Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementing the new oral anticoagulants into the hospital formulary

The new oral anticoagulants may prove to be one of most significant innovations in clinical practice in the past 60 years. Apixaban and rivaroxaban are direct inhibitors of Factor Xa, while dabigatran inhibits Factor IIa. The predictable pharmacological profile of these new agents allows physicians to prescribe these drugs without the need for routine coagulation monitoring, which is the mainstay of warfarin therapy. In addition, these new agents have not been shown to have any food interactions and minimal drug–drug interactions, interactions are limited to the p‐glycoprotein (p‐Gp) transporter or cytochrome P450 (CYP450) system, each drug is unique in its drug interaction profile, as will be discussed below. These unique pharmacokinetics profiles may usher in for clinicians a new era of managing thromboembolic disorders. In this article, the pharmacology of these new oral anticoagulants will be reviewed along with the major clinical trials evaluating the use of these agents for thromboembolic prophylaxis in patients undergoing total hip and knee arthroplastic surgery, the treatment of venous thromboembolic disorders and stroke prevention in atrial fibrillation. Am. J. Hematol. , 2012. © 2012 Wiley Periodicals, Inc.
Concordancia entre estadíos de calcificación dentaria y maduración esquelética en niños y adolescentes de una localidad peruana

El proposito de la investigacion fue determinar la concordancia entre los estadios de calcificacion dentaria de caninos, premolares y segundas molares mandibulares segun el metodo de Demirjian y los estadios de maduracion esqueletica segun el metodo de Fishman. La muestra estuvo conformada por 182 ninos y adolescentes de 9 a 16 anos de edad de una localidad peruana, a los cuales se les tomaron radiografias carpales y periapicales, todas registradas en el mismo momento. Los grados de correlacion fueron altos para todas las piezas dentarias en ambos sexos, para el sexo masculino fueron entre r=0,82 y 0,90; siendo la segunda molar inferior la que tuvo la correlacion mas alta, para el sexo femenino los rangos fueron entre r=0,84 y 0,93; siendo la correlacion mas alta la del canino inferior. La concordancia entre los estadios de calcificacion dentaria de caninos, premolares y segundas molares mandibulares y los estadios de maduracion esqueletica es diferente para cada una de las piezas dentarias evaluadas, siendo el canino el diente con mayor concordancia y mejor utilidad clinica. Se concluye que la calcificacion dentaria puede ser clinicamente util para evaluar los estadios de maduracion esqueletica.
A very low complexity near ML detector based on QRD-M algorithm for STBC-VBLAST architecture

STBC-VBLAST MIMO space-time codes combine spatial multiplexing with diversity gain to achieve both high spectral efficiency and link reliability. In this work, we present a new near maximum-likelihood detector based on QRD-M algorithm for DSTTD architecture. We analyze its performance in terms of Bit Error Rate and complexity. We use an uncorrelated MIMO channel model to prove the code performance and decoder complexity. We show that a near maximum likelihood detector based on QRD-M algorithm shows a better performance in terms of complexity without degradation in terms of Bit Error Rate with respect to [11] for DSTTD space-time code. Therefore, we conclude that this scheme is an attractive candidate for hardware implementation.
Evidence of the TNF-α System in the Human Achilles Tendon: Expression of TNF-α and TNF Receptor at both Protein and mRNA Levels in the Tenocytes

