bluuebunny/crossref_metadata_2025_split huggingface dataset:
Variational calculation of the lowest exciton states in phosphorene and transition metal dichalcogenides
Authors: Gomes José Nuno S , Trallero-Giner Carlos , Vasilevskiy Mikhail I 
Published: July 2021

Abstract
Several transition metal dichalcogenides (TMDs) can be exfoliated to produce nearly two-dimensional (2D) semiconductor layers supporting robust excitons with non-hydrogenic Rydberg series of states. Black phosphorus (BP) can also be layered to create a nearly 2D material with interesting properties including its pronounced in-plane anisotropy that influences, in particular, exciton states making them different from those in other 2D semiconductors. We apply the Rayleigh–Ritz variational method to evaluate the energies and approximate the wavefunctions of the ground and lowest excited states of the exciton in a 2D semiconductor with anisotropic effective masses of electrons and holes. The electron–hole interaction is described by the Rytova–Keldysh potential, which is considered beyond the standard zero-thickness approximation. The exciton binding energies calculated for BP and TMD (molybdenum disulphide and tungsten disulphide) monolayers are compared with previously published data.
Developing a multilateral-based neural network model for engineering of high entropy amorphous alloys
Authors: Chen Tzu-Chia , Elveny Marischa , Surendar Aravindhan , Lawal Adedoyin Isola , Zekiy Angelina Olegovna , Anzum Rabeya 
Published: July 2021

Abstract
Due to a great number of composition-processing factors, it is very difficult to design high entropy amorphous alloys without performing manifold trial-and-error experimentations. To solve this problem, in this study we developed a machine learning-based approach, namely multilateral-based neural network, which is able to predict new high entropy amorphous compositions through estimating the highest glass forming ability and the critical casting thickness. In this approach, the entropy parameters were individually correlated to each input, which leads to the improvement of predictive model in evaluating the high entropy glassy alloys. As a case study, Ti20Zr20Hf20Be20Co20 high entropy metallic glass (MG) was considered and the effects of added elements such as Y, Ni, Cr and V and Cu on the glass formation and critical casting thickness were investigated. According to the results, it is determined that the Y addition acts as a microalloying process in the base composition, while other elements improve the configurational entropy and the total negative heat of mixing, which lead to the engineering of equi-atomic high entropy MGs.
Fast MPI reconstruction with non-smooth priors by stochastic optimization and data-driven splitting
Authors: Zdun Lena , Brandt Christina 
Published: July 2021

Abstract
Magnetic particle images are currently most often reconstructed using classical Tikhonov regularization (i.e. an ℓ
2 regularization term) combined with Kaczmarz method. Quality enhancing choices like sparsity promoting ℓ
1-regularization or TV regularization lead to problems that cannot be solved by standard Kaczmarz method. We propose to use stochastic primal-dual hybrid gradient method to gain more flexibility concerning the choice of data fitting term and regularization, respectively, and still obtain an algorithm which is at least as fast as Kaczmarz method. The proposed algorithm performs comparably to the current state-of-the-art method in terms of run time. The quality of reconstructions can be significantly improved as different regularization terms can be easily integrated. Moreover, in order to achieve further speed up of the method, we propose two new step size rules which lead to fast convergence and make the algorithm very easy to handle. We improve the performance of the algorithm further by applying a data-driven splitting scheme leading to a significant speed-up during the first iterations.
Intra-fractional per-beam adaptive workflow to mitigate the need for a rotating gantry during MRI-guided proton therapy
Authors: Guerreiro F , Svensson S , Seravalli E , Traneus E , Raaymakers B W 
Published: July 2021

