Miracle-dz/UniFAR-FTUs huggingface dataset:
Myeloid-Derived Suppressor Cells are relevant factors to predict the severity of multiple sclerosis

Multiple Sclerosis (MS) is a highly heterogeneous demyelinating disease of the central nervous system (CNS) that needs for reliable biomarkers to foresee disease severity. Previous retrospective investigations in the MS model, experimental autoimmune encephalomyelitis (EAE), highlighted the important relationship between monocytic-myeloid-derived suppressor cells (M-MDSCs) and the experimented severity of the clinical course. In this work, we show for the first time cells resembling M-MDSCs associated to MS lesions, whose abundance was related to milder MS clinical courses. Moreover, Ly-6Chi cells (which are indistinguishable from circulating M-MDSCs in mice) are useful biomarkers to predict a milder severity of the EAE disease course and a lesser tissue damage extent. Finally, the abundance of M-MDSCs in blood from untreated MS patients at their first relapse was inversely correlated with EDSS at baseline and relapse recovery one-year later. In summary, our data point to M-MDSC load as a promising biomarker of patient’s clinical course severity. Teaser The abundance of myeloid-derived suppressor cells is related to a milder clinical course in multiple sclerosis patients.
The “Alu-ome” shapes the epigenetic environment of regulatory elements controlling cellular defense

Promoters and enhancers are sites of transcription initiation (TSSs) and carry active histone modifications, including H3K4me1, H3K4me3, and H3K27ac. Yet, the principles governing the boundaries of such regulatory elements are still poorly characterized. Alu elements are good candidates for a boundary function, being highly abundant in gene-rich regions, while essentially excluded from regulatory elements. Here, we show that the interval from the TSS to the first upstream Alu accommodates all H3K4me3 and most H3K27ac marks, while excluding DNA methylation. Remarkably, the average length of this intervals greatly varies in-between tissues, being longer in stem-and shorter in immune-cells. The very shortest TSS-to-Alu intervals were observed at promoters active in T cells, particularly at immune genes, correlating with RNA polymerase II transcription through the first Alu and accumulation of H3K4me1 signal on this first Alu. Finally, DNA methylation at first-Alus was found to evolved with age, regressing from young to middle-aged, then recovering later in life. Thus, the first Alus upstream of TSSs appear as dynamic boundaries marking the transition from DNA methylation to active histone modifications at regulatory elements, while also participating in the recording of immune gene transcriptional events by positioning H3K4me1-modified nucleosomes.
Um Estudo Exploratório sobre a Satisfação do Usuário de Sistemas de Software

This work focuses on the user satisfaction of soft ware products, proposing a model to evaluate the user satisfaction and discussing a research, based on the proposed model, which evaluated the us er satisfaction of a software applied to the educational management area . The model is presented and the planning, implementation, data analysis and results of the research are discussed. The work aims at contributing to the evaluation of user satisfaction as well as to the quality improvement of software products. Resumo. Este trabalho trata da satisfação do usuário de pr odutos de software, apresentando um modelo para avaliar a sat isfação do usuário e discutindo uma pesquisa, realizada, com base no mod elo proposto, junto a usuários de um software de gestão acadêmica. O plan ejamento, implementação, análise de dados e resultados da pes quisa são apresentados. O trabalho visa contribuir para a avaliação da sati sfação do usuário e para a melhoria da qualidade de sistemas de software.
Desenvolvimento de um Processo de Software Aderente à ISO 9001: 2000 Baseado no Processo Ágil Scrum

