Miracle-dz/UniFAR-FTUs huggingface dataset:
Bioleaching of Copper from Low Grade Ore Bornite Using Halophilic Thiobacillus Ferroxidans, N-11

Bioleaching is a process of extracting minerals from ores using microorganisms. The extraction of copper from low grade ores is today’s need because of gradual depletion of high grade ore. The conventional methods used for extraction of copper from ore is either Pyrometallurgy or Hydrometallurgy, however both the methods are not free from the environmental pollution problems and economically very expensive, and requires lots of energy. Bioleaching of mineral is the only method considered as most convincing way to solve these problems, requires very less energy and is free from environmental pollution and other problems. By considering this, In the present study Halophillic Thiobacillus ferroxidans N-11 is explored for bioleaching of copper from low grade ore Bornite. Thiobacillus ferroxidans N-11 isolated from hyper saline soils of Kolhapur district of Maharashtra, India on 9 K medium. It was identified using Bergey’s manual of systematic bacteriology. Bioleaching study was carried out in both shake flask as well as bioreactor. Results showed that in the shake flask Thiobacillus ferroxidans N-11 tolerates 35 g/L of Bornite when supplemented with 0.5 g/L of Yeast extract. At 120 rpm and 40 O C temperature, about 72% of copper can be extracted after 22 days by shake flask method and 78% can be extracted by bioreactor study in 20 days. Present study indicated the usefulness of Thiobacillus ferroxidans N-11 in bioleaching of copper from low grade ore Bornite can be used as a potential candidate for bioleaching as a pollution free process.
The new frontier of Data mining techniques with proven intelligence-gathering technologies based on data enabled decisions in medicine

Healthcare is on the verge of a notable new period of discovery. With the advancement of the electronic health record, new opportunities for uncovering patterns will come to the forefront of medical knowledge. As the healthcare industry continues its drive to enhance quality of care, promote reliable services with reduction of cost, provided that these undiscovered patterns of care will become increasingly transparent for health care professionals. In recent times, the healthcare industry is beginning to apply the Evidence or Case of medical history which is purely based on proven intelligence-gathering technologies. Health care providers recognizes the value of data mining as a tool to analyze patient care and clinical outcomes but still lacking in the usage of information, and in fact it is far behind than other industries in creating integrated, longitudinal databases which can serve as repositories for data mining.
Comparative Evaluation Between Scalpel and Laser Technique in Gingival Depigmentation: A Case report

Introduction:Aesthetics, the science of beauty, is an inseparable part of today’s dental treatment. Excessive gingival pigmentation is a major esthetic concern for many people, especially in patients with a gummy smile. Gingival pigmentation results from melanin granules, which are produced by melanoblasts. The degree of pigmentation depends on melanoblastic activity. Though it is not a pathological problem, several people complain about unpleasant looking dark gums. Gingival depigmentation can be performed in such patients with excellent results. Case Report:We present a case report for management of gingival pigmentation using a surgical blade and diode laser for achieving predictable esthetics. Conclusion:The application of diode laser appears to be a safe and effective alternative procedure for the treatment of gingival melanin pigmentation. Its benefits include ease of usage, effectiveness in the treatment of superficial benign pigmented lesions, convenience in dental clinics, as well as decreased trauma for the patient.
PLEIOTROPIC EFFECTS OF XENOESTROGEN ACTION IN PROSTATE CANCER

