bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Development of Autofeed Pneumatic Punching and Riveting Machine.
Authors: Arunkumar G , Tison Antonio J , Pon Velayutham 
Published: October 2021

Abstract
Metal as sheets are more significant. However, metal as sheets can’t be straightforwardly utilized, activities like punching, blanking, twisting, riveting, and so forth are should be done on the metal sheets. For these activities, most enormous scope fabricating businesses utilize powerfully worked machines which are not savvy, generally little and medium scale enterprises utilize hand-worked machines for completing sheet metal activity which are moderate. 6 bar pressure is enough for these machines to work. The compressed air is going through the cylinders to the chamber powers the cylinder out which thus incites the cylinder down which thus does the way toward punching or riveting. This empowers us to utilize various kinds of hardware to perform various tasks. After the consummation of punch or rivet in the sheet metal the compressed air flows to the lower part of the chamber which incites the cylinder upwards so the metal is liberated from the tool and the following punch or rivet measure is made accessible. As per the functioning material the functioning pressing factor can be changed. This empowers us to utilize various kinds of punch or rivet apparatus which helps in bringing about a wide scope of items.
Experimental investigation of IC engine performance using calophylum inophylum biodiesel
Authors: Kalra Shivansh , Agarwal Ayush , Arul Kumar S , Mathanraj V 
Published: October 2021

Abstract
With a higher energy demand, the cost of oil is also increasing along with that the resources are vanishing at a very high pace and such conventional fuels creates environmental pollution, thus the best option is to find some clean, viable alternative for the same. Biodiesel is an available option and thus a better substitute for the IC engine fuel, It majorly restricts high emissions of the Carbon Monoxide(CO), Particulate Matter (PM), Hydrocarbon (HC) emission. Perversely, a number of experiments are conducted on a single blended bio fuel. This paper concentrates on two different bio-fuel blends with diesel. Calophylum Inophylum oil used for controlling the emission from the exhaust and subsequently improves the performance of an engine. The parameters are as follow: Brake thermal efficiency (BTE), specific fuel consumption and exhaust emission were noted. Lower the blends of biofuel more will be the thermal efficiency and thus it too reduces the specific fuel consumption. Calophylum Inophylum oil is used to prepare biodiesel blends ie (B20 and B40). The combustion characteristics investigated are cylinder gas pressure and heat release rate. Investigation is carried out at various loads and varying crank angles. The emissions at exhaust end were decreased while an increase was noted when the parts of biodiesel in the blend formed. This itself is sufficient to prove the viability and potential of the biofuel as an alternative to the conventional fuel being used to run an IC engine.
Performance investigation on solar still with plate fins and latent heat energy storage
Authors: Sathish Kumar T R , Balaji G , Mohamed Shihan M , Nithish Kumar A , Pranav J 
Published: October 2021

Abstract
Solar still is a cheap and portable solar distillation system that can purify brackish water into potable water and is ideal for domestics use. Low productivity is a major issue that needs to be addressed in solar stills. In the present work, the efficiency of the fabricated single slope single basin solar still was enhanced by the incorporation of plate fins over the basin liner of the still. The daily productivity was further increased by attaching a latent heat energy storage unit to the still. Paraffin wax was used as phase change material (PCM) in the energy storage unit. Experiments were conducted on modified solar still for the following two cases (i) with mere plate fins and (ii) with plate fins and PCM. A 40.6% increase in productivity was observed for the solar still with mere fins and the productivity is increased by 94.51% for the solar still incorporated with both fins and PCM when compared with that of conventional still.
Review on Process Development and Challenges in Biomass Pyrolysis
Authors: Nanditta R V , Goyal Kunal , Nagulash Rahul B , Balaji G 
Published: October 2021

