bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pali lexicography using lexonomy
Authors: Sakhare Anupama Devendra , Shareef Arshad , Rangari Varsha 
Published: June 2021

Abstract
Lexonomy is a platform which is an open source for writing and publishing dictionaries. Pali Lexicography is actually a dictionary created by using Lexonomy, which is a web based tool for creating dictionaries. Since a dictionary is a means of understanding any language and its translation, the present work is about Pali Lexicography. It is a project that has been created using simple XML tags and technical skills without any cost. In this, word mapping is done using selected words that are chosen from the set of Pali Language which are also present in the Marathi Language set having almost similar meaning in Marathi Language. All the Pali words have their English meaning which are automatically sorted generating the Lexicographic order. Pali dictionary is created with a simple user interface and is easily operable.
Heart disease prediction using data mining
Authors: Fadnavis R , Dhore K , Gupta D , Waghmare J , Kosankar D 
Published: June 2021

Abstract
There is huge amount of information accessible within the healthcare systems. But there do not exist enough analysis tools to mine uncovered, unusual but useful patterns in data. Data mining has been used successfully in various fields to discover hidden patterns and trends, alerting about the hidden anomalies in the data or simply helping in the decision making process. This paper how classification techniques in data mining can be applied for heart disease prediction. To predict and alert about any future coronary ailment in the patients techniques like Naïve Bayes, and Decision tree are applied and efficiency of these algorithms is compared. The dataset taken is Cleveland dataset with 14 attributes.
Dynamical behaviours of Chaplygin gas, cosmological and gravitational ‘constants’ with cosmic viscous fluid in Bianchi type V space-time geometry
Authors: Kotambkar S , Kelkar R K , Singh G P 
Published: June 2021

Abstract
This paper is devoted to study modified Chaplygin gas and cosmological ‘constant’ as candidates of dark energy in the presence of cosmic viscous fluid with reference to the Bianchi type V space-time geometry. To represent a more viable cosmological model, variation of gravitational ‘constant’ is also considered. Precise solutions of equations of field have been acquired, where scale factors expand as monomial functions of cosmic time. Further, by use of graphical representation, behaviours of various parameters are also examined.
A comparative study of energy and task efficient load balancing algorithms in cloud computing
Authors: Gaikwad A D , Singh K R , Kamble S D , Raghuwanshi M M 
Published: June 2021

Abstract
The future growth of the Internet of Services has fundamentally changed the emergence of cloud computing. Cloud data centres serve multiple tenant demands for cloud applications that discharge vast amounts of electricity, leading to high operating costs and environmental diffusion of carbon dioxide (CO2). To fix this is the need for preservation to enable potential use by building a new structure and measuring the effect in a cloud data centre. Consequently, the use of pruned electricity reduces the cost of processing power. In order to meet energy-efficient data centres in the cloud, adjusting to optimal load balancing processing a good way for energy savings. To minimise the large energy use of cloud data centres herds, this focuses on increasing efficacy by breaking the workload evenly. In this paper, we plan to provide a comprehensive comparative analysis in cloud computing of current load balancing algorithms.
Analysis of Covid-19 in India using mathematical modeling
Authors: Pidurkar Smita R , Thakran B , Raut Seema , Thakre L P , Vaidya N V 
Published: June 2021

Abstract
An infectious disease COVID-19 is caused by virus called coronavirus. The corona virus transmitted from individual to individual through droplets / contact. The first conformed case of India was on 30 January 2020 occurred in Kerala. As still no vaccine is available for controlling it so from initial stage government of India started different initiatives like lockdown, work from home, suspension of train services and international flights, implemented rules and regulation such as limiting the number of passengers in the vehicle, banning on social gathering to control on this virus. Ministry of Health and Family Welfare (MoHFW) was launched a nationwide training for front line health worker on COVID19. Hence the implication of the study becomes very crucial. In this paper the special case of India is considered from the initial period to October 2020. Based on available data, the analysis of this viruses is studied also the different cases of stability is checked by considering logistic growth in prey population. The parameter which used to study this case are predators, prey, time, prey’s growth rate, attack rate, predator or consumer mortality rate, conversion efficiency and maximum curing capacitive rate.
A comparative study of Laplace and Kamal transforms
Authors: Katre N T , Katre R T 
Published: June 2021