This paper describes how the research and developm ent department of a mobile devices company developed a process com pliant to ISO 9001:2000 for use in Scrum-based projects in software develop ment, based on the experience and history in the use of this agile pro cess in former projects, maintaining its quality system compliant to ISO 900 1:2 00, getting certified in this standard, and improving its projects performan ce. Resumo. Este artigo descreve como o departamento de pesqui sa e desenvolvimento de uma empresa de dispositivos móve is desenvolveu um processo aderente à ISO 9001:2000 para uso em proje tos que utilizam o processo Scrum no desenvolvimento de software, base ando-se na experiência e histórico do uso desse processo ágil em projetos antigos, mantendo seu sistema da qualidade aderente à ISO 9001:2000, obte ndo a certificação neste padrão e melhorando o desempenho de seus projetos.
PASS: Processo de Apoio à Segurança de Software

The need of developing software products with increased quality demanded the creation of standards and maturity models related to the quality of development process and software products. However, despite the investment made in software processes development, there is still no assurance that the developed systems are immune to attacks or do not present security problems. This paper proposes a formal process aimed at improving software security, the Process to Support Software Security (PSSS)
A szervezeti kultúra mérési kultúrája: kérdőív-tipológia és kulcsdimenziók

A tanulmany celja, hogy bemutassa a kerdőives felmeresek szerepet a szervezeti kultura kutatasokban. A kitűzott cel elerese erdekeben a szerző: 1) elhelyezi a kerdőives kulturakutatasokat a szervezeti kultura kutatasi tereben; 2) a szervezeti kultura kerdőiv-tipusait definialja az altaluk vizsgalt kulturaszint (magatartas, ertek) es az elemzes fokuszaban allo osszefugges (vagy annak hianya) fuggvenyeben (kultura – teljesitmeny, kulturalis illeszkedes); 3) meghatarozza a kulturalis kulcsdimenziokat.
Pentoxifyffine (Trental) Does Not Inhibit Dipyridamole-Induced Coronary Hyperemia: Implications for Dipyridamole-Thaffium-20 1 Myocardial Imaging

mittent claudication because of its unique hemorrheo logic effects (9). Thus, many patients with peripheral vascular disease who undergo dipyridamole-thallium 201 imaging may be taking pentoxifylline at the time of their study. Although in vitro data from rat fat cells and hippocampal slices suggest that pentoxifylline is a much weaker adenosine antagonist than theophylline (7), it is not known whetherpentoxifylline significantly inhibits dipyridamole-induced coronary hyperemia in vivo and should, therefore, be stopped prior to dipyri damole-thallium-20l imaging. Hence, we studied the coronary hyperemic response to dipyridamole in open chest anesthetized dogs in the control state and after pretreatment with pentoxifylline.
Black Boxes and Theory Deserts: Deep Networks and Epistemic Opacity in the Cognitive Sciences

Cognitive scientists deal with technology in a very particular way: they use technology to understand perception, action, and cognition. This particular form of human-machine interaction (HMI) is very well illustrated by the use cognitive scientists make of artificial neural networks as models of cognitive systems and, more concretely, of the brain. However, the activity of cognitive scientists in this context suffers from the shortcoming of epistemic opacity: artificial neural networks are too difficult to interpret and understand, so in many cases they remain black boxes for researchers. In this paper, we provide a diagnostic for such epistemic opacity based on dominant cognitive science’s lack of theoretical resources to account for the activity of artificial neural networks when taken as models of the brain. Then, we offer the guidelines of a solution founded on the notion of information developed in ecological psychology.
Determinants of capital structure: an empirical study of the manufacturing sector at Ecuador

The objective of this study is to discover the determinants of the capital structure of 304 companies in the manufacturing sector of Guayaquil, during the period 2012-2016 and which theory best condenses the financing decisions of companies. The importance of it lies in verifying the determinants of indebtedness in companies in a developing country and comparing the results with the predictions of the Trade-off and the Pecking Order theories. As a methodology, a panel data structure has been used together with a fixed effects model. After reviewing the literature, an Ordinary Least Squares regression model was used to discover the correlation and statistical significance between the dependent variable (debt ratio) and a set of selected independent variables. In this study, the Pecking Order theory had a greater explanatory power than the Trade-off theory. However, no statistical evidence was found to support the importance of growth expectations on the corporate capital structure.
A New Version of Weighted Weibull Distribution: Modelling to COVID-19 Data

