bluuebunny/crossref_metadata_2025 huggingface dataset:
Diversity-oriented Multimodal and Interactive Information Retrieval
Authors: Calumby Rodrigo Tripodi
Published: June 2016

Information retrieval methods, especially considering multimedia data, have evolved towards the integration of multiple sources of evidence in the analysis of the relevance of the items considering a given user search task. In this context, for attenuating the semantic gap between low-level features extracted from the content of the digital objects and high-level semantic concepts (objects, categories, etc.) and making the systems adaptive to different user needs, interactive models have brought the user closer to the retrieval loop allowing user-system interaction mainly through implicit or explicit relevance feedback. Analogously, diversity promotion has emerged as an alternative for tackling ambiguous or underspecified queries. Additionally, several works have addressed the issue of minimizing the required user effort on providing relevance assessments while keeping an acceptable overall effectiveness

This thesis discusses, proposes, and experimentally analyzes multimodal and interactive diversity-oriented information retrieval methods. This work, comprehensively covers the interactive information retrieval literature and also discusses about recent advances, the great research challenges, and promising research opportunities. We have proposed and evaluated two relevancediversity trade-off enhancement work-flows, which integrate multiple information from images, such as: visual features, textual metadata, geographic information, and user credibility descriptors. In turn, as an integration of interactive retrieval and diversity promotion techniques, for maximizing the coverage of multiple query interpretations/aspects and speeding up the information transfer between the user and the system, we have proposed and evaluated a multimodal online learning-to-rank method trained with relevance feedback over diversified results

Our experimental analysis shows that the joint usage of multiple information sources positively impacted the relevance-diversity balancing algorithms. Our results also suggest that the integration of multimodal-relevance-based filtering and reranking is effective on improving result relevance and also boosts diversity promotion methods. Beyond it, with a thorough experimental analysis we have investigated several research questions related to the possibility of improving result diversity and keeping or even improving relevance in interactive search sessions. Moreover, we analyze how much the diversification effort affects overall search session results and how different diversification approaches behave for the different data modalities. By analyzing the overall and per feedback iteration effectiveness, we show that introducing diversity may harm initial results whereas it significantly enhances the overall session effectiveness not only considering the relevance and diversity, but also how early the user is exposed to the same amount of relevant items and diversity
Nontraumatic Myositis Ossificans of Hip: A Case Presentation
Authors: Oc Yunus , Ozcan Muhammed Sefa , Sezer Hasan Basri , Kilinc Bekir Eray , Eren Osman Tugrul
Published: June 2016

In most of the cases trauma is the leading etiology and the nontraumatic myositis ossificans (MO) is a very rare condition. We present an MO case without any trauma occurring. A 36-year-old female patient with a history of pain and restriction of range of motion of the left hip was admitted. Hip motions were restricted with 10–60° of flexion, 10° of internal rotation, 20° of external rotation, 10° of abduction, and 10° of adduction. There was no history of trauma and familial involvement. The biopsy of the lesion revealed mature bone tissue confirming our diagnosis of MO. The mass was removed surgically and postoperatively the patient was treated with a single dose radiotherapy with 800 gyc. MO is a benign and well differentiated bone formation or in other words heterotopic ossification of the muscle tissue. It has a prevalence of less than 1/1 million. Trauma is the most frequent etiological factor seen in almost 60–75% of the cases. Nontraumatic MO is very rare in the literature. Our patient had no history of trauma or familial involvement. Combination of the surgical excision with radiotherapy in the treatment of the MO of the hip may give satisfactory results.
Kernel Recursive Least-Squares Temporal Difference Algorithms with Sparsification and Regularization
Authors: Zhang Chunyuan , Zhu Qingxin , Niu Xinzheng
Published: June 2016

By combining with sparse kernel methods, least-squares temporal difference (LSTD) algorithms can construct the feature dictionary automatically and obtain a better generalization ability. However, the previous kernel-based LSTD algorithms do not consider regularization and their sparsification processes are batch or offline, which hinder their widespread applications in online learning problems. In this paper, we combine the following five techniques and propose two novel kernel recursive LSTD algorithms: (i) online sparsification, which can cope with unknown state regions and be used for online learning, (ii)L2andL1regularization, which can avoid overfitting and eliminate the influence of noise, (iii) recursive least squares, which can eliminate matrix-inversion operations and reduce computational complexity, (iv) a sliding-window approach, which can avoid caching all history samples and reduce the computational cost, and (v) the fixed-point subiteration and online pruning, which can makeL1regularization easy to implement. Finally, simulation results on two 50-state chain problems demonstrate the effectiveness of our algorithms.
Esthetic Concerns and Acceptability of Treatment Modalities in Primary Teeth: A Comparison between Children and Their Parents
Authors: Pani Sharat Chandra , Saffan Abdulrahman Al , AlHobail Sultan , Bin Salem Fares , AlFuraih AlBara , AlTamimi Mohammad
Published: June 2016

