Miracle-dz/UniFAR-FTUs huggingface dataset:
Thomas Fuchs Pathologies of Intersubjectivity in Autism and Schizophrenia

Most mental disorders include more or less profound disturbances of intersubjectivity, that means, a restricted capacity to respond to the social environment in a flexible way and to reach a shared understanding through adequate interaction with others. Current concepts of intersubjectivity are mainly based on a mentalistic approach, assuming that the hidden mental states of others may only be inferred from their external bodily behaviour through ‘mentalizing’ or ‘mindreading’. On this basis, disorders of intersubjectivity for example in autism or schizophrenia are attributed to a dysfunction of Theory of Mind modules. From a phenomenological point of view, however, intersubjectivity is primarily based on a pre-reflective embodied relationship of self and other in an emergent bipersonal field. Instead of a theory deficit, autistic and schizophrenic patients rather suffer from a basic disturbance of being-with-others which they try to compensate by explicit inferences and hypothetical assumptions about others. The paper consequently distinguishes three levels of intersubjectivity: (a) primary intersubjectivity or intercorporeality, (b) secondary intersubjectivity or perspective-taking, and (c) tertiary intersubjectivity, implying a self–other metaperspective. On this basis, disturbances on these different levels in autism and schizophrenia are described. Journal of Consciousness Studies, 22, No. 1–2, 2015, pp. 191–214 Correspondence: Prof. Thomas Fuchs, MD, PhD, Karl Jaspers Professor of Philosophy and Psychiatry, Psychiatric Department, University of Heidelberg, Voss-Str.4, D-69115 Heidelberg, Germany. Email: thomas.fuchs@med.uni-heidelberg.de C op yr ig ht ( c) Im pr in t A ca de m ic 2 01 3 F or p er so na l u se o nl y -n ot fo r re pr od uc tio n
AMBER/VLTI observations of the B[e] star MWC 300

Aims. We study the enigmatic B[e] star MWC 300 to investigate its disk and binary with milli-arcsecond-scale angular resolution. Methods. We observed MWC 300 with the VLTI/AMBER instrument in the H and K bands and compared these observations with temperature-gradient models to derive model parameters. Results. The measured low visibility values, wavelength dependence of the visibilities, and wavelength dependence of the closure phase directly suggest that MWC 300 consists of a resolved disk and a close binary. We present a model consisting of a binary and a temperature-gradient disk that is able to reproduce the visibilities, closure phases, and spectral energy distribution. This model allows us to constrain the projected binary separation (∼4.4 mas or ∼7.9 AU), the flux ratio of the binary components (∼2.2), the disk temperature power-law index, and other parameters.
Hybrid Method Simulation of Slender Marine Structures

This present thesis consists of an extended summary and five appended papers concerning various aspects of the implementation of a hybrid method which combines classical simulation methods and artificial neural networks. The thesis covers three main topics. Common for all these topics is that they deal with time domain simulation of slender marine structures such as mooring lines and flexible risers used in deep sea offshore installations. The first part of the thesis describes how neural networks can be designed and trained to cover a large number of different sea states. Neural networks can only recognize patterns similar to those comprised in the data used to train the network. Fatigue life evaluation of marine structures often considers simulations of more than a hundred different sea states. Hence, in order for this method to be useful, the training data must be arranged so that a single neural network can cover all relevant sea states. The applicability and performance of the present hybrid method is demonstrated on a numerical model of a mooring line attached to a floating offshore platform. The second part of the thesis demonstrates how sequential neural networks can be used to simulate dynamic response of specific critical hot spots on a flexible riser. In the design of mooring lines only top tension forces are considered. These forces can easily be determined by a single neural network. Riser design, depending on the applied configuration, requires detailed analysis of several critical hot spots along the structure. This means that the relation between external loading and corresponding structural response not necessarily is as direct as for the mooring line example. Hence, one neural network is not sufficient to cover the entire structure. It is demonstrated how a series of neural networks can be set up to sequentially simulate the dynamic response at critical locations along a complex riser structure. The final part of the thesis deals with the optimization of neural networks. It is shown how trained networks can be dramatically reduced in size while still maintaining a high simulation accuracy. Beside providing a more compact neural network the optimization procedures can be used to rank the importance of external effects on structures. Such sensitivity studies usually require numerous simulations. But by using this method these studies can be based on just one short simulation sequence which reduces the computational cost significantly. The great advantage with the hybrid method is that it gives rise to significant reductions in computation time associated with nonlinear dynamic time domain simulations. However, since the neural network depends on pre-generated training data, one must always consider the balance between saved computation time and time spend on establishing the hybrid method.
2 0 1 1 J I N S T 6 P 0 2 0 0 2

