Miracle-dz/UniFAR-FTUs huggingface dataset:
DFT and TDDFT of mechanism in radical polymerization

October December 2016 2617 JCPS Volume 9 Issue 4 DFT and TDDFT of mechanism in radical polymerization Salima Zekri, Nadjia Latelli, and Nadia Ouddai 1 Departement de chimie, Universite Larbi Ben M’hidi, Oum El-Bouaghi – 04000, Algeria Laboratoire de chimie des materiaux et des vivants, activite, reactivite, Universite Hadj Lakhdar, Batna 05000, Algeria Departement de chimie, Universite de Msila, BP 166 Ichbilia, 28000 M’sila, Algeria *Corresponding author: E-Mail: ouddai_nadia@yahoo.fr ABSTRACT The reaction mechanisms; involved by thionocarbonates (O-(C=S)-O) and thionoesters (Z-(C=S)-O) compounds in reversible addition fragmentation chain transfer (RAFT) polymerization; were analyzed. Theoretical calculations were carried out by means of density functional theory (DFT), at B3LYP / 6-31G (d). Two molecules of compounds detected intramolecular charge transfer (CT) band in absorption spectra which have been simulated using the Time dependent density functional theory (TDDFT). The lowest excitation energies (Egap) and the maximal absorption wavelength (max) of molecules are carried out at the optimized geometries of the ground states.
Prevalence and risk factors of lower reproductive tract infections among women in an Urban Area of China

This study aimed to investigate the prevalence of lower reproductive tract infections (RTIs) and the influential risk factors among Chinese women from the poorest families. A face-to-face interview and a gynecological examination were performed for 848 Chinese women from the poorest families. The prevalence of lower RTIs among the poorest women was 53.80%, and cervix presented the most prevalent cite of lower RTIs (46.93%). Women with lower education level [odds ratio (OR) = 1.49, 95% confidence intervals (CI) 1.09-2.04] and under unemployment (1.47, 1.07-2.01) were associated with significantly increased risk of lower RTIs after adjustment for other covariates. High prevalence of RTIs was associated with low education and unemployment status and perceived poverty was the main reason for not seeking medical consultation for reproductive problems. Specific reproductive health educational promotion programs and adequate services should be offered to this group of disadvantaged women from the lowest socioeconomic class.
Exemplar-Based Image Inpainting Technique using Image Partitioning (Search Region Prior) Method

Exemplar based image inpainting is a combine effect of texture and structure syntheses. This technique can be applicable by applying Basic traditional method (Criminisi algorithm) Patch shifting scheme, Search region prior method. Criminsi’algorithm is based upon isophote-driven image sampling process, gives better image quality but require more time to inpaint damage region. Sarawut’s patch shifting scheme, shift the target patch towards source region having more information related to missed region, PSNR improved but time requirement is more than criminsi’s method. After analyzing, both above given method, proposed method based on K-means clustering reduced time complexity and improve image quality also
A Survey on Internet of Things approach for Smart Eco-System

: The Internet of Things (IoT) can be incorporated clearly and seamlessly in a large number of heterogeneous end systems, by providing access to data for large number of digital services. The main focus here is on urban IoT system and smart home control system which supports the Smart Eco System vision, using the most advanced technologies as 5G, Artificial Intelligence via pervasive computing ,Cloud of things(CoT) and Internet of things. The IOT supports “Ubiquity” where devices connected anywhere, anytime, with anything and anyone. The word “smart” Smart city means using sensitive information and Communication Technology(ICT). The real-time human behaviors and activities and can be determined by personal devices as smart phones ,Wearable computing devices, smart home and smart city called as Human Dynamics. The capability of the Big Data and Smart Cities will increase quantitative and qualitative perceptive towards the human behaviors. A Non Parametric Bayesian model can be used to open up themes and scaling up in metropolitan living. This Survey is a combination of Smart home control system, Smart city , determining Human Dynamics, Data privacy and Security leading to a Smart Eco system.
Synthesis of cadmium sulfide thin films from an aqueous solution containing sodium citrate

