bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of DICOM Image Compression Alternative Using Huffman Coding
Authors: Rahmat Romi Fadillah , Andreas T. S. M. , Fahmi Fahmi , Pasha Muhammad Fermi , Alzahrani Mohammed Yahya , Budiarto Rahmat
Published: June 2019

Compression, in general, aims to reduce file size, with or without decreasing data quality of the original file. Digital Imaging and Communication in Medicine (DICOM) is a medical imaging file standard used to store multiple information such as patient data, imaging procedures, and the image itself. With the rising usage of medical imaging in clinical diagnosis, there is a need for a fast and secure method to share large number of medical images between healthcare practitioners, and compression has always been an option. This work analyses the Huffman coding compression method, one of the lossless compression techniques, as an alternative method to compress a DICOM file in open PACS settings. The idea of the Huffman coding compression method is to provide codeword with less number of bits for the symbol that has a higher value of byte frequency distribution. Experiments using different type of DICOM images are conducted, and the analysis on the performances in terms of compression ratio and compression/decompression time, as well as security, is provided. The experimental results showed that the Huffman coding technique has the capability to compress the DICOM file up to 1 : 3.7010 ratio and up to 72.98% space savings.
Detection of Virulence Genes in Multidrug Resistant Enterococci Isolated from Feedlots Dairy and Beef Cattle: Implications for Human Health and Food Safety
Authors: Tatsing Foka Frank Eric , Ateba Collins Njie
Published: June 2019

The misuse/abuse of antibiotics in intensive animal rearing and communities led to the emergence of resistant isolates such as vancomycin-resistant enterococci (VREs) worldwide. This has become a major source of concern for the public health sector. The aim of this study was to report the antibiotic resistance profiles and to highlight the presence of virulence genes in VREs isolated from feedlots cattle of the North-West Province of South Africa. 384 faecal samples, 24 drinking troughs water, and 24 soil samples were collected aseptically from 6 registered feedlots. Biochemical and molecular methods were used to identify and categorise the enterococci isolates. Their antibiotic resistance profiles were assessed and genotypic methods were used to determine their antibiotic resistance and their virulence profiles. 527 presumptive isolates were recovered, out of which 289 isolates were confirmed asEnterococcussp. Specifically,E. faecalis(9%),E. faecium(10%),E. durans(69%),E. gallinarum(6%),E. casseliflavus(2%),E. mundtii(2%), andE. avium(2%) were screened after molecular assays.VanA(62%),vanB(17%), andvanC(21%) resistance genes were detected in 176Enterococcussp., respectively. Moreover,tetK(26),tetL(57),msrA/B(111), andmefA(9) efflux pump genes were detected in 138 VRE isolates.Multiple antibiotic resistances were confirmed in all the VRE isolates of this study; the most common antibiotic resistance phenotype wasTETR-AMPR-AMXR-VANR-PENR-LINR-ERYR.CylA,hyl,esp,gelE, andasa1virulence genes were detected in 86 VREs with the exception of vancomycin-resistantE. mundtiiisolates that did not display any virulence factor. Most VRE isolates had more than one virulence genes but the most encountered virulence profile wasgelE-hyl. Potentially pathogenic multidrug resistant VREs were detected in this study; this highlights the impact of extensive usage of antimicrobials in intensive animal rearing and its implications on public health cannot be undermined.
Explicit Solutions and Conservation Laws for a New Integrable Lattice Hierarchy
Authors: Yang Qianqian , Zhao Qiulan , Li Xinyue
Published: June 2019

An integrable lattice hierarchy is derived on the basis of a new matrix spectral problem. Then, some properties of this hierarchy are shown, such as the Liouville integrability, the bi‐Hamiltonian structure, and infinitely many conservation laws. After that, the Darboux transformation of the first integrable lattice equation in this hierarchy is constructed. Eventually, the explicitly exact solutions of the integrable lattice equation are investigated via graphs.
Oscillatory Shear Stress Induces Oxidative Stress via TLR4 Activation in Endothelial Cells
Authors: Wang Zhimei , Wang Feng , Kong Xiangquan , Gao Xiaofei , Gu Yue , Zhang Junjie
Published: June 2019

Background. Oscillatory shear stress (OSS) disrupts endothelial homeostasis and promotes oxidative stress, which can lead to atherosclerosis. In atherosclerotic lesions, Toll-like receptor 4 (TLR4) is highly expressed. However, the molecular mechanism by which TLR4 modulates oxidative changes and the cell signaling transudation upon OSS is yet to be determined. Methods and Results. Carotid artery constriction (CAC) surgery and a parallel-plate flow chamber were used to modulate shear stress. The results showed that OSS significantly increased the oxidative burden, and this was partly due to TLR4 activation. OSS activated NOX2 and had no significant influence to NOX1 or NOX4 in endothelial cells (ECs). OSS phosphorylated caveolin-1, promoted its binding with endothelial nitric oxide synthase (eNOS), and resulted in deactivation of eNOS. TLR4 inhibition restored levels of nitric oxide (NO) and superoxide dismutase (SOD) in OSS-exposed cells. Conclusion. TLR4 modulates OSS-induced oxidative stress by activating NOX2 and suppressing eNOS.
Intravascular Thrombolysis Followed by Stenting as Management of Retrohepatic Inferior Vena Caval Thrombosis due to a Twist in the Inferior Vena Cava after Deceased Donor Liver Transplant
Authors: Kituuka Olivia , Rai Rakesh , Thorat Ashok , Kweyamba Vianney , Elobu Alex , Mondel Prabath
Published: June 2019

