Miracle-dz/UniFAR-FTUs huggingface dataset:
6 Spectral Analysis-- Smoothed Periodogram Method

The spectrum of a time series can be estimated by a variety of methods. In lesson 4 we looked at the Blackman-Tukey method, which uses a Fourier transform of the smoothed, truncated autocovariance function. In contrast, the smoothed periodogram method uses a Fourier transform of the time series itself. The transform yields a quantity called the raw periodogram, which in essence is a highly resolved spectral estimate. The raw periodogram was introduced in the late1800s for study of periodicity in time series. Unfortunately, the raw periodogram is a crude spectral estimate with high variance (great uncertainty). Smoothing the raw periodogram produces a better estimate of the spectrum – one with a smaller variance (tighter confidence interval). But smoothing reduces the ability of the spectrum to resolve periodic features that may be very close in wavelength. The smoothness, resolution and variance of spectral estimates is controlled by the choice of filters in smoothed periodogram analysis. Extremely broad smoothing produces an underlying smoothly varying spectrum, or null continuum, against which spectral peaks in less-severely smoothed periodogram can be tested for significance. This approach is an alternative to the specification of a functional form of the null continuum (e.g., red noise). The periodogram was one of the earliest statistical tools for studying periodic tendencies in time series (Figure 6.1). Prior to development of the periodogram such analysis was tedious and generally feasible only when the periods of interest covered a whole number of observations.
Dynamical density functional theory: binary phase-separating colloidal fluid in a cavity

The dynamical density functional theory of Marconi and Tarazona (1999 J. Chem. Phys. 110 8032), a theory for the non-equilibrium dynamics of the one-body density profile of a colloidal fluid, is applied to a binary fluid mixture of repulsive Gaussian particles confined in a spherical cavity of variable size. For this model fluid there exists an extremely simple Helmholtz free energy functional that provides a remarkably accurate description of the equilibrium fluid properties. We therefore use this functional to test the assumptions implicit in the dynamical density functional theory, rather than any approximations involved in constructing the free energy functional. We find very good agreement between the theory and Brownian dynamics simulations, focusing on cases where the confined fluid exhibits phase separation in the cavity. We also present an instructive derivation of the Smoluchowski equation (from which one is able to derive the dynamical density functional theory) starting from the Liouville equation—a fully microscopic treatment of the colloid and solvent particles. This ‘coarse graining’ is, of course, not exact and thus the derivation demonstrates the physical assumptions implicit in the Smoluchowski equation and therefore also in the dynamical density functional theory.
Automated 3D Pre-Vis for Modern Production

Hand-drawn storyboards have served the industry for decades and in recent years artist-created digital pre-vis animations have allowed directors, screenwriters and commissioners to ‘see’ their film long before the first scene is shot. However the nature of programme-making is changing. Digital effects, mixed-reality production and now stereoscopic 3D are becoming mainstream. Blurring the distinction between production and post-production, they bring complex planning issues that leave linear pre-vis approaches wanting. This paper describes ANSWER, a new approach to the creative process of film production based on a symbolic notation system akin to a musical score. The notation populates a machine-processable semantic model, or ontology, of the director’s creative intent, which in turn is used to automatically create lightweight 3D pre-vis animations. ANSWER is also integrated with DFT Bones Dailies, so that in post-production editors can quickly synchronise and compare pre-vised and actual footage.
Vulnerability, context, and fear of victimization: Exploring race and ethnicity

ABSTRACT The importance of individual- and structural-level factors in predicting fear of victimization has been a source of many empirical evaluations. Theoretical predictors that influence these associations such as those outlined in the vulnerability thesis on fear of crime regularly find that age, race, and gender are predictors of fear. We explore whether adolescent populations, not yet having internalized vulnerability, are more influenced by contextual factors. To explore this hypothesis, we employ the National Crime Victimization Survey: School Crime Supplement to examine the role of vulnerability on fear of victimization at school. Logistic regression suggests that contextual school-level factors may mediate the relationship between fear of victimization at school and individual characteristics such as age, race, and gender.
Dissociations in Coherence Sensitivity Reveal Atypical Development of Cortical Visual Processing in Congenital Achromatopsia.

