Miracle-dz/UniFAR-FTUs huggingface dataset:
Integration of Fixed and Variable Speed Wind Generator Dynamics with Multimachine AC Systems

The impact of fixed speed squirrel cage type as well as variable speed doubly fed induction generators (DFIG) on dynamic performance of a multimachine power system has been investigated. Detailed models of the various components have been presented and the integration of asynchronous and synchronous generators has been carried out through a rotor angle based transform. Simulation studies carried out considering the conventional dynamic model of squirrel cage asynchronous generators show that integration, as such, could degrade to the AC system performance transiently. This article proposes a frequency or power controller which can effectively control the transients and restore normal operation of fixed speed induction generator quickly. Comparison of simulation results between classical cage and doubly-fed induction generators indicate that the doubly fed induction machine is more adaptable to multimachine AC system. Frequency controller installed in the DFIG system can also improve its transient profile. Keywords—Doubly-fed generator, Induction generator, Multimachine system modeling, Wind energy systems
Enhancing the effectiveness of a community-based management of acute malnutrition programme in Zambia

Field Exchange issue 60, July 2019, www.ennonline. net/fex by Stefania Moramarco with technical input from Giulia Amerio, Elisabetta Garuti, Gloria Gozza, Ersilia Buonomo and Leonardo Palombi
Multiple Kernel k-Means Clustering with Matrix-Induced Regularization

Multiple kernel k-means (MKKM) clustering aims to optimally combine a group of pre-specified kernels to improve clustering performance. However, we observe that existing MKKM algorithms do not sufficiently consider the correlation among these kernels. This could result in selecting mutually redundant kernels and affect the diversity of information sources utilized for clustering, which finally hurts the clustering performance. To address this issue, this paper proposes an MKKM clustering with a novel, effective matrix-induced regularization to reduce such redundancy and enhance the diversity of the selected kernels. We theoretically justify this matrix-induced regularization by revealing its connection with the commonly used kernel alignment criterion. Furthermore, this justification shows that maximizing the kernel alignment for clustering can be viewed as a special case of our approach and indicates the extendability of the proposed matrix-induced regularization for designing better clustering algorithms. As experimentally demonstrated on five challenging MKL benchmark data sets, our algorithm significantly improves existing MKKM and consistently outperforms the state-of-the-art ones in the literature, verifying the effectiveness and advantages of incorporating the proposed matrix-induced regularization.
A combined algorithm for high speed transmission-line protection based on traveling-wave

This paper investigates a high-speed and reliable transmission-line protection algorithm utilizing the fault induced traveling-waves in addition to the impedance measurements from the signals fundamental phasor. The wavelet transform is used to decompose the fault signals into different frequency bands, and the signal energy spectrum is calculated using obtained detail coefficients. Since the bus equipments influence the propagated traveling-waves in the power system, the signal spectral energy in different frequency bands would be different for the internal and external faults. This is used to accelerate the impedance relay operation when the measured impedance enters the second protective zone. A lot of simulation studies are carried out by using PSCAD/EMTDC software to evaluate the proposed algorithm and some of the obtained results are presented.
Study of Traffic Sign Detection and Recognition Algorithms

In today’s era of autonomous vehicles and connected cars, traffic sign detection and recognition is an important feature of autonomous vehicles and advanced driver assistance systems. There has been extensive research in this field and it has been a consistent application domain in the automotive sector. Recent times have seen the emergence of a large number of public datasets corresponding to different countries, over which traffic sign detection and recognition techniques are being employed. We present a survey paper which involves a comprehensive study of existing techniques being used, along with a performance analysis over different datasets. We also discuss the trade-off of the different options in terms of accuracy and recognition time.
Emprendimiento sostenible, significado y dimensiones

