Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevent shoulder surfing using graphical and duo letter authentication

Generally word-based password are use for the authentication. Graphical password is introduced opposite techniques to word-based passwords. As most users are more familiarized with textual (word-based) passwords than pure graphical password. Shoulder-surfing is a get risk where an attacker can capture a password by direct show or by listening the authentication session. Text can be combined with alphabets, digits, images and or colors to generate session passwords for authentication. Run times password can use only once time because every time a new password is generate. Session Password is support graphical password methods and Pair based methods scheme is both secure and efficient. In this papers, we are propose an improved text-based shoulder surfing resistant graphical password scheme by using graphical and pair based methods is used for alphabets, digits or symbols The user can easily and efficiently login system. Proposed system we have been analyze the security and usability of the proposed methods, and show the supports of the scheme to shoulder surfing and get accidental login.
A Brief Review of Comb filter Design Techniques

The Comb filters are a class of optimized FIR filters also used for the purpose of decimation. The main objective of this survey paper is to study comb filters and compare various sharpening techniques. CIC filters are used for removing aliasing due to decimation and interpolation during the process of sample rate conversion. Comb filters because of low complexity filters are used for the operations of filtering the signal where sample rate conversion is required. FIR filters can be used for the process of decimation and are also known as non-recursive filters. The IIR filters can also be used for the purpose of decimation and known as recursive filters. The comb filters have a high droop in pass-band which is responsible for distortion of the incoming signal and also introduces stop-band attenuation in impulse response of filters. Various techniques have been designed for reducing pass-band droop as well as increasing attenuation in stop-band. The Sharpening technique improves attenuation in stop-band as well as improves droop in pass-band without increasing complexity of the circuit design. The sharpening technique improves both stop-band and pass-band by making multiple use of identical filter.
GPU Accelerated Image Segmentation using Cascaded Hierarchical Models

: Image segmentation is a fundamental problem in image processing that aids in the analysis and interpretation of images. All pixels in the image that are similar with respect to some property are grouped together into a single segment. The discovery of similar pixels can be enhanced by incorporating contextual information into the segmentation process. Further, using information about the context makes segmentation robust to noise. However, two major issues arise during such an attempt. Firstly, unsupervised extraction of contextual information from an image is a difficult problem, and secondly, there are no formal techniques that describe how to effectively utilize the extracted contextual information. Seyedhosseini, et al. [1] present a hierarchical framework for learning contextual information in an image. In this method, each level consists of a classifier that is trained on the outputs of the previous level and a down-sampled version of the input image. The contextual information obtained from this classifier is then used for segmenting the input image at its original resolution. The classifier used in this method consists of a layer of logistic sigmoid functions that perform adaptive feature detection and a pair of fixed layers that are composed of logical units to perform conjunctions and disjunctions. This procedure is evidently sequential, with the parameters of the classifier at each level dependent on the outputs from the preceding levels. In this work, we parallelize the computation of discriminants for the classifiers on GPUs, achieving a speedup of 400X without any loss in accuracy during testing, as compared to the original CPU-only work.
AN ACCURATE SELF SYNCHRONIZING PROTOCOL FOR CLOCK SYNCHRONIZATION IN WSNs

: Wireless ad-hoc sensor networks are becoming popular to collect data from the area of interest. But for data collection purpose nodes in the network must be synchronized with each other or with the global clock. Synchronization is needed for Media Access Control (MAC) protocol such as Time Division Multiple Access (TDMA). Wireless sensor networks have limited battery energy, because they are small in size. All these requirements of wireless sensor networks demand an accurate and energy efficient synchronization protocol. The Recursive Time Synchronization Protocol (RTSP) algorithm is designed to achieve network wide clock synchronization with good accuracy and to save battery energy. In the proposed paper a change is made in the self-synchronization part of the RTSP algorithm. With this change in RTSP algorithm we achieved 4.8 times more accuracy of clock synchronization for node’s clock. The energy saving in proposed algorithm is 1.8 times more as compared to existing RTSP algorithm with simplicity in implementation of algorithm.
Bioprocess Technology Governs Enzyme Use and Production in Industrial Biotechnology: An Overview

