bluuebunny/crossref_metadata_2025_split huggingface dataset:
Credal Fusion of Classifications for Noisy and Uncertain Data
Authors: Karem Fatma , Dhibi Mounir , Martin Arnaud , Bouhlel Med Salim 
Published: October 2017

This paper reports on an investigation in classification technique employed to classify noised and uncertain data. However, classification is not an easy task. It is a significant challenge to discover knowledge from uncertain data. In fact, we can find many problems. More time we don't have a good or a big learning database for supervised classification. Also, when training data contains noise or missing values, classification accuracy will be affected dramatically. So to extract groups from data is not easy to do. They are overlapped and not very separated from each other. Another problem which can be cited here is the uncertainty due to measuring devices. Consequentially classification model is not so robust and strong to classify new objects. In this work, we present a novel classification algorithm to cover these problems. We materialize our main idea by using belief function theory to do combination between classification and clustering. This theory treats very well imprecision and uncertainty linked to classification. Experimental results show that our approach has ability to significantly improve the quality of classification of generic database.
Modeling and Simulation of VSI Fed Induction Motor Drive in Matlab/Simulink
Authors: Uma D. , Vijayarekha K. 
Published: October 2017

The theory of reference frames and switching functions are effective in analyzing the performance of the induction motor fed from VSI (Voltage Source Inverter). In this work, mathematical model of Adjustable Speed Drive (ASD) is developed by taking synchronous reference frame equations for induction motor, switching function concept for VSI and non-switching concept for diode bridge rectifier. The developed model is implemented using MATLAB/Simulink as it is an important tool for the validation of the proposed model. The performance of induction motor is analysed for different frequencies. The developed model is tested for the steady state behavior of machine drive. The proposed mathematical model is validated by the simulation results.
A New Compact and Miniaturized GCPW-fed Slotted Rectangular antenna for Wideband UHF FIRD Applications
Authors: Dakir Rachid , Zbitou Jamal , Mouhsen Ahmed , Tribak A. , Latrach M. , Sanchez A. M. 
Published: October 2017

This paper presents the development of a new miniaturized and compact GCPW-fed slotted rectangular antenna structure reader for wideband UHF RFID applications. The optimized proposed antenna is suitable to operate a large frequency-band range from 0.8GHz to 1.3GHz with a bandwidth of 500MHz with a return loss less than -10dB. The antenna is based on a 1.6mm thickness FR4 epoxy substrate with a reduce dimensions compared to the simple rectangular antenna and size of proposed antenna is 47*40mm2. The new design consists of a compact rectangular patch with symmetric U-shaped slots and I-shaped include a partial ground plan and fed by 50 Grounded coplanar line. The antenna parameters have been investigated and optimized by using CST Microwave Studio. To validate the CST Microwave Studio results before the antenna achievement, we have conducted another study by using ADS. The final circuit achieved, measured and validated. Experimental results show that the proposed antenna has good radiation characteristics and operating in UHF-RFID applications.
Parametric Comparison of K-means and Adaptive K-means Clustering Performance on Different Images
Authors: Sahu Madhusmita , Parvathi K. , Krishna M. Vamsi 
Published: October 2017

<p>Image segmentation takes a major role to analyzing the area of interest in image processing. Many researchers have used different types of techniques to analyzing the image. One of the widely used techniques is K-means clustering. In this paper we use two algorithms K-means and the advance of K-means is called as adaptive K-means clustering. Both the algorithms are using in different types of image and got a successful result. By comparing the Time period, PSNR and RMSE value from the result of both algorithms we prove that the Adaptive K-means clustering algorithm gives a best result as compard to K-means clustering in image segmentation. </p>
Improved Timing Estimation Using Iterative Normalization Technique for OFDM Systems
Authors: Suyoto Suyoto , Iskandar Iskandar , Sugihartono Sugihartono , Kurniawan Adit 
Published: October 2017

<p>Conventional timing estimation schemes based on autocorrelation experience performance degradation in the multipath channel environment with high delay spread. To overcome this problem, we proposed an improvement of the timing estimation for the OFDM system based on statistical change of symmetrical correlator. The new method uses iterative normalization technique to the correlator output before the detection based on statistical change of symmetric correlator is applied. Thus, it increases the detection probability and achieves better performance than previously published methods in the multipath environment. Computer simulation shows that our method is very robust in the fading multipath channel</p>
Node Disjoint Random and Optimal Path Selection (NDROPS) Algorithm for Security in MANETS
Authors: Suma P. , Nagaraju O. , Hussain Md. Ali 
Published: October 2017

