Miracle-dz/UniFAR-FTUs huggingface dataset:
ANTI CANCER PROPERTY OF PLANT PRODUCTS Ratnakaram

Plants as well as plant derived compounds have played significant role in the development of a number of clinically used anti-cancer agents. These include vinblastine, vincristine, the camptothecin derivatives, topotecan and irinotecan, etoposide, derived from epipodophyllotoxin, and paclitaxel. Quite a lot of promising new agents are in clinical development based on selective activity against cancer-related molecular targets, including flavopiridol and combretastin A4 phosphate, and some agents which failed in earlier clinical studies are stimulating renewed interest. Also there are some of the semi synthetic plant derivatives which are clinically used as potential anti cancer agents. The traditional and the preliminary scientific work on these plant products are giving promising results, further research in the same is to be continued to derive potent anti cancer agents from medicinal plants.
Data Sharing towards Integrated Secure Key Encryption System with Big data in Cloud Computing

-These day's Cloud computing developed as a practical and demonstrated conveyance stage for giving business or purchaser IT services over the Internet. Be that as it may, the services given by the cloud are of outsiders, experiencing security and protection of the clients BIG Data is basic at cloud storage. This paper displayed a methodical report on the feasibility of elliptic bend cryptography in anchoring BIG Data at cloud storage. Based on the deliberate investigation a protected gathering correspondence structure is additionally displayed in this work. This work accept the cloud storage is raised with Hadoop based data focus. So as to do efficient investigation private key calculations (EC, RSA), open key calculations (AES, DES) and half and half calculation (Elliptic bend Dephihelmen ECDH) are considered to check the BIG Data security at cloud based data focus. From the trial results this examination prescribes that for the unbound key sharing channel Elliptic Curve (EC) based cryptographic calculations are very secure than RSA and private key calculations.
Survey of Secure Data Auditing in Cloud

Cloud computing, also known as on-demand computing is a kind of Internet-based computing, where shared resources, data and information are provided to computers and other devices on-demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources. But Cloud is not trusted entity, it may read the uploaded data for his benefit. Thus, privacy and integrity of uploaded data is of main importance. The simple solution is to use encryption and signature for privacy and integrity of data. There are different researches who work on this problem. This paper focuses on various privacy and integrity protection techniques in cloud. The objective of this paper is to study various public auditing schemes that will keep users identity private in overall auditing process.
A Secure Hierarchical Protocol for Wireless Sensor Networks

: - The literature for considering routing protocols in wireless sensor networks (WSNs) is very broad. However, security of these routing protocols has fallen beyond the scope so far. Routing is a fundamental functionality in wireless networks, thus hostile interferences aiming to disrupt and degrade the routing service have a serious impact on the overall operation of the entire network. Gathering sensed information in an energy efficient manner is also critical for increasing the lifetime of the network. We propose a formal framework for the security analysis of a clustering-based hierarchical routing protocol, S-PEGASIS, for wireless sensor networks. Our approach is based on the well-known simulation paradigm that has been used to enhance the security of the protocol. Our main contribution is the application of the simulation approach to incorporate security into the model in order to make it more energy efficient as compared to the others in its class. We further point out that our protocol is scalable and its transmission time complexity is logarithmic in nature. We also point out that security can be further extended by providing link layer and physical layer security mechanisms so that trusted nodes on the chain (S-PEGASIS) can never be hacked.
Prevalence of Diabetes Mellitus among Patient Presented in EndocrinologyClinic at King Abdul-Aziz Hospital and Oncology Center – Jeddah – 2014

