Miracle-dz/UniFAR-FTUs huggingface dataset:
Clomiphene Citrate Alone or Followed by Human Chorionic Gonadotropin In Induction of Ovulation

Objective: To evaluate the incidence of ovulation and pregnancy rates in anovulatory females who received clomiphene citrate (CC) alone and those who received clomiphene citrate then Human Chorionic Gonadotropin (HCG) to trigger ovulation. Patients and Methods: This randomized controlled study was conducted at the infertility clinic of Ain Shams maternity hospital during the period from December 2011 to December 2012.One hundred and fifty ladies, complaining of anovular infertility, were divided into two groups. Group A: 75 ladies received CC only. Group B: 75 ladies received CC plus HCG (choriomon 10000 IU IM) to trigger ovulation when one or more follicles reached 18-22 mm in diameter using transvaginal ultrasound folliculometry. Midluteal serum progesterone was evaluated. Pregnancy was detected with serum β-hCG in blood after missed period then transvaginal ultrasound. Results: There was no significant difference between women of both groups regarding the number of mature follicles (≥ 18 mm in average dimension). Although midluteal serum progesterone ≥ 3 ng/ml (as an evidence of ovulation) was slightly higher in women of group B [CC plus HCG Group] when compared to women of group A [CC Only Group] [63/75 (84%) vs. 55/75 (73.3%), respectively]; the difference was not statistically significant. There was no statistical significant difference between women of both groups regarding pregnancy rates. Conclusion: There is no significant difference between infertile women due to anovulation who received CC alone and those who received CC then HCG in terms of ovulation and pregnancy rates. [Mohamed Elkadi, Amr Elhelaly, Ahmed Ibrahim, Shereen Abdelaziz. Clomiphene Citrate Alone or Followed by Human Chorionic Gonadotropin In Induction of Ovulation. J Am Sci 2013;9(12):708-713]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 91
Shortest Path through Grover’s Algorithm in MATLAB

Classical algorithms have been used to search over some space for finding the shortest paths problem between two points in a network and a minimal weight spanning tree for routing. Any classical algorithm deterministic or probabilistic will clearly used O(N) steps since on the average it will measure a large fraction of N records. Quantum algorithm is the fastest possible algorithm that can do several operations simultaneously due to their wave like properties. This wave gives an O( √N ) steps quantum algorithm for identifying that record, where was used classical Dijkstra’s algorithm for finding shortest path problem in the graph of network and implement quantum search. Also we proposed the structure for non-classical algorithms and design the various phases of the probabilistic quantum classical algorithm for classical and quantum parts. Finally, we represent the result of implementing and simulating Dijkstra's algorithm as the probabilistic quantum-classical algorithm.
Performance Analysis of Impulse Denoising Techniques in Magnetic Resonance Imaging

Medical images are corrupted by noise during their acquisition and transmission. Image denoising involves manipulation of the image data to produce a visually original quality image. The ultimate goal of medical image denoising technique is to compromise between the noise suppression and preservation of image details. The best possible information is required by the clinician for an accurate diagnosis. It has become an essential exercise especially in the Magnetic Resonance Imaging (MRI). In this work, we have taken magnetic resonance images infected with salt and pepper noise and have used three different de-noising techniques namely median filter, adaptive median filter, and a nonlinear cascade filter. All the three filters are used to reduce image noise at different densities and their Peak Signal to Noise Ratios (PSNR) are compared. This experimental analysis helps us increase the accuracy of MRI for easy diagnosis and determine which filter might be best suited for rectification of corrupted MRI.
Consumption Data for the Main Cheeses (Mexican-Style Fresh and Oaxaca) for Dietary Exposure Assessment among the Population of Veracruz City, Mexico Advances in Dairy Research

In tropical areas of Mexico and the world mycotoxin-producing fungi grow in some cereals such as corn. These fungi can contaminate corn with Aflatoxin B1 and subsequently be consumed by dairy cows, which metabolize it into Aflatoxin M 1 . This toxin is potentially carcinogenic for humans and it can be excreted by dairy cows into milk. Much of this milk is converted into cheese. It is therefore essential to assess the exposure of the population to this toxin through the consumption of cheese. Food intake data is the first step to assess exposure of contaminants through food consumption. Therefore, the objective of this study was to design and implement questionnaires to determine the most consumed cheeses among Veracruz City population, consumption rates of these cheeses, as well as to determine the main factors influencing consumption patterns. The two methods used for data collection of the intake of cheeses were a Purchase Frequency Questionnaire and a 7-day food diary. The city of Veracruz is a good representation of the urban population of Mexico (552,156 inhabitants; 232.3 km 2 of surface area). The questionnaires show that the average consumption rate was 50.9 g/person/day and 47.8 g/person/day for fresh and Oaxaca cheeses, respectively. The results of the Purchase Frequency Questionnaire and food diary were confirmed. The methodology used can be applied in other countries requiring not only the assessment risk of exposure to aflatoxin M 1 but also other pollutants through cheese consumption.
VALUE CREATION MODEL IN CORPORATE SOCIAL RESPONSIBILITY

