Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of in ovo Injection of L-Arginine in Different Chicken Embryonic Development Stages on Post-hatch Growth Performance, Immune Response and Muscle Development Proteins

The objective of this study was to evaluate the effect of in ovo injection of L-arginine (L-Arg) into Ross broiler eggs at different embryonic developmental stages on their survival, hatchability, and body weight (BW). Additionally, we have analyzed the levels of serum glutamic-oxaloacetic transaminase (SGOT) and serum glutamic-pyruvic transaminase (SGPT), protein expression of heat shock proteins (HSPs), also we have the determined micronuclei (MN) and nuclear abnormality (NA). Results showed that survival and hatching rates as well as body weight were increased on the 14th day incubation compared to 8th and 18th day incubation at lower concentration of L-Arg. Moreover, the levels of SGOT and SGPT were also significantly (P < 0.05) increased at 14th day incubation at the same concentration (100μg/μl/egg) of injection. In addition, IgM levels were increased on the 14th day incubation compared to other days. The protein expressions of HSP-47, HSP-60, and HSP-70 in the liver were significantly down-regulated whereas the expression of myogenin and MyoD were significantly up-regulated on the 14th day after incubation in treated with all different doses such as 100μg, 1000μg and 2500μg/μl/egg namely 3T1, 3T2 and 3T3 respectively. However, the treatment with low dose of L-Arg down-regulated expression levels of those proteins on the 14th day incubation. Histopathology of liver by hematoxylin and eosin (H&E) straining showed that the majority of liver damage, specifically intracytoplasmic vacuoles, were observed in 3T1, 3T2, and 3T3. The minimum dose of 100 μg/ml/egg on the 14th day of incubation significantly prevented intracytoplasmic vacuole damages. These results demonstrate that in ovo administration of L-Arg at (100μg/μl/egg) may be an effective method to increase chick BW, hatch rate, increasing muscle growth related proteins and promote the immune response through increasing IgM on the 14th day of incubation period.
3 . 1 Mobile text reading applications requiring OCR

In this literature review, we study and analyze different mobile applications that were designed to read text, recognize text or recognize objects in a picture and inform the user about the result of the request. This project is mainly related to image processing in order to extract text from images. Section 2.2 of this chapter investigates image processing, and Section 2.3 presents applications that can read text from an image. Section 2.4 looks at systems that recognize objects in an image. Section 2.5 presents systems recognizing objects with extended functionalities, followed by section 2.6 which describes the tools needed and used to create the applications presented previously; and the last section, before we conclude, defines a plan of action.
A pr 2 00 8 The anti-k t jet clustering algorithm

The kt and Cambridge/Aachen inclusive jet finding algorithms for hadron-hadron collisions can be seen as belonging to a broader class of sequential recombination jet algorithms, parametrised by the power of the energy scale in the distance measure. We examine some properties of a new member of this class, for which the power is negative. This “anti-kt” algorithm essentially behaves like an idealised cone algorithm, in that jets with only soft fragmentation are conical, active and passive areas are equal, the area anomalous dimensions are zero, the non-global logarithms are those of a rigid boundary and the Milan factor is universal. None of these properties hold for existing sequential recombination algorithms, nor for cone algorithms with split–merge steps, such as SISCone. They are however the identifying characteristics of the collinear unsafe plain “iterative cone” algorithm, for which the anti-kt algorithm provides a natural, fast, infrared and collinear safe replacement.
Rationale. MIF (macrophage migration inhibition factor) is a widely expressed and pleiotropic cytokine with immunoregulatory, neuroendocrine, and metabolic actions (1). MIF expression is required for optimal pro-inflammatory responses and MIF has a close regulatory interaction with glucocorticoids b

