bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of performance parameters of a four stroke diesel engine experimented with blends of vegetable oil biodiesel
Authors: Bharti Deepali , Jain Pushpdant , Koshti Bhupendra , Nag Rajesh 
Published: June 2021

Abstract
Fossil fuel consumption is increasing in a massive amount due to its applications in various sectors. Moreover, use of such fuels creating harmful fumes and gases, which in turn creating an impact on the environment. To reduce the impact on the environment, researchers are continuously trying to research and propose various alternative fuels. In the current study, the Biodiesel was produced from waste soyabean oil and utilized as a fuel in combustion-ignition engine. A four stroke, single cylinder and water-cooled, combustion ignition engine connected is connected with a dynamometer and its performance is checked with prepared Biodiesel. A mixture of waste soyabean oil with pure diesel is mixed with different proportions of blends such as 10%, 20% and 30% to conduct the experiments. Various experiments with different conditions were considered to identify the effect of prepared Biodiesel blends. The experiment results showed that among all blends of Biodiesel, the 20% blend of Biodiesel had given the best results for maximum considered parameters. Such as at highest load of 15 kg, the Brake thermal efficiency obtained maximum as 22.45%, 21.8%, 19.8 and 16.6% for 20%, 10%, pure diesel and 30% blend of Biodiesel. It can be inferred from the experimental investigation suggests that the blended Biodiesel may be considered as an alternate fuel in a four-stroke, single-cylinder diesel engine without any modification in the existing engine. The obtained experimental results may be further utilised to perform the various analysis to enhance engine working conditions.
Experimental and analytical investigation on high performance concrete-filled steel tube stub columns under axial load
Authors: Harini B , Lingeshwaran N , Siva Kishore I 
Published: June 2021

Abstract
There has been an enormous improvement in the construction field in recent few decades among these; construction and material innovation are quite prominent. Concrete - steel composite part is one rising advance as perhaps the fastest technique for development. Steel tube with filled concrete is used to create a composite column. Experimental and theoretical work on high-performance CFST stub columns under axial load is explored in this paper. The parameters included in this study are diameter and thickness of steel tubes, mix design of high-performance concrete & ultimate load-carrying capacity. Six composite stub columns are cast and tested. The design formulas of CFST under axial loading are predicted using EUROCODE 4, ACI 318-95, AS 3600 & AS 4100. The finite element modeling of this composite column is done by using ABAQUS software.
Additive manufacturing of multi-functional biomaterials for bioimplants: a review
Authors: Paul Shubhadip , Nath Ananya , Roy Shibendu Shekhar 
Published: June 2021

Abstract
Additive manufacturing (AM) has been emerged recently as a promising technique to manufacture biomaterials for bioimplants creating a high impact in the field of medical science and research. AM technologies facilitate fabrication of the micro- as well as macro- architectural framework of orthopaedic bioimplants both internally and externally with higher precision and flexibility. The topological as well as geometrical porous nature of metallic biomaterials by means of controlled AM processes for fabrication of bioimplants can be adapted with high precision, leading to the upgradation of mechanical properties for bone-mimicking with improved biodegradation features. The increasing demand for the application of multi-functional biomaterials to manufacture metallic bioimplant sas substitute of bonecon fronts the current additive manufacturing technologies. In this paper, recent technological advancement in the manufacturing of Ti-, Mg- and Fe-based biomaterials utilizing multi-material AM technologies is being reviewed for identifying the knowledge gaps and come up with the directions of further researches leading to the progress of multi-material based additive manufacturing technologies to fabricate metallic bioimplants by virtue of multi-functional biomaterials.
Influence and Application of Poka-Yoke Technique in Automobile Manufacturing System
Authors: Kumar Rajan , Dwivedi Ravi Kumar , Dubey Sudhir K , Singh Anoop Pratap 
Published: June 2021

Abstract
Manufacturing defect are most important parameter to improve the quality of product for the all-manufacturing industries. In the manufacturing sector day by day new tool and new techniques are apply for the improve the quality manufacturing at low cost. In this practical study discussed about the most important tool of lean manufacturing is poka-yoke (mistake proofing) technique. In all the manufacturing sector, a lot of small-small problem is affected the product quality and cost. In this paper the 70×90×10 oil seal mixing poka-yoke is solved for the improvement of quality of the product and save the manufacturing cost.
Creeping flow around a spherical particle covered by semipermeable shell in presence of magnetic field
Authors: Namdeo R. P. , Gupta B. R. 
Published: June 2021

