bluuebunny/crossref_metadata_2025 huggingface dataset:
The first described fossil species of Litargus Erichson (Coleoptera: Mycetophagidae) from Eocene Baltic amber examined with X-ray microtomography, and new records of Crowsonium succinium Abdullah, 1964
Authors: ALEKSEEV VITALII I. , KUPRYJANOWICZ JANUSZ , KAIRIŠS KRISTAPS , BUKEJS ANDRIS
Published: May 2020

A new species of Mycetophagidae belonging to the genus Litargus, namely L. (Litargosomus) dantiscensis Alekseev, Kupryjanowicz et Bukejs sp. nov., is described and figured from Eocene Baltic amber using X-ray micro-computed tomography (μCT). Three additional specimens of a mycetophagid beetle that is rather common in Baltic amber, Crowsonium succinium Abdullah, are also reported. Prototoma striata Heer, which was originally placed in Mycetophagidae, is discussed based on its original description and illustration: it is proposed that the position incertae sedis within Coleoptera be given to this Early Jurassic fossil. Consequently, the records of Mycetophagidae from Eocene European amber should be considered the earliest occurrence of the family known to date.
Descriptions of two new species of Philodina (Rotifera, Bdelloidea), with notes on seven rare bdelloids from Korea
Authors: SONG MIN OK , LEE CHANG-HO
Published: May 2020

A taxonomic study on bdelloid rotifers collected from various terrestrial habitats at five different locations in Korea resulted in eight new Korean records and two new species-level taxa, Philodina clypeata  n. sp. and P. verrucosa  n. sp. Among the eight new Korean records, two species- and three subspecies-level taxa are new to Asia as well. These new Korean records also include seven rare species/subspecies-level taxa with poorly known distributions. Habrotrocha gracilis quadridens Schulte and Macrotrachela zickendrahti seda Donner were rediscovered in Korea 64 and 53 years, respectively, after the original descriptions. Habrotrocha ligula aligula Burger, Macrotrachela insulana Donner, M. petulans Milne, M. pinnigera (Murray), and Philodina parvicalcar De Koning have been reported from two to three countries only including their type localities before the present study. In addition, a partial sequence of mitochondrial cytochrome c oxidase subunit I gene (mtCOX1) for P. verrucosa  n. sp. as well as a taxonomic key for the Philodina species recorded from Korea to date are also provided here.
Mites of the genus Gaeolaelaps (Acari: Laelapidae) from southern Brazil, with description of two new species
Authors: MARTICORENA JORGE L. M. , MOREIRA GRAZIELLE FURTADO , DE MORAES GILBERTO JOSÉ
Published: May 2020

Gaeolaelaps Evans & Till is a laelapid genus composed of free living mites, some of which have been produced commercially for use as biological control agents of pest organisms. They are edaphic and poorly known in Brazil, from where a single species has so far been reported (Gaeolaelaps aculeifer (Canestrini)). The objective of this paper is to report the occurrence of three other species from this country, two of which are new to science (G. azul n. sp., G. cerrii n. sp. and G. circularis Hyatt).
A new species of Pherbellia (Diptera: Sciomyzidae) from Iran
Authors: KAZERANI FARZANEH , MORTELMANS JONAS , FARASHIANI MOHAMMAD EBRAHIM , THORN SIMON
Published: May 2020

Pherbellia jalili Mortelmans & Kazerani sp. nov. is described based on 5 males and 4 females. The new species is associated with old deciduous forest and is found only in the Hyrcanean forest in Iran. It is compared with its sister species, P. annulipes (Zetterstedt, 1846), and a comprehensive distribution map for both species is given. The key to species of this group of Pherbellia is updated including the Japanese Pherbellia tricolor Sueyoshi, 2001. Barcodes are generated for P. jalili sp. nov., P. annulipes, and P. nana nana (Fallén, 1820).
Changes of Serum Trace Elements Levels in Coronary Heart Disease Patients
Authors: Chen Xiquan , Huang Guanqin , Duan Qingsong , Wang Xiaoying , Shi Tong , Yang Hua , He Quan
Published: May 2020

The study was aimed to investigate the changes of serum trace elements levels in coronary heart disease patients and their clinical significance. A total of 94 patients with coronary heart disease were enrolled in the study as case group, and 94 healthy adults were enrolled as control
group. The oxidation reaction index and serum level of iron, calcium and magnesium was compared between the two groups. The severity of coronary artery disease was scored. The correlation analysis between Gensini score and the levels of serum trace elements in coronary heart disease patients
was conducted. The serum levels of calcium and magnesium in the case group were lower than those in the control group, while the serum iron level was much higher (allp < 0 05). In addition, the Gensini score was negatively correlated with serum calcium and magnesium level, but positively
correlated with serum iron level (allp < 0 05). The oxidation reaction index in coronary heart disease patients was higher than that in healthy control group. A decrease in serum calcium or magnesium level or an increase in serum iron level might lead to the increased risk of coronary heart
disease.
Intra-Ocular Pressure and Morphological Changes of the Trabecular Meshwork Cells After Ultraviolet A/ Riboflavin Corneal Crosslinking
Authors: Ren Li , Cui Changxia , Wang Bing , Li Zhiwei , Liu Yuzhen , Lu Tingwang , Mu Guoying
Published: May 2020

