Miracle-dz/UniFAR-FTUs huggingface dataset:
Isolation of Phytate Degrading Activity from Africa Giant Land Snail (Archachatina marginata)

Phytase, chemically know as myoinositol (1,2,3,4,5,6)-hexakisphosphate phosphohydrolase, catalyses the hydrolysis of myo-inositol hexakisphosphate (phytate) to inorganic monophosphate and lower myo-inositol phosphates, and in some cases to free myo-inositol, rendering phosphorus available for absorption. Phytate degrading enzymes was isolated from different parts of African giant land snail (Archachatina marginata). Some physicochemical properties of the enzyme such as the effect of pH, effect of temperature, pH stability and thermostability of the phytase were investigated. The highest phytase degrading activity was found in the mouth. The optimal pH activity of pH 4.0 and 8.0, pH 5.0 and 8.0 were observed for phytases from the mouth and intestine respectively while both phytases has optimum temperature of activity at 60C. Phytases isolated from the mouth shows a lower thermal stability compared to intestinal phytases. This work demonstrate the presence of phytase degrading activity in land snail which might be responsible for the bioavailability of some essential divalent metal that are very important in the nutrition of the snail.
Overlapping Community detection Algorithms:-A Review

------------------------------------------- Abstract - Community detection is an important task in the study of network system as it provides information about overall network structure in depth. Community is the division of network nodes into subgroups in such a way that nodes inside the subgroup have more connections as compared to connections between the subgroups. Node may belong to more than one group. In this paper several overlapping community detection algorithms are considered in order to detect these overlapping nodes. Several modularity measures are used to measure the quality of communities detected by such algorithms.
Comparative study of hysteroscopy, hysterosalpingography and transvaginal sonography in evaluation of the female infertility

One of the most important and underappreciated reproductive health problems in developing countries is that of infertility. Infertility is a disease (an interruption, cessation, or disorder of body functions, systems, or organs) of the reproductive tract which prevents the conception of a child or the ability to carry a pregnancy to delivery (American Society for Reproductive Medicine (ASRM), 2012d). In India, eight to ten million couples are estimated to be childless. The causes of infertility in the female are ovulatory dysfunction 20%-40%, tubal or peritoneal factor 20% 40%, uterine factors 15%-20% and unexplained 20%30%. None of the imaging modality alone is conclusive in diagnosing infertility. Transvaginal sonography, hysterosalpingography and hysteroscopy are all done for evaluation of infertility. No particular modality of investigation has been found to be better than the other. Hence the present study was taken up to evaluate the diagnostic accuracy of HSC (hysteroscopy) in ABSTRACT
MULTIMODAL BIOMETRIC SECRET KEY USING RECOGNITION SYSTEM BASED ON FUSION OF PALM PRINT AND IRIS

: The technological growth has a serious impact on security which has its own significance. The core objective of this project is to extract the palm print features using the local appearance based method for the accurate identification with single sample per class. The biometric based person identification plays a major role in wide range of applications such as Airport security, Driver’s license, Passport, Voting System, Surveillance. This project presents palm print recognition based on granular computing and feature extraction using Discriminative Robust Local Ternary Pattern (DRLTP) approach. Here granular computing and palm print features will be presented to match the changes. Then, DoG pyramid will be formed from successive iterations of Gaussian images. By this granulation, palm print features are segregated at different resolutions to provide edge information, noise, smoothness and blurriness present in a palm image. In feature extraction stage, DRLTP is used to extract the features describes texture and edges with better discrimination. This feature is useful to distinguish the maximum number of samples accurately and it is matched with already stored original face samples for identification. This proposed approach reduces the computation time and also increases the efficiency.
User Profile Based Personalized Research Paper Recommendation System Using Top-K Query

-Researchers spent lots of time in searching published articles relevant to their project. Though having similar interest in projects researches perform individual and time overwhelming searches. But researchers are unable to control the results obtained from earlier search process, whereas they can share the results afterwards. We propose a research paper recommender system by enhancing existing search engines with recommendations based on preceding searches performed by others researchers that avert time absorbing searches. Top-k query algorithm retrieves best answers from a potentially large record set so that we find the most accurate records from the given record set that matches the filtering keywords.
REVIE OF ACADEMIC PERFORMANCE USING SOFT COMPUTING TECHNIQUES

: This review paper gives as details and overall review of methodologies and present scenario related to student’s academic performance evaluation for the development of better understanding. The present paper elaborates several aspects of students performance evaluation (prediction of student performance, modeling student performance from available data and grouping student on need base criteria). Apart from this, selected methods used for student’s academic performance evaluation and soft computing techniques have been described.
Human Action Recognition using Contour History Images and Neural Networks Classifier

