Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancement of lifetime using relay nodes in wireless sensor networks

— A major challenge in the wireless sensor network (WSN) is to increase the network lifetime. The area around the sink is known as bottleneck zone. To to enhance the network lifetime, relay nodes may be used to forward the received data. This work decreases the traffic load in bottleneck zone which improves the network lifetime. In this paper transmission power of relay nodes is also varied accordingly. A WSN network comprising of 500 nodes with one PAN coordinator in 100 x100 square meters terrain size has been implemented in QualNet 6.1 simulator. Result shows improved network lifetime and throughtput with reduced average ene-to-end delay, average jitter and packet dropped.
A N OVEL D ECONVOLUTION A LGORITHM FOR I MAGE R ESTORATION

A novel deconvolution algorithm for restoring blurred image is introduced. The proposed algorithm can behave two multi-scale frameworks to restore the fuzzy blurred image. One multi-scale framework is used to optimize whole process containing kernel estimation and deconvolution by incorporating an average difference criterion for evaluating the restored image quality, another is applied to optimize kernel estimation process, which are generated kernels in different sizes. Furthermore, the Expectation Maximization (EM) method is applied to handle outliers in deconvolution process for suppressing ringing effects. The experimental result shows that the proposed method offers an efficient way to estimate and optimize the blur kernel and obtain good results for deconvolution process.
Performance of Spectrum Sensing over Fading Channels and an Energy Efficient Cooperative Spectrum Sensing Scheme for Cognitive Radio

: Cognitive Radio (CR) is a radio communications and networking technology that has recently attracted considerable interest from academia as well as industry worldwide. It follows the design philosophy of Dynamic Spectrum Access (DSA) as opposed to a fixed spectrum allocation policy. The enabling technology for CR is spectrum sensing, which is the inference of presence/absence of primary users (PU) in a given spectral band. Spectrum sensing is complicated by the fading effects of wireless channels, which necessitates CRs to collaborate with one another to make sensing results robust. Another aspect that must be considered in practical CR networks is the energy efficiency of the spectrum sensing process, due to the recent emphasis on 'Green Wireless'. This paper first evaluates the performance of spectrum sensing over different fading channels and shows how collaborative sensing improves robustness. Subsequently, the paper considers an improvement to current techniques for energy efficient spectrum sensing by employing techniques from the field of Compressed Sensing (CS).
Fast Fourier Transform Based Classification of Epileptic Seizure Using Artificial Neural Network

An epileptic seizure, occasionally referred to as a ‘fit’, is defined as a transient symptom of ‘abnormal excessive or synchronous neuronal activity in the brain’. This paper proposed, classification of Epileptic Seizure based on Fast Fourier Transform (FFT). The classification is done by Artificial Neural Network (ANN) ; The FFT based features are extracted as an input to the neural networks. Here for experiment purpose Multilayer Percepron (MLP) and Generalized Feed Forward Neural Network (GFFNN) are used as a classifier. The results show that we are able to achieve 100% accuracy.
P ERFORMANCE A NALYSIS OF VISION - BASED DEEP WEB DATA EXTRACTION FOR WEB DOCUMENT CLUSTERING

Web Data Extraction is a critical task by applying various scientific tools and in a broad range of application domains. To extract data from multiple web sites are becoming more obscure, as well to design of web information extraction systems becomes more complex and time-consuming. We also present in this paper so far various risks in web data extraction. Identifying data region from web is a noteworthy crisis for information extraction from the web page. In this paper, performance of vision-based deep web data extraction for web document clustering is presented with experimental result. The proposed approach comprises of two phases: 1) Vision-based web data extraction, where output of phase I is given to second phase and 2) web document clustering. In phase 1, the web page information is segmented into various chunks. From which, surplus noise and duplicate chunks are removed using three parameters, such as hyperlink percentage, noise score and cosine similarity. To identify the relevant chunk, three parameters such as Title word Relevancy, Keyword frequency-based chunk selection, Position features are used and then, a set of keywords are extracted from those main chunks. Finally, the extracted keywords are subjected to web document clustering using Fuzzy c-means clustering (FCM). The experimentation has been performed on two different datasets and the results showed that the proposed VDEC method can achieve stable and good results of about 99.2% and 99.1% precision value in both datasets.
Physicochemical Properties, Sensory Evaluation and Shelf Life Characteristics of Chia Enriched Yoghurt

