Miracle-dz/UniFAR-FTUs huggingface dataset:
GTOC9: Results from the National University of Defense Technology (team NUDT)

The ninth edition of the Global Trajectory Optimization Competition (GTOC) series was successfully organized in April 2017, wherein the competitors were called to design a series of missions able to remove a set of 123 orbiting debris pieces while minimizing the overall cumulative cost. A three-level optimization framework of the NUDT Team is presented and an improved Ant colony Optimization Algorithm, a hybrid-encoding Genetic Algorithm and an improved Differential Evolution algorithm are applied to solve the complex problem, which combines the dynamic TSP, mixed-integer sequence optimization and perturbed trajectory rendezvous optimization. The result obtained during the competition ranked second in the eventual leaderboard.
JaTeCS , a Java library focused on automatic text categorization

JaTeCS is an open source Java library focused on automatic text categorization. It covers all the steps of an experimental activity, from reading the corpus to the evaluation of the results. JaTeCS focuses on text as the central input, and its code is optimized for this type of data. As with many other machine learning (ML) frameworks, JaTeCS provides data readers for many formats and well-known corpora, NLP tools, feature selection and weighting methods, the implementation of many ML algorithms as well as wrappers for well-known external software (e.g., lib-SVM, SVM light ). JaTeCS also provides the implementation of methods related to text classiﬁcation that are rarely, if never, provided by other ML framework (e.g., active learning, quantiﬁcation, transfer learning).
Frequencies of Th2 Cells Encephalomyelitis in the Presence of High Th1 Cells and Experimental Autoimmune Incomplete Freund's Adjuvant: Induction of Response to Neuroantigens Injected in Pertussis Toxin Modulates the Immune

Pertussis toxin (PT) has been widely used to facilitate the induction of experimental autoimmune encephalomyelitis (EAE) in rodents. It has been suggested that this microbial product promotes EAE by opening up the blood-brain barrier and thereby facilitates the migration of pathogenic T cells to the CNS. However, PT has other biological effects that could contribute to its activity in EAE, such as enhancing the cytokine production by T cells and induction of lymphocytosis. In this work, we investigated the effects of PT on the pathogenicity, cytokine differentiation, and clonal sizes of neuroantigen-reactive T cells in EAE in mice. Our results show that PT prevented the protection from EAE conferred by injection of PLPp139–151 in IFA and induced high frequencies of peptide-speciﬁc Th1 cells and disease. Interestingly, the mice developed EAE despite the simultaneous vigorous clonal expansion of PLPp139–151-speciﬁc Th2 cells. The data indicate that the Th2 cells in this model neither were protective against EAE nor promoted the disease. Furthermore, the results suggested that the effects of the toxin on neuroantigen-reactive T cells were promoted by the PT-induced activation of APCs in lymphoid tissues and the CNS. Together, the results suggest that microbial products, such as PT, could contribute to the initiation of autoimmune disease by modulating the interaction between the innate and adaptive immune system in the response to self Ags. The Journal of Immunology, 2002, 169: 117–125.
Cross‐polarisation discrimination models assessment and improvement on earth‐space propagation paths at Ka and V‐bands

The performance of the satellite communication systems employing polarisation diversity or frequency-reuse schemes to improve the spectral efficiency is degraded due to the depolarisation-induced interference originated by raindrops and ice particles present along the Earth-Space propagation path. Two models account for both rain and ice contributions. One predicts the long-term cumulative distribution function (CDF) of cross-polarisation discrimination (XPD). The other predicts the relationship between XPD and co-polar attenuation (CPA) and it was derived considering exclusively data at the V-band. In this study, the former model is improved by considering the individual ice and rain contributions and their combined effects, while the latter is validated against new measurements at the Ka band. New models are then proposed for the XPD-CPA relationships at the Ka-band taking into account both rain and ice contributions and also their combined effects. Finally, the predictions provided by the first model are usually converted to the corresponding XPD-CPA relationship using the long-term first-order statistics of rain attenuation, (incorrectly) considering that the equiprobability hypothesis applies. A new approach for the conversion of the XPD CDF into the corresponding XPD-CPA relationship is presented.
Change-Enabled Software System

