bluuebunny/crossref_metadata_2025_split huggingface dataset:
Micromagnetic stimulation (µMS) dose-response of the rat sciatic nerve
Authors: Saha Renata , Sanger Zachary , Bloom Robert P , Benally Onri J , Wu Kai , Tonini Denis , Low Walter C , Keirstead Susan A , Netoff Theoden I , Wang Jian-Ping 
Published: May 2023

Abstract

Objective. The objective of this study was to investigate the effects of micromagnetic stimuli strength and frequency from the Magnetic Pen (MagPen) on the rat right sciatic nerve. The nerve’s response was measured by recording muscle activity and movement of the right hind limb. Approach. The MagPen was custom-built to be stably held over the sciatic nerve. Rat leg muscle twitches were captured on video, and movements were extracted using image processing algorithms. EMG recordings were also used to measure muscle activity. Main results. The MagPen prototype, when driven by an alternating current, generates a time-varying magnetic field, which, according to Faraday’s law of electromagnetic induction, induces an electric field for neuromodulation. The orientation-dependent spatial contour maps of the induced electric field from the MagPen prototype have been numerically simulated. Furthermore, in this in vivo work on µMS, a dose-response relationship has been reported by experimentally studying how varying the amplitude (Range: 25 mV
p-p through 6 V
p-p) and frequency (range: 100 Hz through 5 kHz) of the MagPen stimuli alters hind limb movement. The primary highlight of this dose-response relationship (repeated over n rats, where n = 7) is that for a µMS stimuli of higher frequency, significantly smaller amplitudes can trigger hind limb muscle twitch. This frequency-dependent activation can be justified by Faraday’s Law, which states that the magnitude of the induced electric field is directly proportional to the frequency. Significance. This work reports that µMS can successfully activate the sciatic nerve in a dose-dependent manner. The impact of this dose-response curve addresses the controversy in this research community about whether the stimulation from these μcoils arise from a thermal effect or micromagnetic stimulation. MagPen probes do not have a direct electrochemical interface with tissue and therefore do not experience electrode degradation, biofouling, and irreversible redox reactions like traditional direct contact electrodes. Magnetic fields from the μcoils create more precise activation than electrodes because they apply more focused and localized stimulation. Finally, unique features of µMS, such as the orientation dependence, directionality, and spatial specificity, have been discussed.
Bohm sheath criterion associated with magnetized collisional warm plasma containing secondary electrons and negative ions
Authors: Jha Y P , Kumar M , Malik H K 
Published: May 2023

Abstract
Using Sagdeev potential approach the modified Bohm’s criterion is evaluated for the magnetized electronegative warm plasma containing secondary electrons. Dependency of Bohm velocity on secondary electrons, inclination angle of magnetic field, collisionality, electronegativity and temperature ratio (electron to positive ions) are examined. Bohm’s velocity is found to be independent on the magnitude of the magnetic field but depends on its incidence angle. As the angle increases the velocity at the edge of sheath gets reduced.
A comparison between steepest descent and non-linear conjugate gradient algorithms for binding energy minimization of organic molecules
Authors: Akshaya J , Rahul G , Rishi Karthigayan S , Rishekesan S V , Harischander A , Sachin Kumar S , Soman KP 
Published: May 2023

Abstract
The main intention of optimization is to bring about the “best” of any model by prioritizing the needs along with a given set of constraints. There is a wide range of optimization problems, among which, unfortunately, the problems that are formulated from nature are not convex in nature. Solving non-convex optimization problems are quite trickier than the conventional method of derivatives. One such problem is Computing the minimum value of binding free energy of various molecules. Minimization of free energy of a molecule is highly significant in the field of Molecular mechanics which is the foundation of computational biology. For any molecule, free energy refers to the amount of energy needed to separate an individual particle from a system of particles or to disseminate all particles in a system. The significance of free energy is that it can be used to compute the lowest energy conformation, which corresponds to the least Steric energy. Hence, this paper aims at computing the minimum value of binding free energy of various organic molecules in isolated conditions using the steepest descent algorithm and conjugate gradient algorithm and comparing them.
Triple band terahertz metamaterial absorber within (0.4-0.46thz) frequency range
Authors: Elakkiya A , Nath Srigitha S 
Published: May 2023

