Miracle-dz/UniFAR-FTUs huggingface dataset:
Soil Stabilization using Fly

Mixing of fiber for ground improvement has been practiced for recent years. Many researches has the expected results. This paper mainly deals with the ground improvement technique using both Fly Ash and cotton fiber. The combination of them gives a satisfactory value of its practical application. Both Fly Ash and Cotton fiber are treated as waste materials in our country in spite of having its engineering significances. Here all the tests were performed accepting the Fly Ash percent is 10 for maximum bearing capacity of soil. Three types of sample were prepared as per 0.3%, 0.5%, 0.7% of cotton instances, it deliberately increases the Dry Density of soil up to 48.05 KN/m3 where as normal unreinforced soil sample gives about 22 KN/m3. The Ultimate bearing capacity increases up to 80.65 Kpa whereas the unreinforced soil sample gives for result of California Bearing Ratio (CBR) test gives desired value (23%) than unreinforced soil (17%). The CBR test is performed only for 0.7% of cotton fiber where maximum stress is found. The most significant part in this study is to show the on cotton fiber for ground improvement technique at different ratio. This paper shows the gradual increase in Deviator stress for UCS tests for the increase in the percent of cotton fiber mixing with Fly Ash. This research may meet the need of ground having low strength at important sites.
In Vitro Modulatory Effects of Certain Plant Extracts on T-lymphocytes Proliferation

Herbal drugs are believed to enhance the natural immunity of the human body against viral and microbial infection and improve response; their immunomodulatory activities have been reported in numerous plants. In this study, fifty plant alcoholic extracts were screened for their potential immunomodulatory activity using invitro human lymphocyte transformation assay (LTA). Among the screened extracts, Aralia victoria, Boswellia carteri, Cyperus rotundus, Ginkgo biloba, Glycyrrhiza glabra, Olea europaea and Rosmarinus officinalis were capable to induce 96.67%, 32.22%, 11.11%, 5.56%, 25.56%, 13.33% and 2.22% respectively of lymphocyte transformation in comparison to Concanavalin-A (20.5%). Subsequently, each extract was further subjected to bio-guided fractionation using LTA. The bio-guided fractionation revealed that Dichloromethane and Petroleum-ether fractions from Glycyrrhiza glabra and Boswellia carteri stimulate the transformation of human lymphocytes by 86% and 28% respectively. This finding stimulated the interest to pursue a comprehensive study on the possible contribution of the commonly known and structurally related triterpens of Glycyrrhiza glabra and Boswellia carteri and their derivatives as potential immunomodulators and their possible use as immune enhancer in many infectious and cancer diseases.
GENETIC ALGORITHM BASED COLLABORATIVE FILTERING MODEL FOR PERSONALIZED RECOMMENDER SYSTEM

Recommender systems are one of the business intelligence information filtering systems which provide intelligence by suggesting suitable items according to the interest given by the active user. These systems suffer from challenges like information overload, scalability, sparsity, cold-start problem, accuracy and high dimensionality and still needs improvements. Genetic algorithm (GA) is method for solving optimization problems based on evolutionary ideas for finding a best recommendation out of a large population of attributes. This paper introduces novel genetic algorithm based model for collaborative filtering personalized recommender system for effective retrieval of information. Several experiments have been carried out to evaluate the performance of the model with different factors and evaluation measures using Movielens and Jester real-world datasets. The experimental results show that the proposed model outperforms the conventional models in terms of accuracy.
A Review on the Application of Game Theory to Computer Security

Network security is a complex and challenging problem. The area of network defense mechanism design is receiving immense attention from the research community for more than two decades. However, the network security problem is far from completely solved. Researchers have been exploring the applicability of game theoretic approaches to address the network security issues and some of these approaches look promising. This paper surveys the existing game theoretic solutions which are designed to enhance computer security problems and suggest mainstream approach.
RELIABLE ROUTING IN WIRELESS SENSOR NETWORKS