A. Lyapin, a,d H.J. Schreiber, b M. Viti, b C. Adolphsen, c R. Arnold, c S. Boogert, d G. Boorman, d M. V. Chistiakova, e F. Gournaris, a V. Duginov, f C. Hast,c M. D. Hildreth, g C. Hlaing, e F. Jackson, h O. Khainovsky, e Yu.G. Kolomensky, e S. Kostromin, f K. Kumar, c,i B. Maiheu, a D. McCormick, c D. J. Miller, a N. Morozov, f T. Orimoto, e, j E. Petigura, e M. Sadre-Bazzaz, e M. Slater, k Z. Szalata,c M. Thomson, k D. Ward,k M. Wendt, l M. Wing a and M. Woods c aUniversity College London, London, U.K. bDeutsches Electronen Synchrotron DESY, Hamburg and Zeuthen, Germany cSLAC National Accelerator Laboratory, Menlo Park, California, U.S.A. dRoyal Holloway, University of London, Egham, U.K. eUniversity of California and Lawrence Berkeley National La boratory, Berkeley, California, U.S.A. f Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia gUniversity of Notre Dame, Notre Dame, Indiana, U.S.A. hDaresbury Laboratory, Daresbury, U.K. iUniversity of Massachusetts, Amherst, Massachusetts, U.S.A. jCalifornia Institute of Technology, Pasadena, California, U.S.A. kUniversity of Cambridge, Cambridge, U.K. l Fermi National Accelerator Laboratory, Batavia, Illinois, U.S.A.
RANSLITERATION USING SVM

Language transliteration is one of the important areas in NLP. Transliteration is very useful for converting the named entities (NEs) written in one script to another script in NLP applications like Cross Lingual Information Retrieval (CLIR), Multilingual Voice Chat Applications and Real Time Machine Translation (MT). The most important requirement of Transliteration system is to preserve the phonetic properties of source language after the transliteration in target language. In this paper, we have proposed the named entity transliteration for Hindi to English and Marathi to English language pairs using Support Vector Machine (SVM). In the proposed approach, the source named entity is segmented into transliteration units; hence transliteration problem can be viewed as sequence labeling problem. The classification of phonetic units is done by using the polynomial kernel function of Support Vector Machine (SVM). Proposed approach uses phonetic of the source language and n-gram as two features for transliteration.
BOUNDARY ELEMENT METHOD APPLIED TO SOFT TISSUES

This paper presents an application of the Boundary Element Method (BEM) as a tool for elastographic studies. In this area, one of the most used methods is the Finite Element Method (FEM), which needs a mesh over the whole domain of the image being analyzed. In the proposed study, the BEM needs only the contour of each structure present in the image, resulting into a more efficient pre-processing, smaller and better conditioned matrices and faster inverse problem analysis when compared to FEM. The proposed methodology is applied to mathematical phantoms and the results obtained are compared with FEM.
Preservation of Azotobacter chroococcum vegetative cells in dry polymers

