Miracle-dz/UniFAR-FTUs huggingface dataset:
Terahertz vortex wave generation in air plasma by two-color femtosecond laser pulses

We investigate the generation of broadband terahertz (THz) pulses with phase singularity from air plasmas created by fundamental and second harmonic laser pulses. We show that when the second harmonic beam carries a vortex charge, the THz beam acquires a vortex structure as well. A generic feature of such THz vortex is that the intensity is modulated along the azimuthal angle, which can be attributed to the spatially varying relative phase difference between the two pump harmonics. Fully space and time resolved numerical simulations reveal that transverse instabilities of the pump further affect the emitted THz field along nonlinear propagation, which produces additional singularities resulting in a rich vortex structure. The predicted intensity modulation is experimentally demonstrated with a thermal camera, in excellent agreement with simulation results. The presence of phase singularities in the experiment is revealed by astigmatic transformation of the beam using a cylindrical mirror. © 2019 Optical Society
Dynamic modeling of magnetorheological damper and force tracking using particle swarm optimization

The magnetorheological (MR) damper is the actuator that is typically and recently used to improve the semi active vehicle ride comfort. In this study, the MR damper is investigated in order to capture its hysteresis behavior using the Spencer model. The behavior of the Spencer model is evaluated and validated based on the force-velocity and force-displacement characteristics. The investigation of the MR damper system using the force tracking control (FTC) with particle swarm optimization (PSO) is also conducted to estimate the amount of voltage output produced based on the response of MR damper force and desired control force. It has been demonstrated from simulation that the MR damper system has a good hysteresis behavior of the said characteristics. Also, by implementing the FTC with PSO approach, the proposed MR damper force is able to track the desired force better than the heuristic method for up to 2.47% error considering a given desired input force.
Protective Effects of Valproic Acid on the Nigrostriatal Dopamine System in an MPTP Mouse Model of Parkinson ’ s Disease

The use of animal models (including the 1-methyl-4-phenyl-1,2,3,6tetrahydropyridine (MPTP) mouse model) to mimic dopaminergic (DAergic) cell loss and striatal DA depletion, as seen in Parkinson’s disease (PD), has implicated a multitude of factors that might be associated with DAergic cell death in PD including excitotoxicity, inflammation, and oxidative stress. All of these factors have been shown to be reduced by administration of histone deacetylase (HDAC) inhibitors (HDACis) resulting in some degree of neuroprotection in various models of neurodegenerative disease including in Huntington’s disease and amyotrophic lateral sclerosis. However, there is limited information of effects of HDACis in PD models. We have previously shown HDACis to be partially protective against 1-methyl-4-phenylpyridinium (MPP+) mediated cell loss in vitro. The present study was conducted to extend these findings to an in vivo PD model. The HDACi valproic acid (VPA) was co-administered with MPTP for 5 days to male FVBn mice and continued for an additional 2 weeks, throughout the period of active neurodegeneration associated with MPTP-mediated DAergic cell loss. VPA was able to partially prevent striatal dopamine depletion and almost completely protect against substantia nigra DAergic cell loss. These results suggest that VPA may be a potential disease modifying therapy for PD.
Secondary Vegetation in Central Amazonia : Land-1 use History Effects on Aboveground Biomass 2 3

22 23 Secondary Vegetation in Central Amazonia: Land-Use History Effects on Aboveground 24 Biomass 25 26 Growth of secondary forest (capoeira) is an important factor in absorption of carbon from the 27 atmosphere. Estimates of this absorption vary greatly, in large part due to the effect of 28 different land-use histories on the estimates available in the literature. We relate land-use 29 history to aboveground biomass accumulation of secondary vegetation in plots on land that 30 had been used for agriculture (unmechanized manioc and maize) and for pasture in small 31 rural properties in the Tarumã-Mirim settlement near Manaus in central Amazonia, Brazil. 32 We evaluated influence of a) age of the second growth vegetation, b) time of use as 33 agriculture or pasture and c) number of times the area was burned. Biomass data were 34 obtained by destructive sampling of all plants with diameter at breast height > 1 cm in 24 35 parcels of secondary vegetation ranging from 1 to 15 years of age in abandoned pasture (n = 36 9) and agriculture (n = 15). As compared to secondary vegetation in abandoned agricultural 37 fields, vegetation in abandoned cattle pasture (the predominant use history for Amazonian 38 secondary vegetation) grows 38% more slowly to age 6 years. Number of burns also 39 negatively affects biomass recovery. Applying the growth rates we measured to the 40 secondary forests reported in Brazil’s Second National Communication to the United Nations 41 Framework Convention on Climate Change suggests that carbon uptake by this vegetation is 42 overestimated by a factor of four in the report. 43 44
Face sketch synthesis and recognition based on independent subspace

