bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cascaded Multi-Level Inverter with APOD Based PV System for Induction Motor using DTFC Control
Authors: Murugesan R , SendhilKumar N C 
Published: October 2020

Abstract
In this paper cascaded multi-level inverter based APOD control is designed to achieve harmonic reduction based on induction motor (IM) application which is fed by switched inductor quasi-Z source inverter (SL-qZSI) is proposed. The control method of proposed induction motor is controlled by direct torque and flux control (DTFC). The proposed converter qZSI is achieving the DC link voltage with improvement and to maintain the constant power supply. The proposed control technique for induction motor directs to reliability improvement and the capability of soft starting. The multi-level inverter with cascaded system is using with APOD control to reduce the total harmonic distortion in the supply voltage. The DTFC achieves the reduced settling time and stator inrush current reductions are achieved. The results and proposed system is analyzed and verified using MATLAB/Simulink environment.
Human Action recognition using STIP Evaluation techniques
Authors: Latha BM , Manjula BK , Venkata Sumana CH , Hemalatha KL 
Published: October 2020

Abstract
Human action recognition plays a big role in human-to-human interaction and interpersonal relations. As a result, it provides information regarding the identity of someone, their temperament, and condition, it’s tough to extract. Recognition of actions within the video isn’t a matter for human sensory system. The identification of the actions of the person by the system wants someone special mechanisms. The identification of the actions by the systems are going to be useful in computer vision method. This method is divided into low level action recognition process and high level recognition process. Recognizing the actions victimization the one feature values extracted goes under low level action recognition method. These method is simple to implement and that they don’t seem to be reliable all the time. The high level action recognition method needs some special hardware’s to discover the actions within the video. The experimental results proved that the proposed methodology achieved better performance in terms of accuracy, sensitivity and specificity.
Colour Image Encryption using Expand-Shrink Operation in Chaos Encryption Algorithm
Authors: Rashmi P , Supriya M C , Kiran  
Published: October 2020

Abstract
In recent decades, chaos based encryption algorithm is widely used in image encryption. Most of the chaos based encryption algorithm operate at bit level, which is ineffective in high resolution digital images. In this research paper, a new colour image encryption algorithm is proposed by using expand-shrink operation for confusion and diffusion operation in chaos algorithm. The proposed algorithm consists of confusion-diffusion strategy operated at pixel level. Original colour image is expanded based on intrinsic features of bit planes. Expanded image undergo confusion diffusion operation using Hilbert scan method. In addition, for diffusion operation uses circle map that generates random image. In the experimental section, the proposed algorithm achieved better performance in image encryption on various digital images.
An Approach for Pose Invariant Face Recognition System Using Log-Gabor Feature
Authors: Shettar Madhura S , Byahatti Poornima 
Published: October 2020

Abstract
Biometrics is the process based on humans’ characters like behavioural and physical. Among the biometrics traits, face recognition has attained much importance for the authentication of individuals. Face recognition with pose variation is one of the major challenges among the illumination and expression. The system is widely used as surveillance which can withstand in places like ATMs, Airports, and Streets to track the criminals. The face recognizing mainly depends on the feature extraction from the face. Project aim is to extract those features which are invariant even though the pose changes. In the proposed work face recognition by using Log Gabor features is addressed. Firstly, colour images with variation in poses are captured followed by the extraction of facial features components like eyes, nose, mouth, and chin through Log Gabor features. The identification of the person is done using KNN classifier where the matching is carried out by calculating the Euclidean distance between the training and test pairs. Finally, experimental results show the performance of the system for different number of the users.
Classification of Diabetic Retinopathy using Residual Neural Network
Authors: Priyadharsini C , Jeyapriya J , Jagadeesh Kannan R , Bharadwaja Kumar G , Prasad Sakriki Tulasi 
Published: October 2020

