SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Characterize corpus callosum-mediated local and global inhibitory effects with novel mri-compatible photonic crystal fiber-based multifunction probe and wireless amplified nmr detector in rat brain

The structural anomalies of corpus callosum (CC) in patients are found highly-correlated with a wide range of disorders, e.g., epilepsy, autism, schizophrenia and mental retardation. However, it remains unclear about the causal contributions of CC-mediated functional changes to these disorders and exactly how the changes influence the local cortical circuitry. Lately, we have successfully combined fMRI with fiber optic mediated calcium recordings and optogenetics, i.e., multi-modal fMRI, to study the balance of excitation/inhibition in the barrel cortex in rats by pairing optogenetic corpus callosum activation with ascending thalamocortical activation. However, it remains challenging to maintain high sensitivity to the brain dynamic signal and better decipher CC-mediated unique cellular (neuron/astrocyte) or layer-specific contributions to the local cortical or global whole-brain fMRI signals. Therefore, the goal of this proposal is to optimize the multi-modal fMRI platform and to characterize the brain activity upon optogenetic callosal activation with higher spatial/temporal resolution using two cutting edge technologies, wireless amplified nuclear MR detector (WAND) and photonic crystal fiber (PCF). Previously, we have implanted a wireless RF coil into the rat body to achieve a high signal-to-noise ratio and spatial resolution for in vivo kidney imaging. The modified WAND will be incorporated into the multi-modal fMRI platform to achieve brain dynamic signal with enhanced sensitivity from the barrel cortex. Next, we will merge it with a novel PCF-based probe integrated calcium recording, optogenetic manipulation and fluid injection function. This proposal will merge the neuronal and astrocytic dynamic signals to the functional mapping, solve the challenges for CC study at multiple scales in the brain, enable novel applications of the multi-modal fMRI platform to better decipher the neuroglial interactions in normal and diseased animal models for future studies.
INTERNAL COMBUSTION ENGINE HAVING A CYLINDER HEAD WHICH IS CONFIGURED JOINTLY FOR A PLURALITY OF CYLINDERS

The invention relates to an internal combustion engine (1) having a cylinder head (2) which is configured jointly for a plurality of cylinders (Z) and a liner unit (3) for a plurality of cylinders (Z) which is fastened to the cylinder head (2), wherein a cooling jacket arrangement having at least one cooling jacket (6, 7) is formed into the liner unit (3), which cooling jacket arrangement preferably surrounds the cylinders (Z). In order to avoid deformations of the liner unit (3), it is provided that the liner unit (3) has a clearance with respect to a surrounding cylinder housing (9).
Magnesium A-zeolite for nitrogen adsorption

The present invention is directed to a process for separating nitrogen from gas mixtures containing nitrogen and less strongly adsorbed components such as oxygen, hydrogen, argon or helium at ambient temperatures or above by use of a magnesium exchanged, sodium A-zeolite in a preferred level of magnesium exchange and an appropriate pressure range for adsorption and desorption of bulk gases which provides improved recovery and reduced bed size factor.
METHOD AND DEVICE FOR USE IN MICTURITION STUDIES

The invention concerns a method for the sensing of the electromyographic activity of an individual's bladder detrusor muscle, wherein - an elongated electrode (10) is inserted through the individual's urethra, so that the proximal end (11) of the electrode becomes positioned in the bladder, and- the bladder is charged with a fluid having electrical conductivity, and - the electrical potential of the detrusor muscle, mediated by the fluid, is sensed by the electrode (10).The invention also concerns a device for use in said method.
Effects of ridge geometry on mantle dynamics in an oceanic triple junction region: Implications for the Azores Plateau

Abstract Plate boundary geometry can affect the nature of magmatism along a mid-ocean ridge. The Azores Plateau is located in a complex geological setting that includes a triple junction (TJ), an oblique and recently-formed ultra-slow-spreading ridge, a zone of diffuse seafloor deformation, a major fracture zone, and a postulated hotspot. The precise character of the hotspot is somewhat debated, as some lines of evidence indicate it may not be a classic deep-seated plume. However, seismic and gravity data suggest plateau crustal thicknesses of ∼ 8 km or more, implying some mechanism for excess melting. To assess the role of ridge geometry in creating the Azores Plateau, this study uses a finite element numerical model to isolate the effects of selected aspects of plate boundary configuration on mantle flow and melt production in a TJ kinematically similar to the Azores TJ. The model focuses on the slowest-spreading ridge in the TJ, analogous to the Terceira Rift. The effect of the varying ridge obliquity observed along the Terceira Rift is also assessed using an independent 1-D melting model. In general, relatively little melt production is predicted along the Terceira Rift analogue, except for regions closest to the TJ where the proximity of a faster-spreading ridge increases temperatures within the melting zone. In the 1-D melting model with mantle temperatures of 1350 °C, melt thicknesses of ∼ 2 km are calculated for the least oblique segments, while more oblique segments produce little to no melt. The presence of a long discontinuity (simulating the Gloria FZ) has little effect on mantle dynamics for axial distances
1998 Calibration of the Mach 4.7 and Mach 6 ARC-Heated Scramjet Test Facility Nozzles

