Miracle-dz/UniFAR-FTUs huggingface dataset:
Selection and Estimation of Pipeline Models

Selection and estimation of Bondgraph models in simulation process for a developed expert system are discussed. Simple Bondgraph models for hydraulic pipelines are presented and dimensionless transfer matrices for the pipeline models are derived and compared with the distributed parameter models including Bessel functions in frequency domains. A correlation coefficient in frequency domains between the distributed parameter modes and the simple Bondgraph models is introduced into the quantitative estimation of the pipeline models for an index. By introducing the correlation coefficient, selection and estimation of pipeline models make it easy for nonprofessional persons to perform the process to be repeatedly executed as modifying components of a hydraulic circuit.
Study on the antioxidant activity of dried Allium bulgaricum leaves

Allium bulgaricum L. is used as a culinary herb and it is a wellknown flavouring principle. The antioxidant activity of dry leaves was determined as Trolox equivalent antioxidant capacity (TEAC) using different reliable methodsDPPH, ABTS, FRAP, and CUPRAC assays. Total phenolic contents was determined using a spectrophotometric technique, based on the Folin-Ciocalteau reagent, and calculated as gallic acid equivalents GAE/g DW. The total polyphenolics ranged from 9,01 ± 0,14 to 22,92 ± 0,30 mg
Using SVM to construct a Chinese dependency parser

In Chinese, dependency analysis has been shown to be a powerful syntactic parser because the order of phrases in a sentence is relatively free compared with English. Conventional dependency parsers require a number of sophisticated rules that have to be handcrafted by linguists, and are too cumbersome to maintain. To solve the problem, a parser using SVM (Support Vector Machine) is introduced. First, a new strategy of dependency analysis is proposed. Then some chosen feature types are used for learning and for creating the modification matrix using SVM. Finally, the dependency of phrases in the sentence is generated. Experiments conducted to analyze how each type of feature affects parsing accuracy, showed that the model can increase accuracy of the dependency parser by 9.2%.
Deep Appearance Maps — Supplementary Material —

We implemented DAM as a stack of convolution layers, each layer applies 1x1 convolutions using stride 1 without padding so it maintains the same resolution. We initialize DAM model weights using Xavier initialization, which makes convergence faster and more stable. Since DAM model uses 1x1 convolutions, we can input any geometry (in the form of normals) to apply our learned appearance on it. We use this to add the adversarial loss to our method: instead of comparing a reconstructed model, we pass RM normals from the same view through a DAM to see how RM would look from the same position. Estimated RMs are going to be ”fake” samples in the discriminator and ”real” samples are pre-rendered RMs. We rendered RMs similarly as our main dataset from varying angles, with different point-light and environment maps illuminations. During training, DAM estimate RMs from several views and purpose of adversarial loss is to make them look more ”realistic” similar as in ground truth RMs. The left part of Fig. 3 shows our DAM pipeline with adversarial loss.
Interactive transport of multi-view videos for 3DTV applications

The authors propose a novel method for transporting multi-view videos that aims to keep the bandwidth requirements on both end-users and servers as low as possible. The method is based on application layer multicast, where each end point receives only a selected number of views required for rendering video from its current viewpoint at any given time. The set of selected videos changes in real time as the user’s viewpoint changes because of head or eye movements. Techniques for reducing the black-outs during fast viewpoint changes were investigated. The performance of the approach was studied through network experiments.
DynamicNet: an effective and efficient algorithm for supporting community evolution detection in time-evolving information networks

DynamicNet, an effective and efficient algorithm for supporting community evolution detection in time-evolving information networks is presented and experimentally evaluated in this paper. DynamicNet introduces a graph-based model-theoretic approach to represent time-evolving information networks, and to capture how they change over time. A central feature of DynamicNet is represented by the ability of supporting matching-based community evolution detection, by identifying several classes of community transitions. Experimental results clearly demonstrate the reliability and the efficiency of our proposal.
Tracing Strength of Relationships in Social Networks