We studied the preservation of Azotobacter chroococcum C26 using three dry polymers: carrageenin, sodium alginate, and HPMC, using a method of accelerated degradation. Bacterial viability, as response variable, was measured at three temperatures in four different times, which was followed by calculation of bacterial degradation rates. Results showed that temperature, time of storage, and protective agent influenced both viability and degradation rates (P<0.05). We observed, using the Arrhenius thermodynamic model, that the use of polymers increased the activation energy of bacterial degradation compared to control. We obtained thermodynamic models for each polymer, based on the Arrhenius equation, which predicted the required time for thermal degradation of the cells at different temperatures. Analysis of the models showed that carrageenin was the best polymer to preserve A. chroococcum C26 since ~ 900 days are required at 4 oC to reduce its viability in two log units. We conclude, therefore, that long-term preservation of A. chroococcum C26 using dry polymers is suitable under adequate preservation and storage conditions.
Tomographic reconstruction of quantum states in N spatial dimensions (8 pages)

Most quantum tomographic methods for massive particles using destructive measurement can only be used for motion in one dimension. We show how to infer the quantum state of a nonrelativistic, $N$-dimensional harmonic oscillator system by simple inverse Radon transforms. We assume a time-independent Hamiltonian for which the dynamics along each coordinate always occurs simultaneously with the others and measurements on all coordinates are performed simultaneously. This is unlike light systems where different modes can be delayed and phase shifted with respect to each other. A requirement of the procedure is that the angular frequencies of the $N$ harmonic potentials be incommensurable. We discuss the information available if the requirement of incommensurability is not fulfilled and also under what conditions the state can be reconstructed from finite-time measurements. As further examples, we consider free particles in $N$ dimensions with periodic boundary conditions and particles in an $N$-dimensional box, where we find a similar condition of incommensurability and finite recurrence time.
Origin and pathways of Winter Intermediate Water in the Northwestern Mediterranean Sea using observations and numerical simulation

Received 25 June 2013; revised 31 October 2013; accepted 6 November 2013; published 6 December 2013. [1] The study of water masses worldwide (their formation, spreading, mixing, and impact on general circulation) is essential for a better understanding of the ocean circulation and variability. In this paper, the formation and main pathways of Winter Intermediate Water (WIW) in the Northwestern Mediterranean Sea (NWMED) are investigated during the winter-spring 2011 using observations and numerical simulation. The main results show that the WIW, formed along the continental shelves of the Gulf of Lion and Balearic Sea, circulates southward following five preferential pathways depending on the WIW formation site location and the oceanic conditions. WIW joins the northeastern part of the Balearic Sea, or flows along the continental shelves until joining the Balearic Current (maximum of 0.33 Sv in early-April) or further south until the Ibiza Channel entrance. Two additional trajectories, contributing to water mass exchanges with the southern part of the Western Mediterranean Sea, bring the WIW through the Ibiza and Mallorca Channels (maxima of 0.26 Sv in late-March and 0.1 Sv in early-April, respectively). The circulation of WIW over the NWMED at 50–200 m depth, its mixing and spreading over the Western Mediterranean Sea (reaching the south of the Balearic Islands, the Algero-Provencal basin, the Ligurian and the Alboran Seas) suggest that the WIW may have an impact on the ocean circulation by eddy blocking effect, exchange of water masses between north and south subbasins of Western Mediterranean Sea through the Ibiza Channel or modification of the ocean stratification.
A note on some variations of the $\gamma$-graph

For a graph $G$, the $\gamma$-graph of $G$, $G(\gamma)$, is the graph whose vertices correspond to the minimum dominating sets of $G$, and where two vertices of $G(\gamma)$ are adjacent if and only if their corresponding dominating sets in $G$ differ by exactly two adjacent vertices. In this paper, we present several variations of the $\gamma$-graph including those using identifying codes, locating-domination, total-domination, paired-domination, and the upper-domination number. For each, we show that for any graph $H$, there exist infinitely many graphs whose $\gamma$-graph variant is isomorphic to $H$.
Economia de Energia usando Computação Voluntária Virtualizada