Abstract
An ultrathin Terahertz Triple-band ideal meta material absorber with a brand-new design that is straightforward has been presented. The suggested terahertz meta material absorber has a unit cell that is made up of two D-shaped resonators with slots and a ground metallic plane. These elements are separated from one another by a polyimide dielectric substrate that has a thickness of 500 micrometers. The absorber construction that has been presented provides three distinct absorption peaks within the narrow frequency range of (0.4-0.46 THz) without producing any interference. In order to get a deeper comprehension of the mechanism behind the absorption process, an investigation into the electric field, the magnetic field, the surface current distribution, and the independence of the polarization angle has been carried out. It is anticipated that the configuration of the terahertz absorber that has been described would find use in applications relating to the lowering of radar cross-section, detection, imaging, and sensing. One of the contributions of this study is the description of a downsized and compact triple-band terahertz meta material absorber. In order to generate the unit cell of a terahertz absorber, an identical I-typed resonator, which is represented by a rectangular patch with two very small notches, is first deposited on top of a dielectric sheet and then a metallic mirror. The terahertz regime reveals three distinct frequency spots, and the design of the very small structure allows for virtually full absorption of all of them.
Effect of Al2O3 filler in GFRP/banana fiber composite for CNC vertical milling
Authors: Surya Kumar K , Anbuchezhiyan G 
Published: May 2023

Abstract
This study examines the drilling characteristics on GFRP/Banana fiber composite without and with use of Al2O3 filler used in fabrication. of an epoxy-based glass fiber reinforced polymer with and without filler made of banana fiber and aluminum oxide powder. hand layup technique employed in fabricating Three kinds of polymer composites. Pre-test G power for testing was set at 80%, Alpha was set at 0.05%, and CL was set at 95%. This number of samples for each group was then determined. Three groups of nine samples each are used to experiment at CNC and MRR performance evaluated. Controlled variables were feed, drill diameter and spindle speed. The test findings were examined and contrasted using a one-way ANOVA test. The end outcome is MRR. To compare the rates of samples with and without fillers, test data were employed. Software called SPSS V16 was used to determine how significant the results were. A significant level of p0.05 was obtained from the statistical value analysis. The machinability of proposed composite is found good in terms of MRR. That MRR 9.89% fpund excess than machining of plain GFRP. In a similar vein, it was discovered that machining of alkaline-treated glass fiber/banana fibre composite found increase of 14.99% than plain GFRP laminate.
Influence of austempering temperature on carbide free bainite development, a critical review
Authors: Kumar Rajan , Tripathi Ajay , Dwivedi Ravi Kumar , Arya Ranjeet Kumar , Yadav Anil Singh , Agarwal Anupma 
Published: May 2023

Abstract
In this review paper, it is well established that high carbon high silicon steels on austempering result in carbide free bainite (CFB) which exhibits enhanced mechanical and tribological properties without adding any heavy alloying elements. Most of the research has been pointed out regarding the improvement of CFB steels that consists of the fine structure of bainitic ferrite laths and retained austenite (RA). In some cases, it was observed that the tensile strength of CFB steels was found similar to the commercial quenched and tempered steel alloys. Regarding other properties, it is estimated that out of the various failures that take place due to wear, 50% are caused by abrasive wear. To improve the lifetime of components, the selection of material and optimized processing techniques plays a pivotal role.
Turbulent natural convection heat transfer enhancement of nanofluids
Authors: Prakash R , Kamatchi R , Selvam R , Devanathan C 
Published: May 2023