Few real software systems are built completely from scratch nowadays. Instead, systems are built iteratively and incrementally, while integrating and interacting with components from many other systems. Adaptation, reconﬁguration and evolution are normal, ongoing processes throughout the lifecycle of a software system. Nevertheless the platforms, tools and environments we use to develop software are still largely based on an outmoded model that presupposes that software systems are closed and will not signiﬁcantly evolve after deployment. We claim that in order to enable eﬀective and graceful evolution of modern software systems, we must make these systems more amenable to change by (i) providing explicit, ﬁrst-class models of software artifacts, change, and history at the level of the platform, (ii) continuously analysing static and dynamic evolution to track emergent properties, and (iii) closing the gap between the domain model and the developers’ view of the evolving system. We outline our vision of dynamic, evolving software systems and identify the research challenges to realizing this vision.
Bacterial Wall as Target for Attack: Past, Present, and Future Research

INTRODUCTION . 673 TERMS USED IN THIS REVIEW.674 HISTORY OF THE STUDY OF BACTERIAL WALLS.674 Fleming: Useful Antibiosis.674 The Oxford School (Florey et al.): Applied Microbiology and Chemistry.674 Salton, Park, and Strominger: Murein Wall . 675 Jacob, Hirota, and Spratt: Two-Minute Region and PBPs.675 Weidel and Pelzer: Function of the Murein Sacculus . 676 Schwarz et al. and Nanninga et al.: Wall Synthesis and Cellular Size Control.676 Koch, Higgins, and Doyle: Safe Enlargement.676 Cole, Doyle, Archibald, Koch, Woldringh, and De Pedro: Special Role of Poles.677 Höltje and Schwarz: Critical Analysis of Murein Composition.677 Abramson and Chain: Bacterial Resistance to Antibiotics.677 The Industrial Contribution: Course of -Lactam Antibiotic Development.678 FROM THE EVOLUTION OF LIFE TO THE DEVELOPMENT OF DIVERSITY . 678 Preamble to Life.678 The First Cell . 678 Development of Cell Physiology and, Finally, Diversity.678 STRUCTURE OF THE FABRIC THAT ENCLOSES THE BACTERIUM . 679 Covalent Bonds and the Tensile Strength of Biomaterials.679 Structure of a Disaccharide Pentamuropeptide . 679 Insertion of a Muropeptide into the Wall Fabric . 680 Structure of the Tessera: Unit Structure of the Stress-Bearing Part of the Wall.680 Sacculus: Raison d’Être, Its Formation and Function.680 Poles of Bacterial Cells . 681 DEVELOPMENT OF WALL ANTIBIOTICS AND COUNTERMEASURES . 681 -Lactam Production . 681 -Lactamases.682 -Lactamase-Resistant -Lactams Extant before Medicinal Chemists.683 Overview of Early -Lactam Evolution . 683 Turgor Pressure Responses to Wall Antibiotics.683 METHICILLIN-RESISTANT STAPHYLOCOCCUS AUREUS.684 LACTAM ANTIBIOTICS AND VARIANTS TODAY . 684 -Lactamases Destroying -Lactams in the Current Antibiotic Era.684 Initial Manufacture of Penicillins and the Microbiological Sequelae . 684 Novel -Lactams . 685 Extended-Spectrum -Lactamases and Cephalosporinases . 685 CONCLUSIONS AND THE FUTURE . 685 REFERENCES . 686
Irondepletiona¡ectsnitrogenaseactivityand expressionof nifH

andnifAgenes inHerbaspirillumseropedicae Federico Rosconi, Emanuel M. Souza, Fabio O. Pedrosa, Raúl A. Platero, Cecilia González, Marcela González, Silvia Batista, Paul R. Gill & Elena R. Fabiano Laboratorio de Ecologı́a Microbiana, Instituto de Investigaciones Biológicas Clemente Estable-MEC, Unidad Asociada a Facultad de Ciencias-UdelaR, Montevideo, Uruguay; Departamento de Bioquı́mica e Biologia Molecular, UFPR, Curitiba, PR, Brazil; Departamento de Bioquı́mica, IIBCE-MEC, Montevideo, Uruguay; and Laboratorio de Tecnologı́a Molecular, Facultad de Ciencias-UdelaR, Montevideo, Uruguay
Noise-Induced Transitions in a Simplified Model of the Thermohaline Circulation