Face sketch recognition plays an important role in determining the identity of the suspect through suspect sketch which is described by witnesses.In order to better realize face sketch recognition,a new face sketch synthesis and recognition algorithm was proposed based on face independent subspace and shape features.According to the face reconstruction based on independent component analysis(ICA) subspace,the face sketch synthesis based on ICA was studied,and the conversion between photo and sketch was realized.Considering the important role of the face structure information in face recognition and in analyzing the limitation of the structural information extracted by active shape model(ASM) algorithm,the polar shape model(PSM) was proposed.Finally,the synthesised sketch was recognized with the one to be recognized by combining ICA/linear discriminant analysis(LDA) and PSM.Experiment results indicate that the synthesis sketch performs very well by new algorithm,the recognition rate of one rank is 94.7%,and the recognition rate of ten rank is 99.1%. Recognition with subspace and PSM,one rank rate can be increased by 5.3%,and the first three rank rate can be increased by 4.2% evenly.The algorithm has higher recognition rate and basically meets the requirements of automatic face sketch recognition system.
Rail Track Wear-and-Tear Costs by Traffic Class in France by

The authors thank the Société Nationale des Chemins de Fer Français (SNCF) for the opportunity to publish this study made possible by the exceptional data base provided to them. They also thank Matthieu Jehl of École Nationale des Ponts et Chaussées and CongLiem Tran of the Université de Montréal for their assistance with the regression work. They remain responsible for all errors of specification, estimation technique, or interpretation of the results. Marc Gaudry’s work was greatly facilitated by his visits as Invited and Associate Researcher, respectively at ENPC-CERAS after November 2002 and at INRETS-DEST after May 2003.
Performance Evaluation of Parallel Genetic Algorithm for Brain MRI Segmentation in Hadoop and Spark

Objectives: The radical growth of brain MRI data demands faster and accurate processing. To meet these demands, it is necessary to develop a design in cloud platform using distributed platforms. Methods/Analysis: In this paper, we introduce an architecture developed for the cloud using Apache Hadoop to segment the brain MRI images. The scanned MRI images are uploaded through either through web interface or mobile app to the system in the public cloud. The Parallel Genetic Algorithm (PGA) in the cloud system enabled with Hadoop or Spark is used to segment the given MRI images. Findings: The processing time taken for different size of data varying from 2GB to 10GB in a different number of clusters varying from one to five are denoted. This process has been implemented in both Apache Hadoop and Apache Spark. The time ranges from 12 to 24 secs approximately in Hadoop whereas the processing time has come down from 4 to 7 secs in Spark. First of all, the results prove that the network based applications for Medical Image Processing are outperformed by the cloud platform applications. Novelty/Improvement: Distributed Platforms have been used in Cloud environment for Brain MRI segmentation using Parallel Genetic Algorithm.
Geostatistics For Environmental Scientists

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Research and Development of Large Scale Hierarchical Classification Problem

With the development of information technology,Web information management and access become much difficult to some extent as rapid increase in Internet data.A large scale class hierarchy of concepts or topics was used to label the web information to make information access easier.In this process,large scale hierarchical classification problem researches how to classify the Web documents into the categories among the class hierarchy,which is surveyed in this paper.Firstly,a definition of large scale hierarchical classification problem is proposed,which is used to describe the problem in Abstraction level.Meanwhile,strategies for conquering the problem are also investigated.Secondly,classification of solving methods for this problem is analyzed,and on the basis of the classification,many typical solving methods are introduced and compared.Lastly,future research trends of the solving methods for this problem are reviewed.
ADJUSTMENT BETWEEN YOUTHS *

The purpose of this study was to explore if there are differences between women and men in relationships among family-of-origin, romantic attachment, and marital adjustment. Two hundred and forty-nine participants filled out four self-reported measures: The Differentiation in the Family System Scale, Family Adaptability and Cohesion Evaluation Scale, Experiences in Close Relationship Scale, and Revised Dyadic Adjustment Scale. In order to analyze the data, multiple-group analysis with AMOS 16.0 was used. There was no difference between women and men in all observed variables. Regardless of gender, only the romantic attachment was a significant predictor of marital adjustment. Only in women, family-of-origin significantly predicted their romantic attachment. Across gender groups, the configure model fitted satisfactorily the observed data. When measurement and structural weights, as well as residuals were constrained to be equal across gender groups, the invariance of the model was also supported. The results suggest women and men could be similar when it comes to the relationships among constructions they both have regarding family-of-origin experiences, romantic attachment patterns, and marital adjustment. Some implications for research and clinical practice with marital couples are briefly discussed.
Chapter 2 Optical Wireless and Millimeter Waves for 5 G Access Networks