A calibration of the Arc-Heated Scramjet Test Facility (AHSTF) Mach 4.7 and Mach 6 nozzles was performed in 1998. For each nozzle, three different typical facility operating test points were selected for calibration. Each survey consisted of measurements, at 340 separate locations across the 11 inch square nozzle exit plane, of pitot pressure, static pressure, and total temperature. Measurement density was higher (4/inch) in the boundary layer near the nozzle wall than in the core nozzle flow (1/inch). The results generated for each of these calibration surveys were contour plots at the nozzle exit plane of the measured and calculated flow properties which completely defined the thermodynamic state of the nozzle exit flow. An area integration of the mass flux at the nozzle exit for each survey was compared to the AHSTF mass flow meter results to provide an indication of the overall quality of the calibration performed. The percent difference between the integrated nozzle exit mass flow and the flow meter ranged from 0.0 to 1.3 percent for the six surveys. Finally, a comparison of this 1998 calibration was made with the 1986 calibration. Differences of less than 10 percent were found within the nozzle core flow while in the boundary layer differences on the order of 20 percent were quite common.
Human-machine Interaction in Translation: Proceedings of the 8th International Nlpcs Workshop

This special issue of Copenhagen Studies in Language is devoted to human and machine translation and human-computer interaction in translation, which were the two main foci of the 8th International Workshop on Natural Language Processing and Cognitive Science (NLPCS 2011), held at Copenhagen Business School, Denmark, in August 2011. The volume includes the 19 papers which were selected for presentation at the workshop and the text of invite keynote lectures. The workshop provided an attractive interdisciplinary forum for fostering interactions among researchers and practitioners in Natural Language Processing (NLP) working within the paradigm of Cognitive Science (CS). The overall emphasis of the annual NLPCS research workshop series is on the contribution of cognitive science to language processing, including human and machine translation, human-machine interface design, conceptualisation, representation, meaning construction, ontology building, and text mining.

Bernadette Sharp; M. Carl; M. Zock; A.L. Jacobsen
Igepath - contributions of ige-antibodies and ige effector cells to host defense against pathogenic bacteria

In combination, Immunoglobulin E antibodies (IgEs) and IgE effector cells, most importantly mast cells (MCs) and basophils, are best known for their disease-causing roles in allergic conditions. MCs can also participate in innate host defense against pathogens and toxins. In contrast, physiologic functions of IgEs that benefit the host are still elusive. Dr. Philipp Starkl led a recent study reporting the critical role of IgEs and IgE effector cells in a beneficial type 2 immune response against bee venom in mice, supporting the idea that allergies represent defense mechanisms against toxins. Toxins that induce IgE development are also produced by various pathogenic bacteria. IgE production during bacterial infection has been considered detrimental since it is associated with the exacerbation of atopic diseases.
This study investigates the hypothesis that toxin-specific IgEs can be important for acquired immunity against pathogenic bacteria by increasing the sensitivity, extent and specificity of the bactericidal MC response.
The main objective of this study is to decipher the roles of IgEs and IgE effector cells in host defense against invasive secondary infections with antibiotic resistant pathogenic bacteria, which are a major health problem in Europe.
The experimental approach facilitates knowledge transfer between the US and EU and complementarily combines the applicant’s expertise in type 2 immunity, IgEs and MCs (acquired in the US) and Prof. Sylvia Knapp’s competence in bacterial infections and involves in vivo mouse models of infection in transgenic mouse strains and MC in vitro models. 
The secondment in a pharmaceutical company will inspire collaboration and translation of results into vaccine development. 
This MSC fellowship will support the applicant’s career development by fostering acquisition of novel expertise in infectious diseases, collaboration with and reintegration into the European research community and connecting with the industrial sector.
The Impact of Asian Financial Crisis to Earnings Management and Operating Performance in Malaysia

This study is motivated by the emergence of different trend between Cash from Operations (CFO) and net income reported by companies. The objective of this study is to investigate the relationship between the operating performances of top 100 market firms listed on the Main Board of the Bursa Malaysia and the behaviour of net income after Asian financial crisis. Initially the sample firms are divided into 10 portfolios based on relative Cash from Operations (CFO) rankings to test if there are systematic differences in CFO across portfolios. A correlation test and a sign-change ratio test are used to study if operating performances and net income are interrelated. The empirical evidence supports the predictions. It suggests that firms from various industries manage earnings when operating performance is poor. The firms tend to choose income-increasing strategies, specifically when the operating performance is extremely poor. In fact, some firms tend to take a big bath whereas some of the exceptionally well performing firms tend to select income-decreasing strategies.
A natural extension of the conformal Lorentz group in a field theory context