PURPOSE While basic visual functions have been described in subjects with congenital achromatopsia (ACHM), little is known about their mid- or high-level cortical visual processing. We compared midlevel cortical visual processing in ACHM subjects (n = 11) and controls (n = 20). METHODS Abilities to detect global form, global motion, and biological motion embedded in noise were tested across a range of light levels, including scotopic, in which both ACHM subjects and controls must rely on rods. Contrast sensitivity functions (CSFs) were also measured. RESULTS Achromatopsia subjects showed differential impairments across tests. In scotopic conditions, global form was most impaired, while biological motion was normal. In a subset of three ACHM subjects with normal scotopic CSFs, two of the three showed global form perception worse than controls; all showed global motion comparable to controls; and strikingly, two of the three showed biological motion perception superior to controls. CONCLUSIONS The cone signal appears to play a crucial role in the development of perception of global form, as in ACHM this is impaired even in scotopic conditions, in which controls also have to rely on rods, and even in ACHM subjects with no scotopic spatial vision loss. In contrast, the rod signal appears sufficient for the development of normal (or even superior) extrastriate biological motion perception. These results suggest that ACHM leads to atypical development of cortical vision, highlighting the need to better understand the potential for further reorganization of cortical visual processing following new therapies aimed at restoring cone function.
STATISTICAL PREFERENCE AS A COMPARISON METHOD OF TWO IMPRECISE FITNESS VALUES

The tness value of a knowledge base (KB) can be unknown and only some imprecise information about it can be obtained. In some cases this information is given by means of an interval where we know the tness is contained. Thus, the comparison of two randomly distributed intervals is necessary in this context in order to be able to determine the preferences among individuals. This contribution is a rst approach to the use of statistical preference as a tool to compare this kind of intervals. We consider the probabilistic relation associated to the stochastic comparison of every pair of intervals and we study the cycle-transitivity of this relation. The defuzzication of this probabilitic relation, that is, the statistical preference relation, is studied and some properties are obtained. Our studies are particulary detailed for the case of the uniform distribution.
Searching for gravitational waves from the Crab pulsar—the problem of timing noise

Of the current known pulsars, the Crab pulsar (B0531+21) is one of the most promising sources of gravitational waves. The relatively large timing noise of the Crab causes its phase evolution to depart from a simple spin-down model. This effect needs to be taken into account when performing time domain searches for the Crab pulsar in order to avoid severely degrading the search efficiency. The Jodrell Bank Crab pulsar ephemeris is examined to see if it can be used for tracking the phase evolution of any gravitational wave signal from the pulsar, and we present a method of heterodyning the data that takes account of the phase wander. The possibility of obtaining physical information about the pulsar from comparisons of the electromagnetically and a gravitationally observed timing noise is discussed. Finally, additional problems caused by pulsar glitches are discussed.
Identification of a Role for the Ventral Hippocampus in Neuropeptide S-Elicited Anxiolysis

Neuropeptide S (NPS) increasingly emerges as a potential novel treatment option for anxiety diseases like panic and posttraumatic stress disorder. However, the neural underpinnings of its anxiolytic action are still not clearly understood. Recently, we reported that neurons of the ventral hippocampus (VH) take up intranasally administered fluorophore-conjugated NPS and, moreover, that application of NPS to mouse brain slices affects neurotransmission and plasticity at hippocampal CA3-CA1 synapses. Although these previous findings define the VH as a novel NPS target structure, they leave open whether this brain region is directly involved in NPS-mediated anxiolysis and how NPS impacts on neuronal activity propagation in the VH. Here, we fill this knowledge gap by demonstrating, first, that microinjections of NPS into the ventral CA1 region are sufficient to reduce anxiety-like behavior of C57BL/6N mice and, second, that NPS, via the NPS receptor, rapidly weakens evoked neuronal activity flow from the dentate gyrus to area CA1 in vitro. Additionally, we show that intranasally applied NPS alters neurotransmission and plasticity at CA3-CA1 synapses in the same way as NPS administered to hippocampal slices. Thus, our study provides, for the first time, strong experimental evidence for a direct involvement of the VH in NPS-induced anxiolysis and furthermore presents a novel mechanism of NPS action.
Determining reflectance and light position from a single image without distant illumination assumption

Several techniques have been developed for recovering reflectance properties of real surfaces under unknown illumination conditions. However, in most cases, those techniques assume that the light sources are located at infinity, which cannot be applied to, for example, photometric modelling of indoor environments. We propose two methods to estimate the surface reflectance property of an object, as well as the position of a light source from a single image without the distant illumination assumption. Given a color image of an object with specular reflection as an input, the first method estimates the light source position by fitting to the Lambertian diffuse component, while separating the specular and diffuse components by using an iterative relaxation scheme. Moreover, we extend the above method by using a single specular image as an input, thus removing its constraints on the diffuse reflectance property and the number of light sources. This method simultaneously recovers the reflectance properties and the light source positions by optimizing the linearity of a log-transformed Torrance-Sparrow model. By estimating the object's reflectance property and the light source position, we can freely generate synthetic images of the target object under arbitrary source directions and source-surface distances.
Genetic Analysis of the Role of Protein Kinase Cθ in Platelet Function and Thrombus Formation

