Miracle-dz/UniFAR-FTUs huggingface dataset:
The Development of Payload Software for a Small Spacecraft

The OpenOrbiter project is a multi-department effort to design and build a small spacecraft which will demonstrate the feasibility of the Open Prototype for Educational NanoSats (OPEN) framework. This framework will reduce cost of small spacecraft creation by providing design plans for free. The focus of the payload software group is to design and implement an onboard task processing and image processing service. Currently the project is in the development phase and most large design decisions have been made. This poster presents the major design decisions that have been made for the payload software and how they will affect the overall mission goals. The task processing and management service uses orbital prediction algorithms to determine the number of images to capture and when to capture them. This process begins with a set of coordinates that specify a target region of Earth to be photographed. Orbital prediction software is used to determine when the satellite will be passing over the regions and breaks the data collection into a series of times that the satellite should capture images and spacecraft orientation instructions. The image processing service uses two main image processing algorithms to conduct mosaicking and super resolution. Mosaicking combines multiple images into a large image and then uses calibration and blending to the smooth the borders of the stitched images. The bicubic interpolation and lagrange polynomials super resolution algorithm will be used to combine multiple images of the same object and increase image quality. The SIFT (Scale Invariant Feature Transform) and/or SURF (Speeded-Up Robust Features) algorithms and satellite IMU (Inertial Measurement Unit) data will be used as feature recognition algorithms to correctly align the captured images based on their overlapping regions. This software is designed to run, parallelized, on a set of GumStix WaterStorm COMs. Due to hardware power requirements, the COMs will be used on-demand to complete the more timeconsuming and complex tasks onboard the satellite and will be powered down when not required.
Traumazentrierte Behandlung von Asylwerberinnen

Trauma treatment is most successful when several conditions are met: including the stabilization of (i) external circumstances, such as secure residence status, work or other meaningful occupation and social network, as well as (ii) internal conditions, such as stable personality and physical health. Almost none of these positive factors apply to asylum seekers in Austria. The author’s work with the residents at the care facility Verein Projekt Integrationshaus shows how in their present situation (lack of protective factors and with the presence of risk factors) group interventions and treatments can be carried out.The residential care facility Verein Projekt Integrationshaus in Vienna specializes in the accommodation, care and treatment of mentally and chronically ill asylum seekers and refugees. Under the given circumstances, psychological stabilization, skill building and strengthening of self efficacy are considered to be the main treatment goals.The article describes how a project for women aims to achieve these goals. The groups are working with integrative concepts, with a special emphasis on the following aspects: variety of methods used, group skills, and establishing daily routine. Finally, the challenges of the process and the positive effects of the group are discussed.
Quand et comment contrôler l'éradication de Helicobacter pylori après un traitement de première ligne ?

Helicobacter pylori (H. pylori) eradication treatment should always be thought of as a package which includes first and second line therapies together. So, testing of H. pylori eradication following first line treatment should always be performed and should be explained to the patient with the prescription of the triple therapy. For confirmation of H. pylori eradication both the urea breath test and the biopsy based test (when endoscopy is clinically indicated) are recommended. Stool antigen test is also an accurate test although it seems to have a lower diagnostic value after eradication treatment. Testing should be performed at least of 4 weeks after treatment. Serology with pre and 6 months post treatment samples is usually not recommended except in the case of H. pylori eradication campaign in populations at high risk for stomach cancer for instance.
A SPECTROPOLARIMETRIC TEST OF THE STRUCTURE OF THE INTRINSIC ABSORBERS IN THE QUASAR HS 1603+3820

We report the results of a spectropolarimetric observation of the C vi “mini-broad” absorption line (mini-BAL) in the quasar HS 1603+3820 (zem = 2.542). The observations were carried out with the FOCAS instrument on the Subaru Telescope and yielded an extremely high polarization sensitivity of δp∼ 0.1%, at a resolving power of R ∼ 1500. HS 1603+3820 has been the target of a high-resolution spectroscopic monitoring campaign for more than four years, aimed at studying its highly variable C vi mini-BAL profile. Using the monitoring observations in an earlier paper, we were able to narrow down the causes of the variability to the following two scenarios: (1) scattering material of variable optical depth redirecting photons around the absorber and (2) a variable, highly ionized screen between the continuum source and the absorber which modulates the UV continuum incident on the absorber. The observations presented here provide a crucial test of the scattering scenario and lead us to disfavor it because (1) the polarization level is very small (p ∼ 0.6%) throughout the spectrum and (2) the polarization level does not increase across the mini-BAL trough. Thus, the variable screen scenario emerges as our favored explanation of the C vi mini-BAL variability. Our conclusion is bolstered by recent X-ray observations of nearby mini-BAL quasars, which show a rapidly variable soft X-ray continuum that appears to be the result of transmission through an ionized absorber of variable ionization parameter and optical depth.
The temporal evolution of the energy flux across scales in homogeneous turbulence