Background: Diabetes mellitus (DM) is a major public health problem worldwide. The epidemiology of DM has changed by new recommendations for the diagnosis of diabetes. Therefore, we designed this study with the objective to determine the prevalence of DM among Saudis of both sexes, between the ages of 20 70 years in rural as well as urban communities. Results: The prevalence of DM was 62.5%; of them 37.94%men and 24.57%women. The prevalence of DM increased with age of patients over45 years 44.15%. DM was associated with various measures of adiposity. DM was also associated with and family history of diabetes mellitus, dyslipidemia, hypertension, and least with cardiovascular disease in both sexes. Conclusion: The overall prevalence of DM in adults in KSA is 62.5%. With a desire of targeting high risk groups should be implemented for prevention of DM by organizing a national prevention program at community level. For practical and logistic reasons, the study population was drawn from the local primary health care centers’ catchment’s areas. The catchment’s population of each primary care center was taken as a cluster.
EFFECTIVE SVD-YCBCR COLOR IMAGE WATERMARKING

In this paper, a blocked-SVD based color image watermarking scheme is proposed in which, to embed the color watermark, two levels SVD are applied on Y channel of the converted host image. Moreover, to more security, imperceptibility and robustness, the watermark insertion is done using zigzag method on non-overlapping blocks. The experimental results reveal that the proposed algorithm not only satisfies the imperceptibility and watermarking robustness against different signal processing attacks such as JPEG compression, scaling, blurring, rotation, noising, filtering and etc., as well, rather, has better values compared to the existing works.
SECURE DIGITAL IMAGE TRANSMISSION BASED ON RSAES-OAEP ASYMMETRIC CRYPTOSYSTEM

Today, with the growth of technology, security is an important issue in communication. In many application, the transmission of data (massage, image and so on) is needed to provide security against from prevent unauthorized users. Cryptography is a technique that provides the secure communication. The two widely accepted and used cryptographic methods are symmetric and asymmetric. There are so many different techniques should be used to protect confidential image data from unauthorized access. This system provides secure image transmission between sender and receiver. This system uses Optimal Asymmetric Encryption Padding (OAEP) with RSA encryption algorithm to provide security during transmission. Only public key cryptography is focused here. Public-key cryptographic algorithm relies on one key for encryption and a different but related key for decryption.
BRAIN COMPUTER INTERFACE BASED ON INTERSUBJECT INFORMATION FOR LOCKER SAFETY

This paper presents a Brain Computer Interface for Locker Safety in which we are implementing a safety opening of the locker using individual person brain signal. It is scientifically proved that the brain signal image is unique for each person; no way it is related to other person. Here we proposed a system to open the locker only when the authenticated person thinks that it should open, it will be highly secured. In this proposed prototype system the brain signals are stored in the system as a binary file in a directory, this will act as a temporary database. And whenever the user give the image to the system it will perform the array comparison with the image which is already stored in the system, if it gets matched the system will perform the function in order to open the locker, if image does not get matched, the operation will not be performed.
Modified Data Analysis of Big Data Using Map Reduce In Hadoop Process

With the advancement of PC innovation, there is a colossal increment in the development of information. Researchers are overpowered with this expanding measure of information handling needs which is getting emerged from each science field. A major issue has been experienced in different fields for making the full utilization of these expansive scale information which bolster basic leadership. Information mining is the strategy that can finds new examples from huge informational indexes. For a long time it has been examined in a wide range of utilization territory and in this way numerous information mining strategies have been produced and connected to rehearse. However, there was a colossal increment in the measure of information, their calculation and investigations as of late. In such circumstance most established information mining strategies wound up distant by and by to deal with such enormous information.
Design and Implementation of 4-bit Decimal Multiplier using Sign Magnitude Encoding

-Decimal X×Y multiplication is a complex operation, where intermediate partial products (IPPs) are commonly selected from a set of pre-computed radix-10Xmultiples.Some works require only[0,5]×Xvia recoding digits of to one-hot representation of signed digits in [−5,5]. This reduces the selection logic at the cost of one extra IPP. Two’s complement signed-digit (TCSD) encoding is often used to represent IPPs, where dynamic negation (via one xor per bit of X multiples) is required for the recoded digits of Y in[−5,−1]. In this paper, despite generation of 5IPPs, for 4-digit operands, we manage to start the partial product reduction (PPR) with 5 IPPs that enhance the VLSI regularity. Moreover, we save 75% of negating xors via representing pre-computed multiples by sign-magnitude signed-digit (SMSD) encoding. For the first-level PPR, we devise an efficient adder, with two SMSD input numbers, whose sum is represented with TCSD encoding. Thereafter, multilevel TCSD 2:1 reduction leads to two TCSD accumulated partial products, which collectively undergo a special early initiated conversion scheme to get at the final binary-coded decimal product. As such, a VLSI implementation of 4×4-digit parallel decimal multiplier is synthesized, where evaluations show some performance improvement over previous relevant designs.
THE EFFECT OF EXPLICIT INSTRUCTION BY USING PHRASE STRUCTURE RULES ON ACQUISITION OF NOUN CLAUSES