Inferior vena cava (IVC) occlusion due to acute thrombosis is a rare but important vascular complication after deceased donor liver transplantation (DDLT) that has been reported to occur up to 2% of recipients in a posttransplant period. This may be caused by direct instrumentation of the IVC stenosis at the anastomotic site, haematoma, and rarely by a twist in the retrohepatic IVC. The location of the thrombus, the timing after the surgery, and associated hemodynamic disturbances define the outcome of the patient. Without prompt diagnosis and timely intervention, the outcome after IVC thrombosis is usually dismal. Herein, we report a rare case of near-complete occlusion of the IVC secondary to intracaval thrombosis after DDLT associated with twisting of the IVC at the suprahepatic anastomosis which was successfully managed by intravascular thrombolysis and stenting.
Plant Phenotyping: Past, Present, and Future
Authors: Pieruschka Roland , Schurr Uli
Published: June 2019

A plant develops the dynamic phenotypes from the interaction of the plant with the environment. Understanding these processes that span plant’s lifetime in a permanently changing environment is essential for the advancement of basic plant science and its translation into application including breeding and crop management. The plant research community was thus confronted with the need to accurately measure diverse traits of an increasingly large number of plants to help plants to adapt to resource-limiting environment and low-input agriculture. In this overview, we outline the development of plant phenotyping as a multidisciplinary field. We sketch the technological advancement that laid the foundation for the development of phenotyping centers and evaluate the upcoming challenges for further advancement of plant phenotyping specifically with respect to standardization of data acquisition and reusability. Finally, we describe the development of the plant phenotyping community as an essential step to integrate the community and effectively use the emerging synergies.
Poorly Controlled Type 3c Diabetes due to Use of Veterinarian Insulin Syringes
Authors: Barrera Francisco , Murvelashvili Natia
Published: June 2019

Initiation of insulin therapy can be challenging for patients; proper training should be given by physicians and certified educators to ensure correct and safe use for outpatient population. Different insulin strengths are now available in the US; while U-40 insulin does not exist in the United States for humans, it is a very common strength used in animals. We are reporting a 30-year-old male that became insulin dependent after hospitalization for necrotizing pancreatitis who was using U-40 syringes to draw from the prescribed insulin U-100 and also presented with repeated hypoglycemic episodes.
Changes in Metamorphopsia, Visual Acuity, and Central Macular Thickness after Epiretinal Membrane Surgery in Four Preoperative Stages Classified with OCT B-Scan Images
Authors: Mao Jianbo , Wu Hanfei , Liu Chenyi , Zhu Chenting , Lao Jimeng , Chen Yiqi , Tao Jiwei , Zhang Yun , Shen Lijun
Published: June 2019

Purpose. To observe the changes in metamorphopsia, visual acuity, and central macular thickness (CMT) in patients undergoing vitrectomy for idiopathic epiretinal membranes (iERM); all of which were preoperatively stratified into 4 stages according to the anatomical structure of the macula seen on the optical coherence tomography (OCT) b-scan images. Methods. A total of 108 eyes of 106 patients were included. We evaluated and classified the severity of each preoperative ERM based on OCT. Changes in the best-corrected visual acuity (BCVA), metamorphopsia, and CMT were studied by comparing the pre- and postoperative measurements. The follow-up time was at least 6 months. Results. There were 41 eyes at stage 2, 35 at stage 3, 32 at stage 4, and none at stage 1. BCVA and metamorphopsia significantly improved at the final visit in all patients (P<0.01). However, comparing the pre- and postoperative measurements at each stage, only the BCVA and CMT improved significantly for all stages (P<0.001). For stages 2 and 3 ERMs, the horizontal (MH) and vertical (MV) metamorphopsia scores decreased significantly after surgery (P<0.05). No significant difference was found in either MH or MV for stage 4 ERMs (P both >0.05). The preoperative BCVA, MH, and CMT had significant difference among the three stages (P<0.05). Similarly, the postoperative values in the three variables mentioned above also had significant difference among the three stages (P<0.05). For stage 2 ERMs, the baseline MH and MV were positively correlated with the baseline CMT. The MH and MV at the final follow-up also presented a significant positive correlation with the baseline CMT. For stage 3 ERMs, only the baseline MV showed significant correlation with the CMT. Conclusion. Categorization of the preoperative ERMs is a useful method to predict the postoperative improvement in metamorphopsia, which would aid in surgical decisions for patients with ERMs.
Brain Metastasis Mimicking Brain Abscess in ALK-Positive Non-Small-Cell Lung Cancer
Authors: Sakatani Toshio , Kage Hidenori , Takayanagi Shunsaku , Watanabe Kaoru , Hiraishi Yoshihisa , Shinozaki-Ushiku Aya , Tanaka Shota , Ushiku Tetsuo , Saito Nobuhito , Nagase Takahide
Published: June 2019