Consumers today are showing increased concern about food and health. The nutritional value of food can be improved by enriching with other nutritious products. In Kenya, the demand for yoghurt has been on a constant increase with some processors seek to incorporate artificial and highly processed ingredients such as stabilizers and emulsifiers as additives in order to improve nutritional value, thickening and stabilizing properties. Besides having good gelling properties, chia seeds (Salvia hispanicaL.) have been reported to contain essential nutrients and phytochemicals. This study sought to develop chia enriched yoghurt and determine the physicochemical (pH, total titratable acidity and syneresis), sensory and shelf life characteristics of chia enriched yoghurt (CEY). The treatment involved enriching yoghurt with varied amounts of chia seeds as follows; 1.5% m/v (CEY1.5), 2.5% m/v (CEY2.5), 3.5% m/v (CEY3.5), and corn starch (2%) (CEY0). The results of physicochemical characteristics showed chia seeds had no effect on the pH and titratable acidity values of the yoghurt. From the results of sensory analysis, the panelists preferred the texture, taste, colour and appearance of CEY0 and CEY1.5 over those of CEY2.5 and CEY3.5. In shelf life studies, pH decreased significantly while titratable acidity and syneresis increased significantly during refrigerated storage in both CEY0 and CEY1.5, CEY2.5 and CEY3.5. In conclusion, CEY1.5, CEY2.5 and CEY3.5 showed enhanced physicochemical (pH and titratable acidity) and sensory properties compared to CEY0 thus chia seeds could be a potential ingredient in yoghurt formulation.
Secure Group Communication with Low Communication Overhead using Effective Multicasting

Multicast networking support is becoming an increasingly important future technology area for both commercial and military distributed and Group based applications. Secure Group communication deals with the exchange of information between authorized group members. Security of packets delivered from a source to a large group of receivers presents one of most challenging problem for the network architecture. A majority of proposals for scalable secure multicasting makes use of hierarchal key distribution trees. In this paper we proposed a protocol with a lower communication cost for secure group key management called “N-Sec Cumulative Rekeying Protocol”. The protocol is based upon the use of key trees for secure group and periodic batch rekeying.
Structure Guided Scene Text Recognition

: Scene text recognition has inspired great interests from the computer vision community in recent years. We propose a novel scene text recognition method integrating structure guided character detection and linguistic knowledge. We use part-based tree structure to model each category of characters so as to detect and recognize characters simultaneously. Since the character models make use of both the local appearance and global structure information’s, the detection results are more reliable. For word recognition, we combine the detection scores and language model into the posterior probability of character sequence from the Bayesian decision view. The final word recognition result is obtained by maximizing the character sequence posterior probability via Viterbi algorithm. Experimental results on a range of challenging public data sets demonstrate that the proposed method achieves state-of-the-art performance both for character detection and word recognition.
SINGLE VISIT ROOT CANAL TREATMENT: A REVIEW

The main objective of performing root canal therapy is to eliminate bacteria from the infected root canal system or remove inflamed pulp tissue and close it with a biologically acceptable filling material. If this treatment managed well, regardless of the number of visits, it will create a favorable environment for healing. The recent advances in Endodontic technology, attracts the dental practitioners as well as the Endodontist to perform the root canal treatment in one visit. The question that we consider in this review article focuses on the long term prognosis of one-and multiple appointment endodontic therapy for teeth with vital pulp, necrotic pulp, and apical periodontitis.
Energy Efficient Clustering Based on Expectation Maximization for Homogeneous Wireless Sensor Network

