bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adhesion Property of Self-lubricating Si/MoS2 Nanocoating at Nano-scale Level
Authors: Banday Summera , Wani M.F. , Junaid Mir M. , Parveez Bisma 
Published: November 2019

Abstract
Nanoscratch test was performed on self-lubricating Si/MoS2 nanocoating of 115 nm thickness prepared by pulse laser deposited technique on Al-13Si substrate. The surface morphology and surface elemental analysis of Si/MoS2nanocoated sample were studied using Scanning electron microscope integrated with Energy dispersive X-ray spectroscopy. The structural analysis of Si/MoS2 nanocoating was conducted using X-ray diffraction and Raman spectroscopy. Nanoscratch tests were conducted at low load of 250-1250 µN to examine the adhesion, deformation and failure behaviour of the coating/substrate system. The results indicate that Si/MoS2 nanocoating show better adhesion strength at low loads. Also, in-situ scanning probe microscope images of Si/MoS2nanocoating shows plastic flow of coating with no debris and cracks on the surface. Therefore, the wear mechanism is mostly ductile and abrasive.
Antimicrobial activity of the novel metal oxide nanoparticles against selected human pathogenic bacteria
Authors: Gnanam S. , Ashokkumar R. , SenthilKannan K. 
Published: November 2019

Abstract
Antibacterial activities of the selected metal oxide nanoparticles viz., lead oxide (PbO), silver oxide (Ag2O), tin oxide (SnO2), alpha manganese sesquioxide (α–Mn2O3), cerium oxide (CeO2), silver doped tin oxide (Ag-SnO2), silver doped alpha manganese sesquioxide (Ag-α–Mn2O3), silver doped lead oxide (Ag-PbO) and silver doped cerium oxide (Ag-CeO2) have been successfully investigated against human pathogens, viz., Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and Proteus mirabilis. The antibacterial studies of the selected nanoparticles are primarily investigated by the well diffusion process. Different concentrations of the nanoparticles are analyzed by the minimal inhibitory concentration (MIC) technique. Among the metal oxide nanoparticles, the Ag-doped CeO2 nanoparticles showed maximum inhibition against E.coli, followed by against P. aeruginosa, P. mirabilis and K. pneumoniae. Further, the MIC studies showed that, the Ag-CeO2 nanoparticles exhibited maximum inhibition against human pathogenic bacteria.
Constant &Reliable Power Supply by the Smart Grid Technology in Modern Power System
Authors: Hossain Bagdadee Amam , Li Zhang , Adam Ali Abdalla Modawy 
Published: November 2019

Abstract
Modern technology depends on the constant and reliable power supply of which is a vital element of the economic development of the country. The quality of power structure under fault unsafe condition has turned into a significant analysis for the power division units. The parameter as well as current, voltage, and frequency to achieve of the power system, it will be considered value due to the electrical power distribution system is failing to obtain the continuous and reliable electrical power supply. In perspective of these, propose of the smart uninterruptible Power Supplies (SUPS) with control of self-healing is a fundamental component of the smart grid. The smart grid works with an automatic technique to deal with enhancing the reliability, efficiency and power quality of the system. In the proposed concept can interface with the sustainable power sources to achieve the cost-effective energy moreover detecting the fault earlier and providing an achievable respond for self-healing in the smart grid. This paper tries to clarify the continuous and reliable power supply with providing the conceivable solution from Smart-UPS (SUPS) with self-healing control over Smart Grid. The control system has approved through the different case studies of the functional implementation of SUPS and the self-healing control in a smart grid system.
Tensile characteristics of HDPE/Walnut shell composites
Authors: Malagi Suprit , Anawal Rajesh , Gorabal S. V. , Doddamani Mrityunjay 
Published: November 2019

