Miracle-dz/UniFAR-FTUs huggingface dataset:
SENTIMENT ANALYSIS OF ONLINE PRODUCTS BY HYBRID FEEDBACK BASED RECOMMENDATION SYSTEM

Online purchasing has been known as a rapidly growing commercial enterprise, and even though on line mobile purchasing has no longer accompanied those identical boom patterns within the beyond, it's miles now being diagnosed for its capability. As such, the focal point of previous on-line shopping research has seldom encompassed this specific retail marketplace, with the present research focusing basically on purchasers’ motivations and attitudes, as opposed to how consumers actually save for groceries on line. Sentiment evaluation is one of the current research subjects in the subject of textual content mining. Opinions and sentiments mining from natural language are very difficult task. Sentiment analysis is the best solution. This gives important information for decision making in various domains. Various sentiment detection methods are available which affect the quality of result. In this paper we are finding the sentiments of people related to the services of E-shopping websites. The sentiments include reviews, ratings and emoticons. The main goal is to recommend the products to users which are posted in E-shopping website and analyzing which one is the best. For this we use stochastic learning algorithm which analyze various feedbacks related to the services. To find out fake review in the website can be analyzed.
A Survey on Wireless Intrusion Detection using Data Mining Techniques

- An Intrusion Detection System (IDS) is a system for detecting intrusions and reporting to the authority or to the network administration. In recent years, since the computer network keeps expanding drastically, the incidents of data theft and hacking are also increased. In order to control and monitor such activity that violates the security policy of system, it is necessary to have intrusion detection system (IDS) in a network. Intrusions are commonly high in wireless network when compared to wired networks, irrespective of wireless networks like Wireless sensor network (WSN)/Wireless ad-hoc network (WAHN) the vulnerability is very high because there is no perimeter security as defined or stated in wired networks. Data mining techniques have been successfully applied in many fields like Network Management, Education, Biology, Management studies, Production engineering, Process control, and Fraud Detection. The objective of this survey paper is to discuss the various methods which are being used for wireless intrusion Detection in WSN & WAHN based on Data mining concepts.
Object Tracking by Normalized Cross Correlation and PCA Based Object Tracking by Normalized Cross Correlation and PCA Based Template Updating: Comparative Analysis Template Updating: Comparative Analysis

: The principle behind to detect and track non-stationary object via a sequence of frames is addressed. The proposed strategy pushed the Normalized Cross-Correlation (NCCR) to track object by matching the template and updating the template is encouraged through Principal Component Analysis (PCA). This work remarked with exhaustive experiment and witnessed with comparative analysis over dataset related to outdoor environment. The system kernel reveals the capability to track the object and outcome is fairly acceptable to great extent under different light conditions.
AMERICAN JOURNAL OF ADVANCES IN NURSING RESEARCH

Polypharmacy is defined as “prescription, administration or use of more medications that are clinically indicated or when a medical regimen includes at least one unnecessary medication. ” Although polypharmacy can be appropriate, it is more often inappropriate. Concerns about polypharmacy include increased adverse drug reactions, drug interactions, prescribing cascade and higher costs. Polypharmacy is often associated with a decreased quality of life, decreased mobility and cognition. Objectives to determine the opinion about polypharmacy among nurses in a rural tertiary care centre, AIMS, B G Nagar. A cross-sectional questionnaire-based study was conducted among nurses of AIMS, B G Nagar, Mandya, Karnataka. The study questions included the opinion of nurses about polypharmacy in different group of patients. A total of 94 questionnaires were distributed. 76 questionnaires were complete and taken for the study. The responders rate was 80.85%, among them 71.05% (54) were females and 28.95% (22) were males. 76.31% agreed that polypharmacy increases therapeutic effect of drugs, 53.93% responded that it shortens the duration of treatment, 48.68% and 46.04% agreed that polypharmacy improves quality of life and prolongs the life survival respectively. 90.78% opined that polypharmacy increases drug interactions where as 81.57% opined that it increases adverse effects. 59.2% stated that polypharmacy increases non-compliance of patients towards prescribed drugs. 56.57% supported that polypharmacy is beneficial in geriatric age group, 51.31% and 65.78% strongly agreed that polypharmacy is not beneficial among both paediatric and middle age group patients respectively. Our study showed that majority of nurses has good knowledge towards polypharmacy. They opined about both the positive and negative aspects of polypharmacy. To provide improved and better patient care, the nurses can be educated about polypharmacy with educational interventions like training programmes and conducting CME (Continued Medical Education) periodically.
Placenta accreta et utérus cicatriciel : place du traitement conservateur

