bluuebunny/crossref_metadata_2025 huggingface dataset:
Boosting the 21 cm forest signals by the clumpy substructures
Authors: Kadota Kenji , Villanueva-Domingo Pablo , Ichiki Kiyotomo , Hasegawa Kenji , Naruse Genki
Published: March 2023

We study the contribution of subhalos to the 21 cm forest signal. The halos can host the
substructures and including the effects of those small scale clumps can potentially boost the 21
cm optical depth in favor of detecting the 21 cm forest signals. We estimate the boost factor
representing the ratio of the optical depth due to the subhalo contribution and that due to the
host halo alone (without subhalos). Even though the optical depth boost factor is negligible for
a small host halo with the mass of order 105
M
⊙, the subhalo contribution can enhance
the optical depth by an order of magnitude for a host halo of order 107
M
⊙. The
resultant 21 cm absorption line abundance which is obtained by integrating over the halo mass
range relevant for the 21 cm forest signal can be enhanced by up to of order 10% due to the
substructures. The larger boost factor for a larger host halo would be of particular interest for
the 21 cm forest detection because the contribution of the larger host halos to the 21 cm
forest signals is smaller due to their higher temperature and less abundance than the smaller host
halos. The subhalos hence can well help the larger host halos more important for the signal
estimation which, without considering the subhalos, may not give appreciable contribution to 21 cm
forest signals.
Robustness of pair structures for nuclear yrast states*
Authors: Pan Yi-Fei , Cheng Yi-Yuan , Lu Yi , Jiang Hui , Zhou Xian-Rong , Zhao Yu-Min
Published: March 2023

In this study, we investigate the robustness of pair structures for nuclear yrast states, that is, whether the structures of relevant collective pairs as building blocks of different yrast states are the same. We focus on deformed and transitional nuclei and study the yrast states of

Si,

Cr, and

Xe, whose experimental

values are 2.60, 2.40, and 2.16, respectively, using the nucleon-pair approximation (NPA) and shell-model effective interactions. For each yrast state, we consider optimized pair structures to be those providing the energy minimum for this state. To find the minimum, many full NPA calculations are performed with varying pair structures, and the numerical optimization procedure of the conjugate gradient method is implemented. Our results suggest that optimized pair structures remain the same for all states within a rotational band of a deformed nucleus. Our results also suggest that after backbending, that is, changing of the intrinsic state, the structure of the S pair, which is essential to build the monopole pairing correlation, remains approximately unchanged, whereas the structures of the non-S pairs, which are essential to build the quadrupole correlation, change significantly.
A Bayesian approach for simultaneous spike/LFP separation and spike sorting
Authors: Le Cam Steven , Jurczynski Pauline , Jonas Jacques , Koessler Laurent , Colnat-Coulbois Sophie , Ranta Radu
Published: March 2023

Objective. The aim of this paper is to present a novel method for simultaneous spike waveforms extraction and sorting from the raw recorded signal. The objective is twofold: on the one hand, to enhance spike sorting performance by extracting the spike waveforms of each spike and, on the other hand, to improve the analysis of the multi-scale relationships between spikes and local field potentials (LFP) by offering an accurate separation of these two components constitutive of the raw micro recordings. Approach. The method, based on a Bayesian approach, is fully automated and provides a mean spike shape for each cluster, but also an estimate for each singular spike waveform, as well as the LFP signal cleaned of spiking activity. Main results. The performance of the algorithm is evaluated on simulated and real data, for which both the clustering and spike removal aspects are analyzed. Clustering performance significantly increases when compared to state-of-the-art methods, taking benefit from the separation of the spikes from the LFP handled by our model. Our method also performs better in removing the spikes from the LFP when compared to previously proposed methodologies, especially in the high frequency bands. The method is finally applied on real data (ClinicalTrials.gov Identifier: NCT02877576) and confirm the results obtained on benchmark signals. Significance. By separating more efficiently the spikes from the LFP background, our method allows both a better spike sorting and a more accurate estimate of the LFP, facilitating further analysis such as spike-LFP relationships.
Optimizing the HSX stellarator for microinstability by coil-current adjustments
Authors: Gerard M.J. , Geiger B. , Pueschel M.J. , Bader A. , Hegna C.C. , Faber B.J. , Terry P.W. , Kumar S.T.A. , Schmitt J.C.
Published: March 2023

The optimization of helically symmetric experiment (HSX) for reduced microinstability has been achieved by examining a large set of configurations within a neighborhood of the standard operating configuration. This entailed generating a database of more than 106 magnetic-field configurations for HSX by varying the currents in external coils. Using a set of volume-averaged metrics and gyrokinetic simulations, this database has helped to identify a set of configurations that can be used to regulate trapped-electron-mode stability in HSX. This set of configurations is also found to correlate flux-surface elongation and triangularity with an increase in magnetic-well depth, an increase in rotational transform, and low neoclassical heat-flux relative to the standard quasi-helically-symmetric configuration. These results demonstrate sensitivity of plasma behavior in response to changes in a 3D magnetic field to both neoclassical and gyrokinetic models, and the experimental potential in HSX to explore turbulence optimization. This perturbative optimization approach is not unique to HSX, and can readily be deployed on existing fusion devices to identify novel magnetic-fields to be used in turbulence-optimization experiments.
Solvent effect on structural and optical properties of Titania nanoparticles for pH sensing applications
Authors: Islam S , Bakhtiar H , Alhashem Z H
Published: March 2023

