Miracle-dz/UniFAR-FTUs huggingface dataset:
EPIsTEMIC MIsUsE AND A BUsE Of PICTORIAL CARICATURE

In 1897, during the “golden age” of the editorial cartoon, New york political boss Thomas Platt spearheaded a campaign in the New york state Legislature to enact legislation banning cartoons from targeting public officials. Though ultimately unsuccessful, this anti-cartoon legislation inspired editorial cartoonist Homer Davenport to draw a cartoon entitled “No Honest Man Need fear Cartoons” featuring a caricature of “Boss” Platt alongside one of “Boss” Tweed of Tammany Hall infamy. A similar legislative effort by the 1915 Alabama state Legislature was skewered in a frank spangler editorial cartoon depicting an Alabama legislator peering into the “Cartoon Mirror” and being startled by the grotesque, sinister-looking caricature reflected back. Presumably, the operative idea behind both pieces is generally that (a) the editorial cartoon, principally via its employ of pictorial caricature, can inform its audience about the world much like its journalistic cousin, editorial writing, and specifically that (b) the corrupt should fear being caricatured in editorial cartoons because pictorial caricature can be revelatory about the nature of its subject, perhaps even on par with, or in a manner unavailable to, the printed word. To be sure, caricature can be employed as a powerfully persuasive tool. However, this persuasive power flows not from caricature’s capacity for providing penetrating insight into the nature of its subject but instead from its unique ability to exploit the powerful and pervasive cognitive biases of its audience. That is, caricature as a means of persuasion—in service to noble, heroic, repugnant, and vile ends alike—can be effectively employed only when its audience is less than ideally rational, specifically one replete with certain cognitive biases (e.g., certain confirmation biases in concert with certain caricature-elicited behavioral response biases). Considering that no actual audience is in fact an ideally rational audience in concert with the standard and substantial role pictorial caricature plays in the editorial cartoon, perhaps, for both honest and dishonest alike, cartoons may well be a fearsome thing indeed. This paper argues that the extent to which a pictorial depiction purporting to provide non-trivial epistemic access to some proposition about real-world states of affairs constitutively employs pictorial caricature in service to that epistemic uptake is the extent to which that depiction undermines
Probing cortical excitability using rapid frequency tagging 1

13 Frequency tagging has been widely used to study the role of visual selective attention. 14 Presenting a visual stimulus flickering at a specif ic frequency generates so-called steady-state 15 visually evoked responses. However, frequency taggi ng is mostly done at lower frequencies 16 (<30 Hz). This produces a visible flicker, potentia lly interfering with both perception and 17 neuronal oscillations in the theta, alpha and beta and. To overcome these problems, we used 18 a newly developed projector with a 1440 Hz refresh rate allowing for frequency tagging at 19 higher frequencies. We asked participants to perfor m a cued spatial attention task in which 20 imperative pictorial stimuli were presented at 63 H z or 78 Hz while measuring whole-head 21 magnetoencephalography (MEG). We found posterior se nsors to show a strong response at 22 the tagged frequency. Importantly, this response wa s enhanced by spatial attention. 23 Furthermore, we reproduced the typical modulations f alpha band oscillations, i.e., decrease 24 in the alpha power contralateral to the attentional cue. The decrease in alpha power and 25 increase in frequency tagged signal with attention c rrelated over subjects. We hereby 26 provide proof-of-principle for the use of high-freq uency tagging to study sensory processing 27 and neuronal excitability associated with attention . 28
UvA-DARE (Digital Academic Repository) First Event Horizon Telescope

