Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of PhytoceeTM (a Phytogenic feed additive) on survivability of Zebra fish subjected to ammonia stress

Stress is a common factor among all animals and aquatic species suffer wide variety of stresses. Adaptogens are plant substances that have been known to mitigate stress in animals. PhytoceeTM is a phytogenic feed additive known to alleviate stress in animals. In the current study, PhytoceeTM was studied to know the survivability of the model fish, Zebra fish (Danio rerio) in an ammonia stress model. The test groups consisted of two groups; a) Normal control: 20 fishes received the normal feed without PhytoceeTM b) Experimental group: 20 fishes received feed added with PhytoceeTM @ 1Kg/ton (0.1%). The fishes were fed on these diets for 15 days. On day 16, the fishes were challenged with ammonium acetate at 40mM and were observed continuously and the mortality at every hour (time in hrs) was recorded till 100% mortality. Results showed that PhytoceeTM afforded the protection against ammonia toxicity in Zebra fish. This study shows that PhytoceeTM, a herbal additive may offer antistress effect to aquatic species and improve their survival.
the Agricultural Study

Cancer incidence the Agricultural Study. Objectives This large, prospective cohort study of private applicators, commercial applicators, and spouses of farmer applicators was undertaken to ascertain the etiology of cancers elevated in agriculture. Methods The participants were matched to cancer registry files in Iowa and North Carolina. Incident cases were identified from enrollment through 31 December 2002. Standardized incidence ratios (SIR) were used to compare the cancer incidence of the participants with that of the total population in the two states. Results The overall cancer incidence among farmers [SIR 0.88, 95% confidence interval (95% CI) 0.84–0.91] and their spouses (SIR 0.84, 95% CI 0.80–0.90) were significantly lower than expected, particularly for respiratory and urinary cancers. Commercial pesticide applicators had an overall cancer incidence comparable with the expected (SIR 1.01, 95% CI 0.84–1.20). Smoking prevalence was significantly lower than the national average. Prostate cancer was elevated among private applicators (SIR 1.24, 95% CI 1.18–1.33) and commercial applicators (SIR 1.37, 0.98–1.86). Excess ovarian cancer was observed for female applicators (SIR 2.97, 95% CI 1.28–5.85), but not for female spouses (SIR 0.55, 95% CI 0.38–0.78). Female spouses had a significant excess of melanoma (SIR 1.64, 95% CI 1.24–2.09), which was not observed among pesticide applicators. Conclusions Low overall cancer incidence rates seem to be a result of low overall smoking prevalence and other lifestyle factors, while excess cancer of the prostate and ovaries among applicators may be occupationally related. The excess risk of melanoma observed among spouses was unexpected.
HDL-mediated neutralisation-attenuation of HCV-1-Revised Manuscript JBC M6:02706 HIGH DENSITY LIPOPROTEIN INHIBITS HEPATITIS C VIRUS NEUTRALISING ANTIBODIES BY STIMULATING CELL ENTRY VIA ACTIVATION OF THE SCAVENGER RECEPTOR BI

1 INSERM, U758, Lyon, France. 2 Ecole Normale Supérieure de Lyon, Lyon, France. 3 IFR128 BioSciences Lyon-Gerland, Lyon, France. 4 University Heidelberg, Department for Molecular Virology, Heidelberg, Germany. 5 CNRS-UPR2511, Institut Pasteur de Lille, Lille, France. 6 IBCP, UMR5086 CNRS-UCB Lyon-I, France. 7 Epixis SA, Lyon, France. 8 Department of Pathology, Stanford University School of Medicine, Stanford, USA. Running Title: HDL-mediated neutralisation-attenuation of HCV Address correspondence to: François-Loïc Cosset. ENS de Lyon, 46 Allée d’Italie, 69007 Lyon, France. Phone: +33472728732, Fax: +33472728080, E-Mail: flcosset@neuf.fr
Multi Criteria Decision Making Technique For Machine Learning Algorithms: Iterative And Non-Iterative Algorithms

: With increasing amount of data generated every day, there is a need to extract useful information from the data which is an important problem to be solved. Machine learning is a method that enables the computer system to have the intelligence by analyzing the data and building an automated analytical model. The algorithms in machine learning are broadly classified as either iterative or non-iterative algorithms. An optimization algorithm plays a key role in machine learning that is solved by iterative methods that are executed iteratively to generate optimum solution or till a satisfactory solution is obtained. A non-iterative algorithm is computationally faster than iterative algorithms as it does not require iteration or little iteration to train the data. This paper makes an analysis of these iterative and non-iterative algorithms and performs comparison upon their respective advantages and drawbacks. These algorithms are compared based on various parameters such as time taken to build the model, correctly and wrongly classified instances, mean absolute error, root means square error, true positive, false positive, precision and recall are computed. Multi Criteria Decision Making method such as TOPSIS is used to improve the efficiency of the decision making process by suggesting best machine learning technique that improves classification
Left Atrial Reverse Remodeling