Herein, solvents i.e., methanol, ethanol, propanol, and butanol-assisted titania nanoparticles (TNPs) are synthesized by low-temperature sol-gel method for pH sensing applications. The influence of solvent on the morphology, roughness, porosity, refractive index, and sensing properties are investigated. The relatively high average roughness 2.5 nm and lower refractive index 1.69 is observed for B-TNPs. The sensitivity of butanol-assisted phenol red encapsulated TNPs is observed 2.32 counts/pH.
First-principles study on crystal structures and bulk modulus of CuInX2 (X = S, Se, S-Se) solar cell absorber
Authors: Mazalan E , Aziz M S A , Amin N A S , Ismail F D , Roslan M S , Chaudhary K
Published: March 2023

Chalcopyrite semiconductors are widely used as absorbers in thin film solar cells, especially flexible solar cells, due to their high power conversion efficiency. They also have interesting mechanical properties, making them promising materials for flexible, light, and thin solar cells. In this work, we report the first-principle calculations of the lattice constant and bulk modulus for CuInS2, CuInSe2, and CuIn(S,Se)2 absorber solar materials. All calculations are performed using plane wave as implemented in the Quantum ESPRESSO software package in the framework of density functional theory using PBE-GGA approximations and ultrasoft pseudopotentials. The calculated lattice constant correlates well with the available experimental study. The energy-volume and pressure-volume relations are described using the third order of Birch-Murnaghan’s equation of state to calculate the bulk modulus of the absorber solar material, which is associated to the hardness of a material under particular conditions. The values of bulk modulus obtained for CuInS2 and CuInSe2 are in good agreement with available theoretical results, except for CuIn(S,Se)2, which have been calculated and reported for the first time.
Non-contact salinity measurement using a bifurcated fiber bundle sensing
Authors: Johari Abdul Rahman , Abdullah Mundzir , Singaravadivelan Raj Kumar , Daud Suzairi , Ismail F. D. , Krishnan Ganesan
Published: March 2023

A non-contact salinity sensor using a bifurcated fiber bundle sensing is proposed. The sensor was operated based on intensity modulation due to the variation of displacement between the tip of the probe with the surface of the sample. The light that reflected back into the receiving fiber bundle is analysed and correlation with the salinity of the samples has been performed. This allows the performance of the sensor towards salinity to be quantified based on the front slope, back slope and peak intensity. The proposed configuration has been calibrated and then experimentally validated. The calibration curve can be plotted based on three parameters: peak intensity, front slope and back slope. The peak intensity curve exhibits the highest sensitivity of 1.52×105 a.u./M with the resolution of 4.2×10-2 M. The ubiquitousness of sensor configuration and non-contact measurement make the proposed sensor a viable alternative to standard commercial devices.
The effect of atmospheric plasma jet treatment on honeydew melon seed
Authors: Abdul Halim N H , Shahrudin N F , Safaai S S , Raja Ibrahim R K
Published: March 2023

Non-thermal atmospheric gas plasma is popular for its flexibility and inexpensive cost. NTP is used in food preservation, medical therapy, biotechnology, and agriculture. This study examines how atmospheric plasma jets affect honeydew seed germination, water intake, and growth. In this research, high voltage (1.0–1.4 kV) was varied at a certain frequency with Argon gas. Honeydew melon seeds were a plasma treat sample. Untreated and treated seeds were separated at first. The seeds were examined for a few days after plasma treatment with varying voltage and exposure times. Wider pores reduce contact angle and promote wettability. Optical Contact Angle (OCA) measured the water droplet contact angle. Finally, plasma- treated seeds were compared to untreated seeds to determine plasma’s impact on seed quality.
Measurement of the very rare

K+→π+νν¯

decay at the NA62 experiment
Authors: Brizioli Francesco
Published: March 2023

The

K

+

→

π

+

ν

ν

¯

decay, with a very precisely predicted branching ratio of less than 10−10, is among the best processes to reveal indirect effects of new physics. The NA62 experiment reports the branching ratio measurement BR(

K

+

→

π

+

ν

ν

¯

) =

1.06

−
0.34

+
0.40

|

s
t
a
t

± 0.009|
syst
) · 10−10 at 68% CL, based on the observation of 20 signal candidates with an expected background of 7.0 events from the total data sample collected at the CERN SPS during 2016-2018. This provides evidence for the very rare

K

+

→

π

+

ν

ν

¯

decay, observed with a significance of 3.4σ. This measurement is also used to set limits on BR(K
+ → π

+X), where X is a new feebly interacting scalar or pseudo-scalar particle, foreseen in several new physics scenarios.
Search for the

KL→π0νν¯

decay at the J-PARC KOTO experiment
Authors: Shiomi Koji
Published: March 2023

The KOTO experiment at the J-PARC 30GeV Main Ring aims to study the rare decay

K
L

→

π
0

ν

ν
¯

. This decay directly breaks the CP symmetry and is highly suppressed in the Standard Model (SM). In addition, the theoretical uncertainties on the decay is only a few percent. Those features make this decay one of the best probes to search for new physics beyond the SM.

We had found new background sources from the analysis of the 2016-2018 data set. Thus, we took measures against the new background events.

