Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis and Evaluation of Tween 85-LPEI Copolymers for Gene Transfection In vitro and In vivo

A series of cationic amphiphlic copolymers constructed from Tween 85 and low molecular weight (Mw) polyethyleneimene (LPEI) were prepared in ambient conditions and characterized. The Mws of these copolymers ranged from around 5,000 to 25,000 Da and PEI content from 8.25% to 20.91%. The new copolymers condensed DNA efficiently with particles size below 200 nm at the weight ratio 5 of polymer/pDNA, and were stable in the presence of Serum or Heparin. The introduction of Tween 85 led to a significant increase in the cellular uptake of complexes with higher transfection efficiency in CHO, C2C12, and HSkM cell lines, but without increase in toxicity compared with the parent LPEI. The best formulation for pDNA delivery produced transgene expression efficiency 5, 20-fold of PEI 25k in vitro and in mdx mice in vivo, respectively. There is no obvious muscle damage with these new copolymers at the injection sites. These results indicated that the presence of more hydrophobic groups within the new polymers is associated with higher transfection efficiency (TE), and the higher PEI content and Mw of polymers show higher TE with relatively higher toxicity. The Tween 85 modified LPEI could be a potentially safe and effective polymeric carriers for gene/drug delivery. of pDNA as T85 itself does not improve pDNA delivery. Transfection efficiency of these copolymers appears dependent on molecular size, PEI content and HLB of copolymer composition. Experimental Section Materials Tween 85 (T85), Polyethylenimine (PEI, branched, 0.8k, 1.2k 2.0k and 25k Da), 1,1’-carbonyldiimidazole (CDI), acetonitrile, and ethidium bromide (EB), and ethanol were purchased from Sigma-Aldrich (St. Louis, MO, USA). Cell culture media, RPMI 1640, Dulbecco’s Modified Eagle’s Medium (DMEM), penicillin– streptomycin, fetal bovine serum, L-glutamine and HEPES were purchased from Invitrogen (Eugene, Oregon, USA). MTS [3-(4,5-dimethylthiazol-2-yl)-5-(3carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium]-based assay by Cell Titer 96®Aqueous One Solution Proliferation Kit was from Promega Corporation, (Madison, MI, USA). Lipofectamine-2000 (LF-2000) was from Life Technologies (Carlsbad, CA, USA). Trypsinethylenediaminetetraacetic acid (EDTA) (TE, 0.5% trypsin, 5.3 mM EDTA tetra-sodium) were obtained from Gibco BRL (Gaithersberg, MD, USA). All other chemicals were reagent grade without further treatment. Digital images were obtained using Olympus IX51 and IX71 fluorescent microscopes (Olympus America Inc, Milville, NY, USA). Digital images were taken using the Olympus DP Controller and DP Manager software (Olympus America Inc, Milville, NY, USA). Journal of Nanomedicine & Nanotechnology J o u r n a l o f N an om edicine & Natechn o l o g y ISSN: 2157-7439 Citation: Wang M, Wu B, Tucker JD, Lu P, Shah SN, et al. (2014) Synthesis and Evaluation of Tween 85-LPEI Copolymers for Gene Transfection In vitro and In vivo. J Nanomed Nanotechnol 5: 228. doi: 10.4172/2157-7439.1000228
Security and DependableEquivalent Service Using Fuzzy Identity-Based Encryption

In cloud computing data centers is take a virtual servers and organization pay as the capacity of usedata centers offers and provideservices by use of virtualization techniques. Computer network storage are the principle offering of information transfers. The context of publish/subscribe is only authenticated publisher are allowed to disseminate events in the cloud and only those events is delivered to authorized subscribers. Fuzzy Identity-Based Encryption (FIBE) scheme is proposed for secure publisher/subscriber data destitution in cloud servers. FIBE uses Advanced Encryption standard (AES) is based on Symmetric Key Algorithm.We present a contentbased publish/subscribe function is routed over a peer-to-peer network model. The implications of combining methods is explored and a particular implementation. We exploit hierarchical key derivation algorithms to encode publication-subscription matching semantics for scalable key management and develop a probabilistic number of event routing algorithm to minimize the small information that can be inferred by the routing nodes. An experimental evaluation of our prototype model the PS Guard meets the security requirements while modify the performance and security of a pub-sub network.
Effect of different bacteriophage isolates on managing potato soft rot caused by Pectobacterium carotovorum subsp. Carotovorum