:-The optimal reliable Multi-hop virtual multiple-input single-output (vMISO) routing in ad hoc networks. Under a high node density regime, Optimal cooperating set cardinality curves are derived, and they can be used to determine the optimal routing strategy based on the required reliability, transmission power, and path loss coefficient. We determine the optimal cardinality of the cooperation sets at each hop on a path minimizing the total energy cost per transmitted bit. We design a new greedy geographical routing algorithm suitable for vMISO transmissions, and demonstrate the applicability of our results for more general networks.
Testing the Capital Asset Pricing Model on Karachi Stock Exchange

The objectives of the paper to evaluate the performance of Capital Asset Pricing Model. applied to company's stocks listed on Karachi stock exchange. The data set contains fifty companies regularly listed in the Karachi Stock Exchange for the period from January 2003 to December 2012.Simple regression model was applied on CAPM. The Results of the Regression indicates that Independent variables market premium, enable us to capture the average returns over the period. CAPM model are correct to serve as proxy for risk.The findings regarding the intercept, as it is signifying-can’t different from zero in most periods, weakens the above results and poses a challenge to the applicability of the CAPM. We suggested that researcher should use the another’s models such as GARCH and Fama and French Models to make a comparison of results with those based on CAPM.
Design and Synthesis of 16 bit Adaptive Digital Filter Architecture

Filtering data in real-time requires dedicated hardware to meet demanding time requirements. If the statistics of the signal are not known, then digital filtering algorithms can be implemented to estimate the signals statistics iteratively. Modern field programmable gate arrays (FPGAs) include the resources needed to design efficient filtering structures. This research aims to combine efficient filter structures with optimized code to create a system-on-chip (SoC) solution for various digital filtering problems. LMS algorithms have been coded in VHDL. The designs are evaluated in terms of filter throughput, hardware resources, and speed performance and to evaluate the mean square error of 16 adaptive digital filters.
Research on the Negative Spillover Effect of Scandal Type on National Image in Product-harm Crisis

When a product-harm crisis occurs in a multinational company, the negative spillover effect is likely to be larger than a country, affecting the national image of the country of origin and other brands of the country. The results of our study showed that consumers' personality characteristics or way of thinking content could moderate the spillover effect of brand scandal on the country image. Specifically, for the consumers with analytic thinking, ability ( vs. morality) brand scandal had greater impact on country image; for the consumers with holistic thinking, morality (vs. ability) brand scandal had greater impact on country image. Moreover, this moderation was mediated by consumers' sense of predictability. The research conclusion can bring certain enlightenment and thinking to enterprises, which is more conducive to enterprises to establish accurate contact with consumers and formulate more effective marketing strategies.
QUALITY BY DESIGN: A MODERN APPROACH TO PHARMACEUTICAL QUALITY

Quality by Design is the modern approach for quality of pharmaceuticals. This paper gives idea about the Pharmaceutical Quality by Design (QbD) and describes use of Quality by Design to ensure quality of Pharmaceuticals. QbD has become the answer to assist both industry and FDA to move towards a more scientific, risk based, holistic and proactive approach to pharmaceutical development. The concept promotes industry’s understanding of the product and manufacturing process starting with product development, basically building quality in, not testing it. It includes the Quality target product profile, critical quality attributes and key aspects of Quality by Design. It also gives comparison between product quality by end product testing and product quality by Quality by Design. The foundation of Quality by Design is ICH Guidelines. It is based on the ICH Guidelines Q8 for pharmaceutical development, Q9 for quality risk management, Q10 for pharmaceutical quality systems. It also gives application of Quality by Design in pharmaceutical development and manufacturing of pharmaceuticals.
Detection of Physical Jamming Attacks in MANETs

— Because of the wireless type of the channel and particular features of MANETs, the radio interference attacks cannot be removed by conventional security procedures. These attacks result a important degradation on whole network packet transmission rates, throughput and delay on the MAC layer. A harmful node can continually transfer a radio signal in order to stop any kind of logical access to the medium and/or generalize with response. This process is known as jamming and the harmful nodes are called as jammers. The routing protocols of MANET could enhance system performance by enhancing data lost and throughput. To decrease the effect of the interruption, it is significant to detect its presence. Thus, in this paper, an improved detection mechanism has been suggested for detecting the physical jamming attacks in Ad Hoc on Demand Routing protocol thus decreasing the delay and enhancing the throughput. The results of the suggested mechanism are compared with the available mechanisms i.e. USM and RAS.
Tuberculosis of Breast: Case Report