Abstract
There are numerous integral transforms which are being extensively usedto solve many of the real life, science and engineering problems. In this paper, two integral transforms namely Kamal transform and very famous Laplace transform are studied comparatively. Application of these transforms to solve linear difference equations is demonstrated. Study shows that these integral transforms are in close connection to each other.
Anti-magic Labeling of Cartoon Flowers and Consecutive Wounded Flowers
Authors: Nemani S , Joshi G 
Published: June 2021

Abstract
An anti-magic labeling of a finite simple undirected graph G is a bijection from the set of edges to the set of integers {1, 2,…, |E(G)|} such that the vertex sums are pairwise distinct, where the vertex sum at one vertex is the sum of labels of all edges incident to such vertex. A graph is called anti-magic if it admits an anti-magic labeling. In this paper, we established an anti-magic labeling of the cartoon flowers. We further define a new subclass of the cartoon flower called the consecutive wounded cartoon flower and then established an anti-magic labeling of the consecutive wounded cartoon flowers.
Graphical indices of some chemical structure graphs
Authors: Puri Prafulla , Korde Vivek 
Published: June 2021

Abstract
In present situations for theory and applications point of view graph theory is useful. Graphs are used as a representative tool for many problems of applied consequence. For illustration, a system of towns, which are considered by vertices, and connections among them make a biased graph. In present work graphical structure of graphene and ferroelectric hysteresis curve is explain.
Energy efficient quaternary capacitive DAC switching scheme using sar analog to digital converter
Authors: Sangewar S , Gugulothu S , Khandelwal R 
Published: June 2021

Abstract
This article shows the outline of successive approximation register-ADC used to convert the signals obtain from the brain into electrical signal. Quaternary capacitive exchangin vitality conspires (QCS) within the execution of (C-DAC) is utilized which makes the vitality utilization in the C-DAC free of the yield advanced output code. This method accomplishes a 50% diminishment within the normal vitality utilization. The design is actualized in 0.25nm technologyusing complementary metal-oxide semiconductor (CMOS).
Urban transport sustainability assessment for the Use of motorized vehicles in road transport india
Authors: Thakare Kalpana N Kawathekar , Bakde V K 
Published: June 2021

Abstract
Urban population growth in India observes continuous increase since 1901 with 34.03 % in 2018 allowing swelling of urban limits as per the Ministry of Housing and Urban Affairs. Considering urban growth the Ministry of Transport has been active for developing urban roads increasing road length to 58, 97, 671 km in 2017. Consequent to urban growth and developed roads is observed the raise in vehicle ownership adding on to motorized vehicles adapting modal shifts leading to amassed use of speed moving motorized vehicle/s. The total number of motorized vehicles in 2017 is 253,311 thousands. A research study marks the rate of increase in motorized vehicles as 11.69% against the 1.84% growth of the population in India. These Motorized vehicles are the major pollution contributor, producing significant amounts of nitrogen oxides, carbon monoxide, and other pollution leading to significant number sharing about 2/3rd of air pollution-related deaths in India. The road side landscape can help in reducing the effect of pollution due to these vehicles if planted appropriately. The use of multimodal integrated transportation is one of the solution to integrate the public transport allowing private transport network with provisions for non-motorized transport. This paper aims to urban transport sustainability assessment for the use of motorized vehicles in road transport India. The objectives of this paper include the study of increasing rate of motorized vehicles as against the urban growth and accidents due to air pollution from these vehicles, and the probable solutions for the reduction of accidents in India with emphasis on study from Maharashtra. Maharashtra being at the top in the vehicle ownership in India it is selected for the case study along with the assessment study on multi modal transport solution at Nagpur.
Optimization of stochastic chinese postman networks problem using priorities
Authors: Bhuranda Lokesh Kumar , Rizwanullah Mohd 
Published: June 2021