Abstract
In recent times, the escalation of greenhouse gases, air pollution and depletion of the ozone layer has enforced the researchers to renovate the regular use of fossil fuels into alternate methods which are non-toxic, eco-friendly, and cost-effective. Biomass is one of the traditions to swap fossil fuels. Biomass can be transmogrified into beneficial and eco-friendly forms of energy under various conversion processes. The obtained energy can be used for heating water, industrial heating process, and generating electricity. Pyrolysis is a method to alter biomass into useful products, as the final yields of this process include bio-oil, char, methane (CH4), hydrogen (H2), carbon monoxide (CO) and carbon dioxide (CO2). It is well known for its high efficiency and environmental performance. In this method even the agricultural residues, waste woods, solid municipal waste, plant wastes can be utilized. This review comprehends the various concepts on products of biomass pyrolysis, mechanisms, and several pre-treatment processes used for efficient pyrolysis of biomass have been analysed. The impact of various fundamental constraints such as temperature, heating rate, particle size was studied and their influence on yield and composition were studied.
Comparison of performance and emission characteristics of diesel engine fuelled with different blends of bio-diesel
Authors: Das Nirab Kumar , Gowtham R , Venkatesan Atthreya , Malarmannan S , Manikanda Raja G 
Published: October 2021

Abstract
In these times of potential energy crisis and climate change, search for alternative sources for conventional fuel has led us to bio-diesel. Vegetable oils are typically highly dense and viscous and to overcome it we prefer the methyl ester of the oil. In our study we have used methyl ester of Palm stearin oil, which can be found in our country (India) abundantly, and conducted emission and performance tests on a non-modified diesel engine. Diesel along with four different blends of 5%, 10%, 20% and 30% by mass were used to carry the tests in different loading conditions. The results have shown promising possibility of the use of palm-stearin oil blended bio-diesel as CO, NOX and HC emissions reduced and B-30 provided the best mechanical efficiency.
R1234yf/R134a Based Refrigerant Mixture for Automobile Air Conditioning Systems: A Thermodynamic Approach
Authors: Prabakaran Rajendran , Somasundaram P , Sidney Shaji , Sanjeev K , Mohamed Fasil , Subathran VM 
Published: October 2021

Abstract
The environmental protocols lead to analysing various refrigerants minimum global warming potential (GWP) to substitute high GWP R134a in an automobile air conditioning (AAC) system. The present study deals with the thermodynamic analysis of the AAC unit using R1234yf/R134a refrigerant mixtures under three-vehicle speed conditions such as idling (L-900 rpm), city limit (M-1800 rpm), and high speed (H-2700 rpm). The mass fractions of R1234yf/R134a such as 0:1, 1:0, 0.9:0.1, 0.8:0.2, 0.7:0.3, 0.6:0.4 and 0.5:0.5 were considered in this analysis. The cooling capacity and coefficient of performance (COP) of R1234yf were observed to be poorer than that of the existing R134a by up to 10.4% and 8.3%. The addition of R134a in R1234yf reduced the performance gap between the existing R134a system under all the speed conditions. There was an increase cooling capacity and COP of the AAC by up to 6.4% and 4.9% was found with the addition of 0.5 mass fraction of R134a in R1234yf. However, the GWP of the refrigerant mixture was increased with rise in R134a mass fraction of which causes more direct CO2 emission from the AAC system. This study prevailed that the use of R1234yf/R134a mixture (0.5:0.5 by a mass fraction) performed very much similar to that of R134a in the AAC unit. Further, the R1234yf/R134a mixture (0.9:0.1 by a mass fraction) is suggested to use in the AAC system to satisfy the environmental protocols (GWP < 150).
Numerical analysis of vertical axis wind turbine with the wing profile of NACA0021
Authors: Sathiyamoorthy K , Gorli Sai Subhash , Sai Pothireddy Karthik , Nandha Sri Varma N 
Published: October 2021

Abstract
A model of Vertical Axis Wind Turbine (VAWT ) with the wing profile of NACA0021 is created for testing purpose in the modeling software. The numerical test is conducted in the profile using two equation turbulence model. The result is presented here. The visualization part of blade is showing the detailed region of both velocity and pressure. The large number of simulation is performed for attaining the maximum performance of the blade with different tip speed ratio. The result shows the average co-efficient of performance of 0.27 at the tip speed ratio of 2.5. The flow visualization is studied at the simple level.
Foresight of promising scientific fields in scientific social networks
Authors: Orlova Y A , Pronichkin S V , Mamai I B , Kholstov A V 
Published: October 2021

