Miracle-dz/UniFAR-FTUs huggingface dataset:
DETECTION AND QUANTITATION OF RED COMPLEX BACTERIA IN SUBGINGIVAL PLAQUE BY USING FLUORESCENT IN SITU HYBRIDIZATION (FISH)

Motivation/Background: Red complex bacteria are proven periodontal pathogens. In dentistry, there is a need to identify and quantitate the organisms from the diseased sites quickly and reliably. Since culture requires several days, molecular methods are being used frequently to detect these bacteria. Among them, Fluorescent in situ hybridization (FISH) is rapid, sensitive and quantitative. An attempt is made here to evaluate the applicability of this technique as a diagnostic tool in periodontology. Method: Subgingival plaque was collected from participants, fixed with paraformaldehyde and subjected to FISH. Fluorescently labeled oligonucleotide probes were used for hybridization. After the procedure, the fluorescently stained bacteria were identified and counted from the smear and quantitated using a simple grading. Results: There was a significant difference in the prevalence and numbers of red complex bacteria in healthy and diseased subjects. A strong linear relationship existed between P. gingivalis, T. forsythia and T. denticola. Conclusions: The procedure used in the study is simple, rapid and can be easily adaptable. It also has a high sensitivity and has the ability to detect a single bacterial cell. The method can be directly applied to the clinical samples and can be used as a rapid diagnostic tool in periodontics.
REVIEW OF LUNG NODULES IDENTIFICATION RULES EXTRACTION WITH NEURAL FUZZY NETWORK

Image processing is widely used in various medical areas to perform image improvement in detection and treatment at early stages of diseases, particularly in several cancers and tumors such as breast cancer, lung cancer, etc. The image segmentation sometimes generates wrong outcomes that result in false detection of probable cancerous sections from the background images . Lung cancer is one of most severe and widespread cancer in the world. Therefore, the early detection and treatment of lung cancer are important to avoid advanced stages of cancer and death. This paper focuses on the methods and techniques used by other authors for Image segmentation of different types of images. This paper introduces the concept of Image processing and its various techniques, from which Image segmentation is used to segment the images in order identify the patterns from the images
Hybrid Non-Blind Color Image Watermarking

Digital multimedia content has progressively becoming an important issue because image watermarking is identified as a foremost technology used in copyright protection. The main requirement for image watermarking is its imperceptibility and robustness. To achieve these requirements, a new approach for image watermarking based on singular value decomposition (SVD) and discrete wavelet transform (DWT) is proposed in this paper. Modification of the appropriate sub-bands leads to a watermarking scheme which positively preserves the quality. The additional advantage of the proposed technique is security, imperceptability and its robustness against the most of common attacks. In this method, the singular values of DWT coefficients of B-plane are modified using different scaling factors to insert the singular values of watermark. The singular values of R, G, B planes of watermark are embedded into the three sub-bands LH, HL, HH of B-plane in host image. The proposed watermarking is realized by using MATLAB and evaluated by using performance metrics MSE, PSNR.
An improved image denoising method based on Gradient Histogram Preservation

— Digital Image Processing is an evergreen problem of computational scientists. Among, noise reduction and preservation of finer features of image is fundamental. Wide variety of applications starting from digital photography to medical image processing makes image denoising a key problem. Large number of method has been published so far in the journals and the effort to develop a sophisticated method is continuing. Digital Image Processing has broad spectrum of applications ranging from radars, medical images to the digital photographs of day to day life. The present study aims to develop an improved denoising method based on Gradient Histogram Estimation and preservation. The method gives better results for the Gaussian Noise. The noise level of input image is estimated and then denoised by using the improved method. The Edge enhancement and denosing by preserving gradient histogram gives better accuracy than the existing method.
Multimodality Fusion Based On Local Binary Pattern(LBP) For Image Retrieval