<p class="ABSTRACT">Mobile Adhoc Networks are shortly called MANETs. In these types of networks, fixed infrastructures are absent and are dynamic in nature. Nodes are movable, and they are not connected with any wires. For monitoring or supervising the transmissions in MANETS, no central supervision is present. Moving nodes, dynamic topology, and absence of infrastructure are the features of MANETs. These features are advantageous where wires cannot be used and where nodes are supposed to move. But there is a problem of security. Networks are highly prone to attacks where finding the root of the cause is very hard. Many nodes disjoint routing algorithms are proposed to balance the load, to cope up with link failures, etc. This paper proposes an algorithm called Node Disjoint Random and Optimal Path Selection (NDROPS) algorithm which uses the concept of dynamic routing and node disjoint routing to provide all the above-stated advantages along with security. Routing of data packets is done through few paths which are node disjoint. The main essence of this algorithm is to distribute the data among different routes. So, a malicious node in a path can retrieve only a few packets in random. The simulation of the proposed NDROPS algorithm is performed and the performance is compared using throughout and packet drop probability.</p>
Optimization of Energy Aware Path Routing Protocol in Wireless Sensor Networks
Authors: Vamsi Krishna M. Naga , Harsha N. Sai , Kiran K.V.D , Swain Gandharba 
Published: October 2017

Strength conservation is one of the biggest challenges to the successful WSNs since the tiny very limited resource nodes such as energy, memory space| as well as communication and computation capabilities. the sensors are unattended Implemented and battery recharge is almost impossible. So many investigations have be done in redirecting energy efficient algorithms or protocols for WSNs. Our reasons behinds the study of number is based on the following three aspects. Initially of all First, we see That immediate transmittal is employed under small scale while multi-hop network transmittal network is employed under mass. All of us want to find the Which factors influence the transmittal manner. Second, it is Commonly That multi-hop agree transmitting more energy efficient than Usually transmitting When the average solitary source to destination distance is large. Yet ,}how to look for the optimal hop number in order That the overall energy consumption is nominal is not well tackled. Third, the hot location phenomenon the networking lifetime influences directly. After that all of us recommend to Optimization of energy aware routing path (OEAPR) algorithm, Which incorporate the overall routing mechanism With hop-based direction-finding nature During process in WSNs.
The Analysis of Performace Model Tiered Artificial Neural Network for Assessment of Coronary Heart Disease
Authors: Wiharto Wiharto , Herianto Harianto , Kusnanto Hari 
Published: October 2017

<p>The assessment model of coronary heart disease is so much developed in line with the development of information technology, particularly the field of artificial intelligence. Unfortunately, the assessment models developed mostly do not use such an approach made by the clinician, the tiered approach. This study aims to analyze the performance of a tiered model assessment. The method used for each level is, preprocessing, building architecture artificial neural network (ANN), conduct training using the Levenberg-Marquardt algorithm and one step secant, as well as testing the system. The study is divided into the terms of the stages in the examination procedure. The test results showed the influence of each level, both when the output level of the previous positive or negative, were tested back at the next level. The performance evaluation may indicate that the top level provides performance improvement and or reinforce the previous level. </p>
Care in Specialized Centers and Data Sharing Increase Agreement in Hypertrophic Cardiomyopathy Genetic Test Interpretation
Authors: Furqan Aisha , Arscott Patricia , Girolami Francesca , Cirino Allison L. , Michels Michelle , Day Sharlene M. , Olivotto Iacopo , Ho Carolyn Y. , Ashley Euan , Green Eric M. , Caleshu Colleen 
Published: October 2017

Background—
Clinically impactful differences in the interpretation of genetic test results occur between laboratories and clinicians. To improve the classification of variants, a better understanding of why discrepancies occur and how they can be reduced is needed.