In this paper, we briefly introduce the results of the 2016-2018 data analysis. We thus report the new detectors and analysis tools that we introduced to reduce the new background events and also the other types of background events. Finally, we report the status of the 2021 data analysis.
Kaon semileptonic form factors at the physical quark masses on large volumes in Nf
= 2 + 1 lattice QCD
Authors: Yamazaki Takeshi , Ishikawa Ken-ichi , Ishizuka Naruhito , Kuramashi Yoshinobu , Namekawa Yusuke , Taniguchi Yusuke , Ukita Naoya , Yoshié Tomoteru
Published: March 2023

We present our results for the kaon semileptonic form factors calculated by using two sets of the PACS10 configuration, whose physical volumes are more than (10 fm)4 at the physical light and strange quark masses in the Nf
= 2+1 lattice QCD. The configurations were generated using the Iwasaki gauge action and Nf
= 2 + 1 stout-smeared clover quark action. The form factors near zero momentum transfer q
2 can be calculated thanks to the large volume. Using our data, a q
2 interpolation and continuum extrapolation are carried out simultaneously. The value of |Vus
| is determined using the result of the form factors at q
2 = 0 in the continuum limit. Our result of |Vus| is compared with the one determined from the CKM matrix unitarity and with those determined using recent lattice results.
First measurement of the K
± → π
0
π
0
μ
±
ν decay
Authors: Korotkova Anna
Published: March 2023

The first observation of the decay K
± → π
0
π
0
μ
±
v (

K

μ
4

00

) by the NA48/2 experiment at the CERN-SPS is reported. From 2437 selected signal candidates with 15% background contamination, the branching ratio of the decay is measured in the restricted kinematical space of the squared dilepton mass above 0.03 GeV2/c
4 and extrapolated to the full kinematical space. The result is found to be in agreement with the R form factor from 1-loop Chiral Perturbation Theory.
Measurement of structure dependent radiative K+
→ e+νγ decay at J-PARC
Authors: Shimizu Suguru
Published: March 2023

The J-PARC E36 experiment is aiming at searching for lepton universality violation by accurately measuring the ratio of branching ratio of the K
+ → e
+
ν(γ) (K

e2(γ)) to K
+ → μ
+
ν(γ) (K

μ2(γ)) decays. The experiment was performed at J-PARC employing a stopped K
+ method in conjunction with a 12-sector iron-core superconducting toroidal spectrometer. Charged particle momenta were determined by reconstructing charged particle trajectories in the spectrometer. Particle identification for e
+ and μ
+ was carried out using an aerogel Cherenkov counter and a lead-glass Cherenkov counter, as well as by measuring the time-of-flight between TOF counters. The peak structure due to K

e2(γ) decay was successfully observed in the e
+ momentum spectrum after the e
+ requirement in the PID analysis. The structure dependent
radiative K
+ → e
+
νγ (

K

e
2
γ

SD

) events were selected by imposing photon hits in the CsI(Tl) calorimeter or the GSC counter. The experimental spectra were accurately reproduced by the Monte Carlo simulation, indicating a correct understanding of the experimental conditions. The Br(

K

e
2
γ

SD

) value relative to Br(K

e2(γ)) was determined from the

K

e
2
γ

SD

and K

e2(γ) yields corrected for the detector acceptances. The Br(

K

e
2
γ

SD

)/Br(K

e2(γ)) ratio was derived to be 1.19 ± 0.07
stat
± 0.04
syst
in the CsI(Tl) analysis and 1.25 ± 0.14
stat
± 0.04
syst
in the GSC analysis.
Two-loop Electroweak Corrections to ϵK
Authors: Kvedaraitė Sandra
Published: March 2023

The parameter εK measures CP violation in the neutral kaon system. It is a sensitive probe of new physics and plays a prominent role in the global fit of the Cabibbo-Kobabyashi-Maskawa matrix. As one of the first discovered sources of CP violation, it has been measured in experiment to permil precision. A simple reparametrization of the efFective Hamiltonian has been recently shown to drastically reduce the perturbative errors coming from the charm-quark corrections, making the electroweak corrections relevant. In this proceedings, I will present the two-loop electroweak corrections to ϵK
.
Searches for lepton flavour and lepton number violating K
+ decays at the NA62 experiment
Authors: Jerhot Jan
Published: March 2023

The NA62 experiment at CERN collected the world’s largest dataset of charged kaon decays to di-lepton final states in 2016-2018, using dedicated trigger lines. Upper limits on the rates of several K
+ decays violating lepton flavour and lepton number conservation, obtained by analysing this dataset, are reported.
Search for Light Neutral Bosons in the TREK/E36 Experiment at J-PARC
Authors: Dongwi Dongwi H.
Published: March 2023

The Standard Model (SM) represents our best description of the subatomic world and it has been very successful in explaining how elementary particles interact under the influence of the fundamental forces. Despite its far reaching success in describing the building blocks of matter, the SM is still incomplete; falling short to explain dark matter, baryogenesis, neutrino masses and much more. The E36 experiment conducted at J-PARC in Japan, allows for sensitivity to search for light U(1) gauge bosons, in the muonic K
+ decay channel. Such U(1) bosons could be associated with dark matter or explain established muon-related anomalies such as the muon gµ
− 2 value, and the proton radius puzzle. A scintillating fiber target was used to stop a beam of positively charged K mesons. The K
+ products were detected with a large-acceptance toroidal spectrometer capable of tracking charged particles with high resolution, combined with a large solid angle CsI(TI) photon detector and particle ID systems. A realistic simulation was employed to search for these rare decays in the mass range of 20–100 MeV/c
2. Preliminary results of the upper limits for the A′
branching ratio Br(A′
) extracted at 95% CL, will be discussed.
Evidence for WZW anomaly in the coherent reaction K
+
Cu → K
+
π
0
Cu
Authors: Obraztsov Vladimir
Published: March 2023