The cadmium sulfide (CdS) films were prepared on glass substrates by chemical bath deposition method using aqueous solutions of cadmium chloride, thiourea, sodium citrate (complexing agent) and ammonia (pH regulator). A theoretical calculation of the boundary conditions of the formation of cadmium sulfide and cadmium hydroxide in the citrateammonia system was performed in this work. The composition, structure, optics and morphology of the synthesized CdS semiconductor films were experimentally investigated. The obtained films are two-phase and consist of CdS in both sphalerite and wurtzite modifications. They have a homogeneous solid surface, a practically stoichiometric composition and a narrow interval of the change of optical band gap. The quantumchemical modeling of possible chemism of the CdS synthesis was performed. According to the results of the calculation, cadmium sulfide is formed from the initial cadmium citrate complex via the formation of several intermediate complexes. An analysis of the obtained experimental results allows finding the relationship between the deposition conditions and properties of the prepared semiconductor films, revealing the advantages of the use of sodium citrate as a complexing agent and determining the expediency of its application.
Sentiment analysis of Twitter data: A machine learning approach to analyse demonetization tweets

- With 500 Million Tweets sent each day, that is 6000 Tweets being generated every second, Twitter is the most popular micro-blogging site that allows users to express their views and opinions in 280 characters. As companies and political leaders take to the online social media platform to establish and develop their brand, one cannot ignore the amount to data being generated on Twitter. The proposed system aims to extract and analyse tweets, classify them as positive or negative with the help of machine learning techniques and algorithms, and finally subject to performance evaluation techniques. On November 8, 2016, in a television broadcast, Prime Minister Narendra Modi declared that all the 500 and 1000 rupee notes were illegal in an effort to curb black money and fake notes. Considering the demonetization dataset extracted from Twitter using Twitter API, pre-processing is performed using NLTK and Scikit-learn, which is then subjected to algorithmic executions such as Naive Bayes, Logistic Regression and Support Vector Machines. A comparison of this execution is considered to determine which algorithm works better for given dataset in terms of precision, recall, accuracy and F1 Score.
A REVIEW ON DIFFERENT APPROACHES FOR HUMAN FACE RECOGNITION

Face recognition has been a very active research area in the field of Biometric. Face recognition by the human being is a complex task and to simulate this task by computer, a number of studies have been extensively done in the last two decades. Many algorithms have been developed in order to make computer system, recognize a human face. But human face is quite complex and have a number of attributes and these attributes changes with the time. It is widely accepted that face recognition may depend on both componential information (such as eyes, mouth and nose) and non-componential/holistic information (the spatial relations between these features), though how these cues should be optimally integrated remains unclear. In this paper, we have taken a view of different approaches used for face recognition system in the last two decades.
Image Segmentation Techniques Image Segmentation Techniques Image Segmentation Techniques Image Segmentation Techniques forforforfor Medical Images Medical Images Medical Images Medical Images

- Image segmentation is the process of partitioning an image into multiple segments, so as to change the representation of an image into something that is more meaningful and easier to analyze. Several general-purpose algorithms and techniques have been developed for image segmentation. This paper describes the different segmentation techniques used in the field of MRI Image Processing. This paper investigates and compiles some of the technologies used for image segmentation.
Application of Data Hiding in Audio-Video using Advance Algorithm

Steganography means a method for hiding secret information for example password, text or image inside a cover file. The existing system provides audio-video crypto-steganography which is the combination of image steganography and audio steganography using forensics technique as a tool to authentication. Our aim is to hide secret data in the audio and image of a video file. Video has so many still frames of image and audio, we can select any frame for hiding our data. Video data hiding is a very important research topic. We propose a new video data hiding method that makes use of correction capability of repeat accumulate codes and superiority of forbidden zone data hiding (FZDH). FZDH is used for no alteration is allowed while data hiding process.
Color Matching for Mobile Panorama Image Stitching