---Isolation trials from potato tubers showing bacterial soft rot collected from Giza, Kalubia, Sharkia and Gharbia governorates yielded 35 bacterial isolates. The isolated bacteria were purified and identified as Pectobacterium sp. , Bacillus spp. and Pseudomonas spp. The frequency of the isolated bacteria was not greatly differed in the four governorates. 15 strains of the isolates proved to be Pectobacterium carotovorum subsp. carotovorum. The identification of the 15 isolates was confirmed by the Biolog system based on their sugar contents. Electron micrographs of the nine isolates of P.carotovorum bacteriophages were taken. Of the fifteen isolates of P. carotovorum (Pc) , only 4 isolates ,i.e. Pc2, Pc4, Pc7 and Pc10, were highly pathogenic to the five potato cultivars , i.e. Belini , Cara, Hermes, Mondial and Spunta . On the other hand, the tested isolates of Pc1, Pc3, Pc5, and Pc11 showed moderate effect on potato tubers. Meanwhile, Pc9, Pc13 and Pc14 isolates had low effect on potato tubers and the other isolates, i.e. Pc6, Pc8, Pc12 and Pc15 failed to cause any infection to four potato cvs. ,i.e. Bilini, Cara , Hermes and Mondial, but infected cv. Spunta cv. Four isolates of the bacteriophages (1, 2, 8 and 9) inhibited all the isolates of the causal bacterium . In addition, isolate (3) inhibited two pathogenic isolates only (Pc7 and PC10). Meanwhile, the mixture of the nine isolates of the bacteriophage inhibited all isolates of the causal bacterium. All the isolated phages were specific for P.carotovorum isolates and formed circular, clear plaques with or without halo and ranged from 1.0 to 5.0 mm in diameter. The tested 9 bacteriophages were effective in controlling bacterial soft rot on potato tubers comparing with the control treatment. In addition, the mixture of these isolates was more efficient in decreasing the incidence and severity of the disease as soft rot 2 and 4 days after the infestation with P. carotvorum isolates (Pc2, Pc4, Pc7and Pc10) than the efficient of each of them alone.
Pharmaceutical activities of Phytochemicals in Murraya spp.-a review

Murraya is one of the 150 genera from the family Rutaceae. Of the 14 global species belonging to this genus, only three species i.e. Murraya koenigii, Murraya paniculata and Murraya exotica have been found in India. The plant Murraya paniculata is native to South-west Asia. The leaves have been reported to possess stimulant and astringent properties. The plant Murraya koengii is a tropical to sub-tropical tree. It is native to India and now widely distributed in most of Southern Asia. The plant has anti-inflammatory, antiamnesic, anti-diabetic, antifungal, anti-bacterial, anti-helminthic and anti-cancer and anti-oxidative properties. The leaf, flower and fruit extracts of Murraya exotica have been reported to show anti-bacterial effect. The main categories of phytochemicals present in Murraya spp. include carbazole alkaloids, coumarins and flavonoids. Keeping this in mind an attempt has been made to review briefly the pharmaceutical activities of phytochemicals of Murraya spp. belonging to the family Rutaceae.
DROPS: Division and Replication of Data in Cloud for Optimal Performance and Security

: The issues related to security and operation overcomes by the Division and Replication of Data in the Cloud for Optimal Performance and Security (DROPS). In cloud computing, the information is stored on third party space which results in a security concerns. The user and lymph gland within cloud may compromise the data. Therefore, to protect data within the cloud senior high school security measures are required. Divide a data file into fragments, and replicate the fragmented data over the cloud lymph gland is done in DROPS methodological analysis. Only a fragment of a particular data file can be stored by each of the node that ensures that no meaningful information is revealed to the aggressor even in case of a successful attack.
Effect of Educational Intervention on Knowledge, Self-Care Behaviors and Quality of Life among Patients with Chronic Heart Failure

