Miracle-dz/UniFAR-FTUs huggingface dataset:
Safety of recombinant activated factor VII in randomized clinical trials.

To the Editor: Levi et al. (Nov. 4 issue)1 report on their analysis of published randomized, placebocontrolled trials on the use of recombinant activated factor VII (rFVIIa) to treat life-threatening bleeding. We welcome the pooled data reporting the rate of arterial thrombosis observed when rFVIIa, particularly in large doses, was administered off-label to patients over the age of 65 years (9.0%), as compared with those 65 years of age or younger (3.8%). However, the quantification of a side effect (risk) without an assessment of benefit ignores the predominant clinical setting in which off-label rFVIIa is used. Pooling of groups of patients with different thrombotic and bleeding risks (i.e., active and not active bleeding, normal and abnormal coagulation, severe thrombocytopenia and normal platelet count) does not assist in clinical risk–benefit decisions, since it seems evident that such patients should be treated differently. Indeed, the use of rFVIIa in patients with severe hemorrhagic states was not associated with thrombosis. Thrombosis was associated with increasing doses of rFVIIa in patients with spontaneous bleeding in the central nervous system. The authors’ inclusion of data from older studies, in which doses of rFVIIa of more than 90 μg per kilogram of body weight were used, further undercuts the relevance of these data from current clinical practice, since we rarely use such high doses. Therefore, it is difficult to see how we can improve our risk–benefit decisions on the basis of these new data.
Ultra Low Power Symmetric Pass Gate Adiabatic Logic with CNTFET for Secure IoT Applications

: With the advent and development of the Internet of Things, new needs arose and more attention was paid to these needs. These needs include: low power consumption, low area consumption, low supply voltage, higher security and so on. Many solutions have been proposed to improve each one of these needs. In this paper, we try to reduce the power consumption and enhance the security by using SPGAL, a DPA-resistant Logic, and Carbon Nanotube FETs (CNTFETs) instead of conventional CMOS and MOSFET technology, for IoT devices. All simulations are done with HSPICE.
THE IMPERATIVE OF DEMOCRATIC CONSOLIDATION IN NIGERIA THROUGH CREDIBLE ELECTIONS

Since the fall of authoritarian and dictatorial regimes in West Africa, the sub-region has witnessed democratic change with the installation of multi-party political systems in almost all the countries. Today, democracy sits on the horn of a dilemma in many countries in sub-Saharan Africa, including Nigeria. The tactics and tantrums of political actors in Nigeria and the shortcomings of the political process has showcased the inadequacies of democracy and its practice as a political ideology in Nigeria. Free and fair election which is one of the features of true democracy has eluded Nigeria since the advent of her nascent democratic dispensation. For democracy to thrive and consolidate in any political system, periodic elections should be free and fair, such that it will not be impossible to replace an incompetent and unpopular government from power. The weakness of the electoral umpire in Nigeria as shown in the series of controversies, litigations and court decisions on election matters that trail successive elections, and the behavior of the political class has cast doubt on sustainable democratic consolidation in Nigeria. This paper looks at the meaning and content of democracy, and highlights the challenges and prospects of democratic consolidation in Nigeria under the prevailing socio-economic and security challenges. The paper examines the link between democratic consolidation and credible elections, and how the growth and sustenance of democratic consolidation is threatened by electoral fraud and visionless leaders. Finally, the paper discusses the imperative of good governance, and the argument it advances is that without this imperative, socio-economic and political instability will pose as a feature of Nigerian democracy.
Outdoor and indoor sports that require skill executive branches of the personality types of athletes