In this study, we will look at a new flexible model known as the new double-weighted Weibull distribution. The new Weibull double-weighted distribution model is highly versatile because numerous submodels are included. The proposed model is very flexible because its density function has many shapes; it can be right skewness, decreasing, and unimodal. Also, the hazard rate function can be increasing, decreasing, up-side-down, and J-shaped. Diverse features of the novel are computed. These qualities include moments, incomplete moments, and Lorenz and Bonferroni curves and quantiles, as well as entropy and order statistics. The maximum likelihood approach is used to estimate the model's parameters. In order to evaluate the accuracy and performance of maximum likelihood estimators, simulation data are presented. The utility and adaptability of the proposed model are demonstrated by utilizing three significant datasets: daily fatalities confirmed cases of COVID-19 in Egypt and Georgia and relief times of twenty patients using an analgesic.
IMAGE COLORIZATION USING DEEP LEARNING

: : Image colorization is a captivating subject matter and has emerge as a place of studies withinside the latest years. In this task, we're going to colorize black and white images with the assist of Deep Learning techniques. We are constructing a Deep Convolutional Neural Network (CNN) so that it will study on over one million images . The output generated through the pre-skilled version is completely depending on the images it's been skilled from scratch with high-stage capabilities extracted without direct human assistance. The images are taken from specific sources like Inception, ResNet-v2 and ImageNet, etc. We present a convolutional-neural model-primarily based totally gadget that faithfully colorizes black and white photographic pixel. We discover numerous network architectures, objectives, color spaces, and problem formulations. In this task we are trying to recolor B/W or Grayscale images the usage of Convolutional Neural Networks. Our utility pursuits to recolor desaturated images through making use of a color overlay of a particular opacity over a specific area. We train our neural model with B/W picture as input and additionally the real picture as output. The minimization of-color distinction among the colored picture and the real picture will make certain usage by training a network.
Development of an Optimal and Delay Based Routing Algorithm for MANETs using Intelligent Agent Fuzzy Logic

In this paper, we present a delay based routing algorithm for ad hoc wireless networks. In an ad hoc environment there is no wired infrastructure and the mobile hosts work as a router to maintain the status about the connectivity. A mobile ad hoc network is an autonomous collection of mobile users (nodes) that communicates over relatively bandwidth-constrained wireless links. Each node is equipped with wireless receivers and transmitters using antennas that may be omni-directional, highly directional, or possibly steer able. Due to nodal mobility, the network topology may change rapidly and unpredictably over time. The network is decentralized, where network organization and message delivery must be executed by the nodes themselves, i.e., routing functionally will be incorporated into mobile nodes. The design of the network protocols for mobile ad hoc network is a complex issue. These networks need efficient distributed algorithm to determine network organization (connectivity), link scheduling, and routing. But, the existing routing algorithms designed for ad hoc wireless networks have slow response, excessive overhead and become unsuitable under the above considerations. The full approach, for referring the internal state of the network relies on Round Trip Time (RTT) measurements only. We consider the RTT mean and RTT variance as fuzzy input variables and delay as a fuzzy output variable. Under such condition the performance of the proposed algorithm is tested. It is shown that under these conditions the algorithm gives better results. The proposed routing algorithm is simulated in MATLAB 6.5.
Mode Transition Control for Four Wheel Drive Hybrid Electric Car

There are many driving modes existing in the hybrid electric vehicle(HEV),the torque coordination problem of related power sources during the transition of different modes is essential to vehicle's power and drivability performance.Based on the four wheel drive hybrid electric car,focusing on the switching from pure electric mode to hybrid four wheel drive mode as well as considering the difference of dynamic characteristics between ICE and in-wheel motors,bumpless mode switching control strategy is designed in order to solve drivability issues caused by propulsion mode's change during the vehicle running process.Forward simulation model of four wheel drive HEV is built on Matlab/Simulink/SimDriveline platform,simulation and real vehicle road test of mode switching control strategy are carried out.Results show that the designed control strategy can ensure a smooth power transfer during the mode switching process,and can effectively suppress the longitudinal impact caused by power coupling.Finally an enhanced drivability is achieved on condition of satisfying driver's requirement on torque.
Merits and Limitations of Element Balances as a Forest Planning Tool for Harvest Intensities and Sustainable Nutrient Management—A Case Study from Germany