Brain metastasis frequently develops in non-small-cell lung cancer (NSCLC). Here, we report a patient who developed brain metastasis from ALK-positive NSCLC which mimicked brain abscess. He was admitted for suspected obstructive pneumonia nine months after curative lung resection. Head magnetic resonance imaging revealed a cavitary lesion, which was compatible with brain abscess but rare in brain metastasis. However, after treatment with antibiotics, the brain lesion increased in size. Aspiration of the liquid content of the brain lesion revealed cancer cells. When a brain lesion suggestive of abscess develops in a patient with ALK-positive NSCLC, aspiration may be necessary to differentiate metastasis from abscess.
Risk of Atopic Diseases among Siblings of Patients with Attention-Deficit Hyperactivity Disorder: A Nationwide Population-Based Cohort Study
Authors: Chang Tsung-Hsien , Tai Ying-Hsuan , Dai Ying-Xiu , Chang Yun-Ting , Chen Tzeng-Ji , Chen Mu-Hong
Published: June 2019

Background: Increasing evidence suggests a positive association between attention-deficit hyperactivity disorder (ADHD) and atopic diseases. However, the risk of atopic diseases in unaffected siblings of patients with ADHD has not been investigated. Objective: To investigate the risk of developing atopic diseases among unaffected siblings of ADHD probands. Methods: Using data from the Taiwan National Health Insurance Research Database, 20,170 unaffected siblings of patients with ADHD born between 1980 and 2000 and 80,680 age-, birth time-, and residence-matchedcontrols were included in this study. Diagnoses of atopic diseases, including asthma, atopic dermatitis, allergic rhinitis, and allergic conjunctivitis, were ascertained from 1996 or the birth time until the end of 2011. Results: Breslow-Cox proportional hazard regression analyses with adjustment for demographic data showed that compared with the controls, unaffected siblings of patients with ADHD had a higher risk of developing asthma (relative risk [RR], 1.19; 95% confidence interval [CI], 1.15–1.24), atopic dermatitis (RR, 1.10; 95% CI, 1.04–1.16), allergic rhinitis (RR, 1.17; 95% CI, 1.14–1.21), allergic conjunctivitis (RR, 1.13; 95% CI, 1.09–1.17), and any of these atopic diseases (RR, 1.13; 95% CI, 1.10–1.15). Conclusion: The unaffected siblings of ADHD probands were more likely to develop atopic diseases compared with the controls, suggesting shared risk factors for both diseases.
A Fast Genetic Algorithm for Solving University Scheduling Problem
Authors: Abbaszadeh Mortaza , Saeedvand Saeed
Published: June 2019

University course timetabling is a NP-hard problem which is very difficult to solve by conventional methods, we know scheduling problem is one of the Nondeterministic Polynomial (NP) problems. This means, solving NP problems through normal algorithm is a time-consuming process (it takes days or months with available equipment) which makes it impossible to be solved through a normal algorithm like this. In purposed algorithm the problem of university class scheduling is solved through a new chromosome structure and modifying the normal genetic methods which really improves the solution in this case. We include lecturer, class and course information in presented algorithm, with all their Constraints, and it creates optimized scheduling table for weekly program of university after creating primary population of chromosomes and running genetic operators. In the final part of this paper we conclude from the results of input data analysis that the results have high efficiency compared with other algorithms considering maximum Constraints.
Ontology Based RT-Delphi with Explanation Capabilities
Authors: Omran Ahmed , Khorshid Motaz
Published: June 2019

Real-Time (RT) Delphi approach is widely used method for knowledge acquisition process. The current RT-Delphi approach ignores considering the unifying domain concepts and their attributes. This limitation can provide the contradiction of the domain experts' judgments and increasing misunderstandings when talking about specific topics. In addition, the current RT-Delphi ignores the explanation capabilities for consensus results, which it is vital for policy/decision makers to be more confidence. The core of this research is to develop ontology-based RT-Delphi with explanation capabilities. We applied the developed approach in to two crucial important case studies in Egypt, which are food security and water security.
Extractive Based Single Document Text Summarization Using Clustering Approach
Authors: Bhole Pankaj Kailas , Agrawal A. J.
Published: June 2019

Text  summarization is  an  old challenge  in  text  mining  but  in  dire  need  of researcher’s attention in the areas of computational intelligence, machine learning  and  natural  language  processing. We extract a set of features from each sentence that helps identify its importance in the document. Every time reading full text is time consuming. Clustering approach is useful to decide which type of data present in document. In this paper we introduce the concept of k-mean clustering for natural language processing of text for word matching and in order to extract meaningful information from large set of offline documents, data mining document clustering algorithm are adopted.
Visual Surveillance for Hajj and Umrah: A Review
Authors: Ali Yasir Salih , Simsim Mohammed Talal
Published: June 2019

This paper presents advances on crowd management research with specific interest on high density crowds such as Hajj and Umrah crowds. In the past few years, there has been increasing interest in pursuing video analytics and visual surveillance to improve the security and safety of pilgrimages during their stay in Mecca. Despite the fact that visual surveillance research has matured significantly in the rest of the world and had been implemented in many scenarios, research on visual surveillance for Hajj and Umrah application still remains at its early stages and there are many issues that need to be addressed in future research. This is mainly because Hajj is a very unique event that shows the clustering of millions of people in small area where most advanced image processing and computer vision algorithms fail to generate accurate analysis of the image content. There is a strong need to develop new algorithms specifically tailored for Hajj and Umrah applications. This review aims to give attentions to these interesting future research areas based on analysis of current visual surveillance research. The review also pinpoint to pioneer techniques on visual surveillance in general that can be customized to Hajj and Umrah applications.
Effect of Feature Selection on Small and Large Document Summarization
Authors: Sakhare Dipti Yashodhan , Rajkumar Rajkumar
Published: June 2019

