Miracle-dz/UniFAR-FTUs huggingface dataset:
Fluorescent‐based typing of the two short tandem repeat loci HUMTH01 and HUMACTBP2: Reproducibility of size measurements and genetic variation in the swedish population

The aim of this study was to investigate the reproducibility of genetic typing of two tetrameric short tandem repeat (STR) loci and the extent of genetic variation in the Swedish population. An automated, fluorescent‐based Applied Biosystems 373A sequencer was used for typing of the HUMTH01 and HUMACTBP2 loci (also named SE33). The former locus has seven alleles in the size range of 154–174 bp, while the latter is a complex locus with more than 32 alleles in the range of 227–316 bp. Using different fluorescent dyes, polymerase chain reaction (PCR) products from the two STR loci were sized in one lane using an internal size standard. In order to compare within‐ and between‐gel reproducibility of fragment size estimates, a control sample was typed three times on each of 20 gels. Within the gel, the standard deviation (SD) of fragment size variability was less than 0.1 bp for four fragment sizes between 158–291 bp. Standard deviations between gels were slightly higher for the two shorter fragment sizes (HUMTH01), while the larger fragments varied between 0.3 and 0.4 bp (HUMACTBP2). The amount of genetic variation was investigated in samples from three Swedish cities (n = 301). Seven alleles were found at HUMTH01 and the observed heterozygosity was 0.77. At the HUMACTBP2 locus more than thirty alleles were found and the observed heterozygosity was 0.96. The observed genotype frequencies at HUMTH01 and HUMACTBP2 did not deviate significantly from Hardy‐Weinberg expectations. No indication of a significant excess of homozygotes was found at any of the loci. We conclude that both HUMTH01 and HUMACTBP2 can be reliably typed using the method described. However, the latter locus requires an allelic ladder to be run on each gel.
NimbRo SPL German Open 2010 Team Description

This document describes the RoboCup SPL team NimbRo of Rheinische Friedrich-Wilhelms-Universität Bonn, Germany, for the RoboCup German Open competition to be held in Magdeburg in April 2010. Our team won several competitions in the Humanoid KidSize and TeenSize class. To demonstrate that this success can be attributed to software and not to hardware, NimbRo participates for the first time in the SPL. The paper describes the NimbRo software used for perception and behavior control, which we want to transfer to the Nao robots. We also give an outlook to ongoing research.
Dialogue or Monologues-The effect of topic concurrence on negotiation results

Deliberation is described as an exchange and mutual evaluation of validity claims to bring about a common solution to a problem or a conflict. Thus, according to one crucial aspect of deliberation, negotiation partners argue about the same topics, rather than each addressing their own agendas. To our knowledge, no attempts have been made to investigate, whether engaging in such dialogues affects the negotiation outcome in a deliberative setting. To this end, we exploit the potential of text analysis methods. In a laboratory setting, we ask students to extensively negotiate a randomly assigned conflict before making a decision. By using topic modelling on this real language corpus, we identify the topics addressed by the actors and calculate the topic concurrence (i.e. the extent to which actors talk about the same topics). We then estimate the effect of topic concurrence on negotiation outcomes.
Optimal power splitting for SWIPT-based MIMO DF relay systems

In this paper, we consider “harvest-then-use” based simultaneous wireless information and power transfer (SWIPT) for cooperative relay transmission, where a multiple-input multiple-output (MIMO) relay adopts decode-and-forward (DF) relaying strategy for information forwarding. By considering practical power splitting (PS) relay receiver architecture, joint optimization problem of power allocation and determining power splitting ratios is formulated to maximize the end-to-end achievable rate. Using the Lagrange dual method, we develop the efficient algorithm to find the optimal solution. Several valuable insights are provided via theoretical analysis and simulation results.
EFFECTS OF ADDING GLUTATHIONE AND ASCORBIC ACID BEFORE THE ALCOHOLIC FERMENTATION OF THE MUSTS ON THE SENSORY PROFILE OF THE WHITE WINES

Considering the fact that in the last decade consumers' preference turned to fresh white wines with a strong aromatic profile, wine producers have set as a priority the preservation of varietal aromas from the early stages of primary winemaking during all the process of wine production to the final product, and then, after bottling, until final consumption. In this direction, new antioxidants have been proposed by experts, and the natural antioxidant glutathione (GSH), on which winemakers have great expectations, was recently approved for use in must and wine by OIV. The present work evaluates the influence of using different doses of reduced glutathione (GSH), as such or in combination with ascorbic acid (AA), on the sensory profile of produced wines, treatments applied before the inoculation with selected yeasts of the musts produced in reductive manner in the presence of sulphur dioxide (SO2), from Sauvignon Blanc and Muscat Ottonel grapes.The results of the study show that the type and dosage of antioxidants have a significant influence on the sensory profiles of obtained wines and that a higher dosage than 20 mg/L approved by the OIV could be necessary to obtain wines with sensory profiles more appreciated by the consumers.
Recommendation for caution with irinotecan, fluorouracil, and leucovorin for colorectal cancer.