Background and Aim. Esthetic concerns in primary teeth have been studied mainly from the point of view of parents. The aim of this study was to study compare the opinions of children aged 5–8 years to have an opinion regarding the changes in appearance of their teeth due to dental caries and the materials used to restore those teeth.Methodology. A total of 107 children and both of their parents (n=321), who were seeking dental treatment, were included in this study. A tool comprising a questionnaire and pictures of carious lesions and their treatment arranged in the form of a presentation was validated and tested on 20 children and their parents. The validated tool was then tested on all participants.Results.Children had acceptable validity statistics for the tool suggesting that they were able to make informed decisions regarding esthetic restorations. There was no difference between the responses of the children and their parents on most points. Zirconia crowns appeared to be the most acceptable full coverage restoration for primary anterior teeth among both children and their parents.Conclusion.Within the limitations of the study it can be concluded that children in their sixth year of life are capable of appreciating the esthetics of the restorations for their anterior teeth.
Regulatory T Cell Induced byPoria cocosBark Exert Therapeutic Effects in Murine Models of Atopic Dermatitis and Food Allergy
Authors: Bae Min-Jung , See Hye-Jeong , Choi Gyeyoung , Kang Chang-Yuil , Shon Dong-Hwa , Shin Hee Soon
Published: June 2016

The prevalence of allergic disorders including atopic dermatitis (AD) and food allergy (FA) has increased dramatically in pediatric populations, but there is no effective drug available for their management. Therefore, trials are required for the development of safe therapeutic agents such as herbal medicines. We determined whether orally administeredPoria cocosbark (PCB) extract could exert immunosuppressive effects on allergic and inflammatory symptoms of AD and FA. For both AD, which was induced using house dust mite extract, and FA, which was induced by exposure to ovalbumin, model mice were orally treated with PCB extract for 62 days and 18 days, respectively. We also investigated the inductive effect of PCB extract on the generation and maintenance of Foxp3+CD4+regulatory T cells (Tregs). The symptoms of AD and FA were ameliorated by the administration of PCB extract. Furthermore, PCB extract inhibited the Th2-related cytokines and increased the population of Foxp3+CD4+Tregs in both AD and FA models. Inex vivoexperiments, PCB extract promoted the functional differentiation of Foxp3+CD4+Tregs, which is dependent on aryl hydrocarbon receptor activation. Thus, PCB extract has potential as an oral immune suppressor for the treatment of AD and FA through the generation of Tregs.
High Performance Robust Adaptive Beamforming in the Presence of Array Imperfections
Authors: Li Wenxing , Mao Xiaojun , Zhai Zhuqun , Li Yingsong
Published: June 2016

A high performance robust beamforming scheme is proposed to combat model mismatch. Our method lies in the novel construction of interference-plus-noise (IPN) covariance matrix. The IPN covariance matrix consists of two parts. The first part is obtained by utilizing the Capon spectrum estimator integrated over a region separated from the direction of the desired signal and the second part is acquired by removing the desired signal component from the sample covariance matrix. Then a weighted summation of these two parts is utilized to reconstruct the IPN matrix. Moreover, a steering vector estimation method based on orthogonal constraint is also proposed. In this method, the presumed steering vector is corrected via orthogonal constraint under the condition where the estimation does not converge to any of the interference steering vectors. To further improve the proposed method in low signal-to-noise ratio (SNR), a hybrid method is proposed by incorporating the diagonal loading method into the IPN matrix reconstruction. Finally, various simulations are performed to demonstrate that the proposed beamformer provides strong robustness against a variety of array mismatches. The output signal-to-interference-plus-noise ratio (SINR) improvement of the beamformer due to the proposed method is significant.
Minimizing the Cycle Time in Two-Sided Assembly Lines with Assignment Restrictions: Improvements and a Simple Algorithm
Authors: Li Zixiang , Tang Qiuhua , Zhang Liping
Published: June 2016

The two-sided assembly line balancing problem type-II (TALBP-II) is of major importance for the reconfiguration of the two-sided assembly lines which are widely utilized to assemble large-size high-volume products. The TALBP-II is NP-hard, and some assignment restrictions in real applications make this problem much more complex. This paper provides an integer programming model for solving the TALBP-II with assignment restrictions optimally and utilizes a simple and effective iterated greedy (IG) algorithm to address large-size problems. This algorithm utilizes a new local search by considering precedence relationships between tasks in order to reduce the computational time. In particular, a priority-based decoding scheme is developed to handle these assignment restrictions and reduce sequence-dependent idle times by adjusting the priority values. Experimental comparison among the proposed decoding scheme and other published ones demonstrates the efficiency of the priority-based decoding. A comprehensive computational comparison among the IG algorithm and other eight recent algorithms proves effectiveness of the proposed IG algorithm.
Takotsubo Cardiomyopathy Coexisting with Acute Pericarditis and Myocardial Bridge
Authors: Sezavar Seyed Hashem , Toofaninejad Neda , Hajsadeghi Shokoufeh , Riahi Beni Hassan , Ghanavati Reza , Hajahmadi Marjan , Hassanzadeh Morteza
Published: June 2016