Growing bandwidth demands are driving the search for increased network capacity leading to the exploration of new wavelength ranges for future communication systems. Therefore, we consider two technologies that offer increased transmission bandwidths by virtue of their high carrier frequencies, namely optical wireless and millimeter-wave transmission. After highlighting the relevant electromagnetic (EM) spectrum region, we briefly describe the applications and properties of each approach coupled with a short history of their development. This is followed by a performance comparison in two possible 5G links: outdoor point-to-point and indoor hotspots. We find that in both cases, there are regions where optical wireless communications (OWC) are better, but others where millimeter waves are to be preferred. Specifically, the former outperforms the latter over distances up to approximately 50 meters outdoors and a 10-meter hotspot radius indoors.
LATE WISCONSINAN ICE-FLOW HISTORY ON THE TIP OF THE NORTHERN PENINSULA, NORTHWESTERN NEWFOUNDLAND

This paper presents a re-evaluation of late Wisconsinan ice-flow history on the tip of the Northern Peninsula, in light of new field data and an improved understanding of the regional ice dynamics. Striation and clast-provenance data form the basis of a proposed four-stage ice-flow model between the Last Glacial Maximum and the late glacial Younger Dryas cooling event. During its maximum configuration, Labrador ice flowed southeast, across the Strait of Belle Isle onto the tip of the Northern Peninsula, and coalesced with ice from the Long Range Mountains, deflecting it southwestward into the eastern Gulf of St. Lawrence. During deglaciation, the thinning Labrador ice was channelled toward calving margins at either end of the Strait of Belle Isle. This facilitated the expansion and formation of local upland ice divides on the Northern Peninsula, in some cases reversing the ice-flow direction. The rapid retreat of tidewater ice margins above the marine limit was followed by a readvance, linked to Younger Dryas climatic cooling.
WP / 15 / 2 Increasing Productivity Growth in Middle Income Countries

Many small middle-income countries (SMICs) in sub-Saharan Africa (SSA) have experienced a moderation in growth in recent years. Although factor accumulation, most notably capital deepening, was crucial to the success of many SMICs historically, this growth model appears to have run its course. The analysis in this paper suggests that the decline in the contribution of total factor productivity (TFP) to growth is largely responsible for the slowdown in trend growth in many SMICs, which highlights the need for policy actions to reinvigorate productivity growth. This paper explores the question of what kind of structural policies could boost productivity growth in SMICs and the political economy factors that may be contributing to the slow implementation of these critical reforms in these countries. The findings suggest that although macroeconomic stability and trade openness are necessary for productivity growth, they are not sufficient. SMICs need to improve the quality of their public spending, most notably on education to minimize the skill mismatch in the labor market, reduce the regulatory burden on firms, improve access to finance by small and medium-sized enterprises and create the enabling environment to facilitate structural transformation in these economies. JEL Classification Numbers:JEL C53, E37, O41
An Ultra-short-term Wind Power Prediction Method Using "Offline Classification and Optimization,Online Model Matching" Based on Time Series Features

The applicability of ultra-short-term wind power prediction(USTWPP)models is reviewed.The USTWPP method proposed extracts featrues from historical data of wind power time series(WPTS),and classifies every short WPTS into one of several different subsets well defined by stationary patterns.All the WPTS that cannot match any one of the stationary patterns are sorted into the subset of nonstationary pattern.Every above WPTS subset needs a USTWPP model specially optimized for it offline.For on-line application,the pattern of the last short WPTS is recognized,then the corresponding prediction model is called for USTWPP.The validity of the proposed method is verified by simulations.
Unseen Style Transfer Network

[A] L. A. Gatys et al.: Image style transfer using convolutional neural networks, CVPR, 2016. (A Neural algorithm of artistic style, arXiv: 1508.06576, 2015) [B] J. Johnson et al.: Perceptual Losses for Real-Time Style Transfer and Super-Resolution, ECCV, 2016. References ・Add a style condition network to the conditional FST network. − Confirmed that a real-value cond. is OK. Style condition vector can be generated by a CNN (not by hand) − Propose a style condition network which generates a style condition vector from a given style image directly.
Source code readability improvement using heuristic-based dynamic error reporting during editing

Words (11) No specific action is possible, other than to allow the programmer to enter a replacement identifier name. English Words (12) No specific action is possible, other than to allow the programmer to enter a replacement identifier name. Numeric Name (13) No specific action is possible, other than to allow the programmer to enter a replacement identifier name.
New in-line fiber band pass filters using high silica dispersive optical fibers