We present the calibration and reduction of Event Horizon Telescope ( EHT ) 1.3 mm radio wavelength observations of the supermassive black hole candidate at the center of the radio galaxy M87 and the quasar 3C 279, taken during the 2017 April 5 – 11 observing campaign. These global very long baseline interferometric observations include for the ﬁ rst time the highly sensitive Atacama Large Millimeter / submillimeter Array ( ALMA ) ; reaching an angular resolution of 25 μ as, with characteristic sensitivity limits of ∼ 1 mJy on baselines to ALMA and ∼ 10 mJy on other baselines. The observations present challenges for existing data processing tools, arising from the rapid atmospheric phase ﬂ uctuations, wide recording bandwidth, and highly heterogeneous array. In response, we developed three independent pipelines for phase calibration and fringe detection, each tailored to the speci ﬁ c needs of the EHT. The ﬁ nal data products include calibrated total intensity amplitude and phase information. They are validated through a series of quality assurance tests that show consistency across pipelines and set limits on baseline systematic errors of 2% in amplitude and 1 ° in phase. The M87 data reveal the presence of two nulls in correlated ﬂ ux density at ∼ 3.4 and ∼ 8.3 G λ and temporal evolution in closure quantities, indicating intrinsic variability of compact structure on a  timescale of days, or several light-crossing times for a  few billion solar-mass black hole. These measurements provide the ﬁ rst opportunity to image horizon-scale structure
Periodically Grown Quantum Nanostructures with Arbitrary Geometries: Periodicity Effects on the Induced Electro-elastic Fields

Quantum nanostructures (QNSs), due to their widespread and attractive physical, optical, and electronic properties, have been at the center of attention of many nanoscience and nanotechnology researches. In order to predict the electro-mechanical behavior of QNSs, accurate determination of the electro-elastic fields induced by quantum wells (QWs), quantum wires (QWRs), and quantum dots (QDs) in such nanostructures would be of great importance and particular interest. In this study, by utilization of the electro-mechanical eigenfield concept in conjunction with the Fourier series technique, an analytical solution is presented which gives the electro-elastic fields induced by one-, two-, and three-dimensional periodic distribution of QWs, QWRs, and QDs, respectively. This methodology takes into account the electro-mechanical couplings of elastic and electric fields within the piezoelectric barrier as well as the interaction between periodically grown QWRs and QDs. The latter would be so important since the density of the periodically grown QNSs will have significant effects on the induced electro-elastic fields within both the QNSs and the surrounding barrier; this issue is addressed precisely in the present study by measuring the induced electro-elastic fields due to different periodicities of pyramidal QDs. Furthermore, the current formulation is capable of treating arbitrary geometries of QWRs and QDs which makes the solution more interesting and powerful. © 2015 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the organizing committee of UFGNSM15.
NUMERICAL SIMULATION OF NATURAL CONVECTION IN A POROUS CAVITY FILLED WITH FERROFLUID IN PRESENCE OF MAGNETIC SOURCE

In this study, numerical simulation of natural convection in a porous square cavity filled with Fe3O4-water is investigated. A magnetic source through the left wall of the cavity is also taken into account. Radial basis function based pseudo spectral (RBF-PS) method is applied. The effects of dimensionless parameters Darcy (Da), Hartmann (Ha), Rayleigh (Ra) numbers and solid volume fraction 𝝓 are presented both in terms of streamlines, isotherms and vorticity contours and average Nusselt number through the heated wall. Convective heat transfer is inhibited with the rise of Ha, and with the decrease in Da while it is enhanced with the increase in 𝝓 and Ra.
REPRESENTING POLYMER MODIFIED BITUMEN IMAGES USING TEXTURAL FEATURES

This study aims to analyze the textural features extracted from microscopic images of organoclay nanocomposite, styrene butadiene styrene (SBS); ethylene vinyl acetate (EVA), and ethylene butyl acrylate (EBA) polymer modified bitumens (PMB) with polymer composition variation. Fluorescence microscopy was employed to capture the microscopic images from thin films of PMB samples at different magnification scales (40x, 100x, 400x). Gabor filters were utilized to extract the textural features of bitumen images. The dimensionality of the feature space was reduced from 72 to 2 by using different techniques to enable visualization of distinct classes. The results indicated that, texture analysis makes it possible to accurately identify samples that belong to a particular class (i.e. a particular content and/or a particular polymer type).
NBTI-Resilient Memory Cells with NAND Gates for Highly-Ported Structures

NBTI is one of the most important sources of failure affecting transistors. NBTI degrades PMOS transistors whenever the voltage at the gate is negative (logic input “0”). Memory cells of storage blocks (e.g., register files) observe a “0” in the input of one of the two inverters at least 50% of the time. This paper proposes a new memory-cell design for highlyported structures consisting in a number of NAND gates arranged in a ring-manner that allows reducing the maximum degradation ratio due to NBTI below 50%.
Emergent Percolation Length and Localization in Random Elastic Networks