Abstract
Currently, the problem of developing methods for determining promising directions, trends in scientific research and technology is the most important component of the process of forming a national science policy. The problem of finding priority or breakthrough areas of development is reduced to sorting out in one form or another and assessing possible existing areas of scientific activity. It is proposed to use a semantic network of communicative information space, in which the structuring of the subject area is based on the selection of objects and identifying features, which include not only features-properties, but also features-relationships. A module for traversing elements of a scientific social network by reference graph has been implemented, as well as an algorithm for determining the level of importance of a scientific direction according to multiple criteria.
Scientific and technical programs’ actors absorption capacity multicriteria analysis network models
Authors: Ulyev A D , Pronichkin S V , Kholstov A V , Mamai I B 
Published: October 2021

Abstract
Scientific and technical programs are an important means of implementing the priority directions of the science and technology development. The key features of scientific and technical programs for the formation of demand and supply for scientific knowledge are considered, the classification of the programs main types is carried out. Criteria for assessing the potential and activity of the scientific and technical programs actors were developed. Dynamic models of the system analysis of the scientific and technical programs actors’ absorption capacity according to many criteria based on the data envelopment analysis methodology are proposed.
Using evolutionary algorithms to determine the environmental projects effectiveness
Authors: Mamai I B , Savelyev B I , Pronichkin S V , Kholstov A V 
Published: October 2021

Abstract
Environmental projects have a high degree of uncertainty and risk of their implementation. In the process of assessing their effectiveness, it is necessary to take into account the interests of all the participants in the environmental project. The environmental projects effectiveness evaluation is formalized in the form of a mathematical problem of nonlinear programming with Boolean variables with constraints such as equality and inequality. To solve it, the interactive genetic algorithm for the environmental projects implementation trajectory formation was developed.
Formation of descriptors for medical risk classifiers based on the current-voltage characteristics of biologically active points
Authors: Miroshnikov A V , Kiselev A V , Shatalova O V , Kadyrova Sofiya 
Published: October 2021

Abstract
Diagnosis of many diseases can be achieved using the electrical response of bioactive points on patient’s body. Predictions are made by analyzing the electrical response of patients’ biologically active points. To analyze the impact on the organ, values of the current strength in the organ were measured and the changes of the passive electrical properties on selected bioactive locations on the body. The research goal is to develop a classification neural network model to predict post-surgery complication risk for prostate surgery. The obtained current-voltage characteristics is used as input in the classification artificial neural network model that predicts two classes. The dataset involves medical information of 120 patients diagnosed with prostate disease. Descriptors are composed of the analysis of five current-voltage characteristics. Neural network classifiers prediction shows a high capacity to predict critical conditions. The developed model is valuable because it can be used in beepers for prenosological diagnosis of infectious diseases. The 3 BAP models using I – Taiyuang, IX – Daling, and V – Shenmen configuration produced the highest accuracy. The accuracy of the classifier ranged from 80% to 82%.
Towards designing knowledge bases for aircraft malfunctions diagnostics based on model transformations
Authors: Kotlov Y V , Popov V M , Yurin A Y 
Published: October 2021

Abstract
The paper describes a method of forming prototypes of knowledge bases for the interactive electronic technical manual for RRJ-95 troubleshooting. The method includes three main stages: the formation of an ontology for diagnosing an aircraft malfunctions; the formation of event trees that describe the sequence of operations to eliminate specific malfunctions; the construction of knowledge bases that codify the basic concepts of the ontology and trees formed. At each stage, the following software are used: Protégé, Extended Event Tree Editor (EETE), and Personal Knowledge Base Designer (PKBD). Data-driven integration of software is implemented through model transformations. The description of the main stages of the method; the table of correspondences used in the implementation of model transformations, as well as an illustrative example are presented.
Semantic patent analysis with Amazon Web Services
Authors: Manukyan A , Korobkin D , Fomenkov S , Kolesnikov S 
Published: October 2021

