Miracle-dz/UniFAR-FTUs huggingface dataset:
„ich schreib das mal hier rein ähm“Modality-taking – Schreibhinweise in professionellen mündlichen Interaktionssituationen

Zusammenfassung Der Beitrag fokussiert Formen von Modalitätsinterdependenzen (MID) in professionellen Kontexten. MID sind dabei definiert als Zusammenspiel komplexer Ausdrucksressourcen wie z. B. Sprechen, Schreiben und Visualisieren. Bisher fehlen Ansätze, Methoden und Tools für die systematische Beschreibung und Analyse der Formen und Funktionen von MID. Die vorliegende Untersuchung setzt an dieser Stelle an. Sie gliedert sich ein in Forschungen zur Multimodalität von Kommunikation. Ziel ist es, ein Modell für die Beschreibung und Analyse von MID vorzustellen. Ein Aspekt wird hier herausgegriffen und fallbeispielbezogen diskutiert: das Modality-taking. Der Begriff Modality-taking bezeichnet die aktive Zuwahl einer Ausdrucksressource durch einen Interaktionsbeteiligten und ihre explizite verbale oder in einer anderen Ausdrucksressource erfolgende Thematisierung. Erste Analyseergebnisse zeigen, dass Modality-taking im Vorfeld einer MID mit kommunikativen Funktionen im Interaktionsgeschehen (z. B. Ankündigen einer MID) verbunden ist.
Perception for mobile manipulation and grasping using active stereo

In this paper we present a comprehensive perception system with applications to mobile manipulation and grasping for personal robotics. Our approach makes use of dense 3D point cloud data acquired using stereo vision cameras by projecting textured light onto the scene. To create models suitable for grasping, we extract the supporting planes and model object clusters with different surface geometric primitives. The resultant decoupled primitive point clusters are then reconstructed as smooth triangular mesh surfaces, and their use is validated in grasping experiments using OpenRAVE [1]. To annotate the point cloud data with primitive geometric labels we make use of our previously proposed Fast Point Feature Histograms [2] and probabilistic graphical methods (Conditional Random Fields), and obtain a classification accuracy of 98.27% for different object geometries. We show the validity of our approach by analyzing the proposed system for the problem of building object models usable in grasping applications with the PR2 robot (see Figure 1).
Lazy Sparse Stochastic Gradient Descent for Regularized Mutlinomial Logistic Regression

Stochastic gradient descent efficiently estimates maximum likelihood logistic regression coefficients from sparse input data. Regularization with respect to a prior coefficient distribution destroys the sparsity of the gradient evaluated at a single example. Sparsity is restored by lazily shrinking a coefficient along the cumulative gradient of the prior just before the coefficient is needed. 1 Multinomial Logistic Model A multinomial logistic model classifies d-dimensional real-valued input vectors x ∈ R into one of k outcomes c ∈ {0, . , k − 1} using k − 1 parameter vectors β0, . , βk−2 ∈ R: p(c | x, β) =  exp(βc · x) Zx if c < k − 1 1 Zx if c = k − 1 (1) where the linear predictor is inner product: βc · x = ∑
Influence of Mental Workload on the Performance of Anesthesiologists during Induction of General Anesthesia: A Patient Simulator Study

The aim of this study was to reveal the effect of anesthesiologist's mental workload during induction of general anesthesia. Twenty-two participants were categorized into anesthesiology residents (RA group, n = 13) and board certified anesthesiologists (CA group, n = 9). Subjects participated in three simulated scenarios (scenario A: baseline, scenario B: simple addition tasks, and scenario C: combination of simple addition tasks and treatment of unexpected arrhythmia). We used simple two-digit integer additions every 5 seconds as a secondary task. Four kinds of key actions were also evaluated in each scenario. In scenario C, the correct answer rate was significantly higher in the CA versus the RA group (RA: 0.370 ± 0.050 versus CA: 0.736 ± 0.051, p < 0.01, 95% CI −0.518 to −0.215) as was the score of key actions (RA: 2.7 ± 1.3 versus CA: 4.0 ± 0.00, p = 0.005). In a serious clinical situation, anesthesiologists might not be able to adequately perform both the primary and secondary tasks. This tendency is more apparent in young anesthesiologists.
Mutations in PINK1 and Parkin Impair Ubiquitination of Mitofusins in Human Fibroblasts