: Images are being used since many years in all spheres including Forces, Treatment of injuries and diseases etc. But in the past few years, number of images has increased in huge amount due to the growth of web database. So, in vast and varied collection, users of different domains face a problem of retrieving images relevant to the user query. The semantic association rules mining is constructed at the offline phase where the association rules are discovered between the text semantic clusters and the visual clusters of the images to use it later at the offline phase. Multimodal will refer to the ability to represent, process and analyze two data modalities simultaneously textual keywords or unstructured images.
VIRTUAL ASSISTANT FOR DEAF AND DUMB

For the Deaf and Dumb community, the use of Information and Communication Technology has increased the ease of life for them. Deaf and dumb people communicate with help of sign language to pass their messages to each other. In this way, they can’t express their ideas the exact way, they want. The paper illustrates implementation of STT and TTS technique for deaf and dumb people to make them communicate better. In this paper, we have compared elaborated research work done in the same field which may be helpful in identifying the drawbacks as well as methods to improvise the present technology. This paper presents a detailed methodology used in numerous research work and advancements for the deaf and dumb community.
Secure Personalize Web Search

: As the scope of the Internet keeps developing the clients of solicitation suppliers consistently request list things that are exact to their essentials. Revamped Search is one of the choices open to clients fit as a fiddle question things came back to them in context of their own information accommodated the solicitation supplier. This raises anxieties of security issues however as clients are customarily uncomfortable uncovering singular data to a reliably faceless association supplier on the Internet. This paper hopes to manage the protection issues encompassing changed search for and examines ways that security can be upgraded so clients can wind up being more OK with the arrival of their own information recalling the completed target to get more correct inquiry things. Adjusted web look (PWS) has demonstrated its adequacy in redesigning the method for different solicitation associations on the Internet. Regardless, shows display that clients' antipathy for unveil their private data amidst solicitation has changed into a basic breaking point for the wide augmentation of PWS. We consider security insurance in PWS applications that model client inclines as various leveled client profiles. We propose a PWS structure called UPS that can adaptively entire up profiles by request while concerning client chose security necessities.
Treatment of ureteral tunnel in laparoscopy radical hysterectomy

We introduce an approach for making a ureteral tunnel with the aim of illustrating the importance of finding the tunnel dissection of the tissue spaces. The key to radical hysterectomy is identifying the tissue space that naturally exists between tissues rather than clamping a manual tunnel. For example, the urogenital sinus and Mullerian duct are very near each other; however, they never completely merge together. The method for finding the tunnel and avoiding the manual clamping of tunnels will maximally reduce intraoperative bleeding. Furthermore, the instructional significance of the surgery makes this technique worthy of promotion. Its main aspects include finding the gap, reducing or eliminating tunnel bleeding, and reducing collateral damage.
Feature Extraction of Opinion Mining Using Ontology

in the Web Ontology Language (OWL). OWL is a stable specification developed by the Web Ontology Working Group. It is considered a Web standard for industry and academy. Ontology can reflect the nature of the objective things and its external performance and Abstract: The growth in the web sites and the online businesses induces the need for a better opinion derivation system. To avoid the subjective or biased human opinions, it is always better to have an automatic opinion mining technique. Such techniques are expected to extract the various kinds of value added information from the user’s opinion. Among the various opinion mining techniques available, the ontology based opinion mining has a significant contribution to the field. Most of the ontology based opinion mining system uses static ontologies for feature identification. Though there exists few systems using dynamic ontology, none seems to utilize the complete potential. The proposed system discusses a novel approach to dynamically build and update the ontology, based on the domain to which the input reviews belong to. The process of feature identification is the core part, which greatly impacts the effectiveness of the opinion mining system. Thus the above proposed methodology which is believed to be better in the feature identification process utilizing the maximum potential of dynamic ontologies helps in improving the effectiveness of the system.
Resolving Hamiltonian Path Problems, Travelling Salesman Problems, Euclidean Problems and Route Problems with Inchrosil

— One of hard mathematical problems to find a solution, it is the Hamiltonian path or the salesman problem, because when number of nodes (cities) is increasing, any system needs more time to resolve, being considered this mathematical challenge as non-polynomial complete problem (NP-complete or NP-Hard). On the other hand, lot problems can reduce to graph form, being very easy to use any Hamiltonian graph to solve them, by this reason, it is an open problem to find some technology can resolve any Hamiltonian path in approximately polynomial time (P≈NP). In this article, we can show one system, which uses Inchrosil as storage unit of nucleotides, to solve any Hamiltonian path in approximately polynomial time, by this reason, we have based in our research in all knowledge about DNA computing and mathematical equations using DNA (in particular their four characters and their association rules) to create a system can solve any Hamiltonian Graph, using Inchrosil circuits.
Impact of Sectoral Indices’ Fluctuation on SENSEX.

In the last few years performances of Indian exchanges are satisfactory. Last 5-6 years witnessed a massive growth in SENSEX and NIFTY. But a growth in stock indices may not provide profit to the investors unless and until they read it much before. Nobody knows when the Black swan kind of situation comes. In this backdrop, an attempt is made to analyze the correlation among all the sectors of BSE and performances of all these sectors, which may help the investors and portfolio managers to construct the portfolio by selecting the right kind of sectors. This analysis is going to exhibit risk (standard deviation and Beta) associated with all sectors and the correlation among them. Objective of the study: The main objective of the study is to find the performance of the indices and correlation among them, so that it will be an aid to the investors for selecting appropriate sectors to be involved in a particular portfolio. Research Methodology: The data collected for the analysis is from secondary sources. Kumar D. B. , Sophia S,and Jucunda E. M. Suggested that there is a significant relationship of stock market with lok sabha election and from the last five years after formation of new Govt. in India, the indices like NIFTY and SENSEX are in an upward trend. So data collected for last five years. Sharpe and and Treynor ratio are used to calculate the performance of all the sectors. To get the correlation among the indices Pearson’s correlation is used. Findings: Most of the existing researches explained the relationship among different indices by selecting some of the indices. So this study got the fuel to involve the most active 7 indices to correlate with the oldest index of Asia. Pearson’s Correlation is one of the most trusted tool used by current researchers. Limitations of the Study: The data used in this study is of five years and to get the correlation Pearson correlation is used
Flood Attacks Control in Optical Burst Networks by Inducing Rules using Data Mining

Summary One of the key security challenges facing Optical Burst Switching (OBS) network that may influence its resource utilization performance, is flooding Burst Header Packets (BHPs). This problem is usually caused by edge nodes transmitting harmful BHPs that unnecessarily hold network resources causing the network to slowdown or in some cases deny the service. One emerging technology that may reduce this problem is the use of automated classification systems. These systems are based on data mining and are able to automatically label misbehaving nodes that send malicious BHPs before these BHPs impact network resources. This learning technology will not only save time and effort but also increase the accuracy of classification processes. In this paper, we investigate the applicability of rule induction nodes on the hard problem of BHP classification within OBS networks. Specifically, we propose a data mining model that adopts rule induction as a learning strategy to build classifiers that reduce flooding attacks by detecting misbehaving edge nodes early on. Empirical analysis using a recently published dataset reveals that data mining approaches generate promising results with respect to error rate. More importantly, the rule induction approach can detect nodes that are potentially transmitting malicious BHPs more accurately than other approaches such as those that are statistical and probability based.
A STUDY ON SELECTION OF LOCATION BY RETAIL CHAIN: BIG MART

Abstract This paper provides insight into the site-selection process that may have influenced the selection of location by retail chain store; Big Mart. The changing shopping habits and the birth of chain stores in and around Kathmandu and proceeds with the discussion on some of the models that have been used around the world. Selecting proper location for competitive advantages is a big choice for being the leader by co-creating customer and seller ecosystem. For this research, however, we have used the Analytical Hierarchy Process (AHP) and we will be delving more in detail with this method to understand the site selection method for our case area.
QUANTITATIVE ANALYSIS AND IN VITRO FREE RADICAL SCAVENGING ACTIVITY OF CAYRATIA TRIFOLIA (L.)

Cellular damage caused by reactive oxygen species has been implicated in several diseases and hence antioxidants have significant importance in human health. The present study was to evaluate the quantitative analysis and in vitro free radical scavenging activity of stem ethanolic extract of Cayratia trifolia. The content of total phenols, tannins, saponins, flavonoids, alkaloids analyzed. Free radical activity was assayed using 1,1-diphenyl-2-picryl hydroxyl (DPPH), 2,2’ azinobis-3 ethylbenzothiozoline-6 sulfonic acid (ABTS+) cation decolourization test, hydroxyl radical (OH.), hydrogen peroxide assay (H2O2), nitric oxide radical inhibition activity (NO), superoxide radical, metal chelating assay, ferric reducing antioxidant power assay (FRAP), reducing power activity using established assay procedure. The ethanolic extract of Cayratia trifolia exhibited major content of secondary metabolites present in the stem extract. The antioxidant activity of the extract was compared with standard ascorbic acid. In conclusion, the results presented in the stem of Cayratia trifolia have a strong antioxidant property against free radicals and it may serve as a good pharmacological property.
Effect of Exogenous Stem Cells versus Mobilization of Endogenous Stem Cells on the Nonalcoholic Fatty Liver of Adult Male Albino Rat (Histological and Immunohistochemical Study)

Introduction: Nonalcoholic fatty liver diseases are currently the most common chronic liver disease. Mesenchymal stem cells have been approved for their hepatoprotective effect and as a substitute for liver transplantation. Stem Enhance (SE) is a hematopoietic stem cell mobilizer which has antioxidant and cholesterolregulatory effects. Material and methods: Sixty adult male albino rats were used. Ten rats were used for preparation of stem cells. For ten weeks, fifty rats were divided into control and experimental groups. Group-I (Control) was twenty rats divided into two equal subgroups: Ia (negative control) and Ib (SE control). Group-II (Experimental) was thirty rats received high fatty diet (HFD) and after six weeks they subdivided into three equal subgroups: IIa (HFD with no treatment), IIb (SE treated) and IIc (BM-MSCs treated). Body weight, liver enzymes and serum lipids were measured. Liver specimens were stained using different histological and immunohistochemical techniques. Results: Subgroup IIa showed enlarged yellowish liver with disturbed architecture, marked steatosis, inflammatory cells and fibrosis with highly significant increase in the mean level of serum lipids and liver enzymes. Subgroup IIb showed moderate restoration of hepatic architecture with mild distribution of steatosis and fibrosis was decreased. Subgroup IIc revealed restored normal hepatic architecture with mild steatosis and markedly diminished fibrosis. Liver enzymes and serum lipids were decreased in subgroups IIb and IIc at different degrees. Conclusion: It could be concluded that exogenous bone marrow derived stem cell transplantation presents a better therapeutic approach for the nonalcoholic fatty liver diseases as compared to mobilization of endogenous stem cells using Stem Enhance. [Asmaa Azzam, Emad S. Mishriki, Aml Abo Elala and Fotna Eskander. Effect of Exogenous Stem Cells versus Mobilization of Endogenous Stem Cells on the Nonalcoholic Fatty Liver of Adult Male Albino Rat (Histological and Immunohistochemical Study). J Am Sci 2019;15(12):122-138]. ISSN 1545-1003 (print); ISSN 2375-7264 (online). http://www.jofamericanscience. org. 14. doi:10.7537/marsjas151219.14.
An Adaptive Sigma Point Filter for Nonlinear Filtering Problems