Abstract
Semantic analysis of the patent array allows us to solve several modern problems: (1) Clustering of the patent array. This information can be useful for identifying patent trends, key modern technologies, and predicting the demand for technologies in the future period; (2) Automation of the work of the patent office expert. Based on a full-text query (the text of a patent application), a search for analogous patents can be performed. This study describes a developed software that provides the possibility of clustering the patent array (topic modeling), identifying groups of related patents (not based on patent classification but on the basis of key terms/phrases extracted from the texts), and a search for patents using AWS technologies.
Creating an artificial neural network for predicting the dynamics of retrospective yield series
Authors: Rogachev A F 
Published: October 2021

Abstract
The article considers the specifics of constructing an artificial neural network (ANN) for predicting the dynamics of time series levels (TS) of grain yield in arid conditions on the example of the Volgograd region. In order to justify the choice of the architecture and hyperparameters of ANN, a preliminary statistical analysis of the simulated TS was performed. The autocorrelation functions of the retrospective yield series constructed in this case can be taken into account when choosing ANN hyperparameters for predicting grain yield. A number of ANN architectures based on recurrent layers, including LSTM, were analyzed. The best results of neural network modeling are obtained for cascading groups of layers of a seriesparallel architecture. The proposed neural network technology for predicting TS yield levels using a pre-forecast autocorrelation analysis of retrospective levels reduces the error of short-term forecasting of grain yield in the arid natural and climatic conditions of the Lower Volga region. Taking into account the results of autocorrelation analysis allows you to choose the values of ANN hyperparameters more reasonably. The achieved accuracy of the regression problem was 82..87%, which can be considered acceptable for planning agricultural production for 1-2 years. The ways of improving the accuracy of the neural network solution of the problem of predicting productivity in the arid conditions of the Lower Volga region using retrospective TS of productivity are formulated.
An integrated comparative physiology and molecular approach pinpoints mediators of breath-hold capacity in dolphins
Authors: Blawas Ashley M , Ware Kathryn E , Schmaltz Emma , Zheng Larry , Spruance Jacob , Allen Austin S , West Nicole , Devos Nicolas , Corcoran David L , Nowacek Douglas P , Eward William C , Fahlman Andreas , Somarelli Jason A 
Published: October 2021

Abstract

Background and objectives
Ischemic events, such as ischemic heart disease and stroke, are the number one cause of death globally. Ischemia prevents blood, carrying essential nutrients and oxygen, from reaching tissues, leading to cell and tissue death, and eventual organ failure. While humans are relatively intolerant to ischemic events, other species, such as marine mammals, have evolved a unique tolerance to chronic ischemia/reperfusion during apneic diving. To identify possible molecular features of an increased tolerance for apnea, we examined changes in gene expression in breath-holding dolphins.

Methodology
Here, we capitalized on the adaptations possesed by bottlenose dolphins (Tursiops truncatus) for diving as a comparative model of ischemic stress and hypoxia tolerance to identify molecular features associated with breath holding. Given that signals in the blood may influence physiological changes during diving, we used RNA-Seq and enzyme assays to examine time-dependent changes in gene expression in the blood of breath-holding dolphins.

Results
We observed time-dependent upregulation of the arachidonate 5-lipoxygenase (ALOX5) gene and increased lipoxygenase activity during breath holding. ALOX5 has been shown to be activated during hypoxia in rodent models, and its metabolites, leukotrienes, induce vasoconstriction.

