Miracle-dz/UniFAR-FTUs huggingface dataset:
Adversarial Learning-Enabled Automatic WiFi Indoor Radio Map Construction and Adaptation With Mobile Robot

Location-based service (LBS) has become an indispensable part of our daily lives. Realizing accurate LBS in indoor environments is still a challenging task. WiFi fingerprinting-based indoor positioning system (IPS) has achieved encouraging results recently, but the time and labor overhead of constructing a dense WiFi radio map remains the key bottleneck that hinders it for real-world large-scale implementation. In this article, we propose WiGAN an automatic fine-grained indoor ratio map construction and the adaptation scheme empowered by the Gaussian process regression conditioned least-squares generative adversarial networks (GPR-GANs) with a mobile robot. First, we develop a mobile robotic platform that constructs the spatial map and radio map simultaneously in the easily accessed free space. GPR-GAN first establishes a Gaussian process regression (GPR) model using the real received signal strength (RSS) measurements collected by our robotic platform via LiDAR SLAM in the free space. Then, the outputs of the GPR are adopted as the input of GAN’s generator. The learning objective of GAN is to synthesize realistic RSS data in a constrained space where it has not been covered and model the irregular RSS distributions in complex indoor environments. Real-world experiments were conducted in a real-world indoor environment, which confirms the feasibility, high accuracy, and superiority of WiGAN over existing solutions in terms of both RSS estimation accuracy and localization accuracy.
The rhizobiaceae : molecular biology of model plant-associated bacteria

Preface. Color Plates. 1. Molecular Evolutionary Systematics of the Rhizobiaceae P. van Berkum, B.D. Eardly. 2. General Genetic Knowledge M.F. Hynes, T.M. Finan. 3. Outer Membrane Proteins B.J.J. Lugtenberg. 4. Phospholipids and Alternative Membrane Lipids O. Geiger. 5. Cell-Surface beta-Glucans M.W. Breedveld, K.J. Miller. 6. Production of Exopolysaccharides A. Becker, A. Puhler. 7. Lipopolysaccharides and K-Antigens: Their Structures, Biosynthesis and Functions E.L. Kannenberg, et al. 8. Soil Biology of the Rhizobiaceae M.J. Sadowsky, P.H. Graham. 9. Opines and Opine-Like Molecules Involved in Plant-Rhizobiaceae Interactions Y. Dessaux, et al. 10. Conjugal Plasmids and Their Transfer S.K. Farrand. 11. Attachment of Rhizobiaceae to Plant Cells A.G. Matthysse, J.W. Kijne. 12. The Agrobacterium Oncogenes A.N. Binns, P. Costantino. 13. Organization and Regulation of Expression of the Agrobacterium Virulence Genes T.M. Johnson, A. Das. 14. Function of the Ti-Plasmid Vir Proteins: T-Complex Formation and Transfer to the Plant Cell F. de la Cruz, E. Lanka. 15. Role of Virulence Proteins of Agrobacterium in the Plant L. Rossi, et al. 16. Determinants of Host Specificity of Agrobacterium and their Function Wanyin Deng, E.W. Nester. 17. The Use of Agrobacterium for Plant Genetic Engineering K. D'Halluin, J. Botterman. 18. Diversity of Root Nodulation andRhizobial Infection Processes A. -E. Hadri, et al. 19. Genetic Organization and Transcriptional Regulation of Rhizobial Nodulation Genes H.R. M. Schlaman, et al. 20. Functions of Rhizobial Nodulation Genes J.A. Downie. 21. Responses of the Plant to Nod Factors A. -E. Hadri, T. Bisseling. 22. Tissue and Cell Invasion by Rhizobium: The Structure and Development of Infection Threads and Symbiosomes N.J. Brewin. 23. A Survey of Symbiotic Nitrogen Fixation by Rhizobia P.A. Kaminski, et al. 24. Carbon and Nitrogen Metabolism in Rhizobia M.L. Kahn, et al. 25. Evolutionary Aspects of Symbiotic Adaptations, Rhizobium's Contribution to Evolution by Association A. Quispel. 26. Legume Symbiotic Nitrogen Fixation: Agronomic Aspects C.P. Vance. Contributors. Abbreviations. Subject Index.
Molecular mechanisms of TRAF6 function in signaling pathways of the oncogenic viral mimic of CD40, LMP1