Climate change and rising energy costs have led to increasing interest in the use of tree harvest residues as feedstock for bioenergy in recent years. With an increasing use of wood biomass and harvest residues, essential nutrient elements are removed from the forest ecosystems. Hence, nutrient sustainable management is mandatory for planning of intensive forest use. We used soil nutrient balances to identify regions in Germany where the output of base cations by leaching and biomass utilization was not balanced by the input via weathering and atmospheric deposition. The effects of conventional stem harvesting, stem harvesting without bark, and whole-tree harvesting on Ca, Mg and K balances were studied. The nutrient balances were calculated using regular forest monitoring data supplemented by additional data from scientific projects. Effective mitigation management strategies and options are discussed and calculations for the compensation of the potential depletion of nutrients in the soil are presented.
The Application of Extracellular Vesicles Mediated miRNAs in Osteoarthritis: Current Knowledge and Perspective

Abstract Osteoarthritis (OA) is a whole joint disease characterized by synovitis, cartilage destruction, and subchondral bone sclerosis and cyst. Despite decades’ study, effective treatment is rare for this chronic disease. Extracellular vesicles (EVs), including exosomes, microvesicles, and apoptosis bodies, are nano-sized vesicles with a cargo containing biologically active agents, such as nucleic acids, lipids, and proteins. As a group of short non-coding RNAs, microRNAs (miRNAs) can be delivered by parental cells secreted EVs. Negatively regulate the target mRNAs at the posttranscriptional level and regulate gene expression in recipient cells without modifying gene sequence. Recently, most studies focused on the function of EVs mediated miRNAs in the pathophysiological process of OA. However, all kinds of EVs specific and OA specific factors might influence the administration of EVs-miRNAs, especially the precise quantitative management. As a result, the flourishing of current research about EVs in the laboratory might not promote the relevant clinical transformation in OA treatment. In this review, we reviewed the present application of EVs-miRNAs in the therapeutic of OA and further analyzed the potential factors that might influence its application. Further progress in the quantitative management of EVs-miRNAs would accelerate the clinical transformation of miRNAs enriched EVs in the OA field.
Sistema de prevenció d'epidèmies en comportaments de risc mitjançant smartphones

ABSTRACT Rerefons: Els smartphones faciliten els contactes entre persones i, en alguns casos, aquests contactes deriven en relacions sexuals sense les adequades mesures preventives. La conseqüència d'aquest fet és l'augment de les malalties de transmissió sexual (MTS). L'objectiu d'aquest projecte és desenvolupar una App per Android OS, capaç de prevenir a l'usuari de conductes de risc, tenint en compte els senyals WIFI captats pels diversos smartphones, així com les hipotètiques relacions d'amistat existents entre els contactes de l'agenda.
A mixed reality telemedicine system for collaborative ultrasound diagnostics and ultrasound-guided interventions