PINK1 and Parkin mutations cause recessive Parkinson's disease (PD). In Drosophila and SH-SY5Y cells, Parkin is recruited by PINK1 to damaged mitochondria, where it ubiquitinates Mitofusins and consequently promotes mitochondrial fission and mitophagy. Here, we investigated the impact of mutations in endogenous PINK1 and Parkin on the ubiquitination of mitochondrial fusion and fission factors and the mitochondrial network structure. Treating control fibroblasts with mitochondrial membrane potential (Δψ) inhibitors or H2O2 resulted in ubiquitination of Mfn1/2 but not of OPA1 or Fis1. Ubiquitination of Mitofusins through the PINK1/Parkin pathway was observed within 1 h of treatment. Upon combined inhibition of Δψ and the ubiquitin proteasome system (UPS), no ubiquitination of Mitofusins was detected. Regarding morphological changes, we observed a trend towards increased mitochondrial branching in PD patient cells upon mitochondrial stress. For the first time in PD patient-derived cells, we demonstrate that mutations in PINK1 and Parkin impair ubiquitination of Mitofusins. In the presence of UPS inhibitors, ubiquitinated Mitofusin is deubiquitinated by the UPS but not degraded, suggesting that the UPS is involved in Mitofusin degradation.
Nonlinear Control of Large Scale complex Systems using Convex Control Design tools

Based on recent advances on convex design for Large-Scale Control Systems (LSCSs) and robust and efficient LSCS self-tuning/adaptation, a methodology is proposed in this paper which aims at providing an integrated LSCS-design, applicable to large-scale systems of arbitrary scale, heterogeneity and complexity and capable of: 1) Providing stable, efficient and arbitrarily-close-to-optimal LSCS performance; 2) Being able to incorporate a variety of constraints, including limited control constraints as well as constraints that are nonlinear functions of the system controls and outputs (sensor measurements); 3) Being intrinsically self-tunable, able to rapidly and efficiently optimize LSCS performance when short-, medium- or long-time variations affect the large-scale system; 4) Achieving the above, while being scalable and modular. The purpose of the present paper is to provide the main features of the proposed control design methodology.
QoS-Oriented Asynchronous Clustering Protocol in Wireless Sensor Networks

The quality of service (QoS) to deliver time-and delay-sensitive data is critical in events-driven sensor network applications, which are constrained by energy consumption requirements. So far, most clustering proposals on this problem were based on periodic synchronous approaches, which require time synchronization and are not suitable for events-driven applications. We propose a QoS-oriented events-driven asynchronous clustering protocol, called EEAC (energy-efficient asynchronous clustering), which can deliver traffic in a timely and reliable manner. In EEAC, clustering starts asynchronously according to a probability, determined by cluster-heads' data transmission rate and residual energy. EEAC avoids time synchronization and adopts composite formula to elect cluster- heads. Simulation results show that EEAC ensures the real-time transmission of sensitive data, reduces the packet loss rate, and evenly distributes nodal energy consumption, thus prolonging network lifetime.
Hyperseeing Special Issue on Smi 2012 Shape Modeling International 2012 Fabrication and Sculpting Event & Exhibition Fabrication and Sculpting Event Chairs Exhibition Chairs Courses and Tutorials Chairs Hyperseeing Special Issue on Smi 2012 Shape Modeling International 2012 Fabrication and Sculpting

Two new sculptures, conceived and designed by Brent Collins and Carlo Séquin, are currently in their final phase of fabrication and are scheduled to be installed in May or June of 2012 in a Science Building at Missouri Western State University. Here we report on the geometrical design of these two sculptures and on the technical challenges encountered in fabricating them at the 6-foot scale.
Destruction of formic acid by soft X-rays in star-forming regions