* Service de gynécologie obstétrique, hôpital de la Conception, 147, boulevard Baille, 13385 Marseille Cedex 05. ** Service de gynécologie obstétrique, hôpital Nord, chemin des Bourrely, 13915 Marseille Cedex 20. L e placenta accreta est défini par une adhérence anormale du placenta au muscle utérin, avec histologiquement, une absence de caduque déciduale entre le placenta et le myomètre (1). Il peut se présenter sous plusieurs formes : accreta vera (placenta fixé mais n’envahissant pas le muscle), increta (envahissement du muscle par les villosités placentaires), voire percreta (totalité de la paroi utérine envahie avec possibilité d’extension au rectum et surtout à la vessie). Le diagnostic, théoriquement histologique, est le plus souvent clinique au moment de l’accouchement, lorsqu’une délivrance artificielle ne retrouve pas le plan de clivage habituel, souvent dans un contexte hémorragique. L’incidence du placenta accreta est actuellement en augmentation, notamment du fait de l’augmentation du taux d’utérus cicatriciels (2). Le pronostic vital maternel est mis en jeu par des hémorragies génitales au moment de la délivrance. En France, les hémorragies de la délivrance représentent la cause la plus fréquente des décès maternels (3). Pendant longtemps, le traitement de référence en cas de placenta accreta a été l’hystérectomie. Il représente d’ailleurs la première cause d’hystérectomie d’hémostase aux États-Unis. De plus en plus d’équipes développent cependant actuellement une stratégie thérapeutique conservatrice pour tenter de préserver la fertilité ultérieure de patientes souvent encore jeunes.
“Impact of Tourism on Agriculture with Special Reference to Pachmarhi, Madhya Pradesh”

The development of tourism destination areas has varied according to place, time and changesin fashion, taste and political conditions as well as such local factors as topography, climate and land ownership patterns. In many parts of the world improved roads and other infrastructure have opened up the rural and agriculture based sites to domestic tourists and advances in sea and air travel provide easier access to international tourism. For the last fifteen to twenty years tourism has observed perpetual growth and significant diversification to become one of the swift growing economic zones in the world economy. International tourism arrivals have expanded at an annual rate of 6.2% for the past six decades, growing from 25 million to 980 million visitors (UNWTO, 2012). As growth has been observed, significant change taken place in the world's developing nations; and hence the number in international tourism increased from 32% in 1990 to 47% in 2010 (UNWTO, 2012).
Efficiency Study of Silver Nanoparticles (AgNPs) Supported on Granular Activated Carbon against Escherichia coli

applications [5-7]. A number of recent achievements offer the possibility of generating new types of nanostructure materials with designed surface and structural properties [7-10]. It is well known that silver ions and silver-based compounds are highly toxic to microorganisms [7-11] showing strong biocidal effects on as many as 16 species of bacteria including E. coli [12-15]. Biocide mechanism is still under research. Some authors report that Ag inactivates microbes by interacting with their enzymes, proteins or DNA to restrain cell proliferation or cell division. It also binds to the negatively-charged bacterial cells to change the functionality of the cell membrane, thereby preventing bacterial regeneration [13,16-17]. Thus, registration of biocidal silver and nanosilver products has increased dramatically over the last ten years, most likely as a result of improved capabilities in nanoscience and engineering that allow silver nanoparticles (AgNPs) to be formulated to confer increased durability and/or sustained antibacterial action, even under harsh environmental conditions [18]. Based on these facts, we prepare granular activated carbon impregnated with silver nanoparticles (AgNPs-GAC), in order to determinate their antibacterial activity (elimination of microorganisms) against Escherichia coli. Material and Methods Material
Improving the Care Provided to Hemiplegics Cerebral Palsy Children by Their Family Caregivers: An Intervention Study

Cerebral palsy (CP) is a form of brain damage that constitutes a leading cause of physical disability in childhood. Caregivers’ perceptions of their child’s needs are likely to have substantial impact on the success of rehabilitative management. The aim of this study was to evaluate the effectiveness of a health teaching intervention to family caregivers in improving their knowledge and practices towards care of their children suffering from hemiplegic CP. Design: A single group quasi-experimental design was utilized for this study (pre-post test format. Setting: This study was conducted at homes of the study sample that was selected from all institutions for social rehabilitation at Zagazig Governorate (3 institutions). Subjects: The sample consisted of (50) all family caregivers and their children aged from 3 to less than 6 years. Tools An interview questionnaire and an observation checklist were used for data collection before and after implementation of a health teaching program developed by the researchers based on collected data and related literature. The study lasted from January to June 2011. Results showed many areas of deficient knowledge among family caregivers at the pretest, with 9 (18%) caregivers having satisfactory knowledge. This increased to 88% at the posttest (p<0.001). Caregivers' adequate reported and observed practices increased from 22% and 26% to 60% and 84%, respectively (p<0.001). Conclusion The improved knowledge was an independent positive predictor of the scores of practice. Thus, the educational program was effective in improving the knowledge and practices of CP children's parents. It is recommended to implement this program in many settings to support its effectiveness, and to test it in a randomized clinical trial to confirm the findings. [Eman Shokry Abd Allah, Samah El Awady and Howyida S. Abd EL Hameed. Improving the Care Provided to Hemiplegics Cerebral Palsy Children by Their Family Caregivers: An Intervention Study. J Am Sci 2012;8(2):730-737]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 102
MRSA and Inducible Clindamycin resistance in Staphylococcus aureus from Various Samples in A Tertiary Care Hospital