Abstract
Diabetic retinopathy (DR) in patients affects retina function owing to chronic elevated excessive blood glucose rates. The DR is a severe medical disorder. Patients with diabetes are easily prone to this medical complication which when not detected and treated at earlier stages, leads to vision loss. Globally, diabetes mellitus is the fifth leading cause of vision loss. So, active research is being conducted in this area to find novel ways in identifying the stages of DR. Specific image recognition methods and computer simulation algorithms were initially used to classify DR, but their usefulness was inadequate in real-time clinical practice. The evolution of deep learning models like convolution neural network performed better in identifying DR and non-referable DR compared to conventional machine learning models. Different variations of CNN architecture are being developed over the period, but more analysis and experimentation needs to be carried out to choose the appropriate architecture for detecting Diabetic Retinopathy. The aim of this research is to apply and understand how the performance of pre-trained Deep learning model – ResNet, a deep layered neural network performs to identify non-referable DR and different types of referable DR.
Application of Different Techniques for Underwater Image Processing- A Systematic Review
Authors: Prasath R , Kumanan T 
Published: October 2020

Abstract
The area of underwater image processing has gained huge attention among the researchers because of its wide application. Image processing is the approach of developing the input image quality so that it would be understood easily by users in future. Image processing develops the data content of image and changes the images visual impact on the observer. Image processing intensifies the image features and accentuates the features of image like corners, contrast to enhance the photographs display which is much helpful for study and examination. Several methods and techniques have been used by researchers worldwide in order to resolve the underwater image processing issues. This paper reviews different techniques of underwater image processing and also compares the techniques among each other. This paper discusses about the filtering method, histogram-based equalization method and particle swarm optimization techniques and compares them with their advantages.
Doctor Finder: Find doctors on the Go
Authors: Jagadeesh Kannan R , Tamakuwala Harsh , Kale Siddharth , Rohan Bhowmick Harsh 
Published: October 2020

Abstract
Currently most people don’t have access to world-class health care. People tend to go to their local doctors and get their treatment delayed in case of serious diseases. These cases require a specialist to tend to the needs of the patients. A system is created that helps a person find a doctor based on the symptoms the user is facing. The system helps the user to get redirected to the nearest specialist that is appropriate to the special case of each user. This article discusses how the system was designed and implemented and what exactly was the need to implement such a system.
Plant design, optimization, and ethanol production from Zea maize L.
Authors: Keerthi S , Gurumurthy D M , Sneha N M , Bhavana S , Shwetha A S , Abhishek N G , Kaushik S P 
Published: October 2020

Abstract
Ethanol production from corn grain is taken a point of convergence as an alternative fuel development recently. Herein, we studied the production of ethanol from Zea maize L with designing the production plant and optimization process, respectively. As an additional source, the maize grains are processed to a fine flour and then exposed to liquefaction, where the temperature was maintained at 85 ° C for 4 hours. Furthermore, it was exposed to saccharification for 4 hours at 50°C with subsequent refining. The ethanol yield acquired from the process was observed to be 10.6, with the purity of 95%. The distinctive ethanol properties are likewise evaluated with the specific gravity, relative thickness and the refractive index were 0.79, 0.85, and 1.4, respectively.
Computer Simulation of Electrochemical Studies of Al6061-Al2O3 Metal Matrix Composite: Effect of Heat Treatment
Authors: Mahendra H M , Prakash G S , Keerthi Prasad K S , Rajanna S , Johns Jobhish 
Published: October 2020

Abstract
The aim of this work is to investigate the corrosion Studies of Aluminum Oxide (Al2O3) reinforced Aluminum 6061 metal matrix composites in Different Concentrations of HCl & NaCl solutions using weight loss method, Potentio-dynamic & EIS Technique. The composites have been prepared by Die- casting method. Aluminum 6061 / Al2O3 MMCs containing different sizes such as 40, 60, and 100 microns and 0, 4, and 8 weight percentages of Al2O3 particulates are casted. The corrosion characteristics of Aluminum 6061 / Al2O3 composite and the unreinforced alloy were experimentally assessed. The results indicated that corrosion rate of metal matrix composites is lower than that of matrix material Al 6061 under the corrosive atmosphere irrespective of exposure time and concentration of corrodent. Aluminum 6061 / Al2O3 composite become more corrosion resistant as the Al2O3 content is increased. This is because of the formation of stable oxide layer over the specimens. Scanning Electron Microscopy (SEM) shows the degree of attack of HCl & NaCl solution on the surface of the investigated material.
Study on High Frequency Vibrations using Statistical Energy Analysis for Different Composite Materials
Authors: Shastry Sridhar N , Subrahmanya Swamy S 
Published: October 2020