Abstract
The integration of real-time magnetic resonance imaging (MRI) guidance and proton therapy would potentially improve the proton dose steering capability by reducing daily uncertainties due to anatomical variations. The use of a fixed beamline coupled with an axial patient couch rotation would greatly simplify the proton delivery with MRI guidance. Nonetheless, it is mandatory to assure that the plan quality is not deteriorated by the anatomical deformations due to patient rotation. In this work, an in-house tool allowing for intra-fractional per-beam adaptation of intensity-modulated proton plans (BeamAdapt) was implemented through features available in RayStation. A set of three MRIs was acquired for two healthy volunteers (V
1, V
2): (1) no rotation/static, (2) rotation to the right and (3) left. V
1 was rotated by 15°, to simulate a clinical pediatric abdominal case and V
2 by 45°, to simulate an extreme patient rotation case. For each volunteer, a total of four intensity-modulated pencil beam scanning plans were optimized on the static MRI using virtual abdominal targets and two-three posterior-oblique beams. Beam angles were defined according to the angulations on the rotated MRIs. With BeamAdapt, each original plan was initially converted into separate plans with one beam per plan. In an iterative order, individual beam doses were non-rigidly deformed to the rotated anatomies and re-optimized accounting for the consequent deformations and the beam doses delivered so far. For evaluation, the final accumulated dose distribution was propagated back to the static MRI. Planned and adapted dose distributions were compared by computing relative differences between dose-volume histogram metrics. Absolute target dose differences were on average below 1% and organs-at-risk mean dose differences were below 3%. With BeamAdapt, not only intra-fractional per-beam proton plan adaptation coupled with axial patient rotation is possible but also the need for a rotating gantry during MRI guidance might be mitigated.
Design of network-based biocomputation circuits for the exact cover problem
Authors: Korten Till , Diez Stefan , Linke Heiner , Nicolau Dan V , Kugler Hillel 
Published: July 2021

Abstract
Exact cover is a non-deterministic polynomial time (NP)—complete problem that is central to optimization challenges such as airline fleet planning and allocation of cloud computing resources. Solving exact cover requires the exploration of a solution space that increases exponentially with cardinality. Hence, it is time- and energy consuming to solve large instances of exact cover by serial computers. One approach to address these challenges is to utilize the inherent parallelism and high energy efficiency of biological systems in a network-based biocomputation (NBC) device. NBC is a parallel computing paradigm in which a given combinatorial problem is encoded into a graphical, modular network that is embedded in a nanofabricated planar device. The network is then explored in parallel using a large number of biological agents, such as molecular-motor-propelled protein filaments. The answer to the combinatorial problem can then be inferred by measuring the positions through which the agents exit the network. Here, we (i) show how exact cover can be encoded and solved in an NBC device, (ii) define a formalization that allows to prove the correctness of our approach and provides a mathematical basis for further studying NBC, and (iii) demonstrate various optimizations that significantly improve the computing performance of NBC. This work lays the ground for fabricating and scaling NBC devices to solve significantly larger combinatorial problems than have been demonstrated so far.
NNBI for ITER: status of long pulses in deuterium at the test facilities BATMAN Upgrade and ELISE
Authors: Wünderlich D. , Wimmer C. , Riedl R. , Bonomo F. , Fröschle M. , Mario I. , Mimo A. , Yordanov D. , Fantz U. , Heinemann B. 
Published: July 2021

Abstract
For the D-T operational phase of the international fusion experiment ITER, starting in 2035, pulses are planned with Q > 10 and a duration of 400 s and pulses with Q = 5 for up to 3600 s. The two neutral beam injection (NBI) systems will deliver 33.3 MW of heating power to the plasma and will also be an important source for non-inductive current drive. An essential part of the NBI systems is a large RF driven source for negative hydrogen or deuterium ions. In order to fulfil the requirements imposed to the NBI system, the ion source has to deliver an intense, stable and homogeneous large negative ion beam over pulse lengths of 400 s or 3600 s. Till now, long pulses in deuterium at the extracted negative ion current density required for ITER could not be demonstrated. The achievable performance is limited by a high current and a pronounced vertical asymmetry of the co-extracted electrons, both strongly increasing with time, whereas the stability of the negative deuterium ions is not an issue. For reduced performance, i.e. reduced negative ion current, lower and more stable co-extracted electron currents are observed, making possible pulses up to 3600 s (using pulsed extraction). One main aim of ongoing investigations at the two test facilities BATMAN Upgrade (Bavarian test machine for negative ions) and ELISE (extraction from a large ion source experiment) is the development of scenarios stabilizing and symmetrizing the co-extracted electron current in deuterium. These investigations are discussed and the current status of hardware upgrades ongoing at BATMAN Upgrade and ELISE towards the ITER scenario of one-hour steady state extraction is presented.
The First International Conference on Advances in Computational Science and Engineering (ICACSE 2020)
Authors: Loganathan K , Mohanraj M , Sakthivel P , Sivakumar M 
Published: July 2021