El emprendimiento sostenible es un tema poco explorado, se ha identificado una baja informacion teorica y empirica especialmente en idioma espanol, por esta razon este trabajo presenta una revision de literatura acerca del emprendimiento sostenible, el objetivo es comprender su significado y dimensiones. Para responder a este objetivo se realizo una revision de literatura, la seleccion de documentos fue realizada usando Scopus, despues se obtuvieron los documentos en science direct. (Ebsco, Taylor & Francis, Jstore y Willey Ano). Las areas de conocimiento que aborda este trabajo son la economia y la gestion de empresas. En primer lugar se presenta el emprendimiento y sus externalidades, enseguida el desarrollo sostenible, despues se integran los dos conceptos, emprendimiento y sostenibilidad, sus componentes, finalmente se muestran algunas ideas sobre la gestion privada y publica del emprendimiento sostenible.
Diffuse axonal injury due to nonmissile head injury in humans: An analysis of 45 cases

Forty‐five cases of diffuse axonal injury (DAI) brought about by nonmissile head injury in humans are analyzed and compared with 132 cases of fatal head injury without DAI. All cases were subjected to a comprehensive neuropathological study. In the patients with DAI a statistically significant lower incidence of lucid interval, fracture of the skull, cerebral contusions, intracranial hematoma, and evidence of high intracranial pressure were found, with a higher incidence of head injury due to road traffic accident. Brain swelling and hypoxic brain damage were not statistically different in the two groups. The features of DAI in humans are compared with the DAI that has been produced in subhuman primates by pure inertial loading brought about by angular acceleration of the head. The available evidence indicates that DAI in human beings occurs at the time of head injury and is not due to complicating factors such as hypoxia, brain swelling, or raised intracranial pressure.
Sequence polymorphism in the human apoB gene at position 8344.

Source/Description: pHZ-71 is a 2.8 kb fragment with EcoRI ends cloned in pBluescript II KS. It was subcloned from XHZ-71 which was isolated from a genomic library constructed in XDASH from a somatic cell hybrid retaining chromosome 6p as the only human chromosome (1). Polymorphism: identifies a two allele polymorphism: kb (B1) and 2.2 kb (B2). A 6.0 kb constant band was present. A two allele polymorphism was also identified using MspI in U.S. Blacks. The fragment sizes were 2.55 kb (Ml) and 2.3 kb (M2). A 4.3 kb constant band was present.
Performance analysis and optimization of cluster-based mesh FPGA architectures: design methodology and CAD tool support

Field programmable gate arrays (FPGAs) have become an attractive implementation medium for digital circuits. FPGA design’s big challenge is to find a good trade-off between flexibility and performance in terms of power dissipation, area density, and delay. This paper presents a new cluster-based FPGA architecture combining mesh and hierarchical interconnect topologies. Based on experimental method and benchmarks circuit implementation, this work provides a detailed exploration and analyses of the effect of cluster functionality on the proposed cluster-based FPGA in terms of power dissipation, area density, and delay. The exploration results showed that architecture with high cluster size provides high speed performance and low power dissipation. We noted also that architecture with small cluster size is more efficient in terms of area. Look-up-table (LUT) exploration showed that using architecture with 4-input LUT offers the best trade-off between power dissipation, area density, and delay.
Oxidant stress as a major determinant of platelet activation in invasive breast cancer

