Miracle-dz/UniFAR-FTUs huggingface dataset:
Community-based hygiene education to reduce diarrhoeal disease in rural Zaire : a prospective, longitudinal study.

A randomized, controlled t r ia l of an educational intervention to improve personal and domestic hygiene practices and to reduce diarrhoeal morbidity was conducted in Bandundu, Zaire. Oiarrhoeal histories of 2082 weaning aged children liv ing in 18 v illa g e clusters (s ite s ) were obtained between October and December 1987, and structured observations of hygiene behaviours associated with food preparation, meal sharing, child feeding, child defecation, and yard cleanliness were made in 300 randomly selected sentinel fam ilies. 17)18 baseline information was used to design a non-formal educational intervention. The intervention was implemented by trained community volunteers for 6 months beginning in July 1988. A second diarrhoeal and second observational study were conducted between October and December 1988, in order to evaluate the intervention. After the intervention, children in intervened s ites had an 11% lower risk of diarrhoea (p<.025), fewer days of diarrhoea (p<.025), and shorter durations of episodes (p=.04) than control children, and the largest differences were among children aged 24-35 months. Diarrhoeal reductions were positively associated with community volunteer performance and hence, intervention qua lity , in a l l s ite s . Hygiene practices, post-intervention, were sign ificantly better among intervened compared to control sentinel fam ilies. Preventive behaviours were practised much more frequently a fte r the intervention than before, in both study groups, however the improvements among intervened fam ilies were substantially greater, leading to the conclusion that the intervention was responsible for about a 10% reduction in bad behaviour. Behavioural improvements were positive ly associated with diarrhoeal reductions, a fter controlling for child
An User Aware Article-Article Recommendation System Using Hierarchical Clustering

A rapid emergence in big scholarly data and development in information technology has let the researchers to search preferred articles . This becomes a major challenging issue due to information overloaded problem. Further performing literature survey for scholarly articles has become a challenging task. Especially for junior researchers it becomes a time consuming task due to rapid growth in scientific articles. This requires intelligent algorithms for searching and navigations. Hence an automatic recommendation of cited articles has been provided. In existing approaches citation recommendation are provided based on full article or the citation context is taken as input. Researchers for having survey of papers quickly and to have a broad view of given topic a keyword based approach is used as the search query that provides important cited articles. Graph based article ranking are done based on vertex reinforced random walk (VRRW). Further hierarchical clustering is done to provide recommendation selection for three sets of user (user list). I. A recommendation engine, also known as a recommender system, is software that analyzes available data to make suggestions for something that a user might be interested in, such as a book, a video or a job, among other possibilities. An engine, in a software context, is a
Long Term Exposure to Some Heavy Metals Induce Oxidative Stress in Humans

Heavy metals are leading toxic agents detected in the environment. These have carcinogenic and cell-transforming potential. Occupational and environmental exposure to heavy metals causes toxicity in living organisms. Interaction between air pollutants and living tissues may cause disturbance of pro-oxidants and anti-oxidants in body. The red blood cells are exposed to damage induced by ROS leading to inhibition of heme biosynthesis. The body is protected against oxidant injury by antioxidant enzymes such as glutathione peroxidases (GPx), superoxide dismutases (SODs), and catalase as well as other antioxidants. Industrialization is fulfilling human demands at the cost of human health thus causing adverse effects on human population and ecosystem. Keeping this in view human serums were used as bioindicators of metal toxicity. Serum of group of workers from electroplating industries (25) and glass bangle making industry (25) were analysed for their antioxidant levels. Serum of healthy subjects served as control. GPx activity was measured by method of Paglia and Valentine (1967). SOD was assayed by the method of Beauchamp and Fridovich (1971). Serum levels of Alpha -1 antitrypsin (an enzymatic biomarker of oxidative stress) were also analysed in control and exposed group. Alpha-1 antitryptic activity was measured by method of Waheed and Salahuddin (1975). The results indicated that prolonged exposure to heavy metals such as nickel, cadmium and lead caused adverse health effects. This was due to induction of oxidative stress. The level of Alpha-1-antitrypsin was slightly raised in diseased subjects as compared to healthy controls.
Design & Analysis of High-Gain DC–DC Converter for PV System Architecture