As the amount of textual Information increases, we experience a need for Automatic Text Summarizers. In Automatic summarization a text document or a larger corpus of multiple documents are reduced to a short set of words or paragraph that conveys the main meaning of the text Summarization can be classified into two approaches: extraction and abstraction. This paper focuses on extraction approach.The goal of text summarization based on extraction approach is sentences selection. The first step in summarization by extraction is the identification of important features. In our approach short stories and biographies are used as test documents. Each document is prepared by pre-processing process: sentence segmentation, tokenization, stop word removal, case folding, lemmatization, and stemming. Then, using important features, sentence filtering, data compression and finally calculating score for each sentence is done. In this paper we proposed various features of Summary Extraction and also analyzed features that are to be applied depending upon the size of the Document. The experimentation is performed with the DUC 2002 dataset. The comparative results of the proposed approach and that of MS-Word are also presented here. The concept based features are given more weightage. From these results we propose that use of the concept based features helps in improving the quality of the summary in case of large documents.
Optical Character Recognition of Off-Line Typed and Handwritten English Text Using Morphological and Template Matching Techniques
Authors: Oladayo Olakanmi Olufemi
Published: June 2019

The existence of several documents in historical archives which need to be edited and stored in a computer has been one of the drives of Optical Character Reader (OCR) research. Earlier scanner has been used to achieve this tedious task however scanner only produces picture images of the documents.This makes the documents unreadable and un-editable through other word processing applications.This paper proposed an OCR system which converts off line typed and handwritten texts into their editable textual representations.The morphological correlation technique improves the mapping and recognition efficiency of the OCR system.
Design and Development of an Agorithm for Prioritizing the Test Cases Using Neural Network as Classifier
Authors: Verma Amit , Kaur Simranjeet
Published: June 2019

Test Case Prioritization (TCP) has gained wide spread acceptance as it often results in good quality software free from defects. Due to the increase in rate of faults in software traditional techniques for prioritization results in increased cost and time. Main challenge in TCP is difficulty in manually validate the priorities of different test cases due to large size of test suites and no more emphasis are made to make the TCP process automate. The objective of this paper is to detect the priorities of different test cases using an artificial neural network which helps to predict the correct priorities with the help of back propagation algorithm. In our proposed work one such method is implemented in which priorities are assigned to different test cases based on their frequency. After assigning the priorities ANN predicts whether correct priority is assigned to every test case or not otherwise it generates the interrupt when wrong priority is assigned. In order to classify the different priority test cases classifiers are used. Proposed algorithm is very effective as it reduces the complexity with robust efficiency and makes the process automated to prioritize the test cases.
Improvement of Power Quality for Microgrid using Fuzzy Based UPQC Controller
Authors: Rasheed Abdul , Rao G. Keshava
Published: June 2019

Generally, the power systems are mainly effected by the continuous changes in operational requirement and increasing amount of distributed energy systems. This paper proposes a new concept of power-control strategies for a micro grid generation system for better transfer of power. The micro grids are obtained with the general renewable energy sources and this concept provides the maximum utilization of power at environmental free conditions with low losses; then the system efficiency is also improved. This paper proposes a single stage converter based micro grid to reduce the number of converters in an individual ac or dc grid. The proposed micro grid concept can work in both stand-alone mode and also in grid interfaced mode. The distortions that occur in power system due to changes in load or because of usage of non-linear loads, can be eliminated by using control strategies designed for shunt active hybrid filters such as series and shunt converters. A conventional Proportional Integral (PI) and Fuzzy Logic Controllers are used for power quality enhancement by reducing the distortions in the output power. The simulation results are compared among the two control strategies, that fuzzy logic controller and pi controller.
Refined Clustering of Software Components by Using K-Mean and Neural Network
Authors: Verma Indu , Kaur Amarjeet , Kaur Iqbaldeep
Published: June 2019

Data Mining is extraction of relevant information about data set. A data-warehouse is a location where information is stored. There are various services of data mining, clustering is one of them. Clustering is an effort to group similar data onto single cluster. In this paper we propose and implement k-mean and neural network for clustering same components in single cluster. Clustering reduces the search space by grouping similar test cases together according to the requirements and, hence minimizing the search time, for the retrieval of the test cases, resulting in reduced time complexity. In this research paper we proposed approach for re-usability of test cases by unsupervised approach and supervised approach. In unsupervised learning we proposed k-mean and in supervised learning neural network. We have designed the algorithm for requirement and test case document clustering according to its tf-idf vector space and the output is set of highly cohesive pattern groups.
Type2 Fuzzy Soft Computing Technique for Image Enhancement
Authors: Sesadri U. , Sankar B. Siva , Nagaraju C.
Published: June 2019

The mainpurpose of Image enhancement is to process an image so that outcome is more appropriate than original image for definite application. The fuzzy logic isone of the soft computing techniques to enhance the images by eliminating uncertainty.In this paper efficient type2 fuzzy logic technique is used to get betterquality image. This method consists of two steps. In the First step fisher criterion function is useful to generate type1 fuzzy membership value. In the second step based on type1 membership value fuzzy rules are derived to enhance the image. The type2 fuzzy method is compared with type1 fuzzy. The table values and graphs provethat the proposed method gives better results compared with fuzzy type1 method.
Optimal Placement of SVC Using Fuzzy and Firefly Algorithm
Authors: BABU P.SURESH , CHENNAIAH P.B. , SREEHARI M.
Published: June 2019