Tuberculosis (TB) is a significant health problem. It is more common in the developing parts of the world, but there has been an emergence and reemergence of TB in industrialized countries due, in part, to migration. Other causal factors include the appearance of drugresistant strains of Mycobacterium tuberculosis and increasing number of immunosuppressed patients [1]. HIV is among the main contributors to this increased frequency of TB [2]. Diabetes is also a very common risk factor and is associated with an approximately three times increased risk for contracting TB [3]. Because the clinical presentation of TB is vague and insidious, the diagnosis is often delayed. Clinical suspicion is the key to the early diagnosis and prompt management, as well as the prevention of the disease’s spread. The lungs are the most commonly affected organs, but TB may affect any organ system in the body, including the breast, bone & GIT. Breast imaging findings may simulate those of more common neoplastic and infectious diseases. Considering the difficulty of growing M. tuberculosis bacilli, imaging may play a crucial role for the diagnosis, treatment guidance, and follow-up of these patients [4]. Tuberculosis (TB) may present with highly variable imaging findings. The findings may vary from nonspecific mastitis to abscesses or solid focal lesions.
Treatment of Patients with Relapsed/Refractory Multiple Myeloma (MM) with Lenalidomide and Dexamethasone with or without Bortezomib: Prospective Evaluation of the Impact of Cytogenetic Abnormalities.

Abstract 958 The addition of bortezomib (B) to lenalidomide and dexamethasone (RD) regimen seems to increase RD efficacy. In a prospective study conducted in the Department of Clinical Therapeutics of the University of Athens (Greece), patients with pre-existing peripheral neuropathy (PN) grade 300 IU/dL (UNL=225 IU/dL) and 27 (29%) had ISS-3 MM. Patient characteristics and cytogenetic findings were similar between RD and BRD. On an intent to treat basis, 83 patients (43 in BRD and 40 in RD) are evaluable for response (IMWG criteria) so far: objective response (OR, i.e. PR or better) after BRD and RD was 61.9% and 60%, respectively (p=0.75). Sixteen (38%) of 42 thal-refractory patients achieved an OR. Median time to best response was 2 months (range 0-15 months) for RD and 1 month (0-13 months) for BRD (p=0.125). Factors associated with less than PR after treatment included thal-resistance (p=0.002), high LDH (p=0.008), non-hyperdiploid karyotype (p=0.004), presence of del17p (p=0.002) and poor-risk cytogenetics (p=0.014). However, add1q21 (p=0.576), t(4;14) (p=0.896) and poor-risk cytogenetics (p=0.42) could not predict for less than PR to BRD but they did for RD (p=0.009, 0.033 and 0.006, respectively). Median TTP was 7 months (range 0-17 months) and median OS was 16 months (range 0-28 months) with no differences observed between BRD and RD. Variables associated with shorter TTP in all patients included del17p (p Disclosures: Dimopoulos:CELGENE: Honoraria.
Impact of Free-range Poultry Production Systems on Animal Health, Human Health, Productivity, Environment, Food Safety, and Animal Welfare Issues

As farmers in the United States try to develop new poultry operations, there are two main possibilities. The first is to work within the existing vertically integrated systems. The second is to develop independent, smaller operations. Those that choose the second option look toward alternative production systems, such as free-range poultry production. As such, these individuals often find that there is a distinct lack of usable definitions and knowledge, as well as a great deal of confounding research related to this field. The popularity and beliefs associated with what some consider a return to old systems are very strong and have not dissipated. The consumer has worked to fuel this movement toward free-range, organic, or even simply what some consider natural poultry production. This publication serves to review what is known about poultry egg and meat production with specific attention to available research on free-range production systems. Stressors related to alternatively housed and managed birds, as well as the known advantages and disadvantages for farmers, are reviewed. Food quality and food safety in regard to poultry meat and eggs are often understood by farmers and consumers as one and the same. Clarification of food quality and food safety with regard to poultry COUNCIL FOR AGRICULTURAL SCIENCE AND TECHNOLOGY 2 Authors Jacqueline P. Jacob, Cochair, Department of Animal and Food Sciences, University of Kentucky, Lexington Anthony J. Pescatore, Cochair, Department of Animal and Food Sciences, University of Kentucky, Lexington Kenneth E. Anderson, Prestage Department of Poultry Science, North Carolina State University, Raleigh CAST Issue Paper 61 Task Force Members Brigid McCrea, Alabama Cooperative Extension System, Auburn University, Alabama Daniel P. Shaw, Veterinary Diagnostic Laboratory, University of Missouri, Columbia
Face Recognition Techniques - An evaluation Study