The current study aimed to investigate the intra-ocular pressure (IOP) and morphological variations in trabecular meshwork (TM) cells from rabbit eye followed being treated with ultraviolet A/riboflavin corneal crosslinking (CXL) onto the TM area, by which to further verify the possibility
of applying TM CXL onto the treatment of glaucoma in clinics in the future. Rabbits were randomly classified into the 3 groups, such as blank control, negative control, and treated groups. Afterwards, we carried out the measurement of IOP with schiotz tonometer and morphological evaluation
of the TM cells via light microscopy and transmission electron microscopy before and after CXL within 12 weeks. No statistical significance was found between blank control group and negative control group as for the interspace area of TM cells, cell density of TM cells or IOP in the current
study. In comparison to blank control group, interspace area in TM cells declined on day (D) 1 after CXL, followed by a significant increase within the following follow-ups from week (W) 1 to W12, and reached a stable situation on W2. Compared to the blank control group, the cell density of
TM cells declined on D1 after CXL, followed by a slight increase within the following follow-ups from W1 to W12, and reached a stable situation on W2. Meanwhile, compared with the blank control group, the IOP increased on D1 after CXL, followed by a slight decrease within the following follow-ups
from W1 to W12, and reached a stable situation on W2. In conclusion, the present study revealed an important decrease on IOP and predominant enlargement in the interspace area of TM cells after CXL when in comparison to blank control group, which implies the possibility of applying CXL for
the treatment of glaucoma in clinics.
Allicin Improve Myocardial Fibrosis by Regulation Mitogen-Activated Protein Kinase 1/3 and Matrix Metalloprotein-8 Expression
Authors: Zhang Yinyu , Qian Caizhen
Published: May 2020

Objective: To explore the improvement of Allicin on myocardial fibrosis and expression of MAPK1/2 and MMP-8 in rats. Methods : Dividing 30 SD rats into 3 groups, normal control, model and Allicin treatment based on model (Allicin) groups. Using 40 mg/kg streptozotocin (STZ) to
make diabetes model. The the NC and Model groups' rats received daily intraperitoneal injections of saline, and those in Allicin group was given Allicin (40 mg/kg) injections. After 8 weeks, the pathologies of cardiac fibrosis were examined with HE staining and Masson staining, the proteins
expressions of collagen I, MAPK1/3 and MMP-8 were analyzed with WB and IHC assay. Results: Compared with NC group, the Model rats showed increased collagen content and obvious interstitial fibrosis in the myocardial tissue with significantly increased expression levels of collagen I,
MAPK1/3 and MMP-8 (P < 0 001, respectively); all the changes were obviously reversed by treatment with Allicin (P < 0 001). Collagen I, MAPK1/3 and MMP-8 expression levels and the degree of myocardial fibrosis were comparable between Allicin group and NC group (P > 0 05). Conclusion:
Allicin could improve cardiac fibrosis in diabetic rats, and the mechanism might involve the inhibition of MAPK1/3/MMP-8 signal pathway.
miR-3613 Regulates Gastric Cancer Cells Proliferation, Invasion, Migration and Apoptosis by Targeting Suppressor of Cytokine Signaling 4
Authors: Luo Yuming , Cao Wei
Published: May 2020

The present study aimed to investigate the effect of miR-3613 on the biological functions of gastric cancer cell lines. The expression of miR-3613 and SOCS4 in gastric cancer cells were detected by RT-qPCR and western blot. The target genes of miR-3613 were verified with the luciferase
reporter system and western blot. The SOCS4 overexpression plasmid was constructed and transfected into gastric cancer cells. To further investigate the function of miR-3613, shRNA targeting miR-3613 and SOCS4 overexpression were transfected into SGC-7901. The growth of cells was detected
by CCK-8, then the cell invasion and migration ability were detected by wound healing and transwell. Furthermore, the level of cell cycle was detected by flow cytometry. The expression of cell proliferation, cyclin and migration-related proteins were detected by western blot. The results revealed
that the expression of miR-3613 is significantly increased in gastric cancer cells. SOCS4 is one of the target genes of miR-3613. Additionally, interference with miR-3613 promotes cell cycle arrest in gastric cancer cells and reversed the inhibitory effect of miR-3613 on biological function
of gastric cells. Collectively, the data demonstrated that miR-3613 regulates gastric cancer cell by targeting SOCS4, which is expected to be an attractive target for the development of new drugs for the treatment of gastric cancer.
Intelligent Speed Control in Motor Bikes for Accident Prevention Using Internet of Things
Authors: Deva Hema D. , Nandhini S. , VisnuDharsini S. , ShivaNandhini J.
Published: May 2020

