Miracle-dz/UniFAR-FTUs huggingface dataset:
Versatile Retrovirus Vector Systems for Regulated Gene Expression In Vitro and In Vivo

Background: Several plasmid DNA-based mammalian expression systems have recently been developed which make it possible to manipulate gene expression via the administration of exogenous agents. In order to extend the application of these systems, we have developed retroviral vectors which allow for the controlled expression of inserted genes both in vitro and in vivo. Materials and Methods: Two vector strategies which make use of the tetracycline-regulated gene expression system described by Gossen and Bujard were evaluated. In a first strategy, one virus was generated which encoded the tTA or rtTA transactivator gene product, and a second virus was generated in which expression of the gene of interest was dependent upon tetracycline-responsive transcriptional control elements placed either within the viral LTR or within the proviral transcriptional unit. In a second vector strategy, both components of the tet-regulatable system were incorporated into a single proviral genome in such a way that expression of both the transgene and the transactivator gene product were under control of tet-regulatable control elements. Results: Both vector strategies resulted in the ability to regulate the expression of inserted genes. In one single virus configuration, gene expression could be regulated over IOOX and the level of gene expression in the induced state was comparable to or greater than that achieved with standard LTR-based vectors. The use of different deletions in the viral LTR made it possible to generate a number of vectors which provide for a fourfold range of levels of expression of inserted genes in the induced state. Studies in mice with transduced cells demonstrated that gene expression could be induced in vivo by manipulation of tetracycline for at least 48 days. Conclusions: The availability of highly transmissible, regulatable retroviral vectors should greatly facilitate studies in which it is of interest to manipulate the expression of specific genes in vitro or in vivo.
EasyChair Preprint No 865 Robust Authorship Verification with Transfer Learning

We address the problem of open-set authorship verification, a classification task that consists of attributing texts of unknown authorship to a given author when the testing set may differ significantly with the training set in terms of documents and candidate authors. We present an end-to-end model-building process that is universally applicable to a wide variety of corpora, with little to no modification or fine-tuning. It relies on transfer learning of a deep language model and uses a generative adversarial network and a number of text augmentation techniques to improve the model’s generalization ability. The language model encodes documents of known and unknown authorship into a domain-invariant space, aligning document pairs as input to the classifier while keeping them separate. The resulting embeddings are used to train an ensemble of recurrent and quasi-recurrent neural networks. The entire pipeline is bidirectional; forward and backward pass results are averaged. We perform experiments on four traditional authorship verification datasets, a collection of machine learning papers mined from the web, and a large Amazon-Reviews dataset. Experimental results outperform baseline and state-of-the-art techniques, validating the proposed approach.
Analysis of BRCA 1 and BRCA 2 Mutations in Eastern Egyptian Breast Cancer Patients

Mutations in breast cancer susceptibility genes 1 and 2 (BRCA1 and BRCA2) have higher frequency in breast cancer cases. Three founder mutations 185delAG and 5382insC in BRCA1 and 6174delT in BRCA2 are frequently reported in breast cancer patients from various ethnic backgrounds. The aim of the current study was to evaluate the frequency of the BRCA1 and BRCA2 mutations in Eastern Egyptian sporadic breast cancer patients and their relatives as possible diagnostic markers. One hundred women with sporadic breast cancer and one hundred healthy firstdegree relatives were included in the study. Multiplex polymerase chain reaction method was used to analyze the DNA prepared from peripheral blood. Data analysis showed that 185delAG mutation in BRCA1 was expressed at low frequency (3%), whereas the 5382insC in BRCA1 and 6174delT in BRCA2 were not detected within the Eastern Egyptian population. Conclusion: The low percentage of BRCA1 and BRCA2 mutations in apparently sporadic earlyonset cancer and relatives suggested that mutation detection is insufficient to screen Egyptian population.
Highly Integrated X-band microwave modules for the TerraSAR-X calibrator

In April 2006, the TerraSAR-X satellite will be launched. This paper describes the development of a novel and highly integrated, digitally controlled active Xband SAR system calibrator (DARC). It consists of both an active transponder path for absolute radiometric calibration and a calibrated receiver chain for antenna pattern evaluation of the satellite antenna. A total of 16 active transponder and receiver systems and 17 receiver only systems will be fabricated for a calibration campaign.
An Experimental Analysis to Check Accuracy of DGA Using Duval Pentagonal Method in Power Transformer

Analysis of Dissolved gas method is very sensitive and reliable method for detection of internal fault in power transformer. One of the most used method for DGA is duval triangle method. Duval triangle is not considering two combustible gases like, ethane C"H$, and hydrogen H". so, Duval triangle method has low accuracy for fault interpretation. Then, Duval pentagonal method is used for fault detection in power transformer. In this paper, we have get data for power transformer from Torrent Power Ltd. This experiment has done on various 20 power transformer rating of 15MVA,21kV/400kV. But, In this paper, We have shown six data of fault in case study and found fault by Duval Triangle method and Duval pentagonal method. Then, we will verify this fault interpretation with actual fault. And, we will see that Duval Pentagonal method have higher accuracy (above 80%) for fault interpretation. Keywords—Dissolved Gas Analysis (DGA), Power transformers, fault diagnosis, Duval pentagon Kalpa Publications in Engineering Volume 1, 2017, Pages 394–401 ICRISET2017. International Conference on Research and Innovations in Science, Engineering &Technology. Selected Papers in Engineering A. Shukla, J.M. Patel, P.D. Solanki, K.B. Judal, R.K. Shukla, R.A. Thakkar, N.P. Gajjar, N.J. Kothari, S. Saha, S.K. Joshi, S.R. Joshi, P. Darji, S. Dambhare, B.R. Parekh, P.M. George, A.M. Trivedi, T.D. Pawar, M.B. Shah, V.J. Patel, M.S. Holia, R.P. Mehta, J.M. Rathod, B.C. Goradiya and D.K. Patel (eds.), ICRISET2017 (Kalpa Publications in Engineering, vol. 1), pp. 394–401
Modeling and Frequency Analysis of a Dual H-bridge Current Flow Controller in Meshed HVDC systems

This paper investigates the modeling and operation of dual H-bridge current flow controllers (CFCs) in meshed high-voltage direct-current (HVDC) systems. Two operating modes of the CFC device, namely the ‘buck mode’ and the ‘boost mode’, are defined and analyzed. Small-signal models of the dual H-bridge CFC are derived in the s-domain for each operating mode. A frequency sweep procedure is carried out using PSIM to obtain frequency domain representations of the CFC to verify the validity and accuracy of the small-signal models. The dynamic performance of the dual H-bridge CFC is verified through time-domain simulations conducted in PSCAD/EMTDC.
Performance versus height in Freestyle swimming in girls of 10 years

Introduction: The Freestyle swimming is currently known as the fastest within the competitive environment. Objective: The objective of this study was to investigate the performance differences in Freestyle swimming of female children of 10 years old, relating total time of swim and stature, in a distance of 25 meters. Method: Participated in the study 10 female children of 10 years old. The task was to swim 25 meters, as fast as possible in Freestyle swimming and, beyond this measure, was used anthropometric measure related to height. Was conducted a Pearson Correlation test. Results: The results showed that the correlation is inversely proportional (negative), weak and non-significant, in other words, swim faster has no effect on the subjects’ height in the total duration of the swimming. Conclusion: The results indicate that there is no relationship between performance and height for girls of 10 years in the Freestyle swimming.
Jaguar Conservation in Brazil : The Role of Protected Areas

15 As the largest predator in the tropical Americas, the jaguar Panthera onca faces threats typical for large carnivores worldwide: Habitat loss and persecution. Large-scale habitat conversion (Fig. 1) collapses the range and fragments the landscape, constraining jaguar populations to protected areas. Where cattle ranching overlaps with jaguar range (Fig. 2), hunting as retaliation for domestic livestock predation can drive the species to local extinction (IUCN/ SSC Cat Specialist Group 1996). As a result, the jaguar’s entire range has been reduced by more than 50% since 1900 (Sanderson et al. 2002), and the species is thought to be extirpated in two of the 21 countries in which it originally occurred (Cat Specialist Group 2002). Listed as Near Threatened on the IUCN Red List (Cat Specialist Group 2002), the species’ major stronghold is the 6,915,000-km2 Amazon basin, although significant populations are also thought to exist in the Paraguayan Chaco and the Pantanal wetlands shared by Brazil and Paraguay (Sanderson et al. 2002). According to a recent range-wide assessment, 50% of the jaguar’s distribution lies within Brazil (Sanderson et al. 2002). Brazil gains even more importance for the species’ range-wide conservation because half of the Amazon basin is located in Brazil and provides the large un-fragmented block of habitat essential for the survival of this area-sensitive top predator. In addition to the Amazon forest, jaguars occur in four other Brazilian biomes: the savannah-like Cerrado, the semi-arid Caatinga, the coastal Atlantic Forest, and the Pantanal wetlands. Ecological conditions, as well as the socio-economical situation of the human population vary widely among these biomes, so the jaguar’s conservation status is likely to vary accordingly. Nationally, the species is listed as threatened (IBAMA 2003). The protection of threatened species such as the jaguar on a regional and national level is an explicit objective of the Brazilian National System of Conservation Units (Sistema Nacional de Unidades de Conservação – SNUC, IBAMA 2000). In an ever changing and developing human landscape, protected areas are one of the most important tools for conservation in any biome and should be cornerstones for regional conservation planning (Noss et al. 1996, Margules & Pressey 2000, Rylands & Brandon 2005). The purpose of this study was to classify the potential of the Brazilian protected areas for the jaguar’s longterm survival in the five biomes, utilizing estimates of jaguar population size in protected areas in a Population Viability Analysis (PVA). Comparing results between biomes, we give the first systematic assessment of differences in jaguar protection status within major regions of Brazil. Jaguar Conservation in Brazil: The Role of Protected Areas
Improvement of Security Systems by Enhancing the Detection of Objects in Baggage X-Ray Radiography Images

Visual inspection of baggage in airports and other critical centers takes a great time. In many cases, especially when the objects inside the load are positioned at specific angles, they may not be detectable by rapid visual examinations. Nowadays, X-ray imaging devices are used to detect objects at the passengers' luggage. Radiographic images obtained due to scattering of photon have a degree of fogging, and sometimes the exact diagnosis of objects is difficult. Image processing methods can improve the contrast and the ability to recognize objects. Different noises and scattering levels exist in radiographic images, which justify the use of automated image processing methods. In this study, Gabor filter and wavelet methods with automatic threshold level have been used to improve the quality of images. According to the results, there is no significant difference in the degree of detection of the objects, regardless of the differences in the reconstructed images. In both methods, the contrast and detection capabilities of the primary radiography images have improved significantly. The computation time of the implementation of the discrete wavelet algorithm is about one eighth of Gabor's time of execution, which can be remarkable given the importance of image processing speed in the area of passenger traffic inspection.
Qualification of 'Bordô' grape clones in Vale do Rio do Peixe, in the state of Santa Catarina, Brazil

Abstract: The objective of this work was to characterize the productive and qualitative performances of 11 clones of 'Bordô' grape (Vitis labrusca) destined to wine and juice production, in the region of Vale do Rio do Peixe, in the state of Santa Catarina, Brazil. The experiment was carried out in the 2011, 2012, 2014, and 2015 crop seasons. The analyzed yield components were: number of clusters per vine, yield, cluster weight, accumulated yield, and alternate bearing index. The analyzed morphological characteristics of clusters were: number of berries per cluster, berry diameter, cluster compactness index, and cluster length. In order to assess grape quality, the following parameters were analyzed: soluble solids (SS), pH, titratable acidity (TA), SS/TA ratio, total anthocyanins, and total polyphenols. The 'Bordô' grape clones 13 and 16 ('Paco' and 'Bocaina') are the most suitable ones for cultivation in the wine producing region of Vale do Rio do Peixe, as they show the highest yields, production stability, and grapes with adequate quality for wine and juice elaboration.
Object Extraction via Stereo Matching and GrabCut

We propose a disparity refinement algorithm for stereo matching that can be used for foreground object extraction. Depth information obtained by stereo matching is useful for separating objects but usually has less accuracy in object boundaries, due to occlusions between different views. This artifact makes it hard to extract correct object boundaries from images. Our algorithm refines the disparity values around object boundaries by aligning the input color image and the disparity map. We also incorporate the obtained depth information into the GrabCut method for foreground/background segmentation. Experimental results show that accurate boundaries between foreground and background objects can be obtained by our approach.
PHYSICAL REVIEW B 100 , 045152 ( 2019 ) Observation of two collapsed phases in CaRbFe 4 As

Ryan L. Stillwell,1 Xiangfeng Wang,2 Limin Wang,2 Daniel J. Campbell,2 Johnpierre Paglione,2,3 Samuel T. Weir,1 Yogesh K. Vohra,4 and Jason R. Jeffries1 1Lawrence Livermore National Laboratory, Livermore, California 94550, USA 2Center for Nanophysics and Advanced Materials, Department of Physics, University of Maryland, College Park, Maryland 20742, USA 3Canadian Institute for Advanced Research, Toronto, Ontario, Canada, M5G 1Z8 4Department of Physics, University of Alabama at Birmingham, Birmingham, Alabama 35294, USA
5B.12 A CEILING AND VISIBILITY PREDICTION SYSTEM SUITABLE FOR ANTARCTIC FLIGHT OPERATIONS