In this paper a finite dimensional unital associative algebra is presented, and its group of algebra automorphisms is detailed. The studied algebra can physically be understood as the creation operator algebra in a formal quantum field theory at fixed momentum for a spin 1/2 particle along with its antiparticle. It is shown that the essential part of the corresponding automorphism group can naturally be related to the conformal Lorentz group. In addition, the non-semisimple part of the automorphism group can be understood as “dressing” of the pure one-particle states. The studied mathematical structure may help in constructing quantum field theories in a non-perturbative manner. In addition, it provides a simple example of circumventing Coleman–Mandula theorem using non-semisimple groups, without SUSY.
Portable monitoring solution to support continuous, accurate and reliable exposure assessment of nanomaterials (nms) for human health risk analysis

NanoWatcher is a low-cost and highly accurate innovative instrument, IPR protected, to detect and quantify nanomaterials in air to be used by non-specialised staff.
Exposure to nanomaterials (NMs) (particles below 100 nm) leads to up to 4.2 million premature deaths worldwide because they are more toxic than the same material conventionally sized, able to penetrate the lungs and increase the risk of explosion in industrial settings. Moreover, 6 million workers will potentially be exposed to nanoparticles (NPs) by 2020.
Current instruments to detect and quantify NPs have significant limitations in detecting polydisperse airborne NPs at industrial facilities, measure unspecific size fractions for human health (<450 nm), are costly (>€12,000), bench-top (>10kg), non-remote operated and use solvent-based working fluids. In addition, they require highly skilled professionals for data interpretation.
Nanowatcher is the very first particle counter designed specifically for NM exposure assessment with selective cut-off diameters of 300 and 450 nm, 1-second resolution, and operated with smart data acquisition software for data interpretation by non-expert users. 
The main benefits of our solution include: portable (<2kg), remote sensing, real-time exposure analysis, stand-alone continuous operation (120h) for long-term exposure studies, water as its working fluid, low maintenance (>18 months), and low price (€6,000).
Our targets are occupational health and safety (OHS) professionals working in: (i) Companies manufacturing NMs or nano-enabled products (7,706 in the EU); (ii) Companies exposed to hazardous fine dust particles (>60,000 in the EU); and (iii) External OHS services (~8,500 in the EU).
We estimate that the successful implementation of the NanoWatcher project will allow us to steadily reach, after 5 years of commercialisation, €26.7 M in turnover, 29 new direct jobs, and a Return on Investment (ROI) of €4.16 per euro invested.
Boundary stabilization of vibration of nonlocal micropolar elastic media

Abstract In this paper, we study the stabilization problem of vibration of linearized three-dimensional nonlocal micropolar elasticity. For this purpose, we need to demonstrate the well-posedness of the system of equations governing the vibration of three-dimensional nonlocal micropolar media for both forced (i.e. with boundary feedback) and unforced cases. We assume the non-homogeneous system of equations for the unforced (uncontrolled) case to establish the well-posedness. It should be pointed out that the well-posedness of the evolution equations in micropolar case has been studied by many authors; but, the well-posedness in the nonlocal micropolar is an open problem. Our tools in well-posedness analysis are the semigroup techniques. Afterwards, we pursue the stabilization problem and show that the vibration of the nonlocal micropolar elastic media will be eventually dissipated under boundary feedback actions consisting of stress and couple stress feedback laws. These control laws are simple, linear and can be easily implemented in practical applications. The stabilization proof is accomplished using Lyapunov stability and LaSalle’s invariant set theorems.
Combining simulated annealing with Lagrangian relaxation and weighted Dantzig–Wolfe decomposition for integrated design decisions in wireless sensor networks

A Wireless Sensor Network (WSN) is the outcome of the collaborative effort of multi-functional, low-power, low-cost, tiny electronic devices called sensors. Their ability to work autonomously provides a distributed environment capable to monitor even remote or inaccessible areas, which explains the wide application range of WSNs. There are four main issues in the design of a WSN: determining sensor locations (deployment), scheduling sensors, finding sink locations, and obtaining sensor-to-sink data routes. Sensors have very limited energy resources and their efficient management becomes critical for elongating network lifetime. As a result, most of the works on optimal WSN design are concerned with efficient energy usage. Unfortunately, only a few of them use an integrated approach and try to address these four issues simultaneously. In this work we also follow this line of research and develop first a monolithic mixed-integer linear programming model that maximizes network lifetime by optimally determining sensor and sink locations, sensor-to-sink data flows, active and stand-by periods of the sensors subject to data flow conservation, energy consumption and budget usage constraints. Then we propose a nested solution method consisting of two procedures: simulated annealing that performs search for the best sink locations in the outer level and Lagrangian relaxation based heuristic employed with weighted Dantzig-Wolfe decomposition for the multiplier update in the inner level, which determines sensor locations, activity schedules of the sensors and data flows routes. We demonstrate the efficiency and accuracy of the new approach on randomly generated instances by extensive numerical experiments.
INTRODUCING INNOVATION INSIDE SMEs