Epstein-Barr virus (EBV)-encoded latent membrane protein 1 (LMP1) plays important roles in EBV-mediated B cell transformation, development of EBV-associated malignancies, and exacerbation of certain autoimmune conditions. LMP1 functionally mimics tumor necrosis factor receptor (TNFR) superfamily member CD40, but LMP1 signals are amplified and sustained compared to those induced by CD40. CD40 and LMP1 rely on TNFR-associated factors (TRAFs) to mediate signaling, but use TRAFs differently. TRAF6 is important for CD40 signaling, and was implicated in LMP1 signaling in non-B cells. Here, we addressed the hypothesis that TRAF6 is a critical regulator of a subset of LMP1 signals in B cells. We found that TRAF6 was required for LMP1-mediated kinase activation and costimulatory molecule upregulation, and associated with the LMP1 TRAF1/2/3/5 binding site (TBS). Additionally, TRAF6 and the TBS contributed to LMP1-induced autoreactivity and antibody (Ab) production in vivo. Finally, in contrast to CD40, LMP1 required the TRAF6 receptor-binding domain to mediate TRAF6-dependent pathways. Thus, TRAF6 is critical for LMP1 signaling and requires LMP1 interaction to propagate signals. Importantly, TRAF6 associates with LMP1 in a manner distinct from CD40, raising the possibility of disrupting LMP1 functions while leaving normal CD40 signaling intact. We next investigated roles of the kinase TAK1 in TRAF6-dependent LMP1 functions. TAK1 was required for CD40and LMP1-mediated JNK activation in B cells, leading to IL-6 and Ab production. Understanding mechanisms of CD40 and LMP1 signaling provides important insights into normal regulatory control of CD40 functions and how LMP1-mediated pathogenesis escapes or subverts these regulatory mechanisms. LMP1 itself may be a difficult therapeutic target, because it lacks an extracellular domain and is continually
The black-litterman model hype or improvement?

This thesis explores a popular asset allocation model: the Black-Litterman model. First, an overview is given of the foundations of modern portfolio theory with the mean-variance model and the CAPM. Next, we discuss some improvements that could be made over the mean-variance model. The Black-Litterman model addresses some of these aws and tries to improve them. The model has been described mathematically, and various denitions of the parameters are compared. Finally, an empirical study has been performed to compare the performance of the Black-Litterman model to mean-variance optimization. The models have been compared in a three asset universe that consists of a momentum portfolio, a HML portfolio and a size portfolio. The views of the investor have been forecasted by a regression analysis on factors that describe the economic climate. The regression analysis also provides a consistent manner to specify the uncertainty on the views of the investor. The conclusion can be drawn that BL-model improves on the mean-variance model, in our sample period, however the result is dependent on a well chosen benchmark.
Wind turbine control: open-source software for control education, standardization and compilation

Standardized, easy to use, and preferably open-source research software is an important aspect in supporting and solidifying the wind turbine community. To this end, three contributions in the form of open-source software projects are presented in this paper. First, a community-driven wind turbine baseline controller, the Delft Research Controller (DRC), is presented. The DRC is applicable to high-fidelity simulation software that uses the DISCON controller interface. The controller distinguishes itself by the variety of available control and estimation implementations, its ease of use, and the universal applicability to wind turbine models. Secondly, in the wake of the DRC, the SimulinkDRC graphical controller design and compilation environment has been developed. Users having access to Simulink can benefit from the convenient way of controller development the tool provides. Finally, the FASTTool has been developed for educational purposes, by focusing on the graphical aspect of wind turbine (controller) design. The tool simplifies interaction with the advanced FAST simulation software, by comprehensive visualizations and analysis tools. This paper demonstrates and describes the functionality of all three software projects.
Correlation between Blood Types and Intraabdominal Infection A Preliminary Study