The aim of the study was to examine the effect of explicit instruction by using phrase structure rules on acquisition of noun clauses functioning as a subject, an object of a verb and an object of the preposition since they are considered a complex structure that poses difficulty for students learning English. The participants were one class of 12th grade students studying at a secondary school in Surin, Thailand. The instruments used to collect the data were a pretest and posttest and a semi-structured interview. There were 16 training sessions. Each session was conducted within the 50-minute class period. The results of the tests showed that the explicit instruction using phrase structure rules helped improve the participants’ knowledge of noun clauses and helped the participants acquire noun clauses. The results of the semi-structured interview revealed that the participants’ opinions toward the explicit instruction using phrase structures rules were mostly positive. Many of them said that phrase structure rules helped them understand the structures and functions of noun clauses, which also helped improve their reading skills.
Manejo de la Hemorragia de Tubo Digestivo Alto. Trabajo de posición

La hemorragia de tubo digestiva alto (HTDA) es quizá una de las indicaciones más frecuentes para realizar un estudio endoscópico y es también una de las áreas donde más impacto ha demostrado. Es también una causa frecuente de consulta de urgencia y en general no existen variaciones geográficas grandes en cuanto a su etiología o frecuencia por lo que un Consenso de manejo puede tener gran impacto por su aplicabilidad generalizada. La incidencia de HTDA es de entre 40 a 150 casos por 100,000 personas/año. Además, la incidencia de eventos clínicamente significativos aumenta con la edad, particularmente en mayores de 60 años y en especial en pacientes de sexo masculino. La mortalidad, en especial, se asocia principalmente con la edad avanzada y la presencia de enfermedades concomitantes como tumores, cirrosis o enfermedades respiratorias crónicas, de tal manera que aproximadamente sólo la tercera parte de las muertes asociadas a episodios de HTDA se deben a la hemorragia misma. Aunque existen una gran variedad de causas, la más frecuente desde el punto de vista de significancia clínica en varias series, es la HTDA secundaria a úlcera péptica gastroduodenal. Desafortunadamente no existe en la mayoría de los países de nuestra área geográfica, un registro detallado de la etiología de la HTDA. En México, en una revisión de todos los trabajos publicados (18) como resúmenes en congresos que juntan 4,883 pacientes, se confirma que las complicaciones de la enfermedad ácido-péptica son la causa más frecuente de hemorragia: 25% para úlcera duodenal y gástrica combinadas y más de 26% para gastritis erosiva.
Jamming Attacks and their Prevention in Wireless Networks

: In this paper, Jamming Attacks in context of a wireless network are discussed. Wireless networks are more vulnerable to jamming attacks because of their shared wireless medium. These attacks can be easily perpetrated by an attacker by emitting radio frequency signals. they attempt to deny the user from using available network resources. Jamming attacks are dreadful Denial-of-service attacks against the wireless medium. In this paper, Different Types of Jammers that can be used to disable the operation of wireless networks and to prevent these attacks, schemes such as Steganography, Data Hiding Schemes, DES are discussed. This paper also investigates the solutions to decrease the jamming rateas well as to reduce the effectiveness of jammer using honeypot as a contingency plan.
Novel Technique to Implement Low Power Differential Delay Cell Ring VCO with Variable Centre Frequency