A temporal study of energy transfer across length scales is performed in 3D numerical simulations of homogeneous shear flow and isotropic turbulence. The average time taken by perturbations in the energy flux to travel between scales is measured and shown to be additive. Our data suggest that the propagation of disturbances in the energy flux is independent of the forcing and that it defines a “velocity” that determines the energy flux itself. These results support that the cascade is, on average, a scale-local process where energy is continuously transmitted from one scale to the next in order of decreasing size.
Leptophilic dark matter with Z ' interactions

We consider a scenario where dark matter (DM) interacts exclusively with Standard Model (SM) leptons at tree level. Due to the absence of tree-level couplings to quarks, the constraints on leptophilic dark matter arising from direct detection and hadron collider experiments are weaker than those for a generic WIMP. We study a simple model in which interactions of DM with SM leptons are mediated by a leptophilic $Z'$ boson, and determine constraints on this scenario arising from relic density, direct detection, and other experiments. We then determine current LHC limits and project the future discovery reach. We show that, despite the absence of direct interactions with quarks, this scenario can be strongly constrained.
Challenges: Wearable Computing for Internet of Things (IoT)

: IoT is no more a new term in an IT industry. The buzz is going on from the last decade. The impact of IoT can be visualized by the fact that Cisco estimates that 50 billion devices are going to connect by 2020. The revolution in computing devices from desktop, laptop, palmtop to now wearable devices has changed the way the computing was done. The combination of IoT with wearable computing devices will definitely influence our life style. Wearable devices can connect you to the outer world and the connectivity can be extended by connecting not only your computers, mobiles but to your household devices like refrigerators, AC’s, Automotive and many more. The wearable computing is still in the nascent stage, and have to go long way as there are numerous challenges in respect of power usage, networking,privacy and security, software and hardware related too. The end users can exploit the potential of IoT along with wearable computing which can lead to the big revolution in the coming future.
Oogenesis Drosophila Symmetry Breaking During

References http://cshperspectives.cshlp. org/content/1/2/a001891.full. html#ref-list-1 This article cites 118 articles, 57 of which can be accessed free service Email alerting click here box at the top right corner of the article or Receive free email alerts when new articles cite this article sign up in the Subject collections (12 articles) Symmetry Breaking in Biology  Articles on similar topics can be found in the following collections
A Review of Artificial Intelligence in the Internet of Things

Humankind has the ability of learning new things automatically due to the capacities with which we were born. We simply need to have experiences, read, study… live. For these processes, we are capable of acquiring new abilities or modifying those we already have. Another ability we possess is the faculty of thinking, imagine, create our own ideas, and dream. Nevertheless, what occurs when we extrapolate this to machines? Machines can learn. We can teach them. In the last years, considerable advances have been done and we have seen cars that can recognise pedestrians or other cars, systems that distinguish animals, and even, how some artificial intelligences have been able to dream, paint, and compose music by themselves. Despite this, the doubt is the following: Can machines think? Or, in other words, could a machine which is talking to a person and is situated in another room make them believe they are talking with another human? This is a doubt that has been present since Alan Mathison Turing contemplated it and it has not been resolved yet. In this article, we will show the beginnings of what is known as Artificial Intelligence and some branches of it such as Machine Learning, Computer Vision, Fuzzy Logic, and Natural Language Processing. We will talk about each of them, their concepts, how they work, and the related work on the Internet of Things fields.
Development of multi-model ensemble climate estimates using open-source environment

We demonstrate an application of an R open source environment to climatological problems, namely, to the construction of multi-model ensemble estimates. The R ecosystem is used to develop a computation code which automates an ensembling procedure. We apply the code to the CMIP5 runoff data in the Russian territory for a preliminary analysis of the long-term natural variability. It has been found that a multi-model projection demonstrates a non-monotonic behaviour which contradicts the classic “wet getting wetter” pattern, but perfectly corresponds to the long-term natural variability. A detailed analysis of reproducibility of the runoff temporary structure seems to be unavoidable for successful forecasting of the long-term runoff trends.
Free α-Globin Pool in Human Bone Marrow