Rationale. MIF (macrophage migration inhibition factor) is a widely expressed and pleiotropic cytokine with immunoregulatory, neuroendocrine, and metabolic actions (1). MIF expression is required for optimal pro-inflammatory responses and MIF has a close regulatory interaction with glucocorticoids by virtue of its ability to specifically suppress their anti-inflammatory function (4,5). MIF promotes tumor progression by several mechanisms and is expressed in elevated levels in many invasive and metastatic cancers (6,7). MIF also is a strong inducer of AMP-activated protein kinase (AMPK) and promotes glucose uptake and energy utilization in hypoxic cells (8). It is further notable that MIF is encoded in a functionally polymorphic locus within the human genome (22q11.23). Variant MIF alleles occur commonly in the human population (minor allele frequency >5%) and high expression alleles have been linked to the clinical severity of a number of autoimmune inflammatory, infectious, and oncologic diseases (9), suggesting that pharmacologic reduction of MIF activity could extend healthy, disease-free life.
J ul 2 01 5 Rank-one convexity implies polyconvexity for isotropic , objective and isochoric elastic energies in the two-dimensional case

We show that in the two-dimensional case, every objective, isotropic and isochoric energy function which is rank-one convex on GL(2) is already polyconvex on GL(2). Thus we negatively answer Morrey’s conjecture in the subclass of isochoric nonlinear energies, since polyconvexity implies quasiconvexity. Our methods are based on different representation formulae for objective and isotropic functions in general as well as for isochoric functions in particular. We also state criteria for these convexity conditions in terms of the deviatoric part of the logarithmic strain tensor. Mathematics Subject Classification: 74B20, 74G65, 26B25
Hybrid Feature Selection using Swarm and Genetic Optimization for DNA Copy Number Variation

Genomic variation can cause several types of human cancer so the selection of significant genes from the DNA copy number variations (CNVs) data carriages a hard challenge to researchers because of the high-dimensionality of features and multiclass categories being involved. Machine learning has important role in genomic variation it can help for predicting and analysis of DNA CNVs sequence. This paper presents models to classify a set of human malignancy types using machine learning to establish various models on set of cancers based on the CNV level values of 23,082 genes as a features for 2916 instances. Feature selection techniques used for dimensionally reduction of the CNVs data to find an optimal subset of genes which sufficiently represents the original set of features. A hybrid method of particle swarm optimization (PSO) and a genetic algorithm (GA) used to perform the genes selection. The proposed PSO-GA approach is compared with several learning algorithms.The performance of the proposed model is tested and compared with several machine learning algorithms with other benchmark using 10-fold crossvalidation. The best performance achieved accuracy value 0.85 and ROC value 0.961 which are promising results not only effectively reduce the number of genes to 2051, but also attains a low classification error rate. The proposed model confirmed that genes from chromosome 3 have in evolving human cancers. It also predicted new genes not studied so far as important ones for the prediction of cancers.
approaches to protecting the capacity for corals to respond to climate change : a theoretical comparison Permalink

Multiple anthropogenic impacts, including bleaching from climate change-related thermal stress, threaten coral reefs. Protecting coral capacity to respond to the increase in future thermal stress expected with climate change can involve (1) protecting coral reefs with characteristics indicative of greater resistance and resilience to climate change, and (2) reducing other anthropogenic impacts that are more likely to reduce coral resistance and resilience to climate change. Here, we quantitatively compare possible priorities and existing recommendations for protecting coral response capacity to climate change. Specifically, we explore the relative importance of the relevant dynamics, processes, and parameters in a sizestructured model of coral and zooxanthellae ecological and evolutionary dynamics given projected future thermal stress. Model results with varying initial conditions indicate that protecting diverse coral communities is critical, and protecting communities with higher abundances of more thermally tolerant coral species and symbiont types secondary, to the long-term maintenance of coral cover. A sensitivity analysis of the coral population size in each size class and the total coral cover with respect to all parameter values suggests greater relative importance of reducing additional anthropogenic impacts that affect coral–macroalgal competition, early coral life history stages, and coral survivorship (compared with reproduction, growth, and shrinkage). Finally, model results with temperature trajectories from different locations, with and without connectivity, indicate that protection of, and connectivity to, low-thermal-stress locations may enhance the capacity for corals to respond to climate change.
Hysteresis of Isotherms of MixedMonolayers of N-Octadecyl-N ′-phenylthiourea and Stearic Acid at Air / Water Interface

