Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved DDoS Attacks Detection using Hybrid Statistical Model and Sparse Representation for Cloud Computing

While hosting various cloud based information technology facilities by handling various assets on the internet, Cloud service accessibility has remained one of the chief concerns of cloud service providers (CSP). Several security concerns associated to cloud computing service simulations, and cloud’s major qualities contribute towards its susceptibility of security threats related with cloud service availability, the liability of internet, and the dispense behavior of cloud computing. Distributed Denial of Service (DDoS) attacks is one of the main advanced threats that occur to be extremely problematic and stimulating to stand owing towards its dispersed behavior and resulted in cloud service interruption. Although there exist amount of interruption recognition resolutions anticipated by various investigation groups, there exists not at all such a faultless result that avoids the DDoS attack and cloud service providers (CSP) are presently consuming various detection resolutions by assuring that their product stays well protected. The features of DDoS attack consuming various forms with dissimilar scenarios make it problematic to identify. Inspecting and analyzing various surviving DDoS detecting methods contrary to several factors is accomplished by this paper. To enhance the system performance further, sparse based data optimization is proposed to remove the redundant data. This enhancement reduced the execution time of the system by0.2%.
High Throughput Detections

Mycotoxins are toxic low-molecular-weight compounds which produced by the metabolism of certain fungi species. Due to their toxicity, chemistry stability, diversity and co-occurrence in agriculture products, it is urgently needed to develop the rapid, simple and effective detection technique methods to monitor and prevent mycotoxin contamination in whole food chain. This article gives a review about high throughput detection methods for multiplex mycotoxins which mainly includes chromatographic instrument techniques, microarray chip, suspension array, lateral flow biosensors, surface plasmon resonance (SPR) and nanoparticle-based biosensors. The advantages and disadvantages and the key steps of them have been discussed. The insight and evaluation of the technique progress were given, which would be helpful to further develop this filed.
A Novel Approach utilizing Permutation Polynomials over integer rings as a Cryptological Application for Effective Encryption of Digital Images

— Internet Technology and its constant evolvement gives humans an opportunity to be an active explorer over social media and micro blogging sites. Due to which people have resorted to a route of Internet with images, a tempting platform which is hard avoid. This theme gained an overwhelming response as a communication medium for the obvious reason that people nowadays like to share or express their thoughts through images. Unlike text, images helps to annotate viewers' flow of emotions much conveniently with depth. But people relying more on power imagery to share information over unreliable channel, well-known as Internet invites exploitation and misapplication of confidential data which should be avoided. Considering the importance of the issue raised in the light of protecting images, encryption is a way to assure security. Image encryption techniques converts an original image to illegible form, so only authorized access is possible with a key. Over years, different image encryption schemes had been put forward with various issues being addressed according to the requirement of applications. In this paper, we proposed a novel image encryption algorithm based on permutation polynomials over integer rings which makes an attempt to overcome the limitations of existing methods. Here, the original image is scrambled by applying permutation polynomial to its rows and columns. Eventually, the experimental results and calculating the evaluation parameters using MATLAB shows that the proposed encryption scheme achieve satisfactory hiding aspect. Also, the comparison with respect to existing ones is made to analyze performance of the proposed technique.
SEASONAL EFFECT ON IN VITRO ALPHA AMYLASE INHIBITORY ACTIVITY OF MURRYA KOENIGII LEAVES

Pharmacological activities of medicinal plants vary with season. Murrya koenigii Linn. Spreng Wettst (M. koenigii L.) is a medicinal plant being used in traditional medicine since long. Recently we have confirmed in vitro alpha amylase inhibitory activity of M. koenigii L. leaves. Aim of the present work was to see the seasonal effect on in vitro alpha amylase inhibitory activity of M. koenigii L. leaves, if any. Leaves of M. koenigii L. were collected in winter, summer, autumn and rainy seasons from the local market and authenticated by the taxonomist. Leaves were extracted with ethanol and the extract was checked for in vitro alpha amylase inhibitory activity by the standard method. Acarbose, a standard alpha amylase inhibitor, was used as control. Results showed that M. koenigii L. leaves of rainy season (June – August) had maximum alpha amylase inhibitory activity. Result was comparable to that of acarbose. Leaves of M. koenigii L. of rainy season may therefore be utilized to keep post prandial blood sugar of the diabetic patient under control and thereby used in the treatment of diabetes.
CYTOTOXIC EFFECT OF CAMELLIA SINENSIS ON THE NORMAL MYELOID AND CANCER CELLS OF PATIENTS WITH CHRONIC MYELOGENOUS LEUKEMIA