Takotsubo cardiomyopathy (TCM) is a stress-induced cardiomyopathy that occurs primarily in postmenopausal women. It mimics clinical picture of acute coronary syndrome with nonobstructive coronary arteries and a characteristic transient left (or bi-) ventricular apical ballooning at angiography. The exact pathogenesis of TCM is not well recognized. Hereby we present an unusual case of TCM that presents with signs and symptoms of acute pericarditis and was also found to have a coexisting coronary muscle bridge on coronary angiography. We discuss the impact of these associations in better understanding of the pathogenesis of TCM.
Local Discontinuous Galerkin Methods Coupled with Implicit Integration Factor Methods for Solving Reaction-Cross-Diffusion Systems
Authors: An Na , Yu Xijun , Huang Chaobao , Duan Maochang
Published: June 2016

We present a new numerical method for solving nonlinear reaction-diffusion systems with cross-diffusion which are often taken as mathematical models for many applications in the biological, physical, and chemical sciences. The two-dimensional system is discretized by the local discontinuous Galerkin (LDG) method on unstructured triangular meshes associated with the piecewise linear finite element spaces, which can derive not only numerical solutions but also approximations for fluxes at the same time comparing with most of study work up to now which has derived numerical solutions only. Considering the stability requirement for the explicit scheme with strict time step restriction (Δt=O(hmin2)), the implicit integration factor (IIF) method is employed for the temporal discretization so that the time step can be relaxed asΔt=O(hmin). Moreover, the method allows us to compute element by element and avoids solving a global system of nonlinear algebraic equations as the standard implicit schemes do, which can reduce the computational cost greatly. Numerical simulations about the system with exact solution and the Brusselator model, which is a theoretical model for a type of autocatalytic chemical reaction, are conducted to confirm the expected accuracy, efficiency, and advantages of the proposed schemes.
Automatic Training of Rat Cyborgs for Navigation
Authors: Yu Yipeng , Wu Zhaohui , Xu Kedi , Gong Yongyue , Zheng Nenggan , Zheng Xiaoxiang , Pan Gang
Published: June 2016

A rat cyborg system refers to a biological rat implanted with microelectrodes in its brain, via which the outer electrical stimuli can be delivered into the brain in vivo to control its behaviors. Rat cyborgs have various applications in emergency, such as search and rescue in disasters. Prior to a rat cyborg becoming controllable, a lot of effort is required to train it to adapt to the electrical stimuli. In this paper, we build a vision-based automatic training system for rat cyborgs to replace the time-consuming manual training procedure. A hierarchical framework is proposed to facilitate the colearning between rats and machines. In the framework, the behavioral states of a rat cyborg are visually sensed by a camera, a parameterized state machine is employed to model the training action transitions triggered by rat’s behavioral states, and an adaptive adjustment policy is developed to adaptively adjust the stimulation intensity. The experimental results of three rat cyborgs prove the effectiveness of our system. To the best of our knowledge, this study is the first to tackle automatic training of animal cyborgs.
Seasonal and Geographical Variation of Dengue Vectors in Narathiwat, South Thailand
Authors: Boonklong Ornanong , Bhumiratana Adisak
Published: June 2016

Using GIS-based land use map for the urban-rural division (the relative ratio of population density adjusted to relativelyAedes-infested land area), we demonstrated significant independent observations of seasonal and geographical variation ofAedes aegyptiandAedes albopictusvectors between Muang Narathiwat district (urban setting) and neighbor districts (rural setting) of Narathiwat, Southern Thailand, based on binomial distribution ofAedesvectors in water-holding containers (water storage containers, discarded receptacles, miscellaneous containers, and natural containers). The distribution ofAedesvectors was influenced seasonally by breeding outdoors rather than indoors in all 4 containers. Accordingly, both urban and rural settings elicited significantly seasonal (wet versus dry) distributions ofAe. aegyptilarvae observed in water storage containers (P=0.001andP=0.002) and natural containers (P=0.016andP=0.015), whereas, in rural setting, the significant difference was observed in discarded receptacles (P=0.028) and miscellaneous containers (P<0.001). Seasonal distribution ofAe. albopictuslarvae in any containers in urban setting was not remarkably noticed, whereas, in rural setting, the significant difference was observed in water storage containers (P=0.007) and discarded receptacles (P<0.001). Moreover, the distributions of percentages of container index forAedes-infested households in dry season were significantly lower than that in other wet seasons,P=0.034for urban setting andP=0.001for rural setting. Findings suggest that seasonal and geographical variation ofAedesvectors affect the infestation in those containers in human inhabitations and surroundings.
Race or Resource? BMI, Race, and Other Social Factors as Risk Factors for Interlimb Differences among Overweight Breast Cancer Survivors with Lymphedema
Authors: Dean Lorraine T. , Kumar Anagha , Kim Taehoon , Herling Matthew , Brown Justin C. , Zhang Zi , Evangelisti Margaret , Hackley Renata , Kim Jiyoung , Cheville Andrea , Troxel Andrea B. , Schwartz J. Sanford , Schmitz Kathryn H.
Published: June 2016