Abstract
Statistical Energy Analysis developed in early 1960s is used to determine the vibration response and energy levels in the structures subjected to high frequency vibrations by using statistical approach. In this work, Statistical Energy Analysis parameters like coupling loss factor and velocity response for composite plate like structures are analytically determined. Velocity response and coupling loss factor for L-shaped composite plate like structure subjected to point load have been computed for three different composite materials. Velocity response and coupling loss factors were determined and compared for the materials considered. The results show that composite materials having high specific modulus had low velocities and high coupling loss factor.
A Facile Route in Controlling the Optical Absorbance of Polyvinylpyrrolidone-Capped Silver Nanoparticles Via Chemical Reduction Technique
Authors: Laurence Budlayan Marco , Phyrre Lagare-Oracion Jeanne , Dela Rosa Lyka , Joy Rodriguez Mikee , Capangpangan Rey Y. , Manigo Jonathan , Alguno Arnold , Austria Eleanor , Arco Susan , Patricio Jonathan 
Published: October 2020

Abstract
This work presents the synthesis of silver nanoparticles (AgNPs) capped with polyvinylpyrrolidone (PVP) via a simple chemical reduction approach. A route in controlling the optical absorbance of the AgNPs by varying the concentration of silver precursors, as reflected by the shifts and broadening of the UV-vis spectra of the AgNPs is also highlighted. Dynamic Light Scattering results revealed the narrow and small hydrodynamic size for AgNPs synthesized at low precursor concentration, while multiple hydrodynamic size peaks were observed for AgNPs produced at high precursor concentration. Likewise, Fourier transform-infrared spectroscopy confirmed the successful capping of PVP on the AgNPs through the O and N atoms as potential binding sites. Transmission electron micrographs revealed the formation of spherical PVP-capped AgNPs, having no apparent aggregation observed. A closer inspection of the micrograph showed the subsequent formation of rod-like growth template of the AgNPs, that might lead to the formation of non-spherical silver nanostructures.
A Study of Response Parameters during ECDM on Quartz Material
Authors: Dileepkumar S G , Bharath K N , Naveen B C , kumar Anil 
Published: October 2020

Abstract
Electrochemical discharge machining (ECDM) is a hybrid machining process that combines the possible characteristics of Electro Discharge Machining (EDM) and Electrochemical Machining (ECM) machining. In the present work, Quartz is used as work piece material and potassium hydroxide (KOH) as an electrolytic medium. Experiments were carried out by considering the three factors at three different levels. The input variables are Voltage, Electrolyte Concentration (EC) and Inter-Electrode Gap (IEG). The experimental response variable is Material Removal Rate (MRR). The process variables were analyzed and optimized using ANOVA from the Minitab 14 statistical tool. The response parameters are predicted by using Artificial Neural Network (ANN) and linear regression equation was generated to predict the experimental values. The results reveal that, voltage and electrolyte concentration have approximately equal percentage of contribution in achieving maximum MRR.
Facile Green Synthesis and Characterization of Moringa Oliefera Extract-Capped Silver Nanoparticles (MO-Agnps) And Its Biological Applications
Authors: Kiran M S , Latha M S , Gokavi Nagappa B , Pujar G H , Rajith Kumar C R , Shwetha U R , Betageri Virupaxappa S 
Published: October 2020

AbstractIn the current study, we developed a simple, eco-friendly, quick and economical process to synthesize stable silver nanoparticles (AgNPs) using medicinal herb Moringa oliefera leaves extract. Obtained AgNPs are characterized by spectrophotometrical and microscopic techniques such as UV-Visible spectroscopy, x-ray diffraction (XRD), scanning electron microscopy (SEM) and high resolution transmission electron microscopy (HR-TEM). The study on the in vitro antidiabetic activities displayed that the particles have greater α-amylase inhibition potentials. In addition, exceptional antioxidant activity on 1, 1-Diphenyl-2-picrylhydrazyl (DPPH) is observed. Cytotoxic study against Michigan Cancer Foundation-7 (MCF-7) cell lines displayed significant anticancer activity of AgNPs and hence they can be employed as a promising, cost-reliable and non-toxic strategy for treating these diseases in future.
Hybrid Renewable Energy Based CFSI for and Motor Application using ANFIS Based MPPT and IFOC Controller
Authors: Ramesh G P , Mohammed Irshad Shaik 
Published: October 2020