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A survey on thesauri application in automatic natural language processing

This paper is devoted to investigate efficiency of thesauri use in popular natural language processing (NLP) fields: information retrieval and analysis of texts and subject areas. A thesaurus is a natural language resource that models a subject area and can reflect human expert's knowledge in many NLP tasks. The main target of this survey is to determine how much thesauri affect processing quality and where they can provide better performance. We describe studies that use different types of thesauri, discuss contribution of the thesaurus into achieved results, and propose directions for future research in the thesaurus field.
ANN SIMULATOR FOR DETERMINATION OF SOIL CHARACTERISTICS USING EARTHQUAKE SPECTRA

A committee of Artificial Neural Networks (ANN) has been designed and employed for determination of soil characteristics based on the analysis of earthquake records. This committee contains competitive neural networks which uses the unsupervised learning procedure for classification of the records and back error propagation neural networks for estimation of shear wave velocity in soil media. The shear wave velocity ranges for various soil types and velocity values have been obtained and compared to the seismic codes and experimental results. It has been shown that the method is potentially capable of predicting shear wave velocity in soil media and soil type for standard design in engineering applications in a simple and effective manner.
Women’s Experiences with Epilepsy Treatment in Southern India: A Focused Ethnography

Women with epilepsy in rural southern India often do not receive anti-epilepsy drugs (AEDs) or take these drugs regularly, but little is known about how they experience the epilepsy treatment they do receive. The purpose of this study was to provide an in-depth description of the treatment experiences of women in this region who had been diagnosed with epilepsy but who do not consistently take AEDs. Focused ethnography was conducted using participant observation and in-depth interviews with six women with epilepsy, eight of their family members, and two traditional healers. The women’s treatment experiences are best described as living at the intersection of Western allopathic (“English”) medicine and traditional healing practices—approaches that could be complementary or conflicting. The women revealed a variety of perceived barriers to the use of “English” medicine. Health care professionals should appreciate the dynamic interplay of the two treatment approaches and consider all cultural, social, and economic factors that influence the women’s treatment experiences.
Aptitude–Treatment Interactions Revisited: Effect of Metacognitive Intervention on Subtypes of Written Expression in Elementary School Students

We examined the effectiveness of a metacognitive intervention for written language performance, based on the Hayes model of written expression, for 73 fourth-grade (n = 38) and fifth-grade (n = 35) students. The intervention consisted of twenty 45-min writing lessons designed to improve their awareness of writing as a problem-solving process. Each of the lessons addressed some aspect of planning, translating, and reflecting on written products; their self-regulation of these processes; and actual writing practice. All instruction was conducted in intact classrooms. Prior to the intervention, all students received a battery of neurocognitive tests measuring executive functions, attention, and language. In addition, preintervention writing samples were obtained and analyzed holistically and for errors in syntax, semantics, and spelling. Following the intervention, the writing tasks were readministered and cluster analysis of the neurocognitive data was conducted. Cluster analytic procedures yielded 7 reliable clusters: 4 normal variants, 1 Problem Solving weakness, 1 Problem Solving Language weaknesses, and 1 Problem Solving strength. The response to the single treatment by these various subtypes revealed positive but modest findings. Significant group differences were noted for improvement in syntax errors and spelling, with only spelling showing differential improvement for the Problem Solving Language subtype. In addition, there was a marginally significant group effect for holistic ratings. These findings provide initial evidence that Writing Aptitude (subtype) × Single Treatment interactions exist in writing, but further research is needed with other classification schemes and interventions.
The Effect of Electoral Malpractices on the Sustenance of Democracy in Nigeria

This study examines the effect of electoral malpractices on the sustenance of democracy in Nigeria. One of the most critical and salient features of any meaningful democracy accepted all over the world is the conduct of acceptable, credible, free and fair elections. This is because free and fair elections ensure concrete and stable political development which engenders sustenance of democracy. With elections being the only legitimate way of choosing representatives in any democracy, winning at all cost becomes the norm. All forms of violent acts to out-wit political opponents are let loose on the polity. Two questions were therefore formulated as a guide for this study. Using the elite theory as propounded by Wilfredo Pareto and Guatano Mosca as framework of our analysis, the study in its findings posit that electoral malpractices endangers conflict, crises and instability in Nigerian politics, this has negatively affected the sustenance of democracy in Nigeria. The study therefore, recommends a total overhaul of the electoral system in Nigeria, the civil society organizations, the government and the international community should be more committed to ensuring credible elections and above all honest and visionary leadership should be put in power with a view to achieving the sustenance of democracy in Nigeria.
NEW MIXED ELEMENTS FOR MAXWELL EQUATIONS∗