Formic acid is much more abundant in the solid state, both in interstellar ices and cometary ices, than in the in- terstellar gas (ice/gas � 10 4 ) and this point remains a puzzle. The goal of this work is to experimentally study ionization and photodissociation processes of HCOOH (formic acid), a glycine precursor molecule. The measurements were taken at the Brazilian Synchrotron Light Laboratory (LNLS), employing soft X-ray photons from toroidal grating monochromator TGM) beamline (200 - 310 eV). Mass spectra were obtained using photoelectron photoion coincidence (PEPICO) method. Kinetic energy distributions and abundances for each ionic fragment have been obtained from the analysis of the corresponding peak shapes in the mass spectra. Photoionization and photodissociation cross sections were also determined. Due to the large pho- todissociation cross section of HCOOH it is possible that in PDRs regions, just after molecules evaporation from the grain surface, formic acid molecules are almost totally destroyed by soft X-rays, justifying the observed low abundance of HCOOH in the gaseous phase. The preferential path for the glycine f ormation from formic acid may be through the ice phase reaction.
Computing Nash Equilibrium in Wireless Ad Hoc Networks: A Simulation-Based Approach

This paper studies the problem of computing Nash equilibrium in wireless networks modeled by Weighted Timed Automata. Such formalism comes together with a logic that can be used to describe complex features such as timed energy constraints. Our contribution is a method for solving this problem using Statistical Model Checking. The method has been implemented in UPPAAL model checker and has been applied to the analysis of Aloha CSMA/CD and IEEE 802.15. 4 CSMA/CA protocols.
Dissociation of Lexical Syntax and Semantics: Evidence from Focal Cortical Degeneration

Abstract The question of whether information relevant to meaning (semantics) and structure (syntax) relies on a common language processor or on separate subsystems has proved difficult to address definitively because of the confounds involved in comparing the two types of information. At the sentence level syntactic and semantic judgments make different cognitive demands, while at the single word level, the most commonly used syntactic distinction (between nouns and verbs) is confounded with a fundamental semantic difference (between objects and actions). The present study employs a different syntactic contrast (between count nouns and mass nouns), which is crossed with a semantic difference (between naturally occurring and man-made substances) applying to words within a circumscribed semantic field (foodstuffs). We show, first, that grammaticality judgments of a patient with semantic dementia are indistinguishable from those of a group of age-matched controls, and are similar regardless of the status of his semantic knowledge about the item. In a second experiment we use the triadic task in a group of age-matched controls to show that similarity judgments are influenced not only by meaning (natural vs. manmade), but also implicitly by syntactic information (count vs. mass). Using the same task in a patient with semantic dementia we show that the semantic influences on the syntactic dimension are unlikely to account for this pattern in normals. These data are discussed in relation to modular vs. nonmodular models of language processing, and in particular to the semantic-syntactic distinction.
Detection and Shape Feature Extraction of Breast Tumor in Mammograms

An accurate and standard techniques for breast tumor segmentation plays a pivotal role in detecting and quantifying breast cancers. Segmentation of breast tumor in mammograms presents many challenges related to selection of optimal threshold in various segmentation techniques. In this paper, a mean based region growing segmentation (MRGS) is presented that automatically finds the seed pixel and optimal threshold value and thus makes the segmentation process very fast and accurate. Furthermore, experimental results are compared with the findings of expert radiologist and marker controlled watershed segmentation approach. A set of 3 mammogram images is used to demonstrate the effectiveness of the segmentation methods. Numerical validation of the results is also provided.
A Disease Inference Scheme based on Fuzzy Logic for Patient's-customized Healthcare

This paper proposes a Disease Inference Scheme based on Fuzzy Logic for Patient's-customized Healthcare. It consists of the Fuzzy-based Disease Rules Module (FDRM) and the Fuzzy-based Disease Inference Model (FDIM). The Fuzzy-based Disease Rules Module (FDRM) computes the conditional support between attributes and generates the Fuzzy Rules considering the relation between them, unlike the traditional C4.5 algorithm, by using the attributes whose conditional support is high. Therefore, because the generated Fuzzy Rules make the number of attributes decreased more than those in the traditional C4.5 algorithm, they make the accuracy of rules improved more. The Fuzzy-based Disease Inference Module (FDIM) not only can reason a patient's disease accurately by using the generated Fuzzy Rules and a patient disease information but also can prevent a patient's disease beforehand.
An investigation on important factors influencing customer repurchase: A case study of Airline agencies