Abstract
This paper deals the MHD slow viscous motion of electrically conducting fluid over a rigid sphere surrounded by a concentric permeable sphere. Darcy’s equation is adopted to describe the motion in semipermeable region and Stokes equation is applied to describe the flow of viscous fluid region. For both flow fields, stream functions are calculated. The resistance force on composite sphere is obtained and variation of drag force with respect to different parameters has been plotted graphically. Some limiting cases are deduced and compared with the solution derived in other research papers. We observed that drag force increases with increasing magnetic field.
Development of a low-cost monitoring system for open 3 d printing
Authors: Khandpur M S , Galati M , Minetola P , Marchiandi G , Fontana L , Stiuso V 
Published: June 2021

Abstract
3D printers for Rapid Prototyping and Additive Manufacturing have been widely accepted by large and small-scale industries or by many hobbyists. Due to its nature of layer by layer addition of material, identifying defects between the layers can be a crucial strategy to determine the quality of a 3D printed product by carefully monitoring the layerwise process during part building. This kind of approach gives an advantage in the applications where 3D printing of products requires high customization without compromise on part quality. In this work, a low-cost camera is installed in an open 3D printer, and computer vision algorithms are used to implement an in-situ monitoring system. The defects can be evaluated by comparing the printed layer to the deposition path of the open ISO G-code. The G-code printing file is modified to introduce the image capture step after each layer. The value of the area of missing or exceeding material is returned to the user with the corresponding images. A decision can be made to abort the job in case of important defects to avoid unnecessary waste in material, time, and costs.
Grey wolf optimizer and other metaheuristic optimization techniques with image processing as their applications: a review
Authors: Kumar Alok , Lekhraj  , Singh Safalata , Kumar Anoj 
Published: June 2021

Abstract
Image processing is an evolutionary field in the domain of computer vision that currently has a comprehensive spectrum of applications. It is being employed in image segmentation, image classification, medical imaging, image compression, etc. A lot of real-world prominent issues are tackling employed through these application techniques. These techniques can be employed by means of various algorithms; however, these offered immensely dominant outcomes with existing and modified optimization algorithms. Some of the metaheuristic optimization algorithms applied during the above techniques include Ant Colony Optimization (ACO), Genetic Algorithm (GA), Bat Algorithm (BA), Grey Wolf Optimizer (GWO), Evolutionary Strategy (ES), Particle Swarm Optimization (PSO), Genetic Programming (GP), and so forth. Hence, this manuscript’s main objective is that the study of several applied optimization algorithms and their variants thus lead to the various domain of image processing concludes it work more efficiently and robustly.
Glycosuria sensing based on nanometric plasmonic polaritons
Authors: Sahu S , Jain P K , Mudgal N , Singh G 
Published: June 2021

Abstract
Surface Plasmon waves exhibit an interesting characteristic of enclosing light above the diffraction limit. In this work surface plasmon sensor using metal-insulator-metal configuration is demonstrated for an application of Glycosuria detection. The sensing device possesses a slot waveguide and an elliptic cavity in a metallic substrate. On injection of TM polarized mode, surface Plasmon wave coupled with cavity causes the generation of resonating modes the shift in resonant frequency is utilized to detect glucose concentration in urine. The device’s operation is investigated using the Finite Difference Time Domain (FDTD) method. The proposed sensor’s sensitivity is evaluated to be 792.80nm/RIU, with a figure of merit of 113.25.Based on the analysis, it is remarked that the device is suitable for an on-chip application.
The Influence of Magnet Number and Dimension on Torque Characteristics in the Interior Permanent Magnet Synchronous Motor (PMSM)
Authors: Yulianto K , Yusivar F , Sudiarto B 
Published: June 2021

