SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
A Recognition Judgment Method of Isolated-Word Speech-Recognition

Isolated-word speech-recognition system adopted the shortest distance of Dynamic Time Warping (DTW) to make recognition judgment, which has the disadvantage of high False Accept Rate (FAR), poor anti-noise and robustness. This paper proposes a new method based on DTW distance Threshold Estimation for recognition judgment. This method processes the maximum distance between template speech and training input speech multiplying adjusting coefficient, then plus noise DTW distance, which regard the final result as distance Threshold Estimation. At the time of doing speech recognition, if the distance between testing speech and template speech exceeds the Threshold Estimation, then the system will not recognize this speech. The experiment shows that this method can greatly improve the anti-noise and robustness performance of the Isolated-word speech-recognition system and solve the problem of high FAR.
The international dimensions of authoritarian regime survival: comparing “dictaplomatic” strategies in post-soviet eurasia

DICTAPLOMACY investigates an understudied dimension of authoritarianism – the use autocrats make of diplomacy as a tool of regime-survival. The project analyses and compares the foreign policy strategies and “dictaplomatic” tactics of four ideal-typical authoritarian regimes in post-Soviet Eurasia, with the aim of modelling the mechanisms whereby diplomacy serves them for external regime-legitimation and authoritarian consolidation. 
DICTAPLOMACY is a multidisciplinary project that combines insights and methods from comparative politics, international relations (IR) theories and foreign policy-making analysis. It elaborates an innovative framework for analysing rogue behaviour in contemporary IR. It departs from the idea that the EU’s democracy-promotion efforts in Eastern Europe require a better understanding of the foreign policy manoeuvres of post-Soviet authoritarian regimes. In identifying the international components of authoritarian resilience, DICTAPLOMACY also highlights which incentives and coercive means could limit the resilience and contain the diffusion of authoritarian governance. This is a timely endeavour, given the growing assertiveness of Russia in world affairs, and the emerging “nuisance” capacity of many of its undemocratic neighbours (Belarus, Azerbaijan and Kazakhstan notably) in regional affairs. 
Building on the researcher’s expertise in post-Soviet transition and the geopolitics of Eurasia, as well as on the leading academic experience of the host institution in diplomatic studies, the Individual Fellowship will provide the experienced researcher with a chance to acquire new skills, thus reinforcing her maturity as an IR scholar, as well as the host institution’s own visibility in the European Research Area. DICTAPLOMACY is a policy-relevant project with a strong potential to entail cross-disciplinary fertilisation between scientific research and policy-advocacy work as well, thanks to the researcher’s planned secondment in a think tank.
Imaging of multiple mrna targets using sers nanoparticle labels and in situ hybridization in human cancer tissue sections

Early cancer diagnosis greatly increases the chances for successful treatment and personalised therapy. RNA molecules have emerged as new candidate biomarkers for detecting a wide variety of cancers, due to their critical role in cell growth and development. In situ hybridization techniques for mRNA detection provide detailed spatial and temporal information on RNA expression with single-molecule sensitivity, however the traditional techniques that utilise fluorescence probes and quantum dots lack of high multiplexing capabilities. RISH seeks to develop a methodology that allows sensitive multiplex detection, quantification and distribution of cellular mRNA biomarkers utilising surface-enhanced Raman spectroscopy (SERS) nanoparticle (NP) labels. SERS NP-labels consist of metal nanoparticles modified with a self-assembled monolayer of Raman reporters and are sensitive and robust labels that offer great multiplexing capacity. Molecular beacon hybridization probes specific to mRNA targets will be conjugated to SERS NP-labels to allow optical detection utilising Raman microscopy in human cancer tissue sections. The mRNA expression levels will be correlated with those from fluorescence in situ hybridization and the respective protein expression levels after immunohistochemistry. The research proposal is highly multidisciplinary and includes aspects of spectroscopy, optics, biochemistry, nanotechnology and pathology. The research fellow plans to work closely with experts from both the hospital and the industry to apply this methodology in the diagnosis of initially breast cancer and of different types of cancer at a later stage.
Better communication for chemists

When members of the public think of chemistry, they often conjure images of explosions and pollution rather than of new materials, drugs, or energy solutions. That’s the view being taken by a National Research Council report released earlier this month that aims to give chemists better tools for explaining chemistry to nonscientists. “We need to break down that barrier,” said Northwestern University chemistry professor Mark A. Ratner at a press conference last week at the American Chemical Society national meeting. Ratner is cochair of the committee that created the report. “ Effective Chemistry Communication in Informal Environments” argues that chemists face special challenges when communicating with the public. Most people take just one high school chemistry class. And outside of school, chemistry is underrepresented in the public discourse about science. For example, chemistry is the scientific field least likely to be shared online, the report shows, and it is underrepresented
La inserción en el mercado laboral de los inmigrantes latinos en España y en los Estados Unidos. Diferencias por país de origen y estatus legal

