bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surface magnon-polaritons at a dielectric/graphene/gyromagnetic interface in a perpendicular applied magnetic field
Authors: Dantas L Q , Vasconcelos M S , Anselmo D H A L , Cottam M G 
Published: June 2023

Abstract
We present a theoretical study of the surface magnon-polaritons at an interface formed by vacuum and a gyromagnetic medium (that can be either ferromagnetic or antiferromagnetic), when there is a graphene layer deposited between the media at the interface and a magnetic field is applied perpendicular to the interface. The retarded-mode dispersion relations are calculated by considering a superposition of transverse magnetic and transversal electric electromagnetic waves in both media. Our results reveal the appearance of the surface magnon-polariton modes (with frequencies typically of a few GHz) that do not exist in the absence of graphene at the interface. Also, a typical magnon-polariton dispersion relation with damping is revealed, including a resonant frequency that depends on the applied magnetic field. The effects of varying the doping levels, which modify the Fermi energies in the graphene, and varying the perpendicular applied magnetic field are presented, revealing a strong influence exerted by the presence of graphene on the surface magnon-polariton modes. Other effects include the control of the slope of the dispersion curves (with respect to the in-plane wave vector) for the modes as the Fermi energies of the graphene sheet are changed and the distinctive localization properties for the emerging surface modes.
Double-enhanced LIBS system with N2 atmosphere and cylindrical cavity confinement for quantitative analysis of Sr element in soil
Authors: Li Honglian , Wang Chun , Wang Yitong , Fu Shijie , Fang Lide 
Published: June 2023

Abstract
To effectively improve the quality of laser-induced plasma spectra and the detection accuracy of laser-induced breakdown spectroscopy (LIBS) simultaneously for Sr element in soil, the dual mechanism of N2 atmosphere combined with cylindrical cavity confinement for laser-induced Sr plasma emission enhancement was proposed and investigated in this paper, and a multi-spectral fusion internal standard analysis model was established. Optimum enhancement effect can be achieved under the conditions of 2 mm diameter and 6 mm height of the confinement cavity in N2 atmosphere, where the enhancement factor was about 3.25, the signal-to-noise ratio reached 710.28, and the LIBS spectrum quality was the best; the relative standard deviation value (2.64%) was the smallest, and the LIBS signal reproducibility was the best. For the samples in this study, the limit of detection of the sample Sr elements under the dual enhancement mechanism was 34.60 mg kg−1, which was 40.43% lower than the limit of detection (LOD) without enhancement mechanism (58.08 mg kg−1), and the R
2 of the multispectral fusion internal standard model was 1.23% higher and the relative error was 3.41% lower than that of the internal standard method. The results showed that the dual enhancement mechanism combining N2 atmosphere and cylindrical cavity confinement improved the spectral quality, signal reproducibility, and detection sensitivity.
Effect of triangularity on plasma turbulence and the SOL-width scaling in L-mode diverted tokamak configurations
Authors: Lim K , Giacomin M , Ricci P , Coelho A , Février O , Mancini D , Silvagni D , Stenger L 
Published: June 2023

Abstract
The effect of triangularity on tokamak boundary plasma turbulence is investigated using global, flux-driven, three-dimensional, two-fluid simulations. The simulations show that negative triangularity (NT) stabilizes boundary plasma turbulence, and linear investigations reveal that this is due to a reduction of the magnetic curvature driven by interchange instabilities, such as the resistive ballooning mode (RBM). As a consequence, the pressure decay length L

p
, related to the scrape-off layer (SOL) power fall-off length λ

q
, is found to be affected by triangularity. Leveraging considerations on the effect of triangularity on the linear growth rate and nonlinear evolution of the RBM, the analytical theory-based scaling law for L

p
in L-mode plasmas, derived by Giacomin et al (2021 Nucl. Fusion
61 076002), is extended to include the effect of triangularity. The scaling is in agreement with nonlinear simulations and a multi-machine experimental database, which includes recent TCV discharges dedicated to the study of the effect of triangularity in L-mode diverted discharges. Overall, the present results highlight that NT narrows the L

p
and considering the effect of triangularity is important for a reliable extrapolation of λ

q
from present experiments to larger devices.
Assessing neutral transport mechanisms in aspect ratio dependent etching by means of experiments and multiscale plasma modeling
Authors: Vanraes Patrick , Parayil Venugopalan Syam , Besemer Matthieu , Bogaerts Annemie 
Published: June 2023