Abstract
In many industrial applications, the varying speed of the motor drives has become essential for the fast dynamic load conditions. Therefore, the detailed analysis of Field Oriented Control (FOC) with the sensor-less technique of BLDC is proposed where the reference speed is obtained from the MPPT based ANFIS controllers for control the speed. The FOC not only control the magnitude but also provides the phasor control. With Back-EMF estimation process, the motor is applied to obtain the torque ripple minimization and correct speed control using simpler IFOC. It is used to estimate speed in a sensorless and to map the continuous velocity variation. This approximate velocity is used to activate and to predict hall switching output less BLDC motor signals with low tension MATLAB / Simulink tool is using for results verification.
Design of MUX based Flash ADC for Reduction in Number of Comparators
Authors: Kutre Tejaswini J , Patil Sujata N , Kiran Kore Sheela 
Published: October 2020

Abstract
This paper presents the design of multiplexer-based Flash ADC with a reduced number of comparators to achieve less area and less power consumption with increased resolution. As the number of bits increases, flash ADC needs a huge number of comparators which increases the area of the chip, and also the power consumption will increase. The conventional N-Bit Flash ADC requires a 2N number of resistors and 2N-1 number of preamplifiers and comparators. Here the number of comparators is reduced by using multiplexers by providing reference voltage through multiplexers. And also, the encoder is designed using multiplexers. The 6-bit Flash ADC is designed utilizing multiplexers and a reduced number of comparators. The Simulation is done by using the proteus 8.9 design suite with 1v supply voltage.
Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers
Authors: Liu Yuansheng , Zhang Xiaocai , Zou Quan , Zeng Xiangxiang 
Published: October 2020

Abstract

Summary
Removing duplicate and near-duplicate reads, generated by high-throughput sequencing technologies, is able to reduce computational resources in downstream applications. Here we develop minirmd, a de novo tool to remove duplicate reads via multiple rounds of clustering using different length of minimizer. Experiments demonstrate that minirmd removes more near-duplicate reads than existing clustering approaches and is faster than existing multi-core tools. To the best of our knowledge, minirmd is the first tool to remove near-duplicates on reverse-complementary strand.

Availability and implementation
https://github.com/yuansliu/minirmd.

Supplementary information
Supplementary data are available at Bioinformatics online.
Cellular therapies for the treatment of immune-mediated GI and liver disease
Authors: Khan Sheeba , Khan Reenam S , Newsome Philip N 
Published: October 2020

Abstract

Introduction
Immune-mediated liver and gastrointestinal diseases are chronic conditions that lack curative treatments. Despite advances in the understanding and treatment of these conditions, they frequently remain refractory to treatment and represent a significant unmet need. Cellular therapies are an emerging option and hold the potential to have a major impact.

Data sources
A literature review was carried out using Pubmed. Keywords used for search were ‘ATMP’, ‘immune mediated’, ‘autoimmune liver disease’ and ‘immune mediated gastrointestinal conditions’, ‘cell therapy’, ‘MSC’, ‘HSCT’, ‘Regulatory T cells’, ‘GVHD’, ‘Coeliac disease’ ‘IBD’, ‘PSC’, ‘AIH’, ‘PBC’. No new data were generated or analysed in support of this review.

Areas of agreement
There is substantial evidence from clinical trials to support the use of cell therapies as a treatment for immune-mediated liver and gastrointestinal conditions. Cellular therapy products have the ability to ‘reset’ the dysregulated immune system and this in turn can offer a longer term remission. There are ongoing clinical trials with mesenchymal stromal cells (MSCs) and other cells to evidence their efficacy profile and fill the gaps in current knowledge. Insights gained will inform future trial designs and subsequent therapeutic applications.