Objective: The present study was designed to determine in vitro the cytotoxic effect of green tea on the normal and leukemic myeloidstem cells of patients with chronic myelogenous leukemia. Methods: the serial dilution of aqueous green tea extraction in the concentrations (250, 125, 62.5, 31.25, 15.625,7.8125 μg/ml ) were added to the cells culture. Using MTT assay. Results: the results show the cytotoxic effect (inhibition rate of growth) of green tea (viable cell count was 52x10 5 ) was in dose and time dependent. There were significant differences (P≤0.05) between concentrations and time. The highest inhibition rate on the leukemic cells was 71.283% in concentration 250μg/ml and the lowest was 38.370% in concentration 7.8125 μg/ml for exposure time 72hr While the highest inhibition rate on the normal myeloid cells was 35.772% inconcentration 250μg/ml and the lowest was 11.016% in concentration 7.8125 μg/ml for exposure time 72hr. Conclusions: Green tea showed high effect on the leukemic cells and less effect on the normal myeloid cells culture.
Road Condition Detection Using Arduino Based Sensing Module And Android Smartphone

: The project aims to produce a Road Condition Detection Device (RCDD). The main components of the project are the arduino module and the Android smartphone. The arduino will be used as a sensing module and the smartphone will be user interface. The road conditions will be evaluated in real time using the arduino and the data collected by it will be sent to the android smartphone using the bluetooth module. The collected data will be used by the android application to and the relative condition of the road and the abnormal road condition will be marked on the Google Maps using GPS of the smartphone. So, the road condition will be known to the driver and they can change their driving behaviors for improving the safety of the people, comfort and efficiency. The amount of accidents which are caused by the bad road condition will be lowered
Selected determinants of strategies to cope with the disease among women treated for gynecological cancer

Abstract Introduction. The cancer of the reproductive organ, due to its specificity, is an extremely difficult situation for a woman. Aim. The aim of the study was to answer the question what are the determinants of strategies to cope with the disease among women treated for cancer of the reproductive organ. Material and methods. The study included 102 women treated for gynecological cancer. To assess coping strategies with disease, denoting adaptation to cancer, a Mini-Mac standardized scale of the Mental Adjustment to Cancer Diseases and the own construction questionnaire were used. Statistical analysis was performed using Chi2 test, Mann-Whitney U test, W. Shapiro-Wilk, Kruskal-Wallis tests. Results. Research shows that most respondents coped with the disease using the strategy: the fighting spirit (FS), and positive reevaluation (PR), but to a lesser degree they applied preoccupation with anxiety (PwA) and helplessness – hopelessness strategy (HH). Conclusions. 1. Most of the women fighting against cancer used constructive strategies, while the remaining part – the destructive ones. Choosing the type is determined by factors like the duration of the disease, the incidence of complications during treatment, subjective evaluation of how to improve the health status and satisfaction with treatment or length of hospital stay. 2. Strategies of mental adaptation significantly affect the course of treatment. The use of absorbing anxiety causes significantly more women not to feel the improvement of health and hospitalization for them is a traumatic experience. In contrast, a form of helplessness – hopelessness is associated with low satisfaction with treatment, and lack of improvement in subjective health. People who use fighting spirit were significantly more satisfied with the results of treatment.
A Study of Post Implementation Problems in an Educational Enterprise Resource Planning (e_ERP) System.

: Enterprise resource Planning (ERP) systems are becoming popular among institute of higher education. This paper is oriented to the afterwards of the problems faced by the management and their support staff and students in respect of the issues related to the successful implementation of the e_ERP software in the sector of the higher education. This research paper goes on to define the relationship between the different variables of the e_ERP system. The management has confronted with the problems faced by the staff and students in the software without which it would be difficult to imagine the integrated management of an enterprise as a whole, including its coverage of admission, examination, library and administration. The findings are based on a questionnaire survey performed among the various higher education institute (HEI). This paper summarises the data gathered for the investigation of the problems faced by the stakeholders.
Distributed Data Anonymization with Hiding Sensitive Node Labels

— Recently, people share their information via social platforms such as Face book and Twitter in their daily life. Social networks on the Internet can be regarded as a microcosm of the real world and worth being analyzed. Since the data in social networks can be private and sensitive, privacy preservation in social networks has been a focused study. Previous works develop anonymization methods for a single social network represented by a single graph, which are not enough for the analysis on the evolution of the social network. In this paper I implement the data anonymization protection model in a distributed environment, where different publishers publish their data independently and their data are overlapping. And also this work will extend to individual identifications which use nodes edge label information in graphs. The problem is defined as PSNM k-Anonymity (Protecting Sensitive Nodes Model). I conduct extensive experiments to evaluate the effectiveness of the proposed technique.
Analysis of Medical Image Segmentation Techniques

Medical images have made a great inﬂuence on medicine, diagnosis, and treatment. The most important part of image processing is image segmentation. This helps in the selection of Region of interest(ROI) of various medical images, which helps in further processing of the medical image. In this paper, ﬁrst of all, Medical Image processing is discussed brieﬂy. Then, various Start of the Art methods used for medical image segmentation have been discussed. The comparative study of various image segmentation techniques have been displayed in tabular format. Besides this, some algorithms are tested with Mammogram images and the snapshots of the results are displayed.
Expression of Oncofoetal Marker Carcino Embryonic Antigen in Oral Squamous Cell Carcinoma

Objective: Expression of the oncofoetal glycoprotein, carcinoembryonic antigen (CEA), has been extensively studied, particularly regarding its potential role as a marker of early cancer and as a prognostic indicator. CEA has been the hallmark of many neoplasms and has been observed in several malignancies and is also being pursued as a target for anticancer therapy. This study explored the status of this biochemical entity in the oral squamous cell carcinoma (SCC). Method: The data analyzed in the current study relate to a total of 100 patients. Out of which 25 were in the control group and 75 were Patients presenting with stage I or Stage II tumors of the oral cavity. This study was conducted in MSRDC University Hospital in the Department of Oral & Maxillofacial Surgery and its associated satellite centers during Jan 2012 to June 2016. Only patients diagnosed with primary OSCC, previously untreated, presenting with tumours of oral cavity were included in the study. All samples were studied immunohistochemically. Result: The results showed that all samples in control group had negative CEA expression and CEA was expressed at an elevated level (60 out of 75 samples ie 80%) in majority of grade I and the grade II SCC. Conclusion: In Conclusion, Expression of CEA in elevated levels were noticed in majority of grade I and grade II OSCC. If the results from this study can be validated with a larger sample size, a role can be attributed to this tumour marker in oral neoplasia.
Proximate Composition and Vitamin Levels of Seven Medicinal Plants

The curative effects of some plants for curing various human diseases could be as a result of the presence of bioactive constituents in them. The proximate composition and vitamin level of dried leaves of Bambusa vulgaris, Euphorbia hirta, Lawsonia inarmic, Mimosa pudica, Bidens pilosa, Croton zambesicus and Persia americana used in the management and treatment of various human diseases were studied. Mimosa pudica and Euphorbia hirta had the highest moisture content (9.70%), Bidens pilosa was found to be more proteinous than the others (13.8%), Mimosa pudica and Lawsonia inarmic had the highest fat level (1.40%), Bambusa vulgaris had the highest percentage ash (3.10%); all the plants had high carbohydrate value with Persia americana having the highest value. Ascorbic acid was found to be very high in Bambusa vulgaris (26.1%), Persia americana showed thiamin level of 0.70 mg/100g, riboflavin was very high in Croton zambesicus (1.50mg/100g). Pearson correlation revealed significant correlation. These antioxidants property of plants can help prevent damage that is associated with cancer, heart disease and other related human diseases. In rural areas where access to modern health facilities is limited by the level of development, plants/herbs remain the main stay of the health care system.
TEXTURE FEATURE BASED ANALYSIS OF BRAIN CT IMAGES FOR DISCRIMINATING BENIGN, MALIGNANT TUMORS

: A computer software system is designed for the automatic discrimination of benign tumor from malignant tumor in brain CT examinations. Image analysis methods were applied to the images of 40 benign images and 40 malignant images. Textural features extracted from the gray level co-occurrence matrix of the tumor images and back propagation neural network classifier were employed for the design of the system. Best classification accuracy was achieved by four textural features and two hidden layers and 6 hidden nodes of the classifier. The proposed system provides new textural information and differentiating benign tumor from malignant tumor, especially in small tumor regions of CT images efficiently and accurately with lesser computational time.
Indoor Way Finder Navigation System Using Smartphone

----- Indoor way finding has recently gained high interest as one of the potential smartphone applications which helps people to find their destination especially in the big complicated buildings. Outdoor navigation systems use GPS to guide the users to their destination. However, in indoor navigation, the GPS is not effective and accurate solution due to signal blocking inside the buildings. Many indoor navigation systems use various infrastructures; such as Wi-Fi fingerprint, smartphone sensors only, NFC or extra hardware to construct the system. Also, most of the indoor navigation systems present, at user smartphone, the real floor plan for navigation purposes. Actually, users are not familiar and cannot interact visually with such plan; also extra time is required for processing and scaling the real map on the smartphone screen in conjunction with user moving steps. In this work, an indoor way finder navigation system using building existing Wi-Fi WLAN infrastructure with smartphone accelerometer sensor is constructed. Also, instead of using real building map, the proposed system suggested and implemented an idea to mimic real building map that reflects and supports augmented reality of the building, by displaying images of real user location path while navigating to the destination. It also provides a friendly and easy user interface by displaying navigation information as a real environment images associated with directional arrow, speech and texts during the navigation process to show the route to the desired location inside the building.
Density Functional Theory Investigation for H2-Silver Interactions

Density functional theory has been carried out for H2 molecule, Agn and AgnH2 nanoclusters, (n=4, 5, 6, 7). Optimization plus frequency, B3LYP, 3-21G basis sets has been investigated at the ground state level. Point group symmetry determined for H2 molecule, Agn and AgnH2 nanoclusters. Binding energy has been computed for AgnH2 nanoclusters, Ag7H2 nanocluster has lower binding energy (0.0329 eV) and this point out that Ag7H2 nanocluster is more binding than the other AgnH2 nanoclusters . Hardness and Softness has been calculated for H2 molecule, Agn and AgnH2 nanoclusters. Hardness Softness Acid Base (HSAB principle) has been applied to know behaviour of H2 molecule, Agn and AgnH2 nanoclusters. Electronegativity and electrophilicity have been computed for H2 molecule, Agn and AgnH2 nanoclusters. Dipole moment has been evaluated for H2 molecule, Agn and AgnH2 nanoclusters. Also average polarizability has been calculated for H2 molecule, Agn and AgnH2 nanoclusters. Finally density of state (DOS) has been investigated for Agn and AgnH2 nanoclusters, Ag5 posses DOS raises as compared with other pure silver nanoclusters, but Ag5H2 has DOS rises as compared with all other nanoclusters. All calculations have been investigated by using Gaussian 09 software package.
ADAPTIVE SEMI SUPERVISED LEARNING FOR TIME STREAMING DATA

