Miracle-dz/UniFAR-FTUs huggingface dataset:
CLUSTERING OF USERS BASED ON BROWSING BEHAVIOR

: Web mining is the intelligent analysis of Web data. With Web mining techniques, business organization can gain a better understanding of both the web and web users' preferences to help them run their business more efficiently. By analyzing the characteristics of the user clusters, web users can be understood better and thus can be provided with more suitable and customized services. To identify subgroups of users, we used clustering to categorize users on the basis of their behaviors. Each clustering method uses different criteria to group data objects. Our solution proves that group together clients or data items that have similar characteristics gives best results.
ASSESSMENT OF NUTRITIONAL STATUS OF PREGNANT WOMEN BELONGING TO LOW INCOME GROUP

Numerous studies in India and elsewhere have shown that in chronically undernourished women subsisting on unchanged dietary intake, pregnancy and lactation have an adverse effect on maternal nutritional status. Maternal under nutrition is associated with low birth weight and all its attendant adverse consequences. The present study was conducted to study the nutritional status of pregnant women of low income group. A hospital based cross sectional study was carried out among 200 pregnant women from low socio-economic group attending the antenatal clinic for a period of three months. It was found that as the social class increased, the family’s monthly expenditure on food decreased. It was clearly seen that the mean value of a day’s sample menu for all 9 parameters studied, was deficient almost more than 50% when compared to ICMR recommended allowances. The prevalence of underweight was found to be 61.5%. Only 37% of pregnant women were in the normal weight category. A very high proportion i.e. 85.5% of women were found anemic. Thus it can be concluded that the nutritional status of pregnant women belonging to low social classes is found to be very poor. There is a need to give special attention to these groups of pregnant women to improve the pregnancy outcome among them.
A REVIEW BLOCK BASED COPY MOVE FORGERY DETECTION TECHNIQUES

:- Copy–move forgery the most preceding and predominant forms of intentional qualification doctoring on digital images. That means a of region(s) the two dimensional artefact is (are) copied and pasted onto itself, and then afterwards the suspicious nugget is (are) processed. Main finding on copy moves forgery detection techniques for digital images are merely finding the cloned parts of the image. The few last decades a lot of researches were busy in the area of digital image forensics, whereby the investigation for possible forgeries is solely based on post-processing of images. In this review paper, we will present that was so far found in blocked-based CMD techniques. It reviews findings of the algorithms then evaluates and compare based on their performances related to a set of predefined parameters, this characterization will be used for further evaluation on the performance and efficient of given blocked based cloning detection algorithms under the study. The result found after comparing them a user able to select the most optimal forgery detection technique, depending on the user format and type transformation it involves.
Wireless Sensor Network & their applications in Electrical System

: Wireless Sensor Network have been broadly familiar as a hopeful technology that can enhance various aspects of today’s electric power systems, including generation, delivery, and utilization. Manual collection of data is very difficult & time consuming task and may be infeasible if the data terminals (nodes) are unreachable. Therefore, a wireless update mechanism is needed. The mentioned task is achieved by using Wireless sensor network. According to this concept, the power system will have such capabilities as to integrate micro producers of energy (possibly coinciding with customers), to perform automatic fault detection and self-reconfiguration according to supply and demand patterns. In order to allow these advanced functionalities, the power grid must first be sensorized, i.e. fit with sensors that are able to collect and deliver relevant measurements to the processing systems, as well as electro-mechanical actuators that are used to change the configuration of the grid. This paper presents a demonstrator developed within the scope of the WSN, which addressed the protection of critical infrastructures through the use of Wireless Sensor and Actuator Networks (WSAN). The demonstrator includes sensor nodes developed within the project. This paper focuses the hardware of the sensor nodes and presents the respective performance results, attesting the feasibility of the proposed solutions.
Novel ECC Data Security & Privacy Preserving by using TCP-ABE Algorithm

In order to surmount the above cited quandaries I am proposing an incipient technique Trust predicated Cipher Text-Policy Attribute Predicated Encryption for reducing involution and withal to ameliorate the security in DTN. The concept of attribute-predicated encryption is a promising approach that full fills the requisites for secure data retrieval in DTN. The subsisting system involves cipher text-policy attribute-predicated encryption presentation, which provides a scalable way of encrypting information this that the encrypted defines the attribute put that the decrypted needs to process for decrypting the cipher text. However, the quandary of applying CP-ABE in decentralized DTN results in several security and privacy challenges with regards to the attribute annulment, key escrow, and categorization of attributes issued from different ascendant entities.
Peer to Peer Networks Management Survey