Introduction. High BMI is a risk factor for upper body breast cancer-related lymphedema (BCRL) onset. Black cancer survivors are more likely to have high BMI than White cancer survivors. While observational analyses suggest up to 2.2 times increased risk of BCRL onset for Black breast cancer survivors, no studies have explored race or other social factors that may affect BCRL severity, operationalized by interlimb volume difference (ILD).Materials and Methods. ILD was measured by perometry for 296 overweight (25 > BMI < 50) Black (n=102) or White (n=194) breast cancer survivors (>6 months from treatment) in the WISER Survivor trial. Multivariable linear regression examined associations between social and physical factors and ILD.Results. Neither Black race (−0.26,p=0.89) nor BMI (0.22,p=0.10) was associated with ILD. Attending college (−4.89,p=0.03) was the strongest factor associated with ILD, followed by having more lymph nodes removed (4.75,p=0.01), >25% BCRL care adherence (4.10,p=0.01), and years since treatment (0.55,p<0.001).Discussion. Neither race nor BMI was associated with ILD among overweight cancer survivors. Education, a proxy for resource level, was the strongest factor associated with greater ILD. Tailoring physical activity and weight loss interventions designed to address BCRL severity by resource rather than race should be considered.
Sanguineous Pericardial Effusion and Cardiac Tamponade in the Setting of Graves’ Disease: Report of a Case and Review of Previously Reported Cases
Authors: Bui Peter V. , Zaveri Sonia N. , Pierce Jr. J. Rush
Published: June 2016

Introduction. Pericardial effusion in the setting of hyperthyroidism is rare. We present a patient with Graves’ disease who developed a sanguineous pericardial effusion and cardiac tamponade.Case Description. A 76-year-old man presenting with fatigue was diagnosed with Graves’ disease and treated with methimazole. Two months later, he was hospitalized for uncontrolled atrial fibrillation. Electrocardiography showed diffuse low voltage and atrial fibrillation with rapid ventricular rate. Chest radiograph revealed an enlarged cardiac silhouette and left-sided pleural effusion. Thyroid stimulating hormone was undetectable, and free thyroxine was elevated. Diltiazem and heparin were started, and methimazole was increased. Transthoracic echocardiography revealed a large pericardial effusion with cardiac tamponade physiology. Pericardiocentesis obtained 1,050 mL of sanguineous fluid. The patient progressed to thyroid storm, treated with propylthiouracil, potassium iodine, hydrocortisone, and cholestyramine. Cultures and cytology of the pericardial fluid were negative. Thyroid hormone markers progressively normalized, and he improved clinically and was discharged.Discussion. We found 10 previously reported cases of pericardial effusions in the setting of hyperthyroidism. Heparin use may have contributed to the sanguineous nature of our patient’s pericardial effusion, but other reported cases occurred without anticoagulation. Sanguineous and nonsanguineous pericardial effusions and cardiac tamponade may be due to hyperthyroidism.
Assessment and Surgical Treatment of Calcinosis of the Shoulder Associated with CREST Syndrome
Authors: Manohara R. , Breusch S. J.
Published: June 2016

We report an unusual case of a 65-year-old lady with CREST syndrome with multiple upper and lower limb calcinosis, who presented with severe shoulder pain and stiffness, with widespread intra- and extra-articular calcinosis, which was refractory to conservative measures. We were able to identify the main cause of her symptoms through serial diagnostic injections as calcific biceps tendinosis. We will discuss her assessment and surgical management and the pathophysiology and various treatment modalities for managing the soft tissue calcinosis in rheumatological diseases.
A Character Level Based and Word Level Based Approach for Chinese-Vietnamese Machine Translation
Authors: Tran Phuoc , Dinh Dien , Nguyen Hien T.
Published: June 2016

Chinese and Vietnamese have the same isolated language; that is, the words are not delimited by spaces. In machine translation, word segmentation is often done first when translating from Chinese or Vietnamese into different languages (typically English) and vice versa. However, it is a matter for consideration that words may or may not be segmented when translating between two languages in which spaces are not used between words, such as Chinese and Vietnamese. Since Chinese-Vietnamese is a low-resource language pair, the sparse data problem is evident in the translation system of this language pair. Therefore, while translating, whether it should be segmented or not becomes more important. In this paper, we propose a new method for translating Chinese to Vietnamese based on a combination of the advantages of character level and word level translation. In addition, a hybrid approach that combines statistics and rules is used to translate on the word level. And at the character level, a statistical translation is used. The experimental results showed that our method improved the performance of machine translation over that of character or word level translation.
An Expression Signature as an Aid to the Histologic Classification of Non–Small Cell Lung Cancer
Authors: Girard Luc , Rodriguez-Canales Jaime , Behrens Carmen , Thompson Debrah M. , Botros Ihab W. , Tang Hao , Xie Yang , Rekhtman Natasha , Travis William D. , Wistuba Ignacio I. , Minna John D. , Gazdar Adi F.
Published: June 2016

Purpose: Most non–small cell lung cancers (NSCLC) are now diagnosed from small specimens, and classification using standard pathology methods can be difficult. This is of clinical relevance as many therapy regimens and clinical trials are histology dependent. The purpose of this study was to develop an mRNA expression signature as an adjunct test for routine histopathologic classification of NSCLCs.

Experimental Design: A microarray dataset of resected adenocarcinomas (ADC) and squamous cell carcinomas (SCC) was used as the learning set for an ADC-SCC signature. The Cancer Genome Atlas (TCGA) lung RNAseq dataset was used for validation. Another microarray dataset of ADCs and matched nonmalignant lung was used as the learning set for a tumor versus nonmalignant signature. The classifiers were selected as the most differentially expressed genes and sample classification was determined by a nearest distance approach.