New inf-sup stable mixed elements are proposed and analyzed for solving the Maxwell equations in terms of electric field and Lagrange multiplier. Nodal-continuous Lagrange elements of any order on simplexes in twoand three-dimensional spaces can be used for the electric field. The multiplier is compatibly approximated always by the discontinuous piecewise constant elements. A general theory of stability and error estimates is developed; when applied to the eigenvalue problem, we show that the proposed mixed elements provide spectral-correct, spurious-free approximations. Essentially optimal error bounds (only up to an arbitrarily small constant) are obtained for eigenvalues and for both singular and smooth solutions. Numerical experiments are performed to illustrate the theoretical results.
In fl ammatory aspects of epileptogenesis : contribution of molecular in fl ammatory mechanisms

Objective: Epilepsy is a chronic neurological disease characterised with seizures. The aetiology of the most generalised epilepsies cannot be explicitly determined and the seizures are pronounced to be genetically determined by disturbances of receptors in central nervous system. Besides, neurotransmitter distributions or other metabolic problems are supposed to involve in epileptogenesis. Lack of adequate data about pharmacological agents that have antiepileptogenic effects point to need of research on this field. Thus, in this review, inflammatory aspects of epileptogenesis has been focussed via considering several concepts like role of immune system, blood–brain barrier and antibody involvement in epileptogenesis. Methods: We conducted an evidence-based review of the literatures in order to evaluate the possible participation of inflammatory processes to epileptogenesis and also, promising agents which are effective to these processes. We searched PubMed database up to November 2015 with no date restrictions. Results: In the present review, 163 appropriate articles were included. Obtained data suggests that inflammatory processes participate to epileptogenesis in several ways like affecting fibroblast growth factor-2 and tropomyosin receptor kinase B signalling pathways, detrimental proinflammatory pathways [such as the interleukin-1 beta (IL-1β)– interleukin-1 receptor type 1 (IL-1R1) system], mammalian target of rapamycin pathway, microglial activities, release of glial inflammatory proteins (such as macrophage inflammatory protein, interleukin 6, C–C motif ligand 2 and IL-1β), adhesion molecules that are suggested to function in signalling pathways between neurons and microglia and also linkage between these molecules and proinflammatory cytokines. Conclusion: The literature research indicated that inflammation is a part of epileptogenesis. For this reason, further studies are necessary for assessing agents that will be effective in clinical use for therapeutic treatment of epileptogenesis.
Extreme environment: Biofilms and microbial diversity

Extreme environments have been the interest of numerous studies and scientific publications. For many years, these environmental roles, which are characterised by high or low temperatures, high-pressure, low pH, high salt concentrations and companions of two or more extreme parameters. For many years, these environmental niches have increased in importance due to extreme microorganisms diversity and their potential returns of several industrial production processes concerning the food fields, medical and pharmaceutical. At present, it’s possible to detect life in most extreme environments, from the deep sea hot springs, depth of the oceans, deep inside the earth crust, harsh chemical environments, and high radiation environments through metagenomics analysis. In this review, newly identified microorganisms, and their potential uses in several applied fields have been outlined. The microbial development in biofilms form has supported the survival of alkaliphiles, psychrophile, halophile thermophile and extremophile microorganisms; where they flourish due to the adaptation strategies involving complex variation in biofilms structure
Evaluating the effect of last-level cache sharing on integrated GPU-CPU systems with heterogeneous applications

Heterogeneous systems are ubiquitous in the field of High- Performance Computing (HPC). Graphics processing units (GPUs) are widely used as accelerators for their enormous computing potential and energy efficiency; furthermore, on-die integration of GPUs and general-purpose cores (CPUs) enables unified virtual address spaces and seamless sharing of data structures, improving programmability and softening the entry barrier for heterogeneous programming. Although on-die GPU integration seems to be the trend among the major microprocessor manufacturers, there are still many open questions regarding the architectural design of these systems. This paper is a step forward towards understanding the effect of on-chip resource sharing between GPU and CPU cores, and in particular, of the impact of last-level cache (LLC) sharing in heterogeneous computations. To this end, we analyze the behavior of a variety of heterogeneous GPU-CPU benchmarks on different cache configurations. We perform an evaluation of the popular Rodinia benchmark suite modified to leverage the unified memory address space. We find such GPGPU workloads to be mostly insensitive to changes in the cache hierarchy due to the limited interaction and data sharing between GPU and CPU. We then evaluate a set of heterogeneous benchmarks specifically designed to take advantage of the finegrained data sharing and low-overhead synchronization between GPU and CPU cores that these integrated architectures enable. We show how these algorithms are more sensitive to the design of the cache hierarchy, and find that when GPU and CPU share the LLC execution times are reduced by 25% on average, and energy-to-solution by over 20% for all benchmarks.
Acetic Acid Production at High Temperature by Newly Isolated Thermotolerant Acetobacter sicerae A 18