New types of in-line fiber filters whose core and cladding are composed of binary silica doped with either boron or fluorine are proposed. Utilizing dispersive characteristics of SiO2–B2O3 and SiO2–F systems, we demonstrate that an optical fiber, with borosilicate core and fluorosilicate cladding, shows short-pass filter response. Experimentally, we fabricated a short-pass filter fiber that could be used as a 1310/1550 nm WDM filter. We also propose theoretically that a long-pass filter could be obtained in a fiber structure whose core is fluorosilicate with borosilicate cladding. In a special long-pass filter structure, we found that the normalized frequency can be kept uniform over a wide wavelength range from 1200 to 1700 nm, which will be applied in wideband wavelength division multiplexing devices. 2002 Elsevier Science B.V. All rights reserved.
Toward an Integrated Computational Materials Engineering ( ICME ) Model for D-LFT Process

Due to the superior properties of polyamide compared to polypropylene, direct compounding of glass fiber reinforced polyamide is currently attracting research interest. These materials are expected to provide both increased modulus, strength and toughness, which can be advantageous for automotive lightweighting endeavours. However, more work is required to achieve insight into the relationship between processing, microstructure and mechanical properties of the prospective long fiber thermoplastic (D-LFT) system. In the present study, direct compounding trials were conducted to study long glass fiber reinforced polyamide 6 compression molded composites. Numerical prediction of fiber orientation was compared with experimental observations. A simulation of plaque manufacturing in a compression molding process was performed. Flow and fiber orientation of PA6 with 30% weight glass was studied using Moldex3D. The effect of initial fiber orientation on the final orientation was studied. It was observed that the walls have a significant effect on fiber orientation and that fiber orientation differs between the skin and the core of the material. Mechanical properties are predicted using established structure-property models and measured microstructural quantities and are compared to experimental values. Results suggest that an integrated computational materials engineering (ICME) model is achievable for the D-LFT process.
Dose Selection in Seamless Phase II / III Clinical Trials based on Efficacy and Toxicity

Seamless phase II/III clinical trials are attractive in development of new drugs because they accelerate the drug development process. Seamless phase II/III trials are carried out in two stages. After stage 1 (phase II stage), an interim analysis is performed and a decision is made on whether to proceed to stage 2 (phase III stage). If the decision is to continue with further testing, some dose selection procedure is used to determine the set of doses to be tested in stage 2. In this paper we propose a dose-selection procedure for binary outcomes in adaptive seamless phase II/III clinical trials that incorporates the dose-response relationship when the experimental treatments are different dose levels of the same drug, and explicitly incorporates both efficacy and toxicity. The choice of the doses to continue to stage 2 is made by comparing the predictive power of the potential sets of doses which might continue. Copyright c © 2007 John Wiley & Sons, Ltd.
Therapeutic effect of solifenacin combined with tamsulosin on benign prostatic hyperplasia with overactive bladder

Objective: To observe the clinical efficacy of solifenacin combined with tamsulosin in benign prostatic hyperplasia (BPH) with overactive bladder (OAB). Methods: One hundred and six patients with BPH and OAB were enrolled in Department of Urology Surgery, Ruian City People’s Hospital. The patients were divided into control group and study group (53 cases for each group). In the control group, tamsulosin was used alone for 12 weeks. In the study group, solifenacin was added on the basis of the control group method for 12 weeks. International prostate symptom score (IPSS), overactive bladder symptom scores (OABSS), urine storage period symptom score (USPSS), voiding symptom score (VSS), maximum urinary flow rate (Qmax), residual urine volume (RUV), total effective rate, quality of life index (QOL), urinary nerve growth factor, and adverse reactions were analyzed and compared. Results: The general data of the two groups were statistically insignificant and comparable (P > 0.05). After treatment, the patients in the study group were superior to those in the control group in IPSS, OABSS, USPSS, VSS, and Qmax indicators. And the results of two groups were statistically different (P < 0.05). There was no significant difference in the residual urine volume between the two groups (P > 0.05). In terms of total efficiency, the study group was superior to the control group with statistical differences (P < 0.05). In terms of quality of life scores, the two groups were significantly improved after treatment (P < 0.05), and the quality of life scores in the study group after treatment were significantly better than those in the control group (P < 0.05). In terms of urine nerve growth factor, the two groups of patients significantly improved after treatment (P < 0.05), and the study group was statistically superior to the control group (P < 0.05). There was no statistical difference in the incidence of adverse reactions between the two groups (P > 0.05). Conclusion: The clinical efficacy of solifenacin combined with tamsulosin on benign prostatic hyperplasia combined with overactive bladder patients is better than that of tamsulosin alone and does not increase the incidence of side effects. It is worthy of clinical application.