Abstract
Since the onset of pattern transfer technologies for chip manufacturing, various strategies have been developed to circumvent or overcome aspect ratio dependent etching (ARDE). These methods have, however, their own limitations in terms of etch non-idealities, throughput or costs. Moreover, they have mainly been optimized for individual in-device features and die-scale patterns, while occasionally ending up with poor patterning of metrology marks, affecting the alignment and overlay in lithography. Obtaining a better understanding of the underlying mechanisms of ARDE and how to mitigate them therefore remains a relevant challenge to date, for both marks and advanced nodes. In this work, we accordingly assessed the neutral transport mechanisms in ARDE by means of experiments and multiscale modeling for SiO2 etching with CHF3/Ar and CF4/Ar plasmas. The experiments revealed a local maximum in the etch rate for an aspect ratio around unity, i.e. the simultaneous occurrence of regular and inverse reactive ion etching lag for a given etch condition. We were able to reproduce this ARDE trend in the simulations without taking into account charging effects and the polymer layer thickness, suggesting shadowing and diffuse reflection of neutrals as the primary underlying mechanisms. Subsequently, we explored four methods with the simulations to regulate ARDE, by varying the incident plasma species fluxes, the amount of polymer deposition, the ion energy and angular distribution and the initial hardmask sidewall angle, for which the latter was found to be promising in particular. Although our study focusses on feature dimensions characteristic to metrology marks and back-end-of-the-line integration, the obtained insights have a broader relevance, e.g. to the patterning of advanced nodes. Additionally, this work supports the insight that physisorption may be more important in plasma etching at room temperature than originally thought, in line with other recent studies, a topic on which we recommend further research.
Extending the weak cosmic censorship conjecture to the charged Buchdahl star by employing the gedanken experiments
Authors: Shaymatov Sanjar , Dadhich Naresh 
Published: June 2023

Abstract
In this paper, we wish to investigate the weak cosmic censorship conjecture (WCCC) for the
non black hole object, Buchdahl star and test its validity. It turns out that the extremal limit
for the star is over-extremal for black hole, Q
2/M
2 ≤ 9/8 > 1; i.e., it could have 9/8 ≥
Q
2/M
2 > 1. By carrying out both linear and non-linear perturbations, we establish the same
result for the Buchdahl star as well. That is, as for black hole it could be overcharged at the
linear perturbation while the result is overturned when the non-linear perturbations are
included. Thus WCCC is always obeyed by the Buchdahl star.
Experimental research on specially optical bistability based on atomic ensemble
Authors: Zhang Huiling , Hao Jiarui , Xie Zhongzhu , Fang Yong 
Published: June 2023

Abstract
Optical bistability (OB) phenomenon based on electromagnetic induced transparency has received widespread attention from researchers due to its good application prospects in ultrafast all-optical switches, high-speed all-optical exchange devices, optical storage, etc. In this paper, OB is realized in a thermal atomic ensemble by a probe transmission signal and a six-wave mixing signal. By adjusting the controllable parameters of the light field, such as the light field intensity, polarization state, incident angle of the light etc, the OB laws of related signal are discovered, analyzed, and summarized. These results will have potential application value in OB devices and signal processing.
Genetic algorithm designed for optimization of neural network architectures for intracranial EEG recordings analysis
Authors: Pijackova Kristyna , Nejedly Petr , Kremen Vaclav , Plesinger Filip , Mivalt Filip , Lepkova Kamila , Pail Martin , Jurak Pavel , Worrell Gregory , Brazdil Milan , Klimes Petr 
Published: June 2023