Abstract
Permanent magnet synchronous motors (PMSMs) are commonly used in electric vehicles because they have specific advantages such as high power density, high torque, and high efficiency. This paper presents the design of an interior permanent magnet (IPM) rotor motor with 5kw capacity as an electric motorcycle propulsion machine. Principal design calculations obtain initial design parameters. The choice of using a magnet dimension has a significant impact on performance. Optimization is applied to achieve the required torque characteristics by varying the permanent magnet size with fixed volume and length. The simulation is performed using finite element analysis software to obtain the speed and torque characteristics. The results showed that the motor torque was higher with a wider magnet scale and fewer magnets per pole. Furthermore, using thicker magnets obtained better motor efficiency. Hence, this needs to be taken into consideration when designing the motor according to torque specifications.
The Effect of 12 Pulse Converter Input Transformer Configuration on Harmonics of Input Current
Authors: Surya Hasan 
Published: June 2021

Abstract
This paper discusses the effect of the 12-pulse converter input transformer configuration on the input harmonic currents. This is done because there are many transformer connection configurations, which according to the standard there are 5 transformer connection groups. The research method begins with a literature study on the 12-pulse converter. Next, determine the specifications of the 12-pulse converter and build the 12-pulse converter. Then, a theoretical analysis was carried out on the waveform of the 12-pulse converter current with the Dy11/d0 and Yd1/y0 input transformer configurations. From the analysis and simulation results, it was found that the THDi of the two 6 pulse converters obtained 29% THDi, while the 12-pulse converter inputs side obtained 11.59%-13,6% THDi. The input transformer configuration does not affect the THDi results, except for the power sent by the 12-pulse converter with the input transformer configuration Yd1_y0 to 1/3 compared to the Dy11_d0 connection.
Virtual Reality Utilization as a Character– building of Children in Waste Problems
Authors: Abioso W S , Imam A I , Maulana Y I , Prasetyo M J 
Published: June 2021

AbstractThis paper aims to explain the benefits of Virtual Reality (VR) technology as an alternative solution to limited facilities in building children’s awareness of waste problems. The method used is a descriptive method that explains how Indonesians treat waste and validates the effectiveness of using VR to develop an awareness of waste. The results showed that children are now more interested in using VR in education to care about the earth’s environment. This can happen because it is interactive, but the immersive effect impacts the effectiveness of the learning experience felt by children. The use of Virtual Reality is the main solution with the latest technology in overcoming waste problems in Indonesia by building character since childhood.
Developing Information System of Population
Authors: Rohmawati T , Khotimah S , Difa L , Efrianto B 
Published: June 2021

Abstract
This research aims to develop information systems in the population administration section in Pahlawan subdistrict in Palembang to facilitate the collection of the population in the subdistrict quickly and accurately. To support the research, we use qualitative methods in descriptions and interviews with several subdistrict employees. The result analysis shows that in Pahlawan subdistrict still uses Information System in Microsoft Excel to record population data; it has not been automated and slow in adding, changing, or deleting data and other population data collections. This study shows that the development of the Visual Studio Information System can provide many conveniences in processing population data. The conclusion of this study is that by creating a population administration information system, the processing of population data such as family card data, birth data, death data, and moving data can be done more quickly and accurately because the data input can be connected well and the data is stored centrally in the database and can facilitate in making population reports based on data that has been inputted into the information system. The impact of this research resulted in a design of an information system that is expected to be used and help Pahlawan subdistrict in recording population data as a useful source of information for decision making in government, especially for Pahlawan subdistrict to be more effective and efficient.
Pharmacoepidemiology, Machine Learning, and COVID-19: An Intent-to-Treat Analysis of Hydroxychloroquine, With or Without Azithromycin, and COVID-19 Outcomes Among Hospitalized US Veterans
Authors: Gerlovin Hanna , Posner Daniel C , Ho Yuk-Lam , Rentsch Christopher T , Tate Janet P , King Joseph T , Kurgansky Katherine E , Danciu Ioana , Costa Lauren , Linares Franciel A , Goethert Ian D , Jacobson Daniel A , Freiberg Matthew S , Begoli Edmon , Muralidhar Sumitra , Ramoni Rachel B , Tourassi Georgia , Gaziano J Michael , Justice Amy C , Gagnon David R , Cho Kelly 
Published: June 2021