Peer-to-Peer systems are based on the concept of resources localization and mutualisation in dynamic context. In specific environment such as mobile networks, characterized by high variability and dynamicity of network conditions and performances, where nodes can join and leave the network dynamically, resources reliability and availability constitute a critical issue. The resource discovery problem arises in the context of peer to peer (P2P) networks, where at any point of time a peer may be placed at or removed from any location over a general purpose network. Locating a resource or service efficiently is one of the most important issues related to peer-to-peer networks. The objective of a search mechanism is to successfully locate resources while incurring low overhead and low delay. This paper presents a survey on P2P networks management: classification, applications, platforms, simulators and security.
Restraints utilization in a psychiatric emergency room

ABSTRACT The utilization of restraints is an important quality measure of psychiatric services including the emergency and inpatient services. The practice, however, continues to generate controversy and differing opinions in terms of its ethics and clinical utility. Prompt identification of patient and environmental factors that are most frequently associated with the need for restraints may provide useful tools to help clinicians as they triage patients in psychiatric emergency settings. Proactive measures such as behavioral interventions can reduce the need for restraints and improve the quality of care provided to patients. We conducted a systematic retrospective review of all restraint orders between January 2016 and June 2016 in the psychiatry emergency of a community hospital in an urban setting. Data was analyzed using descriptive statistics and Chi-square to determine associations between patient demographic characteristics, primary diagnoses and the use of restraints. Results show that 2.9 percent of patients in the present study required restraints. Manual hold was by far the most utilized (88.4%); 53.7 percent of all the patients had a positive urine toxicology for illicit substances, mostly Marijuana (31.6%). We also reported a significant association between the patient’s primary diagnosis and the frequency of restraints (p = 0.004), the most frequent diagnosis being the schizophrenia spectrum (69.5%). In conclusion, our study presents characteristics and descriptors of patients who required restraints. An early identification of patients’ diagnosis and any co-morbid substance abuse and a prompt and proactive management of patients may reduce the need for restraints in psychiatric emergency room settings.
Effect of Inspiratory Muscle Training on Blood Glucose Levels and Serum lipids in female patients with type 2 diabetes

Chronic hyperglycemia and hyperlipidemia can lead to serious long-term complications in type 2 diabetes. Physical exercise can effectively lower blood glucose levels and serum lipids. However, women with type 2 diabetes are more likely to have limited physical activity due to comorbidities, and/or reduced physical exercise opportunities due to personal, social, and cultural barriers. This would address the need for exploring alternative exercise forms. Thus, the purpose of this study is to investigate the effect of inspiratory muscle training (IMT), as a potential alternative, on blood glucose levels and serum lipids in female patients with type 2 diabetes. Twenty eight female patients with type 2 diabetes were included in this study. The patients gave their written consents and were equally assigned to either a study (n=14) or a control (n=14) group. Patients in both group received oral anti-diabetic pharmacological therapy. Only patients in the study group received inspiratory muscle training at 30% of maximal inspiratory pressure, once daily, five days/week, for 8 weeks. Fasting and 2-h post-prandial blood glucose, cholesterol, low density lipoproteins, triglycerides, and HOMA-IR were measured at baseline and after the intervention. Unpaired t-test was used to calculate differences between the two groups, and Paired t-test was used to calculate changes within each group. none of the measured variable has been significantly changed in either group, and nor were there any significant differences between the two groups. IMT with low inspiratory loading fails to demonstrate any significant improvements in blood glucose levels, serum lipids, and/or HOMA-IR in female patients with type 2 diabetes.
ECG Based Human Authentication: A Review

: With the current technological advancements in the field of medical diagnosis, measurements and increasing health diseases, it has become essential to devise a system for monitoring the patients remotely by using latest technologies. Various researchers have been working in the area to provide an ease in monitoring of high risk patients.This paper presents a review report prepared after an exhaustive literature survey in the area of patient authentication through ECG. It discusses the comparative analysis on the basis of various diseases, physiological and other sensors used, Signal processing techniques, Information management, communication technologies used to remotely monitor the patients. Finally it illustrates the scope of future research work.
ANTIBACTERIAL & ANTIOXIDANT ACTIVITY OF FLAVANOID RICH FRACTION FROM THE PETALS OF CASSIA AURICULATA – AN IN-VITRO STUDY

Cassia auriculata is a common plant and known for its various medicinal properties. The aim of the present study was to evaluate the invitro antimicrobial and antioxidant activity of flavonoid rich fraction of C. auriculata petals. The invitro antimicrobial activity was performed by disc diffusion and MIC method against Staphylococcus aureus, Escherichia coli, Bacillus subtilis, Pseudomonas aeruginosa and Proteus vulgaris. The antioxidant activity of rich flavonoid rich fraction from the petals of C. auriculata was tested using antioxidant assay techniques. The flavonoid rich fraction of C. auriculata petals exhibited antibacterial activity on P. vulgaris and E. coli significantly than the others. The flavonoid rich fraction of C. auriculata also showed effective antioxidant activity in all assay techniques. The present study indicated the petals of C. auriculata as a potential novel source with free radical scavenging compound and antibacterial properties.
Prevalence of low birth weight infants and its related factors in Qom delivery units, 2000

