bluuebunny/crossref_metadata_2025 huggingface dataset:
A de novo germline mutation of DLX3 in a Brown Swiss calf with tricho‐dento‐osseus‐like syndrome
Authors: Hofstetter Sonja , Welle Monika , Gorgas Daniela , Balmer Pierre , Roosje Petra , Mock Thomas , Meylan Mireille , Jagannathan Vidhya , Drögemüller Cord
Published: July 2017

Objective

A novel congenital disorder affecting a calf was observed, and its phenotype and genetic mutation identified.

Animal

A six‐month‐old female Brown Swiss calf.

Methods

Diagnostic investigation and whole genome sequencing of a case parent trio was performed.

Results

The calf had a dull kinky coat with mild hypotrichosis, and teeth with brown staining and enamel defects. Histological examination of skin biopsies was compatible with a follicular dysplasia. Radiography and computed tomography revealed thickening of the skull bones and large pulp cavities with a marked thinning of enamel affecting all teeth. A de novo germline mutation affecting the distal‐less homeobox gene (DLX3) was identified. The 10 bp frameshift mutation in exon 3 of the bovine DLX3 gene is predicted to replace the second C‐terminal transactivation domain of the wild‐type protein by a recoded peptide of 99 amino acids without any sequence similarity.

Conclusion and clinical importance

A causative mutation for a sporadic phenotype resembling human tricho‐dento‐osseous syndrome was identified after detection of a de novo germline mutation in the DLX3 gene.
Serological evidence of hepatitis E virus infection in pigs and jaundice among pig handlers in Bangladesh
Authors: Haider N. , Khan M. S. U. , Hossain M. B. , Sazzad H. M. S. , Rahman M. Z. , Ahmed F. , Zeidner N. S.
Published: July 2017

Hepatitis E virus (HEV) is the most common cause of viral hepatitis in humans. Pigs may act as a reservoir of HEV, and pig handlers were frequently identified with a higher prevalence of antibodies to HEV. The objectives of this study were to identify evidence of HEV infection in pigs and compare the history of jaundice between pig handlers and people not exposed to pigs and pork. Blood and faecal samples were collected from 100 pigs derived from three slaughterhouses in the Gazipur district of Bangladesh from January to June, 2011. We also interviewed 200 pig handlers and 250 non‐exposed people who did not eat pork or handled pigs in the past 2 years. We tested the pig sera for HEV‐specific antibodies using a competitive ELISA and pig faecal samples for HEV RNA using real‐time RT‐PCR. Of 100 pig sera, 82% (n = 82) had detectable antibody against HEV. Of the 200 pig handlers, 28% (56/200) demonstrated jaundice within the past 2 years, whereas only 17% (43/250) of controls had a history of jaundice (p < .05). Compared to non‐exposed people, those who slaughtered pigs (31% versus 15%, p < .001), reared pigs (37% versus 20%, p < .001), butchered pigs (35% versus 19%, p < .001) or involved in pork transportation (28% versus 13%, p < .001) were more likely to be affected with jaundice in the preceding 2 years. In multivariate logistic regression analysis, exposure to pigs (odds ratio [OR]: 2.2, 95% CI: 1.2–3.9) and age (OR: 0.97, 95% CI: 0.95–0.99) was significantly associated with jaundice in the past 2 years. Pigs in Bangladesh demonstrated evidence of HEV infection, and a history of jaundice was significantly more frequent in pig handlers. Identifying and genotyping HEV in pigs and pig handlers may provide further evidence of the pig's role in zoonotic HEV transmission in Bangladesh.
The Influence of Pintrich’s Self-regulated Learning Model on Elementary Teacher Candidates in a Life Science Course
Authors: Çetin Barış
Published: July 2017

The purpose of this research was to determine whether the use of activities based on Pintrich's self-regulated learning model effect the self-regulated learning perceptions of elementary teacher candidates within a Life Science course. The research was organized in accordance with the quasi-experimental designs model. This study was conducted within a classroom consisting of 5 male and 34 female (aged 20 to 25) elementary teacher candidates at Canakkale 18 Mart University, Education Faculty, and Department of Basic Education. Data was collected utilizing the "Self-regulated Learning Perception Scale" and the "Personal Information Form". As a result of the research, the use of Pintrich's self-regulated learning based activities has been found to improve the self-regulated learning perceptions of the elementary teacher candidates.
CO-Identity with Son Is Core Component in Father’s Development: Same-Gendered Father/Son Relationships foster Relational Development in Fathers
Authors: Watson-Phillips Carol
Published: July 2017

What is the crucible of a father’s relationally transformative growth in connection with his sons? In this article, the author first contextualizes relational theory, and then explores the idea that co-identity with a son provides the mortar and pestle for a father’s development in same-gendered relationships. In connection with his son, a father revisits and reconnects with his childhood self, re-engaging and rejuvenating his core-relational being. In the data for exploring fathers’ relational growth and development a subtheme emerged. This subtheme, an intrapsychic phenomenon I have coined Myson/Myself, is expanded in this article. This hypothesis is based on the data from a qualitative study of 23 fathers, who are reflective of the Greater Boston demographic.
Toward Knowledge Management for Smart Manufacturing
Authors: Feng Shaw C. , Bernstein William Z. , Hedberg Thomas , Barnard Feeney Allison
Published: July 2017