This paper compares economic outcomes among Latin American migrants to Spain and the United States. We detect a selection effect whereby the majority of Latin American migrants to Spain originate in South America from middle-class backgrounds, whereas most migrants to the United States are Central Americans of lower class origins. This selection effect accounts for cross-national differences in the probability of employment, occupational attainment, and wages earned. Despite differences in the origins and characteristics of Latino immigrants to the each country, demographic and human and social capital factors appear to operate similarly in both places; and when models are estimated separately by legal status, we find that effects are more accentuated for undocumented compared with documented migrants, especially in the United States.
ARITHMETIC QUANTUM GRAVITY

The arithmetic chaos of classical (super)gravity near a spacelike singularity is elevated to the quantum level via the construction of a cosmological quantum billiard system. Its precise formulation, together with its underlying algebraic structure, allows for a general analysis of the wavefunction of the universe near the singularity. We argue that the extension of these results beyond the billiard approximation may provide a concrete mechanism for emergent space as well as new perspectives on several long-standing issues in canonical quantum gravity. The exponentially growing complexity of the underlying symmetry structure could introduce an element of non-computability that effectively "screens" the cosmological singularity from a complete resolution.
Hepatitis B Knowledge Levels of Turkish Nursing and Midwifery Students

Aim: The aim of this study was to determine knowledge levels of students in School of Health, Kahramanmaras Sutcu Imam University, and examine the influence of various factors on hepatitis B knowledge levels.
Method: The study was conducted in the School of Health of Kahramanmaras Sutcu Imam University between April and June 2009. All of the 296 students in the school were planned to be included in the study. Survey forms; prepared in the light of the data reported in the literature by investigators, and composed of 37 questions, were delivered to the students and they were asked to fill them out. 18.2% of the students couldn’t be reached. Thus, only 242 students (81.8%) were included in the study. 
Results: While 87.2% of the students expressed sexual intercourse as a transmission route of HBV, 67.4% mentioned perinatal route, 96.7% expressed blood and blood products, 79.8% mentioned use of common goods such as towel and toothbrush. 78.1% of the students did not consider breast milk as a transmission route for HPV, whereas fecal-oral route, handshake-hugging, and kissing were not known to be a way of transmission for HPV in 65.7%, 86.8%, and 56.2% of the study population, respectively. Mean level of hepatitis B knowledge among students was 69.8±19.4. Knowledge score of nursing students was 1.1 points higher than that of midwifery students and the difference between them was not significant. As the college year elevated, hepatitis B knowledge scores increased as well. 
Conclusion: Hepatitis B knowledge score of undergraduate students in Nursing and Midwifery Departments of Kahramanmaras Sutcu Imam University, was 69.8±19.4. Since hepatitis B knowledge score raises parallel to the elevation of college year, hepatitis B education should be provided in the first year.
Transmission of hepatitis C from a midwife to a patient through non-exposure prone procedures

A woman developed acute hepatitis C (HCV) infection 2 months after delivering her baby at a London Hospital. The other patients who had been on the unit at the same time all had negative HCV serology antenatally. Testing of the healthcare workers who had been involved in this patient's care revealed that one of the midwives who only worked on the postnatal unit was chronically infected with the same viral genotype. Sequencing and phylogenetic analysis revealed close identity between the viruses from the two individuals. Although, the midwife had only performed non-exposure prone procedures including venepuncture and cannulation, our findings indicate that transmission of the virus had occurred from the healthcare worker to the patient. The potential implications of this case within the setting of national policy on blood borne viruses and healthcare workers are discussed.
Vehicle body with a B-pillar

Motor vehicle body (1) comprises a B-column (2) in a monocoque construction which is internally reinforced with a tube (5) extending over the entire length of the B-column from the sill (6) to the roof frame (7). Preferred Features: The tube is made of quenched and drawn steel and is connected with its lower section via a deformation element (9) to the vehicle body.
THERMOREGULATING MODULE AND PROCESS FOR MAKING THE SAME

A thermoregulating module (10) comprises a backing structure (12) to which a woven fabric (14) comprising metal threads (16) is applied. The metal threads (16), such as copper, are electrolytically processed and suitably provided with a protective coating. The module (10) can be used as a wallpaper or other element to be coupled to the surfaces of walls, ceilings or floors of rooms where a constant temperature is required.
Mobilizing new Areas of Investments And Together Aiming to increase Quality of life for All

