SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
The role of social cues for infant word learning

Infants start knowing the meaning of some words by 6 months of age and by age two they know hundreds. The mechanisms behind the word learning processes subtending these feats are still poorly understood. Current accounts of infants’ word learning differ about the degree to which word learning is purely a product of increasingly sophisticated perceptual associations, versus a process in which associative learning is implicated, but the main engine of development is fundamentally social and timed by the infant’s grasp of the referential intentions of others when using language. The present project will explore the mechanisms behind word learning (1) by identifying the elements that lead to a word learning advantage in a social situation, (2) by assessing whether infants infer intention from social cues, or whether the latter merely refocus attention, and (3) by testing how long-term word learning is modulated by social cues in naturalistic situations. By assessing both infants (aged 6-10 months) and toddlers  (aged 12-16 months), I will determine whether the mechanisms for word learning change with age. I will be able to characterize the role of social cues in young infants’ and toddlers' word learning for the first time by leveraging the cutting-edge technologies of gaze-contingent eye-tracking and infant-friendly automated toys.
The History of Contemporary Italy 1943-2019

This book offers a history of modern and contemporary Italy from the collapse of the dictator Mussolini to the present.
Project: scale up of cdc production for inclusion in ultracapacitor to double the performance.

Ultracapacitors (UC) are playing an increasingly important role as efficient high power energy storage devices. UC market has shown 30% CAGR since 2009. Leading consultancy IDTechEx estimates that by 2021 the directly addressable segment of large format ultracapacitors (over 100F) is forecast to reach $4bn USD. The same research identifies low energy and power density, together with high costs, as the main factors inhibiting further market growth. Skeleton Technologies (SKL) has developed a patented carbide derived carbon (CDC) UC technology, which enables a four-fold increase in power density (78 kW/L) and twice the energy density (20 Wh/L) and, approximately halving the cost/performance ratio. 
The competitive advantage in performance and system level savings has been verified by SKL´s customers ABB, Bosch, Continental, BMW, Audi.
SKL go-to-market strategy focuses on European customers in the industrial equipment, power grid and transportation industries. The revenue ramp-up plan is based on quantities and pricing information from numerous LOI´s and contracts with the pilot customers and fits the geographical and industry focus of SKL´s strategy. 
With 47 employees, incl. 9 PhD´s as the research core, and robust backing from strategic and private equity investors, SKL has the facilities and investments in place for UC production ramp-up. The aim of this project is to develop the technology necessary for CDC production in industrial scale to provide raw material for UC production and underpin the SKL performance advantage.
The technological challenge is scaling CDC production from TRL 6 by deploying large-scale fluidized bed reactors at a partner manufacturer site to achieve TRL 8. Toll manufacturer will supply the material to SKL for electrode and UC production as the next step in the value chain, while ST retains control of IP. Product-to-market fit will be ensured by extensive testing with SKL´s customers to fine-tune the cost/performance ratio.
Safety and efficacy evaluation of albumin-bound paclitaxel

Nanoparticle albumin-bound paclitaxel (nab-paclitaxel) is a novel solvent-free formulation of paclitaxel, which was developed to avoid toxicities associated with Cremophor EL® vehicle used in solvent-based paclitaxel. It is approved as monotherapy for treatment of metastatic breast cancer (MBC) in Europe and the US; in combination therapy for non-small-cell lung cancer (NSCLC) and for first-line treatment of advanced pancreatic cancer (PC) only in the US. The European Medicines Agency has recently released only a positive opinion for use of nab-paclitaxel in PC.This review reports the clinical findings and the safety data of nab-paclitaxel for MBC, NSCLC and PC.In MBC, nab-paclitaxel has demonstrated a good safety and an efficacy profile compared with other taxanes, but no strong data on overall survival are available. Considering the role of markers or predictive factors for nab-paclitaxel effectiveness in the metastatic setting would be useful. In PC, nab-paclitaxel and gemcitabine represent a new therapeutic choice with significant improvement in survival. In a Phase III study with NSCLC patients, nab-paclitaxel showed better results in a subgroup of patients with squamous histology, for whom results with conventional therapies are still poor and improved therapeutic options are needed.
Expanding the product spectrum of value added chemicals in microbial electrosynthesis through integrated process design—A review