Abstract: The number of large-scale solar photovoltaic (PV)systems continues to increase, while the size of the largest systems has already reached several hundred megawatts. This trend will challenge existing PV system architectures and will require newPV system architectures with higher power ratings and higher voltage levels at the point of common coupling (PCC). This paper reports a medium-voltage (MV) dc-bus PV system architecture based on a high-gain soft-switched interleaved boost (SSIB) dc–dcconverter. The interleaved characteristic increases the flexibility of the converter, allowing for either a higher voltage and/or current rating, thus increasing the power rating of the converter. Thehigh-gain capability of the SSIB converter allows it to be connected directly to an MV dc bus. This will facilitate direct connection of aPV system to an MV ac grid (i.e., 20 kV) using only one step-up transformer. Simulation and experimental results are presented to verify the operation of the SSIB converter and to confirm thesteady-state and dynamic performance of the proposed PV system architecture.
TO STUDY THE TREATMENT PATTERN, OUTCOME AND ADVERSE DRUG REACTIONS OF ANTICANCER DRUGS IN LUNG CANCER PATIENTS IN TERTIARY CARE HOSPITAL

Background: Lung cancer is an important cause of cancer related deaths worldwide. There are few reports available from southern India on treatment pattern and outcome for lung cancer. Objective: To study the treatment pattern, outcome and adverse drug reactions of anticancer drugs in lung cancer patients in tertiary care hospital. Materials and methods: Data of all patients who diagnosed with Lung cancer between the years of January 2012 to December 2013 were collected. Only patients who received at least two cycles of chemotherapy were eligible for assessment of outcome parameters. Results: During the study period 298 patients were enrolled. The mean age of the study population was found to be 58.93 ± 10.17 years. The gender ratio in our study was showed a male preponderance at 4:1. The prevalence of lung cancer was more common in male patients when compare to females. 112 patients were eligible for the evaluation of outcome. The median PFS, OS were found to be 8 ± 1.45 months, 10± 1.74 months respectively. Patients who were treated with palliative chemotherapy (second generation platinum doublet) showed more survival (21.63±4.3 months) when compare to patients treated with only induction chemotherapy or maintenance chemotherapy. In Kaplan Meier survival analysis the variable like palliative chemotherapy, maintenance chemotherapy, response after maintenance chemotherapy, metastasis, laboratory parameters like haemoglobin (12.3mg/dl before chemo and 11.1mg/dl after chemotherapy) were showing significance with OS and PFS. On multivariate analysis, only second generation platinum doublets as palliative chemotherapy (p= 0.036) was significant. 51.8% of the lung cancer patients who were received chemotherapy developed adverse drug reactions. WORLD JOURNAL OF PHARMACY AND PHARMACEUTICAL SCIENCES SJIF Impact Factor 6.041 Volume 5, Issue 11, 1566-1585 Research Article ISSN 2278 – 4357 *Corresponding Author
Remote Sensing Image Compression using Two Dimensional Dual Tree Complex Wavelet Transform with Fuzzy Inference Filter