A simplified box ocean model for the North Atlantic is used to study the influence of multiplicative shortterm climate variability on the stability and long-term dynamics of the North Atlantic thermohaline circulation. A timescale separation between fast temperature and slow salinity fluctuations is used to decouple the dynamical equations resulting in a multiplicative stochastic differential equation for salinity. As a result the qualitative behavior and the stability of the thermohaline circulation become a function of the noise level. This can be understood in terms of the concept of noise-induced transitions. Furthermore, the role of nonvanishing noise autocorrelation times on the dynamics of the thermohaline circulation is investigated. Red noise temperature forcing generates new equilibria, which do not have a deterministic counterpart. This study suggests that noiseinduced transitions might have climate relevance.
Curve Extraction Using Minimal Path Propagation Backtracking and Hough Transform

: This paper proposes an approach termed minimal path propagation with backtracking and hough transform. It was found that the information in the process of backtracking from reached points can be well utilized to overcome the problems faced in existing methods and improve the extraction performance. The whole algorithm is robust to parameter setting and allows a coarse setting of the starting point. Minimal path techniques can absolutely delineate geometrically curve-like structures by finding the path with minimal accumulated cost between the endpoints. Curve extraction have found wide practical applications such as line identification, crack detection, and vascular centerline extraction.
Receptor 2 (CD21) on Primary B Cells by Docking to the Human Complement Transactivates the HERV-K18 Superantigen Cutting Edge: Epstein-Barr Virus

EBV, a ubiquitous human herpesvirus, is the causative agent of infectious mononucleosis and is associated with many carcinomas. We have previously shown that the EBV latent genes LMP-1 and LMP-2A (for latent membrane proteins 1 and 2A), transactivate a human endogenous retrovirus (HERV), HERV-K18, in infected B lymphocytes. The envelope (Env) protein of HERV-K18 encodes a superantigen that strongly stimulates a large number of T cells. In this study we report that HERV-K18 env is transactivated even earlier in the infection process, before the establishment of latency; namely, we found that EBV, through its interaction with its cellular receptor CD21, induces the HERV-K18 env gene in resting B lymphocytes. This transactivation is direct and immediate, as up-regulation of transcripts can be detected within 30 min after EBV exposure. Thus, EBV binding to human CD21 on resting B cells triggers the expression of an endogenous superantigen. The biological significance of this superantigen expression for the EBV life cycle is discussed. The Journal of Immunology, 2006, 177: 2056–2060.
Generalized Partial Linear Model, Profile Likelihood Method, Generalized Speckman Method, Back-Fitting Method, Bayesian Estimation

In this article we propose a Bayesian regression model called the Bayesian generalized partial linear model which extends the generalized partial linear model. We consider Bayesian estimation and inference of parameters for the generalized partial linear model (GPLM) using some multivariate conjugate prior distributions under the square error loss function. We propose an algorithm for estimating the GPLM parameters using Bayesian theorem in more detail. Finally, comparisons are made between the GPLM estimators using Bayesian approach and the classical approach via a simulation study.
MigrationReceptors Controls NK Cell Transendothelial Activation by Chemokine and Integrin Proline-Rich Tyrosine Kinase 2 and Rac

Protein tyrosine kinase activation is an important requisite for leukocyte migration. Herein we demonstrate that NK cell binding to endothelium activates proline-rich tyrosine kinase 2 (Pyk-2) and the small GTP binding protein Rac that are coupled to integrin and chemokine receptors. Chemokine-mediated, but not integrin-mediated, Pyk-2 and Rac activation was sensitive to pretreatment of NK cells with pertussis toxin, a pharmacological inhibitor of G i protein-coupled receptors. Both Pyk-2 and Rac are functionally involved in chemokine-induced NK cell migration through endothelium or ICAM-1 or VCAM-1 adhesive proteins, as shown by the use of recombinant vaccinia viruses encoding dominant negative mutants of Pyk-2 and Rac. Moreover, we found that Pyk-2 is associated with the Rac guanine nucleotide exchange factor Vav, which undergoes tyrosine phosphorylation upon integrin triggering. Finally, we provide direct evidence for the involvement of Pyk-2 in the control of both chemokine- and integrin-mediated Rac activation. Collectively, our results indicate that Pyk-2 acts as a receptor-proximal link between integrin and chemokine receptor signaling, and the Pyk-2/Rac pathway plays a pivotal role in the control of NK cell transendothelial migration. The Journal of Immunology, 2003, 170: 3065–3073.
Online Appendix for Aggregating Privacy-Conscious DERs for Grid Service Provision