Abstract
The First International Conference on Advances in Computational Science and Engineering (ICACSE 2020) on December 25 & 26th, 2020 which is planned to be held at Coimbatore, India. As the covid-19 pandemic spreads endless, according to the direction received from the government and suggestions received from some participants, the organizing committee decided to convert ICACSE 2020 into a fully virtual mode conference. ICACSE 2020 conference was organized by the Live4Research Institute of Research and Development, India. The main objective of the conference is to provide a platform for researchers, professors, and engineers to share their contributions to recent trends and developments in Engineering and Sciences. The scientific event brings together more than 300 researchers. Initially, the conference structure was divided into oral presentations and keynote speeches. In the oral presentations, some scholars' papers were selected as excellent papers, were given about 5-10 minutes to present their oral presentations one by one. Then the keynote speakers were each allocated 30-45 minutes for their plenary talks. We have received tremendous response from all over India and overseas (Malaysia, Oman, Ethiopia, Peru, Columbia, USA).
Through a rigorous peer-review process, all submissions were performed double blind review to check their quality of content, level of innovation, significance, originality, and readability. Based on the expertise review comments, only 295 papers were accepted, and the corresponding authors were invited to submit their papers for final publication. The accepted papers are published by IOP Conference Series “Journal of Physics: Conference Series (JPCS)”. The conference proceeding is a compilation of the accepted papers and represents an interesting outcome of the conference. This proceeding covers six chapters:
1. Advances in Computational Mathematical Sciences
2. Advances in Computational Physics and Material Sciences
3. Advances in Computer Science Engineering
4. Advances in Computational Electrical Engineering
5. Advances in Computational Electronics and Communication Engineering
6. Advances in Computational Civil Engineering
we would like to thank the keynote speakers, authors, and listeners for their excellent contributions. We wish to extend our sincere gratitude to the organizing committee, reviewers, and volunteers for their constant support. We greatly acknowledge our technical partner Cloudin Software Tech Labs Pvt. Ltd, Coimbatore, India for their effort in publicity and promotion of the conference. We greatly acknowledge all of those who supported ICACSE 2020. The support and contribution of each individual and institution were the backbones of the conference. In specific, we would like to extend our privilege to thank the organizing committee for its valuable inputs in steering the conference program to attain a grand success and reviewing the submitted papers.
List of COMMITTEE and logos are available in this pdf.
GMJ Coding Using Even Felicitous Labeling and Bistar Graphs
Authors: Manshath A , Hariprabakaran P , Maheshwari V , Balaji V 
Published: July 2021

Abstract
In this paper,using GMJ(Graph Message Jumbled) code, we developed a technique for coding a confidential message by applying the even felicitous labeling to the bistar graph Bv>0j.We presented two illustrations for transfering plain text into cipher text(picture coding), method for labeling an even felicitous graph and flowchart is outlined.
Effect of Non-linear Radiation on MHD Mixed Convection Flow of a Micropolar fluid Over an Unsteady Stretching Sheet
Authors: Kataria Hari , Mistry Mital 
Published: July 2021

AbstractThe current analysis explores the results of non-linear radiation on an unsteady stretching mixed Micropolar fluid. Issue modelling leads to a framework of PDE, reworked by transformations into non-linear ODEs. The Homotopy analysis methodology is applied to resolve the matter. The diagrams address the impact of the Magnetic parameter, unsteadiness parameter, Eckert number, Micropolar parameters, buoyancy parameters, Radiation parameter, Temperature ratio and Schmidt number on velocity, temperature, and concentration gradients. Amount of Nusselt number will increase in massive Prandtl number values, within the case of the high values of the unsteadiness parameter skin friction, wall couple stress and Sherwood decrease.
Distributed filtering stochastic parameter learning algorithm for discrete-time random nonlinear systems with delay
Authors: Francis Raj L , Dorathy Prema Kavitha D 
Published: July 2021

