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Two hypotheses have been proposed in order to account for velar softening, i.e., a process through which /k/ changes to an affricate. Whereas one hypothesis states that for the process to apply the velar stop has to be realized as an (alveolo) palatal stop (articulation-based hypothesis), the other claims that velar softening is triggered by acoustic similarity between the input and output segments (acoustic equivalence hypothesis). The present paper investigates the acoustic equivalence hypothesis by comparing several acoustic properties of /k/ in various vowel contexts with those of /ts , ts , tc / for three languages differing in stop burst aspiration, i.e., German, Polish and Catalan. Results suggest that the acoustic equivalence hypothesis could account for velar softening in aspirated velar stops but not in unaspirated velar stops. The results also provide an explanation as to why aspirated velar stops are prone to undergo softening more easily when followed by front vocalic segments than in other contexts and positions
On the basis of perceptual experiments we show that alveolo-palatal fricatives and palatalized post-alveolars are two separate sounds which are distinguished not only by Polish native speakers but also by German ones. This claim is partly attested by centre of gravity measurements of the two sibilants. In this paper we revise the claim made by Halle & Stevens [1] and Maddieson & Ladefoged [2] that the Polish alveolo-palatal fricatives [˛, ¸] are palatalized postalveolars [SJ, ZJ]. On the basis of perceptual experiments we show that alveolo-palatal fricatives and palatalized post-alveolars are two separate sounds which are distinguished not only by Polish native speakers but also by German ones. This claim is partly attested by centre of gravity measurements of the two sibilants.
This paper expands on the concept of legal machine which was presented first at IRIS 2011 in Salzburg. The research subjects are (1) the creation of institutional facts by machines, and (2)
multimodal communication of legal content to humans. Simple examples are traffic lights and vending machines. Complicated examples are computer-based information systems in organisations, form proceedings workflows, and machines which replace officials in organisations. The actions performed by machines have legal importance and draw legal consequences. Machines similarly as humans can be imposed status-functions of legal actors. The analogy of machines with humans is in the focus of this paper. Legal content can be communicated by machines and can be perceived by all of our senses. The content can be expressed in multimodal languages: textual, visual, acoustic, gestures, aircraft manoeuvres, etc. The concept of encapsulatation of human into machine is proposed. Herein humanintended actions are communicated through the machine’s output channel. Encapsulations can be compared with deities and mythical creatures that can send gods’ messages to people through the human mouth. This paper also aims to identify law production patterns by machines.
The Free Linguistic Environment (FLE) project focuses on the development of an open and free library of natural language processing functions and a grammar engineering platform for Lexical Functional Grammar (LFG) and related grammar frameworks. In its present state the code-base of FLE contains basic essential elements for LFG-parsing. It uses finite-state-based morphological analyzers and syntactic unification parsers to generate parse-trees and related functional representations for input sentences based on a grammar. It can process a variety of grammar formalisms, which can be used independently or serve as backbones for the LFG parser. Among the supported formalisms are Context-free Grammars (CFG), Probabilistic Contextfree Grammars (PCFG), and all formal grammar components of the XLEgrammar formalism. The current implementation of the LFG-parser includes the possibility to use a PCFG backbone to model probabilistic c-structures. It also includes f-structure representations that allow for the specification or calculation of probabilities for complete f-structure representations, as well as for sub-paths in f-structure trees. Given these design features, FLE enables various forms of probabilistic modeling of c-structures and f-structures for input or output sentences that go beyond the capabilities of other technologies based on the LFG framework.
Preposed negation in Danish
(2009)
In Danish the base position of the negation and negated quantifier phrases is between the subject and the finite verb in embedded clauses. However, in embedded clauses introduced by a non-veridical complementizer such as hvis ('if') or om ('whether') the negation and negated quantifier phrases can also appear between the complementizer and the subject. This phenomenon is referred to as preposed negation. The paper investigates the structure and semantics of this construction. It is argued that preposed negation is no adjunction structure, but a special construction where the negation element is a sister of the complementizer and the filler of a filler-gap-structure. It is further argued that preposed negation is associated with negated verum-focus of a clause lacking an (aboutness-) topic. The negation of a verum predicate explains why preposed negation fails to license strong negative polarity items and to rule out positive ones. The lack of a topic explains why preposed negation is preferred with non-referential subjects and with weak readings of indefinite subjects and why preposed negation is incompatible with topic-binding particles.The final section presents an HPSG-analysis of preposed negation using Minimal Recursion Semantics (MRS).