This document serves as the electronic companion of the paper “Aggregating Privacy-Conscious DERs for Grid Service Provision”. Appendix A presents a quick summary of the privacy-protection algorithm used in Section II-B, Appendix B shows the convexity of the approximate mutual information function used in Section II-B, and Appendix C presents the gradients for the optimisation problem in Section III.
Supporting Active Participation and Situated Use in Mobile Interaction Design

—Most mobile applications are designed for interaction only when a user is standing still and able to pay visual and mental attention to the device. New interaction techniques are needed to replace this “stop-to-interact” paradigm. But how can we design for novel non-idiomatic mobile interactions? To inform the mobile interaction design process, I propose a design methodology driven by situated use and active participation. I draw upon a case study co-designing mobile hand gesture interfaces with runners to illustrate how the use of participatory design workshop and field study in a coherent manner can support the design of novel mobile interfaces.
High Dimensional Video-based Face Recognition

—High dimensional data is the challenging task in Video-based Face Recognition system. Due to the curse of dimensionality, it needs a more memory space and more processing time (training or testing time). We propose a novel approach of concatenation of Graph Wavelet (GW) and Multi-radius Local Binary Pattern (MRLBP) to Video-based Face Recognition. After pre-processing step, the combination of Graph Wavelet (GW) and Multi-radius Local Binary Pattern (MRLBP) provide a ﬂexible model to extract the data features of video and image face database. Independent component Analysis (ICA) is used to reduce these data features. Euclidean distance (ED) is used for matching the data features. Different experiments has been done with different face databases (Casia database for image to image recognition and NRC-IIT & HONDA-UCSD for video to video recognition). Experimental results show that the system achieves better performance, more accuracy, less processing time and less memory space than other video-based face recognition (VFR) algorithms on challenging, high dimensional video face databases and thus advancing the state-of-the-art.
Perspectives on Smart Maintenance Technologies-A Case Study in Large Manufacturing Companies

The manufacturing industry faces significant technical challenges due to the industry 4.0 technologies, which play an essential role in maintenance development. Maintenance in industry 4.0, also named smart maintenance, maintenance 4.0, predictive maintenance, etc., is boosted using industry 4.0 technologies, such as Industrial Internet of Things (IIoT), Big Data and Analytics, Cloud Computing, Augmented Reality (AR), Additive Manufacturing (AM), etc. Previous research presents several smart maintenance technologies, but the manufacturing industry still finds it challenging to implement the technologies costeffectively. One problem is that there is insufficient research on how smart maintenance technologies can be implemented cost-effectively and add value to the manufacturing industry. Therefore, this paper aims to explore perspectives on smart maintenance technologies: 1) if there are any implemented smart maintenance technologies, 2) in what context, 3) added values, 4) challenges, 5) opportunities, 6) advantages, and 7) disadvantages with the technologies. This paper presents the results of a case study based on an online open questionnaire with respondents working in maintenance organizations in large manufacturing companies.
User Sensitive Data Identification Method Based on Constraint Gaussian Mixture-Probability Hypothesis Density Filter

— In order to identify the sensitive data of users in Internet, a sensitive data identification method is proposed by weight constraint Gaussian Mixture-Probability Hypothesis Density (GM-PHD) filter and Restricted Boltzmann Machines (RBM) in this thesis. At first, the data is normalized with weight constraint in this method, and the random network is formed by the definition of the collected characteristic simulation energy function of RBM. Then, the sensitive feature weight of sensitive data is generated in GM-PHD filter. Finally, the simulation experiments are conducted to study this method performance compared with GM-PGD filter, Gaussian filter by MATLAB, including filtering and tracking performance, relevancy degree, sensitive words weight, cluster mapping and high frequency approximation. The results show that, compared with other methods, this method has better performance.
COMPARATIVE STUDIES OF DIFFUSION MODELS AND ARTIFICIAL NEURAL INTELLIGENCE ON ELECTROCHEMICAL PROCESS OF U AND Zr DISSOLUTIONS IN LiCl-KCl EUTECTIC SALTS

xx 1. Chapter 1: Introduction.1 1.1 Purpose 1 1.2 Motivation 2 1.3 Approach 4 1.4 Organization of the Dissertation 6 2. Chapter 2: Review of Electrochemical Process.8 2.1 Pyroprocessing 8 2.2 Electro refinery (ER) 10 2.3 Cyclic Voltammetry (CV) 13 3 Chapter 3: Diffusion Model and Simulation.16 3.1 Analysis of Diffusion Coefficient and Apparent Standard Potential 16 3.2 Numerical Method and Approach of Diffusion Model 19 3.2.1 Fundamental Equations 19 3.2.2 Current and Potential for the Reversible Part 20
Application of VLF/LF databases in improving of Earth observations and positioning by SAR and GNSS signals