Abstract
Distributed filtering algorithm for a discrete time random nonlinear stochastic systems associated with state delay for the distributed wireless communication sensors are discussed in this paper. Stochastic Parameter Learning Algorithm (SPLA) is tend to aim at obtaining a collection of stochastic filter parameters in a finite limited time horizon, that minimize the traces of the upper limits which is permitted to reduce the error variance matrices of the concerned stochastic filter system’s states and delay measurements. Filter gain values of the filter derived by the determination of Riccati type difference equations, estimates systems states with delay. Two different filter rules are taken into account for the SPLA discrete time random nonlinear systems with steady state space equations model. Zero mean distinct covariance matrix along with the constructive state values and constant time delay are focused in compatible dimensions. The variance of the projected systems predicted noise and the actual estimated noise are validated through numerical examples.
Euler’s computational approach for damped oscillatory solutions of RLC circuits
Authors: Malarvizhi M , Karunanithi S 
Published: July 2021

Abstract
In this paper novel techniques for nonlinear frequency domain region problems with respect to linearity are examined. A notable methodology called as Modified Euler’s method and improved Euler’s method to perform nonlinear recurrence domain investigations of RLC circuit problems. Here a combination of waves approximates the driving forces to attain its damped oscillatory solutions. The two different cases were analyzed as, stability of the RLC circuit when the applied voltage is equal to zero and the forced oscillations of the RLC circuit when the applied voltage is equal to ?0?????. To keen the strength of investigation, stability analysis and non-oscillatory behavior of the RLC circuit are explained along with periodical time.
AMGL Coding Techniques With Skolem Mean Like Labeling and Two Star Graphs
Authors: Shendra Shainy V. , Hariprabakaran P. , Swathy V. , Balaji V. 
Published: July 2021

Abstract
In this paper, we have found a technique for coding a secret messages by applying the skolem mean like labeling on the two star graph K
1,φ Λ K
1,π for two different cases π = φ+1 and π = φ+4 using AMGL (Alphabets maneuvered Graph Labeling) code. We provided two illustrations for converting plain text into cipher text (picture coding) and method for labeling the skolem mean like graph is described.
Euler-Painleve transcendents, exact solutions of nonlinear PDE
Authors: Sivagami G , Selvi R K , Padmasekaran S 
Published: July 2021

Abstract
In this paper, some invariant reductions and exact soluions are obtained for a nonlinear partial differential equation by Clarkson Kruskal method. The reduced ordinary differential equation is shown to convertible to Euler-Painlevé transcendents.
Coding Technique With Two and Three Stars, SSML(N4,L2) and GMJ CODE
Authors: Uma Maheswari G , Hariprabakaran P , Balaji V 
Published: July 2021

Abstract
In this paper, we introduce a coding technique for converting a text message using sub super mean labeling on two and three star graphs to a picture coding message. The first part of this paper there are some definitions and discussions for the existence graph and in the second part there are some illustrations to explain how the text message is converted in to picture code, by using graph labeling, and it maintain secrecy, possess intricacy and provide a sense of sufficiency. Secrecy is the practice of hiding information from certain individuals or groups who do not have the need to know, perhaps while sharing it with other individuals that which is kept hidden is known as secret.
A Two Stage Queuing System with delay time
Authors: Shyamala S. , Suresh K. , Anantha Lakshmi S.R. 
Published: July 2021

Abstract
This paper discusses about a two stage queueing system with shared server and the delay time between two end to end responses. This system is examined as almost the process of quasi-birth and death and the necessary and sufficient conditions for system stability are discussed. The ErntPS algorithm for VoIP Services has recently been investigated for average delay in queueing and it has been proven that ErtPS can allow more users than UGS. However, we need the distribution of probabilities of queue delays in order to include information necessary for QoS rather than the average queue delays. Some fascinating performance measures are achieved by matrix geometric method. The server wishes to determine the optimal point of differentiation and its optimal buffer size. Finally we find the delay time differentiation and the specific probabilistic system descriptors.
Synthesis of ferrites using various parts of plants: a mini review
Authors: Kalia Shyam , Kumar Abhishek , Munjal Neha , Prasad Nupur 
Published: July 2021