Despite the fact that in the Southern Mediterranean countries there is a growing need for resource efficiency (RE) services (consulting, engineering and operations) to deal with the pressure on the environment, the RE supply persists at low levels. This is essentially due to the lack of a proper innovation process that would be able to identify the needs, structure the creative solutions and commercialise them. MAIA-TAQA will deal with these issues by setting up demonstrators in 3 Mediterranean pilot areas where innovative services will be applied: they will be related to micro-grids, photovoltaics, energy storage, solar thermal technologies and water sanitation and purification. Partners will develop solutions for each identified barrier: capacity building programme (for lack of skills); innovation desk (for lack of information); guidelines (for lack of regulation); voucher (for lack of finance) and targeted B2B events (for lack of specific matchmaking). The main final beneficiaries are SMEs (especially from environment/utility/building sector) that can have a set of supporting instruments to overcome the existing barriers and reduce the risks to innovation.
A sociologia da educação no Nordeste brasileiro: uma análise a partir dos grupos de pesquisa.

This article is a result of the deepening of part of a broader research about the development of the Sociology of Education in Brazil which has shown concerns in order to characterize the academic production of knowledge in this area, and place the task of extending these concerns. Our goal is to analyze the research groups that engage directly or indirectly to the Sociology of Education in the country, take the Northeast as the main analytical focus. The research groups registered in the National Council for Scientific and Technological Development directory were taken as sources of information about institutionalizing itself Sociology of Education in the Northeast region of Brazil. The results indicated a field still in consolidation, riddled with contradictions, as an effective presence of research groups related to the Postgraduate Program in Social Sciences in contrast to the few lines of these programs focused on education.
PS2-52: VDW Data Sources: Mid-Atlantic Permanente Research Institute

Background/Aims
The Virtual Data Warehouse (VDW) was created as a mechanism for producing comparable data across sites for purposes of proposing and conducting research. It is “virtual” in the sense that the data remain at the local sites rather than at a centralized data coordinating center. At the core of the VDW are a series of standardized file definitions. Content areas and data elements that are commonly required for research studies are identified, and data dictionaries are created for each of the content areas, specifying a common format for each of the elements—variable name, label, description, code values, and value labels. Local site programmers have mapped the data elements from their HMO’s data systems into this standardized set of variable definitions, names, and codes, as well as onto standardized SAS file formats. This common structure of the VDW files enables a SAS analyst at one site to write one program to extract and/or analyze data at all participating sites.
Radio technologies for 5g using advanced photonic infrastructure for dense user environments

In RAPID, we propose to use a centralized radio access (C-RAN) architecture to support high-capacity heterogeneous (3g, 4G and 60 GHz) radio access technologies through low-cost, but ultra-high-bandwidth photonic techniques for the fibre distribution. To meet the requirement to transport the high-frequency (and wide-bandwidth) wireless signals at low-cost, a novel coherent radio-over-fiber (CRoF) scheme is proposed in RAPID. Furthermore, for the mobile receiver, novel extremely low-cost (<10€) integrated transceivers will be developed based upon a SiGe technology. 
The radio resource management of the heterogeneous network using the developed mm-wave and photonic technologies together with legacy 3G/4G wireless will be demonstrated in RAPID and the developed hardware will be tested in life-cycle assessments within different real life networks scenarios including a public stadium, an operators fiber-optic and wireless network, as well as in train, airport scenarios.
Advances in thermal energy storage development at the German Aerospace Center (DLR)

Thermal energy storage (TES) is a key technology for renewable energy utilization and the improvement of the energy efficiency of heat processes.Sectors include industrial process heat and conventional and renewable power generation.TES systems correct the mismatch between supply and demand of thermal energy.In the medium to high temperature range (100～1000℃),only limited storage technology is commercially available and a strong effort is needed to develop a range of storage technologies which are efficient and economical for the very specific requirements of the different application sectors.At the DLR's Institute of Technical Thermodynamics,the complete spectrum of high temperature storage technologies,from various types of sensible over latent heat to thermochemical heat storages are being developed.Different concepts are proposed depending on the heat transfer fluid (synthetic oil,water/steam,molten salt,air) and the required temperature range.The aim is the development of cost effective,efficient and reliable thermal storage systems.Research focuses on characterization of storage materials,enhancement of internal heat transfer,design of innovative storage concepts and modelling of storage components and systems.Demonstration of the storage technology takes place from laboratory scale to field testing (5 kW～1 MW).The paper gives an overview on DLR's current developments.
A comparison of production planning formulations with exogenous cycle time estimates using a large-scale wafer fab model

A key parameter of the linear programming (LP) models widely used for production planning in industry and academia are the lead times, the estimated delay between material becoming available to a resource and the completion of its processing at that resource. Lead times are commonly treated as exogenous, workload-independent parameters and assumed to be integer multiples of the planning period. Although formulations with non-integer lead times have been proposed in the past, we are not aware of any studies that systematically evaluate the benefits of using non-integer lead times in LP models. In this paper we implement LP models to plan the releases of wafers into a large-scale wafer fabrication facility and compare the performance of LP models with and without non-integer lead times by simulating the execution of the resulting release plans. We find that the models with non-integer lead times yield substantially improved performance, and are quite straightforward to implement.
Blind restoration of remote sensing images