Androgens are critical for prostate development, growth and survival. As such, treatment for advanced prostatic adenocarcinomas is reliant on the initial androgen dependence of this tumor type. The goal of these therapies is to block androgen receptor (AR) action either through direct inhibition of the receptor or through inhibition of androgen synthesis. Although such course of hormonal therapy is initially effective in most patients, recurrent tumors ultimately arise and lead to patient morbidity. It is increasingly evident that AR plays a critical role in progression of prostate cancer (CaP) to hormone-refractory state, as such recurrent tumors harbor restored AR activity. One mechanism of such re-activation occurs through AR mutations, rendering the receptor responsive to non-canonical ligands. We show that nanomolar concentrations of bisphenol A (BPA), a known estrogenic industrial compound, initiates androgenindependent proliferation in LNCaP human prostatic adenocarcinoma cells by activating a tumor-derived AR allele (T877A). We also demonstrate that full mitogenic action of BPA in LNCaP cells is dependent upon activation of the tumor-derived AR-T877A. Based on these data, we propose that BPA activates specific nuclear receptors in advanced prostate cancers, thus inducing inappropriate CaP cell proliferation. Moreover, BPA exposure may facilitate the development of hormone-refractory prostate tumors. Supporting the first part of our hypothesis, we illustrate that BPA transactivates multiple tumor-derived AR alleles in the absence of testicular androgens, thus expanding the potential influence of xenoestrogens on prostate cancer. Furthermore, we show that BPA cooperates with androgen in activation of mutant AR alleles. In vitro radioligand binding assay revealed that BPA alters 5α-dihydrotestosterone binding to AR-T877A, likely through non-competitive inhibition, and at high concentrations it blocks proliferation of AR positive, androgen-dependent prostate adenocarcinoma cells (LNCaP, LAPC-4). Finally, we demonstrate that in vivo exposure of LNCaP prostate tumors to environmentally relevant BPA concentrations results in accelerated tumor growth and therapy bypass as illustrated by increased serum levels of prostate specific antigen (PSA) relative to the placebo-treated animals. Together, these data demonstrate that BPA can serve as a potential “hormone sensitizer” of the mutant androgen receptors present in advanced prostate adenocarcinomas, thereby possibly contributing towards therapeutic relapse in advanced prostate cancer patients and supporting the notion that non-steroidal environmental compounds can alter the function of nuclear receptor complexes.
Study and Comparison of Surface Roughness between Experimental and Analytical Data of Forged Al-Tib 2 Composite

Aluminium composites are very rapidly replacing engineering metals and alloys because of its lightweight and high strength in Aerospace and Bio-medical applications etc. In the present work Al-TiB2 composite is fabricated by In-situ technique. The intensive study and comparison of surface roughness of Aluminium TiB2 composite is carried out. The material is subjected for turning operation to study the surface roughness. This study focuses on developing an empirical model for prediction of surface roughness on forged, forgedheat treated composite. The working parameters considered in the model are, speed, feed, depth of cut, and tool nose radius. The test results show that the value of surface roughness is low at high cutting speed and comparatively high at low cutting speed. Surface roughness increases with increase in feed and depth of cut. However it decreases with increasing tool nose radius and surface roughness increases as wt. % of TiB2 increases in aluminium. The value of surface roughness predicted this model compares verified/ with experimental results. Results so obtained from experimentation and statistical test results demonstrate that the model developed in this study have a satisfactory compatibility in both model construction and verification.
EVALUATION OF ACUTE AND CHRONIC ORAL TOXICITY STUDY OF LC (LIQUORICE AND CATECHU)-A POLYHERBAL DRUG ON EXPERIMENTAL RATS

The currently available locally acting formulations to treat recurrent aphthous stomatitis (RAS) are either less efficacious or they are not comfortable for the use in the patients. A single administration of LC was given orally at the highest dose level of 2000 mg/kg body weight in the acute toxicity study. Signs of toxicity were observed every hour for the first 6 h and every day for 7 days. In the repeat oral toxicity study, LC was administered to rats at doses of 250, 500, 750 and 1000mg/kg body weight for 28 days. Mortalities, clinical signs, body weight changes, biochemical and haematological parameters were monitored during the study period. There were no mortalities or clinical signs observed in rats in the acute toxicity study. The observable increase in the level of alkaline phosphatase (ALP) in the group administered 1000 mg/kg body weight of LC may be as a result of congestion or obstruction of biliary tract, which may occur within the liver. ALP activity on the other hand is related to the functioning of hepatocytes and an increase in its activity may be due to its increased synthesis in the presence of increased pressure. The increased level of lactate dehydrogenase (LDH) observed in the present investigation apparently indicated the toxic effect of LC in rat. There were no significant changes in total protein in rats treated with LC, which suggested that there was no sign of impaired renal function. The near–normal levels of total cholesterol observed in groups treated with LC may be attributed to the presence of hypolipidemic agents in the herbal drug. Similarly, the drug had no adverse effect on the concentration of creatinine and urea. This is suggestive of no kidney damage specifically by renal filteration mechanism. Increase in platelets observed in rats treated with 1000 mg/kg body weight may be attributed to enhanced production and secretion of thrombopoetin the primary regulator of platelet production by LC indicating that it has haemostatic property. NOAEL from this preclinical study was found to be 500mg/kg.
Quedas no ambiente hospitalar, qualidade e segurança do paciente: metassíntese da literatura.