- In this paper, we propose a new Human Action Recognition algorithm depending on hybrid features extraction from silhouettes and Neural Networks for classification. The hybrid features include contour history images which is a new method, movement tracking of the body's center and the relative of dimensions of the bounding box. For features reduction, three methods are compared, dividing the contour history images to rectangles, a shallow autoencoder and a deep autoencoder. Each of these autoencoders depends basically on Neural Networks. We tested this algorithm using a global human action dataset and the recognition rate was 98.9%, which is the only criterion for system evaluation used till now. That is why we defined a new criterion related to the Time needed to Test a video with a duration of one Second, and we called it TT1S. This criterion is helpful to compare the performances of different systems, and to evaluate the capability of the system in real-time applications.
Available Online at www

Objectives: To analyze the antimicrobial activity and qualitative phytochemical evaluation of Costus speciosus (Koen ex. Retz.) Sm. Methods: In-vitro antimicrobial activity of Costus speciosus was evaluated by disc diffusion method, and qualitative phytochemical constituents were analyzed by Harborne method. Results: Antimicrobial activity of Gram negative bacterial strain Salmonella typhi showed maximum inhibition at the concentration of 100 mg (24mm) in methanolic extract. Qualitative evaluation of Costus speciosus showed that maximum amount of phytochemical compounds in leaves by methanolic extract than the petroleum ether extract. In leaves more amount of saponins were present. Conclusions: The results of the present study revealed that the leaves of Costus speciosus has high potent against Gram negative bacterial strain Salmonella typhi and high degree concentration of Saponins.
MICROPROPAGATION IN BANANA USING INFLORESCENCE: A REVIEW

Bananas and plantains are the major fruit crops belonging to the genus Musa and they provide a well-balanced diet to millions of people. Demand of tissue cultured plants of banana is increasing rapidly for disease free planting material, crop improvement and genetic transformation. The male flower tissue culture technology either through direct organogenesis, indirect organogenesis or somatic embryogenesis creates an environment to provide disease free planting material by mass multiplication and genetic improvement. The purpose of this review is to focus on advances made in male flower tissue culture technology that could be used in the production of disease free planting material and crop improvement.
A Survey for Personalized Item based Recommendation System

Recommendation techniques are very important in the fields of E-commerce and other Web-based services; one of the main difficulties is dynamically providing high-quality recommendation on sparse data. Here a novel personalized recommendation algorithm is proposed, in which information contained in both ratings and feedback of the user is considered, a set of dynamic features are designed to describe user preferences in multiple phases and finally a recommendation is made by adaptively weighting the features on the basis of result of rating and feedback by using the collaborative graph of both. In item based recommendation algorithm the similarities are determine between the various items and then uses them to identify the set of items to be recommended
Advance App Design Methods of Leaf Disease Detection using Image Processing Approach – A Review

: Agriculture is the main element of economic growth in developing countries. The crop quality depends on the everyday growth of plants. Disease detection in early stages can be improving the production percentage. Recently,numerous image processing techniques are developed to detect the leaf diseases. This paper presents, a review on different technologies of leaf disease detection using image processing approach and classified them based on the type of analysis tool and applications. Almost, fundamental technologies used in leaf disease detection system are critically reviewed and discussed in brief; comparison of available approaches are examined and presented. The main issues and challenges in leaf diseases detection are underlined.
DESIGN AND FABRICATION OF DUAL NOTCH ANTENNA IN ULTRA-WIDEBAND FOR WLAN/WIMAX APPLICATIONS

Double notch ultra-wideband antenna is proposed in this paper. Ultra-wide band has range as of 3.1 to 11 GHz as allowed by FCC for commercial purpose. ISM band (peak at 5.8 GHz) and WLAN band (5-5.75 GHz) are very close in frequency band, so rejection of ISM band is needed. A notch band is needed to reduce interference between WLAN and WiMAX. ISM band 5.8 GHz and 3.8-4.9 GHz band are notch bands obtained by etching slot and ring resonators. Resonators length and width have inverse relation to the notching frequency. In this proposed antenna inverted U slot gives wide range of rejection frequency i.e. it rejects the band of 3.8-4.9 GHz and half elliptical ring resonator rejects the ISM (peak at 5.8 GHz) band. This antenna reduces the interference between ISM (peak at 5.8 GHz) band and WLAN (peak at 5.2 GHz) band for WLAN applications. Notching of 3.8-4.9 GHz band minimizes the interference between WLAN and WiMAX. The result of antenna in terms of VSWR (5 to 8) for notching frequency bands shows that the dual notch occurs in simulated and fabricated one. The outcome of this antenna suggests that it can be applicable to WLAN, WiMAX and communication systems of UWB.
A Survey on various Techniques Feature and Knowledge Extraction of SAR Image