The need for capturing knowledge in the digital form in design, process planning, production, and inspection has increasingly become an issue in manufacturing industries as the variety and complexity of product lifecycle applications increase. Both knowledge and data need to be well managed for quality assurance, lifecycle impact assessment, and design improvement. Some technical barriers exist today that inhibit industry from fully utilizing design, planning, processing, and inspection knowledge. The primary barrier is a lack of a well-accepted mechanism that enables users to integrate data and knowledge. This paper prescribes knowledge management to address a lack of mechanisms for integrating, sharing, and updating domain-specific knowledge in smart manufacturing (SM). Aspects of the knowledge constructs include conceptual design, detailed design, process planning, material property, production, and inspection. The main contribution of this paper is to provide a methodology on what knowledge manufacturing organizations access, update, and archive in the context of SM. The case study in this paper provides some example knowledge objects to enable SM.
Evaluating the Use of Artificial Neural Networks and Graph Complexity to Predict Automotive Assembly Quality Defects
Authors: Patel Apurva , Andrews Patrick , Summers Joshua D. , Harrison Erin , Schulte Joerg , Laine Mears M.
Published: July 2017

This paper presents the use of subassembly models instead of the entire assembly model to predict assembly quality defects at an automotive original equipment manufacturer (OEM). Specifically, artificial neural networks (ANNs) were used to predict assembly time and market value from assembly models. These models were converted into bipartite graphs from which 29 graph complexity metrics were extracted to train 18,900 ANN prediction models. The size of the training set, order of the bipartite graph, selection of training set, and defect type were experimentally studied. With a training size of 28 parts, an interpolation focused training set selection with a second-order graph seeding ensured that 70% of all predictions were within 100% of the target value. The study shows that with an increase in training size and careful selection of training sets, assembly defects can be predicted reliably from subassemblies' complexity data.
Zamak 2 Alloy Produced by Mechanical Alloying and Consolidated by Sintering and Hot Pressing
Authors: Costa da Silva Flávia , Kazmierczak Kamila , Edil da Costa César , Milan Júlio César Giubilei , Torralba José Manuel
Published: July 2017

The Zamak 2 alloy has the best mechanical properties of the Zamak alloys with respect to the tensile strength, creep resistance, and hardness. Zamak 2 is a commercial material widely used for the manufacturing of mechanical components. The presence of Cu in this alloy (3 wt. %) improves the mechanical properties through the formation of E (CuZn4) precipitates. The powder metallurgy (P/M) has an important direct advantage in the fabricated parts with respect to the finished dimensions or near net shaping due to the additional phase stabilization without heat treatment. However, there are few studies into the production of this zinc alloy via mechanical alloying and the effect of the consolidation technique in terms of the material properties; these research deficiencies led to the development of this work. The powder was analyzed during milling until achieving a steady-state, which occurred after 30 h of milling in a planetary ball mill at 400 rpm. The high-energy milling produces a Zamak 2 alloy powder with a T′ stable phase and with a greater melting point. When consolidated using hot pressing, the hardness increases compared to sintering and casting alloy.
Feasibility Assessment of Microwave Ablation for Treating Esophageal Varices
Authors: Sebek Jan , Curto Sergio , Eaton-Evans Jimmy , Bouchier-Hayes Jonathan , Ruvio Giuseppe , Ganta Chanran , Beard Warren , Buttar Navtej , Song Louis Wong Kee , Prakash Punit
Published: July 2017

Esophageal varices are a significant complication of portal hypertension. Endoscopic variceal ligation (EVL) is one of the clinical standards for treating these varices and preventing their hemorrhage. Limitations of EVL include the risk of stricture formation and postband ulcer bleeding due to the damage caused to the esophageal mucosa, as well as the need for multiple endoscopic treatment sessions to eradicate the varices. The goal of this study is to develop a device and evaluate the technical feasibility of microwave ablation to seal esophageal varices, while preventing thermal damage to the surface mucosal tissue. A microwave applicator with a directional radiation pattern was developed for endoscopic ablation of esophageal varices. Electromagnetic and bioheat transfer computational models were employed to optimize the design of the microwave applicator and evaluate energy delivery strategies for this application. Experiments in ex vivo and in vivo tissue were employed to verify simulation results. Simulations predicted enhanced heating performance of the antenna using an angled monopole radiating element. Further, simulations indicate that while the endoscopic cap attenuated electric fields in tissue, it also enhanced surface cooling of tissue, increasing the likelihood of preserving mucosal tissue. Experiments in ex vivo tissue indicated the feasibility of sealing veins with 77 W microwave power delivered for 30 s. In vivo experiments demonstrated the ability to seal veins, while preserving surface tissue. This study demonstrated the technical feasibility of microwave thermal ablation for treating esophageal varices using a 2.45 GHz water-cooled directional microwave applicator.
Agreement on what to measure in randomised controlled trials in burn care: study protocol for the development of a core outcome set
Authors: Young Amber , Brookes Sara , Rumsey Nichola , Blazeby Jane
Published: July 2017

Introduction

In 2004, nearly 11 million severely burn-injured patients required medical care worldwide. Burns cause prolonged hospitalisation and long-term disability. Although mortality has been reduced, morbidity remains significant.Burn care is costly and decision-making is challenging. A range of procedures are performed at different times after injury; new technology is emerging and alternate care pathways are regularly introduced. Data to guide evidence-based decision-making are lacking. Researchers use different outcomes to assess recovery, so it is not possible to combine trial information to draw meaningful conclusions. Early recovery measures include length of hospital stay, healing time and treatment complications. Longer-term outcomes include issues with function, cosmesis and psychological health. Reporting an agreed set of the most important outcomes (core outcome set (COS)) in randomised controlled trials (RCTs) will allow effective evidence synthesis to support clinical decisions. Patient input will ensure relevance.

