bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detection of Alcoholic EEG signal using LASSO regression with metaheuristics algorithms based LSTM and enhanced artificial neural network classification algorithms
Authors: Manivannan Gowri Shankar , Mani Kalaiyarasi , Rajaguru Harikumar , Talawar Satish V. 
Published: September 2024

AbstractThe world has a higher count of death rates as a result of Alcohol consumption. Identification is possible because Alcoholic EEG waves have a certain behavior that is totally different compared to the non-alcoholic individual. The available approaches take longer to provide the feedback because they analyze the data manually. For this reason, in the present paper we propose a novel approach applied to detect alcoholic EEG signals automatically by using deep learning methods. Our strategy has advantages as far as fast detection is concerned; hence people can help immediately when there is a need. The potential for a significant decrease in deaths from alcohol poisoning and improvement to public health is presented by this advancement. In order to create clusters and classify the alcoholic EEG signals, this research uses a cascaded process. To begin with, an initial clustering and feature extraction is done by LASSO regression. After that, a variety of meta-heuristics algorithms like Particle Swarm Optimization (PSO), Binary Coding Harmony Search (BCHS) as well as Binary Dragonfly Algorithm (BDA) are employed for feature minimization. When this method is used, normal and alcoholic EEG signals may be differentiated using non-linear features. PSO, BCHS, and BDA features allow for estimation of statistical parameters through t-test, Friedman statistic test, Mann-Whitney U test, and Z-Score with corresponding p-values for alcoholic EEG signals. Lastly, classification is done by the use of support vector machines (SVM) (including linear, polynomial, and Gaussian kernels), random forests, artificial neural networks (ANN), enhanced artificial neural networks (EANN), and LSTM models. Results showed that LASSO regression with BDA-based EANN proposed classifier have a classification accuracy of 99.59%, indicating that our method is highly accurate at classifying alcoholic EEG signals.
Long-term changes in wearable sensor data in people with and without Long Covid
Authors: Radin Jennifer M. , Vogel Julia Moore , Delgado Felipe , Coughlin Erin , Gadaleta Matteo , Pandit Jay A. , Steinhubl Steven R. 
Published: September 2024

AbstractTo better understand the impact of Long COVID on an individual, we explored changes in daily wearable data (step count, resting heart rate (RHR), and sleep quantity) for up to one year in individuals relative to their pre-infection baseline among 279 people with and 274 without long COVID. Participants with Long COVID, defined as symptoms lasting for 30 days or longer, following a SARS-CoV-2 infection had significantly different RHR and activity trajectories than those who did not report Long COVID and were also more likely to be women, younger, unvaccinated, and report more acute-phase (first 2 weeks) symptoms than those without Long COVID. Demographic, vaccine, and acute-phase sensor data differences could be used for early identification of individuals most likely to develop Long COVID complications and track objective evidence of the therapeutic efficacy of any interventions.Trial Registration: https://classic.clinicaltrials.gov/ct2/show/NCT04336020.
Open‐source floating‐gate cell for analogue synapses
Authors: Chen Matthew , Sonnadara Charana , Shah Sahil 
Published: September 2024

AbstractThe floating‐gate transistor is commonly employed as a non‐volatile memory device, leveraging a floating node at its gate to store electrical charge over extended periods. This stored charge effectively alters the threshold voltage of the transistor. Utilizing standard CMOS technologies, floating‐gate transistors can be designed and fabricated using conventional CMOS processes. This study focuses on characterizing the performance of a PMOS‐based floating‐gate transistor, specifically fabricated using the open‐source Skywater 130 nm process. The modulation of charge on the floating node is explored through both hot‐electron injection and Fowler–Nordheim tunnelling, providing insight into the resolution of these programming mechanisms. Additionally, the study includes a preliminary analysis of the retention time of the programmed charge in these devices. This work contributes to the open‐source electronics community by detailing the design and programming techniques of floating‐gate transistors developed with an open‐source process design kit, and makes the corresponding FG cell designs available for public use.
9T fast‐write SRAM bit cell with no conflicts for ultra‐low voltage
Authors: Jiang Chenjie , Wen Junqi , Meng Siyu , Fu Kepu , Xia Changquan , Chen Haitao , Qian Qinyu , Cheng Liwen 
Published: September 2024