On the statistics of ∼ 8·109 positively charged kaons passing through a thin copper target a coherent production of the K
+
π
0
- pair is studied. Contributions of Coulomb, strong interactions and their interference to the total cross section are determined in the region of K*(892). In the distribution over K
+
π
0 invariant mass, an effect is seen, which can be explained by the interference of the chiral anomaly and the K* (892) amplitudes. From that, the ratio of the measured chiral anomaly amplitude and the theoretical one is obtained: Aexp/Ath
= 0.9 ± 0.24 (stat.)±0.3 (syst.).
Test Method and Application of High-Temperature Operating Life of Automobile Chips
Authors: Wen Qinghao , Zhai Ruiqing , Ji Guotian , Zhu Tong , Li Zheng , Hu Yue
Published: March 2023

The high temperature operating life (HTOL) test is an important item in the reliability test of automobile chips. The goal of the HTOL test is to evaluate the durability of automobile chip products under high-temperature loads. Based on the common-used standards, calculation models, and related research experience of evaluating the reliability of electron devices at home and abroad, this paper focuses on the model of the high-temperature durability test model of automobile chips and analyzes different factors affecting the high-temperature operating life test. The general calculation and analysis model and method of the high-temperature operating life test of automobile chips are presented in this paper, which provides a reference for determining the indicators of the high-temperature operating life test of automobile chips.
Inversion of Equivalent Electromagnetic Parameters of Multilayer Absorbing Materials Based on Simulated Annealing Algorithm
Authors: He Song , Su Tong , He Ling , Chen Jinsong , Xia Liang
Published: March 2023

Multilayer gradient absorbing materials are difficult to be modeled and simulated in practical applications. To solve this problem, a method of the inversion of equivalent electromagnetic parameters of multilayer absorbing materials based on the simulated annealing algorithm is proposed in this paper. The reflectivity of the multilayer absorbing material in different forms of polarization and obliquely incident at different angles is calculated, and then the simulated annealing algorithm is used to calculate the polarization reflectivity and incidence angle reflectivity of the single-layer material in the same thickness within different combinations of electromagnetic parameters to find out the reflectivity curve that is most similar to the reflectivity curve of the wide angle domain of the multilayer absorbing material, namely the desired equivalent electromagnetic parameters. Finally, the simulation verification is performed. The material within the equivalent electromagnetic parameters should be applied to the simple, wedged, and physically-simulated radar cross-section (RCS), and the result is consistent with that of the application of the multilayer absorbing material to the wedged and physically simulated RCS. This suggests that the absorption property of the material within the equivalent electromagnetic parameters calculated with this algorithm is equivalent to that of the multilayer gradient absorbing material.
Short-term Load Forecasting Method Based on Daily Load Curve Clustering and SVM-WD
Authors: Wei Jian , Chen Zhigang , He Fanjun , Qi Qi , Jiang Jingxuan
Published: March 2023

In recent years, as the proportion of residential electricity consumption in the urban distribution network has increased, it has become important to improve the accuracy of residential load forecasting. To extract more data features and make up for the lack of input features, it is proposed to use daily load curve clustering to determine similar days, wavelet decomposition to process historical load values, ADF test, and grey correlation analysis to determine the relationship between variables and historical load values. A method for short-term load forecasting with support vector machine models is proposed. The final experimental results show that the short-term load forecasting method based on daily load curve clustering and SVM-WD has higher forecasting accuracy than the comparison model.
Simulation of Multiple Acoustic Diffraction Based on An Iterative Ray Tracing Method
Authors: Yang Bo , Xu Luwen , Qiu Ni , Yang Jiaxi , Wang Guangming
Published: March 2023

The classical geometrical theory of diffraction is not available for simulating multiple diffractions in wave propagation. To improve the simulating accuracy for multiple diffractions, a multiple acoustic diffraction simulating method based on ray iteration tracing is proposed in this paper. In this method, the ray occurring at the edge of the wall is split into multiple sub-rays. Then, these sub-rays are continually traced based on the classical ray-tracing theory. The numerical verification demonstrates that this method is valid for simulating multiple diffractions.
Research on electric vehicle charging load based on the monte Carlo
Authors: Jia Wenchao , Chen Heng , Liu Xiaotao
Published: March 2023

With the increasing number of electric cars, they may become the most important load in the grid of the future. Due to the randomness of electric vehicles access to the grid, when large-scale electric vehicles are linked to the grid, they will fluctuate on the grid, resulting in the failure of the power supply mode and operation control means of the traditional distribution network to attain the optimal result. In view of this phenomenon, based on the Monte Carlo calculation and simulation, the charging load of electric vehicles is predicted, which can achieve comprehensive prediction under different kinds of electric cars, different battery capacities, different charging methods, etc, and provide theoretical and technical support for the effect analysis of electric vehicles access to power grid.
Finite Element Analysis of Thermal Management Automobile Unit
Authors: Jin Zhenghui , Zhang Shaoguo , Wang Zhao
Published: March 2023