We study, theoretically and numerically, a minimal model for phonons in a disordered system. For sufficient disorder, the vibrational modes of this classical system can become Anderson localized, yet this problem has received significantly less attention than its electronic counterpart. We find rich behavior in the localization properties of the phonons as a function of the density, frequency, and spatial dimension. We use a percolation analysis to argue for a Debye spectrum at low frequencies for dimensions higher than one, and for a localization-delocalization transition (at a critical frequency) above two dimensions. We show that in contrast to the behavior in electronic systems, the transition exists for arbitrarily large disorder, albeit with an exponentially small critical frequency. The structure of the modes reflects a divergent percolation length that arises from the disorder in the springs without being explicitly present in the definition of our model. Within the percolation approach, we calculate the speed of sound of the delocalized modes (phonons), which we corroborate with numerics. We find the critical frequency of the localization transition at a given density and find good agreement of these predictions with numerical results using a recursive Green-function method that was adapted for this problem. The connection of our results to recent experiments on amorphous solids is discussed.
A Practical Method for the Dynamic Analysis of Non-Uniform Piezoelectric Rod

Bu calismada, duzgun olmayan piezoelektrik cubugun dinamik analizi icin birlesik bir yaklasim sunulmaktadir. Cubugun enine kesit alaninin rastgele olarak uzunlamasina eksen boyunca degistigi varsayilmaktadir. Bu nedenle, zorlanmis titresim analizinde duzgun olmayan piezoelektrik izotropik cubugu idare eden kismi diferansiyel denklemler, mekanik ve elektrostatik denklemler dikkate alinarak degisken bir katsayili olarak elde edilirler. Bu denklemlerin analitik cozumleri sadece basit kesit alanlari icin mumkundur. Il k olarak, sistemi idare eden denklemler Laplace uzayina donusturulur ve daha sonra dort farkli yuk fonksiyonu altinda rastgele kesit alani icin pseudospektral Chebyshev yaklasimi ile sayisal olarak cozulur. Nihai sonuclar, modifiye edilmis Durbin proseduru kullanilarak zaman uzayina donusturulur. Yontem, analitik olarak da cozulebilen basit kesit alanina sahip piezoelektrik cubuk sonuclari ile dogrulanmistir.
A model-driven approach for graphical user interface modernization reusing legacy services

Software modernization for business applications is often driven by the need for supporting additional frontend channels such as web or mobile. At the same time, business logic encapsulated by services and the underlying persistence implementation should be reused. In contrast to writing new graphical user interfaces (GUI) utilizing the latest programming language or framework, we propose a model-driven software engineering (MDSE) approach for specifying the new graphical user interface. In addition, we utilize model-based reverse engineering (MBRE) to discover, transform and integrate existing services and their data types. By providing support for modeling an anti-corruption layer, existing services can be integrated into the new GUI model without exposing potential design ﬂaws from the legacy system. The model of legacy services and data types combined with the newly modeled graphical user interfaces are processed by transformation and generation processes to create source code for user interface, anti-corruption layer and service calls. Thus, enabling efﬁcient integration of existing services in new GUIs by model-based reverse engineering and ensuring ﬂexibility to quickly adapt new graphical user interface technologies through model-driven engineering techniques in the future. First experience from real-world projects indicates that the introduced approach enables faster creation of new graphical user interfaces by relying on production-proven services and data types.
Clinical Reviews: Clinical Arrhythmias

This has led to interventions to decrease VT recurrence and associated ICD shocks, including radiofrequency catheter ablation therapy. However, these advances have not translated into the same long-term successes for patients who present with VT in the setting of nonischaemic CM (NICM). Yet, it has been increasingly recognised in VT referral centres that there is a growing number of patients referred for consideration of VT ablation secondary to NICM.
Dominance across montane meadows : patterns and processes structuring plant 2 communities 3 4