AbstractWith the development of processes and reduction of transistor size, transistor sensitivity to voltage changes has increased. Traditional SRAM bit cells struggle to function properly at low voltages, and the lengthy write time necessitated by the write conflict problem will inevitably result in write failure. As ultra‐low‐voltage SRAM has emerged as a significant direction of research for SRAM, this paper proposes an ultra‐low‐voltage 9T SRAM bit cell that is conflict‐free. By circumventing write conflicts and enabling rapid writing, the bit cell demonstrates its superiority, particularly at ultra‐low voltages, by eliminating the requirement for peripheral write‐assist circuitry to accomplish chip writing. To assess the performance of the conflict‐free 9T bit cell, simulation experiments are conducted utilizing the 28 nm process model. Simulation results indicate that the 9T bit cell proposed in this paper requires only 66% of the writing time of the traditional 6T cell. This enables the cell to accomplish fast writing and more stable writing performance.
Full‐angle beam scanning leaky‐wave antenna array based on spoof surface plasmon polaritons
Authors: Wang Jun , Yao Yuqi , Kong Xianglin , Xu Ruofeng , Zhao Lei 
Published: September 2024

AbstractA design scheme of high‐gain and full‐angle frequency beam scanning leaky wave antenna (LWA) and array is proposed based on spoof surface plasmon polaritons (SSPPs) slow‐wave transmission line (TL) for radar field applications. A row of complementary split ring resonators is periodically etched near the SSPPs TL, which can transform the fundamental mode of SSPPs TL to the fast‐wave region and radiate electromagnetic waves, realising the full‐angle frequency beam scanning performance. A 1‐to‐2 microwave power divider is designed to feed the LWA array and realised good impedance matching covers 5.8–9.4 GHz bandwidth. Simulation and experimental results indicate that the designed LWA array can realise full‐angle beam scanning range of 180° (−90° to 90°) with a scanning rate of 3.83°/% performance. The peak gain values of the designed LWA element and array are 11.4dBi and 14.6 dBi, respectively, and the radiation efficiency of LWA array is maintained more than 80% within the operation frequency band.
Solid-state reactions at niobium–germanium interfaces in hybrid quantum electronics
Authors: Langa B. , Sapkota D. , Lainez I. , Haight R. , Srijanto B. , Feldman L. , Hijazi H. , Zhu X. , Hu L. , Kim M. , Sardashti K. 
Published: September 2024

Hybrid superconductor–semiconductor materials systems are promising candidates for quantum computing applications. Their integration into superconducting electronics has enabled on-demand voltage tunability at millikelvin temperatures. Ge quantum wells have been among the semiconducting platforms interfaced with superconducting Al to realize voltage tunable Josephson junctions. Here, we explore Nb as a superconducting material in direct contact with Ge channels by focusing on the solid-state reactions at the Nb/Ge interfaces. We employ Nb evaporation at cryogenic temperatures (∼100 K) to establish a baseline structure with atomically and chemically abrupt Nb/Ge interfaces. By conducting systematic photoelectron spectroscopy and transport measurements on Nb/Ge samples across varying annealing temperatures, we elucidated the influence of Ge out-diffusion on the ultimate performance of superconducting electronics. This study underlines the need for low-temperature growth to minimize chemical intermixing and band bending at the Nb/Ge interfaces.
Evidence for the quenching of rapid photoresponse by defect generation in ultraviolet illumination of CuSbS2 films
Authors: Takagaki Y. 
Published: September 2024

Phototransients are investigated for CuSbS2 films with varying the illumination energy. The generation and recombination of photocarriers, which are manifested as changes in the sheet conductivity of the films, take place almost instantaneously for excitation wavelengths of 970 and 633 nm. These rapid responses are, in contrast, absent for the illumination at wavelengths of 375 and 280 nm. In particular, roughly no photoconduction occurs in the case of 280 nm. The sheet conductivity develops thereby random two-level fluctuations following the illumination. Ultraviolet irradiation is thus suggested to generate crystalline defects, giving rise to the quenching of the instantaneous photoresponse caused by their trapping of the photocarriers. The photoresponse in simultaneous illumination at multiple wavelengths is dependent upon the relative intensities of the ultraviolet and visible/infrared components in a nonlinear fashion unless the photo-generated defects are overwhelmed by photocarriers.
Maximizing L2 learning from captioned TV viewing
Authors: Popova Margarita , Miralpeix Imma 
Published: September 2024

Abstract
This study compares comprehension and vocabulary
gains in L1 Russian (upper)-intermediate adolescents who watched two
episodes of a Netflix series in L2 English for the same amount of time under
two conditions: Repeated Viewing (RV) with captions; and Viewing with the
Chrome extension Language Reactor (LR), with individually
regulated tools to enhance learning. Both conditions were equally helpful
for comprehension and vocabulary learning (relative gains up to 51%), suggesting the
comparability of effects of repeated viewing and watching
with LR if the watching time is the same. A qualitative analysis of
learners’ viewing behaviour revealed differences between the conditions:
while the RV group focused more on the episodes’ content, the LR group paid
closer attention to language.
Research on the impact of cascade water light storage complementary power generation on water rate
Authors: Zhang Yan , Su Huaying , Wang Rongrong , Wang Ning , He Xianqiang , Lu Yong 
Published: September 2024