Kisilik ve gudulenme alanlarinda pek cok calisma yapilmistir. Fakat ulkemizde becerilerin, kisilik ve gudulenme ile iliskilendirilmesi uzerine calismalar sinirlidir. Bu arastirmanin amaci; Turk Kulturu icin Temel Kisilik Olcegi ve Sporda Gudulenme Olcegi kullanilarak, acik ve kapali beceri gerektiren sporlari icra eden sporcularin kisilik tiplerinin, sporcularin gudulenmeleri uzerine etkileri incelenmistir. Buradan cikan sonuclarin sporcularin gudulerinin ve kisilik ozelliklerinin ileride sporcularin secimine, sporcularin spor dallarinin secimine ve spora devam etme sureclerine katki saglamayacagi dusunulmektedir. Arastirmanin orneklemini ise; judo, tekvando, aticilik, gures, masatenisi, boks, halter, tenis, yuzme, karate, bocce, bilardo, satranc, badminton ve okculuk dallarinda milli olmus 239 sporcu olusturmaktadir. Arastirmaya katilan milli olmus sporcularin, 98‟i kiz, 141‟i erkek olmak uzere toplam 239 sporcu katilmistir. Acik beceri gerektiren sporcularin, kapali beceri gerektiren sporculari ile karsilastirilmasinda cinsiyet, yas, egitim durumu, spor yasi, milli sporculuk yasi degiskenlerinin kisilik tiplerinin ve gudulenmeleri uzerine etkilerini Cok Yonlu Regreasyon Analizi, Ikili ve kismi Kolarasyon Analizi ile incelenmistir. Sonuc olarak, acik ve kapali beceri gerektiren sporlari icra eden sporcularin kisilik tiplerinin, sporcularin gudulenmeleri uzerinde istatistiksel anlamli farkliliklar tespit edilmistir.
FLAIM: A Multi-level Anonymization Framework for Computer and Network Logs

FLAIM (Framework for Log Anonymization and Information Management) addresses two important needs not well addressed by current log anonymizers. First, it is extremely modular and not tied to the specific log being anonymized. Second, it supports multi-level anonymization, allowing system administrators to make fine-grained trade-offs between information loss and privacy/security concerns. In this paper, we examine anonymization solutions to date and note the above limitations in each. We further describe how FLAIM addresses these problems, and we describe FLAIM's architecture and features in detail.
Proton Irradiation of Silicon Schottky Barrier Power Diodes

Commercial silicon Schottky barrier power diodes have been subjected to 203 MeV proton irradiation and the effects of the resultant displacement damage on the I-V characteristics have been observed. The diodes show excellent resistance to radiation damage. Changes in forward and reverse bias I-V characteristics are reported for irradiated commercial Schottky barrier diodes at fluences up to 4xl014 p/cm2. Small changes are seen in the reverse bias I-V characteristics with increasing irradiation fluence. In forward bias, the series resistance is observed to increase as the fluence increases. The changes in series resistance are interpreted as being due to changes in the effective dopant density due to carrier removal by the defects produced.
Essays in applied econometric modelling of central european financial markets

Speight, A. E. H. k McMillan, D. G. (2001). Volatility spillovers in East European blackmarket exchange rates, Journal of International Money and Finance 20(3): 367-378. Susmel, R. k Engle, R. F. (1994). Hourly volatility spillovers between international equity markets, Journal of International Money and Finance 13(1): 3-25. van Dijk, D. , Osborn, D. R. k Sensier, M. (2005). Testing for causality in variance in the presence of breaks, Journal of Econometrics 89(2): 193-199. Voronkova, S. (2004). Equity market integration in Central European emerging markets: A cointegration analysis with shifting regimes, International Review of Financial Analysis 13(5): 633-647. Zikeš, F. (2009). Testing for normality and independence of asset returns standardized by realized measures of integrated variance. Imperiál College London. Wongswan, J. (2006). Transmission of information across international equity markets, Revietu of Financial Studies 19(4): 1157-1189. Zhang, L. , Mykland, P. A. k Ait-Sahalia, Y. (2005). A tale of two time scales: Determining integrated volatility with noisy high-frequency data, Journal of the American Statistical Assocation 100(472): 1394-1411.
Assessing the Effect of Seasonality on Leaf and Canopy Spectra for the Discrimination of an Alien Tree Species, Acacia Mearnsii, From Co-Occurring Native Species Using Parametric and Nonparametric Classifiers

