Miracle-dz/UniFAR-FTUs huggingface dataset:
Online Generalization on User Profiles to Protect the Personal Privacy without Compromising the Search Quality

: Personalized web search (PWS) has demonstrated its effectiveness in improving the quality of various search services on the Internet. The surveys show that users’ reluctance to disclose their private information during search has become a major barrier for the wide proliferation of PWS. To protect user privacy in profile-based PWS, we have to consider two contradicting effects during the search process. On the one hand, to attempt to improve the search quality with the personalization utility of the user profile. On the other hand, to need to hide the privacy contents existing in the user profile to place the privacy risk under control. A few surveys , suggest that people are willing to compromise privacy if the personalization by supplying user profile yields better search quality. Here we use a more efficient index structure, the Generalized Inverted IndeX (Ginix), which merges consecutive IDs in inverted lists into intervals to save storage space. With this index structure, more efficient algorithms can be devised to perform basic keyword search operations. Thus, user privacy can be protected without compromising the personalized search quality. Now, there is a tradeoff between the search quality and the level of privacy protection achieved from generalization.
Effect of Some Dormancy Breaking Agents on Fruit Quality and Storability of Florida Prince Peach

This elucidate was carried out during the two successive seasons of 2012 and 2013 to study the effect of some dormancy breaking agents on fruit quality of Florida prince peach variety under cold storage conditions. All treatments were done on 23 Dec. The results showed that fruit weight loss (%), decay (%), T.S. S. (%) and T.S. S. /acid ratio of fruit juice were increased with prolonging the period of cold storage, while fruit firmness as well as total acidity were decreased. Milagro at 0.06% was the best treatment for improving the peach fruit quality under cold storage conditions comparing with other treatments and control. [Fahmy M. A. , Baghdady G. A. , Abd-Elrazik A. M. , Abdrabboh G. A. and Kabsha, E. A. Effect of Some Dormancy Breaking Agents on Fruit Quality and Storability of Florida Prince Peach under Cold Storage Conditions. Nat Sci 2015;13(1):21-26]. (ISSN: 1545-0740). http://www.sciencepub. net/nature. 4
Efficient Identification for Invalid Signatures using Wireless Mobile Networks

: Secure access is one of the fundamental problems in wireless mobile networks. Digital signature is a widely used technique to protect messages authenticity and nodes identities. Batch cryptography technique is a powerful tool to reduce verification time Most of the existing system works focus on designing batch verification algorithms for wireless mobile networks without sufficiently considering the impact of invalid signatures, which can lead to verification failures and performance degradation. We propose a Batch Identification Game Model (BIGM) in wireless mobile networks, enabling nodes to find invalid signatures with reasonable delay no matter whether the game scenario is complete information or incomplete information.
EVALUATION OF ORANGE FLESHED SWEET POTATO GENOTYPES FOR STORAGE ROOT YIELD AND DRY MATTER CONTENT

Sweet potato (Ipomoea batatas (L.) Lam) is the seventh most important food crop in the world. In many developing countries, sweet potato is used as a staple food crop because of easy propagation, high yield and rich in nutrient content under varied climatic conditions. Orange fleshed sweet potato (OFSP), in particular produces storage roots rich in β-carotene, a precursor of Vitamin A. Therefore, OFSP is a promising genotype to address the Vitamin A deficiency needs of women & children and to prevent malnutrition in poverty & tribal areas. OFSP varieties are important in Africa and other developing countries to reduce night blindness. A total of forty OFSP genotypes were selected and yield trials were conducted in two different seasons, kharif season (May-July) and rabi season (SepNov) in 2011. The total yield and dry matter content of the tubers was estimated immediately after harvest and the data obtained from the two seasons were compared. From the result it was found that the rabi season is more favourable for total tuber yield production. The genotype, ST-14/47 has recorded highest tuber yield of 27.19 t ha -1 with 24% dry matter. Dry matter content of 37% was recorded in CO3-5043 variety with a tuber yield of 16.60 t ha -1 . These genotypes could be popularized among farmers as a source of Vitamin A rich food and to get higher tuber yield.
Image Processing Techniques for Brain Tumor Detection: A Review