Aviation forecasts of ceiling and visibility are of vital importance to the aviation community worldwide, with pilots relying on these forecasts to inform them of the landing conditions expected at their destination. These forecasts become especially critical for flights into remote locations with rapidly changing weather conditions, primitive aircraft navigation systems, and few divert landing options (e.g., Antarctic research stations). A ceiling forecast gives the height of the cloud base above the runway and a visibility forecast gives the visual range along the runway. Both are key components of Terminal Aerodrome Forecasts (TAFs) issued four times per day by operational forecasters. Several studies have shown that 3-hour and 6-hour ceiling and visibility forecasts are generally not better, and often worse than persistence (Zurndorfer et al. 1979; German and Hicks 1981; Goldsmith 1993). This performance is generally attributed to the difficulties in predicting cloud cover. In a more recent study, Dallavalle and Dagostaro (1995) found no signs of improvement in recent years for 6-hour ceiling and visibility forecasts. If TAF ceiling and visibility forecasts can be improved, this advancement would directly influence both flight safety and efficiency. U.S. Antarctic Program forecasters issue TAFs for research stations (e.g. McMurdo and South Pole) and a large number remote field camps four times per day (0300, 0900, 1500 and 2100 UTC). For each TAF location, a forecaster manually analyzes the available data and generates the forecasts. The amount of relevant data available for individual TAF locations generally is highly variable. TAFs generated for research stations and remote field camps not only provide critical information to pilots, but also play a key role in the near-term planning of flight operations. This paper describes an objective aviation ceiling and visibility forecast system, and the procedures necessary to modify this system to generate TAF forecast parameters at Antarctic research stations and remote field camps. Because of local climate differences, unique terrain factors, and widely varying data coverage and quality associated with each TAF location, a unique, customized algorithm must be developed for each location.
Title: The experience of being a psychiatric nurse in South Africa: a qualitative systematic review

The purpose of the study was to summarize the experiences of African psychiatric nurses in their workplace by examining the findings of existing qualitative studies. Eleven studies published in English, Portuguese, and Spanish, between 1998-2016, were included that explored psychiatric nurses’ experiences in Africa. After metaaggregation, five key findings were identified: a) organization and management;
Classification of Anthurium flowers using combination of PCA , LDA and support vector machine

Two main steps in object recognition systems involve feature representation and classification. In this study, the combination of principal components analysis (PCA), linear discriminant analysis (LDA) and support vector machine (SVM) approaches were used to develop a cultivar classification system for Anthurium flower, which PCA, LDA, and SVM were applied for data reduction, feature extraction, and classification, respectively. The algorithm was tested on a database of Anthurium flower images, which included the images of 20 cultivars of the flower with different sizes, and little variations in angles of rotation (from –π/12 to π/12) that flowers are placed under the camera, and lighting conditions. Results were evaluated from the two points of view of classification accuracy and computation time, and the algorithm had remarkable results when trained using suitable multi-class SVM classifier features, as it is possible to increase the classification accuracy up to 99.5% using an RBF kernel function and Sparse random multi-class codding method. Cultivar recognition of flowers is an important step for subsequent flower real-time grading tasks and such algorithms could be used for these procedures.
Optical Security and Authentication using Nanoscale and Thin Film structures

Authentication of encoded information is a popular current trend in optical security. Recent research has proposed production of secure unclonable ID tags and devices with the use of nanoscale encoding and thin film deposition fabrication techniques which are nearly impossible to counterfeit but can be verified using optics and photonics instruments. Present procedures in optical encryption provide secure access to the information and these techniques are improving daily. Nevertheless, a rightful recipient with access to the decryption key may not be able to validate the authenticity of the message. In other words, there is no simple way to check whether the information has been counterfeited or not. Metallic nanoparticles may be used in the fabrication process because they provide distinctive polarimetric signatures that can be used for validation. The data is encoded in the optical domain that can be verified using physical properties with speckle analysis or ellipsometry. Signals obtained from fake and genuine samples are complex and can be difficult to distinguish. For this reason, machine learning classification algorithms are required in order to determine the authenticity of the encoded data and verify the security of unclonable nano particle encoded or thin film based ID tags. In this paper, we review recent research on optical validation of messages, ID tags, and codes using nano structures, thin films, and 3D optical codes. We analyze several case scenarios where optically encoded devices have to be authenticated. Validation requires the combined use of a variety of multi-disciplinary approaches in optical and statistical techniques and for this reason, the first five sections of this paper are organized as a tutorial. © 2016 Optical Society of America
Text Detection in Ancient Manuscripts Using Orientation-and Frequency-Signatures of the Texture

Text detection in ancient documents faces specific challenges: Due to the age of the materials and inappropriate storing conditions, the documents are degraded and stained, as well as the ink is partially faded out . Furthermore, fluctuating text lines, skewed text blocks, superimpositon of text elements – such as initials – or varying layouts are problems to cope with. Hence, a texture-based approach which exploits the fact that different kinds of textures have dissimilar distributions of orientations and frequencies is proposed. The main idea is to exploit the properties of the Auto-Correlation Function (ACF) to classify document areas. The ACF is computed in a local region with the aid of sliding windows of different sizes. Support Vector Machines are used to perform the classification task. The ap ­ proach proposed is applied to Glagolitic manuscripts from the 11th century. The evaluation is based on manually labeled ground truth and shows the accuracy of the features chosen, even when the method is applied to document pages that are different in writing style and line spacing to those in the training set.