Miracle-dz/UniFAR-FTUs huggingface dataset:
Informe de Posicionamiento Terapéutico de osimertinib (Tagrisso®) en el cáncer de pulmón no microcítico con presencia de la mutación T790M

En España en 2012, se diagnosticaron 26.715 casos de cáncer de pulmón, lo que representa el 16,9 % de los tumores entre los hombres y el 5,7 % entre las mujeres (2). La tasa de incidencia ajustada para la población masculina en nuestro país es de 52,5 por cada 100.000 habitantes/año, y es superior a la tasa ajustada mundial (3,4). En el caso de las mujeres la tasa de incidencia ajustada (11,3 por cada 100.000 habitantes/año) se sitúa algo por debajo de la tasa ajustada mundial (1,3,5).
Potential and timescale for on-shelf hypoxia in upwelling systems : and idealized model analysis

A maximally simple, coupled physical-biogeochemical box model is used to examine interactions controlling the potential and timescale for hypoxic levels of oxygen depletion over the shelf in an idealized eastern boundary upwelling system. Here near bottom oxygen drawdown is controlled by the balance between flushing with offshore source waters and the degree to which surface particulate organic carbon production and its subsequent sinking and remineralization are retained over the shelf and focused on the bottom. In the model, particle production is controlled by wind-driven upwelling of a generic nutrient to the surface, balanced by respiration and sinking. The degree to which this production occurs over shelf is a balance between the net particle growth rate η , and the upwelling driven shelf flushing rate λ , equivalent to the Ekman upwelling index scaled by the shelf width and surface layer depth. Initial oxygen drawdown follows this exponential rate of surface particle accumulation over shelf (α = η − λ ), and so is slower for rapid upwelling (large λ ) and slow particle growth (small η). An analytical approximation for the timescale of oxygen drawdown during the initial exponential surface particle growth stage under constant forcing is derived. Model steady states are used to characterize the potential for hypoxic levels of near-bottom oxygen drawdown over the model parameter space; this potential is greater for slower upwelling and wider shelf widths (smaller λ ), and larger sinking rates up to the extent that sinking does not limit surface particle growth. A relatively complete characterization of the model system’s susceptibility to hypoxia can be obtained by combining these two diagnostics. If the sinking rate s is comparable to or larger than the sum of the respiration rate r and the constant shelf flushing
Immature paddy quantity determination using image processing and analysis techniques (Penentuan kuantiti padi tidak matang dengan menggunakan teknik pemprosesan dan penganalisisan imej)

Image processing and analysis techniques that enable determination of percentage immature paddy in a sample were developed. The red, green and blue (RGB) images captured from digital colour camera were transformed to the principle component analysis (PCA) images for detecting immature paddy. The transformed images successfully identified the immature paddy with mean accuracy of 99.8%. An immature paddy weight prediction model was developed for calculating the percentage immature paddy. Result showed that the model is capable to predict the percentage of immature paddy with mean accuracy of 94.45%. Keywords: immature paddy detection; paddy weight prediction; image processing and analysis
A Review on Virulence Factors of Escherichia Coli

Most Escherichia coli (E. coli strains are normal commensals found in the intestinal tract of both humans and animals, while others are pathogenic to animals and humans. Pathogenic E. coli distinguished from normal flora by their possession of virulence factors. Hence, the main objective of this review is to appraise different virulence factors associated with occurrence of pathogenic E. coli infections. Some pathogenic strains cause diarrhoeal disease and are categorized into specific groups based on virulence properties, mechanisms of pathogenicity, clinical syndromes and distinct O: H serogroups. In this review, the most important virulence factors of E. coli including acid resistance, different adhesion proteins like fimbriae, fibrillae, curli and outer membrane protein A, the use of type III secretion systems by the bacteria to subvert eukaryotic signaling pathways by injecting virulence proteins into the host cell cytoplasm, the alkaline phosphatase encoded by PhoA gene in E. coli, the repeatsin toxin pore-forming toxins, oligopeptide toxin of E. coli, heat-labile enterotoxins, Vero/Shiga toxins and different pathogenicity islands which encode a variety of different virulence factors like adhesins, toxins, invasins, protein secretion systems, iron uptake systems and others were critically conferred. Thus, this review paper call for pioneering research on different virulence factors of E. coli in order to apply a well-coordinated control interventions.
MULTILINGUAL LEARNING ENVIRONMENT IN FRENCH AND GERMAN LANGUAGE TEACHING DEPARTMENTS

