Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure and Scalable System by integrating CP-ABE with Proxy

Data stored in the remote database should be kept in a secure and confidential manner it should not be accessed by any unauthorized user. Some changes are being made to the ABE (Attribute Based Encryption) Algorithm in order to decide the set of users to access the data. The already existing SemiTrusted authority can be changed to complete trusted authority by only keeping a track of the logs and not the data. It will also have the ability to revoke a particular user, hence adding more security.
High-power-factor single-phase switch clamped rectifier

This paper presents a high power factor rectifier based on neutral point switch clamped scheme. A control scheme of the proposed rectifier is proposed to draw a sinusoidal line current with nearly unity power factor, achieve balanced neutral point voltage and regulate DC bus voltage. An AC power switch is employed in the power circuit to generate three-level pulsewidth modulation (PWM) voltage on the AC terminal. Hysteresis current control scheme is used to track the line current in phase with mains voltage. The line current command is derived from a voltage controller and a phase-locked loop circuit. A capacitor voltage compensator is employed in the proposed control algorithm to achieve the balanced neutral point voltage. To investigate the effectiveness of the proposed control scheme, the experimental results based on a laboratory prototype circuit are performed.
Genetic variability, correlation and path analysis for yield and its component traits in restorer lines of rice

Twenty nine restorer lines of rice were evaluated for fourteen agro-morphological traits during Boro (irrigated rice) season of 2012-2013 at Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, and Bangladesh. Analysis of variance revealed significant differences among the restorer lines for all the traits studied.The phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV) for all the traits indicating the presence of little environmental influence in the phenotypic expression. Heritability estimate was found high for all the yield contributing traits. High heritability along with high genetic advance as per cent of mean was recorded for secondary branches per panicle followed by number of effective tillers, flag leaf area and panicle weight. Contrary, days to flowering and days to maturity showed high heritability coupled with low genetic advance as per cent of mean. Pearson correlation revealed grain yield had positive association with number of effective tillers per hill, panicle length, spikelet fertility, flag leaf area, plant height and thousand grain weights. Mentioned characters also found positive association with yield in both genotypic and phenotypic level. Spikelet fertility, number of secondary branches per panicle, thousand grain weights and number of effective tiller possessed higher positive direct effect on grain yield. It indicated the importance of these traits as selection criteria of yield improvement in hybrid rice programme. Bangladesh J. Agril. Res. 44(2): 291-301, June 2019
A Survey on Detection and Prevention of Cross-Site Scripting Attack

In present-day time, securing the web application against hacking is a big challenge. One of the common types of hacking technique to attack the web application is Cross-Site Scripting (XSS). Cross-Site Scripting (XSS) vulnerabilities are being exploited by the attackers to steal web browser’s resources such as cookies, credentials etc. by injecting the malicious JavaScript code on the victim’s web applications. Since Web browsers support the execution of commands embedded in Web pages to enable dynamic Web pages attackers can make use of this feature to enforce the execution of malicious code in a user’s Web browser. The analysis of detection and prevention of Cross-Site Scripting (XSS) help to avoid this type of attack. We describe a technique to detect and prevent this ki nd of manipulation and hence eliminate Cross-Site Scripting attack.
Recombinant Expression of Aldehyde Dehydrogenase 2 (ALDH2) in Escherichia coli Nissle 1917 for Oral Delivery in ALDH2-Deficient Individuals

Turning red after consuming alcohol may seem like a mere social inconvenience. Yet, this flushing response is caused by an accumulation of acetaldehyde, a carcinogenic intermediate of alcohol metabolism. Aldehyde dehydrogenase 2 (ALDH2) deficiency, the result of a point mutation, produces a less efficient ALDH2. The resulting accumulation of acetaldehyde greatly increases the risk of developing esophageal and head and neck cancers. In this study, we produced recombinant ALDH2 in the probiotic E. coli Nissle 1917, which successfully reduces acetaldehyde levels in simulated oral conditions. Packaged in a hard candy, the ALDH2-probiotic would remain in the mouth to specifically target salivary acetaldehyde. Using mathematical modeling, we also determined how much recombinant ALDH2 is needed to reduce elevated acetaldehyde levels. Financial Disclosure This work was funded by Taipei American School. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests The authors have declared that no competing interests exist. Ethics Statement N/A Data Availability Yes – all data are fully available without restriction. Sequences for the plasmids used in this study are available through the Registry of Standard Biological Parts. Links to raw data are included in Supplementary Information.
End-to-end bandwidth estimation algorithms for Westwood TCP congestion control