Abstract
Present work deals with tensile characterization of walnut shell (WS) powder (20, 40 and 60 volume %) reinforced High Density Polyethylene (HDPE) thermoplastic composites synthesized using injection molding. Composite density and tensile modulus increases with increasing WS content wherein tensile strength of composite samples is lower as compared to neat HDPE. Specific modulus and strength show increasing and decreasing trend with higher WS loading respectively.
Methyl red/polycarbazole composites: Humidity sensing characteristics and its adsorption kinetics study
Authors: Das Madhurima , Roy Somenath 
Published: November 2019

Abstract
Here, we have portrayed the development of novel polycarbazole - organic dye (methyl red) based composite material for humidity sensing application. Polycarbazole (PCz) was synthesized by well known chemical oxidative polymerisation method and PCz-dye composite material was developed via sonochemical technique. The porous nature of this organic moiety based composite material is apparent from FESEM micrograph. The optical property is simultaneously delineated by UV-Visible spectroscopy. The surface porosity of composite material is determined by BET analysis. This composite material is very sensitive towards humidity ranges from 8% to 97%. The best repeatability of the result is observed at very low (8%-23% RH) and very high (75%-97%) RH level. Moreover, the change in capacitance value in presence of different humidity level has been modelled using Redlich-Peterson isotherm model.
Implantable Devices with Reconfigurable Biosensing Analog Front End
Authors: Arunthathi J M , Prabhakar R 
Published: November 2019

Abstract
This paper, have a tendency to develop a reconfigurable analog front end for wireless body sensing element nodes and implantable devices with reduced size. By converting voltage in to current the effort to achieve the area efficiency is taken. Because these are bio implantable chips if the numbers of transistors are reduced it will reduce lots of power and area, the circuit operation is also quick. In the proposed system, narrow swing current mirror circuit is used in the low pass filter region. By using the current mirror the same input current can be obtained at the output. At the same time the area of the chip used in the devices gets reduced. The active space of the chip is 157µm2.
Low cost solution for 3D mapping of environment using 1D LIDAR for autonomous navigation
Authors: Athavale Rutuja , Harish Ram D.S , Nair Binoy B 
Published: November 2019

Abstract
The mobile robotics industry is booming rapidly and this demands low cost alternatives to autonomous navigation. Perceiving the unknown environment is of utmost importance for the robot to navigate. In this paper, a low cost indoor navigation system for mapping of stationary environment and object detection has been presented. Algorithm to convert 1D LIDAR (Light Detection and Ranging) into 3DLIDAR has been developed. Profile of the objects that are obstacles has been plotted using a simple, one dimensional point LIDAR. The system will detect the presence and shape of the object as quickly as possible using the adaptive scanning approach.
Supercapacitor technology and its applications: a review
Authors: Gautham Prasad G , Shetty Nidheesh , Thakur Simran , Rakshitha  , Bommegowda K B 
Published: November 2019

Abstract
Battery technologies are well established and widely used technology but they offer several disadvantages like weight, volume, large internal resistance, poor power density, poor transient response. On the other hand, due to advancement in the material and other technology, Supercapacitor or Ultracapacitors or Electrostatic Double Layer Capacitor (EDLC) are a most promising energy storage device. They offer a greater transient response, power density, low weight, low volume and low internal resistance which make them suitable for several applications. This paper summarizes recent research and development in the field of supercapacitor technology. This paper gives a brief insight into the design, characteristics and applications of the supercapacitor.
Intelligent driving range predictor for green transport
Authors: Pai Sravan , Sindhu M R 
Published: November 2019

Abstract
Deployment of large number of electric vehicles has been planned in the coming years for improving fuel economy and to meet emission standards. Government of India plans to introduce subsidy/tax rebate/incentive for EV users who utilizes electrical energy in an optimal manner. The major anxiety of people opting for EV is low driving range and the accessibility of connection to the utility grid. If a facility is available to monitor battery parameters to compute power requirements and to list out nearest charging stations, it will help EV users a lot. This paper proposes an intelligent monitoring and predicting scheme for battery state of charge, driving range and other useful information. The scheme is validated with MATLAB/Simulink simulation results.
Using blockchain technology for file synchronization
Authors: Khan MD. Ibrahim , Faisal Fahad , Azam Sami , Karim Asif , Shanmugam Bharanidharan , De Boer Friso 
Published: November 2019

