Dwell Point Strategy of Compact Intelligent Parking System under Dynamic Demand
Authors: Shi Y Z , Wang Z G , Zhong Y L 
Published: September 2023

Abstract
“Parking difficulty” seriously hinders urban traffic development, Therefore, itis of great theoretical and practical value to improve the operation efficiency, which study the compact intelligent parking system with high land utilization rate. Considering decentralized and random vehicle access demands, and their impact on the dwell point strategy of parking system, the selection model of dwell point strategy under dynamic demand is built. Building the operation model of compact intelligent parking system, and analysing the influence of environmental factors on the system demand, then the data set is built. Based on random forest, the selection model of dwell point strategy under dynamic demand is built, and the importance of relevant influencing factors is sorted. Finally, the research effect is verified by example. The result shows that the research can effectively improve the operation efficiency and user satisfaction, and the research has a wider scope and application value.
Energy Measurement Technology of Low-frequency 20 Hz Intelligent Energy Meter
Authors: Lu Chunguang , Li Xiong , Liu Wei , Zhu Huan 
Published: September 2023

Abstract
A high-speed and high-precision voltage and current acquisition scheme suitable for 20 Hz low-frequency energy metering, and an energy meter suitable for low-frequency transmission scenarios was designed in this paper. A high-precision energy metering algorithm based on low-frequency metering for three-phase energy meters, using the four-term third-order Nuttall window algorithm to address the impact of asynchronous sampling on metering was proposed in this paper. Equipped with sampling and metering algorithms suitable for low-frequency transmission, the designed meter achieves seamless calibration of diagonal difference and stable power calculation. Adopting an A/D+DSP metering scheme, a 24-bit A/D chip is selected as the signal sampling unit, and a 32-bit high-speed DSP is used as the signal processing unit to achieve the sampling and processing function of 20 Hz signals, completing the low-frequency transmission scenario electricity metering.
Function design and realization of transmission line icing monitoring and early warning system combined with micro-meteorology and micro-topography in Guizhou
Authors: Liu Dandan , Hu Wei , Du Hao , Liu Wei , Wu Shan , Qiang Shuang , Liu Hanjie 
Published: September 2023

Abstract
The icing of transmission lines is one of the main causes of transmission line accidents and power outages, which poses a great threat to the safe and stable operation of transmission lines. Therefore, it is of great significance to establish a set of icing monitoring and early warning system to predict possible icing situations in advance, take corresponding measures, and ensure the normal operation of transmission lines. According to the characteristics of micro-meteorology and micro-topography in Guizhou, this paper designs and implements a set of transmission line icing monitoring and early warning system based on micro-meteorology and micro-topography. Through the experimental analysis of the system, it is proved that the system can effectively monitor and warn the icing of the transmission line, and improve the safety and stability of the transmission line.
Regenerative braking energy recovery control strategy for electric vehicles with battery temperature measurement
Authors: Tian Qin , Hao Cheng 
Published: September 2023

Abstract
Aiming at the problems of short mileage and overheating and easy damage of the battery in electric vehicles, the fuzzy control regenerative braking strategy with vehicle speed, braking intensity, battery state of charge (SOC), and the introduction of battery temperature as fuzzy control input and regenerative braking distribution percentage as output are proposed; secondly, the ideal braking force distribution curve and ECE regulations are used as the boundary to determine the braking force distribution range of pure electric vehicles. Finally, the control strategy designed in this paper is simulated under selected working conditions by ADVISOR software, and the effectiveness and superiority of this control strategy are verified. The strategy can not only reduce the damage to the battery caused by high temperatures but also obtain more braking energy.
Experimental investigation on heat transfer performance of the grooved spiral wound heat exchanger
Authors: Cao Jiaming , Wang Xuesheng , Chen Qinzhu 
Published: September 2023

Abstract
To enhance the heat transfer efficiency of the spiral wound heat exchanger, a grooved spiral wound heat exchanger (GSWHE) was proposed. A test platform was accomplished to experimentally investigate the heat transfer performance with the comparison of a spiral wound heat exchanger (SWHE). The uncertainty analysis of the experiment was conducted, with the maximum relative error being not more than ±5%. The comprehensive heat transfer coefficient of the GSWHE is higher than that of the SWHE when the cooling water flow rate is low. To determine the heat transfer coefficient of both sides, the Wilson plot method was applied. The tube side heat transfer coefficient in the SWHE is found to have an error of about ±30% compared to the empirical correlations. The results also clearly suggest that grooves enhance the heat transfer of the shell side in the GSWHE. By employing effectiveness as a criterion, the comprehensive performance of the GSWHE was found to be 1.23 times higher than that of the SWHE.
Optimization of Heat Dissipation and Control Scheme for Wind Turbine Gearbox Based on FloMaster-Simulink co-Simulation
Authors: Gui Xiangyu , Fu Xiaojing 
Published: September 2023

