bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimal policies for mitigating pandemic costs: a tutorial model
Authors: Serra M , al-Mosleh S , Ganga Prasath S , Raju V , Mantena S , Chandra J , Iams S , Mahadevan L 
Published: July 2022

Abstract
There have been a number of pharmaceutical and non-pharmaceutical interventions associated with COVID-19 over the past two years. Various non-pharmaceutical interventions were proposed and implemented to control the spread of the COVID-19 pandemic. Most common of these were partial and complete lockdowns that were used in an attempt to minimize the costs associated with mortality, economic losses and social factors, while being subject to constraints such as finite hospital capacity. Here, we use a minimal model posed in terms of optimal control theory to understand the costs and benefits of such strategies. This allows us to determine top-down policies for how to restrict social contact rates given an age-structured model for the dynamics of the disease. Depending on the relative weights allocated to mortality and socioeconomic losses, we see that the optimal strategies range from long-term social-distancing only for the most vulnerable, partial lockdown to ensure not over-running hospitals, and alternating-shifts, all of which lead to significant reduction in mortality and/or socioeconomic losses. Crucially, commonly used strategies that involve long periods of broad lockdown are almost never optimal, as they are highly unstable to reopening and entail high socioeconomic costs. Using parameter estimates from data available for Germany and the USA early in the pandemic, we quantify these policies and use sensitivity analysis in the relevant model parameters and initial conditions to determine the range of robustness of our policies. Finally we also discuss how bottom-up behavioral changes affect the dynamics of the pandemic and show how they can work in tandem with top-down control policies to mitigate pandemic costs even more effectively.
Fractional-calculus analysis of human immunodeficiency virus and CD4+ T-cells with control interventions
Authors: Jan Rashid , Boulaaras Salah , Azhar Ali Shah Syed 
Published: July 2022

Abstract
It is undeniable that HIV infection has been a censorious public health concern over the past four decades. It is reported that HIV is the main reason for AIDs which has decimated the global population of humans and imposed a significant economic burden on affected areas. Hence, it is significant to study the transmission of HIV viruses in the body of a human host. In this study, we use a fractional framework to organise the intricate interactions of CD4+ T-cells and HIV viruses in order to investigate HIV infection with control interventions. We apply the operators of Caputo and Atangana–Baleanu to interrogate the transmission phenomena of HIV viruses. For the analysis of our system, we present the basic concepts of the fractional operators. Numerical schemes are provided to show the solution pathways of the system with the variation of input parameters. Furthermore, the findings emphasise the chaotic and dynamical behaviour of HIV. We run several simulations to visualise the influence of input factors and quantitatively illustrated the dynamics of HIV. Chaos and oscillatory behaviour are intimately linked, and this is owing to the system’s nonlinearity. Furthermore, our findings indicate the most important factors for infection control and prevention.
Impact of coherent mode on divertor particle and heat flux in a type I ELMy H mode plasma on EAST tokamak
Authors: Long F.F. , Zhang T. , Ming T.F. , Liu X.J. , Meng L.Y. , Wu M.F. , Li B. , Liang R.R. , Wu M.Q. , Hao B.L. , Tang T.F. , Chen M.W. , Liu S.C. , Wang Y.M. , Han X. , Liu H.Q. , Zhao H.L. , Zang Q. , Wang L. , Zeng L. , Li G.Q. , Gao X. , the EAST Team  
Published: July 2022

Abstract
The paper investigates the effect of pedestal turbulence, i.e. coherent mode (CM), on the divertor total particle flux, the particle flux distribution and heat flux distribution, and their decay lengths in the scrape-off layer (SOL) region on EAST tokamak. The experimental evidence indicates the coherence between the pedestal CM and the divertor particle flux fluctuation, which implies that the pedestal CM can affect the divertor plasma behavior. The increase of the particle flux decay length

(

λ

j

s

)

correlates with the density radial decay length (λ

n,SOL) in the SOL region where the λ

n,SOL is largely affected by the change of pedestal CM amplitude. A quantitative statistical analysis shows that the divertor total particle flux and