In micro and small medium enterprises innovation application and R&D expenditures are noticeable low, in particular in regions with a high concentration of small and medium sized enterprises (SMEs). In today’s working process these enterprises are overall dependent on quick solutions and support for their businesses. RTD and innovation application is no longer a simple mechanism applicable at local level but European strategies and common shared instruments must be identified. To find the hidden champions in the different regions and to spread these good examples is one of the goals of the project: I3SME.

Furthermore the project aims to improve the level of innovation application and R&D instruments in small and media enterprises by supporting business and technological centres and public administrations in charge of the promotion of innovative policies. SMEs performances can be improved by the identification of the most suitable instruments, methodologies and strategies to improve innovation within business sectors. The project aims to boost the level of innovation based on investments in personal and financial resources allocation for the adoption of innovative systems (ICT, RTD, and spin off solutions).

New and computer based technologies will create a better transnational communication and cooperation between innovation systems and set up the preconditions for making access to high-level technologies easier on a transnational level.
AGRADAR OS E AGRADECER AOS DEUSES:

Minha experiência etnográfica caracteriza-se por uma imersão progressiva no mundo ritual dos Índios Pankararé (Estado de Bahia) e Pankararu (Estado de Pernambuco). O objetivo desse artigo é apresentar alguns dos elementos que possibilitaram essa pesquisa. As relações mantidas com o mundo invisível são essenciais nos rituais observados: através do sonho, do transe de possessão ou da visão, elas favorecem a aquisição de conhecimentos e a elaboração dos rituais. Mostrarei como habilidades pessoais para o sonho, descobertas durante meu campo, entraram em ressonância com experiências individuais indígenas. Diversas doenças menores que contraí foram interpretadas como ataques das entidades invisíveis. Eu tomava conhecimento, através do meu próprio corpo, do esquema clássico das relações com o mundo invisível, que consiste em uma oscilação constante entre, de um lado, a recusa pessoal e o ataque cósmico, e, do outro, a aceitação pessoal e proteção. Agradar os e agradecer aos Deuses aparecem como maneiras viáveis para diminuir os ataques.
Establishing the value and business model for sustainable ehealth services in europe - valuehealth

VALUeHEALTH will establish how eHealth interoperability can create and deliver value for all stakeholders, for a sustainable market in scaling up cross-border services.  We will develop an evidence-based business plan for interoperability, beginning with CEF support and then sustainable revenue streams for developing and operating self-funding priority pan-European eHealth Services beyond 2020.
Our rich multi-stakeholder consortium of experienced partners and funded experts will fuse many essential viewpoints to action the work and importantly endorse and champion our business plan to ensure sustainability of the CEF beyond 2020.
Starting with use cases already proposed for the CEF by the eHealth Network, we will adopt a robust methodology to prioritise additional use cases relevant to Member States for cross-border and also within border health needs.
We will design a business model and multiple stakeholder Value Propositions for European-scale interoperability, construct the multisided market needed to sustain investments in CEF services and perform Cost Benefit Assessment and risk assessments.
We will analyze costs for delivering the prioritised use cases, developing and maintaining the required assets and derive a costed deployment roadmap for generic and healthcare-specific services. We will provide a gap analysis of standards, specifications and translations plus their priority and estimated cost.
We will collate success strategies for promoting EHRs, and of organisational changes needed to capitalise on richly interoperable EHRs, as a roadmap of scale-up adoption strategies, incentives and funders.
Finally, we will integrate and validate these results in a definitive Business Plan and Sustainability Strategy for public-private investment in digital eHealth services, as clear guidance to the CEF on how it may construct its digital service infrastructure Building Blocks for health, to ensure maximum value and optimal sustainability beyond 2020.
MEMORY MANAGEMENT TECHNIQUES FOR BLOCK-BASED CONVOLUTION

A processor can be associated with a memory for storing convolution data. A plurality of M filters from a corresponding plurality of M input channels to a selected one output channel can be provided, wherein each filter can be represented by a corresponding index, m. Each of the M filters can be partitioned into K respective filter partitions, wherein each respective filter partition can be represented by a corresponding index, k. A frequency-domain representation of each filter partition can be provided, wherein each frequency-domain representation of a filter partition comprises N frequency bins and a corresponding frequency-domain filter coefficient, wherein each respective frequency bin can be represented by a corresponding index, n. The memory can store such information in an arrangement suitable for the processor to concurrently receive sufficient information to concurrently convolve a frame of each input signal with the respective filters.