AbstractHydroxychloroquine (HCQ) was proposed as an early therapy for coronavirus disease 2019 (COVID-19) after in vitro studies indicated possible benefit. Previous in vivo observational studies have presented conflicting results, though recent randomized clinical trials have reported no benefit from HCQ among patients hospitalized with COVID-19. We examined the effects of HCQ alone and in combination with azithromycin in a hospitalized population of US veterans with COVID-19, using a propensity score–adjusted survival analysis with imputation of missing data. According to electronic health record data from the US Department of Veterans Affairs health care system, 64,055 US Veterans were tested for the virus that causes COVID-19 between March 1, 2020 and April 30, 2020. Of the 7,193 veterans who tested positive, 2,809 were hospitalized, and 657 individuals were prescribed HCQ within the first 48-hours of hospitalization for the treatment of COVID-19. There was no apparent benefit associated with HCQ receipt, alone or in combination with azithromycin, and there was an increased risk of intubation when HCQ was used in combination with azithromycin (hazard ratio = 1.55; 95% confidence interval: 1.07, 2.24). In conclusion, we assessed the effectiveness of HCQ with or without azithromycin in treatment of patients hospitalized with COVID-19, using a national sample of the US veteran population. Using rigorous study design and analytic methods to reduce confounding and bias, we found no evidence of a survival benefit from the administration of HCQ.
Population structure, activity potential and ecotype partitioning ofPseudoalteromonasalong the vertical water column of the New Britain Trench
Authors: Wei Wenxia , Wang Li , Fang Jiasong , Liu Rulong 
Published: June 2021

ABSTRACTMicrobial degradation of organic matter along the vertical profile of the water column is a major process driving the carbon cycle in the ocean. Pseudoalteromonas has been identified as a dominant genus in pelagic marine environments worldwide, playing important roles in the remineralization of organic carbon. However, the current understanding of Pseudoalteromonas was mainly based on shallow water populations or cultivated species. This study analyzed for the first time the structure, activity potential and ecotypes differentiation of Pseudoalteromonas in the water column of the New Britain Trench (NBT) down to 6000 m. Analysis on diversities of the 16S rRNA gene and their transcripts showed that Pseudoalteromonas was greatly enriched in deep-sea waters and showed high activity potentials. The deep-sea Pseudoalteromonas were significantly different from their shallow-water counterparts, suggesting an obvious ecotype division along with the vertical profile. Phylogenetic analysis on the 16S rRNA gene and hsp60 gene of 219 Pseudoalteromonas strains isolated from different depths further showed that the vertical ecotype division could even occur at the strain level, which might be a result of long-term adaptation to environmental conditions at different depths. The discovered depth-specific strains provide valuable models for further studies on adaptation, evolution and functions of the deep-sea Pseudoalteromonas.
AddTag, a two-step approach with supporting software package that facilitates CRISPR/Cas-mediated precision genome editing
Authors: Seher Thaddeus D , Nguyen Namkha , Ramos Diana , Bapat Priyanka , Nobile Clarissa J , Sindi Suzanne S , Hernday Aaron D 
Published: June 2021

Abstract
CRISPR/Cas-induced genome editing is a powerful tool for genetic engineering, however, targeting constraints limit which loci are editable with this method. Since the length of a DNA sequence impacts the likelihood it overlaps a unique target site, precision editing of small genomic features with CRISPR/Cas remains an obstacle. We introduce a two-step genome editing strategy that virtually eliminates CRISPR/Cas targeting constraints and facilitates precision genome editing of elements as short as a single base-pair at virtually any locus in any organism that supports CRISPR/Cas-induced genome editing. Our two-step approach first replaces the locus of interest with an “AddTag” sequence, which is subsequently replaced with any engineered sequence, and thus circumvents the need for direct overlap with a unique CRISPR/Cas target site. In this study, we demonstrate the feasibility of our approach by editing transcription factor binding sites within Candida albicans that could not be targeted directly using the traditional gene-editing approach. We also demonstrate the utility of the AddTag approach for combinatorial genome editing and gene complementation analysis, and we present a software package that automates the design of AddTag editing.
Determinants of Total End-of-Life Health Care Costs of Medicare Beneficiaries: A Quantile Regression Forests Analysis
Authors: Li Lihua , Hu Liangyuan , Ji Jiayi , Mckendrick Karen , Moreno Jaison , Kelley Amy S , Mazumdar Madhu , Aldridge Melissa 
Published: June 2021

Abstract

Background
To identify and rank the importance of key determinants of end-of-life (EOL) health care costs, and to understand how the key factors impact different percentiles of the distribution of health care costs.