— This paper presents an efficient approach to implementation of the image stitching process with a view to address the reduction of processing time which is a concern for the current day mobile users when going for panoramic image generation. The images being matched for panorama creation are overlapped using a basic process of finding matching key-points after which color correction and blending algorithms are applied to bridge up the differences between adjacent images to be stitched together. This work demonstrates how an approach using SIFT followed by RANSAC algorithm can be speeded up by exploring some basic features of the process. Two approaches are proposed for speed up – fast approach and reduced approach for handling the keypoint to speed up the operation The proposed approach can be expanded for any process used for identifying key-points and is simple and is very effective. This work demonstrates that optimizing the key-points identification process between neighboring images can give up speed up in the range of 23 to 28 % for the overall process.
Stability-Indicating RP-HPLC Method for the Determination of Ezogabine and Identification of Its Degradation Products

In this stability-indicating, reversed phase high performance liquid chromatographic method for Ezogabine, forced degradation has been employed and the formed degradants were separated on a Enable C18 column with a 40:60% v/v mixture of water containing 0.1% (v/v) triethylamine; the pH was adjusted to 8 with ortho phosphoric acid(OPA):methanol. The flow rate was 1 mLmin−1 and the photodiode array detection wavelength was 221 nm. A sharp peak was obtained for Ezogabine at a retention time of 10.2 min. Forced degradation studies was carried out under acidic, basic, thermal, photolytic and oxidative conditions. Chromatographic peak purity data indicated no co-eluting peaks with the main peaks. This method resulted in the detection of two degradation products. Two major degradation products from acidic and basic hydrolysis were identified and characterized by H-NMR, Bruker Alpha-T IR and mass spectral data. The method was validated as per International Conference on Harmonization guidelines (Q2). Linear regression analysis data for the calibration plot showed there was a good linear relationship between response in the concentration range of 5 to 25 μg mL with regression coefficient of 0.999. The relative standard deviations for intra and interday precision were below 2%. The specificity of the method is suitable for the stabilityindicating assay.
A Review of ROQ Attacks in Internet

— Today secure network is the primary aspects in the network. Internet is the primary medium which is used by number of users around the across the networks. Network resources such as bandwidth, throughput, response time are affected most by these ROQ attacks. In this paper we have discussed ROQ attacks, its detection and mitigation of these attacks.
REAL TIME SENTIMENT ANALYSIS OF E-COMMERCE WEBSITES USING MACHINE LEARNING ALGORITHMS

With the advent of social media, sentiment analysis an evolving area finds application in all domains. Significant applications of sentiment analysis include retail, movie rating, politics, healthcare, and automobile industry. Sentiment analysis can be implemented in various methods like machine learning methods, syntactic patterns, lexicon based method. Finding the sentiment of e-commerce websites is very important for online customers to buy quality products and timely delivery of their goods and services. This paper compares the e-commerce websites in terms of quality and timely delivery. Sentiment is calculated based on the live tweets generated by twitter on these websites using streaming API.
Optimization of Microbial culture for Improved Production of Secondary Metabolites

The present study is carried out by optimization of microbial culture for improved production of secondary metabolites. The secondary metabolites work as an antibiotics that are responsible for inhibition of growth of bacterial pathogens. In this method total 14 soil samples were collected at different – different places from Lucknow according to the geographical location. Total 13 bacterial strains were isolated after pure culturing (C1C13) and further they were tested against E. coli, S. aureus and P. aeruginosa by disc diffusion method. Out of 13 cultures best results were obtained for 4 cultures (C1, C11, C12 and C13). Further work involved biochemical tests by Bergey’s manual for identification of bacteria and optimization of culture conditions in which the best carbon source, best nitrogen source, best pH and best temperature were observed for improved production of secondary metabolites. The best carbon source was obtained as glucose, best nitrogen source was obtained as an ammonium chloride, best pH obtained was 7 and the best temperature was 37 °C for C1, C11, C12 and C13. Identification of bacterial isolates was performed by Bergey’s manual which indicates the presence of Bacillus culture.
Interactions of Aqueous L-Proline with 2-Methoxyethanol System At 303.15K and At Various Concentrations

