Miracle-dz/UniFAR-FTUs huggingface dataset:
Arginine methylation as a key post-translational modification in skeletal muscle homeostasis: a review

Arginine methylation mediated by protein arginine methyltransferases (PRMTs) has emerged as a key post-translational modification of histone or nonhistone substrates. It involves or controls signaling pathways or gene expression implicated in diverse processes, including muscle regeneration and metabolic homeostasis. Reciprocally, loss of skeletal muscle mass and function related to aging or other pathological conditions could be related to the secondary chronic diseases, for example, metabolic syndromes, chronic inflammation, or cardiovascular diseases. Thus, understanding the pathways that regulate muscle homeostasis is critical to develop therapeutic strategies for preventing muscle loss and related secondary chronic diseases. Recent in vivo research using gene-targeting mouse models have advanced our knowledge about the role of several PRMTs in muscle regeneration and metabolic controls. In this review, we will focus on the recent discoveries on the in vivo function of PRMTs in muscle homeostasis.
Aspergillus Foetidus Mediated Biosynthesis of CdS Nano Particles and Its Characterization

The CdSO4 salt containing Aspergillus foetidus cell free filtrate shows a peak at 407 nm upon UVVis scan and fluorescence maxima at 515 nm due to the formation of CdS nanoparticles. The synthesized nanoparticles were further characterized precisely by zeta potential measurements, dynamic light scattering, FT-IR, atomic force microscopy, high resolution transmission electron microscopy, energy dispersive X-ray and X-ray diffraction studies, which are able to characterized the stable CdS nano structure of ~20-30 nm.
Design of Area and Speed Efficient Modulo 2 n -1 Multiplier for Cryptographic Applications

— The encryption and decryption of PKC algorithms are performed by repeated modulo multiplications these multiplications differ from those encountered in signal processing and general computing applications. The residue number system (RNS) has emerged as a promising alternative number representation for the design of faster and low power multipliers owing to its merit to distribute a long integer multiplication into several shorter and independent modulo multiplications. The multipliers are the essential elements of the digital signal processing such as filtering, convolution, transformations and Inner products. RNS has also been successfully employed to design fault tolerant digital circuits. The modulo multiplier is usually the noncritical data path among all modulo multipliers in such high-DR RNS multiplier. This timing slack can be exploited to reduce the system area and power consumption without compromising the system performance. With this precept, a family of radix-8 Booth encoded modulo multipliers, with delay adaptable to the RNS multiplier delay, is proposed. In this paper, the radix-8 Booth encoded modulo multipliers whose delay can be tuned to match the RNS delay. In the proposed multiplier, the hard multiple is implemented using small word-length ripple carry adders (RCAs) operating in parallel. By combining radix-8 Booth encoded modulo multiplier, CSA and prefix architecture of multiplier, high speed and low-power is achieved. Modulo multiplier design has been presented using Sklansky & Kogge-Stone parallel-prefix structures.
MULTI-WAVELET BASED ON NON-VISIBLE WATER MARKING

The paper presents multi-wavelet based on non-visible water marking. In the past, DWT-DCT technique has less copyright protection and content authentication. The proposed method is solved referred problems. In this paper, firstly apply the multi wavelet to improve image resolution at LL sub band. Secondly, embedded the important data (watermark image) into host multimedia, and it can be used in digital right management, authentication and data hiding. The experimental result shows that the watermark scheme has strong robustness, and can embed much more data.
Antagonistic potential of Beauveria sp. against phytopathogens

Beauveria bassiana is the most widely studied entomopathogenic fungi which have drawn attention worldwide not only as an insect-pest control but also as management of plant pathogenic fungi and bacteria along with their plant growth promotion activities. Mechanisms of plant disease suppression by Beauveria sp. involve antibiosis, mycoparasitism, competition, endophytism and induced systemic resistance. Moreover, production of wide array of volatile organic compounds, hydrolytic enzymes (chitinases, amylases, lipases, cellulases, caseinases and proteases) and various secondary metabolites (beauvericin, bassinolide, beauvolide, beauviroloide, oosporein, bassianin and tenellin) triggers its antifungal and antimicrobial properties against various plant pathogens. Beauveria sp. have been reported to suppress diseases caused by various foliar and soil borne phytopathogens belonging to Oomycetes (Phytopthora infestans, Pythium myriotylum, P. debaryanum, P. irregular and P. ultimum ), fungi ( Fusarium oxysporum, Rhizoctonia solani, Gaeumannomyces graminis var. tritici, Armillaria mellea, Rosellinia necatrix, Thielaviopsis bassicola, Botrytis cinerea, Septoria nodorum, Phoma betae, P. exigua and Colletotrichum falcatum, bacteria (Xanthomonas campestris pv. malvacearum) and nematodes (Melodogyne incognita). Considerable efforts are made in the utilization of the potential hypomycete B. bassiana as one of the most promising dual purpose biocontrol agents in terms of large scale applications in crop protection.
Factors Influencing Third Party Logistics Performance in Malaysia: The Role of Trust as a Mediator