Background: The real-time remote sensing image provides an evolution in compression approaches in both the practical and theoretical value. With the basic characteristics like statistical analysis and decomposed image, a significant compression technique has been developed for remote sensing image of the sub-image. Material and Methods: To aid remote sensing image compression, a compression algorithm named 2D-Dual TreeComplex Wavelet Transform (2D-DT-CWT) is proposed. Three directions are considered for analysis of image, i.e. vertical, horizontal and diagonal. Here, for the intention of image compression, transform direction based on geometric curve is measured. A method named Fuzzy Inference Filter (FIF) is utilized for to compute the entropies of sub band coefficients. To encode the wavelet coefficient a Context-adaptive binary arithmetic coding (CABAC) through Lattice Vector Quantization (LVQ) is offered. Result: The experimentation shows that the 2D-DT-CWT provides a improvement in remote sensing images particularly in transform coding gain with high resolution. Conclusion: The comparative study on the existing 2-D Oriented Wavelet Transform (2D-OWT) and JPEG2000 is made. Added, the memory required for operational process is lesser and the new compression technique is simpler.
ANALYSIS AND STUDY OF MATHEMATICAL MODELS FOR RWA PROBLEM IN OPTICAL NETWORKS

- Blocking probability has been one of the key performance to solve Routing and Wavelength Assignment problem (RWA) indexes in the design of wavelength-routed all-optical WDM networks. To evaluate blocking probability different analytical model are introduced. Simulation results on different network topologies and routing policies considered demonstrate that the simulation results match closely with the blocking probabilities computed by our methods for different multiclass call traffic loading scenarios.
Study of maxillary and mandibular cystic lesions

Poster: "ECR 2013 / C-1428 / Study of maxillary and mandibular cystic lesions" by: "M. L. Rozas Rodriguez1, M. E. Banegas Illescas2, M. Y. Torres Sousa2, R. M. Fernandez Quintero2, R. Quintana de la Cruz2, R. Ruiz Martinez2; 1Ciudad Real /ES, 2Ciudad Real/ES"
THE IMPACT OF E-ENABLED BANKING SERVICES ON CUSTOMER LOYALTY: EVIDENCE FROM THE SRI LANKAN CONTEXT

The new information technology is becoming an important factor which determine the development and the success of financial services industry, and especially banking industry. Therefore, the realm of telecommunication and information technology streamline the banks to build loyalty among their customers. The purpose of this work is to empirically investigate comprehensive mechanism of an earlier study by Gunaratnam, Kajenthiran, Ratnam
Development of Computer Vision based Windshield Wiper Control System for Automobiles

– Windshield wipers play a key role in assuring safety and comfort to the driver in the adverse weather conditions. For various automotive applications, it is necessary to recognize adverse weather conditions like fog, rain, snow etc. as it is measure cause for accidents. Among all these raindrop detections is a quite challenging task. This paper discusses the present wiper control system based on Computer Vision. The system is implemented on Embedded Linux platform with Computer Vision based raindrop detection using OpenCV library in Python. The system is designed using Embedded Linux development board. In this system, a camera captures images of the windshield of automobiles. The information of captured scene is processed using OpenCV. Raindrop detection is achieved by various techniques of the computer vision and image processing. The information of raindrop distribution is further used for wiper control. According to the percentage of occupation of raindrops, PWM is selected to control the motor
THE HIGHWAY TRAFFIC BY USING THE EFFECT OF PLACE-TIME HEADWAYS ON PERFORMANCE OF DRIVERS MANSOORRAFIEE

Traffic flow characteristics depend on driver behaviors, vehicles characteristics, physical properties of the way, and interaction of these factors. In such a way that even if the vehicles crossing and geometrical characteristics of the paths are same, traffic flow characteristics will not be same due to the difference of passing drivers. Although various models have been proposed to forecast the traffic flow characteristics from 1934 until now, the most appropriate model representing the relationship between parameters of traffic is still controversial. This is mainly due to the difference in behavior of vehicle drivers according to conditions on the paths. This article analyzes the behavior of traffic flow based on native data of the flow with an emphasis on Khi 2 (two) model for Khorram-Khayyam highway in Isfahan. To this end, the place and time headwayswere examined at different hours after collecting the data related to vehicles and classified by the EXCEL software, and generalized with SPSS software. Then, the obtained data was analyzed by using the MATLAB software, and the effect of headways on traffic flow was investigated through obtained results and its comparison with the Highway Capacity Manual (HCM) [1].
Low Power Multiplier to Reduce Switching Activities Using Bypassing Technique