The objective of the present paper is to shed light on multilingual learning environment in French and German language teaching departments in Turkish universities. The students in these departments are mostly the ones that take university entrance exam, national baccalaureate, and a test in English. They start to learn French and/or German using Turkish. In our study, we suggest that they can acquire these languages by means of using their first foreign language, English, which has typological (syntactical and lexical) similarities instead of using Turkish, which is not of the same family of languages. It is found that using English to teach French/German, therefore, instead of Turkish as a medium of communication in the class, creates a multilingual learning environment, which facilitates vocabulary learning, maintains input permanence, help think and act in that language due to typological features. As shortcomings, it is indicated that falsefriends and teachers‘ lack of English are obstacles to create a multilingual learning environment.
Energy Efficient Foot Trajectory of Trot Motion for Hydraulic Quadruped Robot

Quadruped robots can be used to transport loads or conduct rescue missions on tough terrain. In addition to flexibility and adaptability to complex terrain, the hydraulic driven quadruped robots also have the important characteristic of energy consumption. This paper studies the trot gait motions of the quadruped robot SCalf. The energy model including the mechanical power and heat rate is established, which can be used to obtained the energy consumption of the robot. Compared with a cubic spline interpolation reference trajectory, a foot trajectory based on Fourier series is studied to reduce the joints energy consumption, and the parameters of the foot trajectory are acquired by the Pattern Search method. The effectiveness of the energy efficient trajectory is verified by simulations and verified on the robot prototype.
A Credit Cycle Model of Bank Loans and Corporate Debt : a Bank Capital View

In this paper, we present a continuous-time macro-finance framework, in which firms raise external funds by either issuing corporate debt or obtaining bank loans. Although banks are more efficient than debt holders when liquidating assets of firms with liquidity problems, the interest spread of bank loans must cover the intermediation cost and the risk premium. Because of the crucial feature that the risk premium depends on the financial health of the banking sector, the cost of obtaining bank loans endogenously fluctuates across business cycles. This continuous-time framework allows us to capture that although bank-financing is more cyclical and volatile than bond-financing in the long run, the rise in bond credit can make up the credit loss incurred by the drastic decline in loan supply during crises. Meanwhile, our model also captures the fact that costs of both bank and bond credit increase in recessions when bank capital deteriorates.
Analysis of Leaky Deception for Network Security using Signaling Games with Evidence

Deception plays critical roles in economics and technology, especially in emerging interactions in cyberspace. Holistic models of deception are needed in order to analyze interactions and to design mechanisms that improve them. Game theory provides such models. In particular, existing work models deception using signaling games. But signaling games inherently model deception that is undetectable. In this paper, we analyze an extended version of signaling games that includes a detector which gives off probabilistic warnings when the sender acts deceptively. We derive pooling and partially-separating equilibria of the game. We find that 1) high-quality detectors eliminate some pure-strategy equilibria, 2) detectors with high true-positive rates encourage more honest signaling than detectors with low false-positive rates, and 3) receivers obtain optimal outcomes for equal-error-rate detectors. We illustrate these results with an application to defensive deception for network security. Our results provide a quantitative and rigorous analysis of the fundamental aspects of detectable deception.
Pre-and Post-Fire Comparison of Forest Areas in 3 D