Traditionally, workloads submitted to grid computing environments are bag-of-tasks that can be processed in a distributed way, and using idle hosts connected to a grid environment. Thus, in idle moments, these hosts are connected and the tasks are executed. This is a model designed to not interfere with the rate of use of such hosts. But even running, these hosts often do not utilize all its processing power. This paper proposes an approach that uses underutilized hosts through virtualization, adjusting the use of grid applications to the leftover resources from daily usage of hosts. This approach can reduce the runtime of the applications while saving energy. Resumo. Tradicionalmente, as cargas de trabalho submetidas aos ambientes de computação em grade são do tipo saco-de-tarefas, que podem ser processadas de forma distribuída devido a falta de dependência entre os dados. Esse modelo utiliza hosts ociosos conectados a um ambiente de grade, portanto em momentos em que esses hosts não estão em uso, as tarefas podem ser executadas. Porém, com o poder computacional atual, mesmo em uso, os computadores atuais não utilizam todo o seu poder de processamento. Esse artigo propõe a adoção de virtualização visando utilizar fatias ociosas dentro de um novo em execução, disponibilizando essa fatia ao processamento de aplicações de grade. Essa arquitetura pode reduzir o tempo de execução das aplicações de grade, ao mesmo tempo que permite economia de energia.
PEPS++: Towards Extreme-Scale Simulations of Strongly Correlated Quantum Many-Particle Models on Sunway TaihuLight

The study of strongly frustrated magnetic systems has drawn great attentions from both theoretical and experimental physics. Efficient simulations of these models are essential for understanding their exotic properties. Here we present PEPS++, a novel computational paradigm for simulating frustrated magnetic systems and other strongly correlated quantum many-body systems. PEPS++ can accurately solve these models at the extreme scale with low cost and high scalability on modern heterogeneous supercomputers. We implement PEPS++ on Sunway TaihuLight based on a carefully designed tensor computation library for manipulating high-rank tensors and optimize it by invoking various high-performance matrix and tensor operations. By solving a 2D strongly frustrated <inline-formula> <tex-math notation="LaTeX">$J_1$</tex-math><alternatives><inline-graphic xlink:href="yang-ieq1-2848618.gif"/> </alternatives></inline-formula>-<inline-formula><tex-math notation="LaTeX">$J_2$</tex-math><alternatives> <inline-graphic xlink:href="yang-ieq2-2848618.gif"/></alternatives></inline-formula> model with over ten million cores, PEPS++ demonstrates the capability of simulating strongly correlated quantum many-body problems at unprecedented scales with accuracy and time-to-solution far beyond the previous state of the art.
Microtask Programming

Traditional forms of Crowdsourcing such as open source software development harness crowd contributions to democratize the creation of software. However, potential contributors must first overcome joining barriers forcing casually committed contributors to spend days or weeks onboarding and thereby reducing participation. To more effectively harness potential contributions from the crowd, we propose a method for programming in which work occurs entirely through microtasks, offering contributors short, self-contained tasks such as implementing part of a function or updating a call site invoking a function to match a change made to the function. In microtask programming, microtasks involve changes to a single artifact, are automatically generated as necessary by the system, and nurture quality through iteration. A study examining the feasibility of microtask programming to create small programs found that developers were able to complete 1008 microtasks, onboard and submit their first microtask in less than 15 minutes, complete all types of microtasks in less than 5 minutes on average, and create 490 lines of code and 149 unit tests. The results demonstrate the potential feasibility as well as revealing a number of important challenges to address to successfully scale microtask programming to larger and more complex programs.
Botnet Literature Review

Botnets have continuously evolved since they were first created. This evolution is now being fueled by a talent influx generated by the incentive of the monetary gains facilitated by botnet operations. This talent base has allowed new botnet generations to continuously side-step mitigation techniques. This is also due to the fact that computer security has generally reacted to new malware as it is discovered in the wild. This paradigm has proven to be much too slow for botnet mitigation as the botnet is often well entrenched before any real defense has been implemented. At this point the botnet has already been able to inflict considerable damage. As a result botnet research is shifting to a forward-looking or proactive approach. Botnets have started a trend towards smaller network sizes with less bots or sites. This allows a botnet to have a better chance of flying under the radar. This means that each botnet might have a separate or specialized infrastructure, or at least some way to keep them separate. This presents the botmaster or organization that is running multiple such networks with a cumbersome management and maintenance issue. Another method for achieving smaller or segmented attacks would be to keep the botnet intact and to use another strategy to segment it at will for a given attack or action. This implies that the typical “publish-subscribe” system employed by most P2P networks would need to be reworked or replaced. A possible replacement would be a Voronoi P2P overlay, it has the potential to segment a P2P at will based on a virtual geography. This overlay is already being vetted for use in massively multi-player on-line games (MMOGs) as a possible means for managing network vitrual environments (NVEs) that were previously managed by a centralized server. The same characteristics that make a Voronoi desirable for this application might also make it a viable botnet command and control (C&C) infrastructure. ∗Open to suggestion for a better title. †No author note at this point.
Levenslooptrajecten en het pensioeninkomen van gescheiden gepensioneerde vrouwen