Methods and analysis

The aim is to produce a burn COS for RCT reporting. A long list of outcomes will be identified through systematic reviews of clinical and patient-reported outcomes. Additional outcomes will be identified from interviews with patients over 10 years, parents of children of any age and multidisciplinary professionals. A two-stage modified Delphi exercise will be undertaken to prioritise and condense the list, with patients (n=150) at different stages of recovery. We will also include nursing, therapy (n=100) and medical staff (n=100). A reduced list will be taken to consensus meetings with families and clinical staff to achieve a final COS.

Ethics and dissemination

A COS will reduce outcome reporting heterogeneity in burn care research, allowing more effective use of research funding and facilitating evidence synthesis and evidence-based clinical decision-making. Stakeholders will include journal editors, health commissioners, researchers, patients and professionals. The study has ethical approval and is registered with Core Outcome Measures in Effectiveness Trials Initiative (http://www.comet-initiative.org/studies/details/798?result=true).
Using Local Edge Pattern Descriptors for Edge Detection
Authors: Wang Yu , Zhang Na , Yan Huaixin , Zuo Min , Liu Cuiling
Published: July 2017

Edge detection is an active and critical topic in the field of image processing, and plays a vital role for some important applications such as image segmentation, pattern classification, object tracking, etc. In this paper, an edge detection approach is proposed using local edge pattern descriptor which possesses multiscale and multiresolution property, and is named varied local edge pattern (VLEP) descriptor. This method contains the following steps: firstly, Gaussian filter is used to smooth the original image. Secondly, the edge strength values, which are used to calculate the edge gradient values and can be obtained by one or more groups of VLEPs. Then, weighted fusion idea is considered when multiple groups of VLEP descriptors are used. Finally, the appropriate threshold is set to perform binarization processing on the gradient version of the image. Experimental results show that the proposed edge detection method achieved better performance than other state-of-the-art edge detection methods.
The Adaptive Fractional Order Differential Model for Image Enhancement Based on Segmentation
Authors: Chen Suqin , Zhao Fengqun
Published: July 2017

For image enhancement method based on the fractional order differential, it is difficult to artificially give the optimal order of the fractional differential which can make the image enhancement effect better, and it is hard to ensure the enhancement of the target object while preserving the information of background pixels if the entire image is filtered by a fixed differential order. In order to solve this problem, the image is segmented into the object area and the background area according to the Otsu threshold algorithm based on Markov Random Field firstly. On the basis of the principle of the fractional differential for image enhancement, a piecewise function is established by combining with the different characteristics of pixels in each area, then the best order of fractional differential in the two areas can be determined adaptively. Thus, a novel adaptive fractional order differential algorithm for image enhancement on the basis of segmentation is put forward. Several fog-degraded traffic images are selected for experiments and processed by three other algorithms. The results of comparison exhibit the superiority of our algorithm.
Improved Sparse 3D Transform-Domain Collaborative Filter for Screen Content Image Denoising
Authors: Liu Zhi , Wang Shuai , Zhang Mengmeng
Published: July 2017

Screen content videos or images are widely used in applications such as screen sharing. Compressed screen content videos or images may have distortions or noises because of the quantization process. This paper proposes an improved sparse 3D transform-domain collaborative filter to enhance screen content image quality by block classification and block segmentation. Experimental results show that the proposed algorithm achieves a peak signal-to-noise ratio increase and subjective visual quality improvements for reconstructed screen content images.
Fast Image Search with Pixel-Based Deep Learning Framework via Efficient Compact Binary Code and Addictive Latent Layer
Authors: Li Jun Yi , Li Jian Hua
Published: July 2017

As we know, the nearest neighbor search is a good and effective method for good-sized image search. This paper mainly introduced how to learn an outstanding image feature representation form and a series of compact binary Hash coding functions under deep learning framework. Our concept is that binary codes can be obtained using a hidden layer to present some latent concepts dominating the class labels with usable data labels. Our method is effective in obtaining hash codes and image representations, so it is suitable for good-sized dataset. It is demonstrated in our experiment that the performances of the proposed algorithms were then verified on three different databases, MNIST, CIFAR-10 and Caltech-101. The experimental results reveal that two-proposed image Hash retrieval algorithm based on pixel-level automatic feature learning show higher search accuracy than the other algorithms; moreover, these two algorithms were proved to be more favorable in scalability and generality.
Liénard Equation and Its Generalizations
Authors: Giné Jaume
Published: July 2017