Understanding adaption to load is essential for prevention and treatment of tendinopathy/tendinosis. Cytokine release in response to load is one mechanism involved in mechanotransduction. The cytokine tumor necrosis factor alpha (TNF-α) is implicated in tendinosis and can induce apoptotic effects via tumor necrosis factor receptor 1 (TNFR1). The complete absence of information concerning the TNF-α system in Achilles tendon is a limitation as mid-portion Achilles tendinosis is very frequent. Purpose: To examine expression patterns of TNF-α and its two receptors (TNFR1 and TNFR2) in human Achilles tendinosis and control tissue and to biochemically confirm the presence of TNF-α in tendinosis tissue. Methods: TNF-α and TNFR1 mRNA were detected via in situ hybridization. TNF-α, TNFR1, and TNFR2 were demonstrated immunohistochemically. Apoptosis markers were utilized. ELISA was used to detect TNF-α. Results: TNF-α and TNFR1 mRNA was detected in tenocytes of both tendinosis and control tendons. Tenocytes from both groups displayed specific immunoreactions for TNF-α, TNFR1, and TNFR2. The widened/rounded tenocytes of tendinosis samples exhibited the most intense immunoreactions. Apoptosis was detected in only a subpopulation of the tenocytes in tendinosis tissue. TNF-α was measurable in tendinosis tissue. Inflammatory cells were not seen. Conclusion: This is the first evidence of the existence of the TNF-α system in the human Achilles tendon. Findings are confirmed at mRNA and protein levels as well as biochemically. The TNF-α system was in principle confined to the tenocytes. The connection between tenocyte morphology and the expression pattern of TNF-α, TNFR1, and TNFR2 suggests that the TNF-α system may be involved in tenocyte activation in Achilles tendinosis.
Object Codetection from Mobile Robot Video

We present a method for detecting, localizing, and labeling objects encountered by a ground-based mobile robot in its environment. This method does not require any object detectors or models, which allows it to codetect objects that have never been seen. Our experimental results show that our system can detect 90% of objects presented, localize such to within 16.5cm, and label such with an accuracy of at least 74.1%.
Preclinical medical students’ understandings of academic and medical professionalism: visual analysis of mind maps

Introduction Several studies have begun to explore medical students’ understandings of professionalism generally and medical professionalism specifically. Despite espoused relationships between academic (AP) and medical professionalism (MP), previous research has not yet investigated students’ conceptualisations of AP and MP and the relationships between the two. Objectives The current study, based on innovative visual analysis of mind maps, therefore aims to contribute to the developing literature on how professionalism is understood. Methods We performed a multilayered analysis of 98 mind maps from 262 first-year medical students, including analysing textual and graphical elements of AP, MP and the relationships between AP and MP. Results The most common textual attributes of AP were learning, lifestyle and personality, while attributes of MP were knowledge, ethics and patient-doctor relations. Images of books, academic caps and teachers were used most often to represent AP, while images of the stethoscope, doctor and red cross were used to symbolise MP. While AP-MP relations were sometimes indicated through co-occurring text, visual connections and higher-order visual metaphors, many students struggled to articulate the relationships between AP and MP. Conclusions While the mind maps’ textual attributes shared similarities with those found in previous research, suggesting the universality of some professionalism attributes, our study provides new insights into students’ conceptualisations of AP, MP and AP-MP relationships. We encourage medical educators to help students develop their understandings of AP, MP and AP-MP relationships, plus consider the feasibility and value of mind maps as a source of visual data for medical education research.
Hardware Trojan prevention using layout-level design approach

Hardware Trojans (HTs) are ultimately a dangerous threat in semiconductor industry. The serious impact of HTs in security applications and global economy brings extreme importance to their detection and prevention techniques. This paper focuses on developing a HT prevention techniques through a layout level design approach. The principle is to let no available space on silicon for an attacker to insert a HT. Experiments determine the maximum occupational rate and critical empty spaces while filling with standard cells. The proposed technique makes HT insertion nearly impossible.
A Generative Model of Urban Activities from Cellular Data

Activity-based travel demand models are becoming essential tools used in transportation planning and regional development scenario evaluation. They describe travel itineraries of individual travelers, namely, what activities they are participating in, when they perform these activities, and how they choose to travel to the activity locales. However, data collection for activity-based models is performed through travel surveys that are infrequent, expensive, and reflect the changes in transportation with significant delays. Thanks to the ubiquitous cell phone data, we see an opportunity to substantially complement these surveys with data extracted from network carrier mobile phone usage logs, such as call detail records (CDRs). In this paper, we develop input–output hidden Markov models to infer travelers’ activity patterns from CDRs. We apply the model to the data collected by a major network carrier serving millions of users in the San Francisco Bay Area. Our approach delivers an end-to-end actionable solution to the practitioners in the form of a modular and interpretable activity-based travel demand model. It is experimentally validated with three independent data sources: aggregated statistics from travel surveys, a set of collected ground truth activities, and the results of a traffic micro-simulation informed with the travel plans synthesized from the developed generative model.
An Enhanced Centered Binary Tree of SVMs Algorithm for Phoneme Recognition