: A pool of free alpha-globin chains was found in the bone marrow samples from three controls, two patients with beta-thalassemia trait, three with sickle beta-thalassemia, three with hemoglobin (Hb) Lepore trait, one with alphabeta-thalassemia, four with homozygous beta-thalassemia, and one doubly heterozygous for Hb Lepore and beta-thalassemia. The average percentage of newly synthesized alpha-chains found in the free alpha-globin pool was 6.2% in the controls and 33.0% in the patients heterozygous for thalassemia or Hb Lepore. These controls and patients had balanced beta- and alpha-globin synthesis in the bone marrow. In the homozygous patients and in the one patient doubly heterozygous for thalassemia and Hb Lepore, there was a marked deficit of beta-chain synthesis in the bone marrow and also a large pool of newly synthesized free alpha-chains. The function of this pool of free alpha-chains is not known, but it may be involved in the regulation of globin chain synthesis in normal patients and in the compensatory synthesis of beta-chains that occurs in the bone marrow of patients heterozygous for thalassemia or for Hb Lepore.
Real-Time Summarization of Big Data Streams

Events like natural disasters, riots or protests trigger an increased information need for many people, because of regional closeness, social relations or general interest. Due to a high amount of news-articles that are created by different publishers during such events, it is nearly impossible for individual persons to process all information with the goal of staying up-to-date. Real-time summarization systems can help in such cases by providing persons with updates on the event while the situation still is developing, without requiring the individual person to manually analyze a large amount of news-articles. In this master thesis, a framework for real-time summarization is presented and multiple summarization systems based on this framework are introduced. Besides achieving a good summarization quality, another focus of this work was to retain real-time properties in terms of summarization and in terms of computational performance. Based on a simple approach defined as Baseline, different improvements were made with the goal to create an advanced system which achieves a performance similar to other state-of-the-art temporal summarization systems. The best resulting system of this work is an adaptive approach which is able to change configurations and algorithms during run-time to automatically select the best method to summarize each target-event. The adaptive selection is performed by detecting the importance of an event, based on its news-coverage. The system also makes use of an approach that requires all information to be reported by multiple sources before it can be included in an update. The adaptive summarization system showed superior results in terms of summarization quality compared to the Baseline system. Furthermore, a comparison to a state-of-the-art temporal summarization system also showed better results of the adaptive approach. At the same time, all real-time goals were achieved.
ATINER ' s Conference Paper Series PUH 2015-1566

Though the Patient Protection and Affordable Care Act is a pivotal step toward universal coverage in the US and substantial progress has been made since its passing in 2010, significant risks and insurmountable barriers still exist for underserved communities. This study closely examined the barriers that the top four most uninsured subgroups face in accessing healthcare (Bangladeshi, Cambodian, Korean, and Pakistani communities). Combining quantitative and qualitative approaches, this study consisted of interviews with 24 national health experts and advocates on Asian health and a survey of a non-probability sample of 107 Koreans in the Tri-State region (Connecticut, New Jersey, and New York). Findings indicated that structural barriers, such as cost and employment/occupation types, have a significant impact on access to healthcare. Further high uninsurance rates (40%) appear to be interrelated to the high occurrence of self-employment and employment in the ethnic economy (57%).
Aggregation Algorithm for Large-scale Wireless Local Area Networks

Recently, many organizations such as universities and companies have deployed wireless local area networks (WLANs) to cover the whole site for ubiquitous network services. In these WLANs, wireless access-points (APs) are often managed independently by different groups such as laboratories or departments. Then, a host may detect signals from multiple APs, which can degrade the communication performance due to radio interferences among them and increase operational costs. Previously, we proposed the AP aggregation algorithm to solve this problem by minimizing the number of active APs through aggregating them using the virtual AP technology. However, our extensive simulations in various instances found that 1) the minimization of active APs sometimes excessively degrades the network performance, and 2) the sequential optimization of host associations does not always reach optimal where slow links are still used. In this paper, we propose two extensions of the AP aggregation algorithm to solve these problems by 1) ensuring the minimum average throughput for any host by adding active APs and 2) further optimizing host associations by changing multiple hosts simultaneously in the host association finalization phase. We verify the effectiveness through simulations in four network instances using the WIMNET simulator.
Strategies for network platform evolution