: WSN comprises of large number of nodes deployed over an area that together operate to perform a task. The nodes have sensing, computing and communication features. Since the nodes are constrained in power, energy, computation it is necessary to deal with these efficiently. The main focus is on enhancing the energy efficiency of network and improving its lifetime. This paper includes a new method of lifetime improvement and energy efficiency by changing the way the clustering is done and CHs are selected. Unequal clustering approach is used in which as the distance of cluster from BS decreases the size of cluster also decreases. This helps in balancing the load of the network. Paper includes CH selection using EM-expectation maximization algorithm that gives improved results over LEACH, PEGASIS and PLEACH protocols. Simulation is done in MATLAB and results show that the proposed algorithm has outperformed existing ones by significantly decreasing the energy consumption of nodes and number of dead nodes.
Removal of Rician Noise Removal by Modified Median Filter

: In the Transmission of pictures over channels, Images are debased by salt and pepper commotion, because of defective correspondences. Salt and Pepper clamor is likewise alluded to as Impulse commotion. The target of sifting is to evacuate the driving forces so that the clamor free picture is completely recouped with least flag twisting. The best-known and most broadly utilized non-straight advanced channels, in light of request measurements are middle channels. Middle channels are known for their ability to evacuate motivation clamor without harming the edges. Middle channels are known for their ability to expel drive commotion and in addition save the edges. The compelling expulsion of drive regularly prompts to pictures with obscured and twisted elements. At high clamor densities, their execution is poor. Another calculation to evacuate high-thickness salt and pepper commotion utilizing altered Median Filter is proposed.
Mouse Models of Coronary Artery Atherosclerosis

Atherosclerosis is a chronic disease affecting largeand medium-sized arteries and it is the main underlying cause of cardiovascular diseases. Animal models, particularly mouse models, represent powerful tools to uncover disease mechanisms. Through a combination of genetic and diet manipulation, several mouse models for atherosclerosis research have been developed, with the apolipoprotein E and low-density lipoprotein receptor models being the most widely used. However, these mouse models remain relatively resistant to atherosclerosis development in coronary arteries and development of atherosclerosis related myocardial infarction, key features of human atherosclerotic disease. The discovery that the scavenger receptor class B type 1 acted as a high affinity high-density lipoprotein receptor and the inactivation of its gene in mice allowed for the generation of new models exhibiting either spontaneous or diet-induced occlusive coronary artery atherosclerosis and myocardial infarction. This review will discuss mouse models of coronary heart disease, highlighting their characteristics and focusing on those dependent on scavenger receptor class B type 1 deficiency.
BAOJ Palliative Medicine

BAOJ Pall Medicine, an open access journal Volume 3; Issue 5; 046 Opinion What We Know About Cancer Related Fatigue in Cancer Cured and Metastatic Patients in Our Daily Practice Dr Abhishek Purkayastha1*, Dr Neelam Sharma2, Dr Rekha Vashisth2 and Dr Nishant Lohia3 1Department of Radiation Oncology, Command Hospital (Southern Command), Pune, India 2Department of Radiation Oncology, Army Hospital (Research and Referral), New Delhi, India 3Department of Radiation Oncology, Command Hospital (Central Command), Lucknow, India
Personalized Micro Blog Recommendation Using Sentimental Features

--Recently, microblogs have emerged as a new open channel of communication for people on the Internet to read, commentate, socialize and so on. With the advent of a huge number of information in microblog spaces, including articles, profile, pictures and other multimedia resources, the “information overload” has become a critical problem for microblog users, which brings bloggers plethora of choices and options available that often varies in quality and may severely affected the recommendation quality. Accordingly, providing microblog users with articles that suit their particular preferences is an important issue. To solve this problem, this paper proposes a novel method integrating social network information and collaborative filtering. A user ranking model based on social network analysis is constructed to estimate the correlations between microblog users, and incorporated into similarity measure for improving the quality of microblog recommendation. Experiments on a real-world dataset are carried out to evaluate the performance of the presented method. The results show that the proposed method outperforms traditional KNN method and improves recommendation quality effectively.
Secure Data Sharing Encryption Schemes in Cloud Storage: A Review