— As the digital world is growing with various kind of data which is processed on different servers, so proper balancing of work is required. As data include text file, image, video, etc. Out of those image plays an important role in different field such as remote sensing, social media, etc. Here information extraction from the image for different studies required proper pre-processing steps. This paper give a brief survey of SAR image processing and knowledge extraction techniques. Here various feature are explained in brief with their requirements.
Various Image Compression Techniques: A Review

—Digital image compression technology is of special significance for the fast transmission and real-time processing of digital image information on the internet.A digital image in its original form carries a large amount of information in it which needs a huge amount of memory for its storage. The basic approach of image compression is to reduce the number of the image pixel elements without affecting the original quality of image. It is basically achieved by removing the redundancy present in the image. The two most important techniques are lossy and lossless compression techniques. The principle objective of this paper is to discuss some basic compression techniques such as Huffman encoding, LZW coding, VQ compression and some recently used new hybrid techniques for compression.
Optimal Power Flow using Dynamic Bacterial Forging Algorithm

— Optimal power flow (OPF) problem has already been attempted as a static optimization problem, by adopting conventional gradient-based methods and more recently, no conventional ones, such as evolutionary algorithms. However, as the loads, generation capacities and network connections in a power system are always in a changing status, these static-oriented methods are of limited use for this issue. This paper presents a new algorithm, dynamic bacterial foraging algorithm (DBFA), for solving an OPF problem in a dynamic environment in which system loads are changing. DBFA is based on the recently proposed BFA which mimics the basic foraging behaviour of E. coli bacteria. A selection scheme for bacteria’s reproduction is employed in DBFA, which explores the self-adaptability of each bacterium in the group searching activities. DBFA has been evaluated, for optimizing the power system fuel cost with the OPF embedded, on the standard IEEE 30-bus with a range of load changes which occurred in different probabilities. The simulation results show that DBFA can more rapidly adapt to load changes, and more closely trace the global optimum of the system fuel cost, in comparison with BFA and some other techniques.
Efficient Cluster Initialization Method Using Principal Component Analysis

: Clustering is a very well known technique in data mining, pattern recognition and image processing, used to group data according to shared characteristics or a degree of convergences. One of the most widely used clustering techniques is the k-means algorithm. Solutions obtained from this technique are dependent on the initialization of cluster centers (centroids). Whenever the initial centroids are closed to the representative one in each cluster, k-means algorithm gives better results. In this article I proposed a new method to initialize the clusters. The proposed method is based on the Principal Component Analysis (PCA). A comparison made between the conventional (random) and proposed method is performed. The new (proposed) method when applied to different data sets showed good results.
NANOEMULSION FOR IMPROVED PERMEABILITY OF CENTELLA ASIATICA EXTRACT: FORMULATION, EX-VIVO AND IN-VIVO EVALUATION

Centella asiatica L. Urban (family: Umbelliferae) contains several active triterpenoids which have been reported to induce type I collagen which decreases substantially in photoaged skin. Centella asiatica extract is highly soluble in water but have low absorption into the skin. To overcome this, water in oil nanoemulsion loaded with Centella asiatica extract have been formulated, optimized and evaluated as the potential delivery system for treating photoaging. Nanoemulsions were formulated by the oil phase titration method and optimized by constructing pseudo-ternary phase diagrams. The prepared nanoemulsions were subjected to thermodynamic stability testing. Those that passed these tests were characterized for droplet size, polydispersity index, zeta potential and droplet morphology by Cryo-SEM. The prepared nanoemulsions were in nanometric range (optimized batch: 140.5 nm) with uniform size distribution (PDI: 0.086) and good physical stability (zeta potential: -33.9 mV). Topical permeation of Centella asiatica loaded nanoemulsion through porcine abdominal skin was estimated using the Franz diffusion cell. A significant increase in permeability parameters was observed in nanoemulsion formulations (P<0.05) as compared to an aqueous solution of Centella asiatica extract. Topical application of CA nanoemulsion loaded cream to rat hind limb significantly reduced the wrinkle formation on UV exposed skin. Histopathological studies of the skin samples further confirmed the antiphotoaging effects of the prepared nano-emulsion formulation. INTRODUCTION: Skin aging is a natural phenomenon. But many times premature aging of the skin occurs due to external factors which lead to photoaging of skin. ‘Photoaging’ is the process by which sunlight or artificial ultraviolet radiation (UV) gradually induces clinical and histological changes in the skin. Cosmeceuticals are achieving increased popularity in the personal care industry. The significant share of this growing cosmeceutical industry comes from the age-defying products. QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.10(4). 1711-18 The article can be accessed online on www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.10(4). 1711-18 Several synthetic skincare cosmeceuticals are existing in the market to treat photoaging, and the most common adverse reactions of those include allergic contact dermatitis, irritant contact dermatitis, phototoxic and photoallergic reactions. Therefore, the use of natural and herbal based products has become a new trend. Centella asiatica L. Urban (family: Umbelliferae) is a perennial herb containing several active triterpenoids, saponins, including madecassoside, asiaticoside, centelloside and asiatic acid which has been reported to induce type I collagen which decreases substantially in photoaged skin 1 . Nanoemulsions are thermodynamically stable transparent or translucent dispersions of water and oil stabilized by an interfacial film of surfactant usually in combination with co-surfactant having
Data Security in Healthcare Domain by using An Efficient File Hierarchy Attribute-Based Encryption Scheme