Results: We developed a 62-gene expression signature that contained many genes used in immunostains for NSCLC typing. It includes 42 genes that distinguish ADC from SCC and 20 genes differentiating nonmalignant lung from lung cancer. Testing of the TCGA and other public datasets resulted in high prediction accuracies (93%–95%). In addition, a prediction score was derived that correlates both with histologic grading and prognosis. We developed a practical version of the Classifier using the HTG EdgeSeq nuclease protection–based technology in combination with next-generation sequencing that can be applied to formalin-fixed paraffin-embedded (FFPE) tissues and small biopsies.

Conclusions: Our RNA classifier provides an objective, quantitative method to aid in the pathologic diagnosis of lung cancer. Clin Cancer Res; 22(19); 4880–9. ©2016 AACR.
CTLA-4 Limits Anti-CD20–Mediated Tumor Regression
Authors: Ren Zhenhua , Guo Jingya , Liao Jing , Luan Yan , Liu Zhida , Sun Zhichen , Liu Xiaojuan , Liang Yong , Peng Hua , Fu Yang-Xin
Published: June 2016

Purpose: The inhibition of tumor growth by anti-CD20 antibody (Ab) treatment is mediated by Ab- and complement-dependent cytotoxicity in xenograft tumor models. In addition, anti-CD20 therapy for B-cell lymphoma can result in intrinsic and extrinsic tumor resistance to further Ab treatment. However, adaptive immune response–related resistance has not been well studied in anti-CD20–mediated tumor control, and adaptive immunity has long been underestimated. The purpose of this study was to explore whether T cells are involved in mediating the effects of anti-CD20 therapy and what factors contribute to adaptive immune response–related resistance.

Experimental Design: Using a syngeneic mouse B-cell lymphoma model, we investigated the role of CD8+ T cells in anti-CD20–mediated tumor regression. Furthermore, we revealed how the tumor-specific T-cell response was initiated by anti-CD20. Finally, we studied adaptive immune response–related resistance in advanced B-cell lymphoma.

Results: CD8+ T cells played an essential role in anti-CD20–mediated tumor regression. Mechanistically, anti-CD20 therapy promoted dendritic cell (DC)-mediated cross-presentation. Importantly, macrophages were also necessary for the increase in the tumor-specific CTL response after anti-CD20 treatment, via the production of type I IFN to activate DC function. Furthermore, adaptive resistance is gradually developed through the CTLA-4 pathway in Treg cells in larger lymphomas. Further blockade of CTLA-4 can synergize with anti-CD20 treatment in antitumor activities.

Conclusions: The therapeutic function of anti-CD20 depends on tumor-specific CD8+ T-cell responses initiated by anti-CD20 through macrophages and DCs. CTLA-4 blockade can synergize with anti-CD20 to overcome adaptive immune response–related resistance in advanced B-cell lymphoma. Clin Cancer Res; 23(1); 193–203. ©2016 AACR.
Progressive Resistance Training in End-Stage Renal Disease: Systematic Review
Authors: Chan Danwin , Cheema Birinder S.
Published: June 2016

Background: This systematic review provides an overview of the extant literature on progressive resistance training (PRT) in patients with end-stage renal disease (ESRD) and outlines recommendations for future trials. Methods: A systematic review of all published literature evaluating the chronic (>6 weeks) application of PRT in patients with ESRD using electronic databases. Results: The search yielded 16 clinical trials, including 11 randomized controlled trials (RCT), 4 uncontrolled trials and one trial involving a within-subjects control period plus RCT. RCT quality, assessed via the CONSORT statement, ranged from low (4/10) to high (10/10) with a mean score of 7.3/10; 7/11 RCT had a quality score ≥7.5. All trials evaluated chronic adaptation to PRT across a range of important outcomes. PRT can induce muscle hypertrophy and improve aspects of physical functioning and health-related quality of life in ESRD. There is preliminary evidence that PRT may reduce protein-energy malnutrition and cardiovascular disease risk factors, including C-reactive protein, total cholesterol, triglyceride, and measures of insulin resistance in patients with or at-risk of comorbid type 2 diabetes. The evidence base for PRT adapting some of the endpoints investigated to date remains inconsistent (e.g. physical performance tests, obesity outcomes), and many other pertinent clinical outcomes remain to be investigated. Conclusion: RCT are required to investigate a range of novel research questions related to the benefits and application of PRT in this cohort and its patient subgroups (e.g. diabetes, depression, dyslipidemia, etc.). Future studies must be of high methodological quality to inform clinical practice guidelines.
Expression of Renal Aquaporins in Aristolochic Acid I and Aristolactam I-Induced Nephrotoxicity
Authors: Li Ji , Zhang Liang , Jiang ZhenZhou , He XiuQin , Zhang LuYong , Xu Ming
Published: June 2016