The left atrium is considered a biomarker for adverse cardiovascular outcomes, particularly in patients with left ventricular diastolic dysfunction and atrial fibrillation in whom left atrial (LA) enlargement is of prognostic importance. LA enlargement with a consequent decrease in LA function represents maladaptive structural and functional “remodeling” that in turn promotes electrical remodeling and a milieu conducive for incident atrial fibrillation. Medical and nonmedical interventions may arrest this pathophysiologic process to the extent that subsequent reverse remodeling results in a reduction in LA size and improvement in LA function. This review examines cellular and basic mechanisms involved in LA remodeling, evaluates the noninvasive techniques that can assess these changes, and examines potential mechanisms that may initiate reverse remodeling. (J Am Coll Cardiol Img 2017;10:65–77) © 2017 by the American College of Cardiology Foundation. E valuation of the left atrium as a cardiovascular biomarker (Central Illustration) has become increasingly important, particularly in 2 common clinical scenarios; namely, left ventricular (LV) diastolic dysfunction (1) and atrial fibrillation (AF) (2), both associated with left atrial (LA) enlargement. LV diastolic dysfunction is acknowledged to be the predominant pathophysiological mechanism in patients with heart failure with preserved ejection fraction and in hypertrophic and infiltrative cardiomyopathies. AF is the most common clinical arrhythmia, with evidence from the Framingham study to suggest there is a lifetime risk of 25% for the development of AF in individuals >40 years of age (3). Additionally, chronic cardiovascular conditions including systemic hypertension, ischemic heart disease, and heart failure cause LA enlargement and increase the risk of developing AF (4). Mitral valve disease, although less common, causes LA remodeling from pressure or volume overload (5). Timely intervention for patients with these conditions may arrest and perhaps reverse LA remodeling with a consequent reduction in LA size with improved function. This review examines cellular and basicmechanisms that are involved in LA remodeling, evaluates the noninvasive techniques that can assess these changes, and examines potential mechanisms that may initiate reverse remodeling.
Heavy-spectrin has a restricted tissue and subcellular distribution during Drosophila embryogenesis

The precise mechanism(s) by which the membrane skeleton, a ubiquitous cellular structure that is closely juxtaposed to the inner surface of the plasma membrane, functions to maintain the integrity of the plasma membrane and contributes to cell adhesion, signal transduction and cell polarity (see Luna and Hitt, 1992 for review) have yet to be elucidated. This membrane skeleton was first recognized as a distinct part of the cytoskeleton in erythrocytes (Marchesi and Steers, 1968) where it is now known to give stability to the plasma membrane and shape to the erythrocyte itself (Elgasaeter et al., 1986). Mutations in any of several components of the membrane skeleton lead to a loss of normal erythrocyte shape and, due to fragility, haemolytic anaemia in both humans and mice (Bodine IV et al., 1984; Palek and Sahr, 1992). An essential component of the erythrocyte membrane skeleton is a meshwork of spectrin molecules that interconnect short actin filaments at the membrane (see Luna and Hitt, 1992). Spectrins are long, heterodimeric molecules that consist of α and β subunits composed largely of a repetitive α-helical rod motif of 106 amino acids. α/β dimers associate head to head, and these tetramers form the basic actin crosslinking unit, with an actin binding domain on the β subunit at each end. Spectrin is part of a larger superfamily of actin crosslinking proteins that are found in a wide variety of non-erythroid tissues. These include α-actinins, dystrophins, actin binding proteins (ABP280, or filamin and ABP120), fimbrin and a Mr=300×103 muscle specific prote in f rom Drosophila (Hartwig and Kwiatkowski, 1991; Volk, 1992). In addition, many other components of the membrane skeleton have isoforms in most non-erythroid tissues examined (Bennett, 1990). Structural, and probably functional, diversity in spectrins comes from variation in both the α and β subunits. Sequences from several genes in several species show that this variation is generated by having multiple genes and by alternatively splicing mRNA from a single gene (McMahon et al., 1987; Moon and McMahon, 1990). Three protein isoforms of vertebrate β-spectrin have been described, suggesting that v a r iability in the function of the membrane skeleton in diverse tissues is due, at least in part, to the particular β-spectrin 2039 Development 120, 2039-2050 (1994) Printed in Great Britain © The Company of Biologists Limited 1994
Adaptive density estimation for stationary processes

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Adaptive density estimation for stationary processes Matthieu Lerasle
Research on ride comfort performance of a metal tire

