Miracle-dz/UniFAR-FTUs huggingface dataset:
PROXIMATE COMPOSITION AND NUTRITIVE VALUE OF LEAFY VEGETABLES CONSUMED IN NORTHERN CÔTE D’IVOIRE

In tropical Africa, leafy vegetables are traditionally cooked and eaten as a relish together with a starchy staple food. Nevertheless, scientific report on their nutritive potential is scanty. In order to contribute to their wider utilization and valorization, leafy vegetables consumed in Northern Côte d’Ivoire (Amaranthus hybridus, Andasonia digitata, Ceiba patendra, Hibiscus sabdariffa and Vigna unguiculata) have focused our attention. The physicochemical and nutritive properties of these leafy vegetables were investigated and the results obtained were as follow: moisture (69.93 87.40%), crude proteins (13.12 22.26%), crude fibres (12.11 33.00%), ash (7.25 26.79%), carbohydrates (26.19 59.99%), crude lipids (1.17 4.90%) and food energy (134.87 312.92 kcal/100g). The mineral elements contents were high with remarkable amount of K (848.3 3970 mg/100g), Ca (1331.15 4680 mg/100g), Mg (345.55 2110 mg/100g), P (343.53 1320 mg/100g) and Fe (30.71 90.00 mg/100g). The Ca/P ratio was desirable and ranged from 2.75 to 9.99. These leafy vegetables also contained appreciable levels of vitamin C (30.00 60.01 mg/100g) and polyphenols (134.07 294.83 mg/100g). The studied leafy vegetables highlighted antioxidant activity varying from 69.05 to 80.21%. All these results indicate that the studied leafy vegetables if consume in sufficient amount would contribute greatly to the nutritional requirement for human health and to the food security of Ivorian population.
Secrecy of Information Sharing System for Human Networks

: Now a day’s sharing information of mobile devices are becoming necessary of our daily lives. So that sharing information using existing mobile device technology rely on efficiency of internet and also increase time complexity. Because by using existing technology to transfer sharing data through server. This architecture is inefficient in many situations and also does not utilize abundant inter device communication opportunities in many scenarios. This paper proposed the inter device network for direct interactive with mobile device. By implementing this architecture each device not communicate with centralize device. The communication process can be done by using inter device network for sharing information. In this paper we can also provide security of transferring data by using prime order complement data cryptography technique for data encryption and decryption. By implementing those techniques we provide more efficiency of internet and also provide more security of transferred data.
Parallel VLSI Architectures for Communication Systems

— In wireless communication the use of multiple antennas at both the transmitter and the receiver is a key technology to enable high data rate transmission without additional bandwidth or transmit power. Multiple Input Multiple Output (MIMO) schemes are widely used in many wireless standards ,allowing higher throughput using spatial multiplexing techniques. MIMO soft detection poses significant challenges to the MIMO receiver design as the detection complexity inceases exponentially with the number of antennas. As the next generation wireless system is pushing for multi-Gbps data rate, there is a great need for high-throughput low complexity soft-output MIMO detector. The brute –force implementation of the optimal MIMO detection algorithm would consume enormous power and is not feasible for the current technology.We propose a reduced-complexity soft-output MIMO detector architecture based on a trellis-search method. We convert the MIMO detection problem into a shorter path problem. We introduce a path reduction and a path extension algorithm to reduce the search complexity while still maintaining sufficient soft information values for the detection. We avoid the missing counter-hypothesis problem by keeping multiple path during the trellis search process. The proposed trellis search algorithm is a data-parallel algorithm and is very suitable for high speed VLSI implementation. Compared with the conventional tree-search based detectors, the proposed trellis-based detector has a significant improvement in terms of detection throughput and area efficiency. The proposed MIMO detector has great potential to be applied for the next generation Gbps wireless system by achieving very high throughput and good error performance. We will present ASIC and FPGA implementation results of various MIMO detectors
Opinion Mining Based on Sentimental Analysis in Online Review

: Online shopping is a form of electronic commerce which allows consumers to directly buy goods or services from a seller over the Internet. Now a day’s online shopping is increased gradually. More peoples use this types of services with the help of the reviews and rating of the products from some specified websites. Those reviews helps to identify the originality or quality of the particular product. But Every products has 1,2 . n number of reviews. Writing comments about news articles, blogs, or reviews have become a popular activity in social media. In this paper, we analyze reader comments about reviews. So to avoid reading all review existing system try to get important opinion targets and opinion words. But this system uses nearest neighbor. So To overcome this we propose a system. In Proposed system we use partially supervised word alignment model for align and get the targets and words, After that we create opinion graph for identifying target and its correspondent word. So Every Reviews opinion attributes are identified accurately.
ANALYZING A SELECTION STRATEGY FOR DATA DE-DUPLICATION IN LARGE DATASETS