Over speeding is an important factor for occurring accidents. Road accident statistics shows two wheelers account for 25% of total road crash deaths and also one third of accidents are due to over speeding. But there is lagging of research in preventing the accidents for two wheeler.
An effective prevention mechanism is to provide safety mechanism to the drivers with the advancement of wireless communication. The Objective of this paper is to develop a automatic speed control system to avoid accidents by controlling the speed of a motor bike using intelligent based automatic
speed control. Intelligent based automatic speed control system consist of electronic acceleration system, Ultrasonicsensor, MQ3 alcohol sensors eye blink sensors. The existing system of acceleration in two wheelers can be replaced by electronic acceleration system. The signal from ultrasonic
sensor will be sent continuously and monitors other obstacles that are in front of motor bike. The distance coverage of ultrasonic sensor is upto 4 m. When it detects obstacle, Vehicle is controlled automatically without any manual operation. This system detects the driver if he is under the
influence of alcohol. MQ3 alcohol sensor is used to analyze breath to determine alcohol consumption in the body The eye blink sensor detects the eye blink of driver and if eye is closed more than 30 sec, vehicle will be stopped automatically, and gives alarm to driver alert. Speed Information
will be sent to the server and from the server authorized user can view the speed information and control the speed. This system will be more efficient to control the speed of two wheelers so that the accidents can be prevented.
Parallel Simulation of Steady State Light Transport Through Solid Media Using Logistic Map
Authors: Sathish K. , Singh Siddharth , Agarwal Anirudh , Shukla Pranab Kumar
Published: May 2020

The Monte Carlo algorithm has been extensively used for photon transport simulations in medical imaging to assists doctors in Photodynamic Therapy for treatment of wide range of medical conditions including varieties of cancer by eliciting phototoxicity in cells. Previously this was
done using static 2 Dimensional models on traditional CPUs. With the advent of GPU Computing further work was done to extend this model by separating the PRNG.
Brain Computer Interface for Communication and Control of Peripherals and Appliances
Authors: Sathish K. , Paul Aritra , Roy Debapriya , Kalra Ishmeet , Bajaj Simran
Published: May 2020

The concept is designed to improve upon the recent developed system, utilizing auditory steady state response (ASSR) as a basis for the Brain Computer Interface (BCI) paradigm. It utilizes the classification of signals through a discrete wavelet transform (DWT) before the actual transmission
to reduce overhead at the processing system. The electroencephalogram (EEG) obtained from the subject is through a p300 based EEG receivers. A compression algorithm is used to reduce the bandwidth usage and provide a quicker transmission of the large and continuous EEG. An Arduino board along
with a proximity sensor is used to detect the presence and distance of the subject and consequently control playback of a single frequency audio signal, which as received by the user, is used for producing the EEG signals. A continuous focus of the user is required on the playback of the single
frequency sound to produce a sizeable reading. At the receiving end, another Arduino board is installed with an SD card module, which contains the commands, responsible for the actual control of the devices. The concept can be utilized for various purposes from controlling IoT based systems
to wheelchairs and hospital beds as well as bionic limbs, which however are limited due to the overall bulk of all the equipment currently required. The main aim of this paper is to propose an improvement in the transmission, reduction the latency of the signals and to provide a concept for
utilization by the handicapped or physically impaired patients. Since the EEG is obtained through the inner ear of the subject, it completely eliminates any need for invasive surgery and provides a simplified solution. Developments have shown to be able to achieve over 95% of accuracy in the
domain, currently limited by length of the EEG required in order to process the actual commands from the subject’s brain.
IoT Based E-Health Care System for Telemedicine
Authors: Prabu M. , Chella Pandi P. , Sarath V. A. , Subash R.
Published: May 2020

The Technological and economical advancement needs enhanced healthcare system. Telemedicine healthcare system provides the provision of medical treatment from a remote distance. The telemedicine research and product development has embarked immense growth during the past decade primarily
due to tremendous technological advancement in automation. The aim of IoTbased health care system is to ensure and increase the welfare of patients and the quality of life in rural areas. In this paper we present a low cost Health sensor platform and sugar level without blood for rural health
monitoring with a well-structured and secure interface between medical experts and Cellular and WLAN for sharing of important medical parameters. In our proposed and implemented model we developed separate interface for medical experts and medical server, Caregiver, Emergency other then physician
and introduced a new algorithm for implementation. Features like live video streaming, automatic prescription generation and push notification to allotment are included. The prototype is used for trial under the supervision of medical experts and the data are compared with standard test done
in pathological laboratory. The result is satisfactory with good level of acceptance.
A Novel Approach to Detect the Level of Congestion in a Wireless Network
Authors: Balaji V. , Rathish Babu T. K. S. , Anitha Juliette A. , Anantha Krishna V.
Published: May 2020

Congestion in a network is due to the lower bandwidth in the wireless part as compared to the wired one. Extensive planning has to be made on the wireless network side as it is challenging to predict the number of nodes active which are connected to the network over a period of time.
In this paper we study the link between the RE-Transmission Timer with respect to network congestion. We are proposing a cluster based methodology to determine the status of the of access point with respect to the channel which will help us to plan better network. We use the traces collected
from wireless monitoring at the 62nd Internet Engineering Task Force (IETF) meeting held in Minneapolis, MN, March, 2005.
Machine Learning Approach to Detect Red-Eye Using Pixel Detection Technique
Authors: Sathish K. , Raj Kumar Sanu , Adithya Chowdary J. V. , Jahagirdar Nitish
Published: May 2020