The hypothesis that increased oxidative stress in breast cancer (BC) patients could induce enhanced lipid peroxidation, which, in turn, would contribute to platelet activation and poor clinical outcome is attractive. To address this issue, we investigated pre‐surgical urinary 8‐iso‐prostaglandin (PG)F2α (marker of in vivo oxidative stress) and 11‐dehydro‐thromboxane (TX)B2 (marker of in vivo platelet activation) levels in patients with primary BC (n = 115) compared with control women paired for comorbidities and their association with patients' metabolic profile and clinical prognostic factors. The results obtained showed that presurgical urinary excretion of both biomarkers was enhanced in BC patients compared to controls and was associated with patients' estrogen receptor (ER) expression, but not HER2 status or Ki67 proliferation index. Accordingly, both urinary biomarkers were increased in patients with luminal‐like BC molecular subtypes compared with triple negative or HER2‐enriched tumors. ER status was an independent predictor of 8‐iso‐PGF2α urinary levels, which, in turn, significantly predicted 11‐dehydro‐TXB2 urinary levels together with disease stage and ER status. The prognostic value of 11‐dehydro‐TXB2 was then evaluated showing a significant correlation with BC pathological response to neoadjuvant treatment. Furthermore, among relapsing patients, those with elevated urinary biomarker levels were more likely to develop distant metastasis rather than local recurrence. In conclusion, we may speculate that enhanced oxidative stress due to estrogen‐related mechanisms might cause a condition of persistent platelet activation capable of sustaining BC growth and progression through the release of bioactive stored molecules, ultimately contributing to tumor invasiveness. Further studies specifically addressing this hypothesis are presently needed.
A method for 3D electron density imaging using single scattered x-rays with application to mammographic screening

Screening mammography is the current standard in detecting breast cancer. However, its fundamental disadvantage is that it projects a 3D object into a 2D image. Small lesions are difficult to detect when superimposed over layers of normal, heterogeneous tissue. In this work, we examine the potential of single scattered photon electron density imaging in a mammographic environment. Simulating a low-energy (<20 keV) scanning pencil beam, we have developed an algorithm capable of producing 3D electron density images from a single projection. We have tested the algorithm by imaging parts of a simulated mammographic accreditation phantom containing lesions of various sizes. The results indicate that the group of imaged lesions differ significantly from background breast tissue (p < 0.005), confirming that electron density imaging may be a useful diagnostic test for the presence of breast cancer.
Assessment of global and local model quality in CASP8 using Pcons and ProQ

Model Quality Assessment Programs (MQAPs) are programs developed to rank protein models. These methods can be trained to predict the overall global quality of a model or what local regions in a model that are likely to be incorrect. In CASP8, we participated with two predictors that predict both global and local quality using either consensus information, Pcons, or purely structural information, ProQ. Consistently with results in previous CASPs, the best performance in CASP8 was obtained using the Pcons method. Furthermore, the results show that the modification introduced into Pcons for CASP8 improved the predictions against GDT_TS and now a correlation coefficient above 0.9 is achieved, whereas the correlation for ProQ is about 0.7. The correlation is better for the easier than for the harder targets, but it is not below 0.5 for a single target and below 0.7 only for three targets. The correlation coefficient for the best local quality MQAP is 0.68 showing that there is still clear room for improvement within this area. We also detect that Pcons still is not always able to identify the best model. However, we show that using a linear combination of Pcons and ProQ it is possible to select models that are better than the models from the best single server. In particular, the average quality over the hard targets increases by about 6% compared with using Pcons alone. Proteins 2009. © 2009 Wiley‐Liss, Inc.
A State Duration Model for Brand Choice and Inter-Purchase Time

A new approach for analyzing state duration data in brand-choice studies is explored. This approach not only incorporates the correlation among repeated purchases for a subject, it also models the purchase timing and the brand decision jointly. The former is accomplished by applying transition model approaches from longitudinal studies while the latter is done by conditioning on the brand choice variable. Then mixed multinomial logit models and Cox proportional hazards models are employed to model the marginal densities of the brand choice and the conditional densities of the interpurchase time given the brand choice. We illustrate the approach using a Nielsen household scanner panel data set.
A biometric-based covert warning system using EEG

Covert Warning (CW) is a feature that allows an authorized person, when coerced, to secretly send out a warning message along with his/her personal identification. This concept was implemented in an identification system in this paper using brain-waves, i.e. Electroencephalogram (EEG), as the biometric modality. Our contribution is that we demonstrated clenching teeth producing robust signals, and proposed it as a novel CW solution to portable EEG-based biometric systems. When the volunteers were properly instructed, the CW messages were detected perfectly (i.e. 100% detection rate) in the new system. Meanwhile, the new system maintained its relatively high personal identification rate, when compared with the system without the CW feature.
Octave-Spanning Mid-Infrared Intrapulse Difference Frequency Generation with a Few-Cycle Cr: ZnS Laser