Abstract
Modern storage technology has shifted from traditional offline state to cloud based technology since some time now. Because of this transition, the present society is now more dependent on the online storage solutions. Synchronization of files and keeping a history of changes are critical parts of any cloud system. Therefore, an implementation of Blockchain Technology with traditional file synchronization and versioning system can be extremely fruitful. Blockchain is not a new technology, but recently its importance has sky-rocketed as the society is moving towards the decentralized World Wide Web. Blockchain is “an open, distributed ledger that can record transactions between two parties efficiently and in a verifiable and permanent way” [1]. Blockchain provides immutable data storage and access with the combination of Proof-of-Work [2, 3]. Due to such appealing features, the study undertaken here investigates and proposes a Blockchain based resilient cloud storage solution that makes a sound utilization of various properties fundamental to any Blockchain based framework.
Forecasting rainfall using soft computing techniques – A case study using India rainfall data
Authors: Nair Binoy B , Silamparasu S , Mohnish R , Deepak T S , Rahul M 
Published: November 2019

Abstract
In this study, an empirical evaluation of the effectiveness of soft computing techniques in forecasting annual and seasonal rainfalls on a nationwide and regional level is presented. Four different forecasting techniques, namely, Artificial Neural Networks (ANN), Adaptive Network based Fuzzy Inference System (ANFIS), Regression trees and linear regression, and two different techniques for data selection: expanding window and sliding window are considered. India is chosen as the test case mainly because of its immense topographical variations resulting in a highly diverse set of climates. A comparative study between the various techniques is also performed to find the best suited technique for the prediction.
Channel aware reputation system with adaptive detection using AODV protocol during forward attack in wireless sensor network
Authors: Sakthi Prabha R 
Published: November 2019

Abstract
Wireless sensing element networks (WSNs) area unit vulnerable to selective forwarding attacks which will maliciously drop asubset of forwarding packets to degrade network performance and jeopardize the data integrity. Meanwhile, due to the unstable wireless channel in WSNs, the packet loss rate during the communication of sensing element nodes could also be high and vary from time to time. It poses a good challenge to tell apart the malicious drop and traditional packet loss. During this paper, we propose a Channel-aware name System with adaptive detection threshold (CRS-A) to find selective forwarding attacks in WSNs. The CRS-A evaluates the information forwarding behaviors of sensor nodes, in step with the deviation of the monitored packet loss and also the calculable traditional loss. To optimize the detection accuracy of CRS-A, we tend to in theory derive the best threshold for forwarding analysis, that is adaptive to the time varied channel condition and also the calculable attack chances of compromised nodes. What is more, AN attack-tolerant information forwarding theme is developed to collaborate with CRS-A for stimulating the forwarding cooperation of compromised nodes and up the information delivery magnitude relation of the network. Extensive simulation results demonstrate that CRS-A will accurately find selective forwarding attacks and determine the compromised sensing element nodes, whereas the attack-tolerant information forwarding theme will significantly improve the information delivery magnitude relation of the network.
Multilinking of Professional Analog Wireless Communication Networks
Authors: Joshi Vivekanand K , Sampath Sivaperumal 
Published: November 2019

Abstract
The paper explains design of Professional Analog Wireless Communication System. The designing of basic analog wireless communication network, its components, their parameters and communication quality deciding factors are discussed. For expanding a wireless system, multilinking of wireless networks is essential. Major problem encountered during interconnections of such networks is time delay occurred due to propagation of electromagnetic waves through air. This paper suggests one method to eliminate the problem. It has been successfully implemented in one of the big cities in Maharashtra State.
Modelling and simulation of electric power steering system using permanent magnet synchronous motor
Authors: Hiremath Rahul R , Isha T B 
Published: November 2019