Introduction . Intra-abdominal infection (IAI) remain a clinical problem with high mortality rate. Among factors contributed to this mortality, the important one is blood type that never be considered. It was thought to have correlation with a certain type. Thus, a retrospective study as a preliminary study run to find out the evidence. Method. A descriptive analytic with cross sectional design was run. Data of those diagnosed with intraabdominal infection due to abdominal trauma and gastrointestinal infections managed at dr Cipto Mangunkusumo General Hospital was taken from medical record. ABO blood types and microbial culture results in two groups were the focus of a study and were analyzed statistically. Results. In the study, out of 230 subjects, there were 22 subjects (9.6%) with postoperative intra-abdominal infection were observed during January 2014-March 2016. There was a significant correlation between blood transfusion (p <0.001, OR = 0.02) with intraabdominal infection. However, there was no significant correlations found in blood type to the occurrence of intra-abdominal infection. Conclusion. The study unable to show that blood type has a correlation to intra-abdominal infection in those diagnosed with abdominal trauma and gastrointestinal infections. Keywords : intra-abdominal infection, blood type
The Potential of Some Sub-humid Zone Browse Species as Feed for Ruminants

The overall objective of this study was to determine the most utilized browse species in the sub-humid zone in Burkina Faso, and to evaluate their potential as fodder for ruminants. The behaviour of sheep, goats and cattle was recorded on natural pasture using a direct observation method and farmers were interviewed concerning use of browse species. The phenological and chemical variations over the year were estimated through observations and collection of foliage samples every second week. The foliage biomass was evaluated using complete cutting and weighing. The nutritive value and the effect of feeding these foliages on growth performance were assessed in sheep using a completely randomised design. The browsing activity was about 25% of the total grazing time for all the animal species during the dry season. During the cool season the time spent browsing by goats (17%) was significantly higher than for sheep (7%) and cattle (5%). The plant species with the highest frequency of consumption by animals and most cited as fodder trees by farmers were Acacia dudgeoni Craib. ex Holl. , Ficus gnaphalocarpa (Miq.) A. Rich, Dichrostachys cinerea (L.) Wight & Arn. , Faidherbia albida A. Chevalier, Afzelia africana Sm. ex Pers. , Khaya senegalensis (Desv.) A. Juss. and Pterocarpus erinaceus Poir. The foliage biomass per ha of the last three species differed significantly (0.3, 0.6 and 1.3 t dry matter (dm), respectively). The dm intake and apparent digestibility of dm for A. africana were the highest, 571 g/day and 582 g/kg, respectively. Significant relationships were found between the foliage biomass and the circumference of the crown for A. africana (R2=82%) and P. erinaceus (R2=81%). The growth rate was around 60 g/day when feeding a diet including A. africana and P. erinaceus, higher than with the diet with K. senegalensis (48 g/day). These browse species constitute an important source of nitrogen for domestic ruminants in sub-humid West Africa and should to be promoted in the agrosilvopastoral systems as a dry season fodder reserve and to avoid the risk of extinction.
The Roles of Cellular Receptor Binding Avidity and Other Viral Phenotypes in the Antigenic Drift of Influenza