Background PKCθ is a novel protein kinase C isozyme, predominately expressed in T cells and platelets. PKCθ−/− T cells exhibit reduced activation and PKCθ−/− mice are resistant to autoimmune disease, making PKCθ an attractive therapeutic target for immune modulation. Collagen is a major agonist for platelets, operating through an immunoreceptor-like signalling pathway from its receptor GPVI. Although it has recently been shown that PKCθ positively regulates outside-in signalling through integrin αIIbβ3 in platelets, the role of PKCθ in GPVI-dependent signalling and functional activation of platelets has not been assessed. Methodology/Principal Findings In the present study we assessed static adhesion, cell spreading, granule secretion, integrin αIIbβ3 activation and platelet aggregation in washed mouse platelets lacking PKCθ. Thrombus formation on a collagen-coated surface was assessed in vitro under flow. PKCθ−/− platelets exhibited reduced static adhesion and filopodia generation on fibrinogen, suggesting that PKCθ positively regulates outside-in signalling, in agreement with a previous report. In contrast, PKCθ−/− platelets also exhibited markedly enhanced GPVI-dependent α-granule secretion, although dense granule secretion was unaffected, suggesting that PKCθ differentially regulates these two granules. Inside-out regulation of αIIbβ3 activation was also enhanced downstream of GPVI stimulation. Although this did not result in increased aggregation, importantly thrombus formation on collagen under high shear (1000 s−1) was enhanced. Conclusions/Significance These data suggest that PKCθ is an important negative regulator of thrombus formation on collagen, potentially mediated by α-granule secretion and αIIbβ3 activation. PKCθ therefore may act to restrict thrombus growth, a finding that has important implications for the development and safe clinical use of PKCθ inhibitors.
Simplified information neural cell model and its basic properties

The information model of a biological neural cell includes three basic characteristics of the cell which directly determine the way of information processing in its body. These characteristics are: the synaptic connections, the cell membrane and the reaction of the cell soma depending on the summary input signal. The suggested model is mathematically described and some of its basic properties are analyzed, one of which is the definition of a projecting space with the same dimension as the dimension of the initial space of the input vectors. Based on this model a neural structure (NS) is suggested and analyzed, which can indirectly represent the input vector space of NS in the projecting space which is called in this paper - multidimensional Hough space.
Liposome-Based Adjuvants for Subunit Vaccines: Formulation Strategies for Subunit Antigens and Immunostimulators

The development of subunit vaccines has become very attractive in recent years due to their superior safety profiles as compared to traditional vaccines based on live attenuated or whole inactivated pathogens, and there is an unmet medical need for improved vaccines and vaccines against pathogens for which no effective vaccines exist. The subunit vaccine technology exploits pathogen subunits as antigens, e.g., recombinant proteins or synthetic peptides, allowing for highly specific immune responses against the pathogens. However, such antigens are usually not sufficiently immunogenic to induce protective immunity, and they are often combined with adjuvants to ensure robust immune responses. Adjuvants are capable of enhancing and/or modulating immune responses by exposing antigens to antigen-presenting cells (APCs) concomitantly with conferring immune activation signals. Few adjuvant systems have been licensed for use in human vaccines, and they mainly stimulate humoral immunity. Thus, there is an unmet demand for the development of safe and efficient adjuvant systems that can also stimulate cell-mediated immunity (CMI). Adjuvants constitute a heterogeneous group of compounds, which can broadly be classified into delivery systems or immunostimulators. Liposomes are versatile delivery systems for antigens, and they can carefully be customized towards desired immune profiles by combining them with immunostimulators and optimizing their composition, physicochemical properties and antigen-loading mode. Immunostimulators represent highly diverse classes of molecules, e.g., lipids, nucleic acids, proteins and peptides, and they are ligands for pattern-recognition receptors (PRRs), which are differentially expressed on APC subsets. Different formulation strategies might thus be required for incorporation of immunostimulators and antigens, respectively, into liposomes, and the choice of immunostimulator should ideally be based on knowledge regarding the specific PRR expression profile of the target APCs. Here, we review state-of-the-art formulation approaches employed for the inclusion of immunostimulators and subunit antigens into liposome dispersion and their optimization towards robust vaccine formulations.
FITS IN REACT CONFIDENCE SETS

REACT estimators use ideas from signal processing, model-selection, and shrinkage to achieve much smaller risk in one-way layouts and other linear models than does the classical least squares estimator. The REACT method can generate automatic scatterplot smoothers that compete well on standard data sets with the best fits obtained by other methods. This paper addresses two further questions: Which features in a REACT estimator are not necessarily present in the true mean vector; and which features of the true mean vector might have been smoothed out by the REACT estimator? We answer both questions by constructing extremal members of a confidence set of asymptotic coverage probability α that is centered at the REACT estimator. The methodology is demonstrated on two data-sets from the smoothing literature.
Personal selling and the purchasing function: where do we go from here?