The tree Acacia mearnsii is native to south-eastern Australia but has become an aggressive invader in many countries. In South Africa, it is a significant threat to the conservation of biomes. Detecting and mapping its early invasion is critical. The current ground-based methods to map A. mearnsii are accurate but are neither economical nor practical. Remote sensing (RS) provides accurate and repeatable spatial information on tree species. The potential of RS technology to map A. mearnsii distributions remains poorly understood, mainly due to a lack of knowledge on the spectral properties of A. mearnsii relative to co-occurring native plants. We investigated the spectral uniqueness of A. mearnsii compared to co-occurring native plant species within the South African landscape. We explored full-range (400–2500 nm), leaf and canopy hyperspectral reflectance of the species. The spectral reflectance was collected biweekly from December 23, 2016 and May 31, 2017. We conducted a time series analysis, to assess the effect of seasonality on species discrimination. For comparison, two classification models were employed: parametric interval extended canonical variate discriminant (iECVA-DA) and nonparametric random forest discriminant classifiers (RF-DA). The results of this paper suggest that phenology plays a crucial role in discriminating between A. mearnsii and sampled species. The RF classifier discriminated A. mearnsii with slightly higher accuracies (from 92% to 100%) when compared with the iECVA-DA (from 85% to 93%). The study showed the potential of RS to discriminate between A. mearnsii and co-occurring plant species.
Broadband and High-Gain Microstrip Patch Antenna Loaded With Parasitic Mushroom-Type Structure

This letter presents a novel broadband microstrip patch antenna with a simple geometry. Two parasitic mushroom-type arrays are incorporated along with the two radiating edges of a main radiating patch. First, thanks to the mushroom-type structure, a new resonant mode, characterized as quasi-TM<inline-formula><tex-math notation="LaTeX">$_{30}$</tex-math></inline-formula> mode, is generated. Besides, the main radiating patch produces the original TM<inline-formula><tex-math notation="LaTeX">$_{10}$</tex-math></inline-formula> mode. Thus, wideband performance is realized on the basis of the two combined modes. Second, the current distributions on those metal patches are nearly uniform so that high gains are achieved over the entire operating bandwidth. Measured results indicate that the enhanced impedance bandwidth is from 11.9 to 18.2 GHz, which covers the whole Ku-band. Meanwhile, a nearly constant peak-radiating gain between 10 and 10.5 dBi at broadside radiation is obtained. The proposed antenna maintains the advantages of wide bandwidth, ease of fabrication, flat and high gains, and a low profile less than <inline-formula><tex-math notation="LaTeX">${\lambda _0}$</tex-math></inline-formula>/13 thickness substrate.
The Correlation between Sleep Deprivation and Motor Skill among Night Shift Residents in DR. M.Djamil Hospital, Padang

Sleep deprivation is common among residents. It contributes to daytime sleepiness and exhaustion that causing deterioration of productivity. This condition may affect their motor performance. As a consequence, sleep deprivation can increase the risk of human error among physician. This study aimed to evaluate the correlation between sleep deprivation and motor skill in night shift residents. We conducted a cross-sectional study in DR. M. Djamil hospital, Padang between July to August 2016. A total of 51 residents were recruited, related to night shift one day before the study. Those with chronic illness, consuming sedative drugs, and visual impairment was excluded. The Epworth Sleepiness Scale (ESS) was used to examine the duration of sleep in sleep-deprived subjects, and motor skills were evaluated using the Purdue Pegboard Test. The relationship between variables was analyzed using Kendall’s Tau b correlation, and p-value <0.05 was considered as statistically significant. The mean of sleep duration was 2.37+ 0.894 hours. The mean of Purdue Pegboard Test was 20.14 seconds on the right, 18.63 seconds on the left, and 15.61 seconds on both hands respectively. There was no correlation between sleep deprivation and motor performance of right hand (p=0.737), left hand (p= 0.541), nor in both hands (p= 0.400). There was a significant correlation between sleep deprivation and motor performance of both hands in night shift residents.
A 2.4 GHz CMOS transceiver for Bluetooth

A fully-integrated CMOS transceiver tuned to 2.4 GHz consumes 46 mA in receive mode and 47 mA in transmit mode from a 2.7 V supply. The receiver has -80 dBm sensitivity at 0.1% BER, and -7 dBm IIP3. The transmitter delivers a GFSK modulated spectrum at 5 dBm output power.
Automatic Detection of Renal Abnormalities by Off-the-shelf CNN Features

ABSTRACT The chronic kidney disease (CKD) and end-stage renal disease are the leading causes of kidney (renal) failure which may be fatal. Thus, it is important to diagnose the kidney diseases at an earlier stage before it cause fatality. This paper proposes an algorithm for automatic kidney abnormalities detection and classification at an early stage. Kidney abnormalities detection involves two stages: feature extraction and detection. The input images used in this work are kidney ultrasound (US) images which are classified into three categories such as normal kidney, kidney with cyst and kidney with stone. The pre-trained convolutional neural networks (CNN) is used to extract features from the kidney US images then, the extracted features from CNN are fed into the support vector machine (SVM) classifier for classifying the kidney abnormalities. The training and testing phase of CNN requires large number of labelled images. Due to unavailability of larger datasets in the kidney US images, off-the-shelf CNN features are used which perform well for smaller datasets. Performance evaluation is done for classification and 91.8% of the accuracy is obtained. Further, the sensitivity and specificity achieved for the SVM classifier in detecting normal kidney images is 93.75% and 92.5%, respectively.
Predictive Capability of a High-Resolution Hydrometeorological Forecasting Framework Coupling WRF Cycling 3DVAR and Continuum