Abstract
This paper presents a control technique for Electric Power Steering System (EPS) using Permanent Magnet Synchronous motor (PMSM) for steering application. The EPS model is developed using the mathematical equations; mechanical subsystem of steering unit is modelled using the dynamic equations of steering unit. The objective of EPS system is to provide the assist torque to the steering wheel to drive the vehicle, here PMSM provides the additional assist torque along with the driver input to steer the vehicle. The control logic implemented here considers the input torque from steering wheel and vehicle speed. Depending upon these two inputs, the q-axis current component required for the PMSM motor to provide the additional assist torque is computed. The complete EPS system is modelled in Matlab/Simulink and simulated for different driving inputs.
Effect of pH Solutions on Using Waste Marble powder to Enhance Mortar Compressive Strength
Authors: Jafar Meerza Al Jaaf Hyman , Abed Al-wahab Ali Manolia , Salih Al-Jadiri Rand 
Published: November 2019

Abstract
The aim of this study is to improve the compressive strength of mortar by adding a recycled material (marble powder) at different weights gradually to the mortar. The samples were prepared and treated with different pH solutions to investigate how can effect compressive strength. The results showed that after preparing the sample of mortar by adding different weights of marble powder, the Compressive strength of the sample of (4 gm) weight of marble powder had the highest value comparing with other samples. The compressive strength for the samples were treated with different pH showed that it decreased with increasing acidity (pH from 1 to 6), but the other sample’s compressive strength increased with increasing alkalinity (pH from 8 to 14). At (pH from 1 to 14), the compressive strength was increasing gradually.
Microstructure evolution and coercivity enhancment of sintered Nd–Fe–B magnets by grain boundary diffusion with Cu aided TbF3
Authors: Gao Xi , Li Jun , Zhao Wei , Liu Ying , Wang Renquan , Liao Lele 
Published: November 2019

Abstract
Compared with the TbF3 grain boundary diffusion (GBD) magnet, in this study, Cu aided TbF3 GBD was applied to Nd-Fe-B magnets to further improve the coercivity. It is found that the coercivity increased sharply from 17.42 kOe to 25.43 kOe when the diffusion source is the mix powders of Cu and TbF3, higher than 21.25 kOe with single TbF3 as the diffusion source. The wettability of the grain boundary phases were improved owing to the accumulation of Cu in grain boundary. The grains were uniformly enveloped by grain boundary phase with the help of Cu addition. The microstructure analysis indicated that the diffusion depth of Tb increased significantly due to the modified grain boundaries which offered better tunnels for the diffusion of Tb.
Grain refining in weld metal using short-pulsed laser ablation during CW laser welding of 2024-T3 aluminum alloy
Authors: Kasuga Masaki , Sano Tomokazu , Hirose Akio 
Published: November 2019

Abstract
The 2024 aluminum alloy is used extensively in the aircraft and aerospace industries because of its excellent mechanical properties. However, the weldability of 2024 aluminum alloy is generally low because it contains a high number of solutes, such as copper (Cu), magnesium (Mg), and manganese (Mn), causing solidification cracking. If high speed welding of 2024 aluminum alloy without the use of filler is achieved, the applicability of 2024 aluminum alloys will expand. Grain refining is one of the methods used to prevent solidification cracking in weld metal, although it has never been achieved for high-speed laser welding of 2024 aluminum alloy without filler. Here, we propose a short-pulsed, laser-induced, grain-refining method during continuous wave laser welding without filler. Bead-on-plate welding was performed on a 2024-T3 aluminum alloy at a welding speed of 1 m min−1 with a single mode fiber laser at a wavelength of 1070 nm and power of 1 kW. Areas in and around the molten pool were irradiated with nanosecond laser pulses at a wavelength of 1064 nm, pulse width of 10 ns, and pulse energy of 430 mJ. The grain-refinement effect was confirmed when laser pulses were irradiated on the molten pool. The grain-refinement region was formed in a semicircular shape along the solid–liquid interface. Results of the vertical section indicate that the grain-refinement region reached a depth of 1 mm along the solid–liquid interface. The Vickers hardness test results demonstrated that the hardness increased as a result of grain refinement and that the progress of solidification cracking was suppressed in the grain refinement region.
Differentiating isoform functions with collaborative matrix factorization
Authors: Wang Keyao , Wang Jun , Domeniconi Carlotta , Zhang Xiangliang , Yu Guoxian 
Published: November 2019