Westwood TCP improves efficiency of classic TCP congestion control by introducing an innovative end-to-end bandwidth estimation algorithm. It leaves unchanged the probing phase of classic TCP but it substitutes the multiplicative decrease phase with an adaptive decrease phase, which sets the control windows by taking into account the bandwidth estimate. We show that bunched ACKs can heavily affect the bandwidth estimate and therefore it is necessary to implement an antiACK compression algorithm to properly filter out their effects. Moreover, a comparison of time-invariant and time-varying discrete filters to be used after the antiACK compression algorithm is developed.
FLOW IN POROUS MEDIA WITH SLIP BOUNDARY CONDITION

Endpoint relative permeabilities larger than one (kr > 1) for 2-phase flow in porous rock samples have been reported several times in literature. This holds in particular when the non-wetting phase is the majority phase and the wetting phase is present only as thin wetting films covering the rock surface. Cases where kr > 1 were debated over many years and there are reports in the literature indicating that often data is re-normalized such that kr ≤ 1 since it is often suspected as a measurement error. In this presentation we show that there is a real physical explanation for the effect of kr > 1. We draw an analogy between this observation and a possible slip-boundary condition. For comparison, flow in capillary tubes with a slip boundary condition is considered where hydrodynamic flow properties can be calculated analytically. The flux of the non-wetting phase is in many cases about 2-4 times higher when a small-amount of the wetting phase is present which would be compatible with slip lengths in the range of 100-700 nm in sandstone reservoirs. For a fixed slip length the flux in capillary tubes is increasing for decreasing capillary radius. This dependency is qualitatively found in our data indicating that slip could indeed be a plausible explanation for the observation of kr > 1. Thus we conclude that kr > 1 is a real effect and should be accepted as such. No data should be renormalized as it would not reflect the true flow properties of the rock.
Survey of Antibiotic-Resistant Bacteria Carried in the Oral Cavities of Migratory Songbirds in Western Kansas

Non-therapeutic use of antibiotics in the agriculture industry has contributed to the development of antibiotic-resistant bacteria, which subsequently have been detected in air, soil, and surface and ground water by other researchers. From these sources resistant bacteria can be spread throughout ecosystems and potentially enter human populations. Saliva samples were taken from 114 migratory birds at the Fort Hays State University banding site during fall 2006. Each sample was plated on brain heart infusion agar and incubated in order to allow for bacterial growth. Isolated bacterial colonies were then Gram stained and tested for resistance to vancomycin. Differential and selective media were used for preliminary colony screening. Twenty vancomycin-resistant Gram-positive bacterial isolates were putatively identified using partial sequencing of the 16S rRNA gene. Four different bacterial species (Staphylococcus Succinus AF004219, Staphylococcus saprophyticus, Enterococcus gallinarum, and Staphylococcus sp. EU196332) were identified from the twenty vancomycin-resistant isolates collected from nine bird species.
VLSI design of radial functions hardware generator for neural computations

Multidimensional radial functions (RFs) are widely used in several neural network schemes and may have interesting applications also in fuzzy logic based systems. Unfortunately their classical look-up table hardware implementation needs an external board that does not allow high speed real world applications. In this paper we introduce a new approach in which approximate RFs are completely generated in a very efficient way by fixed-point digital operators. The VLSI design of our general purpose RF hardware generator is discussed in detail, showing that it can be integrated in a wider neural system with little effort. Many RF generators (up to 100) can be integrated on a single chip giving rise to a computational system which is two orders of magnitude faster than classical look-up table implementations. The RF generator architecture has been used to implement the forward step of a radial basis function neural network in a single chip for a real world sensor application. The VLSI design of a network with 30 neurons and a cycle time of a few microseconds is investigated.
Using Bayesian techniques with item response theory to analyze mathematics tests

Due to the cost of a college education, final exams for college level courses fall under the category of “high-stakes” tests. An incorrectly measured assessment may result in students paying thousands of dollars toward retaking the course, scholarships being rescinded, or universities with students taking courses for which they are not prepared, as well as many other undesirable consequences. Therefore, faculty at colleges and universities must understand the reliability of these tests to accurately measure student knowledge. Traditionally, for large general education courses, faculty use common exams and measure their reliability using Classical Test Theory (CTT). However, the cut off scores are arbitrarily chosen, and little is known about the accuracy of measurement at these critical scores. A solution to this dilemma is to use Item Response Theory (IRT) models to determine the instrument’s reliability at various points along the student ability spectrum. Since cost is always on the mind of faculty and administrators at these schools, we compare the use of free software (Item Response Theory Command Language) to generally accepted commercial software (Xcalibre) in the analysis of College Algebra final exams. With both programs, a Bayesian approach was used: Bayes modal estimates were obtained for item parameters and EAP (expected a posteriori) estimates were obtained for ability parameters. Model-data fit analysis was conducted using two well-known chi-square fit statistics with no significant difference found in model-data fit. Parameter estimates were compared directly along with a comparison of Item Response Functions using a weighted version of the root mean square error (RMSE) that factors in the ability distribution of examinees
Phylogeography of Dendrolimus punctatus (Lepidoptera: Lasiocampidae): Population differentiation and last glacial maximum survival