Catalyst in a chemical reaction used to fast the process. Enzymes are using as biocatalyst. Enzymes are proteins that used to fast the reaction rate to form product. Enzymes are available from different sources such as from extreme environment or from normal microorganism and also from different species. Therefore, enzymes are the key factor to build and maintain the cells such as bacteria or fungi and also all living organisms including human beings. Enzymes are so called very small machines evolved millions of years to perform very specific biochemical tasks. Some enzymes have been designed by nature to build chemical compounds and others are either breaking them or modifying them over time. These breaking or modifying bond between molecules called reactions. Enzymes are used as catalyst for the reaction so that the reaction is very fast (million times faster than normal reactions) and effective.
Segmentation of Video Using local Descriptors and Optical flow Techniques

— Dynamic textures are textures in motion, defined as sequences of frames (images) of moving scenes. The segmentation represents the image into much better way and which can be quick and easier to analyze. But the segmentation of such dynamic textures is a difficult task. Because of its random nature . dynamic textures have features spatial (appearance) and temporal (motion) and they may be different from each other. Thus in our paper, we combine the spatial and temporal modes , to achieve robust segmentation specially for cluttered dynamic textures. The techniques we are using is local descriptors including local binary pattern (LBP) and Weber local descriptor (WLD), these two features are computed for every frame in the video and accordingly the equivalent histograms are being obtained which are further compared With set threshold, thus obtaining the dynamic texture segmentation.Optical flow technique is used for representing the movement of objects , we also compute the histogram of oriented optical flow (HOOF) to arrange the optical flow of region.
Comparative Analysis Of Methods For Semi-Supervised Dimensionality Reduction

: Data classification is one of the most challenging areas in the field of Machine Learning and Pattern Recognition application where data is represented as a point in high-dimensional space. The data can be classified using supervised learning if it is already labeled. Otherwise unsupervised learning is used. To get golden point between them, Semi supervised learning is introduced which uses both labeled and unlabeled data. Analyzing the high dimensional data is the biggest challenge that can be tackled with the help of dimensionality reduction techniques. When Dimensionality Reduction is embedded in Semi supervised learning, it gives superior performance. The purpose of dimensionality reduction is to reduce complexity of input data without losing important details. In this paper, Semi supervised learning is studied using four different approaches. Analysis and comparative study of these techniques is illustrated with the help of three datasets. Role of dimensionality reduction is also observed in the classification of data.
Using Sentimental Analysis Approach Review on Classification of Movie Script

_____________________________________ Abstract – Now a day’s sentimental analysis has become one of the greatest innovation and efficient technique of information and data analysis.Sentimental analysis of a movie review plays an important role in understanding the sentiment conveyed by the user towards the movie. Now a day’s analysis is more towards specification of categorization or classification of movies in user specific choice which are dependent in either the mood or emotion or choice of user perspective. So proposed a method where movies based on subtitles that are played by characters contains such kind of sentimental words in sentences so that movie can be classified into specific genre. In current work, using the subtitles in dataset and considering movie genre like comedy, thriller, action drama and horror, it can be developed sentimental analysis model using lexicons that are context specific to each genre under consideration. Proposed methodology will play important role in field of movies industries too.
Privacy Preservation and Anonymization of Data in Cloud Computing