Sometimes in Flash Photography red colored patches occurred in human eyes. It is actually a reflection of bright flash light reflected from blood vessels in the eyes, giving the eye an unnatural red hue. Red-eye is a big problem in professional photography. Most red-eye reduction systems
in many editing software needed the user to identify the red-eye and make an outline through the red-eye. Here we propose an Automatic Red-Eye Detection System instead. The system contains a red-eye detector that finds bunch of red pixels those are clustered to gather, a state of face detector
that used to eliminate most false positives (pixel clusters that look red eyes but are not); and a redeye outline detector. All three detectors are automatically learned from the taken datasets and with a proper classifiers using boosting. For creating a fully Automatic Red-Eye Corrector this
system needed to be combined with a functional Red-Eye Reduction model.
Intelligent Protection System Against Vehicles’ Carbon Monoxide Gas Leakage by Using Arduino and Global System for Mobile Model
Authors: Al Eissaei Muna Rashid , Hasoon Feras N. , Manic Suresh
Published: May 2020

Gas leakage is a significant problem in industries, residential premises and gas powered vehicles. Carbon Monoxide is one type of harmful gas that generates out from vehicle’s AC when it is in ON mode, which can cause suffocation or death for all the passengers within less than
hour that according to the science researchers. One of the proposed methods to upgrade safety standards and prevent accidents related to gas leakage is to install gas leakage detection inside the vehicles. This paper discusses the design of gas detection system to detect the presence of a
dangerous Carbon Monoxide (Co) leak inside the cars using the MQ-7 gas sensor, and an alert is provided to two users by sending SMS to the programmed mobile numbers. Also, this system decreases the gas concentration by opening the car window using a relay board and motor. If the Co (MQ-7)
sensor senses any gas leakage from the AC output of this sensor goes low, and the Arduino monitors this low signal, and it will identify the gas leakage.
Sensor Based Accident Prevention System
Authors: Nithya M. , Pooranam N. , Deepalakshmi R. , Aruna Rani M. , Anandha Swarna S.
Published: May 2020

In the developing countries accident is the major cause of death. The top 10 dangerous roads in the world are mountain roads and curve roads. In the mountain roads there will be tight curves and the roads will be narrow. In these kinds of situations the driver of a vehicle cannot see
vehicles coming from opposite side. Thousands of people lose their lives each year because of this problem. The mountain roads might lead to a cliff. The solution for this problem is alerting the driver about the vehicle coming from opposite side in the hair-pin bends. That can be performed
by placing the ultrasonic sensor on the road in one side before the road curve and then will keep the LED light after that curve, thus the vehicle which comes from the one end of the curve, the sensors which is present in that curve will sense and makes the LED light glows along with that
buzzer sound and also vehicle speed is displayed at the opposite side. By looking at the LED light on signal driver can become alert and can slow down the speed of the vehicle. Thus it saves more lives.
An Efficient Surveillance System to Detect and Prevent Elephant Intrusion in Forest Borders
Authors: Sureshkumar S. , Janet J. , Srivaishnavi D. , Biruntha S.
Published: May 2020

Now days the conflict takes place between human and elephant is one of the biggest issue throughout the world. In Tamilnadu the biggest elephant conflict arise in villages available near nilgris, muthumalai, etc. Most of the Asian and African countries has farm land, it gets affected
by elephants. The crop land are affected by elephants it is one of the biggest issue throughout the world. There some traditional methods like use of fire crackers, drum beating, construction of elephant barriers, noise-making, fencing etc. are used so far. But these methods are not effective
in all the situation to prevent the crop as well as human from elephants. The proposed system is more efficient and accurate than the other systems. The vibration sensor is used to detect the movement of elephant in forest border areas. The elephant is captured through camera. The animal is
found out of camera zone it is detected through the sound produced by elephant. The captured image is send to database and the SMS is sent to nearby forest officers, crop field owner and also public people. The SURF algorithm is used to match the captured image with database. Likewise audio
finger print algorithm is used to detect the algorithm through voice command. Here ZigBee is used to transmit the SMS to 25 meter around the forest areas.
A Study on Optimization Algorithm (OA) in Machine Learning and Hierarchical Information
Authors: Pooranam N. , Nithya M. , Praveen Kumar D. , Nayak Rashmi P. , Rakesh G.
Published: May 2020

Genetic Algorithm is a division of machine learning, where the computers are programmed to teach themselves to complete the given task over time. In our project, we simulate many rockets to fly towards the target specified. Genetic algorithm revolves around three main concepts. First
generate a population of random rockets that fly in random directions. Each rocket is implemented as an array of Vectors, where each vector points to a specific direction at a given time. We then apply a fitness function that calculates the best performing rockets in each generation. With
the fitness function, we now select the best rockets with which we form the next population. This involves two steps: First step is the crossover. Choose two parents i.e., two rockets and use their vector values to create a child rocket. This is done by retrieving the first half vectors from
the first parent and second half vectors from the second parent and fuses them to build the child rocket, Second step is the mutation. This step is very crucial. If mutation is not applied, we will receive a new population that is only built around best performing ones from the previous population.We
will then land in local maxima and may never reach the target. Mutation helps create individual rockets that go beyond the local maxima to reach the target. But over mutation will lead to too much diversity that is not beneficial to the system. Thus, define a mutation rate that is optimally
balanced. In mutation, we choose a rocket with random probability, and alter its vector values randomly. This new population of rockets forms the next generation.
Study and Review of Advancements in Cutting Edge Inventions of Nanotechnology “Wherever Technology Takes Us the Human Still Has a Key Role to Play”
Authors: Muthukumar K. , Amudha A. , Richard Arutselvan V. , Radhakrishnan G.
Published: May 2020