Support vector machines (SVMs) have lately emerged as very powerful binary classifiers, however their extension for multiclass classification is still an open area of research. When SVMs are applied to phoneme recognition, the large number of classes within this data set limits the practical use of these learning machines. In this paper we present the application of the centered binary tree of SVMs (c-BTS) algorithm, which is a multi-category classifier, to phoneme recognition. To enhance its capabilities, the c-BTS algorithm has been modified by using different posterior probability measurements to build the binary tree. The proposed algorithm has been tested through simulations on a number of phonemes taken from the TIMIT database. Results show that the proposed modification enhances the accuracy of the c-BTS algorithm while maintaining comparable computation times during testing. Moreover, this solution offers equivalent accuracies to other multiclass recognition methods.
Tumor Vascular Morphology Undergoes Dramatic Changes during Outgrowth of B16 Melanoma While Proangiogenic Gene Expression Remains Unchanged

In established tumors, angiogenic endothelial cells (ECs) coexist next to “quiescent” EC in matured vessels. We hypothesized that angio-gene expression of B16.F10 melanoma would differ depending on the growth stage. Unraveling the spatiotemporal nature thereof is essential for drug regimen design aimed to affect multiple neovascularization stages. We determined the angiogenic phenotype—represented by 52 angio-genes—and vascular morphology of small, intermediate, and large s.c. growing mouse B16.F10 tumors and demonstrated that expression of these genes did not differ between the different growth stages. Yet vascular morphology changed dramatically from small vessels without lumen in small to larger vessels with increased lumen size in intermediate/large tumors. Separate analysis of these vascular morphologies revealed a significant difference in αSMA expression in relation to vessel morphology, while no relation with VEGF, HIF-1α, nor Dll4 expression levels was observed. We conclude that the tumor vasculature remains actively engaged in angiogenesis during B16.F10 melanoma outgrowth and that the major change in tumor vascular morphology does not follow molecular concepts generated in other angiogenesis models.
An advanced hardware design based on ensemble empirical mode decomposition algorithm for heart sound signal processing

In this study, an advanced hardware design for heart sound signal processing based on ensemble empirical mode decomposition (EEMD) is developed and implemented. The EEMD method [1] is developed to alleviate a key drawback in the original empirical mode decomposition (EMD) algorithm. In a previous research, Huang et al. [2] developed an adaptive and efficient EMD method for nonlinear and nonstationary signal analysis. The physical meaning of a single intrinsic mode function (IMF) is obscure, and the original EMD algorithm cannot separate signals with different scales into appropriate IMFs. To overcome this major drawback, a noise-assisted data analysis (NADA) method called EEMD is developed. Heart sound signals are fed into the proposed system to simulate the EEMD-fixed-point performance. A comparison of the floating-point and fixed-point results exhibits satisfactory consistency and demonstrates that our design can accommodate wide variations of dynamic ranges and complicated calculations.
5.3 W average output power MHz Q-switched Yb:YAG channel waveguide laser delivering ∼1 μJ pulse energy

We demonstrate an Yb:YAG femtosecond-laser-written channel-waveguide-laser with record-high average-output-power of 5.7 W and 78% slope-efficiency in CW and 5.3 W for Q-switched operation with 11-ns pulses and ∼1-μJ energy at 5.4-MHz repetition-rate.
Speech detection by facial image for multimodal speech recognition

