Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular and Expression Analysis of Cowpea Trypsin Inhibitor (CpTI) Gene in Transgenic 'Elaeis guineensis' Jacq Leaves

Cowpea trypsin inhibitor (CpTI) has been reported to have insecticidal properties against a wide range of insects. An 8year-old insect resistant oil palm, Elaeis guineensis Jacq. variety Tenera assigned as CpTI P8 was the first transgenic oil palm tree generated by the co-transformation of pDM 402 and pCAMBIA 1301 plasmids into the immature embryos of the oil palm via particle bombardment. PCR analyses had confirmed that 100% of the tested CpTI P8 frond leaves and root tissue genomic samples showed the presence of the CpTI transgene. The partial pDM 402 expression cassette consisting of the actin promoter sequence ( Act1-5’ ), the whole CpTI coding sequence and the Nos-3’ terminator sequence was fully recovered from the CpTI P8 genome using the Act1F1/NosTR1 primer pair in subsequent PCR analysis. Moreover, Southern blotting analysis showed the presence of two hybridized fragments, 0.96 kb and 1.2 kb in size in the Bam HI-digested genomic DNA and also demonstrated the stable integration of the transgene into the CpTI P8 genome. The amplification of a 425 bp RT-PCR product using the CpTI gene-specific primer pair has clearly implicated the expression of CpTI transcript. Quantitative study on the expression of CpTI gene was carried out using SYBR Green Quantitative Real Time-Polymerase Chain Rection (QRT-PCR) assay and revealed a remarkably higher expression of CpTI in the CpTI P8 tree compared to non-transformed oil palm tree. Together, these data have proven the successful gene transfer and a 7-fold increase in CpTI transcript accumulation in the leaves of CpTI P8 tree which could ultimately confer greater resistance against insect pest invasion. Interestingly, the data in present study also suggest that a simple integration pattern contributes significantly to the stability and high transgene expression in transgenic plants.
SYSTEM LEVEL ASSERTION-BASED VERIFICATION ENVIRONMENT FOR PCI/PCI-X AND PCI-EXPRESS

Circuit design becomes more and more complicated in system on chip (SoC) due to the increasing capacity of integrating gates into one chip. Verification has taken a major portion of non-recurrent engineering (NRE) cost. Traditional register transfer level (RTL) verification method could take about 60% work of the entire design cycle. System level verification methodology can reduce the time to write a testbench and increase the functional coverage. In this paper, we developed a verification system for PCI/PCI-X and PCI-Express protocols. This system verifies the functionality of a protocol and manages all system resources. Besides, it provides cross-protocol checking mechanism to analyze the behaviors between different protocols and estimates the performance of the design under test.
Utilizing Biomimetic Image Processing to Detect the Road Edge of Off-road Terrain

Soldiers incurred injuries or even lost their lives due to rollovers while driving military vehicles. A recent report identified that the one cause of rollovers is the driver’s inability to assess rollover threats, such as a cliff, soft ground, water, or a culvert on the passenger side of the vehicle, due to the vehicle’s width. To reduce the number of rollover accidents, a road-edge detection and driver warning system is being developed to detect the rollover threats on the passenger side of the vehicle and warn the driver. This system utilizes a unique, ultra-fast image processing algorithm based on the neurobiology of insect vision and the study of fly vision. The system consists of a camera system, a long-range, planar laser scanner, a processing module in which a biomimetic image processor detects edges present in the images in real-time, and a Driver Vision Enhancer (DVE) which displays the current road image, detected boundaries, and road side terrain steepness.
Study and Analysis of Data Sharing and Communication with Multiple Cloud Environments