: Proposed solution greatly decreases communication overhead by allowing more accurate datato be transmittedfor multiparty analysis, yet preserving the anonymity of the data making it more secure for persisting the data on cloud DB. In cloud computing maintaining the anonymity of data to be shared across multiple entities is crucial for privacy of users in various application domains patient medical records, electronic voting, e-mail, social networking, etc. Existing Anonymization techniques and new algorithms for assigning anonymous IDs are examined with respect to trade-off s between communication and computational requirements. The new algorithms can be built on top of a secure sum data mining operations using encryption for Privacy Preserving Data Sharing with Anonymous ID Assignment. An algorithm for distributed solution of certain polynomials over finite fields can enhance the scalability of the Anonymization technique. The algorithm for anonymous sharing of private data among parties is to be developed. This assignment of anonymous ids is done for users so that the identities received are unknown to the other members of the group such that it allows more complex data to be shared and has applications to other problems in privacy preserving data mining, collision avoidance in communications and distributed database access.
Depression and Self Esteem in Patients with Morbid Obesity: The Effect of Sleeve Gastrectomy

Obesity is a major health problem worldwide. It has been associated with high prevalence of depression and low self-esteem. Laparoscopic sleeve gastrectomy, a bariatric procedure, is simple and effective in weight reduction with few complications. We studied depression and self esteem in patients with morbid obesity before and after laparoscopic sleeve gastrectomy. Methods: Depression, self-esteem and physical health were assessed in 64 patients with morbid obesity (Group I) before the surgery compared with 64 matched healthy subjects (Group II) and 1 year after the surgery (N=61) to detect any changes in these parameters after the surgery. Depression was diagnosed by the Mini International Neuropsychiatric Interview (MINI) and it’s severity was assessed by the hospital anxiety and depression scale depression sub-scale (HADS-D). Self-esteem was assessed by Rosenberg self esteem scale (RSE), and physical health was assessed by physical domains of Short-Form 36 (SF-36) Questionnaire. Results: There was a high prevalence of depression 29.68% (19/64) with HADS-D mean score (7.08 ± 2.51), low self esteem and a poor physical health in patients with morbid obesity compared with control group. One year after laparoscopic sleeve gastrectomy, all these parameters improved (P<0.001) and the improvement in depression and selfesteem was significantly correlated with reduction in BMI (r= 0.41, -0.39, respectively) and improved physical health (r= -0.43, 0.33, respectively). Conclusion: There was high prevalence of depression and low self-esteem in patients with morbid obesity and LSG improves all these parameters as a result of both reduction in BMI and improved physical health after the surgery. [Saleh M. Aldaqal and Mohammad G. Sehlo. Depression and Self Esteem in Patients with Morbid Obesity: The Effect of Sleeve Gastrectomy] Journal of American Science 2011; 7(12):1116-1123]. (ISSN: 1545-1003). http://www.americanscience. org. 141 Key wards: Depression, self-esteem, morbid obesity, sleeve gastrectomy.
A STUDY REPORT ON FINGER PRINT IMAGE ENHANCEMENT METHODS

In this paper Finger print Image Enhancement method in spatial domain and frequency domain using filter is discussed. The state-of-art in the literature is reviewed to provide a foundation for the evaluation of the proposed approaches. Fingerprint enhancement can be conducted on either binary ridge images or gray-scale images. Different techniques for gray-level fingerprint images enhancement have been proposed assuming that the local ridge frequency and orientation can be reliably estimated. A good fingerprint enhancement technique obtains a relatively good estimate of orientation field even if the quality of input fingerprint image is poor. Most of the fingerprint enhancement techniques use contextual filter or multi-resolution filter whose parameters depend on the local ridge frequency and orientation.
Lymphocytes to Neutrophils Ratio, the Immunologic Link between Chronic Pancreatitis and Pancreatic Cancer; A Single Center Study