Abstract
Ferrite nanoparticles are magnetic. They also show photocatalytic and antibacterial activities. These unique properties make them extremely useful for various applications e.g., they can potentially be used for electronic equipment, telecommunication systems, radar, sensing material, catalytic and photocatalytic applications, and several biomedical applications. Several methods have been developed to synthesise these materials. These include sol-gel, co-precipitation, ball-milling, combustion, hydrothermal heating, and microwave hydrothermal procedure. Recently, these materials have been using various parts of plants. Hibiscus rosa-sinensis, Hydrangea paniculata, rosemary, nyctanthes arbor-tristis, sesame seed, aegle marmelos, Limonia acidissima juice, aloe vera, amaranthus blitum, ginger and cardamom, were used for this purpose. Ferrites of silver, cobalt, zinc, and nickel were prepared successfully. Few doped ferrites, e.g., silver doped cobalt ferrite, nickel doped zinc ferrite, and zinc doped nickel ferrite were also synthesised. Use of plant-parts evades the necessity of the use of expensive metal salts. Various parts of plants, e.g., flowers, leaves, and seeds act as a gelling agent, chelating agent, reducing agent, and capping agent during reactions. This is a non-toxic, eco-friendly, and cost-effective method. The samples were characterized using various Advance Materials Characterisation Techniques. The results were very much in agreement with the desired values. In a few cases, better antibacterial activities have been observed with ferrites obtained via this method. Left-over parts of food and fruits can be used for this method which may help in waste management. Still, the tremendous scope is left in this area that can be exploited which may include scaling-up of the product.
Visualizing Non-Covalent interactions between Propylamine and 2-Chlorobenzyl alcohol in Benzene: Theoretical and Dielectric relaxation studies
Authors: Aravinthraj M , Liakath Ali Khan F , Sakthimani P , Udayaseelan J 
Published: July 2021

Abstract
The non-covalent interactions of propylamine (pa) with 2-chlorobenzyl alcohol (2cbOH) in benzene have been studied by theoretical and dielectric relaxation studies. In the theoretical method, the optimized structure of pa2cbOH is achieved by the DFT method in B3LYP/6-311++G (d,p) basis set at ground level d,p orbitals. The Vibrational energy distribution analysis is adopted to find the vibrational assignment of pa2cbOH, as well as it compared with the experimental observations. Stability, electronic effects are determined through the chemical reactivity parameters with the help of FMO analysis. The hydrogen bonding and Vander Waals interactions of pa2cbOH are confirmed with reduced density gradient (RDG) isosurface. In Dielectric relaxation analysis, various dielectric parameters like ε′, ε″, ε0 and ε∞ were determined for five different mole ratios of pa2cbOH. Higasi’s single frequency equation and Gopalakrishna’s single frequency concentration variation methods are validated by measuring the multiple relaxation time τ1 and relaxation time τ2 for group rotation of pa2cbOH. The strength of hydrogen bonding and other weak interactions were determined using the values τ1 and τ2.
Pollution Index and Air Ion Variation in Different Vegetation area at the Rural Station Bhilawadi (16059’N, 740 28’E)
Authors: Patil G B , Pawar S D , Bhosale J L , Patil P G 
Published: July 2021

Abstract
All are surrounded by air ions which shows the good and bad impact on us. These airborne particles have charge and conductivity. These are positive and negative air ions. The negative air ions have a positive effect on human health. We feel happy, relaxed, and breath easily due to them. But positive air ions are responsible for discomfort, headache, high blood pressure, nervousness in human life. The air ion concentrations in Grape, Sugarcane, Chickpea, and Onion vegetation in rural area Bhilawadi (16059’20” N, 74028’2” E) is measured with the help of a Gerdien condenser-based air ion counter developed and designed at A.C.S. College, Palus. Temperature, humidity, transpiration, radon exhalation, wind speed is responsible for variation in air ions. Onion, sugarcane, grapes, and chickpea have a higher concentration of negative air ions than positive air ions. Ionization by cosmic rays and gamma radiation is almost constant in daily cycles. Air ion concentration near the ground varies mostly with the exhalation of 222Rn and its progenies. Due to ionization, photosynthesis, transpiration, and radon exhalation process of vegetations ion concentration are different. The pollution index and air ion assessment coefficient show good air quality of sugarcane and onion as a natural air ionizer.