Article history: Received July 5, 2011 Received in Revised form October, 12, 2011 Accepted 18 December 2011 Available online 26 December 2011 During the past few years, there has been an increase trend on purchasing via internet, which indicates a steady growth on this internet service. There are different advantages on e-purchase services such as availability of usage, fast and reliable services, etc. The purpose of this survey is to investigate on different influencing factors on customer's fidelity on purchasing air ticket from different agencies located in Tehran, Iran. The Cronbach Alpha validates our results. The proposed conceptual model of this paper is estimated using multi-variable regression model and the results indicate that direct factors influence customer satisfaction, significantly. The results indicate that while customer perception does not have any relationship with repurchase but it has direct relationship with customer's perception and trust. © 2012 Growing Science Ltd. All rights reserved.
Face Animation: A Case Study for Multimedia Modeling and Specification Languages

This chapter will discuss the multimedia modeling and specification methods, especially in the context of face animation. Personalized Face Animation is and/or can be a major User Interface component in modern multimedia systems. After reviewing the related works in this area, we present the ShowFace streaming structure. This structure is based on most widely accepted industry standards in multimedia presentation like MPEG-4 and SMIL, and extends them by providing a higher level Face Modeling Language (FML) for modeling and control purposes, and also by defining image transformations required for certain facial movements. ShowFace establishes a comprehensive framework for face animation consisting of components for parsing the input script, generating and splitting the audio and video “behaviors”, creating the required images and sounds, and eventually displaying or writing the data to files. This component-based design and scripted behavior make the framework suitable for many purposes including web-based applications.
In Vitro Analog of Operant Conditioning inAplysia. I. Contingent Reinforcement Modifies the Functional Dynamics of an Identified Neuron

Previously, an analog of operant conditioning inAplysia was developed using the rhythmic motor activity in the isolated buccal ganglia. This analog expressed a key feature of operant conditioning, namely a selective enhancement in the occurrence of a designated motor pattern by contingent reinforcement. Different motor patterns generated by the buccal central pattern generator were induced by monotonic stimulation of a peripheral nerve (i.e., n.2,3). Phasic stimulation of the esophageal nerve (E n.) was used as an analog of reinforcement. The present study investigated the neuronal mechanisms associated with the genesis of different motor patterns and their modifications by contingent reinforcement. The genesis of different motor patterns was related to changes in the functional states of the pre-motor neuron B51. During rhythmic activity, B51 dynamically switched between inactive and active states. Bursting activity in B51 was associated with, and predicted, characteristic features of a specific motor pattern (i.e., pattern I). Contingent reinforcement of pattern I modified the dynamical properties of B51 by decreasing its resting conductance and threshold for eliciting plateau potentials and thus increased the occurrences of pattern I-related activity in B51. These modifications were not observed in preparations that received either noncontingent reinforcement (i.e., yoke control) or no reinforcement (i.e., control). These results suggest that a contingent reinforcement paradigm can regulate the dynamics of neuronal activity that is centrally programmed by the intrinsic cellular properties of neurons.
Alternative Oxidase in Resistance to Biotic Stresses: Nicotiana attenuata AOX Contributes to Resistance to a Pathogen and a Piercing-Sucking Insect But Not Manduca sexta Larvae1[W][OA]