Abstract
The postman problem is concern with the choice of root to follow in order that he or she pass each streets at least once and return at starting point with least traveling distance. The Chinese postman problem is transformed as network optimization problem under certain constraint. Stochastic networks are networks of non-binary vertices that differ over time, reflecting the probability of a connection of two nodes. This paper deals with theoretical and mathematical foundation of stochastic networks related to an additional feature of the Chinese postman Problem (CPP) is that postman visited with first priority node as soon as possible. Fleury’s and Dijkstra’s algorithm have been used with respect to Eulerian path. Finally, this paper also illustrates and justify the implementation of the methodology and algorithms. Consideration of cost factors in the ever network problems gives another scope of research.
Dynamics of SEIR model with delay effects - latent period and recovery period
Authors: Raut S , Janardhan S 
Published: June 2021

Abstract
A compartmental SEIR epidemic model with constant latent and recovery periods as delay effects is proposed in this paper. Incidence rate applied in the model is non-monotonic. Basic reproduction number for the model is calculated and the dynamical behavior is analyzed by studying the local & global asymptotic stability of disease free and endemic equilibriums of this model. Numerical simulation of this model is given to illustrate the results.
Inverse transient thermoelastic problem with heat source in an annular disc
Authors: Shinde A K , Navlekar AA , Ghadle K P 
Published: June 2021

Abstract
This article deals with formulating an inverse problem of heat conduction to analyse thermoelastic stress in a thick annular disc due to internal heat generation within the solid. The integral transformation techniques, Marchi-Zgrablich transform and finite MarchiFasulo integral transform, are employed in order to solve governing transient heat conduction equation, under stated thermal boundary conditions. The outcomes obtained from analytical solution are represented in the form of infinite series consisting Bessel’s functions. Numerical verification is done for a particular case of a thick annular disc made of aluminummetal and results are depicted graphically.
Solution of heat equation (Partial Differential Equation) by various methods
Authors: Vaidya N V , Deshpande A A , Pidurkar S R 
Published: June 2021

Abstract
In the present paper we solved heat equation (Partial Differential Equation) by various methods. The methods used here are Laplace Transform method, method of separation of variables, Fourier Transform and MATLAB software. We reached the same solution at the end in Laplace Transform method, method of separation of variables, but by Fourier Transform we reached solution in different form that is in sine and cosine series form.
An IoT Framework for Healthcare Monitoring System
Authors: Dharmik R C , Gotarkar Shashank , Dinesh Pooja , Sant Burde Harshal 
Published: June 2021

Abstract
As a result of the developments made in medical and technical aspects, the healthcare sector has been constantly evolving. Over the decades, healthcare has developed by using the best available PC technology. It has become an in-depth source of valuable analytical and analysis data. The health aspects of the person need to be monitored with the utmost concern and treated with appropriate medications. Proactive monitoring of one’s health can cure and prevent several diseases. In recent decades, technology has evolved to its height due to the availability of many wearable devices and health tracking gadgets on the market. Expert doctors also find it difficult to estimate the disease from the symptoms seen from the diseased, but using advanced technical tools such as the Internet of Things (IoT), cloud/edge computing, machine learning and AI along with Big Data will make it much easier for doctors to dig out and describe the root cause of the disease and predict its severity using modern algorithms. The objective is to be able to extract relevant and important information from the massive data usually produced in IOT devices by the front-end sensor frameworks and few intelligences that could be included in the front-end module itself to allow the front-end to make a decision based on data priority.
Experimental study on the effect of aspect ratio and volume fraction of steel fibre on the mechanical properties of metakaolin SFR concrete with mathematical model
Authors: Chandak Mayuri , Pawade P Y 
Published: June 2021

Abstract
The study is undertaken to find the combined effect of 16% metakaolin (MK) along with steel fiber reinforcement (SFR) on M40 grade of concrete with Portland pozzolana cement (PPC). For this purpose steel fiber of aspect ratio (l/d) as 41.67 and 81.33 were used. Cubes, cylinders and prisms were casted by using different eight concrete mixtures using 0.5% 1% and 1.5% steel fibers by volume of concrete. At 28 days of water curing these casted specimens were subjected to tests like compressive strength, split tensile strength, flexural strength and ultrasonic pulse speed test. It was located that metallic fiber along with metakaolin mixture has significantly stepped forward these properties. Regression analysis on experimental results generated some statistical model predicting the results in good agreement.
Information Retrieval using Machine learning for Ranking: A Review
Authors: Chavhan Sushilkumar , Raghuwanshi M M , Dharmik R C 
Published: June 2021