Abstract
This study investigates the enhancement of heat transfer for the fluid with the addition of nano-particles in a two-dimensional rectangular cavity. Thermo-physical properties of such fluids and volume fraction of nano-particles in those fluids and its heat transfer characteristics are studied. ANSYS Fluent code is utilized for this purpose. Validation of the computational model has been carried out against the benchmark data available from the literature. A heat transfer correlation in terms of the Nusselt number (Nu) average as a function of Grashoff number and volume fraction of the nano-particles in the base fluid for the turbulent flow is developed and formulated in this study.
Modeling of process parameters on DSS 2205 through RSM, ANN, fuzzy under cryo-MQL process
Authors: Sharma Rajeev , Kumar Jha Binit , Pahuja Vipin 
Published: May 2023

Abstract
Duplex stainless steel (DSS) 2205 is considered difficult to cut machine materials. Therefore, an advanced cooling technique, such as a hybrid Liquid carbon dioxide (LCO2)-Minimum quantity of lubrication (MQL) approach, is proposed for drilling duplex stainless steel 2205. In this research study, parametric optimization was performed by using the Response surface method (RSM) with the box-Behnken design of the matrix. For parametric optimization, select three input parameters: drill diameter, spindle speed, and feed rate, while hole deviation and cylindricity error are output responses. The Analysis of variances (ANOVA) test showed that spindle speed is the major factor that influences both responses, e.g., hole deviation and cylindricity error, with contributions of 38.90% and 59.42%, respectively. The modeling and predictive abilities of developed Fuzzy logic system (FLS) and Artificial neural network (ANN) to the comparison of experimental results. It was also found that the predicted values from regression analysis, artificial neural networks, fuzzy logic interfaces, and the proposed method were in good agreement with actual experiment results. Also, the Artificial neural network model provides a minimum % of error of 1.36% and 2.44 %, respectively responses compared to other models.
Graphene based rectangular microstrip patch antenna for UWB applications
Authors: Asha S , Shanthy KR , Krishna Kumari S 
Published: May 2023

Abstract
According to the findings of the article, researchers looked at graphene-based hexagonal microstrip patch antennas. In place of a U-shaped slot and an elliptical slot, an ellipse-shaped slot was cut into the surface of the hexagonal radiators that were used in the designs that were recommended. This helped to improve the radiation performance of the radiators. A frequency known as ultra-wideband (UWB) is used in the modelling process for the anticipated structures. Through the use of comparative studies, an investigation into the effect of U-shaped and elliptical-shaped slots on the radiation performance of proposed graphene antenna designs has been carried out. The use of ellipsoidal slot-loaded structures results in considerable enhancements and advancements in directivity. The impedance bandwidths for S11 antennas with a gain of 10 dB range from 0.68 to 1.63 terahertz for U-shaped and elliptical-shaped slot loaded hexagonal printed antennas, respectively. Extensive research is presented for the various characteristics of the proposed THz antenna types. The designs that were offered provide excellent impedance matching over the full operating range. This is made possible by the high reflection and VSWR values that they possess. The cutting-edge antenna design may be used for spectrum imaging, the detection of explosives, medical diagnostics, radio transmission, and the monitoring of the weather.
Weather forecast and its visualization
Authors: Ravindhar NV , Mahananda Reddy A , Sujith Reddy D , Mohan Gaddam 
Published: May 2023

Abstract
We have built a weather app take the current location using latitude & longitude and sends this information to the API next it gets the temperature of popular areas along with the latitude & longitude of them, then recommends the coolest area near user and shows the temperature of the user location. To get the location of the user we have used location listener. The current location of the user is fetched through location listener and data is arranged into an array list. Async Task is a method which is used to access the data at any time required and the task is ran continuously in back ground. A Weather API is used to fetch the current temperature of the popular areas within the radius of 150 km then the data is stored into an array list. From the array lists the data is assigned by a temporary variable to get the minimum temperature and the area. The outcome of the app is in format of suggestion of area with minimum temperature and current location temperature.
A smart IOT based black-box system for automobiles
Authors: Vanitha M , Arunkumar K , Hemamalini A , Yaswanth Alam 
Published: May 2023