MRI Imaging play an important role in brain tumor for analysis, diagnosis and treatment planning. It’s helpful to doctor for determine the previous steps of brain tumor. Brain tumor detections are using MRI images is a challenging task, because the complex structure of the brain. Brain tumor is an abnormal growth of cell of brain. MRI images offer better difference concern of various soft tissues of human body. MRI Image provides better results than CT, Ultrasound, and X-ray. In this the various preprocessing, post processing and methods like; (Filtering, contrast enhancement, Edge detection) and post processing techniques like; (Histogram, Threshold, Segmentation, Morphological operation) through image processing (IP) tool is available in MATLAB for detection of brain tumor images (MRI-Images) are discussed.
Exploring the missense mutation impact on STK11 which cause Peutz-Jeghers Syndrome by computational analysis

: In this work, the most detrimental missense mutations of STK11 that cause Peutz-Jeghers Syndrome and other types of cancer were identified computationally and the binding efficiencies of those missense mutations with STRAD were analyzed. Out of 39 missense mutations, I-Mutant 2.0, SIFT and PolyPhen programs identified 26 variants that were less stable, deleterious and damaging respectively. Subsequently, modeling of these 26 variants was performed to understand the change in their conformations with respect to the native STK11 by computing their root mean squared deviation (RMSD). Furthermore, the native protein and the 26 mutants were docked with the STRAD to explain the binding efficiencies of those detrimental missense mutations. Among the 26 mutants, 12 mutants were identified as deleterious based on the results of docking studies, RMSD scores and stability analysis. Finally, normal mode analysis determined that the loss of binding affinity of these 12 mutants was caused by altered flexibility in the amino acids that bind to STRAD compared with the native protein. Thus, the present study showed that all the active site amino acids in those 12 mutants displayed loss of flexibility, which could be the theoretical explanation of decreased binding affinity between the mutant STK11 and STRAD.
A Novel Cancer Gene Search Model and Classification Using GPSO-BPNN

: Understanding the gene expression is a crucial issue to cancer designation. One target of this understanding is implementing cancer factor search and classification ways. However, cancer factor search and classification could be a challenge in this there's no an obvious precise algorithm which will be enforced severally for varied cancer cells. During this paper a pursuit is conducted through the info mining algorithms and enforced Geometric Particle Swarm optimization (GPSO) with Back propagation Neural Network (BPNN) for cancer factor search and classification, and the way they are enforced to achieve a higher performance. Hybrid GPSO-BPNN technique is employed to enhance the accuracy and higher convergence rate. This projected technique is used to beat from the matter of procedure difficulties occur by unwell-condition of the square penalty function. Finally, the experimental result shows that this projected technique is best in gene selection with less execution time.
Impact Factor : 3

Electronic commerce is clearly an essential ingredient of India’s trade facilitation policy. Competition is expected to continue, with Ecommerce companies experimenting with different ways to attract customers and increase online traffic. As the customers progress from research to purchase to fulfillment stages, their preferences and expectations fluctuates and changes fast. Ecommerce companies need to understand these change drivers and adapt their proposition to live up to customers’ expectations. Against this backdrop, the present study is designed in two parts. Firstly, the study will examine the existing literature related to the factors that affecting consumer acceptance and adoption of Ecommerce in India and worldwide. Secondly, with the help of a survey, the study intends to find out the determinants of Consumers’ adoption of Ecommerce with respect to Mumbai city. The study has found a positive relationship between attitude, relative advantages and consumers’ adoption levels.
Attribute Based Cryptographically secure (ABCs) Encryption In Cloud Computing: Analysis and Comparative Study

— In today’s digital world Cloud computing is a revolution knowledge for stream of computing as a utility. That is providing platform and services for enormous-scale of data storage and data manage. Big Data on cloud environment analyze, storage, manage, visualization, security are some challenges that requires more timing and large computation infrastructure processing. Security in terms of data Protection is one of the challenges that overcome use of cryptographic framework through access control mechanism. In this paper we discussed, compared and analyzed of Attribute Based Cryptographically secure (ABCs) Encryption algorithm.
A Relative Study on Retinal Vessel Segmentation