In this paper, we first present a survey of the known results on limit cycles and center conditions for Liénard differential systems. Next we propose a generalization of such systems and we study their center conditions and the number of small-amplitude limit cycles that can bifurcate from the origin. Computing the focal values and using Gröbner bases we find the center conditions for such systems up to a certain degree. We also establish a conjecture about the center conditions for such systems when they have arbitrary degree.
Design-Oriented Analysis of Slow-Scale Bifurcations in Single Phase DC–AC Inverters via Autonomous Transformation Approach
Authors: Zhang Hao , Ding Honghui , Yi Chuanzhi
Published: July 2017

This paper deals with the design-oriented analysis of slow-scale bifurcations in single phase DC–AC inverters. Since DC–AC inverter belongs to a class of nonautonomous piecewise systems with periodic equilibrium orbits, the original averaged model has to be translated into an equivalent autonomous one via a virtual rotating coordinate transformation in order to simplify the theoretical analysis. Based on the virtual equivalent model, eigenvalue sensitivity is used to estimate the effect of the important parameters on the system stability. Furthermore, theoretical analysis is performed to identify slow-scale bifurcation behaviors by judging in what way the eigenvalue loci of the Jacobian matrix move under the variation of some important parameters. In particular, the underlying mechanism of the slow-scale unstable phenomenon is uncovered and discussed thoroughly. In addition, some behavior boundaries are given in the parameter space, which are suitable for optimizing the circuit design. Finally, physical experiments are performed to verify the above theoretical results.
Observer-Pattern Modeling and Slow-Scale Bifurcation Analysis of Two-Stage Boost Inverters
Authors: Zhang Hao , Wan Xiaojin , Li Weijie , Ding Honghui , Yi Chuanzhi
Published: July 2017

This paper deals with modeling and bifurcation analysis of two-stage Boost inverters. Since the effect of the nonlinear interactions between source-stage converter and load-stage inverter causes the “hidden” second-harmonic current at the input of the downstream H-bridge inverter, an observer-pattern modeling method is proposed by removing time variance originating from both fundamental frequency and hidden second harmonics in the derived averaged equations. Based on the proposed observer-pattern model, the underlying mechanism of slow-scale instability behavior is uncovered with the help of eigenvalue analysis method. Then eigenvalue sensitivity analysis is used to select some key system parameters of two-stage Boost inverter, and some behavior boundaries are given to provide some design-oriented information for optimizing the circuit. Finally, these theoretical results are verified by numerical simulations and circuit experiment.
An Approach to Modeling and Analyzing Human-Centric Systems and Its Application
Authors: An Dongdong , Liu Jing
Published: July 2017

Human-centric design is based on the psychological and physical needs of the human users. Model-driven engineering provides formal model to be analyzed. How to combine formal model with human-centric design methodology is a crucial issue and yet it has not been settled. In fact, the difficulty of this problem is lacking of formal representations of the human-centric property. The intention of our research is to provide some new approaches to effectively model and analyze the human-centric system. So we proposed model-based methodologies for modeling and analyzing the human-centric system, which aim to use hierarchical model framework to effectively build systems. This paper mainly addresses two issues. The first one is the modeling of human-centric system by the hierarchical model framework. Then we selected the automatic train control braking system as the application to build hierarchical model based on five corresponding sub-models and provide the new braking modes and new braking strategies.
Theoretical research on the charge transport properties of imidazoles axial-coordinated with protoheme molecule
Authors: Li Laicai , Chen Xiao , Cai Wanfei , Zhang Ming , Liang Xiaoqin , Tian Anmin
Published: July 2017

The charge transport properties and the stability of imidazoles with axial-coordinated protoheme molecules have been investigated by the density functional theory (DFT) at B3LYP/6-31[Formula: see text]G(d) level. With energy of each compound, we find that all heme Fe[Formula: see text] and Fe[Formula: see text] complex compounds axially coordinate the imidazoles by strong field in low-spin state. Meanwhile, binding energies were calculated, the structure feature and the frontier orbital distribution of complex compounds were also analyzed. On the basis of Marcus theory, the reorganization energy, matrix element and charge transport rate constant were calculated. The results show that the charge transport rate of the complex compound coordinated imidazole is greater than that of the complex compound coordinated 2-methyl imidazole, which indicates that the charge transfer between the imidazole and the heme iron is more favorable to the heme iron than the 2-methyl imidazole. The results are in good agreement with the experimental ones obtained by Battistuzzi.
A Mathematical Foundation of Big Data
Authors: Sun Zhaohao , Wang Paul P.
Published: July 2017

The recent research evolution on big data has brought exciting aspiration to mathematicians, computer scientists and business professionals alike. However, the lack of a sound mathematical foundation presents itself as a real challenge amidst the swarm of big data marketing activities. This paper intends to propose a possible mathematical theory as a foundation for big data research. Specifically, we propose the concept of the adjective “big” as a mathematical operator, furthermore, the concept of so-called “big” logically and naturally fits the concept of being “linguistics variable” as per fuzzy logic research community for decades. The consequence of adopting such a mathematical modeling can be profoundly considered as an abstraction of the technologies, systems, tools for data management and processing that transforms data into big data. In addition, the concept of infinity of the big data is based on the theory of calculus and the set theory. Furthermore, the concept of relativity of the big data, as we find out, is based on the operations of the fuzzy subsets theory. The proposed approach in this paper, we hope, can facilitate and open up more opportunities for big data research and developments on big data analytics, business analytics, big data intelligence, big data computing as well as big data science.
The Structure Feature of Novel Cu2O/e-HTi2NbO7 Nanocomposite and Their Enhanced Photocatalytic Activity
Authors: Li Jie , Xu Lei , He Jie , Zhou Pan , Hu Lifang , Li Dewei , Wang Bin
Published: July 2017