λ

j

s

in the SOL region increase with increasing amplitude of the electron density fluctuation and the electron temperature fluctuation induced by the pedestal CM. The temporal decay process of the total particle flux is interrupted by the appearance of CM at the pedestal. Meanwhile, the spatial distributions of the divertor particle flux and heat flux are enhanced when the pedestal CM appears, which are observed in both the upper single null and lower single null configurations.
Analysis of random sequential message passing algorithms for approximate inference
Authors: Çakmak Burak , Lu Yue M , Opper Manfred 
Published: July 2022

Abstract
We analyze the dynamics of a random sequential message passing algorithm for approximate inference with large Gaussian latent variable models in a student–teacher scenario. To model nontrivial dependencies between the latent variables, we assume random covariance matrices drawn from rotation invariant ensembles. Moreover, we consider a model mismatching setting, where the teacher model and the one used by the student may be different. By means of dynamical functional approach, we obtain exact dynamical mean-field equations characterizing the dynamics of the inference algorithm. We also derive a range of model parameters for which the sequential algorithm does not converge. The boundary of this parameter range coincides with the de Almeida Thouless (AT) stability condition of the replica-symmetric ansatz for the static probabilistic model.
Utilization of Tractor Power using Front Three Point Linkage
Authors: Jagan T , Ponpaul R.S. 
Published: July 2022

Abstract
With a higher HP tractor it is difficult to take the maximum use of tractor power. Front three-point linkage has been found profitable with these tractors due to higher power requirement and also due to multiple operations in single pass. The importance of this study is to check its feasibility under Indian field conditions. Front three-point linkage are designed and fabricated according to Category II hitch requirements. Hydraulic cylinders are designed to provide hydraulic power to the front linkages. Selection of hydraulic hoses is done according to the requirements and availability. Mechanical front-wheel drive tractor is selected for the test. Laboratory test is carried out to evaluate its lifting performance. Field performance is also done to check its profitability. A field is prepared using cultivator in front and harrow in rear and the performance are calculated.
Sustainable renewable energy generation: A case study based teeny review
Authors: Bhuvaneswari V. , Balaji D. , Amarnath V. , Balasubramaniam M. , Dhanesh kanna T. , Hariprasadh M. , Karthick S. , Navin chandar S. , Pragadeesh K.B. 
Published: July 2022

Abstract
The global temperature rise is a great alarming factor. The most remarkable contributors are industries and automobiles. Many researchers around the world struggling to find the solution sooner. Many emphasized that solution is required at the earliest possible time, already glaciers in arctic started melting. The majority of them, such as fossil fuels, coal well as others, have been contaminating the immediate area. There is also the option of using renewable energy resources (RERs) that also would be a natural treasure to humanity because of their proximity. Based on a variety of factors, the amount of energy that can be harvested by using RERs is limited, such as seasonal, inadequate equipment, as well as huge collection space. In this article, the emphasis is now on the extent to which other constraints can be utilized. Sectors that produce goods demand enormous amounts of energy, but that energy might indeed not be used in those sectors. As a result, the RERs can sometimes be extensively employed by households and small businesses whose power needs are minimal. As a result, this review has been consolidated in the way of several different test cases.
Performance Assessment of Electrically Converted Diesel Fuel Driven Commercial Vehicle
Authors: Ramesh Babu S. , Senthil Kumar C. , Maria Raj Manoj P. , Manokaran S. , Rooban Kumar R. 
Published: July 2022

Abstract
An electric vehicle has an alternative drive that uses electric motors and controllers to replace traditional internal combustion engines. Power comes from a battery or battery cell, not a carbon-based fuel. This not only saves money, but also has a low environmental impact. It also has a number of advantages over traditional internal combustion engines, particularly in terms of considerably reduced pollutants and increased energy efficiency. There are several impediments to the quick adoption of electric vehicles, including battery technical constraints, high purchasing costs, and a lack of charging infrastructure. In this conversion we can save and control the emission and pollution. In this work, a diesel fuel driven 909 CC commercial vehicle has been converted into the electric vehicle (EV) with suitable modifications in their power train. Then, the performance of the EV was analysed and it was found satisfactory. In this way, an attempt was made to retrofit the commercial diesel vehicle to work in electric power. The mileage of the EV was measured as 110 km per charge for the 25% load and 80 km per charge for the full load condition.
Experimentally Investigating the Flat Plate Solar Water Heating System (FPSWHS) for South Indian Climate
Authors: Senthil T.S. , Porkodi M , Ranjith Kumar R. , Vijay Muni T , Karuna M. S. , Subbiah Ram 
Published: July 2022