Current web is known as a space with constantly growing interactivity among its users. It is changing from the data storage into a social interaction place where people not only search interesting information, but also communicate and collaborate. Obviously, social networks are the most used places for common interaction among people. We present a method for analysis of the strength of relationships together with their evolution. This method is based on the various user activities in social networks. We evaluate our approach within the Facebook social network.
Adapting Chinese Word Segmentation for Translation by Using a Bi- lingual Dictionary

This paper proposes a method to adapt Chinese word segmentation for statistical machine translation. Two kinds of information are used to segment the Chinese sentences in the Chinese-English bilingual corpus which is the training set of the machine translation model. One is the manually segmented monolingual corpus which is widely used by general purpose segmenters. The other is the information hidden in the corresponding English sentences. In order to use the English information, rather than performing word alignment which is time consuming, we exploit a bilingual dictionary in a dynamic way. We demonstrate the usefulness of our approach on a Chinese to English translation task in a small and a large data environment.
A Real Options Model to Value Offshore Wind Power Project under Market Linkage Mechanism

This study puts forward a real options model and uses it to evaluate the investment value of offshore wind power project under market co-movement effect. The main purpose is to check investment benefit of offshore wind power project, as an investor. Several uncertainties are taken into account, including investment costs, feed-in tariffs, carbon prices and policy subsidy. Moreover, an additional uncertain factor, i.e. the market linkage of investment costs, is considered. As a case study, Jiangsu Xiangshui offshore wind park is used to illustrate the model in scenario analysis. Using a least-squares Monte Carlo simulation method, we obtain that the project value is negative. Therefore investors should abandon or postpone investment until better conditions prevail. Furthermore, this paper shows sensitivity analysis of the impact of uncertain factors on the project value. Especially sensitivity analysis of variable costs, it shows a certain impact on project value in here, which has been ignored in previous real options studies. The research results would be helpful for renewable energy project assessment and the decision-making process associated with it.
APLIcAÇÃO DO LASER ER,cR:YSGG EM PERIODONTIA E IMPLANTODONTIA: REVISÃO DE LITERATURA Er,Cr:YSGG laser in periodontics and implant dentistry: review of literature

Os lasers sao ferramentas amplamente utilizadas em diversas modalidades terapeuticas em areas medicas podendo ser divididos em lasers de baixa e alta intensidade. Para o tratamento da doenca periodontal, os lasers de baixa intensidade estao relacionados com reducao no numero de bacterias, propriedades analgesicas e antiinflamatorias e os de alta intensidade podem ser aplicados em procedimentos cirurgicos, melhorando a hemostasia, promovendo cortes mais precisos, remocao de calculos dentarios, alem de interacoes termomecânicas e fotoquimicas com os tecidos. O laser de alta intensidade Erbio impregnado por Cromo:YSGG tem demonstrado resultados satisfatorios quando aplicado em tratamentos endodonticos, restauradores, cirurgicos e como terapia coadjuvante ao tratamento basico periodontal. O objetivo dessa revisao de literatura foi avaliar os estudos que pesquisaram sobre os efeitos do laser de Er,Cr:YSGG sobre a morfologia e biocompatibilidade de superficies radiculares e de titânio irradiadas com esse lasers, alem do efeito do mesmo no tratamento da doenca periodontal e periimplantar. UNITERMOS: lasers, periodontia, terapia a laser, im
Towards Feature-space Emotional Speech Adaptation for TDNN based Telugu ASR systems

The unavailability of speech corpora is one of the critical barriers for building a large vocabulary naturalistic Telugu automatic speech recognition (ASR) system. Hence, an effort is put towards the collection of both neutral and emotional speech samples created as Telugu naturalistic emotional speech corpus(IIIT-H TNESC). In this work, we investigate the feature-space adaptation approach to compensate the acoustic mismatch between neutral and emotional speech by using auxiliary features. The features derived from the maximum likelihood linear regression (fMLLR) of GMM models are used to perform the feature-space adaptation. The effectiveness of this adaptation is studied on deep neural network (DNN), time-delay neural network (TDNN) and combined TDNN with Long short-term memory (TDNN-LSTM) based acoustic models. Experimental results show that the feature-space adaptation approach has improved the performance of baseline by an average word error rate of 15.8%
New Algorithms for Human Face Recognition to aid Criminal Investigations