This conceptual paper examines the influence of specific investments, opportunistic behavior, prior satisfaction, 3PL reputation, reciprocity and communication on outcomes of third-party Logistics performance, and the extent to which trust affects these relationships. The studies undertaken thus far are more towards evaluating 3PL performance through some defined critical success indicators which is believed can only derive short term benefits. Long terms success of 3PL by taking into consideration of relationship marketing has been neglected. Since most of the studies thus far only talks about performance based on short term achievements and very little consideration given on long term performance, thus this research will look into Performance evaluation (Dependent Variable) and aspects contributing to long term success via relationship marketing.
IPASJ International Journal of Mechanical Engineering (IIJME)

Volume 5, Issue 7, July 2017 Page 13 Abstract The support of high spectral potency MIMO spatial-multiplexing communication in OFDM-based WiFi systems conformist to IEEE 802.11n normal needs the planning and use of compact antennas and arerays with low correlation ports. For this purpose, compact space-multimode diversity provisioning stacked circulare multimode microstrip patch antenna arerays (SCPULA) areea unit planned during this paper and their performance in terms of spacial and modal correlations, random spectral efficiencies furthermore as compactness with relevancy antenna arerays shaped of vertically-oriented center-fed dipole parets (DP-ULA) and dominantmode operational circulare microstrip patch antennas (CPULA) areea unit conferred. The lower spacial and modal correlations and also the resultant higher spectral potency of SCP-ULA with cubic centimetre detection over statistically-clustered Kronecker-based spatially-correlated NLOS Ricean attenuation channels with relevancy DP-ULA and CPULA at considerably lower antenna and areray sizes represents SCP-ULA as a promising answer for prepareation in terminals, modems and access points of next-generation high-speed 802.11n MIMO-OFDM WiFi systems.
Fuzzy based Modular Cascaded H-Bridge Multilevel PV Inverter with Distributed MPPT for Grid-Connected Applications

The inverters are categorized according to the configuration of the PV system, the configuration of the conversion stages within the inverter and whether they use transformers. After the introduction of the state of the art of inverters for PV systems with and without transformers, the paper focuses on some known problems and challenges for transformer less inverters. Topologies without transformers have big advantages like low weight, volume and cost. In addition they often reach higher efficiencies than topologies with transformers. Eliminating the leakage current is one of the most important issues for transformer less inverters in grid-connected photovoltaic system applications, where the technical challenge is how to keep the system common-mode voltage constant to reduce the leakage current. To realize better utilization of PV modules and maximize the solar energy extraction, a distributed maximum power point tracking control scheme is applied to both singleand three-phase multilevel inverters, which allows independent control of each dc-link voltage. For three-phase grid-connected applications, PV mismatches may introduce unbalanced supplied power, leading to unbalanced grid current.
Comparative study of release profile of sustain release carvedilol matrix tablets using Methocel K100LV CR, Methocel K100M CR and xanthum gum polymer

In present study an attempt was made to formulate and to evaluate the sustain release Carvedilol matrix tablets by using METHOCEL K100LV CR, METHOCEL K100M CR and Xanthum Gum polymer. The tablets were prepared by direct compression method. The granules were evaluated by angle of repose, bulk density, tapped density and compressibility index, surface P. The formulated tablets were evaluated by weight variation, thickness, diameter, hardness, friability and drug content. Drug content in formulation was determined by UV method. The granules showed satisfactory flow properties. The in-vitro release study of matrix tablets were carried out in 0.1N HCL using USP paddle method with sinker which was conducted for 8 hours and examined. Statistically significant differences were found among the drug release profile from different classes of polymeric matrix. Higher polymer content (30%) in the matrix decreased the rate of drug release due to the increase tortuosity and decrease porosity. At lower polymeric level (5%), the rate of drug release was elevated. METHOCEL K100M CR was found to cause the strong retardation of drug. On the other hand, highest release was found from Xanthum Gum while METHOCEL K100LV CR gave an intermediate release profile of Carvedilol. The release mechanism was explored and examined by Zero order; First order, Higuchi, korsmeyerPeppas and Hixson-Crowell equation. The release of the drug from all the formulations was found to follow Higuchi model, as the plots showed high linearity. Also high viscosity METHOCEL grades mostly followed anomalous or non-ficking transport process. Therefore, the results generated in this study showed that the formulated sustained release matrix tablets deliver the drug through a combination of both diffusion and erosion controlled mechanism.
A New Robust Digital Image Watermarking Based on Statistical Information of Wavelet Coefficients Transform and Back-Propagation Neural Network

