Miracle-dz/UniFAR-FTUs huggingface dataset:
Production of Micro Crystalline Cellulose from Corn Husk and Its Evaluation as pharmaceutical Excipient

We have extracted cellulose from corn huskusing an eco-friendly multistep procedure involving acid-alkaline treatment andbleaching. This multistep procedure essentially removed lignin and hemicelluloses. The extracted cellulose is highly crystalline as verified by X-ray diffraction, Fourier transform infrared spectroscopy. The aim of this work was to prepare and evaluate micro crystalline cellulose as a potential excipient in the production of pharmaceutical dosage forms due to itslow cost as it is derived byrecycling wastes.
HYDROCARBON OXIDIZING MICROORGANISMS: THEIR ISOLATION AND STUDY OF COLONIZATION CAPACITY FOR THE USE IN RHIZOREMEDIATION PROCESSES OF CONTAMINATED SOILS

Developing methods to clean up the environment from oil and oil sludge contaminations is a priority area of the environmental biotechnology. Despite significant advances in the field of studies, the issue of expanding the methods of soil purification from oil contamination remains open. In our studies, we, first of all, obtained a hydrocarbon oxidizing bacteria capable of the active colonization of plant rhizosphere and the oil degradation at the same time. Among the isolated strains, the strains belonging to the Pseudomonas genus had the greatest capacity to colonise plant roots and oil degradation. Identification of the main strains with high colonization capacity via biotyper and 16S rRNA gene analysis has shown that Pseudomonas putida and Pseudomonas fluorescens relate to the species that constitute a high priority for rhizoremediation. These microorganisms colonized the rye (Secale cereale) roots with an average density of 1.1-2. 0х10 6 cells per centimetre of root length. Furthermore, at inoculation of germinated rye seeds and rye seeds treated with hydrocarbon bacteria, distribution of the bacteria degrading oil was observed over the entire area where the plant roots are growing. The total number of bacteria on the plant roots did not only maintain, but increased. Therefore, the isolated and identified strains of Pseudomonas putida and Pseudomonas fluorescens bacteria can be recommended for the use in rhizoremediation methods.
The Mediating Role of the Perceived Usefulness in the Acceptance of E-learning

: The mediating role of the perception on the usefulness of e-learning in the relationship between the perceived ease of use and the acceptance of e-learning for study is important. However, previous research has not discussed and investigated this important relationship. This research applies Sobel’s technique to test the mediating effect of the perceived usefulness of e-learning and provides statistical evidence that the perception on the usefulness of e-learning imposes a statistically significant mediation in the association between the perceived ease of use and the acceptance of e-learning. The findings offer researchers and educational managers with good understanding of the complicated relationships among the above variables related to e-learning. This is helpful to educational organizations for their decision in accepting e-learning for education.
A Survey Paper on WiMAX Technology

ABSTRACTWireless Networking has become an important area of research in industry and academics in recent years. The main objectives of this paper are to gain knowledge about the WiMAX technology, its security and application. WiMAX (Worldwide Interoperability for Microwave Access) technology is based upon the IEEE 802.16 standard (IEEE Wireless MAN Air Interface) which enables wireless broadband services anytime, anywhere. The WiMAX specification provides symmetrical bandwidth over large area and range with stronger encryption and typically less interference. WiMAX based system can be used to transmission of signal over maximum 50 km. WiMAX outdistances WiFi by miles. WiMAX can deliver high data rate to multiple users. The WiMAX Forum describes WiMAX as” a standards-based technology enabling the delivery of last-mile wireless broadband access as an alternative to cable and DSL”. The main goal/purpose of this technology is to deliver wireless communications with quality of service in a secured environment. This standard was developed to deliver line-of-sight (LoS) and non-line-of-sight (NLoS) wireless services between subscriber and base station and to address “last mile” problem.
Keyword Extraction through Applying Rules of Association and Threshold Values

— Keywords are a set of significant words in an article that gives high-level description of its contents to readers. They provide a concise and precise high-level summarization of a document. Keywords are useful tools as they give the shortest summary of the document. A keyword is identified by finding the relevance of the word with or without prior vocabulary of the document or the web page. Generating the word statistics as well associating the words and categorizing it is the main focus which is pinned down in this paper.
Analyzing the Effect of Loadability in the Presence of TCSC &SVC

The loadability enhancement problem with loadability objective is solved in the presence of TCSC and SVC while satisfying system equality and in-equality constraints. It is necessary to solve the optimal power flow in the presence of series and shunt flexible AC transmission system controllers such as thyristor controlled series capacitor and static VAr compensators. The optimal location of these controllers is identified so as to maximize the system security. The optimal parameters of this controller and system are identified using the developed gravitational search algorithm. The effectiveness of the proposed methodology with TCSC and SVC is tested on standard IEEE-30 bus test system with supporting numerical and as well as graphical results.
LOW POWER – HIGH SPEED DESIGN OF COUNTER USING DDFF AND DUAL MODE LOGIC