Objetivo: Analisar as publicacoes referentes a assistencia de enfermagem e a sua interface com a ocorrencia de quedas de pacientes em ambiente hospitalar. Metodo: Trata-se de uma metassintese nas bases de dados Lilacs, Scielo, e Medline, publicados entre julho de 2004 a julho de 2014; nos idiomas portugues, ingles ou espanhol. Resultados: Foram selecionados treze artigos, que contemplaram os criterios de inclusao, cujas analises identificaram duas categorias: (1) “Fatores relacionados a ocorrencia de quedas”; (2) “Iniciativas em enfermagem para a melhoria da seguranca do paciente: em foco a prevencao das quedas”. Conclusao: Conclui-se que as quedas podem ocorrer em ambientes hospitalares. Entretanto, medidas e ajustes no cuidado prestado, no ambiente e na organizacao podem impactar positivamente na ocorrencia destes eventos. Destarte, a enfermagem exercita um olhar mais amplo em relacao a equipe e as familias dos pacientes hospitalizados. Descritores: Acidentes por Quedas. Seguranca do Paciente. Qualidade da Assistencia a Saude.
Crops and weeds classification using Convolutional Neural Networks via optimization of transfer learning parameters

: Agriculture remains the backbone of several economies in the world, especially in underdeveloped countries. With the rapid growth of the population and the increasing demand in food, farmers need to maximize the productivity and one possibility is the reduction of losses. Weeds are one of the major dangers in farming.Indeed, they competevigorously with the crop for nutrients and water. As result, they can cause the loss of 10% to 100% of the total harvest. This work aimed at developing a new model tailored to classify crops and weeds images. Using a pubic dataset of 5339 plant images from Aarhus University Signal Processing group in collaboration with University of Southern Denmark, we proposed a methodology based on transfer learning technique to classify 12 species of crops and weeds. Firstly, we converted images to jpeg format in order to accelerate the convergence and data augmentation techniques such as resizing, rotating, flipping, scaling were employed to reduce the chances of overfitting. Then, a model trained on ImageNet dataset with Residual Network 101 architecture was used for performing transfer learning. Finally, the network’s parameters were adjusted through various techniques involving progressive resizing, cyclical learning rate and focal loss function for improving the performance. Our model achieved an overall accuracy of 98,47% during validation and of 96,04% on the test set. We already deployed the model over Internet through a web application and our next step will be to integrate this solution within a mobile application and embedded devices.Future works concerns with the use of more features and descriptors to accurately distinguish two specificclasses of weeds: Black-grass and Loose Silky-Bent, and the possibility to extend our approach to other kinds of plants.
Design of Research Buddy: Personalized Research Paper Recommendation System

Abundance of the information available across the web accumulated over the years has resulted in a large repository of information. Extracting the information of interest has become a challenge for the users especially researchers who look for precise, accurate and quick data for their research work. There is an urgent need for specialized recommender systems to boost the productivity of the researcher by saving the researcher’s time spent in searching for latest developments made in a specific field. This paper is an effort to design a personalized research paper recommender system: Research Buddy to provide a personalized assistance in finding the best research paper. The proposed design is based on the concept of creating separate user profiles for each researcher, using the information gathered through user profiles and creating clusters of researchers working in the same field and interests. It uses fusion hybrid recommender technique to recommend new research papers in a specific field or subject and maintains the history of research papers created, downloaded, read, viewed and liked by the user in the past. It also takes long time and short time research needs of the user into consideration while recommending.
MORPHOLOGICAL IDENTIFICATION AND DNA BARCODING STUDY OF Labeo calbasu (Hamilton, 1822) FROM LOWER ANICUT, TAMIL NADU, INDIA