Abstract

Objective. The current practices of designing neural networks rely heavily on subjective judgment and heuristic steps, often dictated by the level of expertise possessed by architecture designers. To alleviate these challenges and streamline the design process, we propose an automatic method, a novel approach to enhance the optimization of neural network architectures for processing intracranial electroencephalogram (iEEG) data. Approach. We present a genetic algorithm, which optimizes neural network architecture and signal pre-processing parameters for iEEG classification. Main results. Our method improved the macro F1 score of the state-of-the-art model in two independent datasets, from St. Anne’s University Hospital (Brno, Czech Republic) and Mayo Clinic (Rochester, MN, USA), from 0.9076 to 0.9673 and from 0.9222 to 0.9400 respectively. Significance. By incorporating principles of evolutionary optimization, our approach reduces the reliance on human intuition and empirical guesswork in architecture design, thus promoting more efficient and effective neural network models. The proposed method achieved significantly improved results when compared to the state-of-the-art benchmark model (McNemar’s test, p ≪ 0.01). The results indicate that neural network architectures designed through machine-based optimization outperform those crafted using the subjective heuristic approach of a human expert. Furthermore, we show that well-designed data preprocessing significantly affects the models’ performance.
A Neurodynamic Approach for SWIPT Power Splitting Optimization
Authors: Wang Tong , Cui Hao , Zhang Zhongyi , Wei Jian 
Published: June 2023

Abstract
Simultaneous wireless information and power transfer (SWIPT) systems using energy from RF signals can effectively solve the energy shortage of wireless devices. However, the existing SWIPT optimization methods using numerical algorithms are difficult to solve the non-convex problem and to adapt to the dynamic communication circumstances. In this paper, a duplex neurodynamic optimization method is used to address the SWIPT system’s power partitioning issue. The information rate maximization problem of the SWIPT system is framed as a biconvex problem. A duplex recurrent neural network is used to concurrently execute local search and update the initial state of the neural network by a particle swarm optimization method to get the global optimum. The experimental results demonstrate that the duplex neurodynamic-based SWIPT system maximizes information rate while satisfying the minimal harvesting energy requirement in a variety of channel states.
An adaptive stochastic resonance detection method based on a fast artificial fish swarm algorithm
Authors: Liang Chenxi , Dou Zheng , Li Lihao , Wang Xingyang 
Published: June 2023

Abstract
A new stochastic resonance method that is based on a fast artificial fish swarm algorithm has been proposed in an effort to address the adaptive parameter-induced stochastic resonance for weak signal detection’s slow convergence time. The target evaluation function for the system is the output signal-to-noise ratio. The method of scale transformation and amplitude compression is used to pre-process the high frequency and large parameter signals. To achieve fast adaptive detection that applies to weak communication signals, the stochastic resonance system’s characteristics are used to constrain the optimization iteration rules.According to the simulation results, the fast artificial fish swarm method has significantly better optimization efficiency and achieves the same optimization results as the basic artificial fish swarm algorithm while reducing convergence time by 74.89%.
A Mixed Intrusion Detection System utilizing K-means and Extreme Gradient Boosting
Authors: Lv Haifeng , Ji Xiaoyu , Ding Yong 
Published: June 2023

Abstract
The intrusion detection system (IDS) plays an important part because it offers an efficient way to prevent and mitigate cyber attacks. Numerous deep learning methods for intrusion anomaly detection have been developed as a result of recent advances in artificial intelligence (AI) in order to strengthen internet security. The balance among the high detection rate (DR), the low false alarm rate (FAR) and disaster of dimensionality is the crucial apprehension while devising an effective IDS. For the binary classification of intrusion detection systems, we present in this study a mixed model called K-means-XGBoost consisting of K-means and (Extreme Gradient Boosting, XGBoost) algorithms. The distributed computation of our method is achieved in Spark platform to rapidly separate normal events and anomaly events. In phrases of accuracy, DR, F1-score, recall, precision, and error indices FAR, the proposed model’s performance is measured via the well-known dataset of NSL-KDD. The experimental outcomes indicate that our method is outstandingly better among accuracy, DR, F1-score, training time, and processing speed, compared to other models which are recently created. In particular, the accuracy, F1-score, and DR of the proposed model can achieve as high as 93.28%, 94.39%, and 99.22% in the NSL-KDD dataset, respectively.
An Energy Saving Control Strategy Based on Multi-Agent Q-Learning Algorithm for Data Center
Authors: Yu Hui , Xia Ying 
Published: June 2023