This article investigates the impact of socio-demographic life course variables on pension incomes of divorced women who received a pension for the first time in 2005. It uses administrative population-level data from the Belgian Pension and National Register, which have been linked in the Datawarehouse Labour Market and Social Protection. Our regression analyses show that women who were married for a longer time receive lower first pillar pensions and have access to second pillar pensions less often. Among divorced women with children, both having more than two children and caring for young children outside the marriage lead to lower first pillar pensions and to lower chances of a second pillar pension. Even though the explanatory power of these socio-demographic variables remains limited as compared to other variables such as the scheme in which pension rights have been built, it does contribute to a better understanding of the variation of pension income within schemes and within this cohort of divorced women.
Applications of N-tuple sampling and genetic algorithms to speech recognition

N-tuple nets are con ceptually a highly parallel architecture for pattern recogn ition, implemented in hardware as a device called WISARD. However, high-speed serial emulations of N -tuple nets afTer considerable advantages of flexibility and cost efficiency in applications, such as speech recognition, requiring only moderate bandwidth. In this chapter we first describe a software technique for designing dynamically evolved N-tuple nets and illustrate the process whereby the designed structure can be progressively mapped into hardware to a level determined by the application requirements. Next, we summarize some simulation studies which apply N-tuple nets to isolated word recognition and vowel detection. For isolated word recognition it is shown that wit h raw data (non-pre­ emphasized, noisy speech), N-tuple recognition yields im provement over dynamic time warping, while providing substantial savings in processing time. For vowel detection, two distinct, single-speaker studies are described.
Repression of Salmonella phoP expression by small molecules from physiological bile 1 2

Repression of Salmonella phoP expression by small molecules from physiological bile 1 2 L. Caetano M. Antunes, Melody Wang, Sarah K. Andersen, Rosana B. R. Ferreira, Reinhild 3 Kappelhoff, Jun Han, Christoph H. Borchers and B. Brett Finlay 4 5 Michael Smith Laboratories, Department of Microbiology and Immunology, Department of 6 Biochemistry and Molecular Biology, and Department of Oral Biological & Medical Sciences, 7 The University of British Columbia, Vancouver, British Columbia, Canada. University of Victoria 8
Einfluss der Zuwanderung auf die demografische Entwicklung in Deutschland

Aktualisierte Informationen uber die zukunftige Entwicklung der Bevolkerung sind fur viele okonomische Fragestellungen relevant. Die stochastische Bevolkerungsprognose des Instituts der deutschen Wirtschaft Koln berucksichtigt deshalb die Rekordzuwanderung des Jahres 2015 und die sich abzeichnende hohe Nettomigration in den Folgejahren. Bis 2035 nimmt die Bevolkerung auf dieser Grundlage um 1,2 Millionen auf 83,1 Millionen Personen zu. Die Schatzung unterstellt dabei fur das Jahr 2016 einen Wanderungssaldo von 850.000 Personen. Langfristig geht die Nettomigration auf 218.000 Personen zuruck. Der Bevolkerungsanstieg verhindert allerdings nicht die Alterung der Gesellschaft. Die demografischen Herausforderungen, beispielsweise am Arbeitsmarkt und in den sozialen Sicherungssystemen, bleiben somit hochrelevant.