The world is on the brink of a new technological revolution beyond any human experience. A new more powerful industrial revolution capable of bringing wealth, health and education, without pollution, to every person on the planet. This is the promise of nanotechnology. Nanotechnology
has gained increased popularity largely due to the design, creation and utilization of materials whose constituent structures exist at Nanoscale. This paper aims to review all the previous work done and also therecent advancements and cutting edge inventions in nanotechnology. Today most of
the products made using nanomaterials have general as well as unique applications like cancer treatment, self-powered Nano systems, Integrated chip fabrications, batteries etc. The recent works in the area of carbon nanotubes, Nano-polymers, nanocomposites, Nano-crystals, Nanoparticles, Nano
shells, nanotubes, Nano filters, Nanohorn, nanowires, Nano springs etc. are reportedand the Various risks involved in using nanotechnology is discussed and the futuristic works like CNT processors, Peroforene, super capacitors and flow batteries are also discussed.
Fraudster Mobile Apps Detector in Google Playstore
Authors: Ramamurthy Madhumitha
Published: May 2020

The identification of the fraudulent app in Google playstore is determined by users only by executing apps and by analyzing permission. An app which has higher rating, ranking and good reviews in Google playstore may attract more users to download and can also be ranked higher in the
leader board. The rating, ranking and reviews are not always real to believe that an app is a legitimate one. Some fraudulent developers boost their apps dishonestly in Google playstore. Hence in this paper, we propose a method to detect the fraud app in Google playstore by aggregating the
three evidences in the playstore such as ranking, reviews and rating of of the particular app. Thus by aggregating entire activities of leading apps, it can achieve accuracy in classifying standard datasets of fraudulent and legitimate apps.
Analysis of 32 × 32-Bit Parallel Pipeline Multiplier Using In-Built Register Transfer Level Testing Approach
Authors: Pattunnarajam P. , Jackson Beulah
Published: May 2020

This paper presents a design and implementation of Fixed Point Ultra High Throughput Multiplier (UHTM) using parallel pipeline architecture for both signed and unsigned numbers to improve the throughput of the VLSI SoC design. Here backend issues are addressed in the front end RTL design
itself hence this reduces the testing time by detecting all possible defects. In this paper RTL coding style is realized with respect to FPGA design. In an FPGA design inbuilt DSP blocks is used for arithmetic (multiplication) operations which will achieve the higher frequency of operation.
In addition power and timing optimization techniques are also addressed to reduce dynamic power. The multiplier hardware design of 32×32 bit UHTM is synthesized in FPGA and compared with the previous works. As a result of this, 32×32 multiplier achieves the throughput of 15552
Mbps at 243 MHz, 64 bits per clock cycle output in FPGA and 32 Gbps at 1.2 GHz, 64 bits per clock cycle in ASIC, obtains the best hardware efficiency in terms of area in the FPGA area utilization of 1264 ALUTs, 2811 FFs in the Cyclone V5CSXFC6D6F3117 device with First in First out latency
of ten clock cycles at the rate of 243 MHz clock frequency. The Structural realization and analysis pertaining to timing, area and power are implemented in Cyclone V 5CSXFC6D6F3117 FPGA and ASIC 28 nm technology.
Volatility in the Indian Stock Market: Evidence from S&P CNX 500
Authors: Shanthaamani V. , Usha V. B.
Published: May 2020

This paper uses the Generalized Autoregressive Conditional Heteroskedastic models to estimate volatility (conditional variance) in the daily returns of the S&P CNX 500 index over the period from April 2007 to March 2018. The models include both symmetric and asymmetric models that
capture the most common stylized facts about index returns such as volatility clustering and leverage effect. The empirical results show that the conditional variance process is highly persistent and provide evidence on the existence of risk premium for the S&P CNX 500 index return series
which support the positive correlation hypothesis between volatility and the expected stock returns. Our findings also show that the asymmetric models provide better fit than the symmetric models, which confirms the presence of leverage effect. These results, in general, explain that high
volatility of index return series is present in Indian stock market over the sample period.
Comparative Study: Artificial Neural Networks Training Functions for Brain Tumor Segmentation for MRI Images
Authors: Chithambaram T. , Perumal K.
Published: May 2020

Brain tumor detection from medical images is essential to diagnose earlier and to take decision in treatment planning. Magnetic Resonance Images (MRI) is frequently preferred for detecting brain tumors by the physicians. This paper analyses various Artificial Neural Networks (ANN) training
functions for brain tumor segmentation such as Levenberg-Marquardt (LM), Quasi Newton back propagation (QN), Bayesian regularization (BR), Resilient back propagation algorithm (RP) and Scaled conjugate gradient back propagation (SCG). The training algorithms were employed in different sized
network for segmentation. The results were carefully analyzed and measured using Dice similarity, sensitivity, specificity and accuracy measures.
Adaptive Neuro-Fuzzy Inference System Based Impulse Denoising
Authors: Jayasri S. K. , Poongodi V.
Published: May 2020