Abstract
The heat transfer performance of a flat plate solar water heating system was investigated experimentally in this paper (FPSWHS). The main objective of this investigation is to analyze the behaviour of FPSWHS with a 1.5 m2 receiver surface area in South Indian weather conditions and to calculate the heat energy created by the receiver for residential usages, which lessens electricity usage and assists the nation in conserving energy acquired from carbon fuels. Water was employed as the working medium in this investigation. The trials have been conducted in the first week of March 2021 at 13.0827° North, 80.2707° East. The findings confirmed that the solar thermal system's estimated average efficacy remained 44.3%, and the system's maximum output temperature of water was 67°C.
Design and development of large scale FDM based 3D printer
Authors: Brathikan V M , Balasubramanian S , Kiranlal S , Ravi Ragul R 
Published: July 2022

Abstract
Additive Layer Manufacturing (ALM) is one of the fabricating methods because it permits outrageous customization, quick prototyping of wanted designs and low volume creation of items. FDM printer goes under the material expulsion class. The filament is constrained into the hot extruder. The filament is warmed first and afterward stored, through the spout, onto a form stage layer-by-layer to frame the total 3D structure. A printer equipped for printing a 1.5-meter cubic-sized object was designed in SOLIDWORKS CAD software and manufactured into a functioning model. The Frame, Linear guide rail, and Z-axis rails were subjected to static structural, modal and harmonic response analysis with ANSYS Workbench. The designed parts were investigated by modal analysis to get the natural frequency. The effect on the guide rails and frame due to external forces, stepper motor, and extruder were examined with harmonic response analysis. The frequency at which the amplitude rises drastically from a phase angle of 0 degrees to 180 degrees was obtained using harmonic response analysis as well. The model was further subjected to motion analysis using ADAMS dynamic software.
Study on TIG welding parameters for joining different kind of aluminium tube with a tube plate
Authors: Chandran Jishu , Muniamuthu Sumathy , Padmanaban G. , Kishore kumar A. , Mohan kumar M. 
Published: July 2022

Abstract
Welding is a vital metal joining technique with a wide range of industrial uses. In this study, numerous process factors such as current, feed rate, and distance between tube and work piece, among others, were used to investigate in Tungsten Inert Gas (TIG) welding. We used Aluminum 6063 tube to Aluminum 6061 tube plate for this TIG welding. After the welding is finished, a radiographic test is performed to show any welding faults that might lead to defect-free welds. The most critical control factors that would result in better joint strength were identified to use a Taguchi L9 orthogonal matrix. Furthermore, the most relevant process parameter was determined using quantitative independent test (ANOVA). In addition, the mechanical tests were performed to determine the welding strength. The value of the best welded connection strength for tubes with holes welded at interference was found to be 318.716 MPa.
Activated flux induced Tungsten inert gas welding of Ferrous alloys - A Review
Authors: Rakesh N , Rameshkumar K. 
Published: July 2022

Abstract
Ferrous alloys are employed in a range of fields, including aerospace, construction, automobiles and chemical processing. One of the most used welding processes for the fusion of ferrous metals is gas tungsten arc (GTA) welding or Tungsten Inert Gas (TIG) welding. Due to the lower amount of penetration accomplished using only one pass, welding is less frequent in some industrial situations. Fluxes have been discovered to improve the penetration depth of GTA welding, resulting in increased productivity. The research on Activated flux induced TIG (A-TIG) welding of ferrous alloys is discussed in this publication. The effect of fluxes during TIG welding, the effect of weld parameters on weld morphology, and the usage of fluxes in dissimilar welds of ferrous alloys are all discussed in this study. The mechanisms involved in enhancement of penetration depth, the types of fluxes used, the effect of fluxes on mechanical properties and microstructures are discussed. The study also gives an insight on areas less explored.
Fabrication of Hydrothermal Carbonisation Plant for Carbonisation of Municipal Solid Waste
Authors: Kannabiran R , Jose Ananth Vino V 
Published: July 2022