Retinal image processing is a standard medical repetition and offers number of profitable products for physicians. In the field of retinal image processing retinal vessel segmentation is the crucial task for detection of cardiovascular diseases in advance. The recognition of erroneous blood vessel may cause in incorrect clinical diagnosis. Various processing steps are required for the extraction of blood vessel from the retinal image such as preprocessing, noise reduction, gray scale conversion and segmentation. Segmentation is the final and important stage of blood vessel extraction process. Many segmentation techniques are proposed by researchers for blood vessel extraction. Methods and comparison of some segmentation techniques are given in this paper
Molecular Dynamics Simulation to Study the Absorption and Desorption of Shale Gas in Graphitic Nanopore

Nanoporous materials have the potential to be the storage medium of shale gas. Therefore, investigations about the adsorption and displacement of shale in nanopores materials are of great significance for estimating and exploiting the shale gas storage capability. There are speculations that among all, carbon based materials have extremely high gas storage capacities and can be used as novel energy storage materials. In the present work, we used molecular dynamics simulation technique to investigate shale gas adsorption in a slit-like graphitic nanopore of 2.5nm. Such an understanding is crucial in understanding the loading and unloading behavior of gasses at various temperatures. We studied the loading of nanopore at various temperatures and compared the densities inside the pore with outside bulk densities. We found that the densities in the pore are much larger than the bulk densities. We also studied how CO2 can be used as a material for regenerating the material by replacing the gases in the system, and the transition time was calculated.
Energy Efficient Resource Allocation in Cognitive Radio using LabVIEW

— Resource allocation is used for complete utilization of frequency spectrum in cognitive radio networks. To maximize energy-efficiency is current research problem because of the many practical limitations such as transmission power, interference threshold of primary users and traffic demands of secondary users. Orthogonal frequency division multiplexing is an efficient technique used for achieving downlink resource allocation in communication systems. Margin adaptive approach is used to minimize amount of transmit power whereas rate adaptive approach is used to maximize data rate, it will give energy efficiency of system. For resource allocation process, subcarrier and power allocation is done sequentially to reduce the complexity of system with single user as well as multi-user. The communication setup includes two host computers, communicating through two USRP boards over the range of 400 MHz to 4.4 GHz with software tool of LabVIEW. By evaluating the performance of single user and multi-user greedy algorithm, it has been found that energy efficiency for single user is nearly 185bits/Joule whereas for multiuser has 150bits/Joule using 20dB minimum power gain as the date rate is distributed. The result of resource allocation gives complete utilization of spectrum bandwidth with minimum power along with maximum data rate .
An Extensive Survey on Edge Detection Techniques

: Edges characterize boundaries and are a problem of fundamental importance in image processing. Edge detection of images reduces the amount of data and filters unwanted information and preserves important structural properties of images. Edge detection is a process of locating boundaries of objects or textures present n an image. Data of edge detection is very large, so the speed of image processing is a very difficult problem. There are many techniques used for the purpose of edge detection depending upon the requirement of various applications. This paper provides an extensive review of various research work and methodologies which are applied in the field of edge detection .
DESIGN AND SIMULATION OF INTEGRATOR USING THIN FILM TRANSISTOR BASED OPERATIONAL AMPLIFIER

An Operational Amplifier is a basic building block of many analog and mixed signal systems. It is a high gain differential amplifier which can be used as summer, integrator, differentiator etc., and designed to operate at low voltage 3V DC. To design an Op-Amp, various electrical characteristics such as gain, bandwidth, slew rate, CMRR, output swing offset, etc., have to be taken in to account. Frequency compensation is necessary for closed loop stability since the op-amps are designed to be operated on negative feedback. An Integrator is an essential circuit component in many analog circuits that performs mathematical operation of Integration particularly in solving differential equation and can be used as a storage element in analog computing circuits. It is used where initial condition is of great importance and which affects the future calculations. The present research work proposes the basic use of integrator circuits in engineering design and simulation using Thin Film Transistor based Operational Amplifiers. This work also investigates the design of integrator circuit and the applications of the integrator. The designed circuits are very suitable for integrated circuit and implementation. The circuit performance is obtained through HSpice simulations and the results are compared with the existing theoretical work showing good agreement.
DULOXETINE HYDROCHLORIDE METHOD DEVELOPMENT USING OFFICIAL DISSOLUTION MEDIA