Methods and Results—

We examined the frequency, causes, and resolution of discordant variant classifications in the Sarcomeric Human Cardiomyopathy Registry (SHaRe), a consortium of international centers with expertise in the clinical management and genetic architecture of hypertrophic cardiomyopathy. Of the 112 variants present in patients at >1 center, 23 had discordant classifications among centers (20.5%; Fleiss κ, 0.54). Discordance was more than twice as frequent among clinical laboratories in ClinVar, a public archive of variant classifications (315/695 variants; 45.2%; Fleiss κ, 0.30;
P
<0.001). Discordance in SHaRe most frequently occurred because hypertrophic cardiomyopathy centers had access to different privately held data when making their classifications (75.0%). Centers reassessed their classifications based on a comprehensive and current data summary, leading to reclassifications that reduced the discordance rate from 20.5% to 10.7%. Different interpretations of rarity and co-occurrence with pathogenic variants contributed to residual discordance.

Conclusions—
Discordance in variant classification among hypertrophic cardiomyopathy centers is largely attributable to privately held data. Some discrepancies are caused by differences in expert assessment of conflicting data. Discordance was markedly lower among centers specialized in hypertrophic cardiomyopathy than among clinical laboratories, suggesting that optimal genetic test interpretation occurs in the context of clinical care delivered by specialized centers with both clinical and genetics expertise.
Reduced Cardiac
Calcineurin
Expression Mimics Long-Term Hypoxia-Induced Heart Defects in
Drosophila
Authors: Zarndt Rachel , Walls Stanley M. , Ocorr Karen , Bodmer Rolf 
Published: October 2017

Background—

Hypoxia is often associated with cardiopulmonary diseases, which represent some of the leading causes of mortality worldwide. Long-term hypoxia exposures, whether from disease or environmental condition, can cause cardiomyopathy and lead to heart failure. Indeed, hypoxia-induced heart failure is a hallmark feature of chronic mountain sickness in maladapted populations living at high altitude. In a previously established
Drosophila
heart model for long-term hypoxia exposure, we found that hypoxia caused heart dysfunction. Calcineurin is known to be critical in cardiac hypertrophy under normoxia, but its role in the heart under hypoxia is poorly understood.

Methods and Results—

In the present study, we explore the function of
calcineurin
, a gene candidate we found downregulated in the
Drosophila
heart after lifetime and multigenerational hypoxia exposure. We examined the roles of 2 homologs of Calcineurin A, CanA14F, and Pp2B in the
Drosophila
cardiac response to long-term hypoxia. We found that knockdown of these calcineurin catalytic subunits caused cardiac restriction under normoxia that are further aggravated under hypoxia. Conversely, cardiac overexpression of Pp2B under hypoxia was lethal, suggesting that a hypertrophic signal in the presence of insufficient oxygen supply is deleterious.

Conclusions—
Our results suggest a key role for calcineurin in cardiac remodeling during long-term hypoxia with implications for diseases of chronic hypoxia, and it likely contributes to mechanisms underlying these disease states.
Validation of Polygenic Scores for QT Interval in Clinical Populations
Authors: Rosenberg Michael A. , Lubitz Steven A. , Lin Honghuang , Kosova Gulum , Castro Victor M. , Huang Paul , Ellinor Patrick T. , Perlis Roy H. , Newton-Cheh Christopher 
Published: October 2017

Background—
Polygenic risk scores (PGS) enable rapid estimation of genome-wide susceptibility for traits, which may be useful in clinical settings, such as prediction of QT interval. In this study, we sought to validate PGS for QT interval in 2 real-world cohorts of European ancestry (EA) and African ancestry (AA).

Methods and Results—

Two thousand nine hundred and fifteen participants of EA and 366 of AA in the MGH CAMP study (Cardiology and Metabolic Patient) were genotyped on a genome-wide array and imputed to the 1000 Genomes reference panel. An additional 820 EA and 57 AA participants in the Partners Biobank were genotyped and used for validation. PGS were created for each individual using effect estimates from association tests with QT interval obtained from prior genome-wide association studies, with variants selected based from multiple significance thresholds in the original study. In regression models, clinical variables explained ≈9% to 10% of total variation in resting QTc in EA individuals and ≈12% to 18% in AA individuals. The PGS significantly increased variation explained at most significance thresholds (
P
<0.001), with a trend toward increased variation explained at more stringent
P
value cut points in the CAMP EA cohort (
P
<0.05). In AA individuals, PGS provided no improvement in variation explained at any significance threshold.

Conclusions—

For individuals of European descent, PGS provided a significant increase in variation in QT interval explained compared with a model with only nongenetic factors at nearly every significance level. There was no apparent benefit gained by relaxing the significance threshold from conventional genome-wide significance (
P
<5×10
−
8
).
Genomic Triangulation and Coverage Analysis in Whole-Exome Sequencing–Based Molecular Autopsies
Authors: Shanks Garrett W. , Tester David J. , Nishtala Sneha , Evans Jared M. , Ackerman Michael J. 
Published: October 2017

Background—
WEMA (Whole-Exome Molecular Autopsy) and surveillance of cardiac channelopathy and cardiomyopathy genes represents the latest molecular autopsy for sudden death in the young (SDY). To date, the majority of WEMA has been performed on the SDY case only.

Methods and Results—
We performed whole-exome sequencing and nucleotide-level coverage analysis on 28 SDY cases (18.4±7.8 years) and their parents to determine the inheritance patterns of ultrarare, nonsynonymous variants in 99 sudden death–susceptibility genes. Nonsynonymous variants were adjudicated using the American College of Medical Genetics guidelines. Overall, 17 sudden death–susceptibility gene variants were identified in 12 of 28 (43%) SDY cases. On the basis of the American College of Medical Genetics guidelines, 6 of 28 (21%) cases had a pathogenic or likely pathogenic nonsynonymous variant with 3 (50%) being de novo. Two nonsynonymous variants would not have been elevated to likely pathogenic status without knowing their de novo status. Whole-exome sequencing reached a read depth of 10× across 90% of nucleotides within sudden death–susceptibility genes in 100% of parental exomes from fresh blood draw, compared with only 82% of autopsy-sourced SDY exomes.

Conclusions—
An SDY-parent, trio-based WEMA may be an effective way of elucidating a monogenic cause of death and bringing clarity to otherwise ambiguous variants. If other studies confirm this relatively high rate of SDY cases stemming from de novo mutations, then the WEMA should become even more cost-effective given that the decedent’s first-degree relatives should only need minimal cardiological evaluation. In addition, autopsy-sourced DNA demonstrated strikingly lower whole-exome sequencing coverage than DNA from fresh blood draw.
Carotid Stent Fractures Are Not Associated With Adverse Events
Authors: Weinberg Ido , Beckman Joshua A. , Matsumura Jon S. , Rosenfield Kenneth , Ansel Gary M. , Chaturvedi Seemant , Gray William , Metzger D. Chris , Riles Tom , Shu Yu , Wechsler Lawrence , Jaff Michael R. 
Published: October 2017

Background:
The impact of carotid artery stent fractures on the incidence of adverse clinical events remains unclear. The objective of this study is to report the stent fracture rate and its association with in-stent restenosis and adverse outcomes in the ACT-1 trial (Carotid Angioplasty and Stenting Versus Endarterectomy in Asymptomatic Subjects Who Are at Standard Risk for Carotid Endarterectomy With Significant Extracranial Carotid Stenotic Disease).

Methods:
ACT-1 is a prospective multicenter trial of patients who have standard surgical risk with severe asymptomatic carotid artery stenosis randomly assigned to carotid artery stenting or carotid endarterectomy (Abbott Vascular). The primary end point was a composite of death, stroke, or myocardial infarction during the 30 days after the procedure or ipsilateral stroke during the 365 days after the procedure. After 771 patients were enrolled, successively randomly assigned patients were required to undergo annual radiographic (x-ray) analysis for stent fracture. Images were independently adjudicated by a core laboratory.

Results:

Of 1021 patients treated with carotid artery stenting during a mean follow-up of 3.1±1.6 years, 939 had at least 1 x-ray during the follow-up period. Stent fracture was reported in 51 (5.4%) patients. With a maximum follow-up period of 5 years, adverse clinical outcomes occurred in 39 patients with at least 1 x-ray during the follow-up. Of 826 (80.9%) subjects who underwent both duplex ultrasound and x-ray, 822 (99.5%) were interpretable. There was no association between stent fracture and the primary end point (
P
=0.86) or with restenosis (
P
=0.53).

Conclusions:
In this large, independently adjudicated, multicenter study, the stent fracture rate was low and not associated with major adverse clinical events or in-stent restenosis.