Aim: The study aims to establish a relationship between pancreatic cancer and chronic pancreatitis, using NLR as a potential risk factor. Methodology: The clinical data, blood dyscrasias, and immunohistopathological results of 400 observations and 200 healthy patients were studied in Pancreatic Disease Institute of Wuhan Union hospital in China. The group consisted of 256 male and 144 female subjects, during the follow-up, the Chronic pancreatitis group were divided into two group (patients performed surgery and surgery not performed). The possible etiological factors assessed in this study were: history of pancreatitis, neutrophil-to-lymphocytes ratio (NLR). Results: From history, 25 patients with chronic pancreatitis was investigated to have the malignancy transformation. Of this group, Six (6) have malignancy transformation in 84 post-operated patients, whereas 19 patients have malignancy transformation in 116 non-operated patients. Of these 19 patients 7, have performed surgery of because of malignancy transformation The incidence of pancreatic cancer was significantly lower in patients who had received surgery for chronic pancreatitis than in those who had not undergone surgery (hazard ratio estimated by Cox regression 0.63 [0.8 1.2], 95% CI (P = 0.02). The risk for pancreatic cancer in chronic pancreatitis patients, with high neutrophil-to-lymphocyte ratio HR 3.2 (95% CI 2.6 3.8). For Chronic pancreatitis progressing to Pancreatic cancer with high neutrophil-to-lymphocytes ratio the adjusted hazard ratio was found to be 3.4 at 95% confidence interval (CI) (2.1 4.7). Further, the immunohistochemistry results, combined with medical history confirmed 25 cases of chronic pancreatitis progressing to pancreatic cancer. Conclusion: Our study demonstrated that the neutrophil-to-lymphocyte ratio can not only be used for providing prognostic significance, but it also can be regarded as a risk factor in the progression from chronic pancreatitis to pancreatic cancer.
Nosocomial Urinary Tract Infections

About 40% of Nosocomial acquired infections are urinary tract infections. About two third cases the origin of microorganism is endogenous but sometimes from the moist environment of the hospitals. Nosocomial UTI's develop when indwelling urinary catheter is contaminated with microorganisms. So the catheters impregnated with antibiotics are beneficial. The risk of NUTI's are reduced when the following guidelines are followed which means washing the hands with sanitizer, using sterile gloves, isolation of infected patients. Pathogens causing Nosocomial UTIs are having higher antibiotic resistance than pathogens causing uncomplicated UTI's. Initially standard regimen is given to treat the UTI's if it is not treated than the urine sample is sent to the lab to identify the causative organism. The antibiotic treatment depends on patient status whether she is pregnant or not, age, severity of disease. Various factors are also contributed to disease such as host, environmental, microbial factors.
Progress in Treatment and Prevention of Trichinellosis

Trichinellosis is a foodborne parasitic zoonosis caused by eating raw or uncooked meat of animals infected with Trichinella species. The disease is widely distributed all over the world. It is a public health hazard by affecting humans and represents an economic problem in porcine animal production and food safety. Drugs used to treat trichinellosis include anthelmintics and glucocorticosteroids. Benzimidazole derivatives or adding excipients, medical plant extracts and some biological agents have shown good insecticidal effects. Preventing infection is crucial for combating human and mammal trichinellosis. Designing effective vaccines and developing promising probiotics may be future preventive strategies against infection with Trichinella spiralis infection. This paper reviews new progress in the treatment and prevention of trichinellosis.
Structural, Thermal, Mechanical, Dielectric And Optical Properties Of Magnesium Sulphate Doped In Potassium Borooxalate: A New Nonlinear Optical Material

Nonlinear optical (NLO) materials are useful in many industrial applications. A new semiorganic nonlinear optical Magnesium sulphate doped Potassium Borooxalate single crystals have been grown by Slow Evaporation technique at ambient temperature. The title compound has been subjected to single-crystal X-ray diffraction analysis to identify the unit cell parameters. Fourier Transform Infrared spectroscopic analysis was carried out on the grown sample to ascertain the fundamental functional groups. Optical absorption studies illustrate low absorption in the entire UV and Visible region. The crystal was subjected to DSC analysis to find its thermal stability. The dielectric response of the crystal with varying frequencies was studied. The mechanical property of the grown crystals had been analysed by Vickers’s microhardness method. The NLO property of the grown crystal has been confirmed by the Kurtz powder Second Harmonic Generation (SHG) test.
USE OF PROTOZOA AS BIOLOGICAL INDICATORS OF WATER QUALITY AND POLLUTION