Cloud storage enables users to access their data anywhere and at any time. It achieves the dream of getting computing, storage and communication resources as easy as to get water and electricity. All resources can be gotten in a plug-andplay way. It has the advantages of high scalability, ease-ofuse, cost-effectiveness and simplifying infrastructure planning etc. However, the emerging use of cloud storage has led to the problem of verifying that storage server indeed store the data. When users store their data in cloud storage, they mostly concern about whether the data is intact. In this paper we propose an efficient approach for making cloud data management and sharing in a secure manner. For this we mainly concentrate on six different security majors which are Confidentiality, Availability, Integrity, Possession, Authenticity and Utility. We implement these phenomena in java. We also present a graph comparison to show the betterment of our result.
2012 International Conference on Information Management, Innovation Management and Industrial Engineering

On the basis of the technology acceptance model(T AM), this paper builds a research model of users' use of micro-blogs. Testing results of the model's hypotheses reveal that TAM is still valid for micro-blog adoption. Through the analysis of related data, this study confirms that the usefulness, usability, flow experience and convenience of blogs will directly or indirectly affect the users' willingness to use micro-blogs. Among them, the usefulness has the greatest influence while sense of identity has no impact on users' attitudes toward the use of micro-blogs and their willingness to use micro-blogs.
A new model of stacked transformers considering skin and substrate effects

A compact model for 1:1 stacked transformers fabricated in silicon IC technology has been developed. The skin and substrate effects are taken into account in the model. The model parameters are extracted from the layout and the process technology specifications. The proposed model is verified by measured S-parameters up to 40 GHz. The simulated S-parameters, quality factor Q, coil inductance and magnetic coupling coefficient, all show excellent agreement with measured data over the entire frequency range.
Integration of Motion Responses Underlying Directional Motion Anisotropy in Human Early Visual Cortical Areas

Recent imaging studies have reported directional motion biases in human visual cortex when perceiving moving random dot patterns. It has been hypothesized that these biases occur as a result of the integration of motion detector activation along the path of motion in visual cortex. In this study we investigate the nature of such motion integration with functional MRI (fMRI) using different motion stimuli. Three types of moving random dot stimuli were presented, showing either coherent motion, motion with spatial decorrelations or motion with temporal decorrelations. The results from the coherent motion stimulus reproduced the centripetal and centrifugal directional motion biases in V1, V2 and V3 as previously reported. The temporally decorrelated motion stimulus resulted in both centripetal and centrifugal biases similar to coherent motion. In contrast, the spatially decorrelated motion stimulus resulted in small directional motion biases that were only present in parts of visual cortex coding for higher eccentricities of the visual field. In combination with previous results, these findings indicate that biased motion responses in early visual cortical areas most likely depend on the spatial integration of a simultaneously activated motion detector chain.
Diagnosis of human preimplantation embryo viability.

BACKGROUND Transfer of more than a single embryo in an IVF cycle comes with the finite possibility of a multiple gestation. Even a twin pregnancy confers significant risk to both mother and babies. The move to single-embryo transfer for all patients will be greatly facilitated by the ability to quantify embryo viability. Developments in time-lapse incubation systems have provided new insights into the developmental kinetics of the human preimplantation embryo. Advances in molecular methods of chromosomal analysis have created platforms for highly effective screening of biopsied embryos, while noninvasive analysis of embryo physiology reveals more about the embryo than can be determined by morphology alone. METHODS Recent developments in time-lapse microscopy, molecular karyotyping and in proteomics and metabolomics have been assessed and presented here in a descriptive review. RESULTS AND CONCLUSIONS New algorithms are being created for embryo selection based on their developmental kinetics in culture, and the impact of factors such as patient etiology and treatment are being clarified. Potential links between morphokinetic data and embryo karyotype are being elucidated. The introduction of new molecular methods of determining embryo chromosomal complement is proving to be accurate and reproducible, with the future trending toward CGH arrays or next generation sequencing as a rapid and reliable means of analysis, that should be suitable for each IVF clinic to adopt. A relationship between embryo metabolism and viability is established and is now being considered together with morphokinetic data to create more robust algorithms for embryo selection. Microfluidic devices have the capacity and potential to be used in human IVF clinics for the routine diagnosis of embryo biomarkers.
Trainability of Muscular Activity Level during Maximal Voluntary Co-Contraction: Comparison between Bodybuilders and Nonathletes

Antagonistic muscle pairs cannot be fully activated simultaneously, even with maximal effort, under conditions of voluntary co-contraction, and their muscular activity levels are always below those during agonist contraction with maximal voluntary effort (MVE). Whether the muscular activity level during the task has trainability remains unclear. The present study examined this issue by comparing the muscular activity level during maximal voluntary co-contraction for highly experienced bodybuilders, who frequently perform voluntary co-contraction in their training programs, with that for untrained individuals (nonathletes). The electromyograms (EMGs) of biceps brachii and triceps brachii muscles during maximal voluntary co-contraction of elbow flexors and extensors were recorded in 11 male bodybuilders and 10 nonathletes, and normalized to the values obtained during the MVE of agonist contraction for each of the corresponding muscles (% EMGMVE). The involuntary coactivation level in antagonist muscle during the MVE of agonist contraction was also calculated. In both muscles, % EMGMVE values during the co-contraction task for bodybuilders were significantly higher (P<0.01) than those for nonathletes (biceps brachii: 66±14% in bodybuilders vs. 46±13% in nonathletes, triceps brachii: 74±16% vs. 57±9%). There was a significant positive correlation between a length of bodybuilding experience and muscular activity level during the co-contraction task (r = 0.653, P = 0.03). Involuntary antagonist coactivation level during MVE of agonist contraction was not different between the two groups. The current result indicates that long-term participation in voluntary co-contraction training progressively enhances muscular activity during maximal voluntary co-contraction.
Molecular and phylogenetic analysis of Anaplasma spp. in sheep and goats from six provinces of China

Members of the genus Anaplasma are important emerging tick-borne pathogens in both humans and animals in tropical and subtropical areas. Here, we investigated the presence of Anaplasma spp. in 621 sheep and 710 goats from six provinces of China. Polymerase chain reaction (PCR) and DNA sequencing were conducted to determine the prevalence of Anaplasma (A.) phagocytophilum, A. ovis and A. bovis targeting the 16S ribosomal RNA or the major surface protein 4 gene. PCR revealed Anaplasma in 39.0% (240/621) of sheep and 45.5% (323/710) of goats. The most frequently detected species was A. ovis (88/621, 14.2% for sheep; 129/710, 18.2% for goats), followed by A. bovis (60/621, 9.7% for sheep; 74/710, 10.4% for goats) and A. phagocytophilum (33/621, 5.3% for sheep; 15/710, 2.1% for goats). Additionally, eight sheep and 20 goats were found to be infected with three pathogens simultaneously. DNA sequencing confirmed the presence of these three Anaplasma species in the investigated areas, and phylogenetic analysis indicated that there was geographic segregation to a certain extent, as well as a relationship between the host and cluster of A. ovis. The results of the present study provide valuable data that helps understand the epidemiology of anaplasmosis in ruminants from China.
Cooperative Diversity with Partially Cooperative Relays

Wireless relays extend coverage, improve spectral efficiency, and enhance reliability and rates of wireless communication systems. In this work, we introduce a three-hop cooperative system model comparing to conventional dual-hop cooperative systems, assuming all terminals can only share a part of power for cooperation and have only one antenna for size limitation. Applying distributed space time block coding to this system model, system performance is greatly improved even when relays contribute a little power to cooperation, which is verified by simulation results.
Decoding Interleaved Gabidulin Codes and Ciphertext-Security for GPT variants

In this paper we view interleaved Gabidulin codes and describe how to correct errors up to a rank equal to the amount of redundancy of the code with high probability. We give a detailed proof for our estimation of the probability of correct decoding. In a second part, we view the application to variants of the GPT cryptosystem. For GGPT this leads to an efficient attack on the remaining secure instances, whereas it allows to derive at least partial information of the plaintext in the case of RRC-GPT.
A malleable control structure for softwired user interfaces