Ring VCO with variable center frequency incorporating the design of differential delay cell working at low power is illustrated in the current research work. Concept of variable frequency with low power consumption is a novel VCO implementation technique. A differential delay cell is used to generate variable frequency to design a ring VCO at 32 nm technology operated at 1.2 V power supply voltage to achieve low power and low phase noise characteristics. Five stage ring VCO is designed with switches, to ensure that one stage works at a time, keeping two stages off. This switching of stages is dependend on the desired frequency of operation by the VCO. The proposed research work also facilitate the additional computation of width and length of PMOS and NMOS transistor along with the computation of optimal parameters. At 1 MHz offset frequency, the proposed VCO achieves phase noise of 105.53 dBc/Hz with minimum power consumption of 1 mW. The proposed VCO is poised to act as a major building block of a multi-standard wireless communication system such as GSM, Blue tooth, and 802.11g ZigBee applications.
Hopf- Bifurcation Analysis of Delayed Prey-Predator System

The present paper deals with a SIS (Susceptible Infected Susceptible) predator-prey model with disease in prey species only. It is assumed that the predator species only predates the infected prey with Holling type II functional response. It is assumed that predator growth is not instantaneous after consuming the prey and a discrete time lag for gestation of predator is required. The conditions for Hopf bifurcation around the interior equilibrium point are also derived. Finally, numerical simulations supporting the theoretical results are given.
Radiotherapy Conformal Wedge Computational Simulations,Optimization Algorithms, and Exact Limit Angle Approach

Radiotherapy wedges constitute an important group within the generic classification of so-called Beam Modification Devices (BMD). Wedges are subdivided into Static, Dynamic, and Omni Wedges sug-groups. The standard static wedge attenuates the beam progressively, in such a way that the dose delivery is higher at the thin side, and lower at the broader side. The slope of the inferior surface has the geometry of the hypotenuse of a triangle, formed by the lateral wall of the wedge. Conformal/Standard radiotherapy wedges [refs 3-7,Casesnoves 2005] present several bioengineering-industrial design difficulties to obtain an optimal beam/beamlets-IMRT upper-surface radiation distribution,avoiding that them could emerge undesirably from lateral walls instead the lower wedge plane.We calculated the improved exact beamlet limit-angle mathematical method for a standard/conformal wedge filter design.It was developed with basic mathematical algorithms,geometrical design,and Numerical Simulations linked to this mathematical formulation.All that was done using the AAA algorithm integral attenuation exponential factor [AEF],which modulates the convolution kernel of the integral dose delivery.Results comprise the geometrical design of the conformal wedge,showed in several sketches,and simulations with appropriate software. In addition,a series of geometrical formulas/tables for the beamlets limits,trigonometric AEF background,and mathematical formulation with the simulations of the AEF for a 2-steps conformal wedge are obtained.
Rigorous bounds for polynomial Julia sets

We present an algorithm for computing images of polynomial Julia sets that are reliable in the sense that they carry mathematical guarantees against sampling artifacts and rounding errors in floating-point arithmetic. We combine cell mapping based on interval arithmetic with label propagation in graphs to avoid function iteration and rounding errors. As a result, our algorithm avoids point sampling and can reliably classify entire rectangles in the complex plane as being on either side of the Julia set. The union of the rectangles that cannot be so classified is guaranteed to contain the Julia set. Our algorithm computes a refinable quadtree decomposition of the complex plane adapted to the Julia set which can be used for rendering and for approximating geometric properties such as the area of the filled Julia set and the fractal dimension of the Julia set.
Design of a Layered Component-Based System for Sharing Visualization Objects in Collaborative Environments