Microbial electrosynthesis (MES) is a novel microbial electrochemical technology proposed for chemicals production with the storage of sustainable energy. However, the practical application of MES is currently restricted by the limited low market value of products in one-step conversion process, mostly acetate. A theme that is pervasive throughout this review is the challenges associated with the expanded product spectrum. Several recent research efforts to improve acetate production, using novel reactor configuration, renewable power supply, and various 3-D cathode are summarized. The importance of genetic modification, two-step hybrid process, as well as input substrates other than CO2 are highlighted in this review as the future research paths for higher value chemicals production. At last, how to integrate MES with existing biochemicals processes is proposed. Definitely, more studies are encouraged to evaluate the overall performances and economic efficiency of these integrated process designs to make MES more competitive.
EnviroAtlas - Memphis, TN - BenMAP Results by Block Group

this enviroatlas dataset demonstrates the effect of changes in pollution concentration on local populations in 703 block groups in memphis tennessee the us epa s environmental benefits mapping and analysis program benmap was used to estimate the incidence of adverse health effects i e mortality and morbidity and associated monetary value that result from changes in pollution concentrations for cuyahoga geauga lake lorain medina portage and summit counties oh incidence and value estimates for the block groups are calculated using i tree models www itreetools org local weather data pollution data and u s census derived population data this dataset was produced by the us forest service to support research and online mapping activities related to enviroatlas enviroatlas https www epa gov enviroatlas allows the user to interact with a web based easy to use mapping application to view and analyze multiple ecosystem services for the contiguous united states the dataset is available as downloadable data https edg epa gov data public ord enviroatlas or as an enviroatlas map service additional descriptive information about each attribute in this dataset can be found in its associated enviroatlas fact sheet https www epa gov enviroatlas enviroatlas fact sheets
Parallel processing of hybrid exact string matching algorithm

The advancement of computer hardware has opened up new challenges to algorithms experts. One of the challenges is designing new algorithm that exploit the parallel nature of the new architecture of current computer hardware. In this study, we redesign the hybrid exact string matching algorithm named AKRAM on parallel platform with the goal of speeding up the algorithm. The parallel of this algorithm showed optimal results, in parallel time, speed up, efficiency and percentage of performance gain when compared to the sequential version. The result demonstrated that the performance of both parallelized and sequential of AKRAM algorithm was influenced by type of data. The DNA sequence showed the highest performance than other data types after parallelization.
Development and marketing of the Talon.One-Incentivised Buying System

Implementation of the researched technologies of the Incentivise d Buying System to promote online retailers and commercialise them to business customers.
House Price Expectations: Unbiasedness and Efficiency of Forecasters

The understanding of house price expectations formation is quite limited in the housing literature. This is the first article to rigorously test the rationality of expectations of house price change using survey data. Using a panel data set of the Wall Street Journal economic forecasting survey from 2007 through 2012, I test for unbiasedness and efficiency by implementing the econometric methodology proposed in Davies and Lahiri (1995) in the setting of a three-dimensional panel data set. I find that, after controlling for aggregate shocks, nine of the 47 forecasters have statistically significant biases, and their biases are all negative, indicating that they persistently predict too high of a change in house prices. The hypothesis of efficiency cannot be rejected, suggesting lack of evidence for inefficient use of information. When the year 2012 is excluded, the unbiasedness test shows that 25 of the 47 forecasters systematically overpredicted house price changes. Again, the hypothesis of efficiency cannot be rejected.
Effects of nonlinear absorption and third order dispersion on soliton propagation in optical fiber