Abstract
The Ranking is one of the big issues in various information retrieval applications (IR). Various approaches to machine learning with various ranking applications have new dimensions in the field of IR. Most work focuses on the various strategies for enhancing the efficiency of the information retrieval system as a result of how related questions and documents also provide a ranking for successful retrieval. By using a machine learning approach, learning to rank is a frequently used ranking mechanism with the purpose of organizing the documents of different types in a specific order consistent with their ranking. An attempt has been made in this paper to position some of the most widely used algorithms in the community. It provides a survey of the methods used to rank the documents collected and their assessment strategies.
A method for preparing the pH-responsive superhydrophobic paper with high stability
Authors: Jiang Shangjie , Zhou Shisheng 
Published: June 2021

Abstract
In this paper, a simple method for preparing high stability superhydrophobic paper with pH-induced wettability transition was proposed. Firstly, the pH-responsive monomer 2- (dimethylamino) ethyl methacrylate (DMAEMA), the silicon-containing crosslinking monomer 3-trimethoxysilyl propyl methacrylate (TSPM) and the fluorine-containing monomer hexafluorobutyl methacrylate (HFMA) were polymerized to prepare the pH-responsive polymer PHFMA-PTSPM-PDMAEMA. Afterwards, the amino-modified SiO2 was grafted onto the polymer to provide roughness and then coated on the paper to prepare the superhydrophobic paper with pH-responsive properties. Further research found that the modified paper prepared by this method not only has strong stability and transparency, but also can realize the reversible regulation of superhydrophobic & lipophilic and super-oleophobic & hydrophilic properties under different pH-induction, and it has important application value in the field of oil-water separation in industrial applications.
Assessment of the carbon abatement and removal opportunities of the Arabian Gulf Countries
Authors: Alatiq Abdulrahman , Aljedani Wail , Abussaud Abdullah , Algarni Omar , Pilorgé Hélène , Wilcox Jennifer 
Published: June 2021

Abstract
The Arabian Gulf Countries (AGC) are strongly reliant on the economic export of fossil fuels, while being vulnerable to climate change that is resulting in temperature increase, air pollution and sea-level rise, and threatening the health of the population and ecosystem. In agreement with the Paris Accords, most of the AGC have published short-term goals to reduce their carbon emissions in the coming decades. In relation to these goals, this study explores the potential CO2 reduction, avoidance and removal in the region, by comparing a business-as-usual (BAU) scenario to three decarbonization scenarios for the power sector. In 2018, the total greenhouse gas (GHG) emissions in the AGC were ~1333 MtCO2/yr and are expected to rise to 1568 MtCO2/yr in 2030 following a BAU scenario, which is likely to be reduced to 1522 MtCO2/yr in 2030 by following the countries’ planning. Countries issued plans for the coming decades that focus on increasing the share of renewable energy in their grid mix. The three decarbonization scenarios presented in this study focus on supply-side technological solutions. The retirement of the oldest natural-gas and oil power plants could lead to a total emissions reduction of ~75 MtCO2/yr, without accounting for the embodied carbon emissions associated with renewable energy. In addition, the implementation of point-source capture at power plants expected to retire in &gt;10 years’ time could avoid emissions of ~240 MtCO2/yr, provided the CO2 is permanently sequestered in appropriate geological formations. The region also shows high-quality solar resources and large CO2-storage potential that could couple to direct air-capture plants to offset difficult-to-avoid emissions. This last scenario has the potential to ultimately result in net negative emissions.
Genome Assembly of the Cold-Tolerant Leaf BeetleGonioctena quinquepunctata, an Important Resource for Studying Its Evolution and Reproductive Barriers between Species
Authors: Lukicheva Svitlana , Flot Jean-François , Mardulyn Patrick 
Published: June 2021