The typical complex orography of the Mediterranean coastal areas support the formation of the so-called back-building mesoscale convective systems (MCS) producing torrential rainfall often resulting in flash floods. As these events are usually very small-scaled and localized, they are hardly predictable from a hydrometeorological standpoint, frequently causing a significant amount of fatalities and socioeconomic damage. Liguria, a northwestern Italian region, is characterized by small catchments with very short hydrological response time and is thus extremely prone to the impacts of back-building MCSs. Indeed, Liguria has been hit by three intense back-building MCSs between 2011 and 2014, causing a total death toll of 20 people and several hundred millions of euros of damages. Consequently, it is necessary to use hydrometeorological forecasting frameworks coupling the finescale numerical weather prediction (NWP) outputs with rainfall–runoff models to provide timely and accurate streamflow forecasts. Concerning the aforementioned back-building MCS episodes that recently occurred in Liguria, this work assesses the predictive capability of a hydrometeorological forecasting framework composed by a kilometer-scale cloud-resolving NWP model (WRF), including a 6-h cycling 3DVAR assimilation of radar reflectivity and conventional weather stations data, a rainfall downscaling model [Rainfall Filtered Autoregressive Model (RainFARM)], and a fully distributed hydrological model (Continuum). A rich portfolio of WRF 3DVAR direct and indirect reflectivity operators has been explored to drive the meteorological component of the proposed forecasting framework. The results confirm the importance of rapidly refreshing and data intensive 3DVAR for improving the quantitative precipitation forecast, and, subsequently, the flash flood prediction in cases of back-building MCS events.
Enhanced iron-tunnel recognition for automotive radars

In this paper, we propose a novel iron-tunnel recognition method to overcome the deterioration of the target or vehicle detection performance due to iron tunnel clutters. The proposed method measures the degree of spectral spreading through the analysis of the spectrum characteristics of the received radar signal under different road conditions. The proposed method can successfully detect iron tunnels.
Repetitively Pulsed Relativistic BWO With Enhanced Mechanical Frequency Tunability

In experiment, mechanical pulse-to-pulse frequency tuning was realized in a repetitively pulsed (1 s, 50 Hz) relativistic backward-wave oscillator with a resonant reflector in a 0.36-T magnetic field. The tuning bandwidth was ~ 9% at a level of -3 dB of microwave peak power. The microwave peak power in a batch was 2.5 plusmn 0.6 GW at a frequency of ap3.6 GHz, an efficiency of 20% plusmn 4%, and a microwave pulsewidth of ~ 20 ns.
Phase-noise improvement of GaAs pHEMT K-band voltage controlled oscillator using tunable field-plate voltage technology

This paper presents a voltage-controlled oscillator (VCO) with low phase noise performance by applying tunable field-plate (FP) voltage on 0.15 ¿m gate length GaAs pseudomorphic high electron mobility transistors (pHEMTs). In this study, the FP metal between gate and drain terminals was connected to a single pad and was controlled by an extra voltage supplier (VFP). Owing to the depth modulation of field-plate induced depletion region at various field-plate voltages, the device flicker noise were also improved by applying negative VFP. This technique is easy to apply, based on standard pHEMT fabrication, and especially attractive for reducing the phase noise of VCO design without extra power consumption. A tunable phase noise inductor-capacitor (L-C) feedback 21 GHz VCO was fabricated in a standard 0.15 ¿m GaAs pHEMT process. The measured phase-noise of this novel design is -95 dBc/Hz at an offset frequency of 1 MHz and this value can be improved to -99.6 dBc/Hz at VFP of -5.5 V. The core dc power consumption of this circuit is 30.8 mW.
Metamaterial structures composed of multi-layer ceramic capacitors for antenna applications