A satellite processing platform for high resolution forest assessment (FORSAT) was developed. It generates the digital surface models (DSMs) of the forest canopy by advanced processing of the very-high resolution (VHR) optical satellite imagery and automatically matches the preand post-fire DSMs for 3D change detection. The FORSAT software system can perform the following tasks: pre-processing, point measurement, orientation, quasi-epipolar image generation, image matching, DSM extraction, orthoimage generation, photogrammetric restitution either in mono-plotting mode or in stereo models, 3D surface matching, co-registration, comparison and change detection. It can thoroughly calculate the planimetric and volumetric changes between the epochs. It supports most of the VHR optical imagery commonly used for civil applications. Capabilities of D. Akca (&) Isik University, Istanbul, Turkey e-mail: akca@isikun.edu. tr E. Stylianidis Aristotle University of Thessaloniki, Thessaloniki, Greece e-mail: sstyl@auth.gr D. Poli 4DiXplorer AG, Zurich, Switzerland e-mail: daniela@4dixplorer.com A. Gruen ETH Zurich, Switzerland/4DiXplorer AG, Zurich, Switzerland e-mail: agruen@geod.baug. ethz.ch; agruen@4dixplorer.com O. Altan Istanbul Technical University/Ekinoks Surveying Software Engineering Ltd, Istanbul, Turkey e-mail: oaltan@itu.edu. tr; altan@ekinoks3d.com M. Hofer A. Walli GeoVille Information Systems GmbH, Innsbruck, Austria e-mail: hofer@geoville.com A. Walli e-mail: walli@geoville.com © Springer Nature Switzerland AG 2019 O. Altan et al. (eds.), Intelligent Systems for Crisis Management, Lecture Notes in Geoinformation and Cartography, https://doi.org/10.1007/978-3-030-05330-7_11 265 FORSAT have been tested in two real forest fire cases, where the burned areas are located in Cyprus and Austria. The geometric characteristics of burned forest areas have been identified both in 2D plane and 3D volume dimensions, using preand post-fire optical image data from different sensors. The test studies showed that FORSAT is an operational software capable of providing spatial (3D) and temporal (4D) information for monitoring of forest fire areas and sustainable forest management. Beyond the wildfires, it can be used for many other forest information needs.
1 Toxicity of TiO 2 , ZnO and SiO 2 nanoparticles in 2 human lung cells : Safe-bydesign development of 3 construction materials 4

Rapid progress in the development of highly efficient nanoparticle-based construction 16 technologies has not always been accompanied by a corresponding understanding of their effects 17 on human health and ecosystems. Here, we compare toxicological effects of pristine TiO2, ZnO and 18 SiO2, and coated SiO2 nanoparticles and evaluate their suitability as additives to consolidants of 19 weathered construction materials. First, WST-1 and LDH assays were used to determine the 20 viability of human alveolar A549 cells at various nanoparticle concentrations (0–250 μg mL−1). 21 While the pristine TiO2 and coated SiO2 nanoparticles did not exhibit any cytotoxic effect up to the 22 highest tested concentration, the pristine SiO2 and ZnO nanoparticles significantly reduced cell 23 viability. Second, as all the developed nanoparticle-modified consolidants increased the 24 mechanical strength of weathered sandstone, the decisive criterion for the selection of the most 25 suitable nanoparticle additive was as low toxicity as possible. We believe that this approach will be 26 of high importance for industry to identify materials representing top functional properties and 27 low toxicity at an early stage of the product development. 28
EasyChair Preprint No 374 A Low Latency Algorithm for Efficient PAPR Reduction for DVB-T 2 and ATSC 3 . 0 Broadcast

In this paper, the problem of peak-to-average power ratio (PAPR) reduction of orthogonal frequency division multiplexing (OFDM) signals is investigated in the context of second generation of digital video broadcasting for terrestrial transmission (DVB-T2) and the American digital video broadcasting standard ATSC3.0. As a multicarrier modulation technique is characterized by a high PAPR of the transmitted signal and OFDM is prone to non-linear (NL) effects of power amplifiers. DVB-T2 and ATSC3.0 have adopted a gradient-based tone reservation (TR) PAPR reduction technique which is based on an iterative process where, at each iteration, a predefined kernel is used to reduce one peak in time domain. Recently, a new TR PAPR reduction technique termed individual carrier allocation for multiple peaks (ICMP), based on a novel kernel definition has been proposed. However, it suffers from latency issues in ATSC3.0 and higher modes of DVB-T2. So, we propose another novel TR technique, grouped ICMP (GICMP). The simulation results show that GICMP offers better performance than the gradient-based DVB-T2 algorithm. Furthermore, it not only yields the same performance as ICMP but also has less latency.
Performance Measures for the Academic Networked Environment Notes 1 , 2