Surface pressure area isotherms of Langmuir monolayers formed by spreading mixed solutions of varying concentrations of Noctadecyl-N′-phenylthiourea (OPT) and octadecanoic acid or stearic acid (SA) over air-water interface are described. Examination of the hysteresis behavior and an analysis of the limiting area per molecule of the isotherms show that when the spread solution has an excess of OPT, the limiting surface area is consistent with a monolayer composed of equimolar amounts of the two components. This indicates that any excess thiourea, which on its own does not form a stable monolayer, is squeezed out and is not part of the monolayer. On the other hand, when the spreading mixture has an excess of SA over OPT, the isotherm indicates that the entire originally spread material is incorporated into the surface film. In this case, the values of area/molecule indicate that the monolayer is composed of SA : OPT complex with a ratio of 1 : 1 together with the excess SA remaining in the monolayer.
Combined Administration of Rauwolfia vomitoria extract And Vitamin C Elicits Hypolipidemic and Antioxidative Potentials in High-Fat Fed Experimental Rats .

A major risk factor in the etiology of cardiovascular disease is hyperlipidemia. Current research is focus at discovering pharmacological compounds of natural origin that can reduce the risk of hyperlipidemia. This study was set up to assess the effect of separate and combine administration of Rauvolfia vomitoria and vitamin C on hyperlipidemia and oxidative stress in rat fed with high fat diet. Fortyadult male rats randomized into 5 groups of 8 each were used. Group 1 was the control; groups 2, 3, 4 and 5 were fed with lard supplemented diet. Leaves extract of Rauvolfia vomitoriawas administered to groups 3 and 4 (250mg/kg) while groups 4 and 5 were treated with vitamin C (10UI/Kg). All administrations were performed orally as a single dose for 28 days after which the rats were sacrificed. Plasma and heart homogenate were then used for analysis. The study indicates that high fat diet predisposes to hyperlipidemia, increased malondialdehyde, decrease GSH and decrease catalase and superoxide dismutase activities. Combine administration of Rauvolfia vomitoria and vitamin C offer protective effect by reversing the metabolic alterations occasioned by the diet. The study suggests that Rauvolfia vomitoria contain bioactive components that may act synergistically with vitamin C to provide cardioprotective effect.
Protective Effects of Aqueous Extract of Mentha suaveolens against Oxidative Stress-Induced Damages in Human Keratinocyte HaCaT Cells

Mentha suaveolens is an aromatic herb that has a wide range of biological activities, including antimicrobial, antifungal, anti-inflammatory, and hepatoprotective properties. Although there are a few reports on the antioxidant property of M. suaveolens, its cytoprotective activity against oxidative stress has not been reported yet. The objective of this study was to determine the protective activity of M. suaveolens aqueous extract (MSAE) against hydrogen peroxide- (H2O2-) induced oxidative stress and apoptosis in human keratinocyte HaCaT cells. MSAE pretreatment decreased H2O2-induced cytotoxicity and suppressed H2O2-induced intracellular ROS generation. Furthermore, MSAE suppressed expression levels of H2O2-induced apoptotic genes such as cleaved caspase-3, caspase-9, and cleaved poly (ADP-ribose) polymerase (PARP). Pretreatment with MSAE induced expression of phase II enzyme such as HO-1 through translocation of NF-E2-related factor (Nrf2) upon H2O2 exposure. These results revealed that the cytoprotective effect of MSAE against oxidative stress-induced cell death was associated with activation of Nrf2-mediated phase II enzyme expression.
EFFECTS OF LEARNING AND ATTENTION ON THE DEVELOPMENTAL EYE MOVEMENT (DEM) TEST

This review investigates the influence of learning effects and attention on the repeatability of the Developmental Eye Movement (DEM) Test. The DEM test is a widely administered test for evaluation of saccadic eye movements and visual-verbal automaticity. Review of pertinent literature suggests that the DEM Test has been found to have poor repeatability characterized by improvement of scores in subjects. These improvements were commonly suggested to result from learning effects and/or attention levels. The overall conclusion from this review is that the DEM Test, like some of its predecessors, has poor repeatability due to influences from factors such as attention and the effects of learning. However proper environment and instruction can negate the influence of these factors on test performance.
THE VEGETATION, SURFACE WATER CHEMISTRY AND PEAT CHEMISTRY OF MODERATE-RICH FENS IN CENTRAL ALBERTA, CANADA