In order to verify the rationality of the structural design scheme of the battery thermal management unit for a new energy vehicle, this paper uses SolidWorks to establish the geometric model of the device, and conducts harmonic response analysis of the unit according to the vibration test requirements specified in the standard for automotive air conditioners, and obtains the modal frequencies, modal shapes, and structural stress distribution of the unit. The results show that under the specified load, the stress of each part of the structure does not exceed the material yield strength, and the structure as a whole meets the design requirements, achieving the purpose of verification.
Reed Design Method of Reed-DVA
Authors: Li Yang , He Hua , Zhang Bo , Lu Kaitian , Chen Biwen
Published: March 2023

Based on a new type of dynamic vibration absorber, this paper studies the change rules of stiffness and stress along with five parameters of its reed: thickness, cantilever width, outer ring width, outer ring fillet radius, and inner ring fillet radius, aiming at providing guidance for designers of reed-DVA.
A Border Gateway Protocol LRA-BGP for Integrated Satellite-terrestrial Networks
Authors: Zang Jinhu , Song Shiyu
Published: March 2023

With the rapid development of information technology, the demand for multi-dimensional integrated information resources of air, sky, and ground in the future information service industry is increasing day by day. The integrated satellite-terrestrial networks will become an important development trend in my country’s communication network in the future. However, the movement of satellites will cause frequent topology changes, which will seriously affect the overall performance of the terrestrial network. Aiming at this problem, this paper proposes a lightweight route advertisement border gateway protocol LRA-BGP. LRA-BGP protects terrestrial networks from the high dynamics of satellites by reducing the number of advertised routes. In addition, a real network environment is also built for actual testing. The results show that LRA-BGP can reduce the bandwidth resource occupation of the ground network by 26.9%~68.8% and CPU usage by 6.17%~7.31%.
Design of Plastic Mould for One-way Valve Seat of Barrel Sailor Pressure Pumping Device
Authors: Zhang Hao , Wang Jianfeng , Chen Zhen , Zhang Jiarui
Published: March 2023

Many plastic products in our lives are produced mainly by special moulds. If there is no good mould, the quality of the product will be significantly reduced. A good set of moulds can reduce labour time and save costs, solve the problem of injection mould in the production of one-way valve seats, make it easy to take off and reduce bubbles, and improve the quality of products. It is of great significance to study and design related moulds. This paper analyzes the process of a one-way valve seat, studies the moulding principle of plastic parts, analyzes the appearance and shape of plastic parts, and optimizes the parting surface design. The reasonable choice of mould frame makes the structure more straightforward to produce and manufacture.
An 8B/10B parallel encoder design for the polarity pre-processing
Authors: Song Siqi , Yin Heguo , Zhao Jianzhong , Zhan Yi , Poechmueller Peter
Published: March 2023

To tackle the high latency and slow encoding speed of 8B/10B encoder circuits in high-speed serial interfaces, a parallel structure for polarity pre-processing based on logic operations is proposed to optimize encoder performance in this article. Firstly, the encoding process is divided into polarity pre-processing and coding two pipeline stages. This method equals each stage’s delay and decreases the coding waiting period. Additionally, the structure employs polarity pre-processing to optimize the critical delay paths into multi-stage heterodyne gates in series. Therefore, the effect of the number of input bytes on the critical delay path can be significantly reduced. The effectiveness of our proposed encoder is demonstrated to encode 4-byte loads by VCS simulation and synthesized using Synopsys’ Design Compiler tool upon the SMIC 65nm process. Results show that a high operating frequency of 909MHz with a 2245.68µm2 footprint area can be achieved. Compared with the cascaded and polarity-selective structures, the proposed framework has advantages in terms of speed and resource usage. These advantages greatly help to meet the high-speed transmission requirement.
Simulation study on the trajectory planning of table tennis robot arm by applying polynomial interpolation algorithm
Authors: Qiang Xugui , Wen Wangde
Published: March 2023

As the table tennis robotic arm is operated, it is easy to have problems such as discontinuity and instability, which lead to a decrease in work efficiency and thus increase the maintenance cost of the machine. Therefore, to improve the stability of the robotic arm, the study constructs the relationship model of the robotic arm linkage of the table tennis robotic arm and solves such difficulties by using a 4-5-4 polynomial interpolation algorithm. The experimental results show that, compared with the traditional 3-5-3 polynomial interpolation algorithm, the 4-5-4 polynomial interpolation is used to achieve continuous and smooth changes of angular displacement, angular velocity, angular acceleration, and torque of the robot, and there is no abrupt change. The 4-5-4 polynomial interpolation algorithm is used to achieve the stability of the robot and smooth operation of the robot arm.
Deep Learning-based Defect Detection Method for Textile Materials
Authors: Yuan Minghang , Gu Juanjuan , Xu Wenwen , Zhao Yao
Published: March 2023

Knitted fabric defect detection is an engineering application based on artificial intelligence and machine vision. This paper introduces the core technologies of fabric defect detection and briefly analyzes and compares them. An attempt is made to design a system for image pre-processing and seam detection using image processing techniques. And experiments on system construction, image pre-processing, image detection and segmentation, and feature extraction are carried out.
Electrical Appliance Recognition Algorithm Based on Neural Network and Kernel Density Estimation
Authors: Zheng Huatong , Liu Yufeng , Zhou Lei
Published: March 2023