- A model based on cloud computing wherein data is being accessed from the cloud and through the internet without any direct affiliation to the server. The services of cloud can be accessed as long as the internet service is accessed. In this paper, survey on many schemes like Key-Policy Attribute-Based coding, Cipher text-Policy Attribute-Based coding, Cipher text Policy Attribute Set primarily based coding, Fuzzy Identity-Based coding, gradable Identity-Based coding, gradable Attribute-Based Encryption and gradable Attribute-Set-Based Encryption for access management of outsourced information are mentioned.
ANTIHYPERLIPIDEMIC EFFECT OF VESTIBULAR STIMULATION IN WISTAR ALBINO RATS

Currently, a number of synthetic anti-obesity drugs are available and are effective but with associated side effects. Therefore, alternative therapies with minimum or no side effects are eagerly needed. The present study was under taken to provide preliminary evidence for antihyperlipidemic effect of vestibular stimulation and to develop effective treatment for obesity and related metabolic diseases. A total of 24 male rats are divided into 4 groups with 6 rats in each group by simple random sampling. Hyperlipidemia was induced by high fat diet. Caloric vestibular stimulation was applied by instilling warm (40 0C) or cold (30 0C) water into external ear. Total cholesterol, triglycerides, HDL and LDL was recorded before and after vestibular stimulation. Our study provides experimental evidence for beneficial effects on total cholesterol, triglycerides, high density lipoprotein and low density lipoprotein levels by caloric vestibular stimulation. However further neurological and biochemical investigations are recommended to clearly elucidate the mechanism of action to introduce vestibular stimulation as a therapy for metabolic disorders
Brief Review on Cloud Computing

: Cloud Computing has become a scalable services consumption and delivery platform in the field of Services Co mputing. The technical foundations of Cloud Computing include Service-Oriented Architecture (SOA) and Virtualizations o f hardware and software. Cloud computing is the development of parallel computing, distributed computing, grid computing and virtualization technologies which define the shape of a new era. Cloud computing is an emerging model of business com puting. In this paper, we explore the concept of cloud architecture and compares cloud computing with grid computing. We also address the characteristics and applications of several popular cloud computing platforms. In this paper, we aim to pinp oint the challenges and issues of cloud computing. We identified several challenges from the cloud computing adoption pers pective and we also highlighted the cloud interoperability issue that deserves substantial further research and development. However, security and privacy issues present a strong barrier for users to adapt into cloud computing systems. In this paper, we investigate several cloud computing system providers about their concerns on security and privacy issues. The goal of Cloud Computing is to share resources among the cloud service consumers, cloud partners, and cloud vendors i n the cloud value chain. The resource sharing at various levels results in various cloud offerings such as infrastructure clou d (e.g., hardware, IT infrastructure management), software cloud (e.g. SaaS focusing on middleware as a service, or traditio nal CRM as a service), application cloud (e.g., Application as a Service, UML modeling tools as a service, social network as a service), and business cloud (e.g., business process as a service)
Co-infection of Malaria and Typhoid Fever in Feverish Patients in the Kumba Health District, Southwest Cameroon: Public Health Implications

Aims: This study was aimed at generating updated baseline data on co-infection of malaria and typhoid fever and finding out the implications of these co-infections in disease severity. Study Design: The study was cross-sectional. Original Research Article Ndip et al.; IJTDH, 9(4): 1-11, 2015; Article no.IJTDH. 18935 2 Place and Duration of Study: The study was carried out in Kumba, Southwest Cameroon from May to July, 2010. Methodology: Venous blood was collected from 206 febrile patients of both sexes aged 4-80 years old at the Kumba District Hospital. Malaria parasite density and speciation were determined using Giemsa-stained thick and thin blood films respectively. Typhoid fever was diagnosed by isolation and characterisation of the aetiologic agent from stool samples in 178/206 patients. Antimicrobial susceptibility of recovered isolates was determined by the disc diffusion method. Anaemia status, Alanine aminotransferase (ALT) and Aspatate aminotransferase (AST) values were determined. Results: Overall malaria prevalence was 90.3% (186/206) while geometric mean parasite density (GMPD) was 866 (range: 40 – 64880) parasites/μL of blood. Plasmodium falciparum was the most prevalent Plasmodium species. Overall prevalence of typhoid fever was 7.9% (14/178) while malaria/typhoid fever co-infection rate was 6.74% (12). Of the 14 typhoidal Salmonella isolates recovered, 6 were identified as Salmonella typhi and 8 as S. paratyphi. The Salmonella isolates were all susceptible to ciprofloxacin and gentamycin. Patients co-infected with malaria/typhoid fever had a significantly higher (P = .007) GMPD (1203, range: 100-64880 parasites/μL) when compared to patients with mono-infections of malaria (774, range: 40-18660 parasites/μL). Abnormal ALT and anorexia prevalence values were significantly higher (P=.01 and P =.045 respectively) in patients with only typhoid fever than their counterparts. The values of anaemia and AST were comparable in all groups of patients. Conclusion: This study confirms that co-infections of malaria and typhoid fever are common and may exacerbate malaria intensity.
A Wideband H Shape Dielectric Resonator Antenna for Wireless MIMO Systems