Beam test of the direct plasma injection scheme (DPIS) is carried out successfully for the first time in China, by setting up a comprehensive test and research platform of RFQ and laser ion source. The C6+ beam is accelerated successfully, and the peak beam current reaches more than 6mA which is measured by a Faraday cup of unique structure. The RF power coupled into the RFQ cavity is also examined, and results reveal that it is the RF power of about 195kW that can produce the peak beam current.
In this proceeding we review our recent work using supervised learning with a deep convolutional neural network (CNN) to identify the QCD equation of state (EoS) employed in hydrodynamic modeling of heavy-ion collisions given only final-state particle spectra ρ(pT, Ф). We showed that there is a traceable encoder of the dynamical information from phase structure (EoS) that survives the evolution and exists in the final snapshot, which enables the trained CNN to act as an effective “EoS-meter” in detecting the nature of the QCD transition.
Poster presentation: 28th Annual Scientific Meeting of the Society for Immunotherapy of Cancer (SITC)
Significant progress has been made over the last decade towards realizing the potential of natural killer (NK) cells for cancer immunotherapy. NK cells can respond rapidly to transformed and stressed cells, and have the intrinsic potential to extravasate and reach their targets in almost all body tissues. In addition to donor-derived primary NK cells, also continuously expanding cytotoxic cell lines such as NK-92 are being considered for adoptive cancer immunotherapy. High cytotoxicity of NK-92 has previously been shown against malignant cells of hematologic origin in preclinical studies, and general safety of infusion of NK-92 cells has been established in phase I clinical trials. To enhance their therapeutic utility, we genetically modified NK-92 cells to express chimeric antigen receptors (CAR) specific for tumor-associated surface antigens. Such CAR were composed of a tumor-specific scFv antibody fragment fused via hinge and transmembrane domains to intracellular signaling moieties such as CD3 zeta chain, or composite fusion molecules also containing a costimulatory protein domain in addition to CD3 zeta. For development towards clinical applications, here a codon-optimized second generation CAR was constructed that consists of an ErbB2-specific scFv antibody domain fused via a linker to a composite CD28-CD3 zeta signaling domain. GMP-compliant protocols for vector production, lentiviral transduction and expansion of a genetically modified NK-92 single cell clone (NK-92/5.28.z) were established. Functional analysis of NK-92/5.28.z cells revealed high and stable CAR expression, selective cytotoxicity against ErbB2-expressing but otherwise NK-resistant tumor cells of different origins in vitro, as well as homing to ErbB2-expressing tumors in vivo. Furthermore, antigen specificity and selective cytotoxicity of these cells were retained in vivo, resulting in antitumoral activity against subcutaneous and intracranial glioblastoma xenografts in NSG mice. Ongoing work now focuses on the development of these cells for adoptive immunotherapy of ErbB2-positive glioblastoma.
As the successor of the EUROTRANS project, the MAX project is aiming to continue the R&D effects for a European Accelerator-Driven System and to bring the conceptual design to reality. The layout of the driver linac for MAX will follow the reference design made for the XT-ADS phase of the EUROTRANS project. For the injector part, new design strategies and approaches, e.g. half resonant frequency, half transition-energy between the RFQ and the CH-DTL, and using the 4-rod RFQ structure instead of the originally proposed 4-vane RFQ, have been conceived and studied to reach a more reliable CW operation at reduced costs. In this paper, the design and simulation results of the MAX injector are presented.
Our study is concerned with the identification of ‘difficult’ structure s in the acquisition of a foreign language, which will shed light on theoretical considerations of L2 processing. We argue that – compared to simple vocabulary items or abstract syntactic patterns – structures that contain lexical material as well as categorial variables are especially difficult to acquire. The difficulty level for particular patterns is shown to depend on surface invariability but not on the syntactic categories within which target patterns are embedded. As an example we study the distribution of certain structures which are underused by L2 German learners.