: Record de duplication aims at identifying the objects which are potentially replicated in a data repository. Though the concept exists it still continues to receive a significant amount of attention from the database community and researchers due to the intrinsic difficulty in producing a redundant free repository, especially in the context of large datasets. In the case of large scale de duplication, the blocking and classification phases typically rely on the user to configure or tune the process. For instance, the classification phase usually requires a manually tagged set of data. However, selecting and labelling for a defined set is a very costly task which is often restricted to expert users. Some active approaches have been proposed to address this problem by selecting the information associated pairs.
The Effect of Explicit and Implicit Instruction of English Thanking and Complimenting Formulas on Developing Pragmatic Competence of Iranian EFL Upper-Intermediate Level learners

The current study set out to explore the effect of two instructional strategies; i.e. explicit and implicit teaching on developing Iranian English as a Foreign Language (EFL) upper-intermediate level learners’ pragmatic knowledge of the two speech acts of thanking and compliment. To fulfill this objective, 46 freshmen undergraduate students of Sharif University of Technology (SUT) who had taken General English classes were asked to participate in this study. After going through five steps, a Multiple-choice Discourse Completion Test (MDCT) consisting of 12 items on the speech act of compliment and 11 items on the thanking speech act was developed. Participants in the study consisted of two groups of explicit and implicit. After the eight-session instruction, they were given the newly developed MDCT to explore any probable improvements on their pragmatic knowledge. The results proved superiority of the explicit teaching over the implicit teaching regarding the two speech acts. Also in order to explore the relationship between grammatical and pragmatic competence of both groups, the correlation between the two scores was calculated and the results suggested that the correlation is not affected by applying explicit or implicit teaching of thanking and compliment formulas. However in a linear regression which was run to predict learners’ grammatical competence by their ability to perform speech act formulas, thanking proved itself as a better predictor of grammatical competence. KEY TERMS: Explicit teaching, Implicit teaching, Pragmatic competence, MDCT.
Estimation of bone fracture risk using FRAX® model in urban population of Russian Federation

Irina A. Skripnikova*1, Margarita A. Myagkova2, Svetlana A. Shalnova3, Alexander D. Deev4 & Oxana M. Drapkina5 1Head of Osteoporosis Preventive Department, National Medical Research Center for Preventive Medicine Ministry of Healthcare, Russian Federation 2Researcher Associate, Osteoporosis Preventive Department, National Medical Research Center for Preventive Medicine Ministry of Healthcare, Russian Federation 3Head of Non-communicable Diseases Epidemiology Department, National Medical Research Center for Preventive Medicine Ministry of Healthcare, Russian Federation 4Head of Biostatistics Laboratory, National Medical Research Center for Preventive Medicine Ministry of Healthcare, Russian Federation 5Director of the National Medical Research Center for Preventive Medicine Ministry of Healthcare, Russian Federation
Symptom Management for Bladder Cancer in Thailand

Understanding the symptom experiences and management strategies of people with bladder cancer is important for nurses. Awareness of outcomes of the strategies used can enable health care practitioners to provide effective advice to bladder cancer patients. We aimed to examine symptom experiences in patients with each cancer grade; to survey symptom management strategies and outcomes. This study was a cross-sectional survey design. A total of 62 patients receiving care in a northern Thailand university hospital during December 2011 and June 2012 were recruited as subjects. Participants completed a modified questionnaire based on the framework of the symptom management model. Data were analyzed using descriptive statistics. The findings revealed: (i) the three most frequent and severe symptoms in the high grade group were frequent urination, constipation and anxiety; in the low grade group were frequent urination, fatigue and anxiety: (ii) the symptom management strategies revealed correspondence in both groups as follows: for frequent urination strategies were consulting a physician, restricting fluids, using herbs and doing nothing; for constipation strategies were taking a laxative, eating tamarind, eating vegetables/high-fibre fruits and using a suppository; for anxiety strategies were prayer, going to the temple, meditating, talking with family/friends, relaxing, taking up a hobby, resting and consulting a physician; for fatigue strategies were resting, using supplements and consulting a physician: (iii) the outcomes revealed that most of the strategies showed positive outcomes. Positive outcomes could be used as a guide in providing recommendations to patients with bladder cancer and to support further research in this area. Further work is needed to develop interventions that work for specific symptoms.
Document Recommendation using Boosting Based Multi-graph Classification: A Review