---------------------------------------------------------------- ABSTRACT ------------------------------------------------------------------ Face recognition is the ability of categorize a set of images based on certain discriminatory features. Classification of the recognition patterns can be difficult problem and it is still very active field of research. The paper introduces conceptual framework for descriptive study on techniques of face recognition systems. It aims to describe the previous researches have been study the face recognition system, in order scope on the algorithms, usages, benefits , challenges and problems in this felids, the paper proposed the face recognition as sensitive learning task experiments on a large face databases demonstrate of the new feature. The researcher recommends that there's a needs to evaluate the previous studies and researches, especially on face recognition field and 3D, hopeful for advanced techniques and methods in the near future .
Modular Design and Control of Humanoid Robot Arm

— Humanoid robots are used to mimic the human movement in human oriented environment. They are designed and built to work autonomously with no harm to human. In this paper design, and control of humanoid robot arm is concentrated. Modular design of humanoid robot arm extended more flexibility and variety in use of arm.The modular arm resembles actual human arm in movement and appearance, is built using PMDC motors, gear trams, breaks and motor drives. The modular design of humanoid arm is having 7-Dof similar to human arm. The mechanical modular design made it sufficiently small and compact compared to currently available Humanoid robot arm. The developed arm is controlled using the PIC 18F4580 microcontroller. The multi finger gripper is capable of grasping any shape object very precisely. For getting the amount of force applied on object while grasping, flexi force sensor strip is attached to each finger in contrast to previously used pressure pads. The developed modular arm is more suitable for human interactive task. Arm is composed of links and modular joints so that arm can handle 3kg payload even with full arm extension.
Segmentation of Multispectral Images using Local Spectral Histogram and Regression Method

— High resolution satellite imagery has become an significant source of information for geospatial applications. In this paper, we developed a novel method for automatically segmenting images into different regions consequent to various features of texture, intensity. Image segmentation can be performed on raw data, but also on transformed for high resolution images, on textural features. Segmentation of high resolution satellite images is useful for obtaining more well-timed and accurate information. Linear filters which used to provide improved spatial patterns and we compute combined texture and spectral features for each pixel location using local spectral histograms. Each feature as a linear combination of number of representative features and each of which corresponds to a segment. Segmentation is the method partitioning into different regions which estimating combination weights, it designate segment ownership of pixels. We also investigated the scale issue and algorithm automatic scale selection.
Stem cell-based ovarian cancer suicide gene therapy

of the dissertation. ii Dedication.iv Chapter 1: Introduction . 1 Chapter 2 : Suicide Gene Therapy of Cancer . 5 2.1 Cancer Gene Therapy . 7 2.2 Suicide Gene Therapy . 8 2.3 Important Factors that Impact the Success of Suicide Gene Therapy . 10 2.3.1 Enzyme/prodrug systems . 11 2.3.2 Gene Delivery Vehicles (Vectors) . 13 2.4 Conclusion . 17 Chapter 3 : Use of Stem Cells for Cancer Suicide Gene Therapy . 19 3.1 Stem Cells in Cancer Therapy: Proof-of-Concept . 21 3.2 Tumor Tropism of Stem Cells . 23 3.2.1 Evaluation of tumor tropism of stem cells in vitro . 23 3.2.2 Evaluation of tumor tropism of stem cells after injection in tumor vicinity . 25 3.2.3 Evaluation of tumor tropism of stem cells after intravenous injection . 27 3.3 Tracking the Stem Cells . 31 3.4 Conclusion . 37
RS CODED OFDM BY UNIQUE WORD PREFIX