Despite high vaccination rates and effective adaptive immune responses from the part of infected individuals, influenza A viruses cause significant morbidity and mortality annually. This is due to influenza's rapid antigenic evolution, whereby continual mutations occurring in epitope regions of the virus's hemagglutinin protein result in the diminishment of long-term antibody recognition, in a process that has been termed `antigenic drift'. Although it is clear that antigenic drift enables previously infected individuals to become reinfected, the mechanism that is responsible for influenza's antigenic drift is still under debate. As recently as 2009, a new hypothesis of antigenic drift was put forward that argues that binding avidity changes in the viral hemagglutinin result in antigenic drift as a side effect. This hypothesis stands in contrast to the traditionally accepted hypothesis that mutations in epitope regions are positively selected for their ability to evade immune recognition. This thesis focuses on the use of epidemiological models and empirical data analysis to explore different hypotheses of antigenic drift. In the first chapter, I am asking what effects on antigenic drift rate would be produced under the new hypothesis. I mathematically formulate the hypothesis that antigenic drift is simply a side effect of cellular receptor binding avidity changes that occur as the virus is transmitted between individuals of different immune status levels. I then use this formulation to explore how influenza's rate of antigenic drift depends on different epidemiological factors, including host contact rate, host lifespan, and the duration of infection. Finally, I use the model to assess alternative vaccination strategies by the impact they have on rates of antigenic drift and therewith rates of disease incidence/ In the second chapter, I critically evaluate the binding avidity hypothesis by comparing predictions of the hypothesis against empirical data. I first use a `phylodynamic' extension of the model presented in the first chapter to determine whether the hypothesis is consistent with the ladderlike phylogeny of influenza's hemagglutinin protein. I then use viral sequence data and metadata to determine whether older aged individuals (with a higher number of previous infections) harbor viruses with higher binding avidity than younger aged individuals (with a lower number of previous infections), a prediction made by the binding avidity hypothesis. Finally, I perform a phylogenetic analysis to determine how rapidly binding avidity changes occur. From these analyses, I conclude that the binding avidity hypothesis is not well supported by empirical data. In the third chapter, I develop an integrated viral life cycle model, in which viral replication depends on three viral phenotypes: receptor binding avidity, neuraminidase activity, and antigenicity. This integrated model recognizes that receptor binding avidity changes will influence viral replication, but also allows for antigenic evolution…
Etude des phages de streptococcus agalactiae en lien avec l'origine anatomique, la phylogénie et les propriétés métaboliques des isolats

Notre travail a consiste a rechercher des elements genetiques nouveaux associes aux souchesde Streptococcus agalactiae (SGB) responsables de meningites neonatales (MNN). L'amplification au hasard des ADN genomiques a identifie 3 fragments prophagiquesassocies aux souches a haut risque de MNN. Trente-six phages ont ete isoles a partir desouches invasives et non invasives de SGB. La caracterisation moleculaire a defini sixgroupes moleculaires. L'etude du spectre lytique a montre des particularites pour chacun dessix groupes moleculaires. L'etude des capacites metaboliques de souches de SGB a montreque les souches lysogenes appartenant aux lignees phylogenetiques impliquees dans les MNNet presentent des pertes cataboliques. Les transferts genetiques horizontaux qui marquent lesclones des MNN ne semblent pas jouer un role dans la resistance aux macrolides. Desmecanismes de transduction ont joue un role important dans l'emergence de ligneesphylogenetiques impliquees dans les MNN.
Noise shaping in SAR ADC

The successive approximation register (SAR) analog-to-digital converter (ADC) is currently the most popular type of ADC architecture, owing to its power efficiency. They are also used in multichannel systems, where power efficiency is of high importance because of the large number of simultaneously working channels. However, the SAR ADC architecture is not the most area efficient. In SAR ADCs, the binary weighted capacitive digital-to-analog converter (DAC) is used, which means that one additional bit of resolution costs double the increase of area. Oversampling and noise shaping are methods that allow an increase in resolution without an increase of area. In this paper we present the new SAR ADC architectures with a noise shaping. A first-order noise transfer function (NTF) with zero located nearly at one can be achieved. We propose two modifications of the architecture: with zero-only NTF and with the NTF with additional pole. The additional pole theoretically increases the efficiency of noise shaping to further 3 dB. The architectures were applied to the design of SAR ADCs in a 65 nm complementary metal-oxide semiconductor (CMOS) with OSR equal to 10. A 6-bit capacitive DAC was used. The proposed architectures provide nearly 4 additional bits in ENOB. The equalent input bandwitdth is equal to 200 kHz with the sampling rate equal to 4 MS/s.
Dependency and Valency Approaches

This chapter provides a survey of various approaches within the field of dependency grammar. First, the basic concepts of Tesnière’s Éléments de syntaxe structurale (1959) such as actants, circonstants, junction, and translation are outlined. Then the application of the concept of dependency in different approaches such as that taken in Hudson’s Word Grammar and in Mel’čuk’s approach are discussed. Section 7.4 focuses on the development of valency theory and related approaches and their application to English, discussing the complement–adjunct distinction, the idea of optionality of complements and the approach taken to the description of valency in the Valency Dictionary of English. Finally, it will be shown how valency and dependency can be related to more recent constructionist theories.
Means of Optimizing Physical Activity in the Preschool Environment