- Every day the mass of information available to use is increase. So we need to increase the ability to efficiently access this information. Text Classification is hard if we do it manually. So we need a tool that classifies text and images more accurately. In Existing system, users need to check various documents to find out similar documents. So the accuracy of related document is very less. It is very time consuming process. The proposed system is a recommendation system with maximum accuracy and minimum time. System recommends documents based on the users query. Also calculate the probability based on classification. Boosting based multi-graph classification technique is used by system to classify the documents. It provides most related documents to the user. System preprocesses the documents and finds the common author relation. System uses multi-graph and article ranking to find the most relevant documents.
A NOVEL TECHNIQUE OF IMAGE STEGANOGRAPHY

— Steganography is the technique of hiding secret information within any media like text, images, audio/video and protocol based network. Steganography is an important area of research in recent years involving a number of applications. The modern secure image steganography presents a challenging task of transferring the embedded information to the destination without being detected. Transform domain methods hide messages in insensitive areas of the cover image which makes them more robust to attacks. DCT/DWT is used to transform cover image from spatial domain to frequency domain. The secret image or information is then embedded into the frequency domain coefficients. This paper proposed a novel technique for data hiding and compares it with DCT, DWT and hybrid transform domain technique for embedding secret image into cover image. The algorithms are compared for Signal to Noise Ratio (SNR) which is a measure of the difference between the cover image and the stego image.
DEVELOPMENT OF A ROBOTIC COMPANION: A SURVEY

-Making life easier, safer and efficient has been always a constant thrust of innovative minds. From healthcare and homecare, to military use and emergency response, robots are fast becoming a fixture in our lives. When it comes to the development of an autonomous robot, the first step is to study the methods for developing one. A robot consists of sensors to perceive the environment and the own movement, on-board computers, and actuators for vehicle control. The Kinect sensor is an advanced computer vision component with a variety of useful features that makes it suitable as the vision system for an autonomous robot. In this paper, the approach taken for the development of the autonomous robot is discussed.
FAST DISSOLVING TABLET S : AN UPDATE

Fast dis solving t ablets are dissolving rapidly in the saliva without the need for water. Some tablets are designed to dissolve in saliva remarkably fast, within a few seconds, and are true fast - dissolving tablets. Other ingredients to enhance the rate of tablet di sintegration in the oral cavity, and are more appropriately termed fast - disintegrating tablets, as they may take up to a minute to completely disintegrate. Fast or mouth dissolving tablets have been formulated for pediatric, geriatric, and bedridden patien ts and for active patients who are busy and traveling and may not have access to water. Fast dissolving tablets (FDTs) have received ever - increasing demand during the last decade, and the field has become a rapidly growing area in the p harmaceutical indust ry. This article describes various formulations and technologies developed to achieve fast dissolution/dispersion o f tablets in the oral cavity. In this review describes in detail about FDT technologies based on lyophilization, molding, sublimation, spray drying, mass extrusion and direct compression . Several techniques have been developed in the recent past, to improve the disintegration quality of these delicate dosage forms without affecting their integrity. This art icle focuses on the technologies avail able and the advances made so far in the field of fabrication of fast dissolving tablets. Apart from the conventional methods of fabrication, this review also provides the detailed concept of some unique patent ed technologies like Zydis, Or asolv, Durasolv, Flashtab, Flash dose and Wowtab , Lyoc, Pharmaburst technology, Frosta technology, OraQuick, Quick - Dis Technology, Sheaform Technology, Ceform Technology, Nano technology, Advatab.
A Literature Survey on Image Denoising Techniques

-Image noise reduction, or denoising, is an active area of research, although many of the techniques cited in the literature mainly target additive white noise. Thorough the review and evaluation of state-of-the-art denoising methods, it was found that the representation of images is substantially important for the denoising technique. At the same time, an improvement on one of the nonlocal denoising method was proposed, which improves the representation of images by the integration of Gaussian blur, clustering and Rotationally Invariant Block Matching. In this review work the successful application of sparse coding in compressive sensing, the image self-similarity by using a sparse representation based on wavelet coefficients in a nonlocal and hierarchical way, which generates competitive results compared to the state-of-the-art denoising algorithms. Another adaptive local filter would be proposed for efficient image denoising.
Health Monitoring of Network Using Probing

—Day by day the nature and the complexity in the network is increasing. The wide spread of Internet brought the world closer as well as challenges too. So monitoring of the networks becomes at most important to face and tackle these challenges of failures, reliability, QoS, etc. Collection of nodes and links between pair of nodes form a complex network. Health monitoring is required for complex and large networks. Network monitoring is one of the prominent phases in the network management. Passive monitoring and active monitoring are two different types of monitoring mechanisms. Passive monitoring gives fine-grained analysis and is capable of computing at-a-point metrics but requires more instrumentation. On the other hand active monitoring provides end-to-end metrics with lesser instrumentation but introduce additional traffic in the network. In our novel approach we have used probing based hybrid monitoring strategy for network health monitoring which effectively outperform existing solutions.
Study of Different Algorithms and Techniques for Secure File Transmission