We generate longwave mid-IR transients between 4 and 18 μm via optical rectification of 5.9-W 78-MHz 20-fs laser pulses centered at 2.5 μ $m$. We achieve 0.15 W (0.014 W)average power in ZGP (GaSe)crystals. © 2019 The Author(s)
Reverse Engineering a Code without the Code: Reverse Engineering of a Java Card Dump

Retrieving assets from inside a secure element should be difficult. While the most attractive assets are the cryptographic keys stored in the Non Volatile Memory (NVM) area, the algorithms which are executed are also of interest. This means that the confidentiality of binary code embedded in the Read Only Memory (ROM) of that device should also be protected from extraction and reverse engineering. Thanks to a previous attack, we obtained a dump of the NVM, but not of the ROM. In this paper, we demonstrate that we can reverse engineer the algorithms without having access to the code by taking advantage of the object oriented features of the platform. We have only access to the data. We use a specifically designed graphic tool to reason about the data such that we are able to understand the principle of the algorithm. Then, we are able to bypass the protection mechanism in order to get access to the binary code.
Abscisic acid mediated biochemical changes in sunflower (Helianthus annuus L.) grown under drought and well-watered field conditions.

Water stress is a major and ever-present threat to crop production, especially where irrigation is an inevitable aid to agriculture. Three sunflower hybrids viz. DK-4040, S-278 and SF-187 were subjected to different irrigation regimes and ABA applications. Four irrigations applied at different times with and without ABA. In control treatment i.e. four irrigations were applied 25 days after sowing (DAS), at bud initiation, flower initiation and achene formation with no ABA spray. In drought stress treatment three irrigations were applied and one irrigation skipped either at bud or at flower initiation stage with and without ABA application. The experiment laid out in RCBD with factorial arrangements of treatments. LSD test was employed to compare the means of treatment at 5% level of probability. Drought significantly decreased achene yield and oil content but increased achene protein content and leaf compatible solutes in sunflower but vice versa happened by application of ABA. Drought stress to sunflower hybrids at bud or at flower initiation increased stearic and oleic acid and decreased palmitic and linoleic acid while exogenous application of ABA under water deficit at both stages slightly decreased stearic and oleic acid but increas ed palmitic and linoleic acid . Sunflower crop under water deficits conditions can be grown by application of ABA which is helpful in improving the drought tolerance as well as quality of oil.
Team Applied Robotics: A closer look at our robotic picking system

This paper describes the vision based robotic picking system that was developed by our team, Team Applied Robotics, for the Amazon Picking Challenge 2016. This competition challenged teams to develop a robotic system that is able to pick a large variety of products from a shelve or a tote. We discuss the design considerations and our strategy, the high resolution 3D vision system, the use of a combination of texture and shape-based object detection algorithms, the robot path planning and object manipulators that were developed.
A Stable Phylogeny for Dactylosporaceae

ABSTRACT The apothecial ascomycete family Dactylosporaceae includes saprobes and lichenicolous fungi. In recent studies, the phylogenetic position of this family was unstable within the subphylum Pezizomycotina. The present study provides a stable phylogenetic placement for Dactylosporaceae within the class Eurotiomycetes and we introduce the new order: Dactylosporales Ekanayaka, E.B. G. Jones, Q. Zhao & K.D. Hyde, ord. nov. to accommodate this family. We also introduce two new species: Dactylospora chiangraiensis Ekanayaka, E.B. G. Jones, Q. Zhao & K.D. Hyde, sp. nov. and Dactylospora fusiformis Ekanayaka, E.B. G. Jones, Q. Zhao & K.D. Hyde, sp. nov. to this family and their relationships with other taxa are represented in a multigene phylogeny.
Effects of Affect, Stereotype Consistency, and Valence of Behavior on Causal Attributions