Abstract
In recent years, the application of green renewable energy to data centers has become an important trend. Traditional solutions lack the consideration of matching tasks to renewable energy supplies. Therefore, in the face of diverse real-time computing tasks, how to reduce the total energy cost while ensuring the quality of service is an important challenge for the data center in the future. In this paper, our focus is on using the information on renewable energy supply and task characteristics as input states to assign tasks that maximize user satisfaction while meeting the minimum total cost of energy consumption. We consider the diversity of real-time tasks and design three different task types: the most crucial task, the crucial task and the non-crucial task. According to the different characteristics of these tasks, we propose a scheduling algorithm based on multi-agent, which uses multiple sets of agents with different initial positions to parallel search in different dimensions of the parameter space to find the optimal solution. To further optimize the algorithm, we eliminate the centralized noise solution based on the Pareto sorting method and sort the multiple optimal solutions to highlight the most suitable solution. The experimental results show that the proposed algorithm compared with other algorithms can reduce the total energy consumption by 11% and increase the customer satisfaction by 13% on average, and has better performance and applicability.
Exploring cesium properties internal to the LANSCE H- ion source using resonant absorption spectroscopy
Authors: Kleinjan D. , Neukirch L. , Rouleau G. 
Published: June 2023

Abstract
The Los Alamos Neutron Science Center (LANSCE) H- ion source has provided stable output for decades of LANL mission needs, but its maximum beam output has remained the same at ∼15 mA. A roadblock to improving beam output has been a lack of thorough understanding of the internal mechanisms of LANSCE H- ion source. The LANSCE H- Ion Source Laser Diagnostic Stand (HLDS) was recently built and commissioned to explore these internal mechanisms using laser absorption techniques, to measure and diagnose dynamic H- and cesium densities. The cesium density probe is based on resonant absorption of a continuous wave diode laser tuned though the D2 line of cesium (∼852 nm). The diagnostic capabilities of HLDS will be reviewed, and measurements using the cesium laser diagnostic will be presented.
Performance study of novel micro-Resistive WELL (μ-RWELL) detector in different gas mixtures
Authors: Chakraborty S. , Laird A.M. , Lynch W. , Bencivenni G. , De Oliveira R. , Joshi P. , Hide B. , Raspino D. , Martin L. , Ruiz C. , Upadhyayula S. 
Published: June 2023

Abstract
Versatility of micro-pattern gaseous detectors (MPGD) make them suitable for the use in various fields of study, e.g. nuclear physics, particle physics, dark matter physics along with a wide range of medical and security applications. Our primary interest was to implement the novel μ-RWELL (micro-Resistive WELL) detector as the gas amplification stage in TACTIC, a cylindrical active target time projection chamber (TPC) designed to study nuclear reactions with astrophysical significance. In preparation towards their installation inside TACTIC, the performance and characteristics of μ-RWELL were studied in a test chamber, a planar analogue of TACTIC. This work reports the high gas gains achieved in Ar:CH4 and He:CO2 and a study of the charging-up effect in He:CO2.
Aging test of resistive Micromegas detectors operated with and without hydrocarbons
Authors: Iengo Paolo , Sekhniaidze Givi 
Published: June 2023

Abstract
A long-term irradiation and longevity test was conducted on two bulk-Micromegas detectors with screen-printed resistive strips, working with Ar:CO2 gas mixture at the CERN GIF++ facility between 2015 and 2018.
The results of the test, for a total integrated charge of about 0.3 C/cm2, have been recently published.
One of the detectors exposed at GIF++ was then irradiated with X-rays from Cu, this time with an Ar:CO2:iC4H10 mixture to study the effect of hydrocarbons like isobutane to the detector longevity.
The resistive Micromegas under test has accumulated a total charge of 1.5 C/cm2.
A second detector with identical construction and characteristics, operated at the same voltages and with the same gas but not irradiated, has been used as reference chamber. Charge spectra with an 55Fe source were acquired at regular intervals for both detectors to monitor the evolution of the gain and energy resolution.
The accelerated ageing test has been subsequently repeated with the same detector operated with hydrocarbon-free Ar:CO2 mixture.
The paper describes the experimental setup and test procedure, and focuses on the main results and their interpretation.
The habitat of Varuna litterata in the bengawan solo river
Authors: Fariedah F , Rahayu S , Marhendra APW , Arfiati D 
Published: June 2023