The role of the alternative respiratory pathway in the protection of plants against biotic stress was examined in transgenic tobacco (Nicotiana attenuata) plants (irAOX) silenced in the expression of ALTERNATIVE OXIDASE (AOX) gene. Wild-type and irAOX plants were independently challenged with (1) chewing herbivores (Manduca sexta), (2) piercing-sucking insects (Empoasca spp.), and (3) bacterial pathogens (Pseudomonas syringae pv tomato DC3000), showing that all these treatments can strongly elicit accumulation of AOX gene transcripts in wild-type plants. When N. attenuata chemical defenses and resistance were examined, irAOX plants showed wild-type levels of defense-related phytohormones, secondary metabolites, and resistance to M. sexta. In contrast, piercing-sucking leafhoppers (Empoasca spp.) caused more leaf damage and induced significantly higher salicylic acid levels in irAOX compared with wild-type plants in the field and/or glasshouse. Subsequently, irAOX plants accumulated lower levels of defense metabolites, 17-hydroxygeranyllinalool diterpene glycosides, caffeoylputrescine, and nicotine compared with wild-type plants under prolonged attack of Empoasca spp. in the glasshouse. Finally, an accelerated cell death phenotype was observed in irAOX plants infected with P. syringae, which correlated with higher levels of salicylic acid and hydrogen peroxide levels in pathogen-infected irAOX compared with wild-type leaves. Overall, the AOX-associated changes in phytohormone and/or redox levels appear to support the resistance of N. attenuata plants against cell piercing-sucking insects and modulate the progression of cell death in pathogen-infected tissues but are not effective against rapidly feeding specialist herbivore M. sexta.
Risk of death following pregnancy in rural Nepal.

OBJECTIVE To investigate the length of time following pregnancy during which the risk of mortality was elevated among women in rural Nepal. METHODS An analysis was performed of prospective data on women participating in the control group of a large, population-based trial. Weekly visits were made for three years to 14805 women aged 14-45 years. Pregnancy and vital status were assessed. A total of 7325 pregnancies were followed. Mortality during and following pregnancy, expressed on a person-time basis, was compared to referent mortality unrelated to pregnancy (52 weeks after pregnancy) in the same cohort. FINDINGS The relative risk (RR) of death during pregnancy but before the onset of labour was 0.93 (95% confidence interval (CI): 0.38-2.32). During the perinatal period, defined as lasting from the onset of labour until seven days after outcome, the RR of death was 37.02 (95% CI: 15.03-90.92). The RR for 2 to 6 weeks, 7 to 12 weeks, and 13 to 52 weeks after pregnancy were 4.82, 2.59 and 1.01 with 95% CI of 1.77-13.07, 0.81-8.26 and 0.40-2.53, respectively. The RR of death was 2.21 (95% CI. 1.03-4.71) during the conventional maternal mortality period (pregnancy until 6 weeks after outcome). It was 2.26 (95% CI: 1.05-4.90) when the period was extended to 12 weeks after pregnancy outcome. CONCLUSION The risk of mortality associated with pregnancy should be assessed over the first 12 weeks following outcome instead of over the first 6 weeks.
Advanced Unbounded Model Checking Based on AIGs, BDD Sweeping, And Quantifier Scheduling

In this paper we present a complete method for verifying properties expressed in the temporal logic CTL. In contrast to the majority of verification methods presented in previous years, we support unbounded model checking based on symbolic representations of characteristic functions. Among others, our method is based on an advanced and-inverter graph (AIG) implementation, quantifier scheduling, and BDD sweeping. For several examples, our method outperforms BDD based symbolic model checking by orders of magnitude. However, our approach is also able to produce competitive results for cases where BDD are known to perform well
2016 Third International Conference on Information Retrieval and Knowledge Management Prosodic Breaks on Malay Speech Corpus: Evaluation of Pitch, Intensity and Duration

—Prosodic phrasing is useful to segment lengthy spontaneous speech into smaller meaningful utterance without analysis of linguistic information. A simpler approach is presented to identify and classify the boundaries in prosodic phrasing using pitch and intensity patterns and pause duration on Malay speech sentences. We also propose a listening test that allows trained listener to classify the boundaries as minor or major breaks. This cheaper and faster approach is proven useful for under-resource language such as Malay which do not have comprehensive prosodic-annotated corpus. Word-related pitch, intensity and duration features are extracted from the targeted sentence and phrase breaks. A speech corpus is developed from targeted breaks of 100 speech sentences evaluated in the listening test. Instead of labeling the phrase break using linguistic and phonetic meaning, the proposed listening test allows labeling of phrase break as perceived by listener. In addition, the results can be used as preliminary information for evaluation of boundary saliency at the targeted boundary locations.