806 research outputs found

    The Political Economy of the Investment Treaty Regime

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    Investment treaties are some of the most controversial but least understood instruments of global economic governance. Public interest in international investment arbitration is growing and some developed and developing countries are beginning to revisit their investment treaty policies. The Political Economy of the Investment Treaty Regime synthesises and advances the growing literature on this subject by integrating legal, economic, and political perspectives. Based on an analysis of the substantive and procedural rights conferred by investment treaties, it asks four basic questions. What are the costs and benefits of investment treaties for investors, states, and other stakeholders? Why did developed and developing countries sign the treaties? Why should private arbitrators be allowed to review public regulations passed by states? And what is the relationship between the investment treaty regime and the broader regime complex that governs international investment? Through a concise, but comprehensive, analysis, this book fills in some of the many "blind spots" of academics from different disciplines, and is the first port of call for lawyers, investors, policy-makers, and stakeholders trying to make sense of these critical instruments governing investor-state relations

    Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor

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    Using supporting backchannel (BC) cues can make human-computer interaction more social. BCs provide a feedback from the listener to the speaker indicating to the speaker that he is still listened to. BCs can be expressed in different ways, depending on the modality of the interaction, for example as gestures or acoustic cues. In this work, we only considered acoustic cues. We are proposing an approach towards detecting BC opportunities based on acoustic input features like power and pitch. While other works in the field rely on the use of a hand-written rule set or specialized features, we made use of artificial neural networks. They are capable of deriving higher order features from input features themselves. In our setup, we first used a fully connected feed-forward network to establish an updated baseline in comparison to our previously proposed setup. We also extended this setup by the use of Long Short-Term Memory (LSTM) networks which have shown to outperform feed-forward based setups on various tasks. Our best system achieved an F1-Score of 0.37 using power and pitch features. Adding linguistic information using word2vec, the score increased to 0.39

    Hispidulin And Other Constituents Of Scoparia dulcis Linn

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    Phytochemical investigation of the ethanol extract of the whole plant of Scoparia dulcis, has resulted in the isolation of 4, 5, 7-trihydroxy-6-methoxyflavone, commonly called hispidulin and a steroidal glycoside, β-sitosterol-β-D-glucoside.  This is the first isolation of the two compounds from S. dulcis. Also isolated and characterized were the previously reported 6-me-thoxybenzoxazolinone, friedelan-3-one and scopadulcic acid B. Structural elucidation was done on the basis of spectroscopic data interpretations (IR, UV, NMR and EIMS).  Using the Tetrazolium-based colorimetric selective assay, hispidulin was found to be inactive against HIV-1/IIIB in MT-4 cells whereas the same test on the aqueous extract of the plant was positive

    The Karlsruhe Institute of Technology Translation Systems for the WMT 2012

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    Endoscopic Treatment of Stump Infection of the Residual Synovial Cavity After Through-the-Knee Amputation: A Case Report

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    CASE We report the case of a 35-year-old patient who presented with a septic residual synovial cavity infection 8 weeks after a through-the-knee amputation because of a parosteal sarcoma. An endoscopic evacuation of the turbid fluid and synovial debridement through parapatellar portals as in a standard knee arthroscopy was performed, in conjunction with appropriate antibiotic therapy. One year postoperatively, there were no signs of residual infection. CONCLUSION Endoscopic treatment of a septic stump infection of the residual synovial cavity after through-the-knee amputation is feasible. In our case, this approach resulted in rapid wound healing and early prosthesis mobility