The novel Cu2O/[Formula: see text]-HTi2NbO7 heterojunction nanocomposite was assembled through a facile exfoliation-restacking route. The as-prepared nanocomposite and its precursors, Cu2O and [Formula: see text]-HTi2NbO7, were characterized by means of X-ray diffraction (XRD), high resolution transmission electron microscopy (HRTEM), N2 adsorption–desorption measurements, laser Raman spectroscopy (LRS) and UV–Vis diffuse reflection spectroscopy (UV–Vis DRS). The photocatalytic performance was evaluated by photocatalytic oxidation of ethyl mercaptan (EM) and photocatalytic degradation of methylene blue (MB) dyes under sunlight irradiation. The results showed that Cu2O nanoparticles were successfully distributed on the surface of [Formula: see text]-HTi2NbO7 nanosheets, and the intensity of spectral absorption of the as-prepared nanocomposite in the visible-light region was significantly enhanced. The as-prepared nanocomposite displayed the enhanced photocatalytic activity than the Cu2O nanoparticles and HTi2NbO7 nanosheets due to the formation of a heterojunction structure between Cu2O nanoparticles and HTi2NbO7 nanosheet and a possible photocatalytic mechanism was suggested.
The linear 2-arboricity of sparse graphs
Authors: Li Yuanchao , Hu Xiaoxue
Published: July 2017

The linear [Formula: see text]-arboricity [Formula: see text] of a graph [Formula: see text] is the least integer [Formula: see text] such that [Formula: see text] can be partitioned into [Formula: see text] edge-disjoint forests, whose components are paths of length at most 2. In this paper, we study the linear [Formula: see text]-arboricity of sparse graphs, and prove the following results: (1) let [Formula: see text] be a 2-degenerate graph, we have [Formula: see text]; (2) if [Formula: see text], then [Formula: see text]; (3) if [Formula: see text], then [Formula: see text]; (4) if [Formula: see text], then [Formula: see text]; (5) if [Formula: see text], then [Formula: see text].
A Study on the Evaluation of the Annual Energy Consumption for a Geothermal Heat Pump System with Open Loop and Closed Loop Ground Heat Exchangers
Authors: Boahen Samuel , Lee Kwang Ho , Cho Soolyeon , Choi Jong Min
Published: July 2017

Heating and cooling systems contribute greatly to the energy consumption and CO2 emissions of many countries. Ground source heat pumps (GSHP) are promising energy saving systems for residential, commercial or industrial heating or cooling purposes. A method to estimate the energy consumption and CO2 emission of GSHPs is therefore very eminent. This paper reviews the methodology to calculate the energy consumption and CO2 emission of GSHPs. The discussed methodology is then used to compare the energy consumption and CO2 emission of an open-loop and closed-loop GSHP using data from field test. It is observed that the open-loop GSHP saves 28% energy and reduces CO2 by 28% than the closed-loop GSHP in the cooling season. When used for both cooling and heating purposes in the year, the open-loop GSHP saves about 6% energy and reduces about 6% of CO2 emission than the closed-loop GSHP.
Electron transport in doped fullerene molecular junctions
Authors: Kaur Milanpreet , Sawhney Ravinder Singh , Engles Derick
Published: July 2017

The effect of doping on the electron transport of molecular junctions is analyzed in this paper. The doped fullerene molecules are stringed to two semi-infinite gold electrodes and analyzed at equilibrium and nonequilibrium conditions of these device configurations. The contemplation is done using nonequilibrium Green’s function (NEGF)-density functional theory (DFT) to evaluate its density of states (DOS), transmission coefficient, molecular orbitals, electron density, charge transfer, current, and conductance. We conclude from the elucidated results that Au–C[Formula: see text]Li4–Au and Au–C[Formula: see text]Ne4–Au devices behave as an ordinary p–n junction diode and a Zener diode, respectively. Moreover, these doped fullerene molecules do not lose their metallic nature when sandwiched between the pair of gold electrodes.
Based on Soft Competition ART Neural Network Ensemble and Its Application to the Fault Diagnosis of Bearing
Authors: Yang Dan , Mu Hailin , Xu Zengbing , Wang Zhigang , Yi Cancan , Liu Changming
Published: July 2017

This paper presents a novel method for fault diagnosis based on an improved adaptive resonance theory (ART) neural network and ensemble technique. The method consists of three stages. Firstly, the improved ART neural network is comprised of the soft competition technique based on fuzzy competitive learning (FCL) and ART based on Yu’s norm, the neural nodes in the competition layer are trained according to the degree of membership between the mode node and the input, and then fault samples are classified in turn. Secondly, with the distance evaluation technique, the optimal features are obtained from the statistical characteristics of original signals and wavelet coefficients. Finally, the optimal features are input into the neural network ensemble (NNE) based on voting method to identify the different fault categories. The proposed method is applied to the fault diagnosis of rolling element bearings, and testing results show that the neural network ensemble can reliably classify different fault categories and the degree of faults, which has a better classification performance compared with the single neural network.
Forecasting the Short-Term Traffic Flow in the Intelligent Transportation System Based on an Inertia Nonhomogenous Discrete Gray Model
Authors: Duan Huiming , Xiao Xinping , Pei Lingling
Published: July 2017