Multipliers and adders are the basic circuits required for implementing any Arithmetic and logic functions in VLSI. Many of the real-time applications like the arithmetic operations in Microprocessor, the filter designing in Signal processing require the multipliers. As the multipliers play a major role in the VLSI designing the power consumption related to them is a parameter to be thought of. To achieve such power reduction, modifications are made to conventional multiplier architecture and low power multiplier architecture is proposed using a technique called bypassing in this work. This proposed architecture removes the unnecessary switching activities responsible for power consumption and also eliminates unnecessary iteration done in the conventional multiplier whenever a zero is encountered in the multiplier.
Integration Bat Algorithm with k-means for Intrusion Detection System

Intrusion detection is a new network security mechanism for detecting, prevent-ting, and repelling unauthorized access to a communication or computer network. Intrusion detection systems (IDS) play a crucial role in maintaining a safe and secure network. One technical challenge in intrusion detection systems is the curse of high dimensionality. To overcome this problem, we propose a feature selection phase, which can be generally implemented in any intrusion detection system. In this work bat algorithm with k-means integrated to improving Intrusion Detection System accuracy. Experiments on KDD Cup 99 data set address that our proposed method results in detecting intrusions with higher accuracy, especially for remote to login (R2L) and user to remote (U2R) attacks.
A Gaussian Feature Adaptive Integrated PCA-ICA Approach for Facial Recognition

: Facial Recognition can be used as the online and offline recognition system. But because of the integrated challenges, this recognition system requires lot of work to improve the efficiency and accuracy. In this work, a feature adaptive hybrid model is defined to perform the facial recognition. The work is here divided in three main stages. In first stage, the structural information extraction is performed using Gaussian filter. Later on the PCA is applied to perform the structural frequency map and energy analysis. This PCA will elect the effective mapped set of images with threshold specification. In final stage of this work, ICA is applied to perform the facial recognition on selected image pool. The ICA is based on the feature moment analysis to identify the maximum mapped facial object. The experimentation result shows that the work has provided the accuracy more than 95%.
Personalized Movie Recommendation System with User Interest in Social Network

Recommender systems have grown extremely in day to day life, and it is very useful in a plenty of applications. Although the recommender system is very popular, there are some serious problems like cold start (unavailability of data for modeling algorithms) and sparsity (initial rating not available). This made people to step back in analyzing the functionality of those algorithms which leads to little decrease in creativity and optimizations in data mining algorithms and recommendation system. With the changed people and excessive growth of social network, people are accepting to share their personal interests via ratings, reviews, and likes on social networks like facebook, twitter etc. To recommend user interested movie and to solve the cold start and sparsity problem of input data, we develop Personalized Movie Recommendation System (PMRS). In PMRS model we used personal interest, similarity interest, and trust value to forms an optimized method of recommendation system.
An Editorial on Optical Coherence Tomography Angiographic (OCTA) Findings in Polypoidal Choroidal Vasculopathy (PCV)

Yanuzzi. , et al. in 1990 described the orange pink polypoid lesions in the peripapillary and macular area with underlying abnormal choroidal vascular network as idiopathic polypoidal choroidal vasculopathy (IPCV) [1]. Later on, multiple authors performed studies to evaluate these abnormal choroidal branching vascular networks (BVN) and described the clinical features, imaging findings and treatment modalities of polypoidal choroidal vasculopathy (PCV) [2,3]. PCV is more common among the pigmented ethnicities such as Asians and Africans than the Caucasians and can present as exudative maculopathy, hemorrhagic serous macular detachment [2,4,5]. Various clinical manifestations of PCV are orange-red polypoidal lesions, pigment epithelial detachment (PED), serous subretinal fluid (SRF), hemorrhagic PED’s, massive subretinal hemorrhage, and/or exudative detachment [2,4,5]. PCV can be mistaken clinically for the occult choroidal neovascularisation (CNV) of age-related macular degeneration (ARMD) and chronic central serous chorioretinopathy (CSCR) [6,7]. There are recent advances in the imaging technology of retino-choroidal pathology that describe precisely the vascular changes of PCV from wet ARMD. PCV can be differentiated from CNV of ARMD and CSCR by indocyanine green angiography (ICGA). ICGA is the gold standard test to diagnose the choroidal polyps of PCV. PCV if not diagnosed and treated properly can lead to permanent visual deterioration due to the damage to the retinal pigment epithelium (RPE), hemorrhage, disciform scars through chronic progression [6,7]. The major study which was performed to describe these lesions was EVEREST study followed by many studies [2].
Percutaneous endovascular RFA for portal vein thrombus recanalization - concept and early results