Abstract
This research work presents the carbonization of the municipal solid waste (MSW) and cost analysis to establish its economic aspects. The hydrothermal carbonisation (HTC) is used to carbonise MSW, converting the biomass into a substance that resembles coal. A comparative analysis is also presented for the before and after carbonization of MSW samples. The HTC process of carbonization procedure is presented by considering the characteristics including duration, temperature, and pressure. The results reveals that the carbonization process of MSW is very much effective to reduce the CO2 emission and global warming.
Analysis and Optimization of Composite Propeller Shaft for Automotive Applications
Authors: Manideep CH. , Raja E. 
Published: July 2022

Abstract
In the field of automotive engineering polymeric composites played vital role due to its outstanding properties such as high strength, low weight and high stiffness. The purpose of this research is to develop a single piece steel (Cr–Mo SCM440) drive shaft using computer aided modelling tool and finite element method was used for analysing static analysing and free vibration. These results were compared with the propeller shaft made by carbon and glass epoxy composites. ANSYS software is used for accomplish total deflection, natural frequency, and modal analyses. From this work it was noted that the propeller shaft made using carbon epoxy offered better results as compared with steel and glass epoxy composite propeller.
Investigating Conventional Concrete using Rice Husk Ash (RHA) as a Substitute for Finer Aggregate
Authors: Natarajan Suganya , Jeelani Syed Hamim , Sunagar Prashant , Magade Sushilkumar , Salvi Sahil Sanjeev , Bhattacharya Sumanta 
Published: July 2022

Abstract
The concrete industry introduces a variety of linked ways for integrating and using waste materials that are generally usable, readily accessible, and financially feasible for the everyday consumer. The use of such components in cementitious materials not just to saves greenhouse gas emissions, but also improves flowability and longevity significantly. This article discusses how rice husk ash (RHA), a byproduct of rice production, may be used with cementitious material. Because the density of concrete incorporating RHA is comparable to that of standard weight cement, it may also be used for a wide variety of applications. RHA concrete's impermeable substructure provides superior resistance against chemical attack, salt entry, and bubbling, among other things. RHA cementitious material has excellent contraction characteristics and increases the durability of the concretes. In this work, the RHA was used in progressive fractions such as, 0%, 10%, 20%, 30%, and 40% as a substitute for the fine sand in different periods. The outcomes evidenced that the incorporation of 20% replacement of RHA with fine sand showed a better increment in the compressive strength of the concrete.
Enhancing the Mechanical Characteristics of the Traditional Concrete with the Steel Scrap
Authors: Venugopal N , Emmanual L , Sunagar Prashant , Parida Lukesh , Sivaranjani M. , Santhanakrishnan M. 
Published: July 2022

Abstract
The mechanical performance of concrete with varying proportions of steel scraps as a composite additive is investigated in this work. A M50 grade concrete admixture with a 0.35 water-to-binder ratio was prepared for this study. The appropriate quantity of superplasticizer was included as the mineral admixture. Steel scraps are obtained as waste from local machining workshops and then included in various proportions, including 0.25, 0.5, 1.0, and 2.0 percentages. The cubical mortar specimens were being employed to determine the compressive characteristics of mortar structure with and without steel scrap, whilst the cylinder-formed specimens and beam shaped samples were being utilized to determine the indirect tensile strength and flexural strength of concrete mixture. All experiments with different percentages of steel scrap were conducted on the 3 replicates, and the mean value is provided in this paper. After 28 days, the cement without steel scrap seemed to have a mean compression, flexural, and tensile strengths of 46.3 MPa, 5.52 MPa, and 4.23 MPa, respectively, which were improved to 51.7 MPa, 6.16 MPa, and 4.58 MPa with the inclusion of 1.0% steel scrap. The proposed investigation will contribute to reducing cement use, hence reducing cement industry's adverse ecological impacts.
Optimal pulse width modulation for permanent magnet synchronous motor drive with improved torque and thermal losses using pulse numbers
Authors: Viswanathan Tamilarasu , Prabhakaran Anush , Sekar R M , Rajan Babu W , Mathankumar M , Gowdham Kumar S 
Published: July 2022