Conclusions and implications
The upregulation of ALOX5 mRNA occurred within the calculated aerobic dive limit of the species, suggesting that ALOX5 may play a role in the dolphin’s physiological response to diving, particularly in a pro-inflammatory response to ischemia and in promoting vasoconstriction. These observations pinpoint a potential molecular mechanism by which dolphins, and perhaps other marine mammals, respond to the prolonged breath holds associated with diving.
Two strains of airborne Nocardiopsis alba producing different volatile organic compounds (VOCs) as biofungicide for Ganoderma boninense
Authors: Widada Jaka , Damayanti Ema , Alhakim Mohammad Ryan , Yuwono Triwibowo , Mustofa Mustofa 
Published: October 2021

ABSTRACT
Nocardiopsis are actinobacteria which produce active compounds, such as antifungals and volatile compounds. Ganoderma boninense is a pathogenic and aggressive fungus that decreases palm oil yield during production. In this study, we isolated two strains of Nocardia (GME01 and GME22) from airborne contaminants on the actinobacteria culture collection in the laboratory. The aim of this study is to identify two strains of Nocardiopsis and to obtain the antifungal potency of volatile organic compounds (VOCs) against G. boninese. We characterized the morphology using Scanning Electrone Microscope (SEM), molecular properties and whole-cell protein spectra using Matrix Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS), antifungal assay on G. boninense and VOCs analysis of Nocardia using solid phase micro extraction/gas chromatography (SPME/GC). The two Nocardiopsis strains had the similar characteristic such as white aerial mycelium and spores, aerobic, grow well on ISP-2, TSA and NA medium without diffusible pigment and had the highest similarity with Nocardiopsis alba DSM 43377 (99.63% and 99.55% similarity for GME01 and GME22, respectively), Different morphological feature was found in aerial mycelium and spores. GME22 has a clearly fragmented mycelium whereas GME01 has none. Other features also showed different on the whole-cell protein spectra, antifungal activity and VOCs profiles. Antifungal activity assay on G. boninense showed that N. alba GME22 has higher antifungal activity than GME01 related with the VOCs abundance in two strains. Almost 38.3% (18 VOCs) of N. alba GME22 and 25.5% (12 VOCs) of N. alba GME01 were found specifically in each strain, and 36.2% (the 17 same VOCs) produced by both. The known volatile antifungal compounds S-methyl ethanethioate, 1,2-dimethyldisulfane, acetic acid, 2-methyl propanoic acid, 3-methyl-butanoic acid, nonan-2-one, undecan-2-one and 2-isopropyl-5-methylcyclohexan-1-ol only produced by N. alba GME22 and 1,3-dimethyltrisulfane only produced by N. alba GME01. A total of two known antifungal compounds 1,2-dimethyldisulfane and 6-methylheptan-2-one were produced by both N. alba. The abundance of antifungal VOCs produced by these bacteria is potentially to be used as biocontrol agent for pathogenic fungi in plants.
Genome-wide analysis of acute low salinity tolerance in the eastern oysterCrassostrea virginicaand potential of genomic selection for trait improvement
Authors: McCarty Alexandra J , Allen Standish K , Plough Louis V 
Published: October 2021

AbstractAs the global demand for seafood increases, research into the genetic basis of traits that can increase aquaculture production is critical. The eastern oyster (Crassostrea virginica) is an important aquaculture species along the Atlantic and Gulf Coasts of the United States, but increases in heavy rainfall events expose oysters to acute low salinity conditions, which negatively impact production. Low salinity survival is known to be a moderately heritable trait, but the genetic architecture underlying this trait is still poorly understood. In this study, we used ddRAD sequencing to generate genome-wide single-nucleotide polymorphism (SNP) data for four F2 families to investigate the genomic regions associated with survival in extreme low salinity (&lt;3). SNP data were also used to assess the feasibility of genomic selection (GS) for improving this trait. Quantitative trait locus (QTL) mapping and combined linkage disequilibrium analysis revealed significant QTL on eastern oyster chromosomes 1 and 7 underlying both survival and day to death in a 36-day experimental challenge. Significant QTL were located in genes related to DNA/RNA function and repair, ion binding and membrane transport, and general response to stress. GS was investigated using Bayesian linear regression models and prediction accuracies ranged from 0.48 to 0.57. Genomic prediction accuracies were largest using the BayesB prior and prediction accuracies did not substantially decrease when SNPs located within the QTL region on Chr1 were removed, suggesting that this trait is controlled by many genes of small effect. Our results suggest that GS will likely be a viable option for improvement of survival in extreme low salinity.