Two important algorithms, including face detection and feature identification were studied in this paper for the specific application areas. Through the analysis of a face recognition algorithm using Support Vector Machine technique in the police force system, methods on BP neural network, Principle Component Analysis (PCA) and Support Vector Machine (SVM) were proposed, and a wavelet decomposition method was used in feature extraction. Experimental results indicate that the proposed algorithm has superior performance over traditional methods, and the recognition rate is higher than traditional algorithms. Keywords-Facial recognition,Feature extraction,Wavelet decomposition,SVM, criminal
Evidence from European local labor markets

Since 1980, labor markets became increasingly polarized: occupations in the middle of the wage distribution (routine occupations) tend to disappear, and are replaced by low-wage occupations (manual occupations) and high-wage occupations (abstract occupations). In the US flexible labor market, the decrease of routine occupations has been compensated by massive creation of low-paying occupations, and polarization only had a very limited impact on employment levels. This is not necessarily the case in rigid wage European countries in which the creation of such low-paying jobs is more difficult, given the institutional environment. We study the effect of the reduction of the proportion of routine jobs on the employment rate and the participation rate, conditionally on the value of the minimum wage, using local labor markets from the European Union Labor Force Survey on 8 countries which have a national minimum wage. Our OLS and IV estimates indicate that the disappearance of routine jobs has a negative impact on labor market outcomes in high-minimum wage countries due to an insufficient creation of low-paid occupations. Impact on participation is positive for low minimum wage countries, as labor supply may increase in order to compensate the deterioration of labor market opportunities.
X-ray Assisted Scanning Tunneling Microscopy and Its Applications for Materials Science: The First Results on Cu Doped ZrTe3

Synchrotron X-ray Scanning Tunneling Microscopy (SX-STM) is a novel imaging technique capable of providing real space chemically specific mapping with a potential of reaching atomic resolution. Determination of chemical composition along with ultra-high resolution imaging by SX-STM can be realized through excitation of core electrons by incident X-rays when their energy is tuned to an absorption edge of a particular atom during raster scanning, as is done in the conventional STM experiments. In this work, we provide a brief summary and the current status of SX-STM and discuss its applications for material science. In particular, we discuss instrumentation challenges associated with the SX-STM technique and present early experiments on Cu doped ZrTe3 single crystals.
Acoustic pressure of circular plate vibrating in a finite baffle with fluid loading

In this paper the problem oj calculating the acoustic pressure around a thin circular plate is ana/ysed It was assumed that the plate was clamped at the circumjerence oj the planar finite baffle and radiated into a lossless homogeneous medium. A model oj the p/ate included internal dissipation in the p/ate's material and the influence of the acoustic wave radiated by theplate on its vtbrations. The vibrations oj theplate werejorced by time-harmonic externalpressure. The acoustic pressure was calculated on the basis oj the known distribution oj vibration velocity in a series oj eigenfunctions, using properties oj the oblate spheroidal coordinates. The result was obtained as a single series oj spheroidal . function products. The number oj terms ensuring a required accuracy could be determined numerically.
PHYSICO CHEMICAL STANDARDIZATION AND PHYTOCHEMICAL SCREENING OF SIDDHA PREPARATION UDARA NOI NIVARANA THIRAVAGAM

Udara Noi Nivarana Thiravagam is a herbo mineral formulation originated from Siddha System of Medicine. It is mainly indicated for Gunmam (Peptic Ulcer). All the ingredients in the drug were properly collected and preserved and authenticated by experts. The Ingredients are purified properly as per the traditional Siddha Literatures. After that the drug was prepared systematically. The prepared drug was subjected to Physico-Chemical, Bio-Chemical, Phyto-Chemical Parameters. The results obtained from the above said parameters, Serve as a tool for authentication and standardization profile of the herbo mineral formulation.
COPD_A_197552 1803..1811

Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Beijing, People’s Republic of China Purpose: Sensitively assessing bronchial reversibility by spirometry is difficult in patients with serious airflow limitation and the elderly. Some patients cannot exhale for ≥6 s to achieve FVC testing criteria. The aim of this study was to assess if FEV3 could be a more sensitive and an acceptable surrogate for evaluating bronchial reversibility in such patients. Patients and methods: Subjects who had undergone pulmonary function examination in Beijing hospital from July 2003 to April 2015 were included in the study. Patients with FEV1<50% of the predicted value were classified as the severely lung function–impaired group. Correlation between the severity of lung function impairment and changes in FEV1, FEV3 and FVC in response to a bronchodilator was estimated. Results: A total of 7745 tests on elderly subjects with a median age of 71 years were reviewed. The severely lung function–impaired group of 1728 accounted for 22.3% of the total number of subjects. There were significantly more patients in the severely lung function–impaired group who exhibited positive response in FEV3 or FVC and negative response in FEV1 after bronchodilator test (FEV1 negative response but FVC positive response, χ2=626.97, P<0.001; FEV1 negative response but FEV3 positive response, χ2=372.83, P<0.001). With the progressive increase in lung function impairment, ΔFEV1 increased and then declined, while ΔFVC and ΔFEV3 increased progressively. Changes in FEV3 or FVC significantly exceeded the change in FEV1 in the severely lung function–impaired groups (P<0.001). Conclusion: In elderly subjects, especially those with severe lung function impairment, FEV3 combined with FVC is a more effective and sensitive primary clinical outcome measure to detect bronchial reversibility. In subjects who cannot complete ≥6 s forced expiration and whose FVC is unreliable, FEV3 combined with FEV1 might be clinically more valuable in detecting bronchial reversibility.
Atypical presentation of uterine choriocarcinoma a case report with review of literature

Gestational trophoblastic diseases include complete and partial molar pregnancy, invasive mole, placental site trophoblastic tumor, and choriocarcinoma. Gestational choriocarcinoma is one of the most malignant form of a group of tumors. Although choriocarcinoma has a very high propensity to metastasize to various sites including brain it also has a very high cure rate. Our study represents the case of choriocarcinoma developed after primary invasive mole which was treated successfully with combined surgical and medical management. We now present a course of gestational trophoblastic disease transforming from benign to a malignant condition in due course of management. We are presenting a case of a 26-year-old female who came to us with molar pregnancy which turned out be invasive mole on histopathological examination and converted into choriocarcinoma in due course of treatment even after methotrexate chemotherapy.
The evaluation of a practice change to reduce the risk of type 2 diabetes in a rural primary care practice

The Evaluation of a Practice Change to Reduce the Risk for Type 2 Diabetes in a Rural Primary Care Practice Lisa J. Straight Diabetes mellitus is a growing problem in the United States as well as worldwide. Research has shown that the onset of type 2 diabetes mellitus can be delayed or prevented with lifestyle modifications. One primary care clinic initiated and evaluated a practice change to provide an educational program to at-risk patients to reduce the risk for developing type 2 diabetes mellitus. Three educational sessions followed by bi-weekly telephone contact was provided to participants. The aim was to reduce parameters placing participants at risk including weight and fasting blood glucose as well as increasing the self efficacy of participants to make lifestyle changes. Statistically significant changes were seen in reductions of weight, body mass index, and fasting blood glucose as well as increases in some measures of self efficacy. The evaluation of the practice change supports the continuation of this program to the primary care population.
Energy Sources for Swine Diets National Swine Nutrition Guide