— This paper introduces a 4-b Johnson up-down counter that incorporates low power dual dynamic node hybrid flip-flop (DDFF) and novel dual mode logic (DML). A DML logic is introduced here which improves the speed performance of the design, also achieving significant energy consumption reduction. The large capacitance in precharge node is eliminated by the DDFF and DDFF-ELM designs by using a split dynamic node structure. The DDFF offers power reduction. The DDFF-ELM reduces pipeline overhead. 4-b Johnson up-down counter is used to magnify the performance improvement of the designs, to which the DML logic is introduced. This logic allows operation in two modes: 1) Static and 2) Dynamic modes. These on-the-fly change between two operational modes, provide very low power dissipation in the static mode and high performance in the dynamic mode. The simulation results are compared using Tanner EDA tools in 90nm technology. The performance improvements indicate that the proposed designs are well suited for modern high-performance circuits where power dissipation and delay overhead are of major concern.
Multilevel Image Compression in Encrypted Domain

: Image compression is nothing but reducing the size of data required to represent an image. In the few recent years there is tremendous growth of data intensive and multimedia based applications, efficient image compression solutions are becoming critical. The main objective of Image Compression is to reduce redundancy of the data and improve the efficiency. The main techniques used are Fourier Analysis, Discrete Cosine Transform vector quantization method, sub-band coding method. The drawbacks in the above methods are, they cannot be used for real time systems. In order to overcome these problems, the Wavelet Transform method has been introduced. The signal processing after encryption that is in cryptosystem is relatively somewhat new topic. The data size to store available information require large memory, so here we are proposing a method called multilevel discrete wavelet transform(DWT) in encrypted domain. We are suggesting a frame work for carry out DWT and its inverse DWT in the encrypted domain. With this proposed framework we carry out multilevel DWT and inverse DWT in Homomorphic encrypted domain.
Literature Survey On Contactless Palm Vein Recognition

Contactless palm vein recognition is one of the newest biometric techniques which has high level of accuracy as it is located inside the human body and does not change over the life time. In this paper, we present a rev iew of different palm vein recognition techniques that are widely used today. We mainly discuss the technical aspects of recent approaches for the following processes; identification of region of interest (ROI), segmentation of palm vein pattern, palm vein feature extraction, and matching. The analysis mainly focuses on different local descriptors which can efficiently extract vein texture
PERFORMANCE ANALYSIS OF NARX NEURAL NETWORK BACK PROPAGATION ALGORITHM BY VARIOUS TRAINING FUNCTIONS WITH TRACKING SIGNAL APPROACH FOR TIME SERIES DATA

This study proposed a novel Nonlinear Auto Regressive eXogenous Neural Network (NARXNN) with Tracking Signal (TS) approach and seeks to investigate the various training functions to forecast the closing index of the stock market. A novel approach strives to adjust the number of hidden neurons of a NARXNN model with different training functions. It uses the Tracking Signal (TS) and rejects all models which result in values outside the interval. The effectiveness of the proposed approach is seen to be a step ahead of Bombay Stock Exchange (BSE100) closing index of Indian stock market. This novel approach reduces the over-fitting problem, neural network structure, training time; fast at convergence speed and improves forecasting accuracy. In addition, the present approach has been tested with different training functions and identified the neuron counts in the hidden layer for every training function which leads to reduce over-fitting or under-fitting problem.
Color Image Encryption for Secure Transfer over Internet: A survey

- With the tremendous and rapid growth of information interchange through internet transmission, information security has become a major issue to deal with. As because images are being used more in business and industrial process, military and medical and also in scientific researches, it has become the important factor to protect the confidential image data from unwanted access or intruders. Because of development of technology, the hacking techniques, and attacks are also becoming more and more intelligent. As a result, traditional approaches of image encryption are failing to be a good competitor with the attackers. Image encryption has been a wide area of research field. The protection of image data is more important because it contains maximum features of a person or thing. Image encryption is employed to protect an image from unauthorized access and increase image security over internet. Nowadays Internet is used for transmitting and storing huge amount of information. Since the internet has many loopholes and several scopes of hacking or being attacked by intruders. So, our personal and private image need to be protected during transmission over internet. Researches have done satisfactory numbers of researches and developed lots of image encryption algorithms till now. In this paper, we illustrated a brief survey of some significant works regarding image encryption techniques in different domains and our main perspective will be to come up with a better solution to make images more secure in the future.
IMPROVING THE MUTUAL CACHING SERVICE FOR DATA ACCESS IN DISRUPTION TOLERANT NETWORK WITH COOPERATIVE POSITIONING AND TRACKING