Background: Exposure to aristolochic acid (AA) can cause AA nephropathy, which is characterized by extensive proximal tubular damage and polyuria. Methods: To test the hypothesis that polyuria might be induced by altered regulation of aquaporins (AQPs) in the kidney, different doses of AA-I or aristolactam I (AL-I) were administered intraperitoneally to Sprague-Dawley rats, and urine, blood, and kidney samples were analyzed. In addition, AQP1, AQP2, AQP4 and AQP6 expression in the kidney were determined. Results: The results showed dose-dependent proximal tubular damage and polyuria in the AA-I- and AL-I-treated groups, and the nephrotoxicity of AL-I was higher than that of AA-I. The expression of renal AQP1, AQP2 and AQP4, but not AQP6 were significantly inhibited by AA-I and AL-I. Comparison of the inhibition potencies of AA-I and AL-I showed that AL-I was a stronger inhibitor of AQP1 expression than AA-I, while there was no difference in their effects on AQP2 and AQP4. Conclusion: These results suggested that AA induced renal damage and polyuria were associated with a specific decrease in the expression of renal AQP1 AQP2 and AQP4, and AL-I showed higher nephrotoxicity than AA-I, which might be attributable to the differences in their inhibition of AQP1.
Rotational Load Flow Method for Radial Distribution Systems
Authors: Issicaba Diego , Coelho Jorge
Published: June 2016

This paper introduces a modified edition of classical Cespedes' load flow method to radial distribution system analysis. In the developed approach, a distribution network is modeled in different complex reference systems and reduced to a set of connected equivalent subnetworks, each without resistance, while graph topology and node voltage solution are preserved. Active power losses are then not dissipated in the modeled subnetworks and active power flows can be obtained as a consequence of radiality. Thus, the proposed method preprocesses a series of variable transformations concomitant to an iterative algorithm using a forward-backward sweep to arrive at the load flow solution. The proposed approach has been tested using literature and actual distribution networks, and efficiency improvements are verified in comparison to Cespedes' load flow method.
Efficient Low-Complexity Digital Predistortion for Power Amplifier Linearization
Authors: Monther Yousif Siba , M. Sidek Roslina , Sabah Mekki Anwer , Sulaiman Nasri , Varahram Pooria
Published: June 2016

In this paper, a low-complexity model is proposed for linearizing power amplifiers with memory effects using the digital predistortion (DPD) technique. In the proposed model, the linear, low-order nonlinear and high-order nonlinear memory effects are computed separately to provide flexibility in controlling the model parameters so that both high performance and low model complexity can be achieved. The performance of the proposed model is assessed based on experimental measurements of a commercial class AB power amplifier by applying a single-carrier wideband code division multiple access (WCDMA) signal. The linearity performance and the model complexity of the proposed model are compared with the memory polynomial (MP) model and the DPD with single-feedback model. The experimental results show that the proposed model outperforms the latter model by 5 dB in terms of adjacent channel leakage power ratio (ACLR) with comparable complexity. Compared to MP model, the proposed model shows improved ACLR performance by 10.8 dB with a reduction in the complexity by 17% in terms of number of floating-point operations (FLOPs) and 18% in terms of number of model coefficients.
Study of the Trilinear Neighborhood Model of Process of Formation of Temperature’s Coiling Hot-rolled Strip
Authors: Shmyrin A.M. , Yurtsev A.G. , Korneev A.M. , Abdullakh L.S.
Published: June 2016

The paper considers trilinear neighborhood model of process of formation of temperature’s coiling hot-rolled strip, where the parameters are the state, control and information. The methods of determining the composition of extremums of the general parametric operation are presented. Extremums’ condition for the existence, which has been tested on a concrete example, is obtained. The assumption about the area in which it is impossible to say with certainty about the system’s stability is stated. The hypothesis about the condition of the loss of the position of stable equilibrium of the system and the transition to a new state.
Exploration of Corpus Augmentation Approach for English-Hindi Bidirectional Statistical Machine Translation System
Authors: Jaya K. , Gupta Deepa
Published: June 2016

Even though lot of Statistical Machine Translation(SMT) research work is happening for English-Hindi language pair, there is no effort done to standardize the dataset. Each of the research work uses different dataset, different parameters and different number of sentences during various phases of translation resulting in varied translation output. So comparing  these models, understand the result of these models, to get insight into corpus behavior for these models, regenerating the result of these research work  becomes tedious. This necessitates the need for standardization of dataset and to identify the common parameter for the development of model.  The main contribution of this paper is to discuss an approach to standardize the dataset and to identify the best parameter which in combination gives best performance. It also investigates a novel corpus augmentation approach to improve the translation quality of English-Hindi bidirectional statistical machine translation system. This model works well for the scarce resource without incorporating the external parallel data corpus of the underlying language.  This experiment is carried out using Open Source phrase-based toolkit Moses. Indian Languages Corpora Initiative (ILCI) Hindi-English tourism corpus is used.  With limited dataset, considerable improvement is achieved using the corpus augmentation approach for the English-Hindi bidirectional SMT system.
Walsh Transform based Feature vector generation for Image Database Classification
Authors: Save Jagruti Ketan
Published: June 2016