DNA barcoding is a global standard tool in taxonomy based DNA sequences and its usefulness for identification of species. Genus Labeo morphologically complicated and it still not fully resolved genus. While, several described species and other species of within genus are very difficult to delimit due to overlapping in morphological characters and complex of color patterns towards Labeo kontius and Labeo fimbriatus are very similar. With this, we have a complete photographical image for mainly helpful an identification tool for field collection. Now, morphological species identification for within group has been a unique controversial. In this, the next focus specifically a paucity of fish taxonomists and all paving by way of molecular diagnostic tool namely DNA barcode for effective taxa delimitation. Herein, the present phylogenetic analysis of Labeo calbasu based on the short standardized segment and 5' region of mtDNA COI gene fragments. Moreover, the present work discussing about to identify species through mtCOI gene to discriminating the wild species Labeo calbasu from Cauvery waters (Kollidam river), Lower Anicut, Tamil Nadu. Finally, it is a complement current results provide evidence that mtCOI gene are more effective for rapid and accurate identification of species and certain discrimination were found this species that need for further taxonomic investigation.
Regioselective C-H Borylation of C (sp2)-H Bond

C-H activation reactions have become a powerful method to direct functionalization of alkyl, alkenyl, and aryl C-H bonds over the past few decades. Among of them, Iridium catalyzed transformation of aryl C-H bonds to C-B bonds is one of the most useful method. However, a central challenge in these reactions is controlling their site selectivity. Over the past decade, some methods have been developed to accomplish regioselective C-H borylation by catalysts or substrates modification. In this paper, some methods developed in recent years to realize ortho-, meta-, and para-selective C-H borylation will be summarized and their strategy and mechanism of these methods will be discussed.
Sentence Level Semantic Classification of Online Product Reviews of Mixed Opinions Using Naive bayes Classifier

— Recent years have marked the beginning and rapid expansion of the social web, where people can freely express their opinion on different objects such as products, persons, topics etc on blogs, forums or e-commerce sites and opinion analysis is one emerging research field. As e-commerce is fast growing, product reviews on the Web have become an important information source for customers’ decision making when they plan to buy products online. Classifying the reviews automatically into different semantic orientations has become a major problem for customers as the reviews are too many for the customers to go through. In this paper we propose a different approach which performs the sentence level classification even the reviews contains mixed opinions. In this approach, a typical feature selection method based on sentence tagging is employed and a naive bayes classifier is used to create a base classification model, which is then combined with certain heuristic rules for review sentence classification. Experiments show that this approach achieves better results than using general naive bayes classifiers.
The Application of Genetic Principles and Genetic Engineering to Improve Efficiency of Lean Meat Production

Efficiency of meat production can readily be improved by application of crossbreeding systems to exploit heterosis and to match characteristics of breeds to market requirements and to diverse production resources. Efficiency can also be increased by intrapopulation selection among animals by procedures available now. The potential is great for further improvements from application of rapidly evolving biotechnology. As our understanding of molecular genetics, cytogenetics and physiology evolve, this knowledge can be readily incorporated into the engineering of more efficient meat production systems. The purpose of this presentation is to briefly review the potential for application of current and evolving technology to improving production efficiency of skeletal muscle. Although the principles are similar for all species, I will draw on results from beef cattle for most of my examples because of limitations on time and my familiarity with beef cattle breeding research.
A Comparative Study of PAPR Reduction Techniques for OFDM Systems: An Overview

— Orthogonal Frequency Division Multiplexing (OFDM) has been adopted as a predominant access technique to meet the challenges offered by next generation broadband wireless mobile systems. OFDM has gained a lot of interest in recent years because of its robustness against multipath fading. Despite many potential advantages offered by OFDM system, it suffers from major drawback of high Peak-to-Average Power Ratio (PAPR) which leads to inefficiency of radio frequency (RF) power amplifiers. In this paper, some of the important PAPR reduction techniques are reviewed and their analysis is done on the basis of their computational complexity, BER performance, spectral efficiency etc.
DESIGN AND EVALUATION OF TOLTERODINE TARTARATE TRANSDERMAL DELIVERY SYSTEMS: ENHANCEMENT OF PERMEABILITY VIA PHYSICAL AND CHEMICAL TECHNIQUES