The correlation of thermo-chemical parameters viz. density (ρ), viscosity (ɳ), and ultrasonic velocity (u) have been measured for aqueous l-proline with 2-methoxyethanol system at 0.1 to 1 mole fractions and at 303.15K. The concentration increases of 2-methoxyethanol the density, viscosity and ultrasonic velocity decreases; due to weak solute-solvent interactions. It results structure-breaking of the solvent. Thus it is confirmed from the above parameters that; there is a weak association between present systems showing hydrophobic nature.
Selection of Cowpea Lines for Multiple Traits by GYT Biplot Analysis

Cowpea is an African legume that was introduced to Brazil by Portuguese settlers in the mid-16th century. The productive potential of this crop may fluctuate depending on its environment. The objective of the present study was to select cowpea lines with high grain yield coupled with other traits of agronomic interest, such as good adaptability and stability, by the GYT biplot methodology. Twelve lines were evaluated in the years 2016 and 2017 in the municipality of Bom Jesus de Itabapoana, Brazil, in a randomized-block design with four replicates and two cultivars, which were used as controls. The following variables were evaluated: number of days to flowering, final stand, crop value, lodging, pod weight, pod length, seed number per pod, seed weight per pod, 100-seed weight (100SW), and grain yield. Analysis of variance was performed and GYT biplots were constructed using R software and the ggplot2 package. The GYT biplot graph analysis allowed for the selection of superior cowpea genotypes. In the combinations of traits observed, lines L1, L3, L5, L6, L8, and L9 were superior and cultivar Imponente stood out as one of the controls. The yield combinations GY*CV, GY*NDF, GY*LDG, GY*CV, GY*PW, GY*SNP and GY*P100G were positively correlated with each other but showed negative to highly negative correlations with GY*SWP and GY*TS.
Evaluation of Seed Coating with Some Essential oils and Bio-agents against Root Rot Disease of Faba Bean

the efficacy of Lemongrass, Thyme, peppermint essential oils and /or bio-agents as seed dressing against faba bean disease incidence was evaluated in naturally infested field with root rot causal organisms under field conditions. All applied treatments reduced significantly root rot incidence at both preand post-emergence growth stages comparing with untreated check control. The obtained results showed that combination treatments of Lemongrass, Thyme and peppermint oils with bio-agents reduced significantly root rot incidence of all grown faba bean plants comparing with the application of each of them alone as well as the fungicide Rizolex-T. Obtained results, in the present study, lead to suggest that integration between essential oil and bio-agents is considered an applicable, safe and cost-effective method for controlling such soil-borne diseases.
Performance comparison of firefly algorithm in Global Routing Optimization

Rapid technological advancements are leading to a continuous reduction in integrated chip sizes. An additional steady increase in the chip density is resulting in device performance improvements as well as severely complicating the fabrication process. The interconnection of all the components on a chip, known as routing, is done in two phases: the global and the local routing phases. This phase affects chip performance significantly and hence researched into extensively. Swarm based algorithms have proven to be quite useful in this domain. It is an emerging area in the field of optimization and this paper presents one such algorithm, the Firefly Algorithm for solving the routing optimization problem. The performance of the algorithm has been compared with other well-known swarm based algorithms. The proposed algorithm shows remarkable improvement in minimizing the interconnect lengths however, computationally, it is much more expensive compared to the other algorithms in question.
RP-HPLC method development and validation for simultaneous estimation of atorvastatin calcium and amlodipine besylate