5 6 1Department of Plant Biology, 612 Wilson Road, East Lansing, Michigan State University, MI, 7 48824 8 9 2Department of Integrative Biology, 3040 Valley Life Sciences Building, MC3140, University of 10 California Berkeley, Berkeley, CA, 94720 11 12 3Oklahoma Biological Survey and Microbiology and Plant Biology Department, 111 E. 13 Chesapeake St., University of Oklahoma, Norman, OK, 73019 14 15 16 17 18 19 20 21 *Corresponding Author: Lara Souza, email: lara.souza@ou.edu 22 23 24 25 26 27 28 29 30 31
Thermal Modelling of Electrical Insulation System in Power Transformers

Temperature is one of the limiting factors in the application of power transformers. According to IEC 60076-7 standard, a temperature increase of 6 (cid:1) C doubles the insulation ageing rate, reducing the expected lifetime of the device. Power losses of the transformer behave as a heating source, and the insulating liquids act as a coolant circulating through the windings and dissipating heat. For these reasons, thermal modelling becomes an important fact of transformer design, and both manufacturers and utilities consider it. Different techniques for thermal modelling have been developed and used for determining the hot-spot temperature, which is the highest temperature in the winding, and it is related with the degradation rate of the solid insulation. First models were developed as a first estimation for modelling the hot-spot temperature and the top-oil temperature. These models were based on thermal-electric analogy and are known as dynamic models. Other two different kinds of models are widely used for thermal modelling, known as Computational Fluid Dynamics (CFD) and Thermal Hydraulic Network Models (THNMs). These two techniques determine the temperature and velocity fields in the winding and in the insulating fluid. In this chapter, the different techniques for transformer thermal modelling will be introduced and described.
Classification of Corn Stalk Lodging Resistance Using Equivalent Forces Combined with SVD Algorithm

Corn stalk lodging, which involves the breakage of the stalk below the ear following either bad weather, insect infestation or stormy rain, usually leads to harvest loss, increased harvesting time and higher drying costs. The objective of this study was to develop a method that can classify corn stalk lodging resistance. This method, which employed the maximum equivalent force exerted on a corn stalk, corresponding stalk agronomic traits, and the singular value decomposition (SVD) algorithm, showed that the five corn varieties with different stalk lodging resistance from two planting densities of 60,000 plants/ha and 75,000 plants/ha can be effectively classified. A customized device was designed to measure the equivalent forces. Three factors, including the planting density, the stalk diameter, and the maximum equivalent force with comprehensive contributions of −0.4603, 0.4196 and 0.4068, which are related to principal components, play an important role in the classification of corn stalk lodging resistance. The results showed that the corn stalk lodging resistance decreased with increase in planting density; however, with the increase in stalk diameter and maximum equivalent force, the lodging resistance significantly increased. Corn breeders can develop higher lodging resistance-based corn varieties by using this approach.
Strong influence of deposition and vertical mixing

26 Differences between two air quality modeling systems reveal important 27 uncertainties in model representations of secondary organic aerosol (SOA) fate. Two 28 commonly applied models (CMAQ: Community Multiscale Air Quality; CAMx: 29 Comprehensive Air Quality Model with extensions) predict very different OA 30 concentrations over the eastern U.S., even when using the same source data for 31 emissions and meteorology and the same SOA modeling approach. Both models 32 include an option to output a detailed accounting of how each model process (e.g., 33 chemistry, deposition, etc.) alters the mass of each modeled species, referred to as 34 process analysis. We therefore perform a detailed diagnostic evaluation to quantify 35 simulated tendencies (Gg/hr) of each modeled process affecting both the total model 36 burden (Gg) of semi-volatile organic compounds (SVOC) in the gas (g) and aerosol (a) 37 phases and the vertical structures to identify causes of concentration differences 38 between the two models. Large differences in deposition (CMAQ: 69.2 Gg/d; CAMx: 39 46.5 Gg/d) contribute to significant OA bias in CMAQ relative to daily averaged 40 ambient concentration measurements. CMAQ’s larger deposition results from faster 41 daily average deposition velocities (VD) for both SVOC (g) (VD,cmaq = 2.15 x VD,camx) 42 and aerosols (VD,cmaq = 4.43 x Vd,camx). Higher aerosol deposition velocity would be 43 expected to cause similar biases for inert compounds like elemental carbon (EC), but 44 this was not seen. Daytime low-biases in EC were also simulated in CMAQ as expected 45 but were offset by nighttime high-biases. Nighttime high-biases were a result of overly 46 shallow mixing in CMAQ leading to a higher fraction of EC total atmospheric mass in 47 the first layer (CAMx: 5.1–6.4%; CMAQ: 5.6 – 6.9%). Because of the opposing 48 daytime and nighttime biases, the apparent daily average bias for EC is reduced. For 49 OA, there are two effects of reduced vertical mixing: SOA and SVOC are concentrated 50 near the surface, but SOA yields are reduced near the surface by nighttime 51 enhancement of NOx. These results help to characterize model processes in the context 52 of SOA and provide guidance for model improvement. 53
Prevention Potency of Soaps and Disinfectants on Vancomycin Resistant Enterococcus faecalis Infection