Rather than existing as a computer input device with a rigid shape, a predetermined selection of controls and a fixed layout, a malleable control structure is made up of a set of controls that can be freely arranged on control areas. The structure is physically adaptable by users during operation: control areas and controls can be introduced, organized and removed to suit interaction requirements and personal preference.We present an implementation of a malleable control structure called VoodooIO. Our design contributes a novel material -- the network substrate - that can be used to transform everyday surfaces into control areas, and the concept of implementing basic control units (such as buttons, sliders or dials) as ad hoc network nodes.VoodooIO does not constitute an application interface in itself. Like any input device, it only becomes concrete as an interface component in the context of a particular application. We introduce the concept of softwiring as a collection of techniques and practices that allow users to benefit from malleable control interfaces in a number of concrete scenarios of use.
Online Learning as Stochastic Approximation of Regularization Paths: Optimality and Almost-Sure Convergence

In this paper, an online learning algorithm is proposed as sequential stochastic approximation of a regularization path converging to the regression function in reproducing kernel Hilbert spaces (RKHSs). We show that it is possible to produce the best known strong (RKHS norm) convergence rate of batch learning, through a careful choice of the gain or step size sequences, depending on regularity assumptions on the regression function. The corresponding weak (mean square distance) convergence rate is optimal in the sense that it reaches the minimax and individual lower rates in this paper. In both cases, we deduce almost sure convergence, using Bernstein-type inequalities for martingales in Hilbert spaces. To achieve this, we develop a bias-variance decomposition similar to the batch learning setting; the bias consists in the approximation and drift errors along the regularization path, which display the same rates of convergence, and the variance arises from the sample error analyzed as a (reverse) martingale difference sequence. The rates above are obtained by an optimal tradeoff between the bias and the variance.
Enhancing search result clustering with semantic indexing

Semantic search results clustering is one of the most wanted functionalities of many information retrieval systems including general web search engines as well as domain specific article portals or digital libraries. It may advice the users to describe the need for information in a more precise way. In this paper, we discuss a framework of document description extension which utilizes domain knowledge and semantic similarity. Our idea is based on application of Tolerance Rough Set Model, semantic information extracted from source text and domain ontology to approximate concepts associated with documents and to enrich the vector representation. Some document representation models including document meta-data, citations and semantic information build using MeSH ontology. We compare those models in a search result clustering problem over the freely accessed biomedical research articles from Pubmed Cetral (PMC) portal. The experimental results are showing the advantages of the proposed models.
A NEW SEMI-FRAGILE WATERMARKING SCHEME FOR AUTHENTICATION AND TAMPER LOCALIZATION IN REMOTE SENSING IMAGES

Recently, remotely sensed satellite images are a crucial source of data for geographical information systems and are used in many applications.The process of detecting any illegitimate alteration on the content of these images becomes a new challenge for content owners and distributors. To overcome this challenge, digital watermarking techniques are developed to authenticate the remote sensing (RS) images. These techniques are based on embedding a watermark into the image to produce an authenticated version of the image so that any attempts to change the content of the authenticated image will result a change in the watermark itself. In this paper, a new semi-fragile watermarking technique for image authentication is proposed based on integer wavelet transform (IWT). The watermark is decomposed into its bit-planes which are inserted into the bit-planes of the IWT details sub-bands of the RS image color bands. Experimental results show a good invisibility of the proposed scheme. Moreover, it is robust to some image processing attack such as JPEG compression, Gaussian noise adding and filtering, but it is sensitive to malicious attack such as cut and paste. The scheme also can detect the tempering region exactly.
The 'savings gap' of European Corporations: a first look at the available data

Federico Galizia is an Economist at the EIB. Thomas Steinberger is a Ph.D. candidate in Economics at the European University Institute in Florence. He collaborated to the initial phase of the project. ECONOMIC AND FINANCIAL REPORTS are preliminary material circulated to stimulate discussion and critical comment. Quotation of material in the Reports should be cleared with the author or authors. The views expressed are those of the individual authors, and do not necessarily reflect the position of the EIB. Individual copies of the Reports may be obtained free of charge by writing to the above address or on-line from www.eib. org/efs/pubs.htm
Non-isomorphic 3D rotational techniques