Managing a network platform business can be a complex preposition for the platform owner due to various intricacies that are associated with these platforms. These platforms have distinct users each having its own exclusive needs and requirements. Also, success of one side is closely interlinked to the success of the other side. This research attempts to implode various aspects of network platforms, helps to develop the understanding of the core concepts and develops key strategies for success of such platforms. The thesis of this research is to show that strategies involved in managing successful network platforms are different from those involved in managing legacy products and only those companies that are able to understand these key differences are able to successfully create a vibrant ecosystem around the platform. The motivation of doing this research is dynamics of this business where many companies have able to generate enormous value in a very short span of time while others have vanished in oblivion. Also, lack of comprehensive research in this area, vis-a-vis research in conventional product based business strategies also provided a big impetus to carry on this research. The outcome of this research is a holistic framework, in the form of key questions and their answers, which companies can use to evolve an attractive network platform while fulfilling the needs and requirement of various stakeholders. This research also provides a practical implementation of the strategies developed on real companies in form of case studies and illustrates the steps they can take to be successful in network platform business.
Microbial interactions in the anaerobic oxidation of methane: model simulations constrained by process rates and activity patterns

Proposed syntrophic interactions between the archaeal and bacterial cells mediating anaerobic oxidation of methane coupled with sulfate reduction include electron transfer through (1) the exchange of H2 or small organic molecules between methane-oxidizing archaea and sulfate-reducing bacteria, (2) the delivery of disulfide from methane-oxidizing archaea to bacteria for disproportionation and (3) direct interspecies electron transfer. Each of these mechanisms was implemented in a reactive transport model. The simulated activities across different arrangements of archaeal and bacterial cells and aggregate sizes were compared to empirical data for AOM rates and intra-aggregate spatial patterns of cell-specific anabolic activity determined by FISH-nanoSIMS. Simulation results showed that rates for chemical diffusion by mechanism (1) were limited by the build-up of metabolites, while mechanisms (2) and (3) yielded cell specific rates and archaeal activity distributions that were consistent with observations from single cell resolved FISH-nanoSIMS analyses. The novel integration of both intra-aggregate and environmental data provided powerful constraints on the model results, but the similarities in model outcomes for mechanisms (2) and (3) highlight the need for additional observational data (e.g. genomic or physiological) on electron transfer and metabolic functioning of these globally important methanotrophic consortia.
Design and Control of Large Scale Photovoltaic System for High Power Applications

Abstract- Grid-connected PV application is currently driving the global PV industry. This trend is being increased because of the many benefits of using renewable energy sources in modern distributed generation systems. The connection of such distributed generator to the grid requires special conditions for high quality electric power system. This paper presents a three-phase grid-connected high-power photovoltaic generation system. The main purpose of a grid-connected PV system is to transfer the maximum power obtained from the sun into the electric grid. Therefore the use of a PWM inverter with maximum power point tracking (MPPT) capabilities and the ability of effectively connecting to the AC power grid is required. The model of the PWM inverter and a control strategy using dq0 transformation are proposed. The maximum power point is controlled by controlling the q-axis current component of the grid side, while the power factor is controlled to unity by controlling the grid d-axis current component. Simulation results and analyses are presented to validate the proposed controller for high-power, grid connected photovoltaic generation system.
The Small Blue Straggler Star Population in the Dense Galactic Globular Cluster NGC 6752

We used high-resolution Hubble Space Telescope (HST)-WFPC2 and wide-field ground-based observations to construct a catalog of blue straggler stars (BSSs) that spans the entire radial extent of the globular cluster NGC 6752. The BSS sample is the most extensive ever obtained for this cluster. Although NGC 6752 is a high-density cluster with a large binary population, we found that its BSS content is surprisingly low: the specific number of BSSs is among the lowest ever measured in a cluster. The BSS distribution is highly peaked in the cluster center, shows a rapid decrease at intermediate radii, and rises again at larger distances. This distribution closely resembles those observed in M3 and 47 Tuc by Ferraro and coworkers. To date, BSS surveys covering the central regions with HST and the outer regions with wide-field CCD ground-based observations have been performed for only these three clusters. Despite the different dynamical properties, a bimodal radial distribution has been found in each. A detailed comparison of observed BSS luminosity and temperature distributions with theoretical models reveals a population of luminous, hot BSSs that is not easily interpreted.