Abstract The authors examined 3 hypotheses about the effects of 2 positive and 2 negative affects on causal attributions. On the basis of cognitive appraisal theories of emotion, they predicted that the grateful and angry participants would attribute causality for like-valenced behaviors to the target more strongly than would the happy and sad participants, respectively. Following an affect-induction procedure, 229 Anglo-American participants read a description of an African American target whose behavior was stereotype consistent or stereotype inconsistent and positive or negative in valence. As predicted, when the behavior was negative, the angry participants attributed it more strongly to the target than did the sad participants. When the behavior was positive, the grateful participants attributed it more strongly to the target than did the happy participants. The importance of distinguishing among affects and considering their multidimensional nature in predicting effects on social judgments is emphasized.
Nitric oxide induces polarization of actin in encephalitogenic T cells and inhibits their in vitro transendothelial migration in a p70S6 kinase‐independent manner

Nitric oxide (NO) inhibits both actively induced and transferred autoimmune encephalomyelitis. To explore potential mechanisms, we examined the ability of NO to inhibit migration of T lymphoblasts through both collagen matrices and monolayers of rat brain endothelial cells. The NO donor 1‐hydroxy‐2‐oxo‐3, 3‐bis (2‐aminoethyl)‐1‐triazene (HOBAT) inhibited migration in a concentration‐dependent manner. NO pretreatment of T cells inhibited migration through untreated endothelial cells, but NO pretreatment of endothelial cells had no inhibitory effect on untreated T cells. Therefore NO's migration inhibitory action was mediated through its effect on T cells and not endothelial cells. HOBAT did not inhibit migration by inducing T‐cell death but rather by polarizing the T cells, resulting in a morphology suggestive of migrating cells. P70S6 kinase, shown to have a role in NO‐induced migration inhibition in fibroblasts, had no role in the inhibitory effect of NO on T‐cell migration. Thus, HOBAT did not alter p70S6K activity nor did rapamycin, a specific inhibitor of p70S6K, inhibit HOBAT‐induced T‐cell morphological changes or T‐cell migration. We suggest that NO‐induced morphological changes result in T cells with predefined migratory directionality, thus limiting the ability of these cells to respond to other migratory signals.
An embedded stereo vision module for industrial vehicles automation

This paper presents an embedded vision system based on reconfigurable hardware (FPGA) to perform stereo image processing and 3D mapping of sparse features for autonomous navigation and obstacle detection in industrial settings. We propose an EKF based visual SLAM to achieve a 6D localization of the vehicle even in non flat scenarios. The system uses vision as the only source of information. As a consequence, it operates regardless of the odometry from the vehicle since visual odometry is used.
Skin friction related behaviour of artificial turf systems

ABSTRACT The occurrence of skin friction related injuries is an issue for artificial turf sports pitches and remains a barrier to their acceptance. The purpose of this study was to evaluate the current industry standard Securisport® Sports Surface Tester that measures skin surface related frictional behaviour of artificial turf. Little research has been published about the device and its efficacy, despite its widespread use as a standard FIFA test instrument. To achieve a range of frictional behaviours, several “third generation” (3G) carpet and infill combinations were investigated; friction time profiles throughout the Securisport rotations were assessed in combination with independent measurements of skin roughness before and after friction testing via 3D surface scanning. The results indicated that carpets without infill had greatest friction (coefficients of friction 0.97–1.20) while those completely filled with sand or rubber had similar and lower values independent of carpet type (coefficient of friction (COF) ≈0.57). Surface roughness of a silicone skin (s-skin) decreased after friction testing, with the largest change on sand infilled surfaces, indicating an “abrasive” polishing effect. The combined data show that the s-skin is damaged in a surface-specific manner, thus the Securisport COF values appear to be a poor measure of the potential for skin abrasion. It is proposed that the change in s-skin roughness improves assessment of the potential for skin damage when players slide on artificial turf.