Disruption tolerant networks (DTNs) are portraying by low node frequency, unreliable node mobility and lack of global network information. Most of current research efforts in DTNs focus on data promote, but only limited work has been done on providing efficient data access to users. Support for cooperative caching in DTNs is a novel approach which enables the sharing and distribution of cached data among multiple nodes and reduces data access delay. The fundamental idea is to intentionally cache data at a set of network central locations (NCLs), which can be easily accessed by other nodes in the network. A NCL selection based on a probabilistic selection metric and coordinates multiple caching nodes to optimize the trade-off between data accessibility and caching overhead. In DTNs the current position of the nodes and also their transition can be tracked by the PulseCounting and ProbTracking technique. This process has the similar technique like GPS.
Identification of Weeds on Crop Lands for Site Specific Spraying

Adaptation of this method of identification of weeds in specific areas on crop lands which help for healthy agriculture. Mostly separations of weeds from the crops are done with the help of image processing. It is the process of separation of weeds specifically from the crops. This method of separation will be helpful in optimization of herbicide usage. There are several methods of image pre-processing used to remove the information which is irrelevant from the image other than weeds. Crops are separated in rows. Different colour models are used and then proposed for grey image, vertical projection is used to identify centre line of crop row. Image segmentation is the first process to segment the image using various methods like greenness identification with the help of RGB and H-components with YIQ, HSV, HIS colour spaces. It leads to 126 colour feature extraction from the image. Cultural algorithm is used for separation of feature from the image and Search algorithm is used in specific identification of crops and weeds for specific spraying. After feature extraction SVM algorithm and BP algorithm is used for experimental result for higher accuracy of about 92.8% in realtime decision.
Comparison of Maintenance Activity for Effort Estimation in Open Source Software Projects

: Software estimation accuracy is amongst the biggest challenges for software developers. The most significant activity in software project management is Software development effort prediction. Many modelshave been proposed to make software effort estimations, but still no single model can predict the effort accurately. Thedemand for accurate effort estimation in the software industry is still a challenge. Accurate, precise and reliable estimates of effort at early stages of project development hold great importance for the management to meet the competitive demands of today's world. Software cost estimation is one of the most crucial tasks and predicts the effort and development time needed to develop a software system. It helps the software industries to manage their software development process efficiently. In this paper, we introduce an approach to building an effort estimation model for Open Source Software. Forthis purpose, effort data is mined from the developer's bug fix activities history. Ourapproach determines the actual time spend to fix a bug and considers it as an estimated effort. We propose an artificial neural-network-based approach to predict the amount of effort and development time of developers required for bug resolution. This paper investigates the use of Back-Propagation Neural networks for software effort estimation. The primary purpose of this paper is to estimate the software development effort using Artificial Neural-Network based techniques to improve accuracy of developers for bug resolution.
In Silico Structural and Functional Insights into the Lipoxygenase Enzyme of Legume Cajanus Cajan

Lipoxygenases (LOX) are a family of enzymes known to play a key role in the plant response related to osmotic, drought and highsalinity stress. Plants contain multiple isoforms of the lipoxygenase (LOX) enzyme which differs in terms of its substrate preference, optimal pH, product formation, and stability. Till date, no study has been done to focus on the structural and functional aspect of lipoxygenase enzyme of Cajanus cajan, an important legume crop of Indian sub-continent. The present work revealed that the LOX enzyme of Cajanus cajanis a 96.65 kDa monomeric stable protein. It also contained an iron ion as a ligand in its predicted structure. Ramchandran’s analysis showed the modeled tertiary structure to be a stable one with 91.7% residues in the favoured regions. This study will be helpful to understand the structural aspects of LOX enzyme and would help future studies to enhance the expression of this enzyme in response to major abiotic (mainly salt stress) and biotic stresses. Keywords-Lipoxygenase; Cajanus cajan; homology modeling; abiotic stress. __________________________________________________*****_________________________________________________
GRADIENT CONTROLLED IMAGE MAGNIFICATION

One of the most common methodologies to obtain a high resolution image is enlargement of a low-resolution image. Different image interpolation techniques are used for image enlargement. A typical problem with most interpolation techniques is that although smoothing the pixels and keeping the low frequencies in the new zoomed images, they are not able to enhance the high frequencies or preserve the edges equally well. Visually those problems will result in undesirable artifacts like blurring, aliasing or blocking effects. In this paper, an algorithm has been proposed that works in a locally adaptive way, sensing and preserving the edges. By preserving the edges sharpness and applying gradient controlled smoothness mechanism, a quality high-resolution image can be obtained free of aliasing effect. The quantitative and quantitative results demonstrate the superiority of the algorithm over other representative interpolation methods.
In vitro Evaluation of Antifungal Activity of Callicarpa macrophylla Vahl. Leaves