The non-forested fens of the Athabasca area in central Alberta, Canada are characterized by their surface water and peat chemistry. Correlations between vegetation and chemical gradients are examined. The primary vegetation gradient is from stands dominated by Drepanocladus vernicosus, Meesiatriquetra, Menyanthes trifoliata, and Carex chordorrhiza to those dominated by Brachythecium mildeanum, Drepanocladus aduncus, Carex aquatilis, and Drepanoctadus polycarpus. This vegetation gradient reflects a chemical gradient of increasing pH, magnesium, sodium, sulphur, organic nitrogen, and phosphorus in the fen water and increasing magnesium, iron, and phosphorus in the fen peats. Potassium and sodium in the fen peazs show a decreasing trend along the vegetation gradient. A second gradient from shrub-moss vegetation to sedge-moss vegetation is significantly correlated with microtopography and an increase in nitrate content in the spring (May) waters. The fen waters in this study are in the 5.3-7.1 pH range, with specific conductance of 18-240btS. The calcium content of the waters averages 19.5 22.1 mg/1 and that of magnesium averages 4.3 5.3 mg/1 in spring and fall, respectively. The subsurface fen peats are characterized by mean calcium contents of 17,426 mg/kg and magnesium contents of 1,719 mg/kg. Organic nitrogen, nitrate, and ammonium content in the spring and fall waters average 1,967-2,395 I~g/1, 3.1-9.8 btg/1, and 16.8-88.9 btg/1, respectively. A review of peafland literature suggests that the Athabasca fens are classified as moderate-rich fens. The chemical contents of the fen waters and fen peats are intermediate between those of poor fens and extreme-rich fens that previously have been described. Common rich fen species, such as Tomenthypnum nitens, Bryum pseudotriquetrum Campylium stellatum, and CaUiergon giganteum, are present. In addition, characteristic species of these moderate-rich fens include Drepanocladus vernicosus, D. aduncus, D. polycarpus, and Brachythecium mildeanum. These species are believed to be characteristic of moderaterich fens in continental, boreal areas. Key Words; fen, peat chemistry, nutrients, Drepanocladus, peatlands, vegetation analysis, elemental chemistry, Alberta, boreal forest, 228 WETLANDS, Volume 9, No. 2, 1989
Securing Linux with a faster and scalable iptables

The sheer increase in network speed and the massive deployment of containerized applications in a Linux server has led to the consciousness that iptables, the current de-facto firewall in Linux, may not be able to cope with the current requirements particularly in terms of scalability in the number of rules. This paper presents an eBPF-based firewall, bpf-iptables, which emulates the iptables filtering semantic while guaranteeing higher throughput. We compare our implementation against the current version of iptables and other Linux firewalls, showing how it achieves a notable boost in terms of performance particularly when a high number of rules is involved. This result is achieved without requiring custom kernels or additional software frameworks (e.g., DPDK) that could not be allowed in some scenarios such as public data-centers.
Copy number variation in ACHE / EPHB 4 ( 7 q 22 ) and in BCHE / MME ( 3 q 26 ) genes in sporadic breast cancer

Gene amplifications and deletions are common changes in human cancer cells. Previous studies indicate that the regions, where the ACHE (7q22) and BCHE (3q26.1-q26.2) genes are localized, are suffering such structural modifications in breast cancer. Therefore, the products of these genes, acetylcholinesterase and butyrylcholinesterase, respectively, are related to the process of cell differentiation and proliferation, as well as apoptosis. This study also included two other genes involved in tumorigenesis, the EPHB4 (7q22.1) and MME (3q21-27). The aim of this study was to verify amplification and/or deletion in the ACHE, BCHE, EPHB4 and MME genes in 32 samples of sporadic breast cancer. The gene alterations were detected using real-time PCR and determined by relative quantification with the standard curve method. All samples presented genetic alterations, showing a higher tendency for amplification of the ACHE (62.5% vs. 37.5%; p > 0.1) and EPHB4 (53.13% vs. 46.88%; p > 0.5) genes, and for deletions of the BCHE and MME genes (56.25% vs. 43.75% for both; p > 0.5). A positive correlation was found between alterations in ACHE–EPHB4 and BCHE–MME pairs (rs = 0.5948; p = 0.0004; rs = 0.3581; p = 0.0478, respectively) indicating that these changes comprise a wide region. In conclusion, the results suggest that these genomic regions may contain important genes for this pathology, such as the oncogenes MET (7q31) and PIK3CA (3q26), and thus being interesting targets for future studies in breast cancer research. 2012 Elsevier Ireland Ltd. Open access under the Elsevier OA license.
THE NETWORK BEHAVIOUR OF MALWARE TO BLOCK MALICIOUS PATTERNS . THE STRATOSPHERE PROJECT : A BEHAVIOURAL IPS