The traffic-flow system has basic dynamic characteristics. This feature provides a theoretical basis for constructing a reasonable and effective model for the traffic-flow system. The research on short-term traffic-flow forecasting is of wide interest. Its results can be applied directly to advanced traffic information systems and traffic management, providing real-time and effective traffic information. According to the dynamic characteristics of traffic-flow data, this paper extends the mechanical properties, such as distance, acceleration, force combination, and decomposition, to the traffic-flow data vector. According to the mechanical properties of the data, this paper proposes four new models of structural parameters and component parameters, inertia nonhomogenous discrete gray models (referred to as INDGM), and analyzes the important properties of the model. This model examines the construction of the inertia nonhomogenous discrete gray model from the mechanical properties of the data, explaining the classic NDGM modeling mechanism in the meantime. Finally, this paper analyzes the traffic-flow data of Whitemud Drive in Canada and studies the relationship between the inertia model and the traffic-flow state according to the data analysis of the traffic-flow state. A simulation accuracy and prediction accuracy of up to 0.0248 and 0.0273, respectively, are obtained.
Repetitive Sinus-Related Symptoms May Accelerate the Progression of Chronic Maxillary Atelectasis
Authors: Kikuta Shu , Horikiri Kyohei , Kanaya Kaori , Kagoya Ryoji , Kondo Kenji , Yamasoba Tatsuya
Published: July 2017

Chronic maxillary atelectasis (CMA) is characterized by a progressive decrease in maxillary sinus volume. The factors that promote the stage progression of CMA remain poorly understood. Here, we describe the time course of anatomical changes in a 40-year-old woman with stage II CMA that progressed to stage III disease. She did not show stage progression until she started to develop repetitive sinus-related symptoms. The stage progression was characterized by ocular symptoms. The repetitive inflammatory episodes may have increased the negative pressure in the affected sinus and weakened the bone walls, thereby promoting stage progression. Thus, a history of repetitive sinus-related symptoms may be a risk factor for stage progression in CMA.
Effects of Pectus Excavatum on the Spine of Pectus Excavatum Patients with Scoliosis
Authors: Zhong WeiHong , Ye JinDuo , Feng JingJing , Geng LiYang , Lu GuangPu , Liu JiFu , Zhang ChunQiu
Published: July 2017

Background. There is high risk in the correction surgery of pectus excavatum with scoliosis because of the lack of the correction mechanism of pectus excavatum with scoliosis. This study performed a comprehensive analysis about the impact that pectus excavatum had on scoliosis and elaborated its biomechanical mechanism in pectus excavatum patients with scoliosis. Methods. 37 pectus excavatum patients were selected. According to age, Haller index of pectus excavatum, offset coefficient, vertical position, sternal torsion angle, and asymmetric index, 37 patients were, respectively, divided into 2 compared groups. The result was statistically calculated. Results. The scoliosis incidence and severity did not correlate with Haller index, offset coefficient, vertical position, sternal torsion angle, and asymmetric index of pectus excavatum, and there was no statistical significance between the two compared groups. Conclusions. The incidence and severity of scoliosis in PE patients with scoliosis have nothing to do with the geometric parameters of pectus excavatum but correlate with age. The scoliosis will aggravate with the increase of age. The heart may provide an asymmetric horizontal force to push the spines to the right. The mechanism of how the biomechanical factors exert influences on spines needs to be further investigated to keep the spine stable.
Traditional Chinese Medicine ShenZhuGuanXin Granules Mitigate Cardiac Dysfunction and Promote Myocardium Angiogenesis in Myocardial Infarction Rats by Upregulating PECAM‐1/CD31 and VEGF Expression
Authors: Xu Dan-Ping , Zou De-Zhi , Qiu Hui-Liang , Wu Huan-Lin
Published: July 2017

Background. Myocardial infarction (MI) is the main cause of global mortality and morbidity despite the development of therapeutic approaches. ShenZhuGuanXin granules (SG) have been shown to possess cardioprotective effects against coronary heart disease (CHD). However, little is known about its specific mechanism. The present study aimed to investigate the therapeutic effect of SG in cardiac dysfunction and to demonstrate whether SG can promote myocardium angiogenesis by establishing a rat model of myocardial infarction with left anterior descending ligating. Methods and Results. Three days after MI, rats were randomly divided into six groups: sham group (sham), MI group (MI), MI + low dose SG (SG‐L) group, MI + middle dose SG (SG‐M) group, MI + high dose SG (SG‐H) group, and MI + compound Danshen dropping pills (CDDP) group as a positive control. Four weeks after administration, rats underwent hemodynamics and echocardiography study. Ventricle tissues were processed for histology and immunohistochemistry studies. Compared with MI group, SG treatment dose‐dependently improved cardiac hemodynamic function, attenuated infarct size, increased microvessel density, and increased the expression of PECAM‐1/CD31 and VEGF. Conclusions. SG dose‐dependently improved cardiac hemodynamic function and attenuated infarct size by promoting angiogenesis through upregulating PECAM‐1/CD31 and VEGF expression.
An Atypical Presentation of Chronic Atrophic Gastritis: Hemolytic Anemia and Mesenteric Panniculitis
Authors: Azmaiparashvili Zurab , Jorge Vinicius M. , Antunes Catiele
Published: July 2017