Acetic acid is an important organic acid used in many industries such as rubber processing and food processing. Thermotolerant microorganisms including acetic acid bacteria have been increasingly considered and developed in recent years, since they are able to be potentially and popularly utilized in many different issues of fermentation technology at high temperature, leading efficient production and reducing cooling cost. The objective of this study was to select the thermotolerant acetic acid bacteria for their application in acetic acid fermentation at high temperature. In this study, 9 isolates (A1, A3, A8, A18, A23, A47, A49, A50 and A52) were selected from 20 isolates with the acetic acid production ranged from 1.72% to 2.04% (w/v) at 37°C. The amplified 16SrDNA sequences were employed for the identification of 9 selected strains of acetic acid bacteria. These strains were dominated by representatives from the Acetobacter genus with 4 species such as A. pasteurianus, A. tropicalis, A. orientalis and A. sicerae. Acetobacter sicerae A18 was identified as the most effective fermentative acetic acid bacterial strain at 39°C with acetic acid production was 2.56% (w/v) and productivity was 62.19%. Furthermore, the favorable conditions for acetic acid fermentation by the selected target strain A. sicerae A18 were found as follow: pH at 4.0, ethanol concentration at 5.0% (v/v) and the starter density at 10 5 cells/mL; acid concentration and productivity were 2.82% (w/v) and 66.02%, respectively.
Construction Data-Driven Dynamic Sound Data Training and Hardware Requirements for Autonomous Audio-based Site Monitoring

In a dynamic construction site, sound generated by work activities and equipment operations is one of vital field data indicating construction progress, work performance, and safety issues. However, because of an enormous number of construction work types, accurate sound classification is currently limited. To address this challenge, this study proposes a schedulebased sound classification for establishing dynamic sound training data. With the schedule-based dynamic training method, this system retrieves the types of sounds of daily planned construction activities for flexibly restricting training data types of working sounds and ultimately improving the accuracy of sound classification. To reveal the implications of audio-based construction activity detection and site monitoring frameworks, this study also involves the development of a construction sound library, a hardware system, a sound classification framework, and a web-based visualization method. This proposed method is expected to play a critical role in managing a construction project by supporting site monitoring and progress analysis, and safety
Toxicological Evaluation of Herbal Siddha Preparation Vajjiravalli Chooranam in Rats

The Vajjiravalli chooranam is traditionally used in Siddha system for various skin diseases and pain management and osteo problems. Acute oral toxicity test for the Vajjiravalli chooranam was carried out as per OECD Guidelines 425. Acute toxicity studies were done on Swiss mice for 28 days repeated oral toxicity studies on both sex of Swiss mice under OECD guidelines 425. Acute toxicity studies, Vajjiravalli chooranam was administered single oral dose and observed for 14 days. In Acute toxicity studies no toxic effects were observed up to the dose level of various mg/kg body weight. Sub-acute toxicity studies were carried in four different groups in which Vajjiravalli chooranam was administrated orally to rats once daily for 28 days in various doses ranging from 250mg/kg, 500mg/kg, 1000mg/kg for Swiss mice respectively. Detailed hematological, biochemical, necropsy and histopathological evaluation of organs was performed for all animals. No toxic effect was observed upto 1000mg/kg in sub-acute toxicity studies of Vajjiravalli chooranam. KEW WORD: Vajjiravalli chooranam, Siddha medicine, Toxicity study. ------------------------------------------------------------------------------------------------------------------------------------DateofSubmission:26-01-2019 Date of acceptance: 08-02-2019 ------------------------------------------------------------------------------------------------------------------------------------
Innovative Applications of O . R . A memetic algorithm for graph coloring

0377-2217/$ see front matter 2009 Elsevier B.V. A doi:10.1016/j.ejor. 2009.07. 016 * Corresponding author. Tel. : +33 2 41 73 52 94. E-mail addresses: zhipeng.lui@gmail.com, lu@info info.univ-angers.fr (J.-K. Hao). Given an undirected graph G 1⁄4 ðV ; EÞwith a set V of vertices and a set E of edges, the graph coloring problem consists of partitioning all vertices into k independent sets and the number of used colors k is minimized. This paper presents a memetic algorithm (denoted by MACOL) for solving the problem of graph coloring. The proposed MACOL algorithm integrates several distinguished features such as an adaptive multi-parent crossover (AMPaX) operator and a distance-and-quality based replacement criterion for pool updating. The proposed algorithm is evaluated on the DIMACS challenge benchmarks and computational results show that the proposed MACOL algorithm achieves highly competitive results, compared with 11 state-of-the-art algorithms. The influence of some ingredients of MACOL on its performance is also analyzed. 2009 Elsevier B.V. All rights reserved.