— In This paper, data security aspect for healthcare domain is proposed by proposing an efficient file hierarchy attribute based encryption method. The multilevel access structure is combined into single level access structure and then subfiles are encrypted with the integrated access structure. The cipher texts of the attributes shared by the files which saves the time cost of encryption.
Pseudo-elliptic narrow bandpass filter using shorted coupled-line of higher order design

This paper presents an implementation of quarter wavelength single-shorted coupled-lines for narrow bandpass filter application. It is shown as a new way of creating a single resonance bandpass filter by inter-connected of two single-shorted quarter wavelength coupled-line sections. By adding more single-shorted coupled-line into the configuration, the form of halfwavelength resonator can increase the degree of order of the filter. For the design of 4th order resonator, the coupledlines are arranged inter-connected to each other forming five-fingers lines layout. Due to the interconnection of the coupledlines, transmission zeros appear at the two stopbands which improves the selectivity of the filter response. Investigation on the parametric of the 4th order resonator is conducted to observe the controlling parameters and it’s realiability responses of the resonator. For compactness, five-fingers meandered lines is proposed. It is found that the size of the meandered lines resonator was successfully reduced by 33% compared to the five-fingers straight lines resonator of the same order. For validation of concept, the 4th order meandered lines resonator was designed at 1 GHz and fabricated on RO3210 microstrip substrate with characteristics given as h = 1.27 mm, Ɛr = 10.2 and tan δ = 3x10-3. The measurement results show good agreement with the simulation results.
Secure Dynamic Groups Auditing Service with Group Signature for Cloud Storage

—Cloud storage has become a commonplace of storing and sharing data across multiple users. It is a challenge to preserve confidentiality and maintain identity privacy while sharing data within multiple dynamic groups, due to frequent change in the membership. Also, maintaining data integrity is an issue as data is stored and audited by untrusted cloud service provider (CSP). In this paper, we propose, third party auditor (TPA) auditing scheme to maintain data integrity and enabling TPA to perform audits for multiple users efficiently and simultaneously. By exploiting group signature scheme any member can anonymously share data within the group. The efficiency and the computation cost of the proposed system are independent with the number of users revoked and the data stored on the cloud.
Splicing and mRNP (Ribonucleoprotein Complex) Movement

Eukaryotic cells export several different classes of RNA molecule from the nucleus, where they are transcribed, to the cytoplasm, where the majority participate in different aspects of protein synthesis. It is now clear that these different classes of RNA, including rRNAs, tRNAs, mRNAs and snRNAs, are specifically directed into distinct but in some cases partially overlapping nuclear export pathways. All non-coding RNAs are now known to depend on members of the karyopherin family of Ran-dependent nucleocytoplasmic transport factors for their nuclear export. In contrast, mRNA export is generally mediated by a distinct, Ran-independent nuclear export pathway that is both complex and, as yet, incompletely understood. However, for all classes of RNA molecules, nuclear export is dependent on the assembly of the RNA into the appropriate ribonucleoprotein complex, and nuclear export therefore also appears to function as an important proofreading mechanism. Keywords---adaptor, mRNA export, nuclear pore complex, splicing, TREX.
Face Tracking Techniques in Color Images : A Study and Review

Face tracking has become an increasingly important research topic in the computer vision field, mainly due to its large amount of real-world applications and situations where such methods can be applied, such as Video Surveillance, Criminal Identification, Terrorist Identification, Border Intrusion. It is very difficult to come up with a robust solution due to variations in illumination, pose, appearance, etc. This paper presents a comparative study and analysis of face tracking techniques. Of the face tracking methods used till now, Memory-based Particle Filter method and Stereo methods and Kanade–Lucas–Tomasi and Scale-invariant Feature Transform of Model Based used for face tracking algorithm produces almost 100% results.