This paper demonstrates how non-isomorphic rotational mappings and interaction techniques can be designed and used to build effective spatial 3D user interfaces. In this paper, we develop a mathematical framework allowing us to design non-isomorphic 3D rotational mappings and techniques, investigate their usability properties, and evaluate their user performance characteristics. The results suggest that non-isomorphic rotational mappings can be an effective tool in building high-quality manipulation dialogs in 3D interfaces, allowing our subjects to accomplish experimental tasks 13% faster without a statistically detectable loss in accuracy. The current paper will help interface designers to use non-isomorphic rotational mappings effectively.
Smart home control module as IOT/IOE learning

This paper describes how to use Smart Home control module and their modules to learning IOT/IOE. As Smart Home control module was used Arduino board. Such control module is controlled via mobile device running Android and iOS or using web application. Control module was implemented into home environment. Conclusion summarizes advantages and disadvantages of designed module.
Time-dependent Force-free Pulsar Magnetospheres: Axisymmetric and Oblique Rotators

Magnetospheres of many astrophysical objects can be accurately described by the low-inertia (or "force-free") limit of MHD. We present a new numerical method for the solution of equations of force-free relativistic MHD based on the finite-difference time-domain approach, with a prescription for handling the spontaneous formation of current sheets. We use this method to study the time-dependent evolution of pulsar magnetospheres in both aligned and oblique magnetic geometries. For the aligned rotator, we confirm the general properties of the time-independent solution of Contopoulos et al. For the oblique rotator, we present the three-dimensiional structure of the magnetosphere and compute, for the first time, the spin-down power of pulsars as a function of the inclination of the magnetic axis. We find that the pulsar spin-down luminosity is L ≈ (μ2Ω/c3)(1 + α), where μ is the stellar dipole moment, Ω* is the rotation frequency, and α is the magnetic inclination angle. We also discuss the effects of current sheet resistivity and reconnection on the structure and evolution of the magnetosphere.
Sleepless in Macao: Factors Associated with Sleep Behaviour and Sleep Duration among Children in Public and Private Schools

To evaluate the associations of socioeconomic class (middle and lower) with sleep behaviour, two public and two private primary schools were randomly selected in three district areas (out of seven) in Macao, China. The sleep be- haviour of these children (primary grades one to six) was examined with a validated, locally developed questionnaire. In all, 756(83.3%) of the 908 questionnaires were completed and returned, 330(43.7%) for girls and 426(56.3%) for boys. Only 142(19.9%) children reached the recommended standard of 10 hours of daily sleep on weekdays that were not during an exam period. Thus, 571(80.1%) did not get the required sleep (x 2 = 9.748; degrees of freedom (df) = 1; P = 0.002). The situation was even worse in exam periods during weekdays, with 626 (87.6%; x 2 = 19.406; df = 1; P = 0.000) children not obtaining 10 hours of sleep during that time. These results show that improper sleep behaviour in Macao children is associ- ated with stressed school workload, bedtime difficulty, and environmental factors. Early intervention on these factors might help the children to establish adequate sleep habits.
INDEPENDENT SPEAKER IDENTIFICATION USING AUTOMATIC ACOUSTIC SEGMENTATION

This paper describes an acoustic class dependent technique for text independent speaker identification on very short utterances. The technique is based on maximum likelihood estimation of a Gaussian mixture model representation of speaker identity. Gaussian mixtures are noted for their robustness as a parametric model and their ability to form smooth estimates of rather arbitrary underlying densities. Speaker model parameters are estimated using a special case of the iterative Expectation-Maximization (EM) algorithm [4], and a number of techniques are investigated for improving model robustness. The system waa evaluated using a 12 reference speaker population from a conversational speech database, and achieved 89% average text independent speaker identification performance for a 1 second test utterance length.