In this study we present one example of application of the databases collected in low ionospheric monitoring by VLF/LF radio waves relevant for the Earth’s observations and positioning by SAR and GNSS signals. We analyze contribution of the perturbed ionospheric D-region in propagation delay of this signals and the results of this analysis indicate the need for inclusion of this atmospheric layer in modeling of SAR/GNSS signal propagation. Keeping in mind that its influence is usually ignored in modeling of the ionospheric influence on satellite signals, this conclusion can be of high priority in preciously positioning, Earth’s observations, analyses and emergency responses to changes caused by natural disasters and in many other areas of human activities.
Peptide/MHC tetramer-based sorting of CD8 + T cells to a leukemia antigen yields clonotypes drawn nonspecifically from an underlying restricted repertoire

Testing of T cell-based cancer therapeutics often involves measuring cancer antigen-specific T-cell populations with the assumption that they arise from in vivo clonal expansion. This analysis, using peptide/MHC tetramers, is often ambiguous. From a leukemia cell line, we identified a CDK4-derived peptide epitope, UNC-CDK4-1 (ALTPVVVTL) that bound HLA-A*02:01 with high affinity and could induce CD8 + T-cell responses in vitro . We identified UNC-CDK4-1/HLA-A*02:01 tetramer + populations in 3 of 6 patients with acute myeloid leukemia who had undergone allogeneic stem cell transplant (SCT). Using tetramer-based, single-cell sorting and T-cell receptor β (TCRβ) sequencing we identified recurrent UNC-CDK4-1 tetramer-associated TCRβ clonotypes in a patient with a UNC-CDK4-1 tetramer + population, suggesting in vivo T-cell expansion to UNC-CDK4-1. In parallel, we measured the patient’s TCRβ repertoire and found it to be highly restricted / oligoclonal. The UNC-CDK4-1 tetramer-associated TCRβ clonotypes represented >17% of the entire TCRβ repertoire – far in excess of the UNC-CDK4-1 tetramer + frequency, indicating that the recurrent TCRβ clonotypes identified from UNC-CDK-4-1 tetramer + cells were likely a consequence of the extremely constrained T-cell repertoire in the patient and not in vivo UNC-CDK4-1-driven clonal T-cell expansion. Mapping or vivo .
MEIS1 and BTBD9-genetic association with RLS in end-stage renal disease

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. MEIS1 and BTBD9 genetic association with RLS in end-stage renal disease Barbara Schormair, Jens Plag, Maria Kaffe, Nadine Gross, Darina Czamara, Walter Samtleben, Peter Lichtner, Andreas Ströhle, Ioannis Stefanidis, Andreas Vainas, et al.
MnTBAP, a syntheticmetalloporphyrin, inhibits productionof tumor necrosis factor-a in lipopolysaccharide-stimulatedRAW 264.7macrophages cellsvia inhibitingoxidative stress-mediating p38andSAPK/JNKsignaling

Antioxidants are able to inhibit inflammatory gene expression in response to lipopolysaccharide via down-regulating generation of intracellular reactive oxygen species (ROS) as second messengers. The effect of manganese (III) tetrakis (4benzoic acid) porphyrin (MnTBAP), a synthetic metalloporphyrin with antioxidant activity, on tumor necrosis factor (TNF)-a production in lipopolysaccharide-stimulated RAW 264.7 macrophage cells was examined. MnTBAP prevented the generation of intracellular ROS in lipopolysaccharide-stimulated RAW 264.7 cells and further inhibited lipopolysaccharide-induced TNF-a production. MnTBAP exclusively prevented the phosphorylation of p38 mitogen-activated protein kinase (MAPK) and stress-activated protein kinase (SAPK/JNK) whereas it did not affect the phosphorylation and activation of nuclear factor-kB and extracellular signal regulated kinase 1/2. MnTBAP was suggested to inhibit lipopolysaccharide-induced TNF-a production by the prevention of intracellular ROS generation and subsequent inactivation of p38 MAPK and SAPK/JNK.