— This paper proposes a method for secure, fast and easy transmission of data. Several algorithms for encryption and compression are considered and discussed for implementation. It takes a huge amount of time to send data through a network. The method proposed is to split a file into multiple parts of user specified size. Further to improve the speed of transmission, compression modules are used. For the data to not be altered or tampered with, and to keep it out of reach of unauthorized persons, encryption plays an important role.
Image Enhancement by Histogram Specification

— Shape and characteristics of the histogram plays a major role in finding the quality of an image. Histogram Specification (HS) is an image enhancement technique, where the high resolution images called Target Images, histogram of the these images are matched with each other,then best image will be selected with high PSNR value to enhance the input image .
Tracing the Possible Root Causes for Fleeing Flamingos in Kenya's Lake Nakuru National Park

A Fishbone diagram was used to identify possible root causes for the diminishing number of flamingos in Kenya’s Lake Nakuru by analyzing twelve authenticated articles published in 2007. Human activities at the lake’s catchment area particularly deforestation was found to be the major cause for the flamingo situation in the lake. Wanton destruction of vegetation at the Mau Forest Complex has caused rivers to dry up, therefore reducing the inflow of water into the lake. Due to negligible monetary benefits from tourism trickling down to host communities in Kenya, the poor population in Nakuru’s upstream strives to make ends meet through agriculture and exploitation of forest products, unaware of the detrimental impacts of their actions on the flamingos downstream that attracts over 200,000 tourists annually. This necessitates adoption of an integrated, sustainable development approach in planning and management of the resources. Keywords: Lake Nakuru; Tourism; Fleeing Flamingos; Sustainable development; Deforestation; Climate change; Pollution
APPROACHES FOR SECRET DATA EMBEDDING AND DE-EMBEDDING IN MULTIPLE FORMATS: EMPIRICAL STUDY

Steganography is the process to establish covert communication, which means to cover the secret messages into a wrapping medium while achieving the least possible statistical identify the facility. In literature, there are some algorithms (DES, LSB, AES, DCT, STC) introduced. This empirical study noticed that still, the technological gap is available between current approaches and current requirement. There are most of the approaches suffering from data compression issues, distortion issues, embedding issues, specific format secret data support, unable to support multimedia content, additional space requirement for a de-embedding process, delay in the de-embedding process. This article expresses the various current algorithm their feature and limitations. To overcome these issues, this empirical study is planning to implement the secure and efficient algorithm to support multimedia content with compression feature. The approach should avoid additional space and minimize the error rate during data recovery. It also contains data compression feature and builds the data in matrix transformation for secure and fast data transmission in networks
Handwritten Digit Recognition Using Convolutional Neural Networks

- Handwritten digit recognition is gaining a huge demand in the branch of computer vision. We are going to implement a better and accurate approach to perceive and foresee manually written digits from 0 to 9. A class of multilayer sustain forward system called Convolutional network is taken into consideration. A Convolutional network has a benefit over other Artificial Neural networks in extracting and utilizing the features data, enhancing the knowledge of 2D shapes with higher degree of accuracy and unvarying to translation,scaling and other distortions. The LeNet engineering was initially presented by LeCun et al in their paper.The creators excecution of LeNet was primarily focused on digit and character recognition.LeNet engineering is clear and simple making it easy for implementation of CNN’s. We are going to take the MNIST dataset for training and recognition. The primary aim of this dataset is to classify the handwritten digits 0-9 . We have a total of 70,000 images for training and testing. Each digit is represented as a 28 by 28 grey scale pixel intensities for better results. The digits are passed into input layers of LeNet and then into the hidden layers which contain two sets of convolutional,activation and pooling layers. Then finally it is mapped onto the fully connected layer and given a softmax classifier to classify the digits.We are going to implement this network using keras deep learning inbuilt python library.
An Efficient Auditing Protocol for Dynamic Data Sharing in Cloud Computing

- Cloud Computing has many benefits such as using applications over the internet, configuring the applications anytime. The Public Cloud allows systems and services to be easily accessible to the general public. Now a days cloud storage is not only used for storage purpose but also users try to change the data anytime. Data integrity and security are major concerns for users of cloud computing. Due to the trustworthiness of data in cloud storage services, wants to check the data stored in the cloud so that they can know the data stored without any error. However, for the majority of the earlier schemes, only the data owner who has the secret keys can edit the data and other users can only read . Recently, attempts are made to allow multiple cloud users to edit data. In this paper, a efficient integrity auditing scheme for data sharing with multiple user editing, public auditing in cloud is implemented.