Areas of controversy
There remains some uncertainty around the extrapolation of results from animal studies to clinical trials. Longevity of the therapeutic effects seen after the use of cell therapy needs to be scrutinized further. Heterogeneity in the selection of cells, source, methods of productions and cell administration pose challenges to the interpretation of the data.

Growing points
MSCs are emerging as a key therapeutic cells in immune-mediated liver and gastrointestinal conditions. Ongoing trials with these cells will provide new insights and a better understanding thus informing future larger scale studies.

Areas timely for developing research
Larger scale clinical trials to build on the evidence from small studies regarding safety and efficacy of cellular therapy are still needed before cellular therapies can become off the shelf treatments. Alignment of academia and industry to standardize the processes involved in cell selection, manipulation and expansion and subsequent use in clinical trials is an important avenue to explore further.
The Limit of Detection Matters: The Case for Benchmarking Severe Acute Respiratory Syndrome Coronavirus 2 Testing
Authors: Arnaout Ramy , Lee Rose A , Lee Ghee Rye , Callahan Cody , Cheng Annie , Yen Christina F , Smith Kenneth P , Arora Rohit , Kirby James E 
Published: October 2020

Abstract

Background
Resolving the coronavirus disease 2019 (COVID-19) pandemic requires diagnostic testing to determine which individuals are infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The current gold standard is to perform reverse-transcription polymerase chain reaction (PCR) on nasopharyngeal samples. Best-in-class assays demonstrate a limit of detection (LoD) of approximately 100 copies of viral RNA per milliliter of transport media. However, LoDs of currently approved assays vary over 10,000-fold. Assays with higher LoDs will miss infected patients. However, the relative clinical sensitivity of these assays remains unknown.

Methods
Here we model the clinical sensitivities of assays based on their LoD. Cycle threshold (Ct) values were obtained from 4700 first-time positive patients using the Abbott RealTime SARS-CoV-2 Emergency Use Authorization test. We derived viral loads from Ct based on PCR principles and empiric analysis. A sliding scale relationship for predicting clinical sensitivity was developed from analysis of viral load distribution relative to assay LoD.

Results
Ct values were reliably repeatable over short time testing windows, providing support for use as a tool to estimate viral load. Viral load was found to be relatively evenly distributed across log10 bins of incremental viral load. Based on these data, each 10-fold increase in LoD is expected to lower assay sensitivity by approximately 13%.

Conclusions
The assay LoD meaningfully impacts clinical performance of SARS-CoV-2 tests. The highest LoDs on the market will miss a majority of infected patients. Assays should therefore be benchmarked against a universal standard to allow cross-comparison of SARS-CoV-2 detection methods.
Excess Risk of Tuberculosis Infection Among Extra-household Contacts of Tuberculosis Cases in an African City
Authors: Kakaire Robert , Kiwanuka Noah , Zalwango Sarah , Sekandi Juliet N , Quach Trang Ho Thu , Castellanos Maria Eugenia , Quinn Frederick , Whalen Christopher C 
Published: October 2020

Abstract

Background
Although households of tuberculosis (TB) cases represent a setting for intense transmission of Mycobacterium tuberculosis, household exposure accounts for &lt;20% of transmission within a community. The aim of this study was to estimate excess risk of M. tuberculosis infection among household and extra-household contacts of index cases.

Methods
We performed a cross-sectional study in Kampala, Uganda, to delineate social networks of TB cases and matched controls without TB. We estimated the age-stratified prevalence difference of TB infection between case and control networks, partitioned as household and extra-household contacts.

Results
We enrolled 123 index cases, 124 index controls, and 2415 first-degree network contacts. The prevalence of infection was highest among household contacts of cases (61.5%), lowest among household contacts of controls (25.2%), and intermediary among extra-household TB contacts (44.9%) and extra-household control contacts (41.2%). The age-adjusted prevalence difference between extra-household contacts of cases and their controls was 5.4%. The prevalence of infection was similar among the majority of extra-household case contacts and corresponding controls (47%).

Conclusions
Most first-degree social network members of TB cases do not have adequate contact with the index case to experience additional risk for infection, but appear instead to acquire infection through unrecognized exposures with infectious cases in the community.