Method
We applied a principled, machine learning-based variable selection algorithm, using Quantile Regression Forests, to identify key determinants for predicting the 10th (low), 50th (median), and 90th (high) quantiles of EOL health care costs, including costs paid for by Medicare, Medicaid, Medicare Health Maintenance Organizations (HMOs), private HMOs, and patient’s out-of-pocket expenditures.

Results
Our sample included 7 539 Medicare beneficiaries who died between 2002 and 2017. The 10th, 50th, and 90th quantiles of EOL health care cost are $5 244, $35 466, and $87 241, respectively. Regional characteristics, specifically, the EOL-Expenditure Index, a measure for regional variation in Medicare spending driven by physician practice, and the number of total specialists in the hospital referral region were the top 2 influential determinants for predicting the 50th and 90th quantiles of EOL costs but were not determinants of the 10th quantile. Black race and Hispanic ethnicity were associated with lower EOL health care costs among decedents with lower total EOL health care costs but were associated with higher costs among decedents with the highest total EOL health care costs.

Conclusions
Factors associated with EOL health care costs varied across different percentiles of the cost distribution. Regional characteristics and decedent race/ethnicity exemplified factors that did not impact EOL costs uniformly across its distribution, suggesting the need to use a “higher-resolution” analysis for examining the association between risk factors and health care costs.
N-glycan structures of Wisteria floribunda agglutinin-positive Mac2 binding protein in the serum of patients with liver fibrosis
Authors: Noro Erika , Matsuda Atsushi , Kyoutou Takuya , Sato Takashi , Tomioka Azusa , Nagai Misugi , Sogabe Maki , Tsuruno Chikayuki , Takahama Yoichi , Kuno Atsushi , Tanaka Yasuhito , Kaji Hiroyuki , Narimatsu Hisashi 
Published: June 2021

Abstract
The extent of liver fibrosis predicts prognosis and is important for determining treatment strategies for chronic hepatitis. During the fibrosis progression, serum levels of Mac2 binding protein (M2BP) increase and the N-glycan structure changes to enable binding to Wisteria floribunda agglutinin (WFA) lectin. As a novel diagnostic marker, glycosylation isomer of M2BP (M2BPGi) has been developed. However, its glycan structures recognized by WFA are unclear. In this study, we analyzed site-specific N-glycan structures of serum M2BP using Glyco-RIDGE (Glycan heterogeneity-based Relational IDentification of Glycopeptide signals on Elution profile) method. We evaluated five sample types: (1) M2BP immunoprecipitated from normal healthy sera (NHS-IP(+)), (2) M2BP immunoprecipitated from sera of patients with liver cirrhosis (stage 4; F4-IP(+)), (3) M2BP captured with WFA from serum of patients with liver cirrhosis (stage 4; F4-WFA(+)), (4) recombinant M2BP produced by HEK293 cells (rM2BP) and (5) WFA-captured rM2BP (rM2BP-WFA(+)). In NHS-IP(+) M2BP, bi-antennary N-glycan was the main structure, and LacNAc extended to its branches. In F4-IP(+) M2BP, many branched structures, including tri-antennary and tetra-antennary N-glycans, were found. F4-WFA(+) showed a remarkable increase in branched structures relative to the quantity before enrichment. In recombinant M2BP, both no sialylated-LacdiNAc and -branched LacNAc structures were emerged. The LacdiNAc structure was not found in serum M2BP. Glycosidase-assisted HISCL assays suggest that reactivity with WFA of both serum and recombinant M2BP depends on unsialylated and branched LacNAc and in part of recombinant depends on LacdiNAc. On M2BPGi, the highly branched LacNAc, probably dense cluster of LacNAc, would be recognized by WFA.