Audio-visual Rhetoric: Visualizing the Pattern Language of Film

Audio-visual Rhetoric is a knowledge domain for designers in theory and practice that is valid for all communicative actions through media that aim for persuasion. Within this domain, we introduce a framework for media analysis. We developed an Audio-Visual Pattern (AVP) language for film that is visualized within a notation system. This system shows auditory and visual parameters in order to reveal film’s rhetorical structure. We discuss related theories from pattern language and rhetoric and apply the AVP method to analyze 10 commercials. Keywords: Pattern Language, Film Analysis, Rhetoric, Emotion, Persuasion, Design Research</p

A UV Complete Compositeness Scenario: LHC Constraints Meet The Lattice

We investigate a recently proposed UV-complete composite Higgs scenario in the light of the first LHC runs. The model is based on a $SU(4)$ gauge group with global flavour symmetry breaking $SU(5) \to SO(5)$, giving rise to pseudo Nambu-Goldstone bosons in addition to the Higgs doublet. This includes a real and a complex electroweak triplet with exotic electric charges. Including these, as well as constraints on other exotic states, we show that LHC measurements are not yet sensitive enough to significantly constrain the model's low energy constants. The Higgs potential is described by two parameters which are on the one hand constrained by the LHC measurement of the Higgs mass and Higgs decay channels and on the other hand can be computed from correlation functions in the UV-complete theory. Hence to exclude the model at least one constant needs to be determined and to validate the Higgs potential both constants need to be reproduced by the UV-theory. Due to its UV-formulation, a certain number of low energy constants can be computed from first principle numerical simulations of the theory formulated on a lattice, which can help in establishing the validity of this model. We assess the potential impact of lattice calculations for phenomenological studies, as a preliminary step towards Monte Carlo simulations.Comment: 12 pages, 6 figure

Higgs boson off-shell measurements probe nonlinearities

The measurements of off-shell Higgs boson contributions in massive gauge boson pair production are known to probe its electroweak interactions across different energy scales. Often employed as an estimator of the Higgs boson width in restricted theories of beyond the Standard Model physics, we revisit this measurement and readvertise its potential to constrain aspects of Higgs boson nonlinearity. We show that this so-called off-shell measurement complements related analyses of multi-Higgs final states

Emotional Response to the Audio-visual Pattern Language of Film

In this paper, we evaluate a notation system for Audio-visual Patterns (AVP) that visualizes auditory and visual parameters of film. This system is the basis for a comparative analysis of the rhetorical structure and for predicting the emotional response of viewers of film. We conducted two experiments to test the prediction of the proposed AVP system by asking female viewers about their emotional responses to 10 selected TV commercials. The results indicate that the AVP system provides sound predictions regarding the arousal level of the viewers as the commercial unfolds

Spontaneous Magnetization of the O(3) Ferromagnet at Low Temperatures

We investigate the low-temperature behavior of ferromagnets with a spontaneously broken symmetry O(3) $\to$ O(2). The analysis is performed within the perspective of nonrelativistic effective Lagrangians, where the dynamics of the system is formulated in terms of Goldstone bosons. Unlike in a Lorentz-invariant framework (chiral perturbation theory), where loop graphs are suppressed by two powers of momentum, loops involving ferromagnetic spin waves are suppressed by three momentum powers. The leading coefficients of the low-temperature expansion for the partition function are calculated up to order $p^{10}$. In agreement with Dyson's pioneering microscopic analysis of the cubic ferromagnet, we find that, in the spontaneous magnetization, the magnon-magnon interaction starts manifesting itself only at order $T^4$. The striking difference with respect to the low-temperature properties of the O(3) antiferromagnet is discussed from a unified point of view, relying on the effective Lagrangian technique.Comment: 23 pages, 4 figure

Comparison of Four Approaches to Age and Gender Recognition for Telephone Applications

This paper presents a comparative study of four different ap-proaches to automatic age and gender classification using seven classes on a telephony speech task and also compares the results with Human performance on the same data. The automatic approaches compared are based on (1) a parallel phone recognizer, derived from an automatic language identification system; (2) a system using dy-namic Bayesian networks to combine several prosodic features; (3) a system based solely on linear prediction analysis; and (4) Gaus-sian mixture models based on MFCCs for separate recognition of age and gender. On average, the parallel phone recognizer performs as well as Human listeners do, while loosing performance on short utterances. The system based on prosodic features however shows very little dependence on the length of the utterance. Index Terms — speech processing, acoustic signal analysis, speaker classification, age, gender 1

Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570

Handling irregularities of 3D building data during surface computation

Real-world data, esp. three-dimensional measurements of buildings, contain various irregularities, e.g. common vertices of building parts. These irregularities cause large problems in data conversion from CSG to B-rep. We will present an approach which can tackle these irregularities using geometrical properties of buildings and extensions of basic operations from the field of analytic geometry. An extensive 3D scene will be described and converted

Inducing Integrity Constraints from Knowledge Bases

. Integrity constraints are important logical tools for the general organization of knowledge. Integrity constraints (in short: ICs), which are commonly used in the field of deductive databases, specify general regularities like &quot;a son is not older than his father.&quot; They facilitate the organization of knowledge in expert systems and can speed up the queryresponse time significantly. This paper presents an approach for inductively generating compact integrity constraints from knowledge bases, represented in first-order logic. To obtain the most powerful ICs, the huge space of potential ICs, which are principally consistent with a given knowledge base, is restricted by IC-schemes. IC-schemes specify ICs syntactically. The proposed method searches the resulting space of ICs efficiently by pruning away whole subspaces. The approach is also capable of detecting irregularities in &quot;noisy&quot; knowledge bases which might be inconsistent. Empirical results illustrate the appropriateness of this me..