Current malware traffi c detection solutions work mostly by using static fi ngerprints, white and black lists and crowd-sourced threat intelligence analytics. These methods are useful for detecting known malware in real time, but are insuffi cient for detecting unknown malicious trends and attacks. Our proposed complementary solution is to analyse the inherent patterns of malware actions in the network by means of machine learning algorithms. In particular, we use Markov chains-based algorithms to fi nd network patterns that are independent of static features, such as IP addresses or payloads. These patterns are used to build behavioural models of malware actions that are later used to detect similar traffi c in the network. All these models and detection algorithms have been used to create a free software intrusion prevention system called Stratosphere IPS, which has been thoroughly tested with normal and malware traffi c. The IPS is able to detect new network patterns that are similar to known malicious behaviours. The Stratosphere IPS tool will be used to show how behavioural models can detect real malware traffi c.
Soil organic carbon dynamics following natural vegetation restoration : Evidence from stable carbon isotopes ( d 13 C )

Knowledge of soil carbon (C) dynamics following vegetation restoration is essential for evaluating carbon budgets and cycles at regional and global scales. In this study, we investigated the dynamics of soil organic carbon (OC) following farmland abandonment along with 160 years of vegetation restoration on the Loess Plateau, China. Our specific objectives were to examine the variation of soil OC decomposition rates, to quantify the changes in the proportion of new and old soil OC, and to explore the factors controlling soil OC stock patterns. The results showed that the rate of new soil OC increase was higher in the early stage ( 10 years) after land-use change. The rate of new soil OC increase ranged from 109.17 to 41.88 g m 2 year 1 in the early ( 10 years) and later stages ( 160 years), respectively. It took about 30 years for the amount of new soil OC to reach the same level as old OC in the top 20 cm of soil following farmland abandonment. Also, soil OC decomposition rate was higher (decomposition rate constants = 0.04) in the early stage ( 10 years) and showed a non-significant difference after > 30 years of vegetation restoration. Our results suggested that soil C/N is the most factor to effect on soil OC sequestration following vegetation restoration, and the proportions of new soil OC was mainly determined by fine roots, soil OC decomposition rate constants were mainly determined by soil silt content, and the rates of new soil OC increase were mainly determined by soil sand content that these observations were made out of considering many other soil properties. ã 2016 Elsevier B.V. All rights reserved.
Self-efficacy as an antecedent to students’behavioral intention to use the Internet foracademic purposes: A structural equationmodeling approach

This study is based on the technology acceptance model by integrating the internet self-efficacy (ISE) as an antecedent to determine students’ behavioral intention (BI) in adopting internet for their scholarly activities. To achieve this objective a structured questionnaire composed of 26 items that represented five constructs, namely, perceived usefulness (PU) perceived ease of using (PEOU), Attitude towards using internet (ATI) behavioral intention towards internet (BI), and Internet self-efficacy (ISE) were distributed among four-hundred and forty-eight students from technical; management and health science stream. The data is further analyzed using structural equation modeling. The findings of the study suggest that ISE has a significant influence on PEOU. Students with high self-efficacy find it easy to use the internet and thus develop a positive attitude towards the internet. Findings of this study stress on both online and offline internet literacy training program for the students to enhance their ISE for effective and efficient use of internet in an e-Learning environment