The metamaterial design process provides significant change to the material selection of the general antenna design process. To apply metamaterials to small antennas, multi-layer ceramic capacitors (MLCCs) has been investigated to compose a small size and a compact structure for each unit cell. In this paper, the open and closed metamaterial structures composed of MLCCs are designed by the eigenmode and driven modal simulations. These unit cells are employed to a slender and small magnetic current source and a low-profile and omnidirectional antenna. The proposed two types of the antennas can overcome a limitation of the conventional antenna size.
Ethnomedicinal Use, Phytochemical Constituents and Bioactivity of Wild Edible Fruits Commonly Consumed in Burkina Faso

The screening of bioactive phytochemical constituents in edible fruits and vegetable is interesting to researchers owing their benefit property on consumer’s health. Fruits are used ethnomedicinally to treat numerous diseases including metabolic and microbial diseases. They are also used in human or animal nutrition because of their high energy value and their mineral contents. The pharmacological proprieties of fruits include antioxidant, anticancer, anti-mutagenic, antimicrobial, anti-inflammatory and anti-neurodegenerative properties. These bioactive compounds are among others flavonoids, phenolic, anthocyanin, phenolic acids, stilbenes, tannins, as well as sugars, essential oils, carotenoids, vitamins, and minerals. This review summarizes the ethnomedicinal use, the phytochemical constituents and the bioactivity of wild edible fruits commonly consumed in Burkina Faso.
Error-Voltage-Based Open-Switch Fault Diagnosis Strategy for Matrix Converters with Model Predictive Control Method

This paper proposes an error-voltage-based open-switch fault-diagnosis a strategy for a matrix converter (MC). A finite control set model predictive control method is used to operate the MC. The MC system performances under normal operation and under a single open-switch fault operation are analyzed. A fault-diagnosis strategy has also been implemented in two steps. First, the faulty phase is detected and identified based on a comparison of the reference and estimated output line-to-line voltages. Then, the faulty switch is located by considering the switching states of the faulty phase. The proposed fault-diagnosis method is able to locate the faulty switch accurately and quickly without additional voltage sensors. Simulation and experimental results are presented to demonstrate the feasibility and effectiveness of the proposed strategy.
Bit and Power Loading for Coherent Optical OFDM

We show the first experiment of bit and power loading for coherent optical orthogonal frequency-division-multiplexing (CO-OFDM) systems. The data rate of CO-OFDM systems can be dynamically adjusted according to the channel condition. The system performance can be further improved through optimal power loading into each modulation band.
The Chinese characteristics of payments for ecosystem services: a conceptual analysis of water eco-compensation mechanisms

ABSTRACT The applications of payments for ecosystem/environmental services (PES) are diverse. However, the changing characteristics of these applications in different contexts have not been adequately elucidated. This article provides a conceptual analysis of China’s water eco-compensation mechanism (ECM), a notion reported in the PES literature, through the lens of public–private, state–market, central–local and interjurisdictional relationships. It argues that the water ECM is essentially a state-centric utilitarian approach to mediating regional conflicts and inequalities. The Chinese practices of water ECM indicate an alternative approach to incentive-based conservation, highlighting the potential of integrating government-led instruments with market-oriented mechanisms in the development of a PES framework.
Concurrent Radiotherapy and Weekly Paclitaxel for Locally Advanced Squmous Cell Carcinoma of Uterine Cervix – Treated Patients at Rural Centre in India

This study was performed to analyze the efficacy and safety of con-current radiotherapy and weekly paclitaxel in the treatment of carcinoma of uterine cervix. Hundred patients with locally advanced (stages IIB to IVA according to FIGO classification) carcinoma of uterine cervix were enrolled, radiotherapy was conventionally administered: 50.4 Gy/28 fractions by external beam (whole pelvis) followed by HDR-Intracavitary brachytherapy, 4 fractions of 7 Gy each. Paclitaxel was administered on weekly basis at dose of 40 mg ⁄m2 during entire course of external beam radiotherapy. Treatment response was evaluated three months after the end of radiotherapy by means of clinical examination and ultrasonography. Complete Regression (CR) in 83%, partial response (PR) 14% and progressive disease 3%. At 26 months of median follow up 73 patients alive, 58 patients are disease free. The results of this study suggest that concurrent chemo radiotherapy is feasible in treatment of carcinoma cervix with acceptable and manageable toxicity and paclitaxel act as radio sensitizer in locally advanced cervical cancer.