Abstract

Varuna litterata is a crab that belongs to the Varunidae and has been caught to fulfill the need for the availability of an animal protein source. The purpose of this study was to determine the existing habitat of V. litterata in the Bengawan Solo River Estuary. Sampling of V. litterata was carried out every month for five months in three stations by using fixed nets. Water and substrate quality parameters were measured and examined. The samples of V. litterata that had been obtained were then counted and differentiated based on sex and size. The morphological characteristics were then recorded. The sample was then weighed, the width and length of the carapace were measured. The results showed that the abundance of V. litterata was even at each station. The carapace width distribution was dominated by 3.5-3.99 cm in size. The ratio of male and female individuals is still in balance. The results of this study indicated that V. litterata can be found in waters that are directly opposite the sea and spread as far as 32 km from the estuary. V. litterata can be found in waters that are still affected by tidal currents with salinity ranging from 20-25 ppt, temperature ranging from 31-33.2, river surface water current ranging from 0, 39-0,52 m/s with a textured bottom consisting of silty, clayey, sandy, and muddy.
Evaluating The Waterbirds Diversity and Its Preys Under Different Mangrove Ecosystem in The Situbondo Coast, East Java
Authors: Dewi YK , Leksono AS , Retnaningdyah C , Arisoesilaningsih E 
Published: June 2023

Abstract
Mangroves are potential habitats for diverse waterbirds, and its preys, but mangroves conversion caused variations of mangrove forests area along the northern coast of Situbondo Regency. Therefore, it is important to analyze the interaction of mangrove area, diversity of waterbirds, and its prey along the coast of Situbondo Regency. The diversity and waterbirds density and its prey observed by points count method along the transect in six stations, namely Banyuputih, Mangaran, Panarukan, Kendit, Suboh, and Banyuglugur Districts. The area of mangrove forest was determined by satellite imagery. The results showed that the diversity and waterbirds density were influenced by its prey availability and mangrove area. Banyuputih showed the largest mangrove forest area with medium waterbirds (H′ 2.19) and prey diversity (H′ 2.15), similar with Kendit showed medium waterbirds diversity (H′ 1.39) and highest density of waterbirds, followed by highest prey density and medium prey diversity (H′ 2.43). On the other hand, in Banyuglugur with the largest industrial area, only one species of waterbird was found. Ciconia episcopus, and Leptoptilos javanicus as IUCN Redlist vulnerable and near threatened species were founded in the Banyuputih and Kendit. Conserving mangroves integrity as waterbirds habitat and its preys might support a better waterbird’s life.
Description of Some Microalgae Isolates Captured from Sumatra Island, Indonesia
Authors: Pane EP , Risjani Y , Yunianta  , Pane J , Fitrianesia F , Nugraha R , Rahmawati K 
Published: June 2023

Abstract
Microalgae as phytoplankton become the considerable attention object because of their potential in various application. Microalgae can be discovered in various ecosystems and growing in all environmental conditions. The purpose of this study was to identify the genus and abudance of microalgae in some of the coastal area of Sumatera Island, Indonesia. This study was conducted in August until September 2022. The method used is descriptive quantitative by exploration and microalgae calculations. The calculations based on Shannon-Wiener such as abundance, relative abundance, diversity index, uniformity index and dominance index. The sampling area selected was carried out in Suak Ribee Beach (Aceh), Gandoriah Beach (Padang) and Lengkuas Island (Belitung). The sampling method used the random sampling method by horizontal sampling. Statistical analysed is NMDS (non metric multidimensional scaling). The results obtained were 4 class, namely Bachillariophyceae, Chlorophyceae, Cyanophyceae, Fragilariophyceae and 21 genera, namely Achnanthes, Anabaena, Aphanocapsa, Bacillaria, Chalamydomonas, Chroococcus, Cocconeis, Diploneis, Encynopsis, Eudorina, Eupodiscus, Fragilaria, Gyrosigma, Hyalodiscus, Navicula, Nitzschia, Oocytis, Parlibellus, Peronia, Stauroneis and Ulothrix. Microalgae was dominated by group of Bachillariophyceae (76%). The abudance of microalgae obtained range from 11.117 – 36.442 cells/L. The results showed that the diversity index value was moderate (1,46), low dominance (0,17) and moderate uniformity (0,48).