A novel, simole, precise and acccurate revese phase high performance liquide chromatography (RPHPLC) method was developed and validated for the simultaneous determination of Atorvastatin calcium (ATR) and Amlodipine besylate (AML) in combined dosage form. The proposed RP-HPLC method utilizes a C18, 5μm, 250mm × 4.6mm i.d. column, mobile phase consisiting of 0.05 M ammonium acetate solution and acetonitrile in the proportion of 55:45 (v/v) with apparent pH adjusted to 6.1, and UV detection at 238 nm using UV detector L7400. The retention times were 7.09 min and 4.20 min for ATR and AML at a flow rate of 1.2 ml/min. The discribed method was linear over a range of 5-50 μg/ml for ATR and 2.5-25 μg/ml for AML. The percentage mean recovery was found to be 100.03 for ATR and 100.09 for AML. The method ws statistically validated for its linearity, accuracy and precision. Both interday and intraday validation was found to be showing less % RSD having high grade of precision of the method.
Effect of Fluid Flow Rates on Hydrodynamic Characteristics of Co-Current Three Phase Fluidized Beds with Spherical Glass Bead Particles

The study of hydrodynamics plays an important role in the economical design and operation of a three phase fluidized bed. The present work is an experimental investigation on the hydrodynamic behavior of a co-current three phase fluidized bed with liquid as a continuous phase in a 54 mm id Perspex (Acrylic column) with particle size of 4.38 and 1.854 mm glass beads. Based on the experimental work, the effect of fluid rates on the various parameters such as pressure drop, porosity, gas and liquid holdups were studied and the observed data was reported.
Improvement of Fixed WiMAX OSTBC–OFDM Transceiver Based Wavelet Signals by Non-Linear Precoding Using SDR Platform

— This paper inquire, a new Non-Linear precoding method to the acclimatization for the Worldwide Interoperability for fixed Microwave Access (WiMAX) baseband, in the physical layer performance of multi-antenna techniques, All cases are based on the IEEE 802.16d standard using orthogonal frequency division multiplexing (OFDM) based discrete wavelet transform (DWT) and 16-Quadrature amplitude modulation (QAM), ½ of coding rates and using SFF SDR development platform. The proposed Non-Linear Precoding Tomlinson-Harashima Precoding (THP) in WiMAX baseband consider a new way to further reduce the level of interference signals achieved much lower bit error rates and increase spectral efficiency. The proposed model was modeled-tested, and its performance was found to comply with International Telecommunications Union channel models (ITU) that have been elected for the wireless channel in the simulation process
Non-invasive scoring systems for predicting NASH in Japan: evidences from Japan Study Group of NAFLD

A disease spectrum of nonalcoholic fatty liver disease (NAFLD) ranges from nonalcoholic fatty liver (NAFL), a benign condition to nonalcoholic steatohepatitis (NASH) which can lead to liver-related mortality such as hepatocellular carcinoma, hepatic failure, and portal hypertension. Although liver biopsy is the gold standard for the diagnosis of NASH, it has several drawbacks such as complication, cost, and sampling errors. A reliable and inexpensive noninvasive parameter for predicting NASH or severe hepatic fibrosis is required in patients with NAFLD. In this article, we reviewed several scoring systems which have been constructed by the Japan Study Group of NAFLD ( JSG-NAFLD), a multi-center study group for the diagnosis and management of NAFLD in Japan. First of all, the NAFIC score calculated from the ferritin, insulin, and type 4 collagen 7S levels was established to diagnose NASH. We recently suggest that modified NAFIC score may be better than conventional NAFIC score, although external validation studies using a large population of NAFLD are essential. In order to exclude severe fibrosis (stage 3-4), FIB4 index and NAFLD fibrosis score (NFS) are the most simple and reliable scoring systems in consistent with the Western studies. The combination of platelet count and AST/ALT ratio (PAAR index) is useful and easily determined for excluding severe fibrosis. To detect cirrhosis (stage 4), we formed an easily calculated composite score, called the PLALA (platelet, albumin, AST/ALT ratio) score. Introduction of these scores in clinical practice may reduce the proportion of patients that require liver biopsy to diagnose mild disease.