In this work, we use the generalized nonlinear Schrodinger equation to study propagation of ultrashort optical pulses in the presence of self-phase modulation, nonlinear absorption and third-order dispersion. The combined effect of the third-order dispersion and nonlinear absorption on amplitude, center location and phase of the soliton has investigated by approximate analytical method. Full Text: PDF References Govind. P. Agrawal, Nonlinear Fiber Optics, Academic Press, San Diego (California), 2001. DirectLink Hasegawa. A, M. Matsumoto, Optical solitons in Springer-Verlag Berlin Heidelberg 2003. CrossRef G. Tsigaridas, I. Polyzos, V. Giannetas and P. Persephonis, Compensation of nonlinear absorption in a soliton communication system, Chaos, Solitons & Fractals, Vol. 35, 2008, pp.151-160. CrossRef Haus H., Optical-fiber solitons, their properties and uses, P. IEEE 81:970-83 (1993). CrossRef Chan VWS, Hall KL, Modiano E, Rauschenbach KA., Architectures and technologies for high-speed optical data networks, J Lightwave Technol 16:2146-68 (1998). CrossRef Newhouse MA, Weldman DL, Hall DW, Enhanced-nonlinearity single-mode lead silicate optical fiber, Opt Lett, vol.16, 1185 (1990). CrossRef Okuno T, Onishi M, Kashiwada T, Ishikawa S, Nishimura M., Silica-based functional fibers with enhanced nonlinearity and their applications, IEEE J Sel Top Quant, Vol. 5, 1385(1999). CrossRef G. I. Stegeman, in Contemporary Nonlinear Optics, edited by G. P. Agrawal and R. W. Boyd (Academic, San Diego), 1992. M. A. Newhouse, D. L. weidman, and D. W. Hall, Enhanced-nonlinearity single-mode lead silicate optical fiber, Opt. Lett. Vol,15, 1185 (1990). CrossRef M. A. Newhouse, in Proceedings of a Symposium on Optical Waveguide Materials, Boston, 1991. Dinh Xuan Khoa, Bui Dinh Thuan, Influence of loss and high-order dispersion on soliton?s transmision in optical fibers, Communications in Physics, Vol.17, 17 ? 22 (2007). DirectLink
METHOD AND ASSEMBLY FOR A MULTIPLE COMPONENT CORE ASSEMBLY

A component is formed from a component material introduced into a mold assembly (700). The mold assembly includes a mold (702) that has a cavity (708) defined therein by an interior wall (706). The cavity receives the component material in a molten state to form the component. A multiple component core (400) assembly is positioned with respect to the mold and has a first core component (402) attached to a second core component (404) at a core split line (602). A core connection component (500) is attached to each of the first and second core components at the core split line, such that the first core component is held adjacent the second core component at the core split line. The core connection component is formed from a connection component material that is at least partially absorbable by the component material.
Erasmusblink: a low cost and easy to use measurement system for medical research with diagnostic potential

Neuroscientists and clinicians use a wide range of behavioral tests to investigate the physiological mechanisms of learning and memory formation. One of the most objective and reliable tests is eyeblink conditioning, as it is extremely simple, it can be done in both humans and animals, it measures many aspects of how we learn in our daily life, and it can detect memory deficits in many neurological and psychiatric diseases. However, so far there are no low-cost reliable eyeblink conditioning setups commercially available. Therefore, we propose for this ERC-POC application to prepare the commercialization of ErasmusBlink as a low-cost, wearable eyeblink conditioning recording and analysis setup that can be used in virtually all species. With ErasmusBlink one can do reliable and reproducible eyeblink conditioning experiments for scientific, medical and industrial purposes. ErasmusBlink will be the first ‘total care’ package, alleviating the potential customer from the requirement of the technical and programming skills, which one currently needs to acquire before being able to do eyeblink conditioning experiments. Our market survey will cover three major fields: Basic neurosciences (1), clinical and pharmaceutical research (2), and nutritional sciences (3). For all three fields eyeblink conditioning parameters have been shown to uncover important and fundamental functional processes and correlations. Our current academic collaborations with key players in each of these disciplines and with industrial partners like Noldus IT serve as a solid platform to ensure a successful commercialization of ErasmusBlink.
Design techniques for increasing performance and resource utilization of reconfigurable soft CPUs

