Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey on Secure and Authorized Deduplication Techniques using Hybrid Cloud

: Presently a day’s utilization of distributed computing is expanding quickly. Distributed computing is vital in the information sharing application. Every day utilization of cloud is expanding. Be that as it may, the issue in distributed computing is each day information transferred on the cloud, so expanding comparative information in cloud. Along these lines we can decrease the measure of comparable information in cloud utilizing the information DE duplication strategy. These system primary point is that expel copy information from cloud. It can likewise spare storage room and data transfer capacity. Our proposed technique is to uproot the copy information however in which client have relegated some benefit as per that duplication check. Cloud DE duplication is accomplish utilizing the cross breed cloud building design. We proposed system is more secure and expends less assets of cloud. Likewise we have demonstrated that proposed plan has insignificant overhead in copy evacuation when contrasted with the ordinary DE duplication procedure.
Comparison of Potentials of Stem Cells Isolated from Tendon and Bone Marrow for Musculoskeletal Tissue Engineering

+Lui, P P Y; Rui, Y F;Ni M;Tan Q;Wong Y M;Lee Y W;Lee Y W;Chan L S;Chan, K M +Department of Orthopaedics and Traumatology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. The Hong Kong Jockey Club Sports Medicine and Health Sciences Centre, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. Stem Cell and Regeneration, School of Biomedical Science, The Chinese University of Hong Kong, Hong Kong SAR, China. 4 Department of Orthopaedics, Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China. The Department of Orthopaedics, The General Hospital of Chinese PLA, Beijing, China, 100853. pauline@ort.cuhk. edu.hk INTRODUCTION: Numerous studies have been conducted to evaluate the optimal cell source, biomaterial and microenvironment for musculoskeletal tissue engineering. No studies to date, however, have compared the potentials of tendon-derived stem cells (TDSCs) and bone marrowderived stem cells (BMSCs) as the optimal cell source for musculoskeletal tissue engineering. This study aimed to compare the proliferative capacity and multi-lineage differentiation potential of rat TDSCs and BMSCs in vitro. METHODS: TDSCs and BMSCs were isolated from 4-6-week-old male GFP (Green Fluorescent Protein) and wild type Sprague-Dawley rats. The clonogenicity and proliferative capacity of TDSCs and BMSCs were compared by colony-forming assay and Brdu assay, respectively. Their tenogenic differentiation potential was compared by the mRNA expression of tenogenic markers after treatment with connective tissue growth factor (CTGF) (25ng/ml) and ascorbic acid (25μM). Their osteogenic differentiation potential was compared by ALP cytochemical assay, ALP activity assay and Alizarin red S staining of calcium nodules after osteogenic induction with BMP-2 (100ng/ml). Their chondrogenic differentiation potential was compared by the mRNA expression of chondrogenic makers after chondrogenic induction. Figure 3. mRNA expression of (A) tenomodulin; (B) Col1A1 in TDSCs and BMSCs after treatment with CTGF and ascorbic acid. *p<0.05
Utilization of Different Basal Diets for Molt Induction in a Strain of Commercial Laying Hens

The objective of the study was to evaluate a nonfasting method for induced molting of laying hens by using different basal diets. An experiment was conducted using 300 H&N Brown hens (aged 95 wk ) randomly assigned to one of five treatment groups: group 1 (NC), which served as the non-molt control group, was provided with a layer ration and exposed to a 16:8 daylight:dark (L:D) photoperiod daily throughout the study, whereas groups 2 (BR), 3 (RB), 4 (C) and 5 (CM) were subjected to an induced molting program. Hens in the BR group were fully fed with a broken rice molt diet, whereas for 14 days, hens in the RB, C and CM groups received rice bran, corn mash and cassava mash molt diets, respectively. During the 2 wk molt period, all birds were exposed to an 8L:16D photoperiod and had access to drinking water at all times. Following the molting period, all hens were fed the layer ration and provided with 16 h of light per day, and production performance was measured for 20 wk. The CM treatment resulted in total cessation of egg production within 7 d. Egg production of hens in the BR, RB and C treatments all decreased to 3.7, 2.6 and 8.7%, respectively. Bodyweight loss ranged from 6.0 to 22.0%, with the highest value for the CM treatment. At the end of the molt period, no significant differences in the mortality rate, the ratio of heterophil to lymphocyte numbers and plasma cortisol concentrations were found among the experimental bird groups. No consistent differences were observed among the molt treatments throughout the 20 wk postmolt period for egg production, egg weight or egg quality. However, the peak of egg production of hens in the CM treatment reached a level of 70% of hen-day egg production, which was higher than those of the other treatments. In addition, during the early phase of the postmolt period, egg production and albumen quality of the CM treatment were significantly improved as compared to those of the control group. At week 2 of the postmolt period, the egg shell thickness of the CM treatment was significantly lower than that of the control group. The results indicated that feeding the cassava molt diet is an effective non-feed removal method for molting laying hens. However, the technique needs to be adjusted to improve egg production and egg shell quality.
Effects of Dietary Vitamin C on the Physiological Responses and Disease Resistance to pH Stress and Aeromonas hydrophila Infection of Megalobrama amblycephala

We evaluated the effect of vitamin C (Vit C) supplementation on the resistance of Megalobrama amblycephala to Aeromonas hydrophi1a infection under pH stress. Fish were randomly divided into six groups: a control group (fed with a basal diet) and five treatment groups (fed with basal diet supplemented with 33.4, 65.8, 133.7, 251.5 and 501.5 mg/kg Vit C, respectively). After 90 days, fish were exposed to combined stressors, first pH 9.5 followed by A. hydrophila infection. The results showed that 133.7 mg/kg vit C improved complement 4 (C4), anti-superoxide anion free aradical (ASAFER) and heat shock protein (HSP) 70 compared with the control group; and 251.5 mg/kg vit C enhanced complement 3 (C3), HSP60, HSP70 and HSP90 compared to the control group before stress. After pH stress and A. hydrophila infection, hemoglobin, ASAFER and HSP60, HSP70, HSP90 in the groups fed with 133.7 and 251.5 mg/kg vit C were still significantly higher, while serum cortisol in the group fed with 251.5 mg/kg vit C was lower compared to the control group 15 days after pH stress. The cumulative mortality of the control group was higher than that of the five treatment groups at 12, 24 h after A. hydrophila infection. The results of this study suggest that 133.7251.5mg/kg vit C in a diet could have potential to stimulate immune response, and enhance resistance against high pH stress and A. hydrophila infection of Wuchang bream.
Ethics and Praxiology as Technologies

Since moral codes contribute to shaping social conduct, their study fits certain branches of factual science. These are psychology and anthropology— particularly their social halves—sociology, politology, and history. This motley collection of disciplines dealing with morals may be called scientific ethics. It is a strictly descriptive discipline: its findings are testable and thus more or less true. Examples: the empirical study of the moral code of basic scientists, and of the emergence of moral norms in human development and evolution.
A combined dynamic economic emission dispatch and time of use demand response mathematical modelling framework

In this paper, we integrate a Demand Response (DR) program into the multi-objective dynamic economic emission dispatch (DEED) optimization problem. The resulting optimization problem is termed DR-DEED. The DR program is a time based program known as the Time of Use DR program. The DR program has been developed using the customers’ Price Elasticity Matrices, which models the customer behavior under different conditions. An interactive control strategy between utility and consumers is proposed for the combined DR-DEED model, which determines the optimal power to be generated by minimizing fuel, emissions, and DR costs and also the optimal price. The customer in light of the utility’s optimal price minimizes its electricity cost and optimally schedules power consumption. Obtained results indicate that DR programs are mutually beneficial to utility and consumers alike and can bring about desired demand reduction in the power system. VC 2015 AIP Publishing LLC. [http://dx.doi. org/10.1063/1.4928875]
Genetic and Phenotypic Correlations between Linear Type Traits and Milk Production Yields of Turkish Holstein Dairy Cows

The main objective of this study was to estimate the phenotypic and genetic correlations between 18 linear type traits and three production yields in the first lactation of Turkish Holstein dairy cows. In this study, 78 sires having at least 5 daughters and their 2721 daughters were used. Heritabilities ranged between 0.12 to 0.44. The phenotypic correlations between type traits and milk yield ranged from -0.31 to 0.29; -0.23 to 0.26 for fat yield and -0.29 to 0.25 for protein yield. Genetic correlations between linear type traits and milk yield ranged from -0.46 to 0.42; -0.41 to 0.42 for fat yield and -0.45 to 0.45 for protein yield. The high genetic correlations between angularity, udder depth, rear teat position and milk, fat and protein yields were 0.42, 0.40, 0.45; -0.46, -0.41, -0.45 and -0.46, -0.41, -0.45, respectively. In addition to high genetic correlations between these type of traits and low heritabilities recorded for rear udder height, body condition score, central ligament and locomotion traits were -0.77, 0.61, 0.65 and 0.59, respectively. The genetic correlations showed that higher yielding cows were more angular, have deeper udders, good rear teat position, high rear height, moderate body condition score, strong central ligament and long stride locomotion type traits. These results indicated that the opportunity of direct and indirect selection schemes for milk, fat and protein yields could be achievable within a national progeny-testing programme using these type traits within a selection index.
A Survey on Clustering High Dimensional Data Techniques