Abstract Although the Masson pine moth, Dendrolimus punctatus, is one of the most destructive forest pest insects and is an endemic condition in China, we still do not fully understand the patterns of how its distribution range varies in response to Quaternary climatic oscillations. Here, we sequenced one maternally inherited mitochondrial gene (COI) and biparentally inherited nuclear data (ITS1 and ITS2) among 23 natural populations across the entire range of the species in China. A total of 51 mitotypes and 38 ribotypes were separately obtained using mtDNA and ITS1 data. Furthermore, significant phylogeographical structure (N ST > G ST, p < 0.01) were detected. The spatial distribution of mitotypes implied that two distinct groups existed in the species: one in the southwest distribution, including 10 locations, and the other located in the northeast region of China. It is suggested, therefore, that each group was derived from ancestors that occupied different isolated refugia during previous periods, possibly last glacial maximum. Mismatch distribution and Bayesian population dynamics analysis suggested the population size underwent sudden expansion, which is consistent with the results of ecological niche modeling. As a typical phytophagous insect, the history of population expansion was in accordance with the host plants, providing abundant food resources and habitat. Intraspecific success rate of barcoding identification was lower than interspecific ones, indicating a level of difficulty in barcoding individuals from different populations. However, it still provides an early insight into the pattern of genetic diversity within a species. OPEN RESEARCH BADGES This article has been awarded an Open Data and Open Materials. All materials and data are publicly accessible via the Open Science Framework at https://doi.org/10.5061/dryad.2df87g2. Learn more about the Open Practices badges from the Center for Open Science: https://osf.io/tvyxz/wiki.
GROWTH CHARACTERISTICS OF PSEUDOMONAS PUTIDA STRAINS AND EFFECT OF HUMIC SUBSTANCES ON CELL DENSITY DURING BATCH CULTIVATION

GEORGIEVA, T. , D. NIKOLOVA, Y. EVSTATIEVA, Ts. LICHEVA and V. SAVOV, 2014. Growth characteristics of Pseudomonas putida strains and effect of humic substances on cell density during batch cultivation. Bulg. J. Agric. Sci., Supplement 1: 82–86 In this work are studied three strains of genus Pseudomonas which were identifi ed as Pseudomonas putida. Growth characteristics of the three strains are studied using two types of broth media. The dynamics of the growth of the microorganisms were recorded by the changes in the optical density at 590 nm. There is a lot of research proving the positive infl uence of Humic substances on the development of plants in combination with soil isolates such as Pseudomonas putida. Humic fractions (humic acid, fulvic acid) at concentration of 0.1 g/l stimulated the growth of the soil bacteria strains acting as a regulator of the cell metabolism. In our experiments it is shown the infl uence of different concentrations of Humic fractions on the development of the test strains. It was found that there is a positive effect on the biomass density at the end of the batch cultivation at 2% as supplement of the media. For monitoring the biological effects of the studied strains is made test with Soybean and the seeds are treated with appropriate concentrations of the tested strains. This type of research is initial screening to monitor the activity of the strains, at all. It is used not only to monitor the germination of the seed but also for the entire development of the plants.
C-pruner: an improved instance pruning algorithm

Instance-based learning faces the problem of deciding which instances could be discarded in order to save computation and storage costs. For large instance bases classifier suffers from large memory requirements and slow response. And present noisy instances may deteriorate the classification accuracy. This paper analyzes the strength and weakness of some of the existing algorithms for instance pruning, and propose an improved method C-Pruner. Experiments over real-world datasets verify C-pruner's superior to the existing methods in classification accuracy.
09. A comparison of testes size and sperm length between Polypedates megacephalus populations at different altitudes

Variation in temperature and breeding season length caused by altitude has long been considered a major influence on the evolution of life-history traits in amphibians. Here, we examined differences in reproductive investment (testes mass and sperm length) of male spot-legged treefrog (Polypedates megacephalus) from two altitudes (680 m and 1300 m above sea level) in Guizhou Province, western China. Relative testes size from the high-altitude population was larger than that of the low-altitude population, whereas sperm length exhibited a converse cline. Testes mass but not sperm length increased with body size at both altitudes. Our findings suggest that differences in reproductive traits between populations might result from differences in the level of sperm competition.
Double-layer stream scheduling scheme with QoS control for cluster video servers

Researchers have put more emphasis on stream-scheduling policies to build high performance video servers. But the most important aim of these traditional stream-scheduling schemes is to improve the resource utilization, such as memory, network bandwidth and CPU, to maximize the number of concurrent streams. These schemes did not consider the QoS needs of video streaming or described the QoS parameter weakly, so the average qualities of media streams have no guarantees when the number of media streams is very large. In this paper, we propose a new two-layer stream-scheduling scheme with QoS control for cluster video servers. We first propose new definitions for video streams with the consideration of QoS and then describe the scheme of how to schedule video streams from two layers. The target of this scheme is to improve the average QoS of all streaming tasks and to obtain large number of scheduled video streams.
The Research of Chinese Short-text Classification Based on Domain Keyword Set Extension and HowNet

To implement feature extension of short text and improve short text classification performance, this paper extracts the high frequency words and topic core words of each class of the training set as domain keyword set based on two different feature granularity, which are keyword and latent topic, and derives the topic probability distribution of the test text using LDA model, while some topic probability is greater than a certain threshold, extends the keywords of the topic into the testing text. Calculate the semantic similarity of the test text and the domain keyword set for each category by using HowNet. Experimental results show that the method proposed in this paper can effectively improve the short-text classification performance. Keywords—short-text classification, keyword set, LDA, feature extension, HowNet
Predicting breeding value of body weight at 6-month age using Artificial Neural Networks in Kermani sheep breed

The present study aimed to apply artificial neural networks to predict the breeding values of body weight in 6-month age of Kermani sheep. For this purpose, records of 867 lambs including lamb sex, dam age, birth weight, weaning weight, age at 3-month (3 months old), age at 6-month (6 months old) and body weight at 3 months of age were used. Firstly, genetic parameters of the animals were estimated using ASReml software. The data was then pre-processed for using in MATLAB software. After initial experiments on the appropriate neural network architecture for body weight at 6-month age, two networks were examined. A feed-forward backpropagation multilayer perceptron (MLP) algorithm was used and 70% of all data used as training data, 15% as testing data and 15% as validating data, to prevent over-fitting of the artificial neural network. Results showed that the both networks capable to predict breeding values for body weight at 6 month-age in Kermani sheep. It can be concluded that artificial neural network has a good ability to predict growth traits in Kermani sheep with an acceptable speed and accuracy. Therefore, this network, instead of commonly-used procedures can be used to estimate the breeding values for productive and reproductive traits in domestic animals.
Architectural support for irregular programs and performance monitoring for heterogeneous systems

Since the advent of heterogeneous computing a large number of applications have been ported to utilize heterogeneous systems. Data parallel applications have mapped their computation to the large numbers of cores in heterogeneous systems and reported large performance improvements. However, the programming APIs targeting heterogeneous systems require explicit data movement and thread management by the application developer. Low level programming models such as OpenCL complicate the performance optimization of closely coupled applications executing on heterogeneous systems. Closely coupled applications refers to computational problems with frequent communication between the host and the device, where computation carried out on the host and device affect each other. Developing architectural support for efficient host device interaction in closely coupled applications is an open problem in heterogeneous systems which if addressed can enable new application spaces for heterogeneous systems, simplify development and improve performance. This thesis proposes architectural enhancements to the profiling and workgroup scheduling subsystems of heterogeneous devices. The profiling and workgroup scheduling subsystems have been augmented with a resource known as the Offload Control Unit(OCU). The OCU enables performance monitoring of compute units with throughput counters. Throughput counters provide utilization information of compute units and the performance knowledge generated is utilized to improve execution performance for priority and datadriven workloads. Throughput counters and the software profiling subsystems result in a runtime that allows performance monitoring, profiling and specializations of applications built using heterogeneous computational pipelines. The scheduling capabilities proposed enable utilization of heterogeneous systems for workloads with QOS and non-homogeneous workgroup distributions. This thesis also proposes a benchmark suite for heterogeneous systems where flexibility in behavior is a primary guiding design choice. The benchmark suite has led to the construction of application features to model benchmark behavior. The features have been applied to study application behavior on different heterogeneous systems at different layers of abstraction. The benchmarks and the application classification methodology enables study of behavior of heterogeneous architectures across applications or different behaviors seen within the same application.
A distributed solution to namenode failure in the hadoop distributed file system

Hadoop is a set of utilities and frameworks for the development and storage of distributed applications in cloud computing, the core component of which is the Hadoop Distributed File System (HDFS). NameNode is a key element of its architecture, and also its “single point of failure”. To address this issue, we propose a replication mechanism that will protect the NameNode data in case of failure. The proposed solution involves two distinct components: the creation of a BackupNode cluster that will use a leader election function to replace the NameNode, and a mechanism to replicate and synchronize the file system namespace that is used as a recovery point.