Abstract
Due to favorable wind conditions and steadily rising temperatures, the demand for heat dissipation for the gearbox of wind turbines rises every spring and summer, and the energy consumption of the heat dissipation system rises as well. In cases where the gearbox oil temperature is excessively high due to poor heat dissipation, the wind turbine unit may only operate at a limited load or shut down. This article suggests a restoration strategy that uses seawater to cool the gearbox lubrication system, based on the operation of the gearbox cooling system of wind turbines. The original wind turbine gearbox cooling system and the enhanced seawater cooling system simulation models are built at the same time, and dynamic working conditions simulation research is done by utilizing the FloMaster simulation platform. To achieve automatic management of the gearbox temperature, we alter the fan or pump’s speed by the oil temperature at the gearbox’s outlet. We design a control scheme based on the working principle and use the FloMaster-Simulink co-simulation to calculate the operating characteristics of the system under dynamic working conditions. The results show that by simultaneously controlling the speed of the pump and the speed of the fan, the cooling system has the best control effect and the lowest energy consumption, providing a reference for the development of the gearbox cooling system of wind turbines.
Parameter Optimization of Electric Pulse Deicer for Overhead Ground Wire Based on Finite Element Method
Authors: Huang Huan , Wu Jianrong , Jiang Tao , Lei Zhengfei , Peng Chi , Zhang Wei , Zhang Xun 
Published: September 2023

Abstract
Because it is difficult to implement short-circuit deicing, overhead ground wire deicing has always been a difficult problem in power grid ice prevention and disaster reduction. In this paper, the working principle of the overhead ground wire electric pulse deicing device is introduced. Then the electric pulse force calculation model of the overhead ground wire is established. The validity of the model is verified by comparing the model-calculated values of coil inductance and resistance with the experimentally measured values. The effect of coil turns, multiplier thickness, and the side length of the multiplier on the pulse force peak and impulse are analyzed. Finally, the electric pulse deicing test of the short-size ground wire is carried out in the artificial climate chamber. The results show that with the increase in the number of turns of the coil, the peak value of the pulse force decreases gradually, the impulse increases gradually, but the growth rate slows down. With the increase of the thickness of the multiplier, the peak value and impulse of the pulse force increase almost unchanged near the skin depth. With the increase of the side length of the multiplier, the peak value and impulse of the pulse force gradually increase until the area of the multiplier is close to the area of the coil. The electric pulse deicing test shows that the deicing length increases with the increase of the number of coil turns, and the deicing efficiency of the 60-turn coil deicing device is 90%.
Multi-Source Energy Storage Stations Control Strategy Considering Implicit Linearization of The Power Flow Manifold
Authors: Lou Ping , Shen Genqiang , Hu Yaojie , Yao Ying 
Published: September 2023

Abstract
With the development of distributed new energy and multi-type loads, in order to realize the effective management of distributed power sources by multi-microgrids and better play the supporting role of microgrids on distributed power sources, we consider the dynamic changes of power flow in the distribution network caused by the power interaction between multi-microgrids and shared energy storage and propose an optimal dispatching strategy of multi-microgrids considering multi-source synergy considering the constraints of power flow. Since the constraint of the distribution network is a highly nonlinear mixed integer programming problem with power terms, a linearized approximation model is adopted for the power flow of the distribution network, and then a multi-objective model with minimal wind power and photovoltaic abandonment and minimum total operating cost of multi-microgrid is established. The improved IEEE18 node system is used to verify the model, and the results show that the proposed method comprehensively considers the linkage of grid-load-storage, which makes the dispatching results more realistic and more applicable.
Influence of Micro Ribs Segment on Quasi-periodic Large-scale Vortex Structure in 4 Rod Bundle Lattices
Authors: Ma Songyang , Chen Wenzhen , Xiao Hongguang 
Published: September 2023

Abstract
Rod bundle lattices play a crucial role in nuclear reactors, steam generators, and heat exchangers. The inclusion of quasi-periodic large-scale vortex structures (QLVS) can enhance flow mixing between the channels of the rod bundle and improve the lattice’s heat transfer capability. To study the impact of micro-rib segments on flow and heat transfer in the lattice, the Reynolds stress model (RSM) is utilized. Results reveal that the arrangement of micro-ribs on the rod bundle surface promotes the generation of QLVSs. These micro-rib segments modify the flow field within the lattice, thereby influencing the QLVS. The drag coefficient and heat transfer coefficient of the rod bundle lattice with micro-rib segments show a positive correlation with the length of these segments compared with the standard rod bundle lattice.