Abstract
The combination of computer technology and cars has resulted in the creation of a new level of knowledge services in vehicles. The capabilities that the car recorder has are quite similar to those of a heavier-than-aircraft recorder. It is used to study the causes of automobile accidents and to avoid the loss of life and property that occurs from the collisions. In this study, a paradigm for an associate Automobile Recording System that will be installed inside automobiles is proposed. The purpose of the system is to conduct an investigation into the occurrence of accidents by searching for the reason in an objective manner and monitoring what takes place within the cars. The method also includes enhancing safety by prohibiting tampering with the recorder’s information in order to make it more foolproof. The Arduino controllers are used in order to control the various sensors. The primary objective of this study is to design a model for the recorder system that can be installed into any vehicle, located anywhere in the world. This paradigm is often conceived using the smallest possible range of circuits. This leads to the development of safer cars, improved care for accident survivors, assistance to insurance companies for auto crash reports, and improved traffic safety on roads, all of which contribute to a lower death rate. Additionally, this helps improve traffic safety on roads, which also contributes to improved road safety.
Manufacturing of non-threaded fasteners: an analysis of non-conformities during manufacturing process and abatement
Authors: Chauhan Premanand S , Sen Mayur , Agarwal Anupma 
Published: May 2023

Abstract
This article projects the systematic approach for reducing the rejection during manufacturing of non-threaded fasteners i.e., Dowel Pin by Basic Quality tools. It includes the systematic study of the manufacturing process of non-threaded fastener and its inspection at different stages of manufacturing. The analysis of Dowel Pin’s manufacturing process has been taken place at industry A and modification in the process, drawing and work holding device of the Machine Tool have been done. After implementation of the modifications in the manufacturing process, the desired results have been achieved. The improvement has been visualized in the results.
Optimizing the computational effort of satellite signal acquisition based on mean recognition convolutional neural network
Authors: Duan Lei , Li Chuanjun , Zhang Qingpu 
Published: May 2023

Abstract
The ability to synchronize the satellite signals affects the navigation performance. Only after a procedure of acquisition, namely coarse synchronization, the data information needed to position can be extracted from the satellite signals. Conventional acquisition methods rely on extending the signal integration time to improve the correlation quality of the signal. However, extending the coherent integration time results in a large computational burden, which is unrealistic for civilian receivers. In this paper, we try to optimize the computational effort in the satellite navigation signal acquisition phase and propose an algorithm based on the mean value recognition convolutional neural network. The matrix with a high mean value is separated by the convolutional neural network, and then the Doppler shift and code phase from the matrix with a high mean value is introduced, which can effectively change the computation to 1/4338 of the original one. The trained model of the neural network can be embedded into the receiver directly, which has important engineering applications.
Adaptive density peak clustering algorithm combined with sparse search
Authors: Ma Weiyuan , Duan Baobin , Wei Ping 
Published: May 2023

Abstract
With the advantages of few parameters and the ability to deal with clusters of arbitrary shape, the density peak clustering algorithm has attracted wide attention since it came out. However, the algorithm has problems such as high time complexity, poor clustering effect on complex data sets, and the need to manually select cluster centers. Aiming at the above shortcomings, an improved density peak clustering algorithm is proposed. Combined with the sparse search algorithm, the calculation of the similarity between each point and its nearest neighbor is simplified, and the problem of the high time complexity of the algorithm is overcome. A new local density definition method is adopted to make the density of data points better reflect the spatial structure of data distribution and to improve the clustering accuracy of the algorithm. Finally, a strategy for automatically selecting cluster centers is proposed to improve the adaptability of the algorithm. The algorithm is used to compare with the other improved algorithm on artificial data sets and real data sets. The experimental results show that the proposed algorithm can show a better clustering effect and can quickly and accurately identify various complex clusters.
Traffic flow prediction model based on gated graph convolution with attention
Authors: Lei Yi , Liu Mingsheng , Xie Yunchi , Nie Xuefang 
Published: May 2023