    German-Arabic Speech-to-Speech Translation for Psychiatric Diagnosis

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    In this paper we present the Arabic related natural language processing components of our German–Arabic speech-to-speech translation system which is being deployed in the context of interpretation during psychiatric, diagnostic interviews. For this purpose we have built a pipelined speech-to-speech translation system consisting of automatic speech recognition, machine translation, text post-processing, and speech synthesis systems. We have implemented two pipelines, from German to Arabic and vice versa, to conduct interpreted two-way dialogues between psychiatrists and potential patients. All systems in our pipeline have been realized as all-neural end-to-end systems, using different architectures suitable for the different components. The speech recognition systems use an encoder/decoder + attention architecture, the machine translation system is based on the Transformer architecture, the post-processing for Arabic employs a sequence-tagger for diacritization, and for the speech synthesis systems we use Tacotron 2 for generating spectrograms and WaveGlow as a vocoder. The speech translation is deployed in a server-based speech translation application that implements a turn-based translation between a German-speaking psychiatrist administrating the Mini-International Neuropsychiatric Interview (M.I.N.I.) and an Arabic speaking person answering the interview. As this is a very specific domain, in addition to the linguistic challenges posed by translating between Arabic and German, we also focus in this paper on the methods we implemented for adapting our speech to speech translation system to the domain of this psychiatric interview

    A more sustainable and highly practicable synthesis of aliphatic isocyanides

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    Synthesis protocols to convert N-formamides into isocyanides using three different dehydration reagents (i.e. p-toluenesulfonyl chloride (p-TsCl), phosphoryl trichloride (POCl3) and the combination of triphenylphosphane (PPh3) and iodine) were investigated and optimized, while considering the principles of green chemistry. Comparison of the yield and the E-factors of the different synthesis procedures revealed that, in contrast to the typically applied POCl3 or phosgene derivatives, p-TsCl was the reagent of choice for non sterically demanding aliphatic mono- or di-N-formamides (yields up to 98% and lowest E-factor 6.45). Apart from a significantly reduced E-factor, p-TsCl is cheap, offers a simplified reaction protocol and work-up, and is less toxic compared to other dehydration reagents. Thus, this procedure offers easier and greener access to aliphatic isocyanide functionalities

    A brief description of geological and geophysical exploration of the Marysville geothermal area

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    Extensive geological and geophysical surveys were carried out at the Marysville geothermal area during 1973 and 1974. The area has high heat flow (up to microcalories per square centimeter-second, a negative gravity anomaly, high electrical resistivity, low seismic ground noise, and nearby microseismic activity. Significant magnetic and infrared anomalies are not associated with the geothermal area. The geothermal anomaly occupies the axial portion of a dome in Precambrian sedimentary rocks intruded by Cretaceous and Cenozoic granitic rocks. The results from a 2.4-km-deep test well indicate that the cause of the geothermal anomaly is hydrothermal convection in a Cenozoic intrusive. A maximum temperature of 95 C was measured at a depth of 500 m in the test well

    Assessing the impact of interfering organic matter on soil metaproteomic workflow

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    Funding: Matthias Waibel was funded by the University of Galway College of Science and the Irish Research Council under GOIPG/2016/1215. The James Hutton Institute receives funding support from the Rural and Environment Science and Analytical Services Division of the Scottish Government. Open access funding provided by IReL.Soil organic matter (SOM) is biologically, chemically, and physically complex. As a major store of nutrients within soil, it plays an important role in nutrient provision to plants. An enhanced understanding of SOM utilisation processes could underpin better fertiliser management for plant growth, with reduced environmental losses. Metaproteomics can allow the characterisation of protein profiles and could help gaining insights into SOM microbial decomposition mechanisms. Here, we applied three different extraction methods to two soil types to recover SOM with different characteristics. Specifically, water extractable organic matter, mineral associated organic matter and protein-bound organic matter were targeted with the aim to investigate the metaproteome enriched in those extractions. As a proof-of-concept replicated extracts from one soil were further analysed for peptide identification using liquid chromatography followed by tandem mass spectrometry. We employ a framework for mining mass spectra for both peptide assignment and fragmentation pattern characterisation. Different extracts were found to exhibit contrasting total protein and humic substance content for the two soils investigated. Overall, water extracts displayed the lowest humic substance content (in both soils) and the highest number of peptide identifications (in the soil investigated) with most frequent peptide hits associated with diverse substrate/ligand binding proteins of Proteobacteria and derived taxa. Our framework also highlighted a strong peptidic signal in unassigned and unmatched spectra, information that is currently not captured by the pipelines employed in this study. Taken together, this work points to specific areas for optimisation in chromatography and mass spectrometry to adequately characterise SOM associated metaproteomes.Publisher PDFPeer reviewe
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