Aim/background: A simple, rapid, precise and economical spectrophotometric method has been developed for the quantitative estimation of Duloxetine Hydrochloride in pharmaceutical formulation. Materials and Methods: The simple, precise, economical and rapid method was developed and validated for the estimation of Duloxetine Hydrochloride using pH 6.8 phosphate buffer as a solvent. The stock solution of Duloxetine Hydrochloride was prepared and subsequent suitable dilution was prepared in pH 6.8 phosphate buffer to obtained standard curve. The standard solution of Duloxetine Hydrochloride shows absorption maxima at 289 nm. Results: The drug obeyed beer lambert’s law in the concentration range of 10-50μg/ mL with regression 0.9998 at 289nm. The overall % recovery was found to be 100.674% which reflects that the method is free from interference of the impurities and other additives used in formulation. The low value of % RSD was indicative of accuracy and reproducibility of the method. The %RSD for interday and intraday precision was found to be 1.246 and 0.742, respectively which is <2% hence proved that method is precise. Conclusions: The results of analysis have been validated as per ICH guidelines. The developed method can be adopted in routine analysis of Duloxetine HCL in Capsule dosage form as well bulk dosage form.
Synchronized Overlapped Schedules for Clusters in Wireless Sensor Networks

: This paper proposes medium access control (MAC) layer protocol for wireless sensor networks. Sensor nodes are battery operated so the energy efficiency is an important aspect for the wireless sensor networks WSNs. The protocol aims for achieving energy efficiency to increases network lifetime and scalability to increase the network capacity. Clustering, synchronization and low duty cycle are some of the characteristics for utilizing energy efficiently in the network. The protocol is designed with having the schedules of the clusters to be overlapped in a low duty cycle operation. We have evaluated the performance of protocol through detailed ns-2 simulation. The simulation results show that this protocol outperforms when compared to SMAC. It has reduced schedule updates, power consumption and data loss.
Big Data Analysis Tools Combined with AHP for Improving Bank Services Sales

This paper deals with two important issues related to the decision making in the financial field: Big Data and Multicriteria Decision Making (MCDM) methods. To handle the combination between them, we apply the so-called MapReduce paradigm, which is widely deployed in big data analysis, and the Analytic Hierarchy Process (AHP), which is the most used method among the MCDM methodologies. The main gap to cover is shown in two directions; on the one hand, how big data analysis can help to overcome the limitations of methodologies such as AHP when a vast number of alternatives are present, on the other hand, we look at how MCDM methods can help big data analysis to go one step beyond, that is to say, to move from the predictive to the prescriptive analysis. To illustrate the whole approach, we show its application to a real world decision problem concerning the sale of travel insurances. Our methodology returns an accurate ranking of potential clients before being contacted by the sales agent working for a commercial bank. So it helps to the sales profession by contributing to the creation of value for customers and to the sales professionals by optimizing their functions.
Mining, Identifying and Summarizing Features from Web Opinion Sources in Customer Reviews

Today World Wide Web is an brilliant source for gathering consumer, customer opinions there is an tremendous growth in user generated contents in the form of customer reviews on the Web containing precious information useful for both customers and manufacturers. Today there are various Web sites containing such opinions, e.g., consumer reviews of products, forums and blogs. However, lots of stuffing, contents are stored in either unstructured or semi-structured format due to which refinement of knowledge from this huge warehouse is a challenging task. Here in this paper, we propose a mining approach to mine and extract product features, opinions from various web sources for a product. In this a rule-based approach system is implemented, which applies linguistic and semantic analysis of texts to mine feature-opinion pairs that have
Factors Associated with Polycystic Ovary Syndrome at Yaounde Gynecological Obstetrics and Pediatric Hospital (HGOPY)

Introduction: Polycystic ovary syndrome is a poorly understood condition in our environment. The aim of our study was to identify the factors associated with the polycystic ovary syndrome observed in women of reproductive age at the Gyneco- obstetric and Pediatric Hospital of Yaounde. Method: The aim of our study was to identify the factors associated with Polycystic Ovarian Syndrome (PCOS) observed in women of reproductive age at the Yaoundé Gyneco- Obstetric and Pediatric Hospital (YGOPH). This was a case-control study. We compared on the basis of the Rotterdam criteria (Case), with 184 women PCOS-free (controls). The data was entered and analyzed using SPSS software version 20.0 and Epi Info 3.5. 4. The error threshold was set at 5%. Result: The factors associated with polycystic ovary syndrome in univariate analysis were: age under30 (OR: 5.69, CI: 2.71 - 11.94) a family history of polycystic ovary syndrome (OR5.69; CI: 2.71 - 11.94), irregular menstruation (OR 2.60, IC: 1,33 - 5.05), diabetes (OR: 2.69, IC: 1.36-5.29) infertility (OR: 2.68 IC: 1.38 - 5.20); The personal history of peri-pubertal obesity (OR:10.09, IC (4.83 - 21.06)); Have more than three meals per day (OR, 5.37, CI: (1.56 - 18.47)); Frequent consumption of fried foods (OR, 3.24, IC (1.55 - 6.76)); Consume tea regularly (OR: 4.54, IC (1.51-13.68)); And major obesity (OR: 4.20; IC: (2.26 -10.74)). After linear regression, the factors that remained significant were age below 30 years (OR: 5.70, CI: 2.17-15.00); the personal history of peripubertal obesity (OR: 4.68, CI: 1.79-12.20) and consumption of more than three meals per day (OR: 6.06 CI: 1.16 - 31.64). Conclusion: Factors associated with PCOS at HGOPY are age of less than 30 years, history of obesity, and consumption of more than three meals per day.
Resource Allocation in Multiuser OFDMA Networks with Inter Cell Interference cancellation

—This paper describes a resource allocation is an important issue in orthogonal frequency division multiple access (OFDMA) systems. Formulaically systems, the interference across different cells makes the optimization of resource allocation difficult. While inter cell interference(ICI) for the downlink of multicell systems in general and orthogonal frequency division multiple access networks, the uplink has received less attention.Inter cell interference coordination schemes can be viewed as a scheduling strategy used to limit the inter-cell interference such that cell edge users in different cells preferably are scheduled on complementary parts of the spectrumwhenneeded.The common theme of ICIC avoidance schemes is to apply restrictions to the usage of downlink resources such time/frequency and/or transmit power resources.Such coordination of restrictions will provide an opportunity to limit the interference generation in the area of cellular network.Accordingly,signal to interference and noise ratio(SINR) can be improved at the receivers in the coverage area, which will provide capability for increased(cell-edge) data rates over the coverage area,or increased coverage for given data rates.
The Effect Of Human Relations And Autonomy On Employee Employability

Employability is an essential component of the organization. Therefore, organizations need to pay attention to factors that can improve employability. This study aimed to examine the effect of human relations and autonomy on employee employability. The participants of this study were employees at the University of X Yogyakarta, with a total of 49 employees. The sampling technique used was simple random sampling technique. Data collection was conducted by using human relations scale, autonomy scale, and employability scale. Data analysis was conducted using multiple linear regression techniques. The results showed that 1) there was a very significant effect between human relations and autonomy simultaneously on employability with p = . 000 (p <.01), 2) there was a very significant effect of human relations on employability with p = . 003 (p <.01), 3) there was a very significant effect of autonomy on employability with p = . 001 (p <.01). Simultaneously, human relations and autonomy contributed 40.8% to employability. Autonomy contributed more dominantly to employability (22.2%) than human relations to employability (18.6%). Therefore, the employability of employees can be predicted based on human relations and autonomy.