Voltage stability is major phenomena in any power system network for reliability and continuity operation. But the tight operation of power system due to overloading or fault on the system which is evitable and major threat to the power system. So it is necessary to maintain the voltages within the constraints at the overloading conditions also by placing of Static VAR Compensator (SVC) at optimal locations. New approaches are used to find the placement and size of the SVC at different locations. Fuzzy is used to find the location and the size of the SVC is fined by the Firefly algorithm. This paper considers different loading conditions of the power system network (125,150,175over loading conditions). From the results we can conclude that the power losses are reduced and the voltages can be maintained within the limits .IEEE 14 bus, IEEE 30 bus system is taken for the implementing the above techniques.
Type-2 Fuzzy Logic Control of a Doubly-Fed Induction Machine (DFIM)
Authors: Keltoum Loukal , Leila Benalia
Published: June 2019

The fuzzy controllers have demonstrated their effectiveness in the control of nonlinear systems, and in many cases have established their robust and that their performance is less sensitive to parameter variations over conventional controllers. In this paper, Interval Type-2 Fuzzy Logic Controller (IT2FLC) method is proposed for controlling the speed with a direct stator flux orientation control of doubly-fed induction motor (DFIM), we made a comparison between the Type-1 Fuzzy Logic Control (T1FLC) and IT2FLC of the DFIM, first a modeling of DFIM is expressed in a (d-q) synchronous rotating frame. After the development and the synthesis of a stabilizing control laws design based on IT2FLC. We use this last approach to the control of the DFIM under different operating conditions such as load torque and in the presence of parameter variation. The obtained simulation results show the feasibility and the effectiveness of the suggested method.
Grading of Soybean Leaf Disease Based on Segmented Image Using K-means Clustering
Authors: Jadhav Sachin Balkrishna , Patil Sanjay B.
Published: June 2019

Traditional method used for disease scoring scale to grade the plant diseases is mainly based on neckaed eye observation by agriculture expert or plant pathlogiest. In this method percentage scale was exclusively used to define different disease severities in an illustrated series of disease assessment keys for field crops.The assessment of plant leaf diseases using this aaproach which may be subjective, time consuming and cost effective.Also aacurate grading of leaf diseases is essential to the determination of pest control measures. In order to improve this process, here we propose a technique for automatically quantifying the damaged leaf area using k means clustering, which uses square Euclidian distances method for partition of leaf image.For grading of soybean leaf disese which appear on leaves based on segmented diseased region are done automatically by estiamting thae ratio of the unit pixel expressed under diseased region area and unit pixel expressed under Leaf region area.For experiment purpose samples of Bacterial Leaf Blight Septoria Brown spot, Bean Pod Mottle Virus infected soybean leaf images were taken for analysis.Finally estiamated diseased severity and its grading is compared with  manual scoring based on conventional illustrated key diagram was conducted. Comparative assessment results showed a good agreement between the numbers of percentage scale grading obtained by manual scoring and by image analysis The result shows that the proposed method is precise and reliable than visual evaluation performed by patahlogiest.
Preventing Online Social Deception using Deception Matrix
Authors: Alka Alka , Kaur Harjot
Published: June 2019

The organization collaboration is very important for the success of the organization. The persons who enter into the organization will interact with the other members of the organization. There exist leaders of the community who will be responsible for the management of the communication among the persons within the organization. Sometimes the information presented by the new person joining the community is not correct. That information will cause the deception over the network. In the purposed paper deception within the social media is going to be analyzed. Deception will cause legion of problems and sometimes death of the person who is deceived. The proposed paper suggests the mechanism for tackling such deceptions.
Automatic Exudates Detection in Diabetic Retinopathy Images
Authors: Faouzi H. , Fakir Mohamed
Published: June 2019

Diabetic Retinopathy (DR) refers to the presence of typical retinal micro vascular lesions in persons with diabetics. When the disease is at the early state, a prompt diagnosis may help in preventing irreversible damages to the diabetic eye. If the exudates are closer to macula, then the situation is critical. Early detection can potentially reduce the risk of blind.  This paper proposes tool for the early detection of Diabetic Retinopathy using edge detection, algorithm kmeans in segmentation phase, invariant moments (Hu and Affine) and descriptor GIST in extraction phase. In the recognition phase, neural network is adopted. All tests are applied on database DIARETDB1.
An SVD based Real Coded Genetic Algorithm for Graph Clustering
Authors: Roy Parthajit , Mandal Jyotsna Kumar
Published: June 2019

This paper proposes a novel graph clustering model based on genetic algorithm using a random point bipartite graph. The model uses random points distributed uniformly in the data space and the measurement of distance from these points to the test points have been considered as proximity. Random points and test points create an adjacency matrix. To create a similarity matrix, correlation coefficients are computed from the given bipartite graph. The eigenvectors of the singular value decomposition of the weighted similarity matrix are considered and the same are passed to an elitist GA model for identifying the cluster centers. The model has been tasted with the standard datasets and the performance has been compared with existing standard algorithms.
The Cheapest Shop Seeker : A New Algorithm For Optimization Problem in a Continous Space
Authors: Shola Peter Bamidele
Published: June 2019