In this competitive era Corporate Social Responsibility (CSR) is a modern method of answerability and responsibility of the business world towards society. The concept of CSR is well-known on the mutual dependence between an organization and society, as well as the factors that is responsible for this relationship. Corporate social responsibility by means of the elements of organization such as strategy, resource and process, business propositions, and stakeholder interactions create value for corporations and society and also can represent an excellence image in both internal and external environment through enhancing accountability for society. This paper focuses on it as a scope of corporate social responsibility for designing a new framework and model. An understanding of the conditions under which CSR may create model is crucial in developing a theory of strategic CSR. These elements can create value in each level of responsibility for corporations and society. Companies have found themselves being held responsible by society at large for matters that traditionally belonged to the field of nation states. Noneconomical themes that before could easily be disregarded when making business decisions have now become connected with the day-to-day running of companies. The data is collected through (1) Primary sources (2) Secondary sources. The data collected through primary sources is sampling. Selection of CSR beneficiaries is from various villages of Kahalgaon block of Bhagalpur district, Selection of beneficiaries is based on simple random sampling. Determining sample size was very crucial. The interview schedule was prepared. It was prepared in a simple way so that the respondent understood easily and gave their answers frankly. The accuracy of the analysis is depended upon the representativeness and reliability of the sample. The analysis is made by using coefficient of variation. Academics can use the results to improve models of CSR.
What Can Pictures Tell Us About Web Pages ? Improving Document

A web search engine is a software system that is designed to search for information on the World Wide Web. In the Existing search engines the accuracy of retrieving the document using the image is low. It is inefficient in the retrieval of documents. The aim of the image search is to retrieve the relevant image with respect to user query from a large image database. We first discuss the homomorphic encryption and Feature/Index Randomized technique that enable similarity comparison between features in the encrypted domain. The encrypted features along with encrypted images can protect image content privacy against untrustworthy service providers and malicious intruders. The ability to generate encrypted indexes on the user side provides an alternative for secure retrieval with reduced communication overhead. We proposed secure k-NN computation that can determine which of using to display result of correct images to the user “active re-ranking” is used. In this method the user intention is captured and used for re-ranking the images. To improve the performance of search, labelling information is collected from user and new method is proposed to actively select more informative query images through structural information. Few images are labelled by user in active re-ranking.
Symptom Dimensions and Insight in Obsessive Compulsive Disorder

The present study was carried out with the intent of systematically examining insight and its relationship with specific clinical characteristics including symptom dimensions in Obsessive compulsive disorder (OCD). Study was conducted at the symptoms Central Institute of Psychiatry, Ranchi, with a 40 OCD patients, who were rated on YBOCS, D, YBOCS and BABS and were divided and analyzed in six symptom dimensions in OCD. Results revealed that the most common dimension was contamination (32.6%) whereas hoarding was least common (3.4%). Better insight correlated significantly with severity across all OCD dimensions except hoarding and sexual/religious dimensions. Significant difference in insight among the symptom dimensions in OCD was seen. Better insight for sexual and aggressive dimensions than for hoarding, symmetry, miscellaneous was observed.
HIK Based Image Classification Using Saliency Based Multiscale Representation

— IK based image classification method is proposed which efficiently classifies the images with less background. HIK kernel is used with saliency driven multiscale fusion. The generated scale space in general preserves or even enhances semantically important structures such as edges, lines, or flow like structures in the foreground, and smoothes clutter in the background. The image is classified using multiscale information fusion based on the original image, the image at the final scale at which the diffusion process converges, and the image at a midscale. The proposed method emphasizes the foreground features, which are important for image classification. The background image regions, whether considered as contexts of the foreground or noise to the foreground, can be globally handled by fusing information from different scales.HIK kernel is used for classification, to handle the cases of incorrect detection of saliency.HIK based visual code book generation algorithm is used for visual vocabulary creation, in order to classify the images with less background effectively. Experiments were conducted in 17 Oxford Flowers, 102 Oxford Flowers and Caltech 101 datasets. The proposed method has an accuracy of 81.3%.
Power Quality Improvement using Grid Tie Solar PV at the Distribution Level