Microangiopathic hemolytic anemia (MAHA) requires an aggressive approach since primary thrombotic microangiopathy syndromes such as thrombotic thrombocytopenic purpura (TTP) can progress rapidly to a fatal outcome. Differential diagnosis can be challenging even for an experienced hematologist. We present a case of a 52-year-old male who presented with symptoms of mesenteric panniculitis and showed signs of MAHA. His condition was attributed to severe vitamin B12 deficiency secondary to chronic atrophic gastritis and initiation of appropriate therapy was met with complete resolution of symptoms and normalization of hematologic parameters.
Pesticides Usage in the Soil Quality Degradation Potential in Wanasari Subdistrict, Brebes, Indonesia
Authors: Joko Tri , Anggoro Sutrisno , Sunoko Henna Rya , Rachmawati Savitri
Published: July 2017

Uncontrolled application of pesticides can contaminate soil and may kill other nontarget organisms. This study aims to determine the usage pattern of pesticides by farmers in Wanasari Subdistrict and study the soil quality degradation potential. This study was a quantitative and qualitative research. Sources of data were collected from observation, questionnaire, and in-depth interview methods. The respondents were shallot farmers who planted shallot during 2013–2016 (n=60). In-depth interview was done with three respondents from the local agricultural extension center (BPP). This study found that there were some different types of insecticides and fungicides that were used in every planting season. The farmers applied pesticides in large amount once every three or four days. They mixed minimally three insecticides and fungicides types about 30–40 ml for each type. Organophosphate residues that were found in soil samples were methidathion residue about 0.014 mg/kg, malathion residue ranging around 0.1370–0.3630 mg/kg, and chlorpyrifos residue in the range of 0.0110–0.0630 mg/kg. The excessive application of pesticides showed the land degradation potential. Soil quality laboratory testing is recommended to ensure the agricultural land condition. Routine assessment of soil quality and pesticide usage control is recommended to keep sustainable ecosystem.
The Role of Rumination and Stressful Life Events in the Relationship between the Qi Stagnation Constitution and Depression in Women: A Moderated Mediation Model
Authors: Liu Mingfan , Jiang Ying , Wang Xiumei , Liu Qiaosheng , Wu Hou
Published: July 2017

The qi stagnation constitution is associated with depression in traditional Chinese medicine. It is unclear how rumination and stressful life events affect the relationship between the qi stagnation constitution and depression. The Qi Stagnation Constitution Scale, Ruminative Response Scale, Center for Epidemiologic Studies Depression Scale, and Adolescent Self‐Rating Life Events Checklist were used to assess this association in 1200 female college students. The results revealed that the qi stagnation constitution was positively associated with depression. Furthermore, rumination was a partial mediator of the relationship between the qi stagnation constitution and depression. In addition, stressful life events moderated the direct effect and mediating effect of the qi stagnation constitution on depression. These findings indicate that rumination and stressful life events may affect the relationship between the qi stagnation constitution and depression in women.
Multiple Acrometastases in a Patient with Renal Pelvic Urothelial Cancer
Authors: Sawada Ryoko , Shinoda Yusuke , Niimi Aya , Nakagawa Tohru , Ikegami Masachika , Kobayashi Hiroshi , Tanaka Sakae , Homma Yukio , Haga Nobuhiko
Published: July 2017

Metastasis may occur in any bone but more commonly occurs in the spine, pelvis, or other axial bones. Metastasis in peripheral bones located distal to the elbow or knee, so-called acrometastasis, is rare. Although the mechanism of acrometastasis development is not completely understood, it is thought to be the result of a massive dissemination of cancer cells; thus the prognosis of patients with acrometastasis is relatively poor. Here, we report the case of renal pelvic cancer with multiple acrometastases in both the upper and lower extremities without axial bone metastasis in a 68-year-old man. After two regimens of chemotherapy, he suffered from pain on his wrist and ankle and swelling and hemorrhage of his toe. He had no axial bone metastasis by CT but was diagnosed with multiple acrometastases by plain radiographs. Radiation therapy and disarticulation of the left big toe at the metacarpal-phalangeal joint were performed and his pain and hemorrhage were successfully controlled. Although acrometastasis from renal pelvic cancer is very rare, we should recognize that acrometastasis might occur which exists outside of the CT scanning field.
A Case of Atopic Myelitis with Cervical Cavernous Angioma
Authors: Fukuda Miyuki , Manabe Hiroaki , Sasaki Nobuhiro , Kuroda Masayuki , Hoshimaru Minoru , Ueda Shigeo
Published: July 2017