Aqueous extracts of leaves of Callicarpa macrophylla Vahl. traditionally known for medicinal value were evaluated for antifungal efficacy against six pathogenic fungi namely viz, Alternaria alternata, Aspergillus flavus, Aspergillus niger, Cladosporium cladosporidies , Drechslera halodes and Fusarium moniliforme by agar-well diffusion method. The minimum inhibitory concentration (MIC) was determined through the broth dilution method which was found in the range of 3.50 – 4.25 mg/ml. Aqueous extract of C. macrophylla leaves exhibited varying degrees of antifungal activity against all the six test fungi. Radial growth inhibition of at concentration of 5, 10, 20 and 30 mg/ml was much less than that of positive control. However, 40 and 50 mg/ml test concentration of extract was considerably effective on growth inhibition of all the test fungi. The study thus revealed the promising antifungal efficacy of C. macrophylla leaves and its potential for development of botanical fungicide.
Studies on Hydrodynamics of Food Grains in a Circulating Fluidized Bed

Circulating Fluidized Beds are currently used in many industries for drying, catalytic and non-catalytic reactions and other applications. The circulating fluidized bed consists of a riser in which a gas-solid suspension is transported upward. The twophase mixture is separated at the top of the riser and solids are recycled to the bottom via a stand-pipe. Hydrodynamics plays an important role in defining the performance of circulating fluidized bed as a reactor. Hence, the present work focus to study the hydrodynamic characteristics of food grains in the riser of the circulating fluidized bed covering a wide range of operating parameters. The column was made of plexi glass with 1.6m in height and 0.05m in diameter. The effects of operating conditions on axial distributions of solids holdup and particle velocity has been studied.
The Changing Bacteriological Profile with their Antibiograms and Outcome of Culture Positive Neonatal Sepsis in a Tertiary Care Centre of Eastern India

Introduction: Sepsis is one of the most important causes of neonatal mortality. During sepsis, upregulated cytokines and pro-inflammatory cells result in brain damage among both term and preterm neonates. However, the microbial spectrum and their antibiograms show inter-regional variation and even vary in hospitals of the same region.
SECURE AND EFFICIENT METHOD FOR INCREASED NETWORK LIFETIME IN WSN USING MOBILE ADHOC BASED CPS

— In recent times, the advancement in the wireless communication and network security has made it possible to connect and operate numerous devices by constructing reliable networks. Efficient topology control methods ensure energy saving in static networks. Mobile ad-hoc based CPS are most suitable platform for constructing networks. The deisgn faces some major research challenges, namely the need to enhance network connectivity constructed and to reduce the energy consumption and end-to-end delay between the nodes. To address these research challenges, a novel technique called mobility aware local tree based reliable topology is introduced (MA-LTRT) along with reliable route establishment algorithm. The much needed approach of providing security for data is also taken care in this project. Thus, a security mechanism which provides authenticity and safeguards the information during its transmission is introduced using Blowfish algorithm.
A prospective study on outcome of function after proximal row carpectomy

Background: Proximal row carpectomy (PRC) is a procedure with varied indications. The purpose of this study was to evaluate functional outcomes with PRC in wrist flexion deformities, neuromuscular disorders and also post-traumatic wrist arthritis. Methods: A prospective study was performed on all patients who underwent PRC between April 2015 and December 2017, in BIRRD (T) hospital, Tirupati, Andhra Pradesh with a minimum follow up of 6 months. Outcome was assessed in terms of range of motion (ROM), grip strength, quick disabilities of the arm, shoulder, and hand (QDASH) score and pain score. Data was analyzed using the Student t-test. Results: Thirty-two patients underwent PRC of which 12 are neuromuscular disorders, 10 are wrist flexion deformities, 10 are post-traumatic wrist arthritis. On the final follow-up, significant improvement in ROM was observed in wrist flexion deformities and neuromuscular disorders, whereas grip strength and QDASH scores showed a significant difference in post-traumatic wrist arthritis. Pain was studied only in post-traumatic wrist arthritis, all were very much pleased with pain reduction. Conclusions: PRC is fairly a reliable procedure for all the indications in our study. We consider that PRC is a promising procedure in correcting wrist flexion deformities. Though there has been significant improvement in all the parameters for all the cases, we consider this procedure is best suited for post-traumatic arthritis group.
Discrete and Stationary Wavelet Decomposition for IMAGE Resolution Enhancement

— An image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet transform (SWT). DWT is applied in order to decompose an input image into different subbands. Then the high frequency subbands as well as the input image are interpolated. The estimated high frequency subbands are being modified by using high frequency subband obtained through SWT. Then all these subbands are combined to generate a new high resolution image by using inverse DWT (IDWT). The quantitative and visual results are showing the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques.