Miracle-dz/UniFAR-FTUs huggingface dataset:
An Etiquette Approach for Public Audit and Preserve Data at Cloud

— The purpose of Cloud Computing is a long dreamed vision of computing as a utility, where user want to store their data remotely into the cloud and so as to enjoy the on demand of high quality application and services for the shared pool of configurable computing storage of outsourcing data so users can be relieved from the burden about local storage and maintenance of data. However, in general the users have no longer physical possession of large size of outsourcing data makes data integrity protection in Clouding and a very challenging , potentially formidable task, this is for users especially with constrained resources and capabilities of cloud computing. And to enabling public availability of cloud stored data for security of critical importance of users and they can resort to an external third party to check the integrity of user outsourced data when user needed. To securely introduce an effective third party auditor (TPA), the following of two main requirements have to met:
Robust face detection and person recognition using gabor texture and multi block LBP features.

— By means of increasing security concerns, surveillance cameras are have an important role in the society and face recognition in mass is gaining more importance than ever.To identify people in unconstrained video, one has to come across at the identity information in multiple frames and the additional dynamic signature. These identity cues including face, body, and motion. The proposed project approach is based on video-data base due to the huge application available for large intra person variation in video and limited information content in still images. Video-data base is to completely encode temporal, pose, and lighting information. In order to make a fully automated system that analyzes the information in face images, there is a need for robust and efficient face detection algorithms. The proposed work is divided into two phases, i.e. Training and testing. In training phase, preprocess the extracted frames which include resize and color conversion. These extracted features are stored in a database. In testing phase, by taking input video and extract the frames followed by preprocessing. For face part detection, from the extracted frame using adaboost approach and extract the features from the detected image. These features are stored using Support Vector Machine (SVM). Finally recognize the person using stored features. The proposed work deals with video based face recognition and person identification, using adaboost technology to extract feature of the person and identification. Also adapting a gabor coefficient filter to get effective results.
SUPER-RESOLUTION BASED IMAGE WITH VIDEO INPAINTING

Image has become an important part of our life. The image inpainting is a technique of removing the unwanted part of image without disturbing its overall structure. The inpainting of the low resolution images are simpler than that of the high resolution images. In this system low resolution image is kept under different super resolution image inpainting methodologies and then results of all these methodologies are combined to form the highly inpainted image. For this reason our system uses the super resolution algorithm which is responsible for inpainting of single image
Salivary Diagnosis of Oral Pre-Neoplastic and Oral Squamous Cell Carcinoma in Etiologically Distinct Population of Pakistan

Objective: To evaluate salivary detection of HPV-16 & 18 and interleukin 6 & 8 could serve as informative biomarker for Oral Pre-neoplastic Lesions (PNL) and oral Squamous cell Carcinoma (OSCC) in our population. Study Design: Non-interventional, case control study. Setting: Department of ENT, Head & Neck Surgery, DMC of DUHS & CHK-Pakistan. Duration: July 2011 to December 2012. Subjects and Methods: The participants were divided in three groups ‘A’, ‘B’ & ‘C’ having 35 subjects in each. Group‘A’ constitutes patients having strong clinical evidence of oral pre-neoplastic lesions. Group ‘B’ includes clinical and histologically proven OSCC and Group ‘C’ constitutes disease free subjects as controls. After taking informed consent, relevant clinical details were recorded on IRB approved performa. Saliva was procured by standard ‘draining (drooling) method’. Samples were stored at +4C and later transferred to Dow Diagnostic, Research & Reference Laboratory to be stored at -20C before further process. Samples were centrifuged at 4500 rpm for 15 minutes. Cell pellets were used for identification of high risk HPV-16 & 18 by real-time PCR method. Supernatant fluid phase was removed and used for detection and quantification of IL6 and IL8 by ELISA. Data was entered and analyzed 04 SPSS. P-value of 0.05 was taken as standard reference.
Performance Elevation Criteria for OFDM under AWGN Fading Channel using IEEE 802.11a

– In this paper, the BER performance of OFDM-BPSK 16 –QAM and 64–QAM system over AWGN fading channel has been reported. Orthogonal Frequency Division Multiplexing (OFDM) is a key technique for achieving high data rates and spectral efficiency requirements for wireless communication systems. However in fading environments the bit error rate (BER) increases. The performance can be improved by using some kind of channel coding. This form of OFDM is called coded-OFDM (COFDM). This paper presents a modeling and simulation of OFDM based on IEEE 802.11a standard. The flexibility of this model is because fading parameters compared to only one in AWGN fading model, which helps to analyze the severity of fading more deeply and this model is versatile enough to represent fading. Finally simulations of OFDM signals are carried with AWGN faded signal to understand the effect of channel fading . The performance of OFDM is compared in terms of BER vs SNR for different modulation formats.
The chemical constituents and pharmacological effects of Foeniculum vulgare-A review

As a result of accumulated experience from the past generations, today, all the world’s cultures have an extensive knowledge of herbal medicine. Plants are a valuable source of a wide range of secondary metabolites, which are used as pharmaceuticals, agrochemicals, flavours, fragrances, colours, biopesticides and food additives. This study was designed to highlight the chemical constituents and pharmacological effects of Foeniculum vulgare.
Performance Evaluation of DSR and LAR Routing Protocols with MAC Layer in MANET’s

— In the past two decades, we have seen a rapid development in the area of mobile computing and communications due to the explosion of inexpensive, broadly available wireless devices. A mobile ad hoc network is an independent collection of mobile devices that communicate with each other over wireless links and cooperate in a distributed manner in order to provide the necessary network functionality in the absence of a fixed infrastructure. Each device in a MANET is free to move independently in any direction, and will therefore change its links to other devices frequently. In this paper we have done the performance evolution of DSR and LAR routing protocols for MAC layer in MANETs with varying network size. Number of simulation scenarios was carried out by using Glomosim-2.03 with the simulation metrics like Throughput, End-to-End Delay and Packer Delivery Ratio. From simulation results we found that both 802.11 and CSMA is suitable for DSR where as only 802.11 is suitable for LAR.
Improved Image Steganographic System by using Multiple Encryption and DWT

— The protection of data over unsecure transmission network has continually a key concern in the consideration of investigators or cyber professionals. With the fast promising practice of the internet in all personnel and professional drives, the distress for the unauthorized entrance by an intruder and the valuable information will be later exploitation, has further put pressure on the industry or researchers for developing methods and techniques to protect the information from intruders involves in unlawful activities or cybercrime. Cryptography is
Fast Nearest Neighbour Search with Keywords using Spatial Inverted Index

: Spatial queries, such as range search and nearest neighbor retrieval, involve only conditions on objects geometric properties. A spatial database manages multidimensional objects (such as points, rectangles, etc.), and provides fast access to those objects based on different selection criteria. Now-a-days many applications call a new form of queries to find the objects that satisfying both a spatial predicate, and a predicate on their associated texts. For example, instead of considering all the restaurants, a nearest neighbor query would instead ask for the restaurant that is the closest among those whose menus contain the specified keywords all at the same time. Currently the best solution to such queries is based on the IR2-tree, which, as shown in this paper, has a few deficiencies that seriously impact its efficiency. Motivated by this, we develop a new access method called the spatial inverted index that extends the conventional inverted index to cope with multidimensional data, and comes with algorithms that can answer nearest neighbor queries with keywords in real time. As verified by experiments, the proposed techniques outperform the IR2-tree in query response time significantly, often by a factor of orders of magnitude.
PREVALENCE OF PRE OBESITY AND OBESITY AMONG THE COLLEGE GOING GIRLS OF RAJASTHAN

In the present study, an attempt has been made to assess the prevalence of pre obesity and obesity among 2073 college-going girls of Hanumangarh Junction and Shri Ganganagar district of Rajasthan. For this purpose height and weight measurements were taken on each subject. The prevalence rate of obesity was calculated according to the critical limits of body mass index (BMI). The observations revealed that the prevalence of pre obesity and obesity in college going girls was 32.21% and 10.07%, respectively.
AGE-RELATED CHANGES OF ENERGY METABOLISM OF RAT PANCREAS

In this paper, it has been studied the changes in body weight, pancreatic weight and respiration, oxidative phosphorylation of mitochondria of the pancreas in growing, adult and old rats. It is found that the pancreas and body weight of animal increased by age, but mitochondrial respiration of pancreas, in contrast, is reduced. It should be noted that the decrease of mitochondrial respiration function in aged rat markedly suppressed especially by succinate.
Oxidative Stress and Histopathological Evaluation of Rat Lung Tissueduring Hypobaric Hypoxia

Hypobaric hypoxia (HH) is a condition associated with low partial pressure of oxygen in the atmosphere. This lowering of oxygen content in atmosphere leads to decreased circulating oxygen in the humans residing in these regions. This lowering of oxygen does not cause any serious complications in residents due to adaptation. On the other hand these extreme environments are challenging for high altitude (HA) sojourners as they develop range of illness from i.e. from mild altitude sickness to fatal diseases. Several studies have been carried on altitude environment to focus physiological complications and adaptation. Serum-based clinical studies are comparatively easy due to availability of human volunteers. Tissue-based studies are still challenging as the development of animal model is the only approach. Herein we report lung tissue based oxidative stress markers level in conjunction with histopathological findings in rodent model. Male Wistar rats were exposed to 338 mm Hg pressure, simulating an altitude of 15,000ft in decompression chamber. Animals were used exposed for different durations i.e. 2 h, 4h, 8h, 12h, 16h, 24 h and 48 h (n=9/group). Partial pressure of oxygen (PO2) and carbon dioxide (PCO2) in arterial blood of animals were checked to confirm induction of hypoxia. Decreased value of PO2 and PCO2 during different exposure groups confirmed successful induction of hypoxia in animals. Altered valve of superoxide dismutase (SOD), glutathione peroxidase (GPX), catalase (CAT), lipid peroxidation (LPO) and reduced glutathione (GSH) in lung tissue of these groups confirmed occurrence of oxidative stress. Lung histopathological analysis of hypoxic groups provided evidence of lung injury on prolonged exposure. Short term hypoxic exposure (2h-4h) did not showed any major effect on lung architecture but with increased duration of exposure (8h-16h) deformities in lung parenchyma were observed, leading to development edema during 24h-48h of exposure. Alteration in oxidative stress markers during 12h-16h can be correlated with common altitude sickness which on prolong exposure (24h-48h) can turn into serious complication like pulmonary edema.
Offline Handwritten Signature Verification using Associative Memory Net

 Abstract — Handwritten signature verification must be accurate due to several legal issues. The verification mandates faster detection as well. Human eye often fails to differentiate accurately a very similar-looking forged signature from its genuine version. The clarification is often a time-taking process. Therefore, such verification, from the computer science perspective, is a bi-objective optimization problem, where cost functions are errors and computational time. This paper studies application of Associative Memory Net (AMN) in correctly detecting forged signatures, fast. Here, the cost functions are handled with detail parametric studies and parallel processing using OpenMP. The algorithms are trained with the original or genuine signature and tested with a sample of twelve very similar-looking forged signatures. The study concludes that AMN detects forgery with accuracy 92.3%, which is comparable to other methods cited in this paper.
Application ICT for Training Teachers in the Teacher's Education Center: A Case Study in Iran, Tehran

: The present research was done to study the facilitates and equipment necessary for information and communication Technology (ICT) application in Tehran teachers education centres which was carried out by way of a field research. Research aim was feasibility application of Information and communication Technology for training teachers in Tehran teacher's education centres. To perform the research a questionnaire with a 43 researcher-made question was used which included 11 basic factors of using information and communication Technology conditions. The above mentioned questionnaire was presented to two sample groups of instructions and students teachers. The collected information was analyzed using "T-test" with two independent groups and to identical samples, respectively. The result show that both groups indicated that in using ICT, the following factors are very important: Educational system strategy, social supports, technology availability, technical supports, qualified instructors, contents indexes, teaching resource and their assessments. Also both groups believed that there is a meaningful difference between the importance of each of the factors (Ideal case) and satisfaction of the presence of each calculated effect size has high strength.
Bacterial Meningitis in Childhood: Diagnosis, Management and Challenges in the Era of Conjugate Vaccines

Background: Bacterial meningitis remains a major cause of morbidity and mortality in childhood worldwide. Diagnosis of bacterial meningitis is challenging, as clinical and laboratory findings are not always present and often have limited diagnostic accuracy. Aims: To summarize salient features on diagnosis and treatment of bacterial meningitis in children and identify challenges currently faced in the era of conjugate vaccines. Methods: A MEDLINE search of English-language articles on bacterial meningitis in childhood published between 2000 and November 2017 was conducted.
The Researches on the Ideological and Political Education Models of College Students From the Perspective of Network Discourse

The emergence, application and popularization of network discourse bring great challenges to the traditional model of ideological and political education. Network discourse bears the characteristics of material reality, content dominance and discursively by nature. These characteristics cause the changes of the college students’ ideological and political education model, from the subjectivity education model of intersubjectivity education model, from the uniform education content to diverse educational content. The model evolves from a closed and static situation to an open and dynamic education environment. Therefore, the contemporary scholars in the field of college students’ ideological and political education should constantly explore new models of the university students’ ideological and political education, appealing to the demand of the transformations in education conception, the openness of education approaches. They should apply the intersubjectivity education model and enrich the educational content. They should also attach importance to the diversity education model and construct an appealing educational atmosphere. Dynamic education is the direction so the new development and demand of the ideological and political education can adapt to requirements in the network + era.
A Review on Solid-Selfmicroemulsifying Drug Delivery System: Formulation Strategies to Improve the Bioavailability of Poorly Soluble Drugs

Poorly water soluble drug candidates are becoming more prevalent and it has been estimated that 40-50% of drug molecules are poorly soluble in aqueous media or have a low permeability which does not allow for their adequate absorption from gastrointestinal tract following by oral administration. Formulation scientists have to adopt different strategies to enhance their absorption. Lipidic formulations are seen to be a promising approach to combat the challenges and especially self-microemulsifying drug delivery(SMEDDS) system approach are used to increase the absorption of poorly absorbed drug which ultimately increased there bioavailability. The attempts of various scientist to convert the liquid SMEDDS to solid-SMEDDS by adsorption, spray drying, lyophilisation, melt granulation and extrusion techniques. Formulation of SMEDDS is a potential strategy to deliver poorly soluble drug and low absorption drug with enhanced dissolution rate and bioavailability.
Role of Vitamin C and Vitamin E in Health and Disease

Vitamin C has antioxidant property. It is the component of plasma and extracellular fluids and so can control lipid peroxidation of cellular membranes, thus maintaining the redox integrity of cells. Vitamin C along with Zinc enhances the immunity of the body. It has therapeutic potential against neurodegenerative disease like Alzheimer’s disease. It has effects on increasing incidence of respiratory infection caused by heavy physical stress. Deficiency of Vitamin C can lead to scurvy. Vitamin E, being an anti-inflammatory agent provides skin photo protective and anti photo aging properties . α -tocopherol is a Vitamin E has beneficial effects with regard to cardiovascular disease . Vitamin E protects PUFAs against oxidative damage. Vitamin E and C supplements protect against vascular dementia and improve the cognitive function in late life. A combination of α-tocopherol (Vitamin E) and Vitamin C reduces the histologic inflammation and fibrosis.
PSO Optimized Communication Modeling For Wireless Sensor Network With Mobile Sink