CIMWOS is a multimedia, multimodal and multilingual system supporting content-based indexing, archiving, retrieval, and on-demand delivery of audiovisual content. The system uses a multifaceted approach to locate important segments within multimedia material employing state-of-the-art algorithms for text, speech and image processing. The audio processing operations employ robust continuous speech recognition, speech/non-speech classification, speaker clustering and speaker identification. Text processing tools operate on the text stream produced by the speech recogniser and perform named entity detection, term recognition, topic detection, and story segmentation. Image processing includes video segmentation and key frame extraction, face detection and face identification, object and scene recognition, video text detection and character recognition. All outputs converge to a textual XML metadata annotation scheme following the MPEG-7 standard. These XML annotations are further merged and loaded into the CIMWOS multimedia database. Additionally, they can be dynamically transformed for interchanging semantic-based information. The retrieval engine is based on a weighted boolean model with intelligent indexing components. An ergonomic and user-friendly web-based interface allows the user to efficiently retrieve video segments by a combination of media description, content metadata and natural language text. The system is currently under evaluation.
Higher-order motion models for temporal frame interpolation with applications to video coding

We have recently proposed a motion-centric temporal frame interpolation (TFI) method, called BAM-TFI, which is able to produce high quality interpolated frames under a constant velocity assumption. However, for objects that do not follow constant velocity motion, the predictions, although credible, will differ from the “true” target frames, leading to high prediction residuals. In this paper, we show how higher-order motion models can be incorporated into the BAM-TFI scheme to interpolate frames that better predict the target frames. This opens up the door to a seamless integration of TFI with a video coding scheme. Comparisons on a variety of both synthetic and natural video sequences highlight the benefits of a second-order motion model. We further integrate the proposed TFI scheme into HEVC; preliminary comparisons with HEVC show promising results.
Capacity enhancement of 2×2 MIMO system using pattern reconfigurable antennas

The capacity enhancement of a multiple-input-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) system using pattern reconfigurable antennas is investigated. In the study, pattern reconfigurable U-slot antennas are incorporated in a 2×2 MIMO-OFDM demonstrator and the channel measurements are conducted in both line-of-sight (LOS) and non-LOS (NLOS) indoor environments. Capacities of the system with pattern reconfigurable and omnidirectional antennas are compared. Measured results show that the pattern reconfigurable antennas can enhance the system capacity, with 17% improvement in the LOS scenario and 12% in the NLOS scenario at a signal-to-noise ratio (SNR) of 10 dB, with respect to the reference omnidirectional antennas.
1 RPP South

The range of activities and the focus on partnership working in Health Action Zones create challenges for evaluation. This paper describes the evaluation of a Health Action Zone initiative aimed at increasing community involvement in health across a health district. The design and implementation of the evaluation have been shaped by the policy context, the diversity of activities and the range of stakeholders from different sectors and communities. A collaborative approach to research has enabled findings to be fed into policy and practice. The paper reflects on the evaluation process and discusses some of the methodological and ethical issues that have arose.
Control flow for robust one-shot robot programming using entity-based resources

Robotic systems are used in a wide range of applications. With an intuitive programming system from previous work we are able to transfer the advantages of robotic systems into more unstructured environments like private households or small and medium sized enterprises. An important challenge in this field is to enable non-experts to use all the capabilities of a robot. This includes two aspects: Robots must be intuitive to program and robust to execute. Our recently presented One-Shot programming framework concerns both aspects. The main contribution of this work is to extend the existing framework and to raise the usability of our approach. With this motivation we identify generalization chances in our task representation model and introduce an extension of our programming paradigm by integrating control flow to increase its capabilities. The proposed system concept enables users to guide a robot kinesthetically through a task without prior knowledge. By observing resources in the workspace, the demonstrated task is encoded as a finite state machine (FSM). This FSM allows the reproduction of a task by the robot itself and also offers two ways to control the flow of a robot program: Loops and Branches. With these statements a non-expert user gains the opportunity to program even more complex task solutions.
Extensive optical and near-infrared observations of the nearby, narrow-lined type Ic SN 2007gr : days 5 to 415