A new type of non-inflatable metal tire is designed to prevent the flat tire caused by puncture and shrapnel penetration, and it can be used on star rovers and military or civilian wheeled vehicles. In order to study vibration damping characteristics of the new wheel, a specimen with the same size as the pneumatic tire (235/70 R16) is made for contrast tests. A filtering method is proposed to reduce impulse and random interference noise in collected vibration signal. Comparative analysis of ride comfort performance is conducted by solving weighted acceleration root mean square (RMS) values. The results show that the filtering method has a good effect, and ride comfort of the metal tire is slightly worse, while it has a better grasping ability. Therefore, some extended structures have been recommended to improve the vibration damping performance.
Dynamic Spectrum Allocation Access Using Cognitive Radio Networks in a Maritime

The maritime environment is unique due to radio wave propagation over water, surface reflection and wave obstruction. In dealing with the challenging maritime environment, a dynamic spectrum allocation access using cognitive radio network through optimization is proposed. Existing works in this area are limited in performance due to the long duration in achieving the probability of false alarm. Matched filtering technique which is known as the optimum method for detection of primary users (PUs) faces the challenge of large power consumption as various receiver’s algorithm are needed to be executed for detection. This work provides a platform that enables minimum energy utilization by secondary users (SUs) thereby, enhancing throughput. An algorithm for throughput maximum in spectrum allocation was developed and used based on demand based model. The implementation of the developed model was carried out using Java program and the spectrum analysis using long distance path loss model and adaptive modulation code to estimate the minimum bandwidth of the secondary users. A simulation of cognitive radio mesh network for the testing and validation of the demand based algorithm preference, and also the cognitive radio network traffic was carried out using Cisco packet tracer and results shown on MATLAB. Simulation results indicate that using the demand based algorithm, the throughput rose with time and almost stabilized. This increase and steady throughput indicates effectiveness in the algorithm which shows that the PUs and SUs activities increase as holes’ detection effort varies, unlike that of genetic algorithm where the throughput rose gradually, got to a peak value at certain time and then fell which indicates instability in the variation of the throughput. Also, the average throughput of the demand based algorithm is far greater than that of genetic algorithm which shows that demand based algorithm outperforms the genetic by a far greater percentage. The percentage of optimization is approximately 26%.
Audit fees contribution as moderating auditor switching on audit quality: Evidence from Indonesia

The case of an audit failure conducted by one of the KAP that occurred in Indonesia resulted in obtaining a penalty from the Public Company Accounting Overside Board (PCAOB) as the main issue in this study. Testing the effect of auditor switching on audit quality with audit fees as a moderating variable was the main objective of the study. The logistic regression method was used as an analytical tool to process data. The data used were secondary data in the form of quantitative. To get a representative sample, a purposive sampling method was used. During seven years (2012 – 2018) of observation, 321 company data were obtained which included in the sample criteria. The data were used to be processed as research findings. The results showed that auditor switching affects audit quality and audit fees moderate the effect of auditor switching on audit quality. The contribution of this research is public accountants to be able to maintain public trust through the quality of the published audit and support the previous theory related to auditor switching, audit fees and audit quality.
Tuning of Pectin Methylesterification PECTIN METHYLESTERASE INHIBITOR 7 MODULATES THE PROCESSIVE ACTIVITY OF CO-EXPRESSED PECTIN METHYLESTERASE 3 IN A pH-DEPENDENT MANNER *

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Tuning of Pectin Methylesterification : PECTIN METHYLESTERASE INHIBITOR 7 modulates the processive activity of co-expressed PECTIN METHYLESTERASE 3 in a pH-dependent manner Fabien Senechal, Mélanie L ’Enfant, Jean-Marc Domon, Emeline Rosiau, Marie-Jeanne Crepeau, Ogier Surcouf, Juan Esquivel-Rodríguez, Paulo Marcelo, Alain Mareck, Francois Guerineau, et al.
Unfolding gastrulation

‘There is an intangible something about the process of gastrulation that invariably generates enormous awe and curiosity’, writes Claudio Stern in the Preface to an excellent and timely book that he has edited, titled Gastrulation: From Cells to Embryo, and that has been recently published by Cold Spring Harbor Laboratory Press. Indeed, it is the process of gastrulation that transforms an unimpressive, amorphous heap of cells that makes up each animal at the blastula stage of development, into a gastrula in which three germ layers, the endoderm, mesoderm and ectoderm, are shaped into a body plan that is characteristic of each systematic group. It is also during gastrulation that largely pluripotent embryonic cells become initially biased, then specified and finally committed to form specialized cell types such as muscles, blood and neurons. Thus, a two-dimensional map of tissues and organs in the blastula is translated through dramatic gastrulation movements into a three-dimensional configuration. In this triploblastic structure, the future skin and neural tissues reside in the most superficial ectoderm, the prospective alimentary structures form from the most internal endoderm layer, and sandwiched between these two is the mesodermal layer, which will give rise to the cardiovascular organs, musculature and bones.
Steering and cost