The aim of the present investigation was to develop transdermal patches of Tolterodine tartarate(TT) and improve the permeation using physical (Iontophoresis) and chemical (d-Limonene) permeation enhancement techniques.The matrix type transdermal patches of TT were prepared using solvent casting technique. Ten formulations(composed of Hydroxy propyl methyl cellulose(HPMC) in the ratios of 1:12.5,1:10 and 1:15 in the formulations F1,F2 & F3, HPMC and Eudragit RL100 in the ratios of 4:4, 5:3, 6:2 and 7:1 in the formulations F4, F6, F7 & F9 and HPMC and Eudragit RS 100 in the ratios of 5:3, 6:2 & 7:1 in the formulations F5, F8 & F10)were prepared. In all formulations 17% PEG 400 was used as plasticizer. All formulations were evaluated for in-vitro release studies, water absorption, water content, water vapor transmission rate studies (WVTR) and Mechanical properties. The physicochemical interaction between TT and polymers were investigated by Differential Scanning Calorimetry (DSC). Effect of different concentrations of d-Limonene (6%, 8% and 10%), different current densities (0.075, 0.15 & 0.3 mA/cm 2 ) and combination of both the techniques on the optimized formulations were studied through ex-vivo permeation studies.The maximum drug release was obtained in the formulations F1 (72.72% in 12 hrs), F9 (81.69% in 24hrs) and F10 (73.95% in 24hrs). These formulations were used in further experiments for the improvement of flux. Little improvement in the flux (F1 (Control: 30.79μg/hr/cm 2 , d-Limonene: 46.36 μg/hr/cm 2 ), F9 (Control: 28.02 μg/hr/cm 2 , d-Limonene:53.24μg/hr/cm 2 ) and F10 (Control:25.60μg/hr/cm 2 , d-Limonene:39.44 μg/hr/cm 2 )was observed with 8% of d-Limonene. Significant improvement in flux was obtained with iontophoresis using 0.15mA/cm 2 (F1:167.12 μg/hr/cm 2 , F9:114.34 μg/hr/cm 2 & F10:55.72 μg/hr/cm 2 ). Required flux (260 μg/hr/cm 2 ) was obtained with combination of both the techniques in the formulations F1: 253.28 μg/hr/cm 2 & F9: 177.50 μg/hr/cm 2 .
Classification of Hyperspectral Satellite Images Using Ensemble Techniques for Object Recognition

--Image classification is one of the most important tasks of remote sensing information processing used for object recognition. In this paper, a novel scheme is proposed to improve the accuracy of hyperspectral image classification by amalgamating multiple feature vector sets and ensemble methods with different classifiers. Extracting the texture, color and object features of the satellite images, an ensemble classifier is built for object recognition which recognizes the type of objects present in it. Effective use of feature set and the selection of suitable classification methods with different combination methods are applied for improving classification accuracy. Classifiers such as Multi Layer Perceptron (MLP), k-Nearest Neighbour (KNN) and Support Vector Machine (SVM) are used. This combination shows high performance in terms of Classifier Accuracy (CA), Object Recognition Rate (ORR) and False Alarm Rate (FAR). Results obtained from the ensembling classification give better solution when compared with single classification system.
16s RNA Partial Sequencing of Isolated Strains of Metal Resistant Bacteria

Four multi-heavy metal resistant strains of bacteria were isolated from industrial effluent rich in heavy metal contaminants. Partial sequences of the 16s rRNA genes of the isolated bacterial strains were identified following the isolation and cloning of the required 16s rRNA region using PCR amplification. The resulting sequences were aligned and sequenced with the aid of ABI Prism 377 automatic sequencer. The evolutionary distances and the phylogenetic trees were inferred and analyzed by using maximum-compositelikelihood method and neighborjoining method respectively. The bacterial strains identified were similar to natural strains of Bacillus pumilus, Bacillus subtilis, Pseudomonas aeruginosa, Serratia liquefacians respectively but with multiheavy metal resistant ability. They were seems to resistant against Cu, Cr, Ni, Pb, Mn and Zn. The overall average level of sequence similarity between the isolated strains and their matched counterparts is found to be 99.98 %.