Thousands of images are generated everyday, which implies the need to build an easy, faster, automated classifier to classify and organize these images. Classification means selecting an appropriate class for a given image from a set of pre-defined classes. The main objective of this work is to explore feature vector generation using Walsh transform for classification. In the first method, we applied Walsh transform on the columns of an image to generate feature vectors. In second method, Walsh wavelet matrix is used for feature vector generation. In third method we proposed to apply vector quantization (VQ) on feature vectors generated by earlier methods. It gives better accuracy, fast computation and less storage space as compared with the earlier methods. Nearest neighbor and nearest mean classification algorithms are used to classify input test image. Image database used for the experimentation contains 2000 images. All these methods generate large number of outputs for single test image by considering four similarity measures, six sizes of feature vector, two ways of classification, four VQ techniques, three sizes of codebook, and five combinations of wavelet transform matrix generation. We observed improvement in accuracy from 63.22% to 74% (55% training data) through the series of techniques.
Field Oriented Control of PMSM Supplied by Photovoltaic Source
Authors: Boudjemaa Mehimmedetsi , Rachid Chenni
Published: June 2016

The Permanent magnet synchronous motor (PMSM) is suitable for so much application, such as traction, aeronautics and generally in industrial automated processes. In our work, we will study the application of PMSM in renewable energies especially solar pumping. Our objective is to model the complete system, including the photovoltaic inverter, PMSM and the centrifugal pump under Matlab/Simulink environment. Solar panels generate electrical energy as direct current by direct conversion of solar radiation using semiconductor materials made of monocrystalline, polycrystalline or amorphous silicon. The energy received depends on radiation and on ambient temperature. The permanent magnet synchronous motor (PMSM) is not stable in open loop. To control the PMSM in terms of speed, torque or position, we need to implement vector control.
We will establish the field oriented control of a PMSM supplied by photovoltaic source with a focus on their applications in variable speed domain.
Intranet Design Strategies
Authors: Devu Rohith Roshan , Katta Subba Rao
Published: June 2016

The intranets have been deployed extensively in large and small-scale organizations. It has grown rapidly by offering features like collaborative communication channels, easing the business processes etc. Typically organizations faced difficulties but they are prevalent while implementation. But the organizations lack clear strategies in designing intranet. It leads to loss on investment, time and productivity, a complete intranet failure. Previous studies mainly focused on management, security and usage etc. This paper presents 9 design strategies for intranet addressing system oriented plan that can be applied in real-time to achieve improvement in organizational performance.
Modelling the Effect of Applied Voltage and Frequency on Electroluminescence in Polymeric Material
Authors: Bani N.A. , Abdul-Malek Z , Muhammad-Sukki F , Mas’ud A Abubakar , Muhtazaruddin M.N. , Kamardin K , Jamian J.J. , Ahmad H
Published: June 2016

Electroluminescence method has been used by several researchers to observe the behaviour of an aged polymeric material. Electroluminescence is a phenomenon that occurs when the atoms of a material are being excited due to the application of and external high electrical stresses. The changes in the energy level of these excitation states can be used as an indicator for the initiation of electrical ageing. There are several factors that affect the behaviour of electroluminescence emission such as, among others, applied voltage, applied frequency, ageing of material and types of materials and gases used are discussed in this paper. A mathematical approach relating these factors and the intensity of electroluminescence is proposed through the aid of Dimensional Analysis method. A close relationship is obtained between experimental and simulation that suggests this mathematical approach can be utilized as a tool to predict electrical ageing of insulation material.
Automatic Extraction Of Malay Compound Nouns Using A Hybrid Of Statistical And Machine Learning Methods
Authors: A. S. Hazaa Muneer , Omar Nazlia , Ba-Alwi Fadl Mutaher , Albared Mohammed
Published: June 2016

Identifying of compound nouns is important for a wide spectrum of applications in the field of natural language processing such as machine translation and information retrieval. Extraction of compound nouns requires deep or shallow syntactic preprocessing tools and large corpora. This paper investigates several methods for extracting Noun compounds from Malay text corpora. First, we present the empirical results of sixteen statistical association measures of Malay  compound nouns extraction. Second, we introduce the possibility of integrating multiple association measures. Third, this work also provides a standard dataset intended to provide a common platform for evaluating research on the identification compound Nouns in Malay language. The standard data set contains 7,235 unique N-N candidates, 2,970 of them are N-N compound nouns collocations. The extraction algorithms are evaluated against this reference data set. The experimental results  demonstrate that a group of association measures (T-test , Piatersky-Shapiro (PS) , C_value, FGM and  rank combination method) are the best association measure and outperforms the other association measures for  collocations in the Malay  corpus. Finally, we describe several classification methods for combining association measures scores of the basic measures, followed by their evaluation. Evaluation results show that classification algorithms significantly outperform individual association measures. Experimental results obtained are quite satisfactory in terms of the Precision, Recall and F-score.
A Numerical Model of Joule Heating in Piezoresistive Pressure Sensors
Authors: Beddiaf Abdelaziz , Kerrour Fouad , Kemouche Salah
Published: June 2016