The business-to-business selling function has changed over the years, with more informed and demanding buyers, prompting firms to move toward a more consultative, solution-selling approach. While these changes have been the focus of extensive research in the personal selling and sales management domain, the customer side of the interaction dyad requires more examination. Even within the context of the customer side, insufficient attention has been paid to the purchasing function in business-to-business (B2B) selling research. Given the increased importance in customer organizations of the purchasing function, this article presents a literature review that highlights the purchasing function's personal selling and sales management needs and argues that, as the purchasing function becomes more important and its needs evolve, personal selling and sales strategies also need to evolve. The article highlights areas for future research in this domain.
Litter breakdown and invertebrate detritivores in a resource-depleted Appalachian stream

We measured breakdown rates of leaves and small wood for the first three years in a stream in which detrital inputs were excluded for 7 years and in a reference stream located in the Appalachian Mountains of North Carolina, USA. Leaf and wood inputs were excluded using a gill-net canopy constructed over a 170-m section of stream. We hypothesized that red maple (Acer rubrum) and rhododendron (Rhodo- dendron mima) leaf breakdown rates would decline in the litter exclusion stream as shredder production decreased with each year of litter exclusion. In contrast, we expected faster wood breakdown rates in the litter exclusion stream as microbes and invertebrates shifted from leaves to wood as their primary organic matter resource. Consistent with our predictions, wood breakdown rates were significantly faster in the litter exclusion stream. We also found sigdicantly slower processing rates of maple leaves in the litter exclusion stream compared to the reference stream during years 2 and 3. Slower breakdown rates for red maple leaves in the litter exclusion stream were associated with lower shredder production and estimated consumption rates in years 2 and 3. Shredder production and consumption rate estimates were also lower in the ex- clusion stream for rhododendron leaves, but leaf breakdown rates were not affected. We also found that shredder production in litterbags was 3-4 x greater than in benthic substrates in the litter exclusion stream. In contrast, shredder production in litterbags was similar to that in benthic substrates in the reference stream. These differences were probably due to the relatively low availability of organic matter in benthic sub- strates in the litter exclusion stream. Our data show shredders track high quality or- ganic matter resources (leaves) and contribute to their loss rate, illustrating the interde- pendence of stream organisms and terrestrial organic matter input.
MUX: algorithm selection for software model checkers

With the growing complexity of modern day software, software model checking has become a critical technology for ensuring correctness of software. As is true with any promising technology, there are a number of tools for software model checking. However, their respective performance trade-offs are difficult to characterize accurately – making it difficult for practitioners to select a suitable tool for the task at hand. This paper proposes a technique called MUX that addresses the problem of selecting the most suitable software model checker for a given input instance. MUX performs machine learning on a repository of software verification instances. The algorithm selector, synthesized through machine learning, uses structural features from an input instance, comprising a program-property pair, at runtime and determines which tool to use. We have implemented MUX for Windows device drivers and evaluated it on a number of drivers and model checkers. Our results are promising in that the algorithm selector not only avoids a significant number of timeouts but also improves the total runtime by a large margin, compared to any individual model checker. It also outperforms a portfolio-based algorithm selector being used in Microsoft at present. Besides, MUX identifies structural features of programs that are key factors in determining performance of model checkers.
Immune Modulation as an Effective Adjunct Post-exposure Therapeutic for B. pseudomallei

Melioidosis is caused by the facultative intracellular bacterium Burkholderia pseudomallei and is potentially fatal. Despite a growing global burden and high fatality rate, little is known about the disease. Recent studies demonstrate that cyclooxygenase-2 (COX-2) inhibition is an effective post-exposure therapeutic for pulmonary melioidosis, which works by inhibiting the production of prostaglandin E2 (PGE2). This treatment, while effective, was conducted using an experimental COX-2 inhibitor that is not approved for human or animal use. Therefore, an alternative COX-2 inhibitor needs to be identified for further studies. Tolfenamic acid (TA) is a non-steroidal anti-inflammatory drug (NSAID) COX-2 inhibitor marketed outside of the United States for the treatment of migraines. While this drug was developed for COX-2 inhibition, it has been found to modulate other aspects of inflammation as well. In this study, we used RAW 264.7 cells infected with B pseudomallei to analyze the effect of TA on cell survival, PGE2 production and regulation of COX-2 and nuclear factor- kappaB (NF-ĸB) protein expression. To evaluate the effectiveness of post-exposure treatment with TA, results were compared to Ceftazidime (CZ) treatments alone and the co-treatment of TA with a sub-therapeutic treatment of CZ determined in a study of BALB/c mice. Results revealed an increase in cell viability in vitro with TA and were able to reduce both COX-2 expression and PGE2 production while also decreasing NF-ĸB activation during infection. Co-treatment of orally administered TA and a sub-therapeutic treatment of CZ significantly increased survival outcome and cleared the bacterial load within organ tissue. Additionally, we demonstrated that post-exposure TA treatment with sub-therapeutic CZ is effective to treat melioidosis in BALB/c mice.