Reconfigurable hardware allows application specific customization of soft microprocessors. Techniques such as removing unused instructions, software emulation of instructions, custom instruction set extensions, and run-time reconfigurable instructions have been suggested. However, the techniques have largely been studied separately from each other. The contribution of this paper is a classification method enabling integration of these techniques. This allows for generating an application specific microprocessor based system from a given program. The generated microprocessor is optimized with respect to performance per area. The improvement of our methodology is demonstrated for the CoreBench benchmark. The benefit of combining the removal of unused instructions (ISA subsetting) with software emulation of rarely used instructions is shown to increase performance while at the same time reducing resource requirements. Improvement in both area and performance is accomplished thorough simplifying the design allowing an increase in clock frequency for the synthesized soft CPU. Optimizing only by using custom instructions allowed a 12% increase in performance, but also increased resource usage by 6%. Software emulation combined with ISA subsetting allowed area savings of 7%, but only improved performance by 3%. By combining custom instructions, software emulation and ISA subsetting, we achieved an performance improvement of 15% while at the same time reducing resource requirements.
Partial oxidation of cellulose spent pulping liquor

The present invention relate to a two-stage gasification process using a gas generator for the recovery of strongly alkaline chemicals and energy value from a cellulose spent liquor. The temperature in the first reaction zone of the gas generator is maintained between 1000 C. and 1400 C. by the controlled addition of an oxygen containing gas. A strongly alkaline smelt comprising alkali oxide, alkali hydroxide, alkali carbonate and alkali borate's corresponding to at least 75% by weight of the smelt is recovered from below the first reaction zone of the gas generator. A gaseous components stream formed by exothermal reactions in the first reaction zone are directed to a second reaction or gas transfer zone of substantially of updraft or up-flow design, wherein the gaseous stream is cooled to a temperature below about 1000 C, said cooling preferably achieved by endothermal decomposition of cellulose spent liquor injected into the gaseous stream.
Uncorporates: changes in master limited partnerships

Purpose The purpose of this paper is to examine how major changes in an industry may differentially affect firms based on their organizational structure. The authors examine midstream oil and gas firms, comparing master limited partnerships (MLPs or uncorporates) with more traditional midstream corporate firms when the industry changed from one that was considered mature to a more rapid growth industry. Design/methodology/approach Non-parametric comparisons of returns, distributions, and operating ratios are presented across the two organizational forms and across two distinct industry activity periods. The risk-adjusted return analysis, including Fama and French factors, incorporates a wild bootstrap to address heteroscedasticity in the data. Findings In the industry’s mature market period, partnerships provided a significantly greater payout, return, return on equity (ROE), cash flow, and lower leverage, while exhibiting lower levels of systematic risk than corporations. In the later growth period, midstream corporations and partnerships are no longer significantly different in their returns, ROE or margins. MLPs now have significantly higher leverage levels, while continuing to provide significantly higher dividend payouts. Originality/value The paper contributes to the literature with an analysis of the effects of a changing industry environment on two different organizational types across a common industry. The authors find that the optimal organizational structure may be dependent on the environment. The findings during the initial period are consistent with prior research comparing publicly traded partnerships and corporations. During the growth phase, the findings lend support to the seminal literature with respect to corporations potentially best-suited to “growth” industries, while highlighting specific results by organizational form.
Single-Cell map of the composition and evolution of t-cell acute lymphoblastic leukemia