Removing impulse noise from images is a critical issue in image processing because it may occur frequently during acquisition or transmission of images. We propose an anfis based impulse denoising algorithm to preserve the intrinsic geometric details of an image. The main target of
this project is to restore the features of an image without losing any information from the degraded image. This method is more suitable to preserve the features of an image with scale invariant properties of an image. Here we are performing the training the noisy image with ANFIS and testing
the image to retain the features of an original image.
Design of Advanced High Performance Bus Tracer in System on Chip Using Matrix Based Compression for Low Power Applications
Authors: Bhuvaneshwari P. , Jaya Chandra Lekha T. R.
Published: May 2020

This project proposes multilayer advanced high-performance bus architecture for low power applications. The proposed AHB architecture consists of the bus arbiter and the bus tracer (A.R.M.A., 1999. Specification (Rev 2.0) ARM IHI0011A). The bus arbiter, which is self motivated selects
the input packet based on the control signals of the incoming packet. So that arbitration leads to a maximum performance. The On-Chip bus is an important system-on-chip infrastructure that connects major hardware components. Monitoring the on-chip bus signals is crucial to the SoC debugging
and performance analysis/optimization (Gu, R.T., et al., 2007. A Low Cost Tile-Based 3D Graphics Full Pipeline with Real-Time Performance Monitoring Support for OpenGL ES in Consumer Electronics. 2007 IEEE International Symposium on Consumer Electronics, June; IEEE. pp.1–6). But,
such signals are difficult to observe since they are deeply embedded in a SoC and there are often no sufficient I/O pins to access these signals. Therefore, a straightforward approach is to embed a bus tracer in SoC to capture the bus signal trace and store the trace in on-chip storage such
as the trace memory which could then be off loaded to outside world for analysis. The bus tracer is capable of capturing the bus trace with different resolutions, all with efficient built in compression mechanisms such as dictionary based compression scheme for address and control signals
and differential compression scheme for data. To improve the compression ratio matrix based compression which is lossless compression is used instead of differential compression. This system is designed using Verilog HDL, simulated using Modelsim and synthesized using Xilinx software.
Detection of Epilepsy from Electrodermal Activity Signal Using Field Programmable Gate Array
Authors: Nithyaa A. N. , Manjusha M. , Sakthivel S. , Rashmi B.
Published: May 2020

Now a days 14 people per 1,000 population are suffered from epilepsy in India which is found in both children and young adults. Epilepsy is one of the most common neurological disorder which manifest by recurrent involuntary seizures. Epilepsy means “seizure disorders” which
affects people of all ages. In this paper, the early detection of epilepsy can be done by acquiring the electrodermal activity and accelerometer signals by using the BITalino board. The acquired signals are filtered and processed using MATLAB software. The comparison study was done between
a normal and an epilepsy patient using Field Programmable Gate Array.
Volumetric Estimation of Femur Bone for Detecting Osteoporosis
Authors: Shankar N. , Sathish Babu S. , Gnanadas Allwyn , Rajmohan V.
Published: May 2020

Osteoporosis is a diminishing of the bone that prompts break with least compel. It influences postmenopausal ladies and elderly of both sexual orientations. Bone Mineral Density (BMD) is one of the parameter identified with bone quality. Double Energy X-beam Absorptiometry (DXA) is
at present considered as the “highest quality level” for measuring BMD. Morphometric analysis of femur bone is done on both radiographic images and Computed tomography image. An aggregate number of 50 (n = 50) Indian ladies, 18 solid pre menopausal ladies (n = 18,
36.3±8.7 years) and 32 post menopausal ladies (n = 32, 58±9.1 years) whose age extended from 20–85 years were incorporated. The patients are subjected to take X-ray, CT and DXA. The outcomes gotten by DXA found that 20% and 34% of the Indian ladies were having osteoporosis
and osteopenia separately. Using SPSS software, the morphometrics analysis like neck of the bone, width of the neck, thickness of shaft, width of acetabular bone is measured and in CT images using MIMICS software the Hounsfield is measured in neck of femur, trochanter head and shaft. Est volume
is calculated through measured Hounsfield unit. These qualities were observed to be diminished by −29%, −23%, −17%, −15%, and −10% separately, when contrasting with typical Indian ladies. The obtained square of the correlation coefficients (r2)
were 0.22, 0.25, 0.23, 0.41, and 0.34 respectively. In osteoporotic women, The estimated volume of femur neck were significantly reduced by 71.8% and in measured BMD DXA value is reduced by 36.7% compared with normal women. Further, osteoporotic women, the mean values of BMD-DXA as well as
Est-vol. BMD of trochanter were significantly (p = 0.01) reduced by 45.7% and 80.2% respectively, when comparing to normal healthy women. The femur neck and aggregate hip BMD and Singh’s list were lesser by 41.6% and 33.7%, 40% (p < 0.01) individually in osteoporotic post-menopausal
ladies, contrasting with typical post-menopausal ladies. The mean estimations of range and the volume of the proximal neck were diminished −20% and −21% in the osteoporotic Indian ladies than in typical Indian ladies.
Post Evaluation of Tumor Cells Using Fused Positron Emission Tomography CT Imaging
Authors: Allwyn Gnanadas A. , Sathishbabu S. , Shankar N.
Published: May 2020