In this paper a population-based meta-heuristic algorithm for optimization problems in a continous space is presented.The algorithm,here called cheapest shop seeker is modeled after a group of shoppers seeking to identify the cheapest shop (among many available) for shopping. The  algorithm was tested on many benchmark functions with the result  compared with those from some other methods. The algorithm appears to  have a better  success  rate of hitting the global optimum point  of a function  and of the rate of convergence (in terms of the number of iterations required to reach the optimum  value) for some functions  in spite  of its simplicity.
Comparative between (LiNbO3) and (LiTaO3) in detecting acoustics microwaves using classification
Authors: Hichem Hafdaoui , Djamel Benatia
Published: June 2019

Our work is mainly about detecting acoustics microwaves in the type of BAW (Bulk acoustic waves), where we compared between Lithium Niobate (LiNbO3) and Lithium Tantalate (LiTaO3) ,during the propagation of acoustic microwaves in a piezoelectric substrate. In this paper, We have used the classification by Probabilistic Neural Network (PNN) as a means of numerical analysis in which we classify all the values of the real part and the imaginary part of the coefficient attenuation with the acoustic velocity for conclude whichever is the best in utilization for generating bulk acoustic waves.This study will be very interesting in modeling and realization of acoustic microwaves devices (ultrasound) based on the propagation of acoustic microwaves.
An Improved Hybrid Feature Selection Method for Huge Dimensional Datasets
Authors: Kamala Rosita , Thangaiah Ranjit Jeba
Published: June 2019

Variable Selection is the most essential function in predictive analytics, that reduces the dimensionality, without losing an appropriate information by selecting a few significant features of machine learning problems. The major techniques involved in this process are filter and wrapper methodologies. While filters measure the weight of features based on the attribute weighting criterion, the wrapper approach computes the competence of the variable selection algorithms. The wrapper approach is achieved by the selection of feature subgroups by pruning the feature space in its search space. The objective of this paper is to choose the most favourable attribute subset from the novel set of features, by using the combination method that unites the merits of filters and wrappers. To achieve this objective, an Improved Hybrid Feature Selection(IMFS) method is performed to create well-organized learners. The results of this study shows that the IMFS algorithm can build competent business applications, which have got a better precision than that of the constructed which is stated by the previous hybrid variable selection algorithms. Experimentation with UCI (University of California, Irvine) repository datasets affirms that this method have got better prediction performance, more robust to input noise and outliers, balances well with the available features, when performed comparison with the present algorithms in the literature review.
Renal Denervation in Isolated Systolic Hypertension Using Different Catheter Techniques and Technologies
Authors: Fengler Karl , Rommel Karl-Philipp , Lapusca Razvan , Blazek Stephan , Besler Christian , Hartung Philipp , von Roeder Maximilian , Kresoja Karl-Patrik , Desch Steffen , Thiele Holger , Lurz Philipp
Published: June 2019

Patients with isolated systolic hypertension (ISH) are thought to show a diminished blood pressure (BP)–lowering effect after renal sympathetic denervation (RDN). This conclusion is mostly derived from unipolar radiofrequency catheter ablation studies. Limited data for newer RDN technologies exist. We used data from the RADIOSOUND-HTN (Three-Arm Randomized Trial of Different Renal Denervation Devices and Techniques in Patients With Resistant Hypertension) comparing 3 different RDN approaches to investigate a possible interaction between ISH and RDN response. One hundred twenty patients were stratified by having ISH or combined systolic-diastolic hypertension (CH). Of these, 39 underwent radiofrequency ablation of the renal main arteries, 39 combined radiofrequency ablation of the main and branch arteries, and 42 were treated with ultrasound-based ablation of the main renal artery. Patients with ISH (n=61) were older and had lower systolic and diastolic BP on ambulatory measurement (ambulatory BP measurement) at baseline in comparison to CH (n=59). At 3 months, patients with ISH showed a less pronounced BP-lowering effect of RDN as compared to patients with CH (daytime average −5.9±11.8 versus −13.3±11.7 mm Hg,
P
=0.001). This difference was significant for radiofrequency ablation of the renal main arteries and ultrasound-based ablation of the main renal artery treatment but did not reach significance in the radiofrequency ablation of the main and branch arteries group. After adjustment for baseline BP values and age, there was no significant difference in BP reduction between ISH and CH. Using unadjusted BP values, RDN seems to be more effective in CH than in ISH. However, adjusting for baseline BP values revealed similar BP reduction in ISH and CH patients, irrespective of the RDN treatment used. The value of ISH as predictor for successful RDN might have been overestimated in the past.

Clinical Trial Registration—

URL:
http://www.clinicaltrials.gov
. Unique identifier: NCT02920034.
Incident Cerebral Microbleeds After Intracerebral Hemorrhage
Authors: Perry Luke A , Rodrigues Mark , Al-Shahi Salman Rustam , Samarasekera Neshika
Published: June 2019

Background and Purpose—

The frequency and prognostic implications of incident cerebral microbleeds (CMB), defined as development of one or more new CMB, after intracerebral hemorrhage (ICH) is unclear. Therefore, we performed a systematic review and meta-analysis to investigate the frequency and prognostic implications of incident CMB after ICH.