Atopic myelitis, a type of myelitis which appears in patients with elevated serum levels of immunoglobulin E (IgE), occurs more commonly in the cervical spinal cord, but this mechanism has not yet been elucidated. Herein, we experienced a case of atopic myelitis developed during the growth of cervical cavernous angioma caused by bleeding. A 37-year-old woman suffered from hand swelling caused by a house cat licking. At the same time when cavernous angioma had grown, she experienced a numbness in her four extremities, and multifocal peritumoral hyperintense spinal cord signals were seen. The diagnosis of atopic myelitis was made because we observed significantly elevated levels of specific IgE antibody to cat dander. Symptoms disappeared immediately after steroid pulse therapy. We subsequently resected a cavernous angioma, and eosinophil invasion was found inside it. This is the first case report of atopic myelitis which developed in association with spinal cord vascular lesions. A local blood-brain barrier breakdown due to hemorrhagic lesions of the spinal cord may have contributed to the onset of atopic myelitis.
O significado social dos direitos fundamentais na Constituição de Weimar
Authors: Neumann Franz , Tavolari Bianca
Published: July 2017

Tradução de Bianca Tavolari
Freud e o peso do gelo
Authors: Silveira Léa
Published: July 2017

Resenha de Filogênese na metapsicologia freudiana, de Fernanda Silveira Corrêa (Campinas, SP: Editora Unicamp, 2015)
A new endemic psyllid genus, Stevekenia gen. nov. (Hemiptera: Psylloidea, Triozidae), from the Hawaiian Islands with two new and rare species on threatened host plants in the endemic genus Nothocestrum (Solanaceae)
Authors: PERCY DIANA M.
Published: July 2017

A new endemic psyllid genus from the Hawaiian Islands, Stevekenia gen. nov., is described. Two new species, both single island endemics, feed on host plants in the endemic genus Nothocestrum (Solanaceae). Stevekenia nothocestri sp. nov. is found on Nothocestrum longifolium on the island of Oahu and Stevekenia aiea sp. nov. is found on N. peltatum on the island of Kauai. The host plants are montane rainforest species and both are on the IUCN Red List of Threatened Species. In particular, N. peltatum, which is endemic to the island of Kauai, is considered critically endangered, and therefore a similarly endangered status for these host-specific insects is likely. Only a few specimens of each Stevekenia species have been found, suggesting occurrence at low abundance. The host plants survive either as isolated individuals or small fragmented populations, which may already constitute less than the required critical host plant density for the long term survival of this psyllid genus. Unique morphological characters distinguish Stevekenia from other Hawaiian genera, and the placement of this genus within Triozidae is discussed. Mitochondrial DNA barcodes for the new species are provided.
The More Extreme Nature of North American Monsoon Precipitation in the Southwestern United States as Revealed by a Historical Climatology of Simulated Severe Weather Events
Authors: Luong Thang M. , Castro Christopher L. , Chang Hsin-I , Lahmers Timothy , Adams David K. , Ochoa-Moya Carlos A.
Published: July 2017

Long-term changes in North American monsoon (NAM) precipitation intensity in the southwestern United States are evaluated through the use of convective-permitting model simulations of objectively identified severe weather events during “historical past” (1950–70) and “present day” (1991–2010) periods. Severe weather events are the days on which the highest atmospheric instability and moisture occur within a long-term regional climate simulation. Simulations of severe weather event days are performed with convective-permitting (2.5 km) grid spacing, and these simulations are compared with available observed precipitation data to evaluate the model performance and to verify any statistically significant model-simulated trends in precipitation. Statistical evaluation of precipitation extremes is performed using a peaks-over-threshold approach with a generalized Pareto distribution. A statistically significant long-term increase in atmospheric moisture and instability is associated with an increase in extreme monsoon precipitation in observations and simulations of severe weather events, corresponding to similar behavior in station-based precipitation observations in the Southwest. Precipitation is becoming more intense within the context of the diurnal cycle of convection. The largest modeled increases in extreme-event precipitation occur in central and southwestern Arizona, where mesoscale convective systems account for a majority of monsoon precipitation and where relatively large modeled increases in precipitable water occur. Therefore, it is concluded that a more favorable thermodynamic environment in the southwestern United States is facilitating stronger organized monsoon convection during at least the last 20 years.
Developing a Weather Impact Index for O. R. Tambo International Airport, South Africa
Authors: Peck Lara , Hedding David William
Published: July 2017

Weather-related delays in the aviation sector will always occur; however, through effective delay management, the impact and duration of delays can be reduced. Part of delay management is thoroughly assessing adverse weather risks. A weather impact index was specifically designed for O. R. Tambo International Airport, in Kempton Park, South Africa, the busiest airport in Africa, in order to identify the level of risk forecasted adverse weather will have on departure delays. The index is based on a study of all departure delays due to adverse weather over the aerodrome for the period 2010–13. The index is marked for use on 30-h terminal aerodrome forecasts (TAFs) as a planning tool.
Speech Analysis and Mental Processes
Authors: Goldman-Eisler Frieda
Published: July 2017

The contribution of speech analysis to the scientific study of the processes involved in psychotherapy is reviewed. Objective measures of the mental processes underlying the act of speech resulting from speech analysis are reported, the problem of linking these to physiological states discussed, and examples presented of such relationships.

The analysis of the rate and nature of speech production in particular is shown to have led to the isolation of speech parameters which are relevant to the investigation of speech as a process reflecting affective and cognitive experiences.