With the rapid development of the social economy, the need for social intelligent transformation is increasingly urgent. In order to identify the electrical equipment quickly and accurately and reduce the false recognition rate, we propose a new identification algorithm, which uses the neural network model to pre-identify the connected electrical equipment and then conducts a secondary test through the kernel density estimation model. The experimental results show that the algorithm has a high recognition rate for the trained model and, at the same time, solves the misrecognition problem of the new electrical appliance neural network model in the production environment.
Estimation of State of Charge and State of Health of Marine Lithium Battery based on BP Neural Network
Authors: Zhang Yueying , Guo Yi
Published: March 2023

For the sake of better ensure the safety of a marine system reliability, economy, and power, on the basis of marine lithium battery discharge data, BP neural network is able to grasp the state of charge and health in this battery module. Owing to some stochastic factors of BP neural network weights and limens, the error fluctuates greatly, so a genetic algorithm is lead into improve its results. The improved GA-BP algorithm reduces the error of SOC estimation from 4.2% to 2.3% and of SOH from 0.52% to 0.24%. It indicates that the GA-BP neural network method for forecasting SOC and SOH of the marine battery management system has minor errors and high stability, which is feasible.
High Concurrency Response Strategy based on Kubernetes Horizontal Pod Autoscaler
Authors: Huo Qizheng , Li Chengyang , Li Shaonan , Xie Yongqiang , Li Zhongbo
Published: March 2023

The automatic scaling of resources in the cluster can reduce costs while satisfying resource usage. This is one of the salient features of cloud computing. The current service scenarios are diverse, and the default policy of Horizontal Pod Autoscaling (HPA) is difficult to meet the demand. In the face of high concurrent traffic, the default strategy has the problem of long expansion time and slow speed. Based on HPA, this paper proposes the High Concurrency Response Strategy. It can cope with high concurrency usage scenarios and ensure that services can still be accessed in the face of large traffic concurrency. Compared with the default HPA, the customized HPA strategy reduces the number of service requests by over 20 ms or 19%.
Adaptive Adjustment of Factor’s Weight for a Multi-Sensor SLAM
Authors: Zhu Zihan , Zhang Yi , Wang Weijun , Feng Wei , Luo Haowen , Zhang Yaojie
Published: March 2023

A multi-sensor fusion simultaneous localization and mapping(SLAM) method based on factor graph optimization that can adaptively modify the weight of the graph factor is proposed in this study, to enhance the localization and mapping capability of autonomous robots in tough situations. Firstly, the algorithm fuses multi-lines lidar, monocular camera, and inertial measurement unit(IMU) in the odometry. Second, the factor graph is constructed using lidar and visual odometry as the unary edge and binary edge constraints, respectively, with the motion determined by IMU odometry serving as the primary odometry in the system. Finally, different increments of IMU odometry, lidar odometry and visual odometry are computed as favor factors to realize the adaptive adjustment of the factor’s weight. The suggested method has greater location accuracy and a better mapping effect in complex situations when compared to previous algorithms.
A study of lateral trajectory tracking control under fused slip rate and road random inputs
Authors: Lu Peng , Zhou Yunbo , Zhang Ming
Published: March 2023

To improve the maneuvering stability of uncrewed armored vehicles during emergency steering and obstacle avoidance under high-speed driving conditions in off-road undulating terrain, in this paper, we establish a 7DOF dynamics model based on the time-varying trajectory curvature for the lateral and vertical motion of the spring-loaded mass and the vertical jump of the unsprung mass. Also, we consider two slip motion states with tires in the linear zone and tire slip nonlinear zone based on the Dugoff model and use trip and non-trip rollover under random road input as rollover warning constraint, and conduct flat road DLC test, 20° side slope test, JLTV twisted road respectively by Carsim-Simulink jointly according to NATO double shift line test standard. The improved LTV-MPC algorithm solves the optimal tracking control sequences of 2DOF and 7DOF kinetic models, and the trajectory tracking is completed, compared, and analyzed.
The characteristic of East Kalimantan’s low-rank coal as an adsorbent for Methylene Blue (MB) dye removal from simulated textile wastewater
Authors: Patmawati Y , Shreeshivadasan C
Published: March 2023

As the interest in developing and applying low-cost adsorbents is growing, the purpose of this paper is to introduce East Kalimantan’s low-rank coal as an adsorbent that is abundant in nature but underutilized. This adsorbent was used in a batch adsorption process to remove Methylene Blue (MB) from simulated textile wastewater. The study was conducted at a range of pH values (from 3 to 13) using a variety of low-rank coal adsorbents (60, 80, 100, 120, 140, and 160 mg). Approximately 100 mg/L of MB was added to 100 mL of simulated textile wastewater over 60 minutes using a shaker set to 150 rpm. The pH value and the amount of adsorbent used have a significant effect on removing MB dye. The pH results indicated that the removal of MB dye is relatively constant between pH 3 and 11. However, the removal rate increased when the pH was increased to 12—increased the pH to 13, which resulted in a significant decrease in MB dye removal. Meanwhile, as the adsorbent dosage increased from 60 to 100 mg at pH 12, the removal of MB dye increased and then decreased. At pH 12 and adsorbent dosage of 100 mg, the maximum removal of MB dye was 99.40 %. Thus, East Kalimantan’s low-rank coal is an intriguing alternative for removing MB dye from simulated textile wastewater.
Effect of trace rare earth elements (Ce) on corrosion resistance of high strength steel used for offshore platform
Authors: Xiaoyu Zhang , Ruifeng Dong , Bo Gao , Jiquan Chen , Zhipeng Mu , Weizhe Zhang , Xiong Yang
Published: March 2023