Images invariably represent a blended version of the native scene. Restoration of remote sensing images from multiple degraded images taken under diverse happenstances is the major concern of this work. The work is concern with blind restoration of remote sensing images which symbolizes restoring the images without knowing their primitive extent and the degradation cause. Existing multi channel blind restoration methods require spatially aligned images and correct veneration of blur size and shape. A brief study of degradation phenomenon along with heterogeneous restoration techniques is also presented. The proposed method is a small modification of existing LPA-ICI algorithm by using a different wavelet technique (Immerkaer-Daubechies). Simulation results are presented for standard and real grayscale and colored images. Subjective and Objective evaluation of the restored images is presented for quality assessment. From the results presented it can be concluded that for all the images a high value of Peak Signal to Noise Ratio (PSNR) is obtained by using proposed algorithm as compared to LPA-ICI.
Algae4Ibd –from nature to bedside- algae based bio compound for prevention and treatment of inflammation, pain and ibd

Algae4IBD's mission is to develop commercial products for Inflammatory Bowel Disease (IBD) prevention and treatment using aquatic natural biological resources. With the emerging developments in natural product, notable success has been achieved in discovering natural products and their synthetic structural analogues with anti-inflammatory activity. However, global biodiversity remains a largely unexploited resource for natural bioactive molecules with an enormous potential for developing commercial products with public health benefits. Micro and macroalgae, found in marine and freshwater, have been identified as promising sources of bioactive compounds including small molecules and secondary metabolites with a wide range of bioactivities as an antioxidant, anti-inflammatory and cancer preventive. Consumption of algae could, therefore, provide defence against chronic inflammatory diseases such as IBD, that until date have no effective cure. This project offers nature to bedside approach, using an entire development along the value chain for a new biodiscovery therapeutic approach by developing and examining algae-based compounds for IBD patients while guaranteeing algae's biodiversity preservation. We propose innovative solutions for increasing the use of algae-based ingredients and to ensure the science-based improvement of nutritional quality and its effect on public health. The researchers, companies and hospitals involved in the different stages of the project will use the biodiversity of algae, both micro and macro, as a wide source for bioactive compounds using state-of-the-art cultivation and extraction technologies for obtaining sufficient amounts of the bio-active molecules together with novel processing protocols.  It will result in novel algal-based, high-quality bioactive compounds at GMP grade and lower costs for dual purposes – IBD prevention and treatment in relevance to the food as well as the pharmaceutical industries.
OakMark – Optimisation of Processes and Procedures

The project aims to digitise the content provided by Paulo de Vilhena, in order to be promoted internationally in a set of target markets, where it will contribute to accelerate the results of its customers. This application provides for the improvement of support processes.
Local feature learning for face recognition under varying poses

In this paper, we present a local feature learning method for face recognition to deal with varying poses. As opposed to the commonly used approaches of recovering frontal face images from profile views, the proposed method extracts the subject related part from a local feature by removing the pose related part in it on the basis of a pose feature. The method has a closed-form solution, hence being time efficient. For performance evaluation, cross pose face recognition experiments are conducted on two public face recognition databases FERET and FEI. The proposed method shows a significant recognition improvement under varying poses over general local feature approaches and outperforms or is comparable with related state-of-the-art pose invariant face recognition approaches.
Super-Enhancer modules controlling plasticity and response to therapy in pancreatic cancer

Recently discovered subtypes in pancreatic ductal adenocarcinoma (PDAC) have potential to better guide the choice of therapy. However, this is challenged by the lack of robust data, patient heterogeneity, tumour cell plasticity, dynamic crosstalk with surrounding cells, and post-chemotherapy induced alterations. A few transcription factors may act as drivers of specific PDAC subtypes and changes in there expression through aberrant activation of super-enhancers may lead to ‘’subtype switching’’. However, the effect of the tumour-microenvironment on enhancer-driven gene expression programme to promote ‘’subtype switching’’ in pancreatic tumour cells remains largely unexplored. Hence, with this proposal I aim to provide in-depth characterization of this dynamic crosstalk combining reporter tracing through fluorescent labelling of subtype-specific transcriptional drivers of tumour cell states with powerful high throughput single-cell technologies, and super-enhancer single cell profiling which will translate to a clinical study of neoadjuvant chemotherapy with sequential tumour sample profiling. This work will ultimately provide a platform for the development of methods to precisely determine the ""phenotypic"" state of PDAC cells and aid in designing new agents to target these processes, with the ultimate goal of converting non-responder to responder tumours and improve patient outcome.