Poster: "ECR 2013 / C-0440 / Percutaneous endovascular RFA for portal vein thrombus recanalization - concept and early results" by: "M. Mizandari1, N. Habib2, G. Ao3, Y. Z. Zhang2, X. Feng2, W. Y. Lau4, J. Nicholls2; 1Tbilisi/GE, 2London/UK, 3Beijing/CN, 4Shatin, New Territories/CN"
Research on Diagnostic Value of Real-Time PCR in Comparison with Culture Method to Detect Agents for Sepsis

Introduction: Rapid detection of the pathogens and to start antibiotherapy accordingly affect the mortality rate in sepsis. The aim of the present study was to determine the effective microorganisms in blood samples of the patients who are admitted in intensive care units of our hospital and have suspicion for sepsis and to reveal the rates of sepsis. Methodology: The present study was performed prospectively through the blood samples of the patients with preliminary diagnosis of sepsis sent to the microbiology laboratory. Sepsis panel was studied from the patients whom blood culture has been sent. Blood culture was taken into BacT-Alert (Biomerieux) full automated blood culture system. Vitek2 (biomerieux) full automated bacteria identification system was used to identify the bacteria.Presence of bacterial DNA molecularly was analyzed with multiplex real-time PCR (LightCyler SeptiFast, Roche Diagnostics). Results: In our study, sensitivity of Real-time PCR method was detected as 50%, specificity was detected as 77%, positive predictive value (PPV) was detected as 53.1%, negative predictive value (NPV) was detected as 75% when compared with blood culture. Conclusions: Although molecular tests are rapid and sensitive, they would not replace with conventional blood culture due to lack of antimicrobial resistance data, limitation of number of target pathogens and high costs. Improper antibiotic treatment, antibiotic resistance is caused to occur in the intensive care units (ICUs). Therefore, when combined with blood culture, molecular analysis will provide an urgent and appropriate antimicrobial treatment.
Voiced/Unvoiced Classification by Hybrid Method Based On Cepstrum and EMD

: This paper introduces an enhanced cepstrum and EMD based hybrid method for the voiced/un-voiced (V/UV) classification by simulation using MATLAB. Voicing choices are made utilizing a feature voiced/unvoiced characterization calculation taking into account factual investigation of cepstral peak, energy and zero crossing rates. Execution investigation on an extensive database shows in terms of classification accuracy and error. This algorithm is likewise appeared to be robust to large verity of voiced signals as compared to traditional cepstrum and EMD based classifiers.
CURRENT TRENDS ON FACE RECOGNITION METHODS IN FACE BIOMETRICS

: Like all biometrics solutions, face recognition technology measures and matches the unique characteristics for the purposes of identification or authentication. Often leveraging a digital or connected camera, facial recognition software can detect faces in images, quantify their features, and then match them against stored templates in a database. Facial recognition doesn’t just deal with hard identities, but also has the ability to gather demographic data on crowds. This has made face biometrics solutions much sought after in the retail marketing industry. In this paper , we presented a comprehensive review of Face recognition system and the face datasets used in the face biometric.