This paper presents a novel control strategy for achieving maximum benefits from these grid-interfacing inverters when installed in 3-phase 4-wire distribution systems. The inverter is controlled to perform as a multifunction device by incorporating active power filter functionality. The inverter can thus be utilized as: A) power converter to inject power generated from RES to the grid, and B) shunt APF to compensate current unbalance, load current harmonics, load reactive power demand and load neutral current. All of these functions may be accomplished either individually or simultaneously. With such a control, the combination of gridinterfacing inverter and the 3-phase 4-wire linear/non-linear unbalanced load at point of common coupling appears as balanced linear load to the grid. This new control concept is demonstrated with extensive MATLAB/Simulink simulation studies and validated through digital signal processor-based laboratory experimental results. Keywords— power quality (PQ), distribution system, grid interconnection, Active power filter (APF), distributed generation (DG), renewable energy.
Recent Development and Computational Solution for Fuzzy Filtering

– This study present recent developments in the field of fuzzy modeling and also provide their detailed MATLAB software implementation. The objective of the study is to provide a general overview of fuzzy modelling and to show how computational intelligence based models contribute to the methodology of constructing models of software processes and products. This study also helps in software developments of some computational optimization methods for fuzzy modeling and data modeling algorithm using a stochastic fuzzy system in the presence of uncertainties. The developed MATLAB software can be used in the field of image processing
I J A M F O MATHEMATICAL MODELING EXPERIMENTAL APPROACH OF THE FRICTION ON THE TOOL-CHIP INTERFACE OF MULTICOATED CARBIDE

The importance of machining process in today’s industry requires the establishment of more practical approaches to clearly represent the intimate and severe contact on the tool-chip-workpiece interfaces. Mathematical models are developed using the measured force signals to relate each of the tool-chip friction components on the rake face to the operating cutting parameters in rough turning operation using multilayers coated carbide inserts. Nonlinear modeling proved to have high capability to detect the nonlinear functional variability embedded in the experimental data. While feedrate is found to be the most influential parameter on the friction coefficient and its related force components, both cutting speed and depth of cut are found to have slight influence. Greater deformed chip thickness is found to lower the value of friction coefficient as the sliding length on the tool-chip interface is reduced.
A Study on Cryptography Aspects and Approaches

— Cryptography is one of the effective tool to provide the secure information transmission over the public channel. To perform the effective and secure information transmission, it is required to identify the requirement and the relative approaches to obtain the security features during transmission. In this work, a study based work is defined on cryptography process. The paper has defined the requirement of information security and its association with cryptography process. The paper also discussed the different cryptography approaches along with adapted procedures.
Survey on Security, Storage, and Networking of Cloud Computing

--Cloud architectures constitute cost-efficient moral fibers that will support the transmission, storage, and computing of the applications contents. These infrastructures can be used for scientific and pervasive computing purposes, business. The services delivered through cloud infrastructures increases their exposure to security incidents and attacks. The expenditure and intricacy reduction requirements render the design and development of protection mechanisms. Solution features such as authentication, anonymity, survivability, confidentiality, privacy, dependability, and fault tolerance, conflicting. The objective of this is to that modern of security and explores research in protection of cloud communications and networking infrastructures. A stress will be made on the association of hand held devices in cloud based infrastructures. The essential concepts of cloud computing security will be explored, counting cloud computing security services
Parallel CRC Generation for High Speed Applications

-- Cyclic redundancy check is commonly used in data communication and other fields such as data storage and data compression, as a essential method for dealing with data errors. Usually, the hardware implementation of CRC computations is based on the linear feedback shift registers (LFSRs), which handle the data in a serial way only, Though the serial calculation of the CRC codes cannot achieve a high throughput. parallel CRC calculation can significantly increase the throughput of CRC computations. Variants of CRCs are used in applications like CRC-16 BISYNC protocols, CRC32 bit in Ethernet frame for error detection, CRC8 bit in ATM, CRC-CCITT in X-25 protocol, disc storage, SDLC, and XMODEM. High speed data transmission is the current scenario in networking environment. Cyclic redundancy check (CRC) is essential method for detecting error when the data is transmitted. About the speed of transmitting data, and to synchronize with speed, it is necessary to increase speed of CRC generation. Starting from the serial architecture a recursive formula was used from which parallel design is obtained. But in this paper presents 64 bits parallel CRC architecture based on F matrix with order of generator polynomial is 32. It is hardware efficient and required 50% less cycles to generate CRC with same order of generator polynomial. In this architecture w= 64 (input) bits are parallel processed and order of generator polynomial is m= 32. If 32 bits are processed parallely then CRC-32 will be generated after (k +m)/w cycles.Where ‘k’ indicates number of data bit and ‘m’ indicates the order of generator polynomial If we increase number of bits to be processed parallely, number of cycles required to calculate CRC can be reduced.
Software Defined Networks’ Security: An Analysis of Issues and Solutions