As more academic institutions spend larger sums of money to network their campuses and provide network connections to sources outside their campuses, questions emerge concerning the selection and configuration of appropriate network technologies and the appropriate types and levels of services to provide. Increasingly, academic administrators are asking questions about the benefits and impacts of networking. This paper reports on a study to develop and operationalize performance measures and indicators of the impacts of networking on the academic institution. The study examines information resources and services provided, organizational structures within which they are provided, the various classes of users, and users' activities on the network. Measurement and evaluation of networked information services is essential for administrators to justify such services and better meet user information needs. Approaches for evaluating networked information services are based on: (1) extensiveness--how much of the service has been provided; (2) efficiency--the use of resources in providing or accessing networked information services; (3) effectiveness--how well the networked information service met the objectives of the provider or user; and (4) impact--how a service made a difference in some other activity or situation. Performance measures and evaluation; key issues; attitudes, problems, and perceptions; possible performance measures; study progress; and the importance of the project are described. A brief discussion with the author is provided. (Contains 16 references.) (Author/SWC) U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) This document has been reproduced as received from the person or organization originating it. Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. Performance Measures for the Academic Networked Environment by Charles R. McClure
Controlling on-chip inductive coupling of signal busses through swizzling

On-chip inductive coupling effects have been shown to depend directly on the overlap length between adjacent signal wires. This has major effect on global signal busses in high performance microprocessors. These busses are usually routed as a bundle containing a large number of signals traveling for long distances. In this paper, we propose a routing technique known as swizzling to control the inductive coupling effects between signal wires in global signal busses. The advantage of this technique is reducing the inductive coupling effects with zero area or routing resource cost.
Simple Near-Optimal Scheduling for the M/G/1

We consider the problem of preemptively scheduling jobs to minimize mean response time of an M/G/1 queue. When the scheduler knows each job's size, the shortest remaining processing time (SRPT) policy is optimal. Unfortunately, in many settings we do not have access to each job's size. Instead, we know only the job size distribution. In this setting, the Gittins policy is known to minimize mean response time, but its complex priority structure can be computationally intractable. A much simpler alternative to Gittins is the shortest expected remaining processing time (SERPT) policy. While SERPT is a natural extension of SRPT to unknown job sizes, it is unknown how close SERPT is to optimal.
THE ECMWF 40-YEAR REANALYSIS ( ERA-40 )

One of the more attractive aspects of global reanalysis is the potential for more insightful and accurate studies of the relationship between tropical cyclones (TCs) and lowerfrequency components of the tropical atmosphere. Conversely, the quality of the reanalysis model precipitation physics and the analysis of the large-scale flow is strongly related to the analysis and track forecasts of TCs. Thus, the evaluation of TC performance in reanalysis serves to quantify the quality of reanalysis for tropical applications.
Navigating Video Using Structured Text

Author(s): Pavel, Amy | Advisor(s): Hartmann, Bjoern; Agrawala, Maneesh | Abstract: Video has become a primary medium for producing and consuming entertainment, educational content, and documented events. As the cost of recording, sharing, and storing video has decreased, the prevalence of video has increased. Yet, video remains challenging to use as an informative medium because it is difficult to search, browse and skim the underlying content.Using a timeline-based video player, users must scrub back-and-forth through a video to gain an overview or locate content of interest. Some video viewing interfaces allow users to search and browse videos by text transcripts or caption files. However, transcribed and captioned speeches or conversations often contain disfluencies and redundancies typical of speech which make the transcripts time-consuming to read and difficult to skim. Further, transcripts and captions lack structure -- transcripts consist of long blocks of text, while captions have a series of short phrases. Without structured organization, it can be difficult for viewers to browse topics or get a high-level overview of the content.This thesis explores new ways to search, browse and skim videos through structured text. We aim to create navigable representations of videos that let users ask questions of the video as efficiently and flexibly as possible, and facilitate low cost production. This thesis introduces systems that embody these goals, using structured-text documents aligned to video to enable efficient and flexible video searching, browsing and skimming across three domains: (1) informational lecture videos, (2) films, and (3) casually recorded feedback.
Health data access in cloud-assisted e-healthcare system