Thermal drift caused by Joule heating in piezoresistive pressure sensors affects greatly the results in the shift of the offset voltage of the such sensors. The study of the thermal behavior of these sensors is essential to define the parameters that cause the output characteristic drift. The impact of Joule heating in a pressure sensor has been studied. The study involves the solution of  heat transfer equation considering  the conduction in Cartesian coordinates for the transient regime using Finite Difference Method. We determine how the temperature affects the sensor during the applying a supply voltage. For this, the temperature rise generated by Joule heating in piezoresistors has been calculated for  different geometrical parameters of the sensor as well as for different operating time. It is observed that Joule heating leads to important rise temperature in the piezoresistor and, hence, causes drift in the output voltage variations in a  sensor during its operated in a prolonged time. This paper put emphasis on the geometric influence parameters on these characteristics to optimize the sensor performance. The optimization of geometric parameters of sensor allows us to reducing the internal heating effect. Results showed also that low bias voltage should be applied for reducing Joule heating.
Analysis of IEEE 802.15.4 Beacon-Enabled MAC Protocol
Authors: Dinh Nga , Lim Sangsoon
Published: June 2016

This paper aims to develop several mathematical models to study medium access control (MAC) protocol in the IEEE 802.15.4 beacon-enabled mode with star topology. In particular, the MAC protocol which employs a slotted carrier-sense multiple access with collision avoidance (CSMA/CA) algorithm used in the contention access period (CAP) of a superframe is modelled. The analysis studies the effectiveness of the CSMA/CA algorithm and provides explicit mathematical expressions for power consumption, access delay, and data frame drop probability. The proposed models precisely follow CSMA/CA algorithm in MAC protocol of beacon-enabled mode and differ from those previously published in the literature as 1) they are derived based on data frame generation rate of end devices, 2) they provide a completed expression for frame access delay, and 3) lowpower states of end devices are considered for power efficiency evaluations. The paper shows how power consumption of end devices is improved on the balance with data frame delay. The validity of the proposed models is confirmed and complemented by extensive simulations.
Acolhimento aos usuários de crack de um Centro de Atenção Psicossocial: os sentidos atribuídos pelos trabalhadores
Authors: Souza Sinara De Lima , Melo Luzimara Gomes
Published: June 2016

Os objetivos deste estudo foram compreender os sentidos atribuídos pelos trabalhadores em relação ao acolhimento aos usuários de crack atendidos em um CAPS ad do interior da Bahia e identificar quais as ações de acolhimento desenvolvidas por esses trabalhadores. Caracteriza-se por ser de abordagem qualitativa, exploratória e descritiva. A coleta de dados foi realizada através de um roteiro de entrevista semiestruturada e da observação participante. A técnica de análise de conteúdo do tipo temática foi utilizada, emergindo duas categorias. Conclui-se que, mesmo que alguns trabalhadores confundam com o processo de triagem, eles reconhecem a importância de escuta qualificada, resolutiva, humanizada, baseada no princípio do SUS da equidade, visando o reconhecimento das demandas, estabelecendo vínculos terapêuticos, sem discriminação ou preconceito.
Potenciais interações medicamentosas em um serviço de urgência psiquiátrica de um hospital geral: análise das primeiras vinte e quatro horas
Authors: Oliveira Luisa Parra , Zago Karine Santana de Azevedo , Aguiar Sheylla Bezerra
Published: June 2016

A interação medicamentosa ocorre quando uma droga tem sua potência ou eficiência alterada pela presença de outra. A medicação utilizada nas urgências psiquiátricas tem como objetivo diminuir e/ou cessar sintomas relacionados à alteração do comportamento, quase sempre sintomas de agitação psicomotora e agressividade. É comum a utilização da polifarmácia para aumento do potencial de interação. O objetivo do estudo foi levantar as possíveis duplas de interações medicamentosas administradas no mesmo horário, em um serviço de urgência psiquiátrica de um hospital geral, durante as primeiras vinte e quatro horas de atendimento. Trata-se de um estudo descritivo, exploratório, documental, retrospectivo e de caráter quantitativo. A população refere-se aos prontuários de pacientes atendidos no PS HCU-UFU, na especialidade de psiquiatria, durante o ano de 2012. Selecionaram-se 725 prontuários de pacientes que buscaram o pronto-socorro do Hospital de Clínicas da Universidade Federal de Uberlândia no ano de 2012. As possíveis interações medicamentosas foram analisadas a partir do cruzamento dos fármacos nas bases de dados Drugs® e Micromedex®. A interação mais frequente nos prontuários analisados foi de Haloperidol + Prometazina, totalizando 17,7% de todas as 1.537 duplas de medicamentos administrados no mesmo horário, no período pesquisado. A base de dados Drugs® informou que, do total de duplas administradas no período, 559 (36%) apresentaram possibilidade de interação e 978 (64%) não apresentaram indícios de risco de interação. O Micromedex® evidenciou que, em 329 (21%) das duplas de medicamentos administrados houve algum tipo de interação medicamentosa, mas em 1.208 (79%) duplas não foi encontrada qualquer possibilidade de interação. A classe de medicamentos das possíveis interações que predominou foram os Benzodiazepínicos + Antipsicóticos, associação comumente utilizada nas emergências psiquiátricas, alertando para a necessidade de monitoramento dos possíveis efeitos adversos destes medicamentos. A partir dos achados, elaborou-se um quadro com os principais cuidados de potenciais interações entre medicamentos utilizados na urgência psiquiátrica.