Protozoa have many advantages for assessing water quality due to their short life generations and more rapid response to environmental stress. This approach has been used for the investigations of the aquatic biota which take into account the general ecology of an area and the classification of water quality with respect to organic pollution ( 1 Antipa, 1977 and 2 Wilber, 1969). The Jammu and Kashmir which was once bestowed with a large number of fresh water lakes is losing sheen due to over exploitation and negligence in conservation strategies. Thus, attention has been focused on bio-assessment using protozoa as bio-indicators for evaluating water quality and pollution. The protozoa as biological indicators have been used extensively in assessment of water quality throughout the world. However, very little investigations of this nature have been carried out in the lake under study. The water quality status of Anchar Lake has been seriously influenced by human activities. It is in this backdrop that the study on “Use of Protozoa as Biological Indicators of Water Quality and Pollution” was carried out in the Anchar Lake of Kashmir under different environmental conditions for a period of two years in which 30 protozoan taxa were recorded. The present investigation also aims to assess the impact of agriculture and sewage disposal on its water quality and protozoa by using different statistical tools.
Elucidation of rRNA Secondary Structure and Phylogenetic Analysis of Salmonella enterica based on 16S RNA

Salmonella spp. are ubiquitous enteric bacteria. These are gram-negative rods and etiologic agents of food-borne salmonellosis, typhoid and paratyphoid fevers. The genus Salmonella comprises a group of Gramnegative bacilli belonging to the family Enterobacteriaceae and contains a number of closely related organisms. The genus consists of two species, S. enterica and S. bongeri. S. enterica has been further subdivided into over 2500 serotypes that can be differentiated by the Kauffman-White scheme, which is based on the serologic identification of O (somatic) and H (flagellar) antigens. Approximately 1400 of the serotypes have been reported to cause gastroenteritis in humans, while only a handful are capable of causing typhoid, a potentially fatal systemic infection (Leekitcharoenphon et al., 2016).
Contribution Of Information Sharing In Wireless Sensor Network With Prune Delay

: The increase in the number of smart phone users has lead to the increase in the peer-to-peer adhoc content sharing. Traditional data delivery schemes are not suitable for such networks due to intermittent connectivity between smart phones. Thus new content sharing mechanisms should be proposed. To share the contents in such a scenario, researchers have proposed store-carry-forward as an efficient content sharing scheme where a node stores a message and carries it for certain duration until a communication opportunity arises and then delivers it to the destination. Previous works in this field focused on whether two nodes would encounter each other and the place and time of encounter and did not consider the activities of malicious peers. This paper proposes discover-predict-deliver as efficient content sharing scheme that enable peers to share contents and also presents distributed algorithms that enable a peer to reason about trustworthiness of other peers based on past interactions and recommendations. Interactions and recommendations among peers are evaluated based on importance, recentness and peer satisfaction parameters.
Does Early Caffeine Therapy Effect Patent Ductus Arteriosus Outcomes in Very Low Birth Weight Infants?

In the developing fetus, the ductus arteriosus is a vessel which sends blood from the pulmonary artery to the proximal descending aorta, thereby shunting blood from the right ventricle away from the fluid filled fetal lungs. In the first 3 days of life the ductus arteriosus is a physiologic shunt found in both healthy term and preterm infants [1]. However, if the ductus remains open, it now becomes a patent ductus arteriosus (PDA) and can have varying degrees of clinical consequence depending on the degree of left to right shunting [2]. The incidence of persistent PDA in term infants is 57 in 100,000 live births. Whereas, a persistent PDA can be found in 1 in every 3 preterm infants with a birth weight between 500 and 1500 grams [1,3-5]. The persistence of a PDA has been Academic Journal of Pediatrics & Neonatology ISSN 2474-7521