Methods—

We searched Ovid Medline and Embase in May 2018 for longitudinal studies of adults who underwent brain magnetic resonance imaging at 2 or more times after ICH. We calculated the pooled proportion of adults with incident CMB and sought associations between incident CMB and clinical outcomes (death, recurrent ICH, or new ischemic stroke). We planned subgroup analyses to investigate clinical variables associated with incident CMB.

Results—

We identified 2354 publications, of which we included 4 cohort studies involving 349 patients. The pooled proportion of adults with at least one new CMB during a mean 27 months follow-up (SD 20 months) was ≈40% (95% CI, 30%–50%). In one study, as the number of incident CMB increased (0 versus 1–3 new CMB versus ≥4 new CMB) the risk of recurrent symptomatic lobar ICH increased (hazard ratio 3.0; 95% CI, 1.2–7.3). No study reported on outcomes of incident ischemic stroke or death.

Conclusions—

Incident CMB occurs in ≈40% of adults after ICH. The association of incident CMB with recurrent lobar ICH needs confirmation and their association with death and ischemic stroke investigation.
A revision of Amarochara of the Holarctic region. III. A new species, a new synonym, and additional records (Coleoptera, Staphylinidae: Aleocharinae)
Authors: ASSING VOLKER
Published: June 2019

Amarochara formicina sp. n. (Canada: New Brunswick), the 26th representative of the genus in the Holarctic region, is described and illustrated. The following synonymy and new combination are proposed: Amarochara freyi (Bernhauer, 1940), comb. n. (ex Ocyusa) = Amarochara splendens Jarrige, 1952, syn. n. Additional records are reported for several species of the Palaearctic and Nearctic regions. The previously unknown aedeagus of A. inquilina (Casey, 1906) is illustrated.
Biodiversity, biogeography, and bibliography of the cicadas of Thailand (Hemiptera: Cicadoidea: Cicadidae)
Authors: SANBORN ALLEN F. , PHILLIPS POLLY K. , SITES ROBERT W.
Published: June 2019

A total of 148 species in 35 genera of cicadas is reported for Thailand. Of these, 11 species and one genus (Muda) are reported for the first time from the country. Fifteen undescribed species were discovered (to be described at a later date), in our collections and among museum holdings, thereby adding to the diversity of the known cicada fauna of Thailand. Ten other species are removed from the Thai cicada fauna. Major areas of diversity are the northwestern region of the country and peninsular Thailand.
A new species of Nudobius from China (Coleoptera, Staphylinidae: Staphylininae, Xantholinini)
Authors: ASSING VOLKER
Published: June 2019

The genus Nudobius Thomson, 1860 currently includes 47 valid species from the Neotropical (2 species), the Nearctic (5 species), the Palaearctic sensu Löbl and Smetana (2004) (15 species), and the Ethiopian regions (25 species) (Herman 2001; Bordoni 2002, 2003a, 2005; Smetana 2004). However, the species from the Ethiopian region have not been revised in recent times and their generic affiliations may be uncertain (Bordoni 2002).
Annotated catalogue of the Pompilidae (Hymenoptera) of Australia
Authors: ELLIOTT MICHAEL G.
Published: June 2019

This work represents the first catalogue of the Australian pompilid fauna since the Australian catalogue of Hymenoptera by Froggatt (1892) and the world catalogue of Pompilidae by Dalla Torre (1897). The catalogue follows the subfamily arrangement suggested by Pitts et al. (2006) and lists four subfamilies, 45 genera and 256 species. Three species and two genera which have exclusively extralimital distributions are included only because of their occurrence in the Australian literature.At the generic level the catalogue lists the original description of the valid generic name and any synonyms, plus literature that refers to Australian material or literature that may be of interest to Australian workers. At the specific and subspecific level the catalogue lists the original description plus any subsequent literature dealing with that taxon. Two new combinations are recorded, though both require further confirmation. One species remains unplaced to subfamily.
The true female of Heteropoda squamacea Wang, 1990 (Araneae: Sparassidae)
Authors: LIU JIE , LI SHUQIANG , JÄGER PETER
Published: June 2019

Besides the genus Olios Walckenaer, 1837, Heteropoda Latreille, 1804 is the most diverse genus in the spider family Sparassidae. Currently, a total of 192 Heteropoda species are known, among them 13 from China (Platnick 2008). In the current paper, the female of Heteropoda squamacea Wang, 1990 is described for the first time. The previously proposed female of H. squamacea appeared to be a misidentification of H. venatoria (Linnaeus, 1767) (Jäger & Yin 2001). Another female paratype of H. squamacea falls into the variation scheme of H. tetrica Thorell, 1897 (Eusemann & Jäger, in press) and most likely belongs to this species. Due to congruence of palpal structure, especially the bifurcated tip of the conductor, H. bifurcuta Wang, Chen & Zhu, 2002 (not: H. bifurcula; contra Platnick 2008) is considered as a junior synonym of H. squamacea.
Two new Acronicta Ochsenheimer, 1816 from China and Russia (Lepidoptera, Noctuidae, Acronictinae)
Authors: KONONENKO VLADIMIR , HAN HUI-LIN
Published: June 2019

Based on museum and private collections, two new species of the subfamily Acronictinae are described from China and Russia, Transbaikalia and Primorye Territory: Acronicta (Triaena) psichinensis sp. n. and Acronicta (Viminia) dahurica sp. n. The adults and male and female genitalia of the new species are illustrated and compared to related species. Distribution maps for the new species are presented.
Description of early ontogeny and osteological development of streaked mojarra Eugerres lineatus (Teleostei: Percoidei: Gerreidae)
Authors: ORTÍZ-GALINDO JOSÉ LUIS , CASTRO-AGUIRRE JOSÉ LUIS , BALART EDUARDO F. , ÁLVAREZ-PLIEGO NICOLÁS
Published: June 2019

Embryos, larvae, and juveniles of the streaked mojarra Eugerres lineatus are described and illustrated from a series of laboratory specimens. The description was based on morphometry, pigmentation pattern, squamation sequence, and osteological development. The eggs were obtained by stripping ripe adults captured in Bahía de La Paz, Baja California Sur, México. Eggs (cleavage egg and embryo phases) had a mean diameter of 0.69 mm with an oil globule of 0.19 mm mean diameter. Eleutheroembryos were 1.05 mm mean notochordal length (NL) at hatching. The yolk sac was absorbed by 2.10 mm mean NL, underwent notochord flexion at 3.16 mm NL-3.86 mm standard length (SL), and transformed to juveniles at 10.0 mm SL. Juveniles were completely scaled by 14.0 mm SL. Osteological development of the neurocranium, jaws and suspensorium, opercular series, hyoid and branchial arches, vertebral column and ribs, and the paired and unpaired fins and the supports were studied. The identification of the earliest stages of development of E. lineatus compared to the other gerreids and allied taxonomic groups present along the northwestern Mexican coast is possible only in the juvenile period (24.1 mm SL), based on anal fin ray count (II, 9-III, 8), the presence of papilliform teeth, and the number of gillrakers on the lower first pharyngeal arch (15–20).
The problems of subsequent typification in genus-group names and use of the Zoological Record: a study of selected post-1930 Diptera genus-group names without type species designations
Authors: EVENHUIS NEAL L. , PAPE THOMAS , PONT ADRIAN C.
Published: June 2019

We list 117 genus-group names of Diptera that were proposed after 1930 with diagnoses and more than one included species but without type species designations and review their current status. Research into the earliest proposals making the names available resulted in one new synonymy: Breviculala Ito, 1949 = Pseudacidia Munro, 1935, n. syn. (Tephritidae), the discovery of a number of earlier designations, and the recognition of available genus-group names previously thought to be nomina nuda. Discussion is made concerning type designations in the Zoological Record and type fixations by monotypy for genus-group names proposed after 1930 without a type species designation.
Three new species of the Old World Oedemeridae (Coleoptera)
Authors: ŠVIHLA VLADIMÍR
Published: June 2019

New species of the family Oedemeridae are described and illustrated: Ditylus catenulatus sp. nov. (China: Sichuan), Chrysanthia kantneri sp. nov. (India: Maharasthra) and Colobostomus kenyaensis sp. nov. (Kenya). The male of Indasclera akiyamai Švihla, 1997 is described and illustrated and this species is newly recorded from Laos.
Tagalis inornata cubensis McAtee & Malloch (Hemiptera: Heteroptera: Reduviidae: Saicinae): First record from the continental United States
Authors: BLINN ROBERT L.
Published: June 2019

The New World genus Tagalis Stål is widely distributed in the tropics, being known from only three species: T. seminigra Champion from British Guiana, Panama, Peru, and Venezuela; T. inornata Stål from Brazil, Costa Rica, Cuba, Guatamala, Granada, Mexico, Panama, and Peru; and T. femorata Melo from Peru. McAtee & Malloch (1923) provided a key to the species known at the time separating T. inornata Stål into two subspecies, the nominate subspecies and T. inornata cubensis, from Cuba. Maldonado (1986) recorded T. inornata cubensis from Puerto Rico. More recently Melo (2008) described T. femorata and provided a key to the three species.
The Long- and Short-Lived North Atlantic Oscillation Events in a Simplified Atmospheric Model
Authors: Song Jie
Published: June 2019

This study investigates the North Atlantic Oscillation (NAO) events with relatively long and short lifetimes based on an 8000-day perpetual-boreal-winter [December–February (DJF)] run result of the idealized Geophysical Fluid Dynamics Laboratory (GFDL) dynamical core atmospheric model. We identify the so-called long- and short-lived positive and negative NAO events from the 8000-day model output. The composite 300-hPa geopotential height anomalies show that the spatial patterns of the composite long-lived NAO events closely resemble the Northern Hemisphere annular mode (NAM) because the NAO dipole is accompanied with a statistically significant North Pacific meridional dipole (NPMD) at similar latitudes as that of the NAO dipole. The composite short-lived NAO events exhibit the locally confined canonical NAO. Twelve sets of modified initial-value experiments indicate that an absence (a presence) of the NPMD-type perturbations at the early stage of the long (short)-lived NAO events will decrease (increase) their intensities and naturally shorten (lengthen) their lifetimes. Thus, the preceding NPMD is an early factor that is conducive to the emergence of the long-lived NAO events in the model. We argue that through directly modulating the synoptic eddy forcing over the North Atlantic region, the preceding NPMD can gradually arouse the NAO-like circulation anomalies on the following days. That is the reason why the preceding NPMD can modulate the intensities and lifetimes of the NAO events.