Abstract
This paper utilises the concept of pulse numbers to provide a new optimal pulse width modulation strategy for permanent magnet synchronous motor operation. The benefits of traditional modulation systems are preserved, as is an improvement in torque and thermal loss reduction. The continuous modulation approaches' performance limitations are solved by separating the performance constraints based on the drives surface area. The rotating component, which is regulated through odd and even pulse numbers, is used to mimic torque and thermal losses. With increases to 20 rpm and 30 rpm speeds, the suggested methods boost the 6% to 8% line current. Thermal losses are reduced by 21° C to 23° C, and torque is improved by 2 to 4 Nm. The proposed system is implemented by creating a MATLAB model that ensures the theoretic concept.
Development of an algorithm for generating queries for a data flow control system
Authors: Kotilevets I D , Ksenofontov N V , Karbova E S , Ivanova I A 
Published: July 2022

Abstract
Nowadays, the process of technology development can be described as accumulation of huge data resources, which numbers are growing. Problems associated with the presentation of information in the form of data flow or streams arise more and more often due to the increased amount of data and the speed of their processing. This article presents inquiry algorithm, which is based on methods of inquiry adaptation. The algorithm includes streaming data processing from different sources, which allows to apply new inquiries to old data and new data to old inquiries to make getting the results more efficient.
Feature Selection Methods Comparison for EEG-based Classifier Constructed Using Discrete Wavelet Transform Features
Authors: Tsybenov B , Svetlakov M , Hodashinsky I 
Published: July 2022

Abstract
The paper presents the results of a study in the application of electroencephalography (EEG) for user authentication using discrete wavelet transform. The Leipzig Study for Mind-Body-Emotion Interactions dataset (LEMON) was used. Mean value, standard deviation, and root mean square value are used as features. Feature selection methods based on correlation, on mutual information, and on the χ2 criterion are used for reduce feature space. The SVM model is used for classification. The efficiency of constructed classifier has been tested using cross-validation procedure. Classifier built on feature reduced data via mutual information criteria have improved accuracy (97.4%) with feature space nearly halved (183 features) compared to baseline classifier.
Selection of a forecasting model for Russia consumer price index based on the application of Analytic Hierarchy Process
Authors: Kasyan E A , Nemirovich-Danchenko M M 
Published: July 2022

Abstract
The present article is dedicated to the problem of making decisions in the process of selecting a forecasting model through the example of Russia Consumer Price Index (CPI) forecast. Forecast values of CPI have been obtained for a year of 2021 using five models. Qualitative criteria for the comparability of the models have been formulated in order to select the most appropriate model. The application of the Analytic Hierarchy Process gives the opportunity to determine the optimal model for the Consumer Price Index forecast based on the synthesis of quantitative preference vectors.
Exploring of the MobileNet V1 and MobileNet V2 models on NVIDIA Jetson Nano microcomputer
Authors: Edel G , Kapustin V 
Published: July 2022

Abstract
This article is devoted to the study of the accuracy of MobileNet V1 and MobileNet V2 models when recognizing pedestrians at different times of the year, with changing distance and position. According to the test results, the pros and cons of the models were identified, as well as their capabilities and dependencies. Models were compared directly to each other. All studies were performed on an NVIDIA Jetson Nano microcomputer.
Modeling the factors that determine the accuracy of the range measuring using active-pulse television measuring systems
Authors: Chaldina E , Movchan A , Kapustin V , Borodina N 
Published: July 2022

Abstract
The article describes the operation principles of the active-pulse television measuring system and the method of measuring the range by using it. The results of modeling and the effect of control impulse jitter and photodetector noise on the range measurement accuracy are presented. Based on the simulation results, the dependence of the range measurement error on the value of the jitter of the control pulses and the noise of the photodetector was established. A decrease in the accuracy of measuring the range with an increase in the jitter values of the control pulses and the noise of the photodetector was established.