: This paper presents a layered component-based system approach aiming at providing facilities for cooperating in Collaborative Visualization Environments by sharing the state of the visualization between users. The requirements addressed by the system concern scalability, decoupling, abstraction, and application-independence. The proposed component-based system is structured into two different layers: (i) Collaborative Middleware Layer, responsible for notifying users when events occur, and (ii) Collaborative User Layer, in charge of intercepting and executing user requests. The paper presents also a collaborative task flow diagram, which shows the sequence of procedures that must be completed to create and share visualization objects. The applicability of the system is illustrated by a healthcare case study, in which two users interact with each other as well as with visualization objects in a shared collaborative environment. The visualization objects are generated by applying two different reconstruction techniques to medical images coming from various modalities like Computed Tomography and Magnetic Resonance Imaging: Ray Casting and Multiplanar Reconstruction.
Accelerating Map-Reduce using Distributed Cache as Middleware with Partial Pre-shuffling on Hadoop Cluster and Securing Memcached Server Accelerated Map-Reduce Implementation on Hadoop Cluster

- Map-Reduce is a widely-used model for data parallel applications enabling easy development of scalable programs on clusters of commodity machine. Advancements in disk capacity have greatly surpassed those in disk access time and bandwidth. As a result, disk based systems are finding it increasingly difficult to cater to the demands of a cluster-based system. A cache memory has faster data access rate than normal disk. In this paper, we have implemented a method to improve the performance of map-reduce by using distributed memory cache as middleware between the map and reduce phase with highly secure memcached server. Moreover, it provides partial combining of data along with the Map task itself, so called partial pre-shuffling. The project also provides data assurance of intermediate key-value pairs via a web interface. The results of the overall setup were promising over a Hadoop cluster.
Protein Analysis of Canned Legumes by using Visible Spectrophotometry and Kjeldahl Method

Legumes are one of dietary protein source. Protein is usually measured as crude protein which is called as the total protein in food and is determined using Kjeldahl method. But, along with advances in bioanalysis, many methods are being developed to facilitate the substance analysis. One of the method which is commonly used is spectrophotometry methods. This method is commonly used because its simplicity and rapidity. The purpose of this study is to determine the protein concentration of canned legumes using visible spectrophotometry and to recognize the difference between spectrophotometry and Kjeldahl method. Five canned legumes which are green peas, peanuts, flageolet beans, ginkgo nuts and kidney beans were used. Protein determination was applied by using visible spectrophotometry with Biuret as the reagent at maximum wavelength 553.36 nm and Kjeldahl method. The result show that the protein contents obtained using visible spectrophotometry with Biuret reagent are: 1.37 ± 0,0308 g/100 g in green peas; 1.36 ± 0.0247 g/100 g in peanuts; 2.77 ± 0.0263 g/100 g in flageolet beans; 1.44 ± 0.0728 g/100 g in ginkgo nuts; and 2.26 ± 0.0126 g/100 g in kidney beans. Protein contents obtained using Kjeldahl method are: 3.98 ± 0.4691 g/100 g in green peas; 3.30 ± 0.2249 g/100 g in peanuts; 5.41 ± 0.5156 g/100 g in flageolet beans; 3.56 ± 0.3332 g/100 g in ginkgo nuts; and 5.73 ± 0.2458 g/100 g in kidney beans. Among all five canned legumes that have been analyzed using visible spectrophotometry with Biuret reagent, green peas and peanuts have almost the same amount of protein content, but the contents are lower than in ginkgo nuts, kidney beans and flageolet beans.
Critical Success Factors for ERP Implementation towards

Over the past few years, Enterprise resource planning systems (ERP) have become successful in information technology. The implementation of ERP is large. It includes large number of people to solve the problem of complex project . ERP system basically used to control and organize all the resources, information and function of the organization. ERP systems firstly work with the planning and determine the resource usage in the business. ERP contain large amount of resources and describe how these resources utilized. In spite of the success in ERP system implementation there is high failure in ERP implementation. The major problem are people related. All the users of the ERP system should be trained properly. The success of the organization depends upon the package if the package is not right then it will create a lot of trouble. The package covers all the function of an organization. The cost of implementation depends upon the size and complexity of the projects. The ERP implementation system can help in provide better service to the customer and the organization and deliver good quality products to the customer. The direct benefits of an ERP system are flexibility, business integration and so on. The very essential step of ERP implementation is the phase called GAP ANALYSIS which is the gap between requirement of the company and the