Background: Heart failure (HF) is a growing healthcare problem, associated with reduced quality of life, poor outcomes, and significant economic burden. Although thorough comprehensive guidelines related to HF disease is present, yet still we witness morbidity, mortality, and hospital readmission rates in increasing manner; In addition there is no good adherence to the guidelines in hands the issue which led to the negative impact on quality of life experienced by heart failure patients. Maintaining a good quality of life remains a core issue to be addressed in heart failure patients. Objective: The purpose of this study was to examine the effect of educational intervention on knowledge, self-care behaviours and quality of life among patients with chronic heart failure. Subject and Methods: a quasi-experimental research design was conducted at Makassed General Hospital, Beirut, Lebanon. A convenient sample of eighty patients with chronic heart failure were selected and sequentially assigned to two equal groups, intervention group which included 40 patients who had received the nursing educational sessions in addition to the routine hospital care. Control group that included 40 patients who had received the routine hospital care only. Three tools were used to collect the required data. Heart Failure Patients’ Knowledge Questionnaire, the European Heart Failure Self-care Behaviour Scale (EHFScBS), and the Minnesota Living with Heart Failure Questionnaire (MLWHF). Results: Patients in the intervention group had significantly better QoL in the first and fourth months after discharge. Conclusion: The study concluded that the educational intervention had improved the knowledge, self-care behaviours and the quality of life among chronic heart failure patients.
Isolation, Identification and Antibiotic Susceptibility Profiling of Antimicrobial Resistant Listeria monocytogenes from Dairy Farm

The objective of the present study was to evaluate the antibiotic susceptibility of 25 Listeria monocytogenes isolates isolated from raw cattle milk towards 15 antibiotics presently used in veterinary and human therapy. Antibiotic susceptibility tests were performed by using the Kirby Bauer disk diffusion method. The isolates were tested for their susceptibility to 15 different common antimicrobial drugs. A total of 115 milk samples from various sources were cultured for incidence of L. monocytogenes. 25 isolates of L. monocytogenes were isolated from a total of the 115 samples. Several isolates from milk samples were found resistant to Nalidixic acid, Amoxycillin+sulbactum, Cloxacillin, Erythromycin, Kanamycin and Vancomycin. On the other hand, several isolates were found susceptible to the Ofloxacin, Ampicillin, Tetracycline, Oxacillin, Streptomycin, Sulphafurazole and Ciprofloxacin. The present study provides preliminary information on incidence of L. monocytogenes as milk contaminants which may act as vehicles for the transmission of drug resistance.
A Comparative Study of Different Scheduling Algorithms for Real Time Operating System

Real-time systems play an important role in our modern society. The main objective of this paper is to compare the different scheduling algorithms in Real time system for scheduling the task, different scheduling algorithms were used. Most of the real-time systems are designed using priority based preemptive scheduling and worst case execution time estimates to guarantee the execution of high priority tasks. Workstation and personal computers are increasingly used for applications with real time characteristics such us speech understanding and synthesis, media computations and I/O and often concurrently executed with traditional non-real-time workstation. After that, we describe performance parameters we use to compare the performances of the various algorithms. We observe that the choice of a scheduling algorithm is important in designing a real time system. We conclude by discussing the results of the survey and suggest future research directions in the field of Real Time Operating System. KeywordsReal-Time Operating Systems, Scheduling Algorithm, Deadline, Scheduler, Earliest Deadline First (EDF)
KINEMATIC MODEL OF THE SEVEN-LINK BIPED ROBOT

This work deals with the stability analysis of two-legged (humanoid) robots during walking. First, a brief overview is provided on biped robots, and also models for the dynamic behavior are discussed. There is currently the low base of robot consisting of feet, legs, hips and upper part of robots body. This structure currently has seven degrees of freedom. First, the existing low base of the robot was simulated using Matlab / SimMechanics, where the derived by Newton-Euler model was used. Simulations of the overall structure, including the constructive changes, showed that with these measures a significant improvement of the stability can be achieved.
Heart Disease Prediction Using Naïve Bayes Algorithm and Laplace Smoothing Technique