Among the genus Staphylococcus the most pathogenic is Staphylococcus aureus. This organism is responsible for causing suppurative types of infections. They have ability to spread and cause outbreaks in hospitals. Most Staphylococcus aureus infections resolve spontaneously or in response to antibiotic treatment, but in recent years there have been increasing in developing resistance to multiple antibiotics (Srinivasan et al., 2002).
Applied Mathematics & Information Sciences

In recent decades, natural language processing has great progress. Better model of each sub-problem achieves 90% accuracy or better, such as part-of-speech tagging and phrase chunking. However, success in integrated, end-to-end natural language understanding remains elusive. It is mainly due to the systems processing sensory input typically have a pipeline architecture: the output of each stage is the input of the next, errors cascade and accumulate through the pipeline of naively chained components, and there is no feedback from later stages to earlier ones. Actually, later stages can help earlier ones to process. For example, the part-of-speech tagger needs more syntactic and semantic information to make this choice. Previous researches tend to ignore this. So errors in each step will propagate to later ones. In current, a number of researchers have paid attention to this problem and proposed some joint approaches. But they do not perform Open Information Extraction (Open IE), which can identify various types of relations without requiring pre-specifications. In this paper, we propose a statistical modeling such unified consideration known as joint inference, which is based on Markov logic and can perform both traditional relation extraction and Open IE. The proposed modeling significantly outperforms the other Open IE systems in terms of both precision and recall. The joint inference is efficient and we have demonstrated its efficacy in real-world Open IE detection tasks.
M-Privacy for Collaborative Data Publishing By Using Heuristic Approach

According to the survey Maintaining and preserving privacy has become more significant problem. We consider the collaborative data publishing problem for anonymizing horizontally partitioned data at multiple data providers. We consider a new type of “insider attack” by colluding data providers who may use their own data records (a subset of the overall data) to infer the data records contributed by other data providers. For M-privacy several anonymization techniques have been used such as bucketization, generalization, perturbation which does not prevent privacy and fail to maintain a privacy constraint and results in loss of information. So we consider the collaborative data publishing for anonymizing horizontally partitioned data at multiple data provider. First, we provide the notion of m -privacy, which give guarantees that the anonymized data satisfies a given privacy constraint against any intruder attack. Then we present heuristic algorithms with effective pruning strategies and adaptive ordering techniques for efﬁciently checking m-privacy for a set of records i.e to breach the privacy. Here intruder are also detected which try to breach the privacy. This technique shows the better utility and efficiency than the previous techniques.We develop a truthful and efficient M-privacy for collaborative data publishing by using pruning strategy and providing them anonymized data in case of emergency.
Fraud detection in keyword-based recommendation system

These days the form of shopping has changed significantly. Online shopping has become increasingly popular among people. It is a fact that more than 90% people read reviews before purchasing. It is difficult to differentiate positive and negative reviews and identify the genuine ones from fake reviews. It is common to express the opinion about the products by the user on websites of the products. It is of interest of both the company and the users as these are source of getting feedback and suggestions. Due to importance of opinions of the product by other users in decision making of user, number of fake reviews is increased. This project aims at identifying positive ,negative reviews and detection of fake reviews. The existing system focuses on extraction Opinion target is the object regarding which opinion is given of and opinion word are words which express user opinion.By using OT ,OW and opinion relation between them the graph has been displayed.
Simulation and Analysis of OFDM and SC-FDMA with STBC using Different Modulation Techniques