Spaniards have their daily siesta, Germans like sausages and Belgians love beer. Stereotypes can certainly be misleading, just like judging a cell by its membership to a particular cell type, the so-called population-based analysis. Nowadays we know that tumors are tremendously heterogeneous and, in the era of single-cell sequencing, we have the exquisite opportunity to study each individual cell with unprecedented resolution. Acute lymphoblastic leukemia (ALL), which is the most common cancer in children, shows extensive genetic intratumoral heterogeneity. This heterogeneity might be the underlying reason for an incomplete response to treatment and for the development of relapse. In order to envision its clinical implementation, it is essential to first i) generate a single-cell map and ii) accumulate evidence on how the subclonal composition affects the response to treatment. With this aim, I will build a comprehensive single-cell overview of the composition, development and response to therapy for the aggressive subtype T-cell ALL. I will perform integrative single-cell genome and transcriptome profiling of ex vivo carefully selected pediatric samples at diagnosis, during drug treatment and in case of relapse. This approach will provide realtime temporal information about the sensitivity of each cell type to the therapy and about how relapse can develop. I will use state-of-the-art single-cell technologies to which the host institute has early access. Moreover, I will apply my previous single-cell expertise and bring a unique mix of experimental and computational skills to the lab. The results of scTALLmap, will have significant impact in leukemia by paving the way for improved risk-stratification based on the cellular heterogeneity and the presence of high-risk subclones at diagnosis. Ultimately, it will permit the design of novel and more personalized therapeutic modalities sparing toxicity and targeting the full complement of leukemia subclones.
An integrated decision-making platform for the prediction, prevention and extinction of wildfires in real-time.

Wildfires have severe impacts on society, the environment and on human lives. They destroy 400,000 ha/yr. on average, mainly in Mediterranean countries, costing around €400M/yr. and causing more than 100 deaths in a single year. In spite of the technological advances of the recent decades, local authorities, institutions and the forestry sector still need timely and reliable solutions that provide real-time monitoring, prevention and risk assessment of wildfires. SAFETY FOREST is a disruptive platform for decision-making in preventing, predicting and extinguish wildfires in real time. It manages all variables needed through combination of pre-processed remote sensing data, cloud computing, machine learning and modelling tools. SAFETY FOREST intuitive interface will enable to promptly act integrating multiple data sources and big data analytics making it disruptive platform for public and private forest managers. Technically we seek the feasibility of the integrated platform while commercially we look forward to engage international stakeholders to launch SAFETY FOREST to the EU market. Risk monitoring is a critical task to reach the main goals (EU forest strategy 2030) and to prevent the high impact related to wildfires. The downstream chain of the earth observation data is a huge opportunity to develop value-added solutions to multiple business. SAFETY FOREST model is based on sales of licenses through our e-commerce web, perfectly aligned with VERMON core business. Our customers and forest associations will act as channels and help us raise awareness and disseminate our product. Other main activities that can integrate SAFETY FOREST are spatial data research and information system development which will create new market opportunities.
Dynamic Interactive Voice Response System Using Ontology and Java Expert System Shell

Abstract Interactive Voice Response (IVR) System is a technology that permits automated technologies to interact by way of customers via voice or Dual Tone Multi Frequency (DTMF) signalling keypad. An IVR system (IVRS) receives a combination of speech telephone input and keypad choice and affords suitable responses in the custom of voice. This paper is about the Dynamic IVRS for service oriented applications. In this system the request and response are handled as a services. The services can co-operate with each further to convey sophisticated added-value services. Ontologies are designed to maintain the insufficient information, hidden facts, knowledge sharing and also to handle the complete service functionalities. An ontology is a depiction (like a proper specification of a program) of the concepts and relationships that can exist for a customer. This system uses Java Expert System Shell for dynamic menu generation. JESS is a rule-engine and scripting environment which has the capability to context analysing by its intelligence. The objective of this paper is to reduce the execution delay which is measured in terms of the call length. This research optimizes the search space using Finite State Machine (FSM). It leads to better utilization and virtualization of IVR system.