In this study, a high-strength, offshore platform steel, EH420, was used as the original steel. By observing the original austenite morphology, the corrosion resistance of three experimental steels with different rare Earth contents in a simulated marine splash zone was compared and studied using cyclic immersion corrosion and electrochemical corrosion tests. The macro- and micromorphologies of three experimental steels in different cycles of corrosion, as well as the composition of rust layers, were observed and studied by employing an optical microscope, scanning electron microscope (SEM) and X-ray diffraction (XRD). The crystal microstructure of the three experimental of steels was analyzed by EBSD, and the electrochemical behavior of the three experimental of steels after corrosion was analyzed by electrochemical polarization curve and electrochemical impedance spectroscopy. The results show that the trace additions of Ce ( less than 20ppm ) in the steel can refine the grain size, reduce the grain boundary energy, promote the formation of the protective phase α-FeOOH and Fe3O4 of the rust layer, improve the compactness of the rust layer, and reduce the corrosion rate. In addition, the charge transfer resistance ( Rct ) and open circuit potential are increased, and the corrosion current density is reduced. Moreover, the higher the content of Ce is added in the steel, the more obvious its effect.Therefore, the trace additions of Ce improves the corrosion resistance of high strength offshore platform steel.
Lossy SU(1,1) interferometers in the single-photon-pair regime
Authors: Santandrea Matteo , Luo Kai-Hong , Stefszky Michael , Sperling Jan , Herrmann Harald , Brecht Benjamin , Silberhorn Christine
Published: March 2023

The success of quantum technologies is intimately connected to the possibility of using them in real-world applications. This requires the system to be comprehensively modeled including various relevant experimental parameters. To this aim, in this paper, we study the performance of lossy SU(1,1) interferometers in the single-photon pair regime, posing particular attention to the different amount of information contained in the measurement of single counts and of coincidences at the output of the interferometer. To this aim, we derive the classical Fisher information (FI) of both single and coincidence events, and study it as a function of the internal and external losses of the system. Our analysis shows that, in the absence of external losses, the FI of the coincidence events is always higher or equal than the one of single events. On the other hand, in the presence of external losses, the FI of the singles can increase above the one of the coincidences. Moreover, our analysis shows that coincidence measurement can be exploited to partially mitigate the effect of internal losses in the absence of external losses. Finally, comparing SU(1,1) and classical SU(2) interferometers, we find that the former can outperform the classical systems when the internal losses are above 50%.
Preclinical evaluation of ISH0339, a tetravalent broadly neutralizing bispecific antibody against SARS-CoV-2 with long-term protection
Authors: Yang Huabing , Chen Yuxin , Jiang Dongcheng , Feng Xiaoli , Xu Ying , Wei Jiayu , Zou Qingcui , Yang Qiaojiang , Chen Jihong , Jiang Xiaoling , Qin Chunling , Huang Zhenzhen , Wu Chongbing , Zhou Ying , Li Minghua , Yin Liusong
Published: March 2023

Background: Ending the global COVID-19 pandemic requires efficacious therapies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Nevertheless, the emerging Omicron sublineages largely escaped the neutralization of current authorized monoclonal antibody therapies. Here we report a tetravalent bispecific antibody ISH0339, as a potential candidate for long-term and broad protection against COVID-19.

Methods: We report here the making of ISH0339, a novel tetravalent bispecific antibody composed of a pair of non-competing neutralizing antibodies that binds specifically to two different neutralizing epitopes of SARS-CoV-2 receptor-binding domain (RBD) and contains an engineered Fc region for prolonged antibody half-life. We describe the preclinical characterization of ISH0339 and discuss its potential as a novel agent for both prophylactic and therapeutic purposes against SARS-CoV-2 infection.

Results: ISH0339 bound to SARS-CoV-2 RBD specifically with high affinity and potently blocked the binding of RBD to the host receptor hACE2. ISH0339 demonstrated greater binding, blocking and neutralizing efficiency than its parental monoclonal antibodies, and retained neutralizing ability to all tested SARS-CoV-2 variants of concern. Single dosing of ISH0339 showed potent neutralizing activity for treatment via intravenous injection and for prophylaxis via nasal spray. Preclinical studies following single dosing of ISH0339 showed favorable pharmacokinetics and well-tolerated toxicology profile.

Conclusion: ISH0339 has demonstrated a favorable safety profile and potent anti-SARS-CoV-2 activities against all current variants of concern. Furthermore, prophylactic and therapeutic application of ISH0339 significantly reduced the viral titer in lungs. Investigational New Drug studies to evaluate the safety, tolerability and preliminary efficacy of ISH0339 for both prophylactic and therapeutic purposes against SARS-CoV-2 infection have been filed.
Evaluation of the Rapid Quidel Sofia 2 Lyme Immunoassay as a First-Tier Test in a Two-Tier Testing Algorithm for Lyme Disease: Comparison to the Zeus ELISA Borrelia VlsE1/pepC10 IgG/IgM Assay Followed by Immunoblot
Authors: Lewandrowski Elizabeth Lee , Branda John A , Lewandrowski Kent , Turbett Sarah
Published: March 2023

Objectives

Two-tiered serologic testing for Lyme disease is usually performed using an enzyme-linked immunosorbent assay (ELISA) as the first-tier test. The Quidel Sofia 2 Lyme test is a relatively new lateral flow method to provide more rapid turnaround time. We evaluated its performance in comparison to an established ELISA method. The test can be performed on demand rather than batching assays in a central laboratory.