 Abstract: Rapidly growing demand of multimedia services and the growth of internet services lead to requirement of high speed communication in current 4G and other wireless communication systems. Orthogonal Frequency Division Multiplexing (OFDM) and Single Carrier Frequency Division Multiple Access (SC-FDMA) are a major part of future mobile communication standards like Long Term Evolution (LTE), LTE-Advanced and Ultra Mobile Broadband (UMB). OFDM is a well known technique for the broadband wireless communication system which is utilized for achieving high spectral efficiency in communication systems [1]. The undesirable high PAPR of OFDM led 3GPP to choose a different modulation format for the LTE uplink. OFDM is used in the WiMAX uplink but LTE continued to use SC-FDMA.SC-FDMA is a new hybrid modulation scheme that cleverly combines the low PAPR of single-carrier systems with the multipath resistance and flexible subcarrier frequency allocation offered by OFDM [2]. In this paper, we have explored both the multiple access techniques i.e. OFDM and SC-FDMA and implemented it in GUI MATLAB 7.10. 0 alongwith the coding algorithm of space-time block codes (STBC) by using different modulation techniques i.e. QPSK, QAM and PSK .
Implementation of Optical Flow, Sliding Window and SVM for Vehicle Detection and Tracking

: Vehicle detection and tracking are two most challenging tasks of traffic surveillance in transport system. Traditional vehicle detection and tacking methods are computationally expensive and become inefficient in case where light intensity is low and occlusion of vehicles is high. This paper includes detection of moving vehicles, counting of vehicles and tracking of detected vehicles. Here detection is carried out by Optical Flow Method in which a moving vehicle is extracted from the relative motion by segmenting the region representing the same optical flows.The optical flow image uses Horn-Schunk technique in finding the optimum parameters for providing the smoothness. The detected vehicles are tracked using Linear Support Vector Machine Classifier (Linear SVM) with a set of features like Histograms of Oriented Gradients (HOG), Histograms of color features and Geometric features of vehicles, withthis details the classifier is trained.This trained classifier is used to search for vehicles in a video, based on the sliding – window technique then its heat map is generated to know the position of a vehicle. Combine this heat maps gives the exact location of the vehicle in images. Experimental results demonstrate that the proposed method is effective in detection&counting and tracking of vehicles.
Analysis of Image Segmentation and Edge Detection in Medical Images

— Accurate Image segmentation and edge detection are fundamental for Medical diagnosis, Locate tumours and other pathologies, Measure tissue volumes, computer-guided imaginary, Treatment Planning and Study of anatomical structure. The proposed method for image segmentation is Active contour model. It uses parameterized representation of evolving curves to segment image images. It utilizes edge information of the image to lock the evolving curve on to the boundary of the objects in image. The second Geodesic Active contour method uses both edge and region information for segmentation. There are some Images whose boundaries are not well defined called “without edges” segmented through new region based active contour model. Recent Developments, reported in this paper, demonstrate that the proposed segmentation algorithms outperforms some well-known methods in both accuracy and processing speed .
Meta-Analysis: Stress-Induced Insomnia and its Effect on Blood Pressure

Stress-induced insomnia and hypertension often coexist and are very common. There is adequate evidence to show that the increased prevalence of hypertension over the past few years could be linked to the increased prevalence of insomnia and the reduction of sleep time resulting from a contemporary lifestyle. This paper will decipher clinical evidence of the relationship existing between stress-induced insomnia and hypertension a side by side comparison of the impacts of stress-induced insomnia on a hypertensive and a non-hypertensive patient. The paper will also describe the biological plausibility of stress-induced insomnia and its pathological and physiological mechanisms. Through the use of a systematic search of various medical journals and online searches, the study selected articles that reported the relationship between high blood pressure and stress-related sleep deprivation in participants aged above 19 years. This meta-analysis describes the relationship between experimental stress-related insomnia and hypertension when other known risk factors are controlled. The physiological and pathological mechanisms underlying this relationship could be associated with an arousal that is inappropriate resulting from increased activation of the stress system functions. According to the hypothesis, stress-related insomnia might act as a physiological or neurobiological stressor that could impair brain function, thus contributing to the allostatic load, a process that compromises somatic health and stress resilience.
Clustering Categorical Data for Internet Security Applications: A Review

: Malware and phishing website detection has been the Internet security topics that are now a day has great interests. Compared with malware attacks, phishing website fraud is a relatively new Internet crime. Over the past few years, many clustering techniques have been employed for automatic malware and phishing website detection. In these techniques, the detection process is generally divided into two steps: 1
Comparative study of various Security Algorithms applicable in Multi-Cloud Environment

: In Cloud computing, data security is the major issue. Cloud computing environment security issues are handled by the system administrator or Cloud administrator. All the services related to data storage, data Availability is managed by third party who owns the infrastructure . Researches on Security in single Cloud is paid more attention than in Multi-Cloud. Organizations are migrating towards multi-Cloud due to its ability to overcome issues like data Availability, integrity and authenticity in this paper; we describe an architecture for security of data in multi-Cloud environment. The security of the data can be done by using different secret sharing algorithm. A systematic analysis of the various security algorithms is done, to improve security on multi-Cloud. This architecture will address data security in multi-Cloud environment and enhance security to some extent.