In this paper a new Adaptive Unscented Kalman Filter (AUKF) is proposed and applied for the state estimation of a LEO (Low earth Orbit) satellite planar model. The Unscented Kalman Filter (UKF) is preferred here because of its derivative free calculation process and superior performance in highly non linear systems. Further the choice of adaptive filter gives the opportunity to estimate the states without any prior knowledge about the noise covariances. The measurement noise covariance (R) is changed here adaptively. Previously R adaptation techniques have been employed for linear and Extended Kalman Filters (EKF) but the use of R adaptation for sigma point filter is relatively newer trend. Two versions of R-adaptive UKF are presented here depending on the residual sequences and the innovation sequences. Positive definiteness of R is ensured in the proposed algorithm. The R matrix here has been constrained to have a diagonal structure as the measurement noise sources are normally independent of each other. Proposed scheme has also the provision to modulate the speed of adaptation. The simulation results show the superiority of the AUKF compared to the non-adaptive filters like EKF, UKF and CDF (Central Difference Filter). It is also found that the steady state performance of the residual based adaptive filter is robust to the initial value of R.
Analysis of Sandwich Composites Using Anova Approach

Sandwich construction finds its widespread application in the field of aerospace and consumer domain. Several types of core materials are used in the manufacture of sandwich composites. This paper provides an overview of the effect of foam core thickness and density of sandwich structure subjected to flatwise and edgewise compression followed by flexural test on PU foam based core material. Further ANOVA approach is used to determine the response surface methodology (RSM) of the specimen tested. Central composite design was adopted to study the RSM. The sandwich structure chosen here is made up of glass epoxy type and different density of 80kg/m, 120kg/m and 160kg/m was chosen to study the mechanical properties.
Survey on Efficient Reliable One Hop Broadcast in Mobile Adhoc Networks

Among Many fundamental communication primitives in mobile ad hoc networks, 1-hop broadcast plays an significant role in which a message from the source node is delivered to all nodes within the source node’s transmission range. Although the importance of it, 1-hop broadcast is not easy to accomplish due to collisions in wireless networks known as Hidden Terminal problem. This paper presents a MAC protocol that guarantees 1-hop broadcast with efficiency by allowing as many simultaneous executions of the communication as possible without collisions. The proposed algorithm utilizes control packets that prevent data packet collisions, and at the same time, make the simultaneous communications possible to improve the network throughput.
PERCEIVED SERVICE QUALITY AND CUSTOMER LOYALTY IN RETAIL BANKING IN KENYA

The main aim of this study is to examine the effect of service quality dimensions on customer loyalty to the providers of retail bank ing services. It investigates the relationship between service quality dimensions and customer loy alty. To achieve this purpose, data was collected from a sample of 384 current customers of commercial banks on the five dimensions of service delivery: tangibility, reliability, respons iveness, assurance and empathy. The results indicate that all the dimensions of service quality have a positive and significant influence on customer loyalty in retail banking . This finding re inforces the need for bank managers to place an emphasis on the underlying dimensions of service quality in order to create and maintain
A HYBRID FUZZY CONTROLLER FOR NAVIGATION OF REAL MOBILE ROBOT

: The proposed control mechanism makes mobile robot enable to navigate safely, avoiding structured and unstructured obstacles, in a crowded real world, especially, unpredictably changing environment. Fuzzy logic controllers (FLC), a hybrid of different membership functions are developed and used to navigate mobile robot. The inputs to the proposed fuzzy rule based controller of sub-modules consist of left, right, and front obstacle distance to its locations and target angle between a robot and a specified target being acquired by an array of sensors. Outputs correspond to the orientation and speed of wheels of the mobile robot. This paper analyzes the hardware modeling and kinematic behavior of mobile robot as well as the design of controller for the autonomous motion of the robot. Action coordination of the robotic behaviors such as following a wall, avoiding an obstacle and running towards goal, have been addressed using proposed fuzzy technique which is found to be efficient and optimized for navigation purpose. Simulation Results are presented to demonstrate the performance of the proposed approach.