This paper attempts to utilize the advantages of data mining technique for predicting the presence of heart disease when medical details of a patient are given. The medical details such as age, gender, fasting blood sugar, cholesterol, blood pressure etc. are used to predict the likelihood of having heart disease in a patient. The data mining technique used is a classification algorithm namely Naïve Bayes algorithm and a smoothing technique Laplace smoothing. This paper also compares the accuracy of prediction when the number of medical attributes used for prediction is decreased. The proposed decision support system is believed to avoid unnecessary diagnosis test conducted in a patient and the delay in starting appropriate treatment by quickly diagnosing heart disease in a patient. Thereby it saves both money and time. The decision support system helps doctors to diagnose patients without making unwanted practice variations caused due to doctor’s intuition and inexperience. The system gives a second opinion regarding the patient’s condition as from an experienced doctor since the prediction is made from a historical database containing large number of heart patient records.
Diagnosis of Egyptian Bovine Meat Borne Zoonosis

Food borne zoonoses have a major health impact in both industrialized and developing countries. Meat might be infected with some bacterial and parasitic agents; that could be threatening on human health. One hundred and eight meat samples (20 buffaloes and 88 cows) were collected from different Cairo abattoirs and examined parasitologically and bacteriologically. Results showed that 16.67% and 34.26% of the examined meat samples were infected with bacteria and parasites, respectively. The bacterial isolates were non typhoid Salmonella (50%), E. coli (38.89%) and Mycobacterium bovis (1.11%). Three out of the E. coli isolates (16.67%) were identified as E. coli O157:H7. The liberated parasites were Cysticercus bovis (51.35%) and Toxoplasma gondii (48.65%). ELISA results showed that seroprevalence of toxoplasmosis was 47, 22.7 and 38.42% in human, cows and buffaloes, respectively. The immunoreactive profiles of C. bovis (167.82, 137.32, 88.839, 66.859, 59.851, 54.660 and 48.480 KDa) and T. gondii local tachyzoite (158, 111, 102, 86, 55 and 33 KDa) antigens probed with rabbit hyper immune serum showed one immunoreactive band at 55 KDa. While those of E. coli (182.01, 144.90, 72.558, 60.324, 28.312 and 18.392 KDa) and non typhoid Salmonella (91.967, 60.955 and 20.031 KDa) antigens displayed one common immunoreactive band at 60 KDa. It can be concluded that although immunoblotting help in identification of strains and detection of common cross reactive epitopes between different pathogens, there still exist many challenges and opportunities to improve the current technology of food pathogen detection. [Nawal, A. Hassanain; Mohey, A. Hassanain; Raafat, M. Shaapan; Hassan, A. Fadaly and Ashraf, M. Barakat. Diagnosis of Egyptian Bovine Meat Borne Zoonosis. Journal of American Science 2010;6(12):1526-1533]. (ISSN: 1545-1003). http://www.americanscience. org.
Multicast Multi-path Routing Technology in Mobile ADHOC Networks Improving Power Efficiency

— The proposal of this paper presents a measurement-based routing algorithm to load balance intra domain traffic along multiple paths for multiple multicast sources. Multiple paths are established using application-layer overlaying. The proposed algorithm is able to converge under different network models, where each model reflects a different set of assumptions about the multicasting capabilities of the network. The algorithm is derived from simultaneous perturbation stochastic approximation and relies only on noisy estimates from measurements. Simulation results are presented to demonstrate the additional benefits obtained by incrementally increasing the multicasting capabilities. The main application of mobile ad hoc network is in emergency rescue operations and battlefields. This paper addresses the problem of power awareness routing to increase lifetime of overall network. Since nodes in mobile ad hoc network can move randomly, the topology may change arbitrarily and frequently at unpredictable times. Transmission and reception parameters may also impact the topology. Therefore it is very difficult to find and maintain an optimal power aware route. In this work a scheme has been proposed to maximize the network lifetime and minimizes the power consumption during the source to destination route establishment. The proposed work is aimed to provide efficient power aware routing considering real and non real time data transfer.
CIRCUIT MINIMIZATION IN VLSI USING PSO & GA ALGORITHMS

—: Circuit partitioning is the more critical step in the physical design of various circuit in VLSI. In this partitioning main objective is to minimize the number of cuts. For this PSO algorithm is proposed for the optimization of VLSI inter connection (net list) bipartition. Meanwhile, the corresponding evaluation function and the operators of crossover and mutation are designed. The algorithm is implemented to test various benchmark circuits. Compared with the traditional genetic algorithm (GA) with the same evaluation function and the same genetic operators concerned the hybrid PSO and GA algorithm will give better results.
Two Phase Dynamic Channel Assignment Protocol on Multi-Channel Multi-Interface Wireless Ad Hoc Networks