In acute care settings (emergency room [ER], intensive care unit [ICU], operating room [OR]), it is common for inexperienced physicians to have problems making an ultrasound (US) diagnosis, so they have to consult an expert. In this article, we would like to present a methodology by which geographically independent expert physicians can engage during an US examination through virtual and augmented reality. The expert can view the set-up and the US images obtained by the examiner and discuss the clinical case over video chat. In turn, s/he can advise on the proper positioning of the US transducer on the patient with the help of a virtual US transducer. This technology can be used to obtain experts’ opinion from a remote location, whether it is inside a hospital or many miles away. Similarly, it can be used for distant training; whatever the indication, it will lead to improved care. We discuss two different use cases inside an ER: US for a Focused Assessment with Sonography in Trauma (FAST) examination and US for the insertion of a central venous catheter (CVC). Currently, we position this technology to Technology Readiness Level 2, as the concept is formulated and the practical application is identified. The basic properties of algorithms are defined and the basic principles are coded. We performed experiments with parts of the technology in an artificial environment. We asked a doctor, Arnaud Bosteels, to review this method and create this article together.
Control Strategy For Maximizing Power Conversion Efficiency And Effectiveness Of Three Port Solar Charging Station For Electric Vehicles

Recent trends in the energy sector have provided opportunities in the research of alternative energy sources and optimization of systems that harness these energy sources. With the rising cost of fossil fuel and rising concern about detrimental effects that fossil fuel consumption has on the environment, electric vehicles are becoming more prevalent. A study put out in 2009 gives a prediction that in the year 2025, 20% of new vehicles will be PHEVs. [1] As energy providers become more concerned about a growing population and diminishing energy source, they are looking into alternative energy sources such as wind and solar power. Much of this is done on a large scale with vast amounts of land used for solar or wind farms to provide energy to the grid. However, as population grows, requirements of the physical components of a power transmission system will become more demanding and the need for remote micro-grids will become more prevalent. Micro-grids are essentially smaller subsystems of a distribution system that provide power to a confined group of loads, or households. Using the idea of micro grid technology, a solar charging station can be used as a source to provide energy for the immediate surroundings, or also to electric vehicles that are demanding energy from the panels. Solar charging stations are becoming very popular, however the need for improvement and optimization of these systems is needed. This thesis will present a method for redesigning the overall architecture of the controls and power electronics of typical carports so that efficiency, reliability and modularity are achieved. Specifically, a typical carport, as seen commonly today, has been built on the University of Central Florida campus in Orlando. This
A Low Profile Circularly Polarized Beam Scanning Patch Array Fed by Parallel Plate Waveguide

A low-cost, low-profile circularly polarized beam scanning patch array is presented. The patch array is fed by the coupling slots of parallel plate waveguide (PPW), which is excited by a substrate integrated waveguide-based plane wave line source generator. By suggesting a new impedance match method, the coupling slots and truncated patch array are combined for circularly polarized radiation. The beam scanning capability is achieved by the variable inclination method. In the PPW guiding wave layer, a circular plate is cut and separated from the main body of the PPW to make it rotatable around its axis. By rotating the assembly of the circular plate and the above patch layer, the phase difference between the adjacent radiation elements could be controlled. Thus, the circularly polarized beam scanning is realized. A Ku-band prototype array is fabricated and measured to verify the design. The measured peak gain is 19.6 dBi and the scanning range is ±40°, in which range the gain variation is below 2.7 dB and the axial ratio is less than 2.8 dB.
Fast Library Recommendation in Software Dependency Graphs with Symmetric Partially Absorbing Random Walks

To help developers discover libraries suited to their software projects, automated approaches often start from already employed libraries and recommend more based on co-occurrence patterns in other projects. The most accurate project–library recommendation systems employ Graph Neural Networks (GNNs) that learn latent node representations for link prediction. However, GNNs need to be retrained when dependency graphs are updated, for example, to recommend libraries for new projects, and are thus unwieldy for scalable deployment. To avoid retraining, we propose that recommendations can instead be performed with graph filters; by analyzing dependency graph dynamics emulating human-driven library discovery, we identify low-pass filtering with memory as a promising direction and introduce a novel filter, called symmetric partially absorbing random walks, which infers rather than trains the parameters of filters with node-specific memory to guarantee low-pass filtering. Experiments on a dependency graph between Android projects and third-party libraries show that our approach makes recommendations with a quality and diversification loosely comparable to those state-of-the-art GNNs without computationally intensive retraining for new predictions.