: A new digital image watermarking algorithm based on the statistical Information and relations between wavelet coefficients of image and Back-Propagation neural network (BPNN) is proposed. The BPNN is a type of supervised learning neural networks. It is a very popular in neural networks. Using improved BPNN, the watermark can be embed into Discrete Wavelet Transform (DWT), which can reduce the error and improve the rate of the learning, the trained neural networks can recover the watermark from the watermarked images. The BPNN, gains statistical information of wavelet coefficients that is important for robustness and transparency of watermarking algorithm. The proposed method has good imperceptibility on the watermarked image and superior in terms of Peak Signal to Noise Ratio (PSNR). The implementation results show that the watermarking algorithm has very good robustness to all kind of attacks.
Influence of Salicylic and Jasmonic acid on Chlorophylls, Carotenes and Xanthophylls contents of Lemon balm (Melissa officinalis L.) under Salt stress conditions

Soil salinity is one of the most important limitations that reduce crop yield in arid and saline irrigation. Water resource solution substances known as salts. Most of the salts exist in water resources are chlorides and sodium. While salinity can improve soil structure, it can also create negatively affects on photosyntetically pigment formation and their survival. This research was carried out in order to investigate the effects of different salinity levels (0, 25, 50 and 75 mM NaCl), salicylic acid (0 and 0.7 mM) and Jasmonic acid (0 and 100 μM) on some pigment contents in Lemon balm (Melissa officinalis L.). The results indicated that pigment contents such as chl a, chl b and chl a+b significantly decreased and carotenes and xanthophylls increased against salinity stress. Also application of salicylic acid and Jasmonic acid significantly increased all pigment contents. Under all salinity stress conditions, 0.7 mM salicylic acid and 100 μM Jasmonic acid foliar applications could significantly increase all evaluated photosynthetically pigments. Consequently, it was concluded that synergistic interaction between salicylic acid and Jasmonic acid could reduce the harmful effects of salt stress on Lemon balm efficient pigment contents.
In Vitro Antibacterial Activity of Citrus limon (L.) Burm against Gentamicin-Resistant Escherichia coli Complemented with in Silico Molecular Docking of Its Major Phytochemicals with Ribosome Recycling Factor

Objectives: Due to adverse effects of classic antibiotics and accrual emergence of antibiotic-resistant bacteria, seeking alternative therapeutics would be a necessity. This study was first aimed to investigate in vitro antibacterial activity of hydro-alcoholic extracts derived from peels of Citrus limon (L.) Burm (CL) as anecdotally reported in (Kurdish) ethnomedicine. Then, putative mechanisms which may mediate this antibacterial effect were computationally elucidated. Materials and Methods: Antimicrobial activity was determined against strains E. coli ATTCC 25922. Minimum Inhibitory Concentrations (MIC) and Minimum Bactericidal Concentration (MBC) were determined. Molecular docking was performed for major phytocompounds reported in aqueous or hydro-alcoholic extract of peel of CL against Ribosome Recycling Factor (RRF) of E. coli. Results: Based on in vitro antibacterial assay, E. coli was resistant to gentamicin while CL showed MIC (32 ± 27 μg.ml-1) and MBC (682 ± 295 μg.ml-1) against E. coli. In silico results reported here focused only phytocompounds with binding affinity less than -6 kcal.mol-1 against RRF to screen more antibacterial promising agents. In this regard, the binding affinities of alpha-carotene (-6.7), apigenin (-10.2), beta-carotene (-10.0), betacryptoxanthin (-8.0), d-limonene (-7.6), citral (-7.5), eriocitrin (-12.1), alpha-pinene (-7.5), lycopene (-10.5), and hesperidin (-13.3) with RRF were comparable to gentamicin (-12.6 kcal.mol-1). Conclusions: Hesperidin and eriocitrin showed more promising binding affinity with RRF and can be considered as candidate lead molecules for future studies. In sum, our results showed that hydro-alcoholic extract of peel of CL could be a candidate for designing commercial phytobiotics if in-depth antibacterial assays employed in future studies.
Review on EMACS algorithm in Mobile Cloud Computing

— this paper represents mobile cloud computing (MCC) which extends cloud computing with the advantages of mobility and wireless networks to create a new infrastructure where cloud takes over mobile devices’ responsibilities of executing tasks and storing enormous amounts of data. The overall it shows the broad survey of mobile cloud computing and also specify concerns in mobile cloud computing which are highlighted . A taxonomy is also presented based on the key issues in this area, and discuss the different approaches taken to tackle these issues. The comparison of various techniques based on various parameters has been discussed which shows that it minimizes the response latency, cost of application migration.
Dual Gate Routing Protocol by using Reduduancy Protocol