In the emerging cloud computing paradigm, electronic healthcare system becomes increasingly motivated to outsource their complex data management systems. While those data may contain sensitive personal health data, the cloud servers cannot be fully secured. Encryption is a promising way to protect the confidentiality of the outsourced health data, but it also faces some difficulty to performing effective searches over encrypted information. We introduce to enhance privacy into e-healthcare with the support of private cloud. In this paper, SSE algorithm is used to enable efficient search on encrypted health data. Experiments conducts on user defined health dataset to enhance health data privacy which offers salient features including efficient key management, privacy preserving data storage, and efficient retrieval of health data.
Bioavailability Circulating Endothelial Progenitor Cells by Enhancing Nitric Oxide Intake of Red Wine Increases the Number and Functional Capacity

Copyright © 2010 American Heart Association. All rights reserved. Print ISSN: 1079-5642. Online 7272 Greenville Avenue, Dallas, TX 72514 Arteriosclerosis, Thrombosis, and Vascular Biology is published by the American Heart Association. DOI: 10.1161/ATVBAHA.109. 200618 2010; 2010;30;869-877; originally published online Jan 21, Arterioscler Thromb Vasc Biol Wu, Feng-Yen Lin, Masataka Sata, Jaw-Wen Chen and Shing-Jong Lin Po-Hsun Huang, Yung-Hsiang Chen, Hsiao-Ya Tsai, Jia-Shiong Chen, Tao-Cheng Bioavailability Circulating Endothelial Progenitor Cells by Enhancing Nitric Oxide Intake of Red Wine Increases the Number and Functional Capacity of http://atvb.ahajournals. org/cgi/content/full/ATVBAHA.109. 200618/DC1 Data Supplement (unedited) at: http://atvb.ahajournals. org/cgi/content/full/30/4/869 located on the World Wide Web at: The online version of this article, along with updated information and services, is
Segmentation of Low-Level Temporal Plume Patterns From IR Video

In this paper, a method to segment out gas or steam plumes in IR videos collected from fixed cameras is presented. We propose a spatio-temporal U-Net architecture that captures deforming blobs of gas/steam plumes that have a unique temporal signature. In this task, the blob shapes are not semantically meaningful and change from frame to frame with no consistency across different exemplar plumes; however, there is spatial and temporal continuity in the way blobs deform suggesting a need for a low-level spatio-temporal segmentation network. The proposed method is compared to an LSTM-based segmentation network on a challenging IR video dataset collected in a controlled environment. In the controlled dataset there is motion due to steam plumes with deforming blob patterns as well as due to walking people with more structured high-level patterns. The experiments show that plume patterns are successfully segmented out with no confusion to moving people and the proposed spatiotemporal U-Net outperforms LSTM-based network in terms of pixelwise accuracy of output masks.
Wavelet Based Approach to Multiple-Frame Denoising of OCT-Images

Speckle noise is a major problem of optical coherence tomography images. It significantly decreases the image quality and therefore the usability for the diagnosis of eye diseases like glaucoma. Current OCT-Systems try to overcome this issue by averaging multiple frames of the same scene. The number of frames that can be recorded is limited by the eye movement and the time the eye can be kept open. We present a new approach that uses multiple frames to perform a more sophisticated denoising. The single frames are assumed to be identical except for noise and global motion that arises by reason of the eye movement. A local noise estimation is performed in the wavelet domain to calculate a weight for each detail coefficient. The final noise-suppressed image is calculated by averaging the weighted wavelet coefficients followed by a wavelet reconstruction. We will show that the algorithm achieves a signalto-noise gain of more than 60% compared to simple averaging.