Tumors, abnormally growing cells when identified in our body it is treated with appropriate medication. Anyway the impact of the medication on tumor cells is constantly disregarded. Ordinary tests however appear to be encouraging, the expense and the hazard included is gigantic. Post
assessment along these lines should be exceptionally refined to create results fast and accurate. Fused imaging, a combination of PET scan and CT scan with suitable processing is utilized to gauge the volume of the tumor without influencing the subject under investigation.This strategy gives
a promising post assessment results on the tumor cell that was under examination. The status of the tumor is also updated at regular intervals with simply imaging the subject at comfort.
Intelligent Home Automation Using Smart Device to Connect or Disconnect Using Internet of Things
Authors: Vamsi Krishna S. , Ramalingeswara Rao N. M. , Lalitha K. V. , Naveen Kumar B.
Published: May 2020

Smart home is an exceptionally encouraging region, which has different types of advantages, for example, giving expanded solace, more noteworthy wellbeing and security, a more judicious utilization of vitality and different assets along these lines adding to a critical investment funds.
This examination application area is imperative and will increment in future as it likewise offers capable means for aiding and supporting uncommon needs of the elderly and individuals with inabilities. This paper shows the improvement of a firmware for a Smart Switch, which can control the
on–off of any electrical gadget at home by utilizing web. The Smart Switch is associated with web by means of Wi-Fi, through a PC, advanced cell, tablet or any gadget with web get to. Keeping in mind the end goal to play out this association it is important to compose the IP pre-customized
into the Smart Switch in a web program with the reason to stack the Smart Switch Server, which will open in design page to compose the information of the client’s system. At that point, the client will choose in programmed mode the system, the security composes, and the client probably
composed a passphrase. Once these data is transferred and spared, it is important to restart the Smart Switch keeping in mind the end goal to access web, from which the client can control the Smart Switch just sending a main or a number zero to switch the electrical gadget, this procedure
is done on a basic level through the web, yet it should be possible without the utilization of web, i.e., by utilizing a neighborhood arrange.
Slip Effect on Magnetohydrodynamic Flow and Heat Transfer of Jeffrey Nanofluid Over a Stretching Sheet in the Presence of Non Linear Thermal Radiation and Chemical Reaction
Authors: Suresh Goud J. , Srilatha P. , Thanesh Kumar K. , Devraj S.
Published: May 2020

Analysis has been conducted to analyze the effects of second order slip flow and heat transfer of Jeffrey nanofluid over a stretching sheet with non linear thermal radiation and chemical reaction. The effects of Brownian motion and thermophoresis occur in the transport equations. The
velocity, temperature and nanoparticle concentration profiles are analyzed with respect to the involved parameters of interest namely Brownian motion parameters, thermophoresis parameter, magnetic parameter, radiation parameter, Prandtl number, Lewis number, chemical reaction parameter, and
Deborah number, Convergence of the derived solutions was checked and the influence of embedded parameters was analyzed by plotting graphs. It was noticed that the velocity increases with an increase in the Deborah number. We further found that for fixed values of other parameters, numerical
values of the skin friction coefficient, local Nusselt numbers and Sherwood numbers were computed and examined. A comparative study between the previous published and present results in a limiting sense is found in an excellent agreement.
A Futuristic Approach: Communication Through Mobile Vibrations
Authors: Gladis Pushparathi V. P. , Chandrashekar T.
Published: May 2020

Technology is so advanced that it could replace one of our senses. If it could replace one of our senses surely it could act as a sense for physically challenged people. Taking this into consideration, this proposed paper explored the possible ways to bring technology into the life
of such people. And it happened to stumble upon deaf-blindness. The proposed system enables deaf-blind people to communicate via Braille vibrations through smart phone application. It can be achieved by developing an operating system that tends to fulfill the needs of physically challenged
which can be developed by using the open source package android. The outcome of the proposed work would be able to allow the physically challenged people to use the smart phones in a way that a normal person would use it today.
Inconvenient truths in suicide prevention: Why a Restorative Just Culture should be implemented alongside a Zero Suicide Framework
Authors: Turner Kathryn , Stapelberg Nicolas JC , Sveticic Jerneja , Dekker Sidney WA
Published: May 2020

Objective:

The prevailing paradigm in suicide prevention continues to contribute to the nihilism regarding the ability to prevent suicides in healthcare settings and a sense of blame following adverse incidents. In this paper, these issues are discussed through the lens of clinicians’ experiences as second victims following a loss of a consumer to suicide, and the lens of health care organisations.

Method:

We discuss challenges related to the fallacy of risk prediction (erroneous belief that risk screening can be used to predict risk or allocate resources), and incident reviews that maintain a retrospective linear focus on errors and are highly influenced by hindsight and outcome biases.

Results:

An argument that a Restorative Just Culture should be implemented alongside a Zero Suicide Framework is developed.