During early childhood, the preschool years serve as a formative time for the development of movement skills and healthy, active behaviors. Currently, one fifth of children in this population are overweight or obese and only half of the children participate in sufficient activity to meet recommendations. Physical activity guidelines for preschool children include both structured and unstructured activities of various intensities, limitations on sedentary behaviors, fundamental motor skill competence, and the inclusion of caregivers to facilitate activity. The majority of US children are enrolled in preschool programs, so this environment has the potential to significantly influence young children’s activity levels. Factors that have been associated with physical activity levels within the preschool setting include the influence of caregivers, the preschool environment, outdoor play, and motor skill development and competence. This review evaluated 16 publications in order to examine whether these factors had a significant impact on physical activity in the preschool setting. The findings from this review suggest the use of a multicomponent model, including the factors evaluated, may be the optimal strategy to increase activity levels in preschool children. Policy related to these factors should be created and implemented in order to facilitate optimal physical activity environments for preschool children.
Vision Based In-Situ Calibration of Robots

The majority of today's industrial robots are programmed to follow a predefined trajectory. This is sufficient when the robot is working in a fixed environment where all objects of interest are situated in a predetermined position relative to the robot base. However, if the robot's position is altered, all the trajectories have to be reprogrammed for the robot to be able to perform its tasks. The manipulator considered in this thesis is attached to an ROV (Remote Operating Vehicle). Every time the robot is repositioned, it needs to estimate its position and orientation relative to the work environment. The ROV operates at great depths and there are few sensors which can operate at extreme depths. This is the incentive for the use of computer vision to estimate the relative position of the manipulator. Through cameras, the position of the manipulator is estimated. This information is sent to controllers to correct the pre-programmed trajectories. This work includes camera calibration and calibration of the structure of the manipulator. The increased accuracies achieved by these steps are merged to achieve in-situ calibration of the manipulator base.
Role of phenolic metabolism in the defense of the olive-tree against leaf-spot disease caused by Spilocaea oleagina.

In order to study the role of phenolic metabolism in the defense of the olive-tree against Spilocaea oleagina, three defense components: soluble phenols, parietal phenols, lignin and phenylalanine ammonia-lyase (PAL), were studied in two different varieties: a resistant (Picholine du Languedoc) and a susceptible (Moroccan Picholine). The inoculation of olive-tree leaves by Spilocaea oleagina induces a foliar necrosis whose speed of onset and expansion distinguishes clearly the two studied varieties according to their behaviour to the leaf-spot disease. For the resistant variety, these symptoms are composed of small necrotic lesions, whereas for the susceptible variety, they appear as extended necrotic spots. These symptoms are accompanied by an increase in the accumulation of the contents of soluble and parietal phenols, the intensification of the lignification and the induction of the PAL activity of which the speed and intensity plainly distinguish both varieties under study. These results reveal that the response of phenolic metabolism to the resistance of the olive tree to the leaf-spot disease appears to occur in the early stages of infection leading to an increase in the biosynthesis of the contents of three defense components (soluble phenols, parietal phenols and lignin). © 2013 Friends Science Publishers
The Halo Effect Fallacy

The halo effect fallacy is the fallacy of concluding from a perceived single positive trait of a person to the conclusion of a generally positive assessment of that person. The halo effect fallacy is based on the "halo effect," a psychological tendency many people have in judging others based on one trait that they approve of and concluding that the person must have other attractive traits. This one trait leads to the formation of an overall positive opinion of the person on the basis of that one perceived positive trait. For example, people judged to be "attractive" are often assumed to have other qualities such as intelligence or moral virtue to a greater degree than people judged to be of "average" appearance. Another common example is that people who are skilled in public speaking are assumed to have other desirable traits, e.g. "He’s such a wonderful speaker, I bet he’d make a great CEO. " These judgments are instances of the halo effect fallacy.