64 Abstract— The present work deals with the design of a wideband Hshaped Dielectric Resonator Antenna (DRA) that can be used for wireless MIMO systems. The proposed antenna resonates at a dual band of 6.26 GHz and 15.2 GHz giving an impedance bandwidth of 119%. A 2×2 MIMO system is developed by using the proposed antenna resonating at a dual band of 6.35 GHz and 15.53 GHz with an impedance bandwidth of 119% and a mutual coupling of -21dB and -25 dB at the operating frequencies. The developed antenna system can be widely used for the 4G and WiMAX applications.
Antioxidant Activity, Total Phenolic Content, and GC-MS Analysis of the root of Kawilan (EmbeliaphilippinensisA. DC.)

The root of “kawilan” (Embeliaphilippinensis) is known by the Talaandig tribe of Bukidnon, Philippines to cure tumors, cysts, and few types of cancer yet it lacks scientific authentication of its medicinal properties. In the present study, the antioxidant activity of aqueous and methanol extracts of E. philippinensis roots was evaluated by determining the free radical scavenging activity using 2,2 diphenyl-2-picrylhydrazyl hydrate (DPPH)assay method and substantiated by total phenolics content (TPC) by Folin-Ciocalteu’s assay method. GC-MS analysis of methanol extract was also performed to identify the specific semi-volatile chemicals present. Both aqueous and methanol root extracts showed high DPPH inhibition activity at high concentrations. However, the aqueous root extract of E. philippinensis showed higher DPPH inhibition activity than methanol root extract. The TPC assay showed higher phenolics content on the methanol extract. Furthermore, GC-MS analysis revealed the presence of bioactive compounds with known antioxidant properties: (a) 9,12octadecadienoic acid, methyl ester, (b) eicosane, (c) hexadecane (d) hexadecanoic acid, methyl ester, (e) 9, 12, octadecatrienoic acid, (Z,Z), (f) 9, 12, 15octadecatrienoic acid, (Z,Z,Z), (g) n-hexadecanoic acid, (h) squalene, (i) phenol, 2,4-bis (1,1-dimethyl), and (j) 1,2-benzenedicarboxylic acid, bis (2-methylpropyl) ester. Results indicate that E. philippinensis possesses antioxidant properties, which may account for its folkloric medicinal uses.
Macroeconomic Cause-Effect Analysis of Government Debt on Interest Rates in Malawi

This paper analyzed macroeconomic factors that affect the level of interest rates in Malawi for the period 1970 to 2010. Particularly the study aimed at investigating whether the stock of domestic debt led to particular levels of interest rates. The study found a negative and statistically insignificant relationship between total domestic debt and interest rates. On the other hand, interest rates in Malawi seem to depend much on the level of the Bank Rate which is the rate at which financial institutions borrow from the central bank as a lender of last resort. According to the results, increasing the bank rate by 1% was associated with a more than 1% increase in interest rates. In terms of policy therefore, recommend that the Reserve Bank of Malawi should lower the level of the Bank Rate so that private lending institutions can also lower their lending rates. This is the only way that will make credit not only accessible but also affordable which will end up increasing investments and consumption expenditure, the engine of economic growth and development. Key Words: Interest rates, government expenditure, deficit financing, borrowing.