Conclusions:

The current use of algorithms to determine culpability following adverse incidents, and a linear approach to learning ignores the complexity of the healthcare settings and can have devastating effects on staff and the broader healthcare community. These issues represent ‘inconvenient truths’ that must be identified, reconciled and integrated into our future pathways towards reducing suicides in health care. The introduction of Zero Suicide Framework can support the much-needed transition from relying on a retrospective focus on errors (Safety I) to a more prospective focus which acknowledges the complexities of healthcare (Safety II), when based on the Restorative Just Culture principles. Restorative Just Culture replaces backward-looking accountability with a focus on the hurts, needs and obligations of all who are affected by the event. In this paper, we argue that the implementation of Zero Suicide Framework may be compromised if not supported by a substantial workplace cultural change. The process of responding to critical incidents implemented at the Gold Coast Mental Health and Specialist Services is provided as an example of a successful implementation of Restorative Just Culture–based principles that has achieved a culture change required to support learning, improving and healing for our consumers, their families, our staff and broader communities.
Prevalence of intestinal parasites and associated factors among children from child centres in Bahir Dar city, northwest Ethiopia
Authors: Abebaw Aynework , Alemu Getaneh , Ayehu Animen
Published: May 2020

Data concerning the burden of parasites among populations living in overcrowded circumstances have paramount importance for the success of interventions aimed at eliminating such disease. A cross-sectional study was therefore conducted from February to May 2019 among 217 children at child centres in Bahir Dar city. Data were collected using a structured questionnaire and stool samples were processed for parasitological investigation.

A total of 53 (24.4%) children were infected with at least a single species of intestinal parasite. Giardia lamblia (7.8%) was the most frequent, followed by Hymenolepis nana (6%). Children with untrimmed fingernails (adjusted odds ratio [AOR] = 2.422, P = 0.027) were significantly more prone to infection. Similarly, children with no habit of hand washing after soil contact (AOR = 2.752, P = 0.014) or after defecation (AOR = 3.087, P = 0.026) were significantly associated with parasitic infection. The prevalence of intestinal parasites at child centres in Bahir Dar is of public health importance; therefore, control programmes should target these children.
Side-Effects of Representation: Measuring the Impact of Representative Hiring on Employment Discrimination Complaints
Authors: Alteri Ashley M.
Published: May 2020

Since 1978, the government has been implementing programs to combat the underrepresentation of minorities in federal employment. However, representative bureaucracy literature has done little to examine the impact these initiatives are having on the workplace. This article examines the relationship between changes in representation and discrimination complaints. Increases in the ratio of minority and female employees predict an increase in the rates of race and sex-discrimination complaints, respectively. Increases in the ratio of Black/African American and Asian employees predict an increase in race-discrimination complaints. However, the ratio of employees ages 40 or above did not predict changes in age discrimination.
Primary Presentation of Pediatric Hematopoietic Malignancy in the Temporal Bone: Case Report and Review of the Literature
Authors: Dorneden Ashley M. , Husen Brian S. , Han Jennifer H. , Magdaleno Yasmin , Meiklejohn Duncan A.
Published: May 2020

Malignancy of hematopoietic origin comprises a large portion of all pediatric malignancies; however, it is uncommon for patients with this condition to present only with symptoms related to temporal bone involvement. Here, we report a case of Burkitt Lymphoma of the temporal bone in an 8-year-old patient who initially presented with symptoms of acute otitis media. Additionally, we review the current literature on pediatric hematopoietic malignancy with primary temporal bone involvement and discuss the clinical presentation, management, and outcomes of these rare cases.
History of Myringotomy and Grommets: A Perpetuation of Inaccuracies?
Authors: Mudry Albert
Published: May 2020

This letter discuss the inaccuracies contained in the recent paper about history of myringotomy and grommets
Partially and Fully Noncompensatory Response Models for Dichotomous and Polytomous Items
Authors: Chalmers R. Philip
Published: May 2020

This article extends Sympson’s partially noncompensatory dichtomous response model to ordered response data, and introduces a set of fully noncompensatory models for dichotomous and polytomous response data. The theoretical properties of the partially and fully noncompensatory response models are contrasted, and a small set of Monte Carlo simulations are presented to evaluate their parameter recovery performance. Results indicate that the respective models fit the data similarly when correctly matched to their respective population generating model. The fully noncompensatory models, however, demonstrated lower sampling variability and smaller degrees of bias than the partially noncompensatory counterparts. Based on the theoretical properties and empirical performance, it is argued that the fully noncompensatory models should be considered in item response theory applications when investigating conjunctive response processes.
Do House Prices Affect Fertility Behavior in China? An Empirical Examination
Authors: Clark William A. V. , Yi Daichun , Zhang Xin
Published: May 2020

The article provides findings for China that are consistent with the studies that document a negative relationship between the cost of housing and fertility. Although some studies have questioned the negative relationship between housing market prices and fertility, overall the evidence from this large sample study in China suggests that the original interpretation of a negative relationship is still viable. The research uses data from the China Household Finance Survey between 2013 and 2017 to show that there is an approximately 0.94-percentage-point decrease in the probability of having a child under two with a 1 percent increase in housing prices. The article provides instrumental models to account for endogeneity. The results are robust across city levels and by wife’s age. The negative effect is significant in the thirty-five large cities in China but not significant for other smaller cities.