— This paper depicts an online here and now voltage stability appraisal conspire from a general perspective of the heap region in the power framework. In this plan, information acquisitions are completed by post-possibility phasor estimations and a period series shapelet grouping strategy is utilized for order learning. Joined with choice trees, this novel approach can hold a superior of order as well as offer an adequate translation of arrangement results. An enhanced algorithm to accelerate shapelet seeking is proposed, which makes it more handy. Semi-administered bunch learning is additionally received in this plan to relieve the inconsistency of the past reasonable criteria. The test comes about on the Nordic test framework show the adequacy and unwavering quality of the proposed plot.
Efficacy of Essential Oils for Eucalyptus Camaldulensis and Artemisia Herba Alba as Potential Natural Fumigant against Khapra Beetle Trogoderma Granarium E. (Coleoptera Dermestidae)

The present study examines the efficacy of essential oils of Eucalyptus camaldulensis and Artemisia herba alba. As fumigant toxicity against larvae of third instar and adults of Trogoderma granarium at 10, 20, 30, 40, 50, 60 μl/160cm3 for different exposure times 12, 24, 48h. The mortality rate for third larvae during the exposure period was 12h, 76.1% and 68.3%, in the second period of 24h, the mortality rate was 14.99% and 16.6%, while third exposure time was 0.55% and 1.1% for essential oils of Eucalyptus and Artemisia respectively. The percentage of killing increase as the concentration increased and decreased as the duration of exposure increased. Duration of the first exposure increased and the mortality rates were high compared with second and third periods with highest concentration killing rate of 50, 60 μl/160cm3 for essential oils of Eucalyptus. Adult of the insect during the exposure period 12h mortality reached 91.1% and 86.1%, while the second period of exposure 24h, the mortality rate was 6.6%, and third exposure time of 48h was the lowest reaching 2.2% and 7.2% for Eucalyptus and Artemisia respectively. Duration of the first exposure increased and the mortality rates were high compared with second and third periods with highest concentration mortality rate of 40, 50, 60 μl/160cm3 for essential oils of Eucalyptus and Artemisia. Generally, adult mortality rates were higher than larvae for the same duration of exposure. This indicates the possibility of using essential oil for both E. camaldulensis and A. herba alba in the applied field for the management of the pest population in the stores. KeywordsKhapra Beetle Trogoderma Granarium, Essential Oils
Result Analysis of Existing Cloud Security Models

- Most of the safety solutions use routers, firewalls, and intrusion detection systems enforced to tightly manage, access to networks from outside attackers. In the field of data technology, cloud computing is the most mentioned topic these days. A new Internet-based setting for on-demand, dynamic provision of reconfigurable computing resources has been introduced by cloud computing. Security and privacy problems caused by multi-tenancy nature of cloud computing and the outsourcing of infrastructure, sensitive information and demanding applications remain the biggest challenge. In this work a Chaotic Searchable data Encryption and Decryption algorithm has been proposed for securing data in cloud server. In the proposed system there are three parts-input part, registration part and verification part.
A Dilemma for Blastocystis: Asymptomatic or Symptomatic Infection in Humans

Blastocystis presents a great challenge to parasitologists and clinicians to determine whether it is truly an enteropathogen or not and treatment is required if it is observed in symptomatic patients, because even without any treatment patient recovery and improvement has been noted. Blastocystis hominis is the most common protozoan parasite found in patients with gastrointestinal symptoms and also in healthy individuals. Communities with poor hygiene, lack of safe water supply and proper sewage system show a higher prevalence. Although its distribution was almost equal in a study; 53.6% asymptomatic and 46.4% symptomatic, but in a different study from Turkey, 70.2% of patients were found symptomatic. According to some reports, in children Blastocystis infection should be considered as a prominent causative agent of gastrointestinal disturbances. B. hominis has been established as a probable causal agent in patients of Irritable Bowel syndrome. Several issues about this parasite such as the clinical relevance, pathogenicity and the need for treatment are much debated and still unresolved. Metronidazole appears to be the most effective drug for treatment of Blastocystis infections despite some evidence for treatment failure. In such circumstances, nitazoxanide and TMP-SMX may be considered as second choice of drugs.