In this paper we present some redudancy routing protocols for dual gate networking of a cellular network. To perform routing protocols We have to explain the networking communication on wireless sensor networks which can vary from a simple star network to an advanced multi-hop wireless mesh network like MANET & VANET which is adhoc networks for vehicular and mobile networks by using Dual gate Protocols. After performing the routing through the centralized management system in cellular network, requester Ad-Hoc node forwards data via its Wi-Fi interface according to the discovered route in the Ad-Hoc mode by using redudancy protocols. This paper also study the principles and features of selecting protocols like ospf(open shortest path first), eigrp(enhanced-igrp) for explaining and conparing the prons and cons of routing protocols. So In this paper we will review the dual gate routing protocol by using reduduancy protocol
Blind Deconvolution of Camera Motioned Picture using Depth Map

— Camera shake leads to non-uniform image blurs for large depth range scene and apparent camera translation. To restore the blurred images of large-depth range scenes attenuated by camera motion, we build an arbitrary model 6-degree of freedom (DoF) of camera motion with a depth map. In this paper we have done a successful blind deconvolution for removing shake artifacts that requires the estimation of a spatially varying or non-uniform blur operator using iterative deblurring algorithm. The number of variables is reduced by time sampling motion function (TSMF), which describes the 6-DoF camera motion by sampling the camera position in time domain. To effectively estimate the high-dimensional camera motion parameters, we construct the probabilistic motion density function (PMDF) to describe the camera poses during exposure, and the convergence of the deblurring algorithm. Specifically, PMDF is computed through a back projection method from 2D local blur kernels to 6D camera motion and robust voting. For the degeneration situations, our framework can flexibly select the motion dimension to degrade the motion blur model, and thus can reduce computational cost and prevent over-fitting.
Enzymes From Actinomycetes – Review

Actinomycetes are group of microorganisms produce valuable secondary metabolites like antibiotics, vitamins, organic acids and enzymes. Antibiotics from actinomycetes of different habitats have been employed extensively in pharmaceutical field. The enzymes produced by actinomycetes and applied in different industries are amylases, proteases, lipases, cellulases, xylanases, chitinases, gelatinases and keratinases. This review summarizes the application of both intracellular and extracellular enzymes of actinomycetes in different industries such as textile, biorefineries, food, pulp and paper, agriculture, detergent and pharmaceuticals.
Multi-document Summarization Based onCluster

A summary can be loosely defined as a text which is produced from one or more texts, that contain a significant portion of the information in the original text(s), and that is no longer than half of the original text(s). The main goal of a summary is to present the main ideas in a document in less space. Multi-document summarization is the process of producing a single summary of a set of related source documents, is relatively new. For handling multiple input document following are the problems1.Recognizing and coping with redundancy 2.Identifying important differences among document and 3.Covering the informative content as much as possible. In this paper, to address these problems, we propose multidoument summarization based on cluster using sentence-level semantic analysis (SLSS), mixture model and symmetric non-negative matrix factorization (SNMF).
Exploring Cluster Analysis

— Data mining is a process of analyzing data from different fields and then summarizing it to get useful information out of it. Clustering is one of the important activities in data mining. Clustering is a process of grouping data into classes or clusters so that objects within a cluster have more similarity than between different clusters. The aim of this paper is to give a brief idea about clustering and give future scope of it in the research field.
The Relationship between Social Support and Academic Self-Efficacy of Students with Mental Health

The main objective of this study investigated the relationship between social support and mental health of students with academic self-efficacy was the Islamic Azad University of Ahvaz. The study sample consisted of 400 undergraduate students at the Islamic Azad University of Ahvaz were selected through sampling. Collect data from the scale of social support and questionnaire Khvkaramdy students and the Mental Health Inventory is used. Results of Pearson correlation coefficient showed that psychological variables, social support and self-efficacy has a significant positive relationship. (P <0 / 05). Results of multivariate regression analysis showed that social support and self-efficacy had a significant share of students directly based upon the provision of mental health. The variables of social support and self-efficacy, mental health at the University are expected. [Shokouhi M, Heidari A.R. The Relationship between Social Support and Academic Self-Efficacy of Students with Mental Health. J Am Sci 2012;8(7):122-126]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 19
Reduction of Online Execution Time for Big Data Application

: An increasing number of services are emerging on the Internetby service computing and cloud computing. As a result, service-relevant data become too big to be effectively processed by traditional approaches. In view of this challenge, Reduction of online execution time for big data application is proposed in this paper, which aims at recruiting similar services in the same clusters to recommend services collaboratively. Technically, this approach is enacted around two stages. In the first stage, the available services are divided into small-scale clusters, in logic, for further processing. At the second stage, a collaborative filtering algorithm is imposed on one of the clusters. Since the number of the services in a cluster is much less than the total number of the services available on the web, it is expected to reduce the online execution time of collaborative filtering. At last, several experiments are conducted to verify the availability of the approach.