Dimension reduction is commonly defined as the process of mapping high-dimensional data to a lower-dimensional embedding. Applications of dimension reduction include, but are not limited to, filtering, compression, regression, classification, feature analysis, and visualization. We review methods that compute a point-based visual representation of high-dimensional data sets to aid in exploratory data analysis. The aim is not to be exhaustive but to provide an overview of basic approaches, as well as to review select state-of-the-art methods. The main objective of this research paper is to prove the effectiveness of high dimensional data analysis and different algorithm in the prediction process of Data mining. The approach made for this survey includes, an extensive literature search on published papers as well as text books in the application of Data mining in prediction. I have retrieved those articles by searching the data bases with the usage of the keywords “data mining and algorithm”. Titles of the articles were analysed by usage of association rules that analyse the most frequently used words. The main algorithm which were includes in this survey are decision tree, k-means algorithm, and association rules. Therefore an analysis of the different classes of available clustering techniques with big datasets may provide significant and useful conclusions. The proposed system is to study and analyse some of the popular existing clustering techniques and impact of dimensionality reduction on Big Data. The objective of the proposed model is to improve the performance of traditional H-K clustering and overcome the limitations such as high computational complexity and poor accuracy for high dimensional data by combining the three different approaches of clustering algorithm as subspace clustering algorithm and ensemble clustering algorithm with H-K clustering algorithm. Clustering high dimensional datasets is a monotonous task due to the curse of dimensionality. The main drawback of k means clustering is that the accuracy of the clusters fully depends on the selection of initial centroids. Initialization methods are suggested by researchers to improve the performance of k-Means clustering performances. But these methods do not provide adequate results for clustering high dimensional data. In this paper, a novel approach for clustering high dimensional data collected from the Facebook is proposed. Clustered Facebook data is used to find the closeness between two participants in the social network. Initially, the dimensions are reduced using modified Principal Component Analysis (PCA) called “Reduced Uncorrelated Attributes (RUA)”. Then the transformed dataset is used to find the initial seed using maximum-Average-Minimum (kMAM) method for k-means. The performance of the proposed method is analysed and the result shows that RUA with kMAM provides more accuracy than other methods.
An Analysis on the Performance of Tree and Trie Based Dictionary Implementations with Different Data Usage Models

Tree and Trie are the Abstract Data Types (ADTs) that provide efficient implementation of ordered dictionary. The performance of a data structure will depend on hardware capabilities of the computing devices such as RAM size, Cache memory size and even the speed of the physical storage media. Hence, an application which will be running on real or virtualized hardware environment certainly will have restricted access to memory and other resources of the real hardware. Further, the time taken for any operation on a data structure rely on the data usage model and the most significant operations/tests are very much depend on the size of the "character payload objects" which we use in dictionary like implementations. In this work, we do an analysis on the performance of Tree and Trie based Dictionary ADT Implementations with different data usage models. We consider data usage models such as a typical electronic dictionary with more than million of words or a typical electronic encyclopedia with large string data elements. In this work, we studied the performance of three popular Tree based Dictionary Implementations rbtree, googlebtree, stxbtree, and three Trie based Dictionary Implementations tommy-trie, tommy-trie-inplace, nedtrie under different hardware and software configurations. Among all, tommy trie is proved to be the best for character payload objects with 16 bytes and 4096 bytes. In some operations/tests googlebtree seems to be better. Our evaluation on different tree and trie structures shows tommy trie implementations perform well irrespective of size of application.
Effect of Arbuscular Mycorrhizal Fungus ( Glomus Mosseae ) and Soil Yeasts Interaction on Root Nodulation , N-Fixation and Growth of Faba Bean ( Vichia faba )

Interactions between the arbuscular mycorrhizal fungus (AMF) Glomus mosseae and two soil yeasts (Saccharomyces cerevisiae and Candida sake) and their effects on faba bean plants were studied in a pot experiment in sterile, phosphorus (P) deficient soil. These organisms interacted synergistically when added consecutively at 2-week intervals, where sporulation, root infection with G. mosseae and the populations of either soil yeast species were significant with dual inoculation, especially when soil yeast species were inoculated for two weeks prior to sowing. Plant shoot dry weight, uptake of nitrogen (N) and P by the shoots, as well as nodulation and nitrogenase activity of faba bean roots were improved by inoculation with either G. mosseae or the two soil yeast species. Soil yeast species S. cerevisiae was more effective than C. sake. Dual inoculation was more effective on growth, nutrition nodulation and nitrogenase activity than individual
Monotonicity of a Bayesian confirmation measure in rule support and confidence

In knowledge discovery and data mining many measures of interestingness have been proposed in order to reveal different characteristics of the discovered knowledge patterns. Among these measures, an important role is played by Bayesian confirmation measures, which express in what degree a piece of evidence (premise) confirms a hypothesis (conclusion). In this paper, we are considering knowledge patterns in form of “ if… then… ” decision rules with a fixed conclusion. We are investigating the question of monotonic relationship between a particular Bayesian confirmation measure on one side, and rule support and confidence, on the other side. We prove that rules which are optimal according to the confirmation measure, are included in the set of non -dominated rules with respect to both rule support and confidence.
Structural and electrical characterization of erbium oxide films grown on Si(100) by low-pressure metalorganic chemical vapor deposition

We report the structural and electrical properties of $Er_2O_3$ films grown on Si(100) in the temperature range 450-600 °C by low-pressure metalorganic chemical vapor deposition using Er(acac)3.phen, the phenanthroline adduct of erbium acetylacetonate, as the precursor. The film properties are correlated with the growth and processing conditions. The structural characterization reveals that films grown at lower temperatures are smooth, but poorly crystalline, whereas films grown at higher temperatures are polycrystalline. A dielectric constant in the range 8-20, a minimum total fixed oxide charge density $(N_f) of -1x10^1^0 cm^-2$, and a minimum hysteresis of 10 mV in the bidirectional capacitance-voltage characteristics are demonstrated.
Solar modulation of Northern Hemisphere winter blocking

The blocking response to the 11-year solar cycle is investigated for 44 winters (1955-1999) and stratified according to the level of solar activity and the phase of the Quasi-Biennial Oscillation (QBO). Several blocking features are modulated by solar activity, irrespective of the QBO phase, but the responses amplify under the QBO-west phases. Solar activity modulates the preferred locations for blocking occurrence over both Oceans, causing local frequency responses therein. Over the Pacific Ocean high/low solar activity induces an enhanced blocking activity over its eastern/western part. Atlantic blocking occurrence increases for both (high/low) solar phases, with a spatial dependent response confined to western/eastern Atlantic. Although solar effects are negligible in blocking frequency for the entire Atlantic sector, other blocking features exhibit significant responses. Low solar Atlantic blocking episodes last longer, are located further east and become more intense than high solar blocking events. The implications of these solar-related changes are discussed. Our results suggest that the excessively cold conditions recorded in Europe during the Maunder Minimum may have arisen from an eastward shift of long-lasting blockings with near-normal frequencies.
In vitro and In vivo evaluation of free radical scavenging potential of Cissus quadrangularis

The present study was performed to evaluate the effect of the methanolic extract of Cissus quadrangularis (CQE) against free radical damage. The test extract exhibited significant inhibition in DPPH free radical formation, superoxide radical production and lipid peroxide production in erythrocytes. The activities of liver marker enzymes and antioxidant defense enzymes in rat liver homogenate were assessed in control and experimental animals. Carbon tetrachloride (CCl 4 ) caused a significant increase in aspartate aminotransaminase (AST) and alanine aminotransaminase (ALT), alkaline phosphatase (ALP), and decrease in superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx) and reduced glutathione (GSH), which was reverted by CQE pretreatment. The results obtained suggest that CQE showed inhibition of lipid peroxidation, free radical production and increase in antioxidant enzymes activities, which reveal its antioxidant property. It can be concluded that the free radical scavenging activity of the plant extract may be responsible for the therapeutic action against tissue damage. Keywords : free radicals, In vitro, Cissus quadrangularis , CCl 4 , antioxidant activity African Journal of Biomedical Research Vol. 8(2) 2005: 95-99
Proceedings of the Eighth Joint ISO - ACL SIGSEM Workshop on Interoperable Semantic Annotation

Annotating text with abstract information such as semantic roles is costly. In previous efforts, such as PropBank, this process was aided with the help of syntactic trees, manually correcting automatically produced annotations. We argue that when using a lexicalised approach the annotation effort can be made simpler, avoiding the need to explicitly select two entities for each role. Our model is demonstrated by the Groningen Meaning Bank, using Combinatory Categorial Grammar as syntactic formalism, and Discourse Representation Theory as a formal semantic backbone.
'I like it instead of maths': how pupils with moderate learning difficulties in Scottish primary special schools intuitively solved mathematical word problems

This study by Lio Moscardini of the University of Strathclyde shows how a group of 24 children in three Scottish primary schools for pupils with moderate learning difficulties responded to word problems following their teachers' introduction to the principles of Cognitively Guided Instruction (CGI). CGI is a professional development programme in mathematics instruction based on constructivist principles developed at the University of Wisconsin-Madison. The study found that the sample group of pupils were able to develop their understanding of mathematical concepts through actively engaging in word problems without prior explicit instruction and with minimal teacher adjustments. The pupils' conceptual understandings demonstrated by their solution strategies within CGI activities were generally not consistent with classroom records of assessment. The results were encouraging in illustrating the capacity of the sample group of pupils with moderate learning difficulties to reveal their mathematical thinking and considers the importance of this insight for instructional decision making.