Clinical Trial Registration:

URL:
https://www.clinicaltrials.gov
. Unique identifier: NCT00106938.
Genetic Control of Serum Marinobufagenin in the Spontaneously Hypertensive Rat and the Relationship to Blood Pressure
Authors: Dmitrieva Renata I. , Cranford Stacy M. , Doris Peter A. 
Published: October 2017

Background

We have investigated serum levels of immunoreactive marinobufagenin (
MBG
) in 16‐ to 20‐week‐old spontaneously hypertensive rats (
SHRs
)‐A3 and in the normotensive Wistar‐Kyoto (
WKY
) rat strain in the absence of salt loading, and we have investigated the genetic control of serum
MBG
.

Methods and Results

We genotyped the F2 progeny of an
SHR
‐A3×
WKY
intercross using a genome‐wide panel of 253 single‐nucleotide polymorphism markers that were dimorphic between
SHR
‐A3 and
WKY
and measured serum
MBG
by
ELISA
. Serum
MBG
levels were lower in
SHR
‐A3 than
WKY
rats (0.39±0.07 and 1.27±0.40 nmol/L, respectively), suggesting that
MBG
may not play a role in the markedly divergent blood pressure measured by telemetry in rats of these 2 strains (
SHR
‐A3 and
WKY,
198.3±4.43 and 116.8±1.51 mm Hg, respectively). The strain difference in serum
MBG
was investigated to determine whether genomic regions influencing
MBG
might be identified by genetic mapping. Quantitative trait locus mapping indicated a single locus influencing serum
MBG
in the region of chromosome 6q12. Homozygosity of
WKY
alleles at this locus was associated with increased serum
MBG
levels. We surveyed whole genome sequences from our
SHR
‐A3 and
WKY
lines, seeking coding sequence variation between
SHR
‐A3 and
WKY
within the mapped locus that might explain the inherited strain difference in serum
MBG
.

Conclusions

We identified amino acid substitution in the sterol transport protein Abcg5, present in
SHR
‐A3, but absent in
WKY
, that is a potential mechanism influencing
MBG
levels.
Utilization of a Smartphone Platform for Electronic Informed Consent in Acute Stroke Trials
Authors: Haussen Diogo C. , Doppelheuer Shannon , Schindler Kiva , Grossberg Jonathan A. , Bouslama Mehdi , Schultz Meagan , Perez Hilarie , Hall Alex , Frankel Michael , Nogueira Raul G. 
Published: October 2017

Background and Purpose—
The informed consent process is a major limitation for enrollment in acute stroke clinical investigations. We aim to describe the novel application of smartphone electronic informed consenting (e-Consent) in trials of cerebral thrombectomy.

Methods—
The e-Consent tool consists of a secure/Health Insurance Portability and Accountability Act compliant smartphone platform based on REDCap (Research Electronic Data Capture; Vanderbilt University, TN) that uses a survey project located on a static webpage. A link to the webpage is sent via text message or email to the legally authorized representative. The e-Consent form is filled and a freehand electronic signature added in the smartphone browser; a record ID and an e-Consent Process Attestation form are automatically generated. The e-Consent application was piloted in a randomized trial comparing endovascular versus medical therapy in late presenting patients (DAWN [Clinical Mismatch in the Triage of Wake Up and Late Presenting Strokes Undergoing Neurointervention With Trevo]). Trial enrollment began in January 2015; e-Consent was approved by the local institutional review board in December 2016, and the study was stopped in February 2017.

Results—

During the trial period, Grady Memorial Hospital performed 273 thrombectomies with 47 patients being consented and 38 patients enrolled in the DAWN trial. Of the randomized patients, 29 (76%) were transferred from outside hospitals. A total of 6 surrogates were e-Consented, with 2 patients being screen failures. Enrolled e-Consented patients (n=4) had similar age (73±14 versus 69±12 years;
P
=0.65) and National Institutes of Health Stroke Scale (16±5 versus 16±5;
P
=0.88) as compared with conventionally consented (n=25). Time from door-to-randomization was decreased with e-Consenting (28±9 versus 57±24 minutes;
P
=0.002).

Conclusions—
e-Consenting streamlined the consenting process in a randomized trial of patients with emergent large vessel occlusion strokes.