:In wireless systems, the clustering approach is becoming very much popular these days. The key features for these protocols are the cluster head selection and the data transmission mode in the network. A significant number of researches have been made many approaches in this domain. Along with this, sink mobility is a novel aspect which acts as allurement for researchers. The route selection for data gathering by the mobile sink from the cluster head decision should be fast and effective. Moreover, the network must have long lifespan. To overcome these constraints, a mechanism of finding optimum path for the mobile sink using PSO algorithm with enhanced cluster heads selection is proposed in this paper. MATLAB tool is used to analyze proposed system. The simulation results show better results in terms of increased lifetime, less energy consumption etc. A comparative analysis is also made in this paper with traditional ACO algorithm which shows that proposed algorithm (PSO-MS) surpasses the traditional work (IACO-MS).
A CASE STUDY: EDGE DETECTION TECHNIQUES USING HOUGH TRANSFORM AND CANNY EDGE ALGORITHM

Edge Detection is an ever-expanding frontier in the field of Digital Image Processing. Several research papers have been published in this domain in the past decade specifying many applications of edge detection methods using platforms like MATLAB or OpenCV like Hough, Canny, Sobel, Prewitt Transforms among many others. In this case study, various elaborations on basic methods of edge detection have been made and their applications have been discussed in real-time. Furthermore, the performance analysis is figure out by comparison between the results of Canny Edge Detection method and Hough Transforms.
A Review On Collaborative Decision Technique For Blackhole Attack Prevention In MANET

-Mobile Ad Hoc Networks (MANETs) are collections of mobile nodes that can communicate with one another using multihop wireless links. MANETs are often deployed in the environments, where there is no fixed infrastructure and centralized management. The nodes of mobile ad hoc networks are susceptible to compromise. In such a scenario, designing an efficient, trustworthy and secure routing protocol has been a major challenge over the last many years. In this paper, we propose a Trust Based Secure On Demand Routing Protocol called “TSDRP”. Ad hoc On-demand Distance Vector (AODV) routing protocol has been modified to implement TSDRP for making it secure to thwart attacks like Blackhole attack and DoS attack. To evaluate the performances, we have considered Packet Delivery Fraction (PDF), Average Throughput (AT) and Normalized Routing Load (NRL).
CAMTS: Computer Aided Multidialectal Teaching System

—This research aimed at the development of computer aided multidialectal teaching system (CAMTS) that can be adopted and used as teaching tool in schools. We focused on simple arithmetic for nursery school pupils as our test case. The age group considered is 3 years to 5 years old. Our objective is the provision of a software tool that enables nursery school pupils learn and interact using three dialects from three Nigerian tribes (i.e. Igbo, Hausa, Yoruba) and one dialect in Togolese tribe (i.e. Ewe). The multidialectal component of the system gives room for easy teaching by the teachers and easy learning by the pupils in their native dialects. Moreover, both teachers and pupils have opportunity to learn another dialect aside their own dialects. CAMTS is flexible and can be scaled up to accommodate other dialects such that it can be adapted to other environments aside Nigeria and Togo.
The Transition in Goods Export Structure in the Northeast Region of Vietnam

The period 2005-2015 is an important stage in the preparation process of bringing Vietnam to basically become an industrialized country by 2020. The economic development of the Northeast with an open and export-oriented economy requires an important role of export activities in the region's socio-economic development. Although it is affected by the global economic crisis, the export value of the region has increased significantly, the structure of exports over the years has positively changed. In more detailed, the rate of raw goods slightly reduced. However, the restructuring of the region's exports has not made a breakthrough and failed to create a suitable structure of export products and made full use of the region’s advantages and potentials. The slow change of exports structure will lead to resource depletion, ecological imbalance, and poor economic efficiency. Keywords : Structure restructuring, Import and export, Northeast of Vietnam, PRODY, export commodities.