This document is supplementary to the paper Generative CoLearn: steering and cost prediction with generative adversarial nets in kinodynamic RRT , for submission to the International Conference on Robotics and Automation 2019. The paper has been written in collaboration with W.J. Wolfslag, a postdoctoral researcher at the University of Edinburgh, United Kingdom. Wolfslag was primarily concerned with the data generation aspect of the research, focussing on the equations of motion and indirect optimal control. My personal contribution involved the complete implementation of the required software, mainly focussing on the machine learning aspect. This work consists of implementation, tuning and benchmarking of the neural nets, implementation of the path planning algorithm and all the necessary analysis. A summary of the system is presented in Appendix B.
NON-CLASSICAL ESTROGEN/XENOESTROGEN RECEPTOR SIGNALLING IN MODULATION OF NEURONAL FUNCTION

Significance of fast signalling membrane-linked nonclassical estrogen receptors has emerged in recent years to understand biological consequences of exposure to many environmental estrogenic substances. Any menace from fast signalling receptor function should primarily affect excitable tissue functions eg.the nervous system. Both peripheral and higher functions may be subject to infringement. Architecture of estrogen receptors; their interaction with ligands and dynamics are all very complex, associated with peculiar variation of outcomes as per the contexts. Receptor molecules, their association molecules, signaling cascades and second messengers exhibit differences based on contexts. The challenge for progress of physiological and pharmacological understanding of biologic involvement of estrogens in health and disease of organs and human being demands the defining of patterns amidst the chaos. This is timey attempt to review the context, as environmental estrogens acquire greater place among ubiquitous pollutants.
Web Based Steganography Using Combination of Three Methods

-As about today’s generation everywhere there is a problem of threats, hacking which is always towards how to steal the information or private data. So it must be required to protect your information or data. There are many techniques for protection of data like cryptography, Steganography, etc. This paper is mainly focus on how to protect your data or information and how to do safe communication using steganography. Steganography is used to hide the particular message or data. It is used through html, www pages, php coding.
Electrochemical degradation of diclofenac by boron doped diamond anode: degradation mechanism, pathways and influencing factors

Nonsteroidal anti-inflammatory drugs (NAIDS) have been widely detected in wastewater and surface water, which indicates the removal of NAIDS by wastewater treatment plants was not efficiency. Electrochemical advanced oxidation technology is considered to be an effective process. This study presents an investigation of the kinetics, mechanism and influencing factors of Diclofenac (DCF) degradation by an electrochemical process with the boron doped diamond anodes. Relative operating parameters and water quality parameters are examined. It appears that the degradation follows the pseudo-first-order degradation kinetics. DCF degradation was accelerated with the increase of pH from 6 to 10. The degradation was promoted by the addition of electrolyte concentrations and current density. HA and HCO3 significantly inhibited the degradation, whereas Cl accelerated it. According to the inhibition tests, hydroxyl radicals (•OH) and sulfate radicals (SO4 ) contributed 76.5% and 6.5%, respectively, to the degradation. Sodium sulphate remains a more effective electrolyte, compared to sodium nitrate and sodium phosphate, suggesting the quenching effect of nitrate and phosphate on •OH. Major DCF transformation products were identified. According to the degradation products detected by liquid chromatography-mass spectrometry, hydroxylation and decarboxylation are the main pathways to DCF degradation; meanwhile, dechlorination, chlorination and nitro substitution are also included.
Relation betweens tress heterogeneity an daftershock rate in the rate-and-statemodel

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Relation betweens tress heterogeneity an daftershock rate in the rate-and-statemodel A. Helmstetter, Bruce Shaw
SELECTION OF COST DRIVERS IN ACTIVITY BASED COSTING WITH FUZZY GENETIC ALGORITHMS

In view of the limitations of traditional cost systems, Activity Based Costing takes the line that it is appropriate to identify the source of cost rather than concentrating solely on symptoms. This system implies a need to identify activities and choose cost drivers. The chief difficulty recognized in the literature is precisely how to select drivers, owing to the large number of activities and the uncertainty inherent in the range of variables that are involved in this process. In such a situation it becomes necessary, on the one hand, to set up mechanisms allowing complex problems to be handled, the line being taken in this paper that for such purposes genetic algorithms are of use. On the other hand, it is important to enable their application jointly with tools that permit uncertain information to be dealt with, which in its turn justifies interest in the Theory of Fuzzy Sets that can operate with this type of information. Hence, this paper presents a Fuzzy Genetic Algorithm as a mechanism facilitating the process of selection of cost drivers in ABC systems in which it is necessary to aggregate or lump together activities.