-Lately, Software Defined Networks (SDN) has received a lot of attention as a new technology which provides more flexibility than conventional network. It is the decoupling of the data plane from the control plane. In the implementation of SDN, three outstanding benefits readily come to mind; network flexibility, speedy service provisioning and efficiency as well as lower operating expense. SDN also has vast potential of programmability, configurability and manageability from its unique character of centralized software control. The exponential growth of mobile devices and content, server virtualization and the introduction of cloud services are among the key computing trends which need new networking architecture. Furthermore, handling today’s “big data” requires extensive parallel processing on thousands of servers, all of which needs secure connections to each other. These massive, complex, and sensitive data and user requirements beckons on a new improved, dynamic and dependable network infrastructure and architecture which is promised on the centralized control based architecture of SDN. This paper attempts to delineate the strengths and weaknesses of SDN. We commence with a listing of identifiable security threats and breaches of SDN. The paper then makes an analysis of previously outlined solutions to identifiable security issues of SDN. We venture further into the horizon of the unknown to predict and identify new security breaches and threats, as well as areas of inherent weakness in the overall SDN architecture and infrastructure. Possible solutions to the identified issues are proffered and analyzed by the paper. In view of the limitations of this research, the paper prescribes possible positions for future researchers to adopt, in order to shed more light to the pertinent security issues of SDN.
FORMULATION AND EVALUATION OF ALLOPURINOL LOADED

Objective: The objective of the present investigation was to fabricate and characterize allopurinol loaded chitosan nanoparticles (A-CNPs) for sustained release of drug. Methods: The allopurinol loaded chitosan nanoparticles were successfully prepared by employing the ionotropic gelation method. Further, particle size (PS), polydispersity index (PDI), zeta potential (ZP), Differential Scanning Calorimetry (DSC), entrapment efficiency (EE), Transmission Electron Microscopy (TEM), in vitro drug release, X-Ray Diffraction (XRD) and Fourier transform infrared (FTIR) were used for evaluating formulated A-CNPs Results: A-CNPs was successfully prepared and the particle size, polydispersity index, ZP and entrapment efficiency were found to be 375.3±10.1 nm, 0.362±0.01 and 32.5±2.7 mV and 52.56±0.10% respectively. In vitro release profile of A-CNPs showed sustained release and Higuchi model was found to be best fit for drug release kinetics. FTIR study depicted no chemical interaction between pure drug allopurinol (AL) and other excipients. Conclusion: The sustained release formulation of allopurinol was successfully prepared using HMW chitosan and evaluated for different parameters.
Photothermal Therapy of Human Cancers ( PTT ) Using Gold Nanoparticles

The rapidly developing research field of nanomedicine has great potential in fighting against a complex disease like cancer. Thermal therapeutics are superior to conventional techniques, as they are minimally invasive and easy to apply, with great capacity to treat tumors entrenched in vital regions where surgical resection is not possible. Simple heating techniques cannot differentiate between tumor and surrounding normal tissue, often heating the tissues found between the source and the target site. This paper illustrates the latest achievements in the applications of gold nanoparticles as photothermal agents against human cancers.
Speech Enhancement using Fractional Order Spectral Subtraction Method

: Spectral subtraction method is proven to be one of the most efficient algorithm for the enhancement of speech. Fractional Fourier Transform (FRFT) is the generalization of the Fourier Transform. The discrete version of FRFT called as DFRFT is defined in several ways by different people. In this paper, a novel spectral subtraction method is proposed by replacing Fast Fourier Transform (FFT) with FRFT. The performance of the proposed system is evaluated in terms of Mean Squared Error(MSE) and Peak Signal to Noise Ratio (PSNR) for different values of fractional order, α and compared with the conventional techniques by using different definitions of DFRFT.