We present photometric and spectroscopic observations at optical and near-infrared wavelengths of the nearby type Ic supernova 2007gr. These represent the most extensive data-set to date of any supernova of this sub-type, with frequent coverage from shortly after discovery to more than one year post-explosion. We deduce a rise time to B-band maximum of 11.5 ± 2.7 d. We find a peak B-band magnitude of M_B = −16.8, and light curves which are remarkably similar to the so-called “hypernova” SN 2002ap. In contrast, the spectra of SNe 2007gr and 2002ap show marked differences, not least in their respective expansion velocities. We attribute these differences primarily to the density profiles of their progenitor stars at the time of explosion i.e. a more compact star for SN 2007gr compared to SN 2002ap. From the quasi-bolometric light curve of SN 2007gr, we estimate that 0.076 ± 0.010 M_⊙ of ^(56)Ni was produced in the explosion. Our near-infrared (IR) spectra clearly show the onset and disappearance of the first overtone of carbon monoxide (CO) between ~70 to 175 d relative to B-band maximum. The detection of the CO molecule implies that ionised He was not microscopically mixed within the carbon/oxygen layers. From the optical spectra, near-IR light curves, and colour evolution, we find no evidence for dust condensation in the ejecta out to about +400 d. Given the combination of unprecedented temporal coverage, and high signal-to-noise data, we suggest that SN 2007gr could be used as a template object for supernovae of this sub-class.
Aktionsforschung in der WI: Einsatzpotentiale und -probleme

Die Wirtschaftsinformatik (WI) ist eine junge Disziplin, deren Konturen sich erst noch formieren. Es ist deshalb nicht uberraschend, das zum aktuellen Zeitpunkt noch kein Konsens uber die einzusetzenden Forschungsmethoden herrscht. Die Fachvertreter, die sich aus Mutterund Nachbardisziplinen wie vor allem der Informatik, den Wirtschaftswissenschaften und den Ingenieurwissenschaften rekrutieren, haben sich deshalb haufig an naturwissenschaftlichen Forschungsmethoden orientiert, welche diese Disziplinen dominieren. Wahrend im angelsachsischen Raum, vor allem in Grosbritannien, qualitative Forschungsmethoden und insbesondere die Aktionsforschung eine nicht zu vernachlassigende Bedeutung haben, ist in der WI bisher keine nennenswerte Orientierung in dieser Richtung zu verzeichnen. Der vorliegende Beitrag untersucht deshalb das Wesen der Aktionsforschung und mochte Einsatzpotentiale und -probleme dieser Forschungsmethode eruieren. Dazu wird, ausgehend von einer Charakterisierung der Aktionsforschung, diese gegen die analytisch-nomologischen naturwissenschaftlichen Forschungsmethoden abgegrenzt. Anknupfend an den Spezifika der Aktionsforschung wird dann die Eignung der Aktionsforschung fur ausgewahlte Fragestellungen der WI exemplarisch diskutiert und anhand von Anwendungserfahrungen beurteilt. Der Beitrag schliest mit einer Zusammenfassung der wesentlichen Einsatzchancen und -probleme der Aktionsforschung aus wissenschaftlicher Sicht und der Frage, welchen spezifischen Beitrag Aktionsforschung fur die Entwicklung des Theorienbestands der WI leisten konnte.
Two location tracking strategies for PCS systems

This paper presents two location tracking strategies (LS-I and LS-II) for personal communications services (PCS) systems. In the proposed schemes, the movement history of a mobile terminal (MT) since the last location update is taken into account in making a location update decision. In particular, before reaching the update threshold the movement counter is increased only after the MT visits a new cell. When the MT revisits a cell since the last location update, in the LS-I scheme the counter remains unchanged, while in the LS-II scheme the counter is assigned with the old counter value when the MT visited this cell last time. Analytic and simulation results demonstrate that when the call-to-mobility ratio (CMR) is low, the proposed schemes can achieve a significant cost reduction compared to the movement-based scheme.
A neural genetic training for LQR controllers tuning applied to inverted pendulum

In this article is presented a method to design neural-genetic optimal controllers that are based on the fusion of a Recurrent Neural Network (RNN) and Genetic Algorithm (GA), these Computational Intelligence (CI) paradigms support the Linear Quadratic (LQR) design. The GA and RNN adaptation proprieties are the great advantage of the proposed approach, because all design is oriented to tune the optimal controller without inference of the human. A 4th order model of an inverted pendulum is used to evaluate the training and control performance of the proposed method.