– Using multiple channel over single channel the performance can be significantly increased since the use of multiple channels can reduce interference influence. Channel assignment is one of the most basic and major concern in such networks. By effectively utilizing multiple non overlapping channels and multiple interfaces, collision and co-channel interference can be reduced. This allows more concurrent transmissions and thus enhances the network capacity. In this technique an interface is allowed to dynamically change its working mode between send and receive on a call-by-call basis, which enhances the utilization of both interface and channel. Unlike existing techniques , in this paper control channel has been taken into account only for transmitting the control information not for transmitting data in any situation . Two channels are grouped into a single channel and assign both the channels together at a time in a particular link for both sending and receiving purpose. The two phases of channel assignment are – (i) Pseudo channel assignment and (iii) Actual channel assignment. A heuristic approach will be used to choose the best path. The best path will be decided using the following parameter – (a) Cost of the path [energy saving] and (b) Interference range [must be less than the threshold value]. After selection of the best path among all the possible paths, the actual channel assignment will be done. With a comparable complexity as the existing schemes, this technique provides much higher system good puts and shorter end-to-end packet delays.
Quercetin, kaempferol and apigenin in roselle (Hibiscus sabdariffa L.)

Roselle has been characterized by its intense red color due to the anthocyanins content. However, anthocyanins are mainly destabilized with sunlight and pH changes, causing a color change due to the oxidation of their double bonds or functional groups, which give them their biological activity of powerful antioxidants. The copigments, which are found within the structures, can be phenols that prevent oxidation and that are more biochemically stable because they stabilize and stop oxidation. The roselle of various colors ordered from higher to lower concentration of flavonoids are: Tecoanapa>Rosaliz>Alma Blanca>Sudan>Cotzalzin.
VIRUS ISOLATION ON CELL CULTURE AND PCR IDENTIFICATION OF INFECTIOUS BURSAL DISEASE IN MOROCCO

VIRUS ISOLATION ON CELL CULTURE AND PCR IDENTIFICATION OF INFECTIOUS BURSAL DISEASE IN MOROCCO TAHIRI Fatima 1* , ATTARASSI Benaissa 2 , BELGHYTI Driss . 1* Doctor, Division of Pharmacy and Veterinary Inputs, National Laboratory of Veterinary Drug Control, PB 4590. Rabat, Morocco. 2 Professor, Laboratory of Biology and Health, Faculty of Sciences, Ibn Tofail University, PB 133, Kenitra, Morocco. 3 Professor, Laboratory of Biodiversity and natural resources. Faculty of Sciences, Ibn Tofail, University, PB 133 Kenitra, Morocco.
Network Reduction Impact on Optimisation Algorithms by Predicting Robot Movement

Recently the size of the neural network has been increasing at a very fast pace. This increases the training time and computation cost required by the neural net. There are various ways to reduce the network to decrease the computation time and resource requirement.This paper measures the impact of network reduction on various optimisation algorithms by predicting Wall-Following robot movement. The network is reduced using the sensitivity of the neurons. Performance of various optimisation algorithms (Adadelta, Adagrad, Adam, Adamax, Rprop and SGD) are compared before and after network reduction. A single hidden layer neural network and a three hidden layered deep neural network are used for this experiment.
Fraud Detection Technique in Credit Card Transactions using Convolutional Neural Network

— Cashless transactions such as online transactions, credit card transactions, and mobile wallet are becoming more and more popular in financial transactions nowadays. With increased number of such cashless transaction, fraudulent transactions are also increasing. Fraud can be detected by analyzing spending behavior of customers (users) from previous transaction data. If any deviation is noticed in spending behavior from available patterns, there may be chance of fraudulent transaction. To detect fraud behavior, bank and credit card companies are using various methods of data mining such as decision tree, rule based mining, neural network, fuzzy clustering approach, hidden markov model or hybrid approach of these methods. In this paper we have used Convolutional neural network with SMOTE. We have transformed original features into new features.