Abstract
Fully leveraging the regulatory role of cascade hydropower in the watershed and achieving complementary joint power generation of cascade water solar systems is an important way to promote the consumption of clean energy. The article takes the water consumption rate of hydroelectric power generation as the starting point and combines pumping and storage with photovoltaic output as the characteristic. A cascade water solar storage complementary scheduling model is proposed, and the impact of pumping and storage on water consumption rate is studied. The scheduling objective of this model is to reduce water consumption while fully absorbing photovoltaic output, including mechanical and electrical constraints of water turbines and pumps, grid balance constraints, and hydraulic constraints. The study focuses on the four cascade hydropower stations on the Beipan River and the surrounding photovoltaic power station group.
Research on new energy control optimization scheme based on dynamic voltage stability index
Authors: Liu Mosi , Sun Zhiyuan , Li Jinzhao , Peng Boya , Zheng Kun 
Published: September 2024

Abstract
This article presents a new energy control parameter optimization method based on the dynamic stability feature. We determine the voltage stability degree of the clean energy access system through the dynamic stability feature and then optimize the control parameters of the clean energy station according to the voltage stability degree of the system. By modifying and optimizing the control parameters of the external loop of the wattless power control, the clean energy has a stronger reactive power support capacity during the low-voltage ride-through period, enhancing the stability of the clean energy access system.
Study on fracture potential at a high water-cut stage: a case study of block a of Daqing oilfield
Authors: Li Wenxiang 
Published: September 2024

Abstract
At the middle and final stages of oilfield development, outstanding interlayer contradictions and the water cut of the single well are high. At this conjuncture, the conventional fracturing method for wells and layers selection cannot meet the current needs. Through the application of reservoir modeling, fine characterization methods for reservoirs and the injection-production relationship of the well pattern are re-evaluated. Algorithm optimization problems in the process of establishing geological models, the correlation between structural location and measures for increasing production, and the constraints of different water injection flow lines on the development well network are deeply analyzed. A new method of tapping the potential for measures adapted to this block is created, which has guiding significance for the mid- to late-stage development of old oil fields to increase production.
Study and application of technical policy limits for layer system recombination in water drive sandstone reservoirs
Authors: Hu Qihao , Guo Fajun , Wang Yazhou , Wang Xiuwei , Zhou Zhenyong , Che Ying , Wang Hongtao , Wan Min , Liu Shasha , Cao Jiefeng 
Published: September 2024

Abstract
Layer system recombination is the combination of main layers and non-main layers into a new injection-production well pattern respectively, in order to reduce interlayer contradictions. The main factors restricting layer system recombination are reservoir physical properties, residual material basis, and economic benefits. In this study, according to the actual reservoir characteristics, a conceptual model is established to study the technical policy limits of layer system recombination. Through numerical simulation and mathematical statistics methods, the variation rules of permeability rank difference, recovery degree rank difference, pressure rank difference, viscosity rank difference, and effective thickness upper limit are studied. And the inflection point of the curve is identified as the technical policy limit of layer system recombination. At the same time, the lower limit of reserve abundance under different oil prices is calculated as the economic limit of layer system recombination. Through remaining oil research and well pattern adaptability evaluation, the well pattern reconstruction study is carried out to effectively expand the water drive sweep range and reconstruct efficient displacement flow field. On the basis of layer system recombination and well pattern reconstruction optimization study, the numerical simulation method is used to carry out the research of injection-production technology policy such as reasonable pressure maintenance level, reasonable injection-production ratio, and reasonable oil production rate, which effectively guides the reservoir injection and production control and consolidates the effect of layer system well pattern reconstruction.
Research on adjustable load potential of thermal storage electric heating based on new energy-carrying capacity
Authors: Long Yu , Wang Yongli , Ruan Wenjun , Zhu Mingyang , Zhang Yuze , Duan Meimei 
Published: September 2024

Abstract
To comprehensively examine how the capacity of new energy sources affects the regulatory capabilities of thermal storage electric heat loads within distribution networks, this study introduces a dynamic and optimal scheduling approach tailored for electric heat loads that takes into account the capacity of new energy. Firstly, the regulation model of thermal load is constructed; secondly, the regulation potential of thermal load in the distribution network is analyzed. Ultimately, this research puts forward a regulatory approach for thermal loads considering the capacity of new energy sources. The model is resolved by using an iterative approximation method based on the fast non-dominated sorting genetic algorithm (SA-NSGA-II). The case study outcomes demonstrate that the suggested technique effectively incorporates the regulatory potential of thermal loads, thereby enhancing the integration of new energy within power grids. Example findings indicate that the suggested approach is capable of fully considering the regulation potential of electric and thermal loads and improving the utilization of new energy in power grids.
Wavelet transform-based composite disturbance detection method for power quality in distribution networks
Authors: Guan Zhaoxiong , Huangfu Hancong , Pang Weilin 
Published: September 2024