Background : Infant mortality rate is one of the most important health index in societies for which low birth weight plays the most important role. The present study was carried out in Qom province to determine this index and its related factors. Materials and methods : For this cross sectional study 1927 newborns were selected from different private and public delivery units. A questionnaire was completed and infant's mothers were interviewed and pediatricians examined Infants. Finally, those LBW newborns were entered for analysis. Results : Of 1927 newborns, 11.8 weighed under 2500 grams, of these 47 had mothers aged less than 18 years and 10 had mothers aged more than 35 years. 51 of these infants were female. There was a significant correlation between previous history of abortion and LBW infant delivery, however, we could not find any association between maternal occupation and level of education with LBW infants. Conclusion : The high prevalence of LBW infants in Qom province is noticeable. Further studies are strongly recommended.
Performance Evaluation of Various Segmentation Techniques on MRI of Brain Tissue

Accuracy of segmentation methods is of great importance in brain image analysis. Tissue classification in Magnetic Resonance brain images (MRI) is an important issue in the analysis of several brain dementias. This paper reviews the performance of segmentation techniques that are used on Brain MRI. A large variety of algorithms for segmentation of Brain MRI have been developed. This paper aims at to study the performance segmentation process on MR images of the human brain, using Fuzzy c-means (FCM), Kernel based Fuzzy c-means clustering (KFCM), Spatial Fuzzy c-means (SFCM) and Improved Fuzzy c-means (IFCM). The review covers imaging modalities, MRI and methods for noise reduction and segmentation approaches. After applying all methods on MRI brain images, which are degraded by salt-pepper noise, it is demonstrated that the IFCM algorithm performs more robust to noise than the standard FCM algorithm. We conclude with the trend of future research in brain segmentation by changing norms in FCM, for better results.
MONITORING THE ENVIRONMENTAL CONDITIONS BY USING RASPBERRY PI AND WSN

— This paper presents the wireless sensor network system and Internet of things (IOT), by using WSN it develops an open source hardware platform, raspberry pi (2B model),zigbee and sensors. It is low cost, low power consuming device and highly scalable in a type of sensors and the number of sensor nodes. Sensor node is a combination of sensor, controller and XBee module, which makes it well suited for a wide variety of applications related to environmental monitoring. The Internet of Things (IoT) is an emerging key technology for future industries, and environmental monitoring. The raspberry pi is the cheapest ARM11 powered Linux operating system single board computer. Raspberry Pi works as a base station which connects the number of distributed sensor nodes via zigbee protocol. In the wireless sensor networks the zigbee is a high level communication protocol used to create a wireless networks, it consist of a three modes such as end tags, router, and coordinator. Coordinator directly communicates with a base station. In wireless sensor network system the sensor node sense the data from the sensor and that data collects the end tags, end tags send its data to the router and router to coordinator and supply multi-clients services including data display, the whole data will be stored in base station and the stored data will send to the cloud (Ethernet) and also the client can visit the base station remotely via (website) Ethernet. Such a sensors are temperature, vibration, pressure, moisture, light, and pollution.
Detection of Presepsin and Surface CD14 as a Biomarker For Early Diagnosis of Neonatal Sepsis

Objective: To evaluate the value of Presepsin and surface CD14 in the discrimination between infectious and noninfectious inflammation in comparison to conventional laboratory parameters as total leucocytic count (TLC), C-reactive protein (CRP). Design and setting: Prospective, observational study in three neonatal intensive care units. Patients: Forty-nine neonates with suspected sepsis (according to clinical suspicion or recent laboratory evidence that supports infection) and twenty-one apparently healthy neonates serving as healthy control group. The suspected sepsis group was further classified according to blood culture result into blood culture positive and blood culture negative patients. Another classification was based on the onset of sepsis into early onset sepsis (EOS) and late onset sepsis (LOS). Interventions and measurements: plasma Presepsin level, flow cytometric CD14 expressed in two ways: percent and mean fluorescent intensity (MFI), CRP, blood culture and complete blood count (CBC). Results: As for presepsin, CD14 MFI and CRP, their levels showed statistically significant increase when the comparison was held between: suspected sepsis group and control group, blood culture positive patients and controls, clinically septic patients and controls, patients with EOS and controls, patients with LOS and controls. The area under the curve (AUC) was the biggest for CD14 MFI (0.802), followed by presepsin (0.784), then CRP (0.659) and finally CD14% (0.608). The combination of presepsin and CD14 MFI achieved a better diagnostic performance (AUC= 0.883) than CD14 MFI did solely. More interestingly, the addition of measuring Hb level to the combination of presepsin and CD14 MFI showed the best diagnostic performance (AUC= 0.922). Conclusion: presepsin and CD14 MFI may help clinicians to make a decision regarding the use of antimicrobial therapy in early stages of sepsis when conjugated with clinical judgment. However, none of the studied markers could be used alone in diagnosing sepsis in an earlier and more specific way but rather the use of combination biomarkers is a more applicable mean to achieve this goal. [Raghda Mohammed Mostafa Ghorab, Shams Mohamed Kholouss, Nahla Mohamed ZakariaYousef, Taysir Ramadan Hafiz, and Doaa Mohamed Abd ElAziz. Value of Presepsin and Surface CD14 in Early Diagnosis of Neonatal Sepsis. J Am Sci 2015;11(10):104-116]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 12
PROGRESSION OF NOVEL OPTIMIZED COLOR IMAGE TECHNIQUE FOR QUICK RESPONSE CODES