— We expand our recently introduced concept of unique word orthogonal frequency division multiplexing (UW-OFDM). In UW-OFDM the cyclic prefixes (CPs) are replaced by deterministic sequences, the so-called unique words (UWs). The UWs are generated by appropriately loading a set of redundant subcarriers. By that a systematic complex number Reed–Solomon (RS) code construction is introduced in a quite natural way, because an RS code may be defined as the set of vectors, for which a block of successive zeros occurs in the other domain w.r. t. a discrete Fourier transform. (For a fixed block different to zero, i.e., a UW, a coset code of an RS code is generated.)A remaining problem in the original systematic coded UW-OFDM concept is the fact that the redundant subcarrier symbols disproportionately contribute to the mean OFDM symbol energy. In this paper we introduce the concept of non-systematic coded UW-OFDM, where the redundancy is no longer allocated to dedicated subcarriers, but distributed over all subcarriers. We derive optimum complex valued code generator matrices matched to the best linear unbiased estimator (BLUE) and to the linear minimum mean square error (LMMSE) data estimator, respectively. With the help of simulations we highlight the advantageous spectral properties and the superior bit error ratio (BER) performance of non-systematic coded UW-OFDM compared to systematic coded UW-OFDM and to CP-OFDM in additive white Gaussian noise (AWGN ) as well as in frequency selective environments.
Harmonics Reduction in Doubly Fed Induction Generator Using Unified Power Flow Controller

This paper present a control of harmonics by using of Unified Power Flow Controller (UPFC). and also control of total harmonics distortion (THD) in the wind based energy system due to the fluctuation in wind power and the stability problem and also controlling of DFIG in the power plant. Unified Power Flow Controller (UPFC) is used to control the power flow in the transmission system and also to control phase angle, line impedance and voltage magnitude. The main scope of this paper involves simulation of DFIG based wind energy conversion system with UPFC using MATLAB/SIMULINK. Keywords-Doubly Fed Induction Generator (DFIG), UPFC, THD, Harmonics, STATCOM, SSSC
HDL Implementation of an Efficient Partial Parallel LDPC Decoder Using Soft Bit Flip Algorithm

Nowadays Low Density Parity Check Codes (LDPC) is more in demand in Wireless Communication Systems due to its excellent performance. Use of LDPC code for encoding and decoding purposes found to be more reliable and highly efficient data transfer over wide bandwidth in presence of corrupting noise. Various Algorithms were used to interpret LDPC codes. Out of which Sum Product Algorithm and Min Sum Algorithm are very much complicated because of their high interconnection complexity, high memory requirement, high variable and check node column degree but their error correcting performance is best as compared to other decoding algorithms. Bit flipping algorithms have lower interconnection complexity because it require only small amount of simple computations. We have used soft bit flip algorithm for decoding which uses advantages of both sum product algorithm and bit flip algorithm. Therefore, soft bit flip algorithm reduces the interconnection complexity and its error correction performance is near to min sum and sum product decoding algorithms. VLSI architecture of Soft Bit Flip Algorithm based Decoder is proposed which uses the value reuse property of Bit Flip Algorithm results in high throughput. The 64-bits half code rate LDPC decoder is designed using Xilinx xc5vlx110t-2ff1136 FPGA device. The calculated decoding throughput is 1.13 Gbps. The pipelining system used in LDPC decoder architecture results in enhanced decoding throughput.The proposed work has been implemented and synthesized using Xilinx ISE 14.7 and Virtex-5 Field Programming Gate Array.
A MULTI-DOCUMENT HINDI TEXT SUMMARIZATION TECHNIQUE USING FUZZY LOGIC

Today it is very difficult, laborious and time consuming task to extract information manually from large amount of data available. Many summarization techniques have been developed for English language but very less research work is carried out in the area of Hindi text summarization. Until now we have done Hindi text summarization on single source document. In the proposed system, the idea is to summarize multiple Hindi text documents, using sentence extractive method. This summarization is based on features extracted from documents such as sentence length, sentence position etc. Some new features namely Hindi cue phrase, Hindi-English common words, presence of URL’s or email addresses in sentences have been introduced. Thus, the proposed system can be used for Hindi text summarization of multiple documents based on Fuzzy logic system.