Abstract
Changes in modal extremum points can result in a low signal-to-noise ratio. Therefore, it is necessary to design a new composite disturbance detection method for power quality in distribution networks based on wavelet transform. That is to say, the abnormal points of composite disturbances in the power quality of the distribution network have been identified, and wavelet transform has been used for detection and classification, thus achieving comprehensive disturbance detection of power quality in the distribution network. The experimental results show that under different types of disturbances, the designed distribution network electrical quality composite disturbance detection method has a high signal-to-noise ratio and reliability and has a certain application value. Has made certain contributions to improving the power quality of the distribution network and ensuring its stable operation.
Research on damping defects of composite insulator core rods
Authors: Zuo Meiyang , Li Lin , Li Xiaolei , Shao Mingyan , Wang Qirui , Chen Bin , Huang Xinghang , Zhu Yu 
Published: September 2024

Abstract
Infrared thermal imaging detection is an effective method to detect faults in composite insulators, but various reasons can cause abnormal heating of composite insulators. Therefore, distinguishing abnormal heating caused by different reasons is particularly important for the safety, stability, and economic operation of the power system. This article conducts in-depth analysis and testing on the heating fault of 220 kV composite insulators, establishes a three-dimensional model, and simulates and analyzes the moisture defects of the core rod at three different defect positions, providing a certain reference value for studying the fault mechanism of composite insulators.
Research on optimal operation of distribution network with unified power quality conditioner
Authors: Zhao Zhiyu , Liang Tianle , Cui Yu , Liu Jialin , Li Weiyu 
Published: September 2024

Abstract
The Unified Power Quality Conditioner (UPQC), as a new type of load regulation equipment, is connected with specific types of loads in low-voltage substations to form an adjustable intelligent load cluster, thereby improving the optimization operation level of the distribution network. This paper introduces a distribution network optimization operation model containing UPQC as a load regulator, based on the branch power flow model, considering the relaxation method and insect foraging intelligent algorithm as solving methods. The distribution network optimization operation model proposed in this paper is based on an improved IEEE 33 node model. Simulation results show that UPQC can optimize the voltage offset level of the distribution network, reduce line losses, and lower the operating costs of distribution network operators by adjusting the low-voltage substation load. This optimized operation model has a certain reference value for reducing the voltage offset of the distribution network and reducing costs and losses.
Design and development of a cable impedance spectrum testing system based on dual-path IV
Authors: Wu Tongbao , Gong Defeng , Yang Lei 
Published: September 2024

Abstract
In order to meet the demand of impedance spectrum measurement for cable fault detection, based on Line Resonance Analysis (LIRA), combined with the cable distribution parameter model, we improve the circuit structure of the traditional “half-bridge method” of impedance measurement by applying two symmetrical auto-balanced bridges to realize the impedance measurement in a wide frequency range from 100KHz to 10MHz. The system adopts the STM32FDNS to measure the impedance in a wide frequency range from 100KHz to 10MHz. The system adopts the STM32F103RCT6 as the core of the main control system, the excitation system, the core measurement system applying two symmetrical auto-balanced bridges, and the human-machine interface. The experimental results show that the design innovation of two-way symmetric automatic balanced bridge compensates for the amplitude and phase of the signal to be measured, realizes the stable output of the ratio of the signal to be measured, with the ratio error not exceeding 0.2%, and the resonance period of the cable impedance spectrum and the impedance amplitude obtained are in line with the accuracy requirements of the LIRA for locating cable faults, and ultimately realizes that the cable fault distance localization error The error of cable fault distance localization is not more than 0.37%.
An optimized criterion for line selection based on zero-sequence admittances for high-resistance SPG faults in the intelligent grounding distribution system
Authors: Mo Yuying , Mo Shixun , Tang Xianhang , Liu Qinghao 
Published: September 2024

Abstract
In the case of a single-phase grounding (SPG) fault in the intelligent grounding distribution system, this paper analyzes the change features of the fault lines’ and the non-fault lines’ zero-sequence admittance amplitudes and phase angles before and after the removal of the busbar grounding arc quenching device. Furthermore, the paper puts forward a new criterion for line selection for SPG faults based on the system’s and the lines’ zero-sequence admittances. Applicable to the intelligent grounding distribution system, this criterion fixes the problems of potential failure protection and poor sensitivity of existing protective methods in the case of high-resistance grounding. In addition, it is superior and exclusive for unifying the action thresholds for all lines in the system. In the simulation experiment, different transition resistances and different locations of the fault point are input to understand their impacts on the criterion and verify its effectiveness and reliability. The simulation results show that this criterion is insusceptible to the fault’s location and that the selection result will become more stable and reliable as the transition resistance rises. This criterion is highly serviceable in practical engineering.