: The developed system makes use of QR codes that is embedded in the color image using DWT (Discrete Wavelet Transform), an automatic method to embed color QR codes into color images with bounded probability of detection error. Here we develop cyan (c), magenta (m), and yellow (y) print colorant channels based three unique QR codes commonly used for color printing and the complementary red (r), green (g), and blue (b) channels, respectively, used for capturing color images. These embeddings are compatible with standard decoding applications. Experimental results show the graceful degradation of the decoding rate and the perceptual quality as a function of the embedding parameters .
Teaching Network Security with IP Darkspace Data

The fifth generation (5G) mobile networks are envisioned to support the deluge of data traffic with reduced energy consumption and improved quality of service (QoS) provision. To this end, key enabling technologies, such as heterogeneous networks (HetNets), massive multiple-input multiple-output (MIMO), and millimeter wave (mmWave) techniques, have been identified to bring 5G to fruition. Regardless of the technology adopted, a user association mechanism is needed to determine whether a user is associated with a particular base station (BS) before data transmission commences. User association playsa pivotal role in enhancing the load balancing, the spectrum efficiency, and the energy efficiency of networks. The emerging 5Gnetworks introduce numerous challenges and opportunities for the design of sophisticated user association mechanisms. Hence, substantial research efforts are dedicated to the issues of user association in HetNets, massive MIMO networks, mmWave networks, and energy harvesting networks. We introduce taxonomy as framework for systematically studying the existing user association algorithms. Based on the proposed taxonomy, we then proceedto present an extensive overview of the state-of-the-art in user association algorithms conceived for HetNets, massive MIMO,mmWave, and energy harvesting networks. Finally, we summarize the challenges as well as opportunities of user association in 5G and provide design guidelines and potential solutions for sophisticated user association mechanisms.
A Review on Load Balancing Techniques in Cloud Computing

Cloud computing is the new computing paradigm in IT industry now a days where platform, software, applications and some other IT services are available over the internet as per user’s demand. Users pay for resources which they require. Load balancing for the cloud computing has become a very interesting research area. Many algorithms were suggested for load balancing. These algorithms are used to improve the overall performance of the cloud environment. In this paper the different algorithm are discussed which are used for solving the issues of load balancing in cloud computing. Index Terms cloud computing, load balancing ________________________________________________________________________________________________________
Attitudes and Beliefs of Undergraduate Students to Spectacle Wear in Ghana

Universally, refractive error is one of the common causes of visual impairment and blindness [1-3]. A total of about 153 million people have been estimated to be visually impaired from uncorrected refractive errors. Out of out this number, about 8 million are blind [1]. Uncorrected refractive error remains the main cause of low vision globally [4]. Refractive errors that go uncorrected could have a huge impact on academic performance; reduce work productivity and negatively impact the overall quality of life. Correction of refractive errors with spectacles is one of the most cost-effective measures to reduce the burden of avoidable visual impairment [1,4,5]. Wearing spectacles to correct refractive errors is integral to the improvement of vision, productivity and quality of life. However there are many psychosocial perceptions about the wearing of spectacles among people especially young adults [6-11]. Generally, ignorance of refractive errors and the benefits of using spectacles to relieve symptoms could be said to be one of the main causes of not wearing spectacles [12,13]. People who need spectacles also shy from wearing them because they would be thought of as being blind or visually handicapped. For others, wearing spectacles could diminish their chances of getting a spouse whereas some also perceive it to be for only the old folks [9,12,14]. Contrary to the above perceptions, people wear spectacles because it improves their appearance and sight; augments their confidence and demeanour; and makes them look innocent and intelligent [12,15,16]. Most psychosocial perceptions to spectacle wear, however, usually results in non-use of spectacles.