Energy fuels maintenance, growth, reproduction and lactation processes and physical activity. Total energy content of a feed ingredient (gross energy) is determined by its chemical composition and is the sum of the gross energies of carbohydrate, fat, and protein fractions. The proportion of gross energy utilized by the animal is dependent on energy digestibility and how the energy is utilized by the animal. Energy concentration represents the largest cost component of swine diets. Thus, information regarding energy values of feed ingredients and their contribution to the diet is of particular importance to reduce diet costs and maximize pig performance.
ePubWU Institutional Repository

International marketing studies have extensively examined the antecedents of firms’ marketing standardization/ adaptation decisions. However, it is unclear whether such decisions, once planned, codetermine the choice between buying and building foreign subsidiaries. Analyzing a sample of 150 foreign entries by Dutch firms, the authors find that the level of marketing adaptation planned for a wholly owned subsidiary is positively related to the likelihood that the subsidiary will be established through an acquisition rather than through a greenfield investment. Moreover, the authors find substantial evidence that this positive relationship is stronger for firms that (1) are establishing relatively larger subsidiaries, (2) have less experience with the industry entered, or (3) are entering less developed countries. The findings show that firms pursuing higher levels of marketing adaptation assign more value to the marketing adaptation advantages of acquisitions over greenfields, especially if the risks associated with implementing the planned adaptation level are high. In addition, firms typically strive for a fit between their international marketing strategy and their mode of foreign establishment.
HiNUMA: NUMA-Aware Data Placement and Migration in Hybrid Memory Systems

Non-uniform memory access (NUMA) architectures feature asymmetrical memory access latencies on different CPU nodes. Hybrid memory systems composed of non-volatile memory (NVM) and DRAM further diversify memory access latencies due to the relatively large performance gap between NVM and DRAM. Traditional NUMA memory management policies fail to manage hybrid memories effectively and may even hurt application performance. In this paper, we present HiNUMA, a new NUMA abstraction for memory allocation and migration in hybrid memory systems. HiNUMA advocates NUMA topologyaware hybrid memory allocation policies for the initial data placement. HiNUMA also proposes a new NUMA balancing mechanism called HANB for memory migration at runtime. HANB considers both data access frequency and memory bandwidth utilization to reduce the cost of memory accesses in hybrid memory systems. We evaluate the performance of HiNUMA with several typical workloads. Experimental results show that HiNUMA can effectively utilize hybrid memories, and deliver much higher application performance than conventional NUMA memory management policies and other state-of-the-art work.
CAUSES FOR MISERABLE QUALITY OF LIFE OF NORTHERN INDIAN FEMALE CERVICAL CANCER PATIENT POPULATION

Throughout the most recent decade, quality of life examinations of cervical tumor patients' have turned into a discriminating assessment parameter in the clinical disease exploration and medicine assessment programs. Cervical cancer, malignant neoplasm, shows up in tissues of the cervix, an imaginable preventable sickness that starts as the second most far reaching malignancy in ladies. Disregarding is being considering as a treatable hazard, 95% preventive and conditions that could be effectively analyzed through Pap smear. This disease represents a hopeless condition, plausible 24 percent of India's growth cases among ladies and notwithstanding that 80,000 Indian ladies die every year from the cervical cancer, which comes about because of the unordinary development of cells in the cervix. To comprehend conditions in charge of same circumstance, chose to do this study. This study was done in a 120 bed tertiary consideration clinic, Cancer Hospital , spotted at elite sacred city Varanasi, India. Present study evaluated the overall quality of life, side effects of patients influenced by cervical diseases by utilizing rules and modules of The European organization for Research and Treatment of Cancer. The evaluation was completed in two stages, as audit I at ≤2 cycles and further as survey II at ≥5 cycles of treatment. Information’s were investigated for 104 people with the speaking to mean age of 47.1±12.2 years. The assessment was described as utilitarian scale and manifestation scale. In the practical scale physical, and part capacities were critical (P<0.05) in cervical diseases contemplated. Extra, future points of view, social and enthusiastic capacities were seen to be critical in cervical disease, individually. Although, of all predominant manifestation of growth the scale ache was seen to be noteworthy for all licenses of cervical growths. In cervical growth patients, weakness, sleep deprivation, menopausal indications, and