Biocides are an essential part of infection control practices and aid in the prevention of bacterial infections. This work investigates the antibacterial effectiveness of four brands each of disinfectants, antiseptic and ordinary soaps purchased from different supermarkets in Osogbo and Ado-Ekiti, Nigeria against selected Enterococcus faecalis strains, using standard methods . The disinfectants include; Septol, Dettol, Purit and Izal. The soaps assessed were: Medisoft, Robert, Tetmosol, Tura, Lux, Morning fresh, Mama - gold, and Canoe. Two of the disinfectants (Septol and Purit) had the highest growth inhibition of the test isolates (55% and 65% respectively). Antibacterial effectiveness of ordinary soaps; Mama-gold, Morning-fresh, Premier and Lux were recorded as 10%, 15%, 15% and 20% respectively, followed by antiseptic soaps (Medisoft 30%, Tura40%, Robbert 35% and Tetmosol 50%). The effect of holding time on the rate of kill of soaps and disinfectants does not show any significant difference except in Purit with highest at 100 seconds. This research concludes that disinfectants have higher prevention potency on enterococcal pathogens with high records of inhibition (55% and 65%) of Septol and Purit on Enterococcus faecalis strains as against the inhibition of antiseptic soap, Tetmosol (50%) and ordinary soap, Lux (20%). Hence, the use of disinfectants and antiseptic soaps should be encouraged in our food canteens, to prevent the spread of enterococcal infections.
Predictive analytics that reflect disease burden: the cumulative COMET score

Predictive analytics tools variably take into account data from the electronic medical record, lab tests, nursing charted vital signs and continuous cardiorespiratory monitoring data to deliver an instantaneous score that indicates patient risk or instability. Few, if any, of these tools reflect the risk to a patient accumulated over the course of an entire hospital stay. This approach fails to best utilize all of the collated data regarding the risk or instability sustained by the patient, and hence fails to fully characterize this to optimize the ability of treating clinicians to maximize the chances of a favorable outcome. We have built on our instantaneous CoMET predictive analytics score to generate the cumulative CoMET score (cCOMET), which sums all of the instantaneous CoMET scores throughout a hospital admission relative to a baseline expected risk unique to that patient. We have shown that higher cCOMET scores predict mortality, but not length of stay, and that higher baseline CoMET scores predict higher cCoMET scores at discharge/death. cCoMET scores were higher in males in our cohort, and added information to the final CoMET when it came to the prediction of death. In summary, if one is going to go to the trouble and expense of performing repeated measures when performing predictive analytics calculations, we have shown that including all of these measures in a cumulative way adds data to instantaneous predictive analytics, and could improve the ability of clinicians to predict deterioration, and improve patient outcomes in so doing.
closed Control System Design for 3x3 Processes Based on Effective Transfer Function and Fractional Order

 Abstract Designing of PI/PID controller with fractional order set point filter is proposed to achieve the improved performance of 3x3 processes. But the design of controller for such higher dimensional multivariable processes is too difficult task because of interaction involved between the process variables. So interaction must be taken into design consideration. In this method of design determines the interaction between the variables using RGA and RNGA methods and uses it in converting the multivariable processes into multiple single loops. The interaction problems between the loops are overcome by incorporating the decouplers in the control loops. Then, the Effective Transfer Function (ETF) has obtained to design PI/PID controller for each individual element as in single input processes. The fractional order filter is also added to improve the servo response of the processes. Hence, the proposed system improves the overall performance by minimizing the interaction effects due to set point variations. This method is also validate by using a case