Abstract
As a significant part, flow forecasting is crucial to road planning, traffic control, and planning. Aiming at the problem of insufficient dependence of traffic prediction methods, we proposes an Attention-based Gating mechanism Graph Convolution Network (AGGCN). Firstly, it constructures traffic flow data and adjacency matrix based on the graph data construction method. Secondly, it utilized the diffusion graph convolution method to model the traffic flow in the traffic road network. Finally, the attention mechanism to predict the traffic flow. The experiments were carried out on two highway datasets PeMS04 and PeMS08 in California, USA. Compared with the 7 commonly used algorithms in traffic flow prediction, the MAE, MAPE, and RMSE of the AGGCN model are better than other baseline experiments.
Simulation and Experiment of Cardiopulmonary Resuscitation Robot
Authors: Zou Xianghua , Li Bin , Wang Cong , Chang Jian , Li Yanbin 
Published: May 2023

Abstract
Aiming at the emergence of patients with outdoor cardiac arrest, to strive for more golden rescue time, a robot suitable for the rescue of patients with outdoor cardiac arrest is proposed. Combined with the medical research on the human thorax, the dynamic model of the human thorax is established, the kinematics and dynamics of the end effector mechanism are analyzed, and the robot is simulated for cardiopulmonary resuscitation in the human thorax with Adams software. The relationship between the stroke, speed, acceleration, driving torque, and time of the end effector is obtained. Second, the dynamic formula theory is simulated with Matlab software. The difference between the theoretical driving torque and the simulation driving torque is 5.2% and 2.3% respectively. Finally, the feasibility of the CPR operation of the robot is preliminarily verified through experiments.
Research on Control Theory System Based on Computer Artificial Intelligence Technology
Authors: Ke Qian 
Published: May 2023

Abstract
This paper designs a temperature control system. AT90S8535 is a kind of excellent performance and has the development potential of microcontrollers. In this paper, the artificial intelligence algorithm and PID adaptive algorithm are used to optimize the system control process. Fuzzy rules are used to adjust PID in the control system. Control parameters can be set automatically. This new algorithm can eliminate the phenomenon of PID saturation integral and improve the response speed while reducing overshoot. The system is stable, reliable, and easy to install. It can effectively realize remote temperature acquisition and control with low cost and low power consumption of terminal nodes. The system achieves the purpose of safe and reliable data transmission.
High resolution metrology of autoionizing states through Raman interferences
Authors: Plunkett A. , Wood J. K. , Alarcón M. A. , Biswas D. , Greene C. H. , Sandhu A. 
Published: May 2023

Abstract
Metrology of electron wavepackets is often conducted with the technique of photoelectron interferometry. However, the ultrashort light pulses employed in this method place a limit on the energy resolution. Here, weadvance ultrafast photoelectron interferometry access both high temporal and spectral resolution. The key to our approach lies in stimulating Raman interferences with a probe pulse and while monitoring the modification of the autoionizing electron yield in a separate delayed detection step. As a proof of the principle, we demonstrated this technique to obtain the components of an autoionizing nf′ wavepacket between the spin-orbit split ionization thresholds in argon. We extracted the amplitudes and phases from the interferogram and compared the experimental results with second-order perturbation theory calculations. This high resolution probing and metrology of electron dynamics opens the path for study of molecular wavepackets.
Two-photon absorption in La0.05Gd0.95VO4 crystal at 523 nm under irradiation with picosecond pulses
Authors: Chunaev D S , Kravtsov S B , Zverev P G 
Published: May 2023

Abstract
Two-photon absorption (TPA) in La0.05Gd0.95VO4 crystal under irradiation with picosecond laser pulses with the duration of 25 ps at the wavelength of 523.5 nm has been investigated. The TPA coefficient was measured to be 0.074 cm/GW. We found that the two-photon inter-band excitation led to the creation of optical centers, which were characterized by a wide absorption band in the visible spectral region. The decay of the induced absorption is characterized by two temporal stages. The first rapid stage has the decay time of about 70 μs. However, the slow stage is characterized by a decay time ranging from 270 to 520 ms depending on the initial concentration of the induced optical centers. Induced absorption should be taken into account when developing vanadate lasers with intra-cavity second harmonic converters.