Abstract

Motivation
Isoforms are alternatively spliced mRNAs of genes. They can be translated into different functional proteoforms, and thus greatly increase the functional diversity of protein variants (or proteoforms). Differentiating the functions of isoforms (or proteoforms) helps understanding the underlying pathology of various complex diseases at a deeper granularity. Since existing functional genomic databases uniformly record the annotations at the gene-level, and rarely record the annotations at the isoform-level, differentiating isoform functions is more challenging than the traditional gene-level function prediction.

Results
Several approaches have been proposed to differentiate the functions of isoforms. They generally follow the multi-instance learning paradigm by viewing each gene as a bag and the spliced isoforms as its instances, and push functions of bags onto instances. These approaches implicitly assume the collected annotations of genes are complete and only integrate multiple RNA-seq datasets. As such, they have compromised performance. We propose a data integrative solution (called DisoFun) to Differentiate isoform Functions with collaborative matrix factorization. DisoFun assumes the functional annotations of genes are aggregated from those of key isoforms. It collaboratively factorizes the isoform data matrix and gene-term data matrix (storing Gene Ontology annotations of genes) into low-rank matrices to simultaneously explore the latent key isoforms, and achieve function prediction by aggregating predictions to their originating genes. In addition, it leverages the PPI network and Gene Ontology structure to further coordinate the matrix factorization. Extensive experimental results show that DisoFun improves the area under the receiver operating characteristic curve and area under the precision-recall curve of existing solutions by at least 7.7 and 28.9%, respectively. We further investigate DisoFun on four exemplar genes (LMNA, ADAM15, BCL2L1 and CFLAR) with known functions at the isoform-level, and observed that DisoFun can differentiate functions of their isoforms with 90.5% accuracy.

Availability and implementation
The code of DisoFun is available at mlda.swu.edu.cn/codes.php?name=DisoFun.

Supplementary information
Supplementary data are available at Bioinformatics online.
Somatic selection distinguishes oncogenes and tumor suppressor genes
Authors: Chandrashekar Pramod , Ahmadinejad Navid , Wang Junwen , Sekulic Aleksandar , Egan Jan B , Asmann Yan W , Kumar Sudhir , Maley Carlo , Liu Li 
Published: November 2019

Abstract

Motivation
Functions of cancer driver genes vary substantially across tissues and organs. Distinguishing passenger genes, oncogenes (OGs) and tumor-suppressor genes (TSGs) for each cancer type is critical for understanding tumor biology and identifying clinically actionable targets. Although many computational tools are available to predict putative cancer driver genes, resources for context-aware classifications of OGs and TSGs are limited.

Results
We show that the direction and magnitude of somatic selection of protein-coding mutations are significantly different for passenger genes, OGs and TSGs. Based on these patterns, we develop a new method (genes under selection in tumors) to discover OGs and TSGs in a cancer-type specific manner. Genes under selection in tumors shows a high accuracy (92%) when evaluated via strict cross-validations. Its application to 10 172 tumor exomes found known and novel cancer drivers with high tissue-specificities. In 11 out of 13 OGs shared among multiple cancer types, we found functional domains selectively engaged in different cancers, suggesting differences in disease mechanisms.

Availability and implementation
An R implementation of the GUST algorithm is available at https://github.com/liliulab/gust. A database with pre-computed results is available at https://liliulab.shinyapps.io/gust.

Supplementary information
Supplementary data are available at Bioinformatics online.