AbstractColeoptera is the most species-rich insect order, yet is currently underrepresented in genomic databases. An assembly was generated for ca. 1.7 Gb genome of the leaf beetle Gonioctena quinquepunctata by first assembling long-sequence reads (Oxford Nanopore; ± 27-fold coverage) and subsequently polishing the resulting assembly with short sequence reads (Illumina; ± 85-fold coverage). The unusually large size (most Coleoptera species are associated with a reported size below 1 Gb) was at least partially attributed to the presence of a large fraction of repeated elements (73.8%). The final assembly was characterized by an N50 length of 432 kb and a BUSCO score of 95.5%. The heterozygosity rate was ± 0.6%. Automated genome annotation informed by RNA-Seq resulted in 40,568 predicted proteins, which is much larger than the typical range 17,000–23,000 predicted for other Coleoptera. However, no evidence of a genome duplication was detected. This new reference genome will contribute to our understanding of genetic variation in the Coleoptera. Among others, it will also allow exploring reproductive barriers between species, investigating introgression in the nuclear genome, and identifying genes involved in resistance to extreme climate conditions.
Spectral models for seismological source parameters, path attenuation and site-effects in Alborz region of northern Iran
Authors: Davatgari Fami Tafreshi Mehran , Bora Sanjay Singh , Mirzaei Noorbakhsh , Ghofrani Hadi , Kazemian Javad 
Published: June 2021

SUMMARYWe analysed 478 three-component strong ground motion time-series from 65 events in the moment magnitude (Mw) 3–6.5 range recorded at 111 stations at distances up to 150 km from 1997 to 2019 in the Alborz region. Non-parametric spectral functions for seismological source, path and site-effects were derived from Fourier amplitude spectra of observed acceleration time-histories using the generalized inversion technique (GIT) for the Alborz region of Iran. To characterize the spectral models in terms of the anelastic attenuation (Q), geometrical spreading, magnitude and stress parameter (Δσ), we fitted non-parametric attenuation and source functions (resulted from inversion) with the standard parametric models. The frequency-dependent non-parametric attenuation function shows a rapid decay at close distances (&lt;60 km) and decreases monotonically at larger distances. The frequency-independent geometrical spreading follows a bilinear hinged model with a crossover distance at 70 km. For hypocentral distances Rhypo &lt; 70 km, the geometrical spreading is ${R^{ - 1.01}}$, and for Rhypo &gt; 70 km it is ${R^{ - 1.37}}$. The corresponding quality factor is $Q\ ( f ) = \ 146{f^{0.91}}$. The non-parametric source spectra were found in a good agreement with Brune's ω-squared model. The stress-parameter (Δσ) values were found to exhibit large variability from 0.36 to 86.7 MPa with no significant magnitude-dependence. The average Δσ was found to be 8.6 MPa. The mean value of the estimated near-surface attenuation (κ0) from high-frequency part of non-parametric source function is 0.032 s (±0.01 s). In general, there is a good agreement between subsoil resonance frequencies and amplification levels estimated from GIT and HVSR (horizontal to vertical spectral ratio). The results of this study provide updated values of seismological source, attenuation and site properties in the Alborz region of northern Iran, which are expected to improve regional seismic hazard analysis studies in the region.
Sowing and Cultivating the Seed of Diversity in Agri-Food: Intellectual Property Protection in Transnational and Comparative Perspective
Authors: Granieri Massimiliano 
Published: June 2021

Abstract
This article combines intellectual property and comparative law insights to propose an evolutionary analysis of protection for seeds in the contemporary legal order. From a regime of commons for seeds, to plant variety protection, to patents for genetically engineered plants, exclusive rights have been progressively introduced for innovators in the field of agriculture to provide incentives in a world of growing need for food and raw materials. Such evolution has caused reduced common practices in agriculture that implied the freedom to save and exchange seeds. Among other values, a potential loss of biodiversity is the consequence. Likewise, legal systems tend to converge towards certain models of protection for innovators, although regulatory competition can exert significant pressure on states to preserve alternative models and offer solutions that balance all the values at stake.**