Methods

We compared the Sofia 2 assay to the Zeus VlsE1/pepC10 IgG/IgM test in a standard two-tiered testing algorithm.

Results

Comparison of the Sofia 2 to the Zeus VlsE1/pepC10 IgG/IgM showed an overall agreement of 89.9% (κ statistic of 0.750, indicating “substantial agreement”). When the tests were followed by immunoblot in a two-tier algorithm, the agreement was 98.9% (κ statistic of 0.973, indicating “almost perfect” agreement).

Conclusions

The Sofia 2 Lyme test performs well when compared with the Zeus VlsE1/pepC10 IgG/IgM in a two-tiered testing algorithm.
8(R)-Hydroxyeicosapentaenoic acid (8R-HEPE) induces transcription of cholesterol efflux receptors via activation of liver X receptor in macrophages
Authors: Yamada Hidetoshi , Uemura Aiko , Miyasaka Raimu
Published: March 2023

Dyslipidemia is a risk factor for the development of atherosclerotic cardiovascular disease. 8-Hydroxyeicosapentaenoic acid (8-HEPE) from North Pacific krill (Euphausia pacifica) is known to reduce plasma low-density lipoprotein (LDL) cholesterol levels and increase plasma high-density lipoprotein cholesterol levels in LDL receptor knock-out mice fed a western diet. Moreover, 8-HEPE also reduces the area of aortic atherosclerosis in apoE knock-out mice fed the same diet. In this study, we examined the stereochemical-specific activity of 8-HEPE for inducing expression of cholesterol efflux receptors (Abca1 and Abcg1) in J774.1 cells. Our findings show 8R-HEPE induces the expression of Abca1 and Abcg1 via activation of liver X receptor, whereas 8S-HEPE elicits no such activity. These results suggest that 8R-HEPE derived from North Pacific krill may have beneficial effects against dyslipidemia.
promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling
Authors: Ranathunge Chathurani , Patel Sagar S , Pinky Lubna , Correll Vanessa L , Chen Shimin , Semmes O John , Armstrong Robert K , Combs C Donald , Nyalwidhe Julius O
Published: March 2023

We present promor, a comprehensive, user-friendly R package that streamlines label-free quantification proteomics data analysis and building machine learning-based predictive models with top protein candidates.

Availability and implementation

promor is freely available as an open source R package on the Comprehensive R Archive Network (CRAN) (https://CRAN.R-project.org/package=promor) and distributed under the Lesser General Public License (version 2.1 or later). Development version of promor is maintained on GitHub (https://github.com/caranathunge/promor) and additional documentation and tutorials are provided on the package website (https://caranathunge.github.io/promor/).

Supplementary information

Supplementary data are available at Bioinformatics Advances online.
The hypokalaemia that came from the cold
Authors: Elsayed Mohamed E , Schick Benedikt , Woywodt Alexander , Palmer Biff F
Published: March 2023

While electrolyte disorders are common in nephrologists’ clinical practice, hypothermia is a condition that nephrologists rarely encounter. Hypothermia can induce several pathophysiological effects on the human body, including hypokalaemia, which is reversible with rewarming. Despite growing evidence from animal research and human studies, the underlying mechanisms of hypothermia-induced hypokalaemia remain unclear. Boubes and colleagues recently presented a case series of hypokalaemia during hypothermia and rewarming, proposing a novel hypothesis for the underlying mechanisms. In this editorial, we review the current knowledge about hypothermia and associated electrolyte changes with insights into the effects of hypothermia on renal physiology.
Ransomware Detection by Distinguishing API Call Sequences through LSTM and BERT Models
Authors: Lin Tu-Liang , Chang Hong-Yi , Chiang Yuan-Yao , Lin Shu-Cheng , Yang Tsung-Yen , Zhuang Chun-Jun , Tseng Wha-Lee , Zhang Bo-Hao
Published: March 2023

Nowadays, ransomware evolved rapidly and the prevention of ransomware has become an important issue. The threat of ransomware is much more sophisticated than before for governments and enterprises; breaches or corruption of sensitive data will cause huge impact on the organization. Early detection is one of the effective method to prevent the ransomware attack. Modern ransomware detection technologies can be divided into two categories: static analysis and dynamic analysis. Dynamic analysis observes the behavior of the running program. Previous research adopted machine learning approach for dynamic analysis and API sequence dataset were used to trained machine learning models for dynamic analysis. In this research, we collected the API calls of the ransomware from reports generated by Cuckoo Sandbox and proposed two detecting models using BERT and LSTM. The result shows that both BERT and LSTM models can successfully predict ransomware with 95% high accuracy. We aimed to compare the performance of two text-based learning model, LSTM and BERT, and analyze the pros and cons. The result shows that API sequence data can be used to train effective ransomware detection models in text-based manner.