SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Real time 3d motion graphics studio for creative music industry smes

In today’s entertainment sector, the ability to provide compelling visual animation presentations during musical events in clubs, concert halls and other such venues, is restricted to large scale events promoters, artists, and mega-clubs. The main reason for this is that such visual animation presentations must be designed in advance for a particular event and specifically tailored for the music to be played. Moreover, designing, developing and finally rendering such visual presentations is costly both in terms of time and budget. Such projects require the user to contract expensive video artists to create bespoke animation content and, during the live entertainment event, there is also a need to have an expert operator triggering the content as the music is playing. Such barriers to entry restrict the development and proliferation of real-time 3D Motion Graphics technology amongst creative SMEs in this sector of the mass entertainment market.  
The aim of project VISUALmusic is to remove existing barriers to entry and extend the use of this technology by developing a more affordable, Real Time 3D Motion Graphics Studio for Creative Music Industry SMEs. The VISUALmusic studio will eliminate the need for expensive design and development expertise in both the preparation and delivery of animation content. Furthermore, the VISUALmusic studio will provide the user with the capability to generate visual animation presentations in real-time as the musical event is in session. In order to reduce costs and improve capability, project VISUALmusic proposes to transfer the power of partner Brainstorm’s real time graphics technology, normally used in the broadcasting industry, to the “live event” sector of the entertainment business.
The aim of the VISUALmusic Real Time 3D Motion Graphics Studio for Creative Music Industry SMEs is also to provide experts in motion graphics design and development with a marketplace for new content.
GENETICALLY ENGINEERED HUMAN PITUITARY CORTICOTROPH TUMOR ORGANOIDS EXHIBIT DIVERGENT RESPONSES TO SELECTIVE GLUCOCORTICOID RECEPTOR MODULATORS

Provided herein is a method for determining selectively increasing the expression levels of SSTR5 in pituitary tumor cells in a patient, the method comprising administering to the patient a glucocorticoid receptor modulator (GRM) to the patient, wherein the GRM is capable of selectively stimulating the expression of SSTR5. Also provided are methods of inducing apoptosis in pituitary tumor cells or treating a pituitary tumor in a patient without resulting in significantly increasing the level of ACTH and methods of detecting a pituitary tumor by administering the GRM.
First world, first nations : internal colonialism and indigenous self-determination in Northern Europe and Australia

Introduction The Development of Sami Rights in Norway from 1980 to 2007 The Norwegian Sami Parliament & Sami Political Empowerment Indigenous Representative Bodies in Northern Europe & Australia Principles & Practice in Finnish National Policies Towards the Sami People Russia's Sami: The Search for Autonomy in the Kola Peninsula Internal Colonialism in Australia Wiradjuri: Revival & Survival Poverty Alleviation in Remote Indigenous Australia Sami Lands & Indigenous Australian Lands: Some Comparative Perspectives Arctic to Outback: Indigenous Rights, Conservation & Tourism Making Places & Polities: Indigenous Uses of Cultural Heritage Legislation in Australia & Norway Learning the Political Power Play of Survival Ethnic Discrimination & Bullying in Norway The Woggan-ma-gule Morning Ceremony Commemorating the Treaty of Waitangi Index.
Variation in ecosystem services across an urbanization gradient: A study of terrestrial carbon stocks from Changzhou, China

Ecosystem services in urban areas are regarded as multiple environmental benefits fostered by urban rural landscapes. A wide range of ecosystem services have been largely affected by land use and cover change in urban areas, leading to significant variation of ecosystem services, such as terrestrial carbon stocks across a gradient of urbanization. Urban areas are critical for terrestrial carbon dynamics owing to both considerable amount of biomass and soil carbon stored in cities and significant losses in carbon stocks from urban land use and cover change. We used Changzhou, a typical fast-growing city in China, as a case study, and estimated biomass and soil carbon stored in land covers using the InVEST model. We also quantified gradient changes in terrestrial carbon stocks in response to urban land use and cover change along two sample transects as a function of distance from the urban center. We found that carbon densities decreased with increasing intensity of urban development. Gradient transect analyses revealed an overall trend of increasing carbon stocks from the urban center to pen-urban areas as a direct result of land use and cover change driven by policy-oriented urban planning, which led to both infilling of empty areas within the urban center and sprawling of urban land toward pen-urban areas. As recent growth trends continue, the expansion of urban land markedly decreased areas previously dominated by green open spaces, making urban land use and cover change and losses in carbon stocks an increasingly important component of regional carbon dynamics. We proposed measures to mitigate these negative effects of urbanization on carbon stocks both for densely built-up areas and for rapidly urbanizing pen-urban areas. (C) 2015 Elsevier B.V. All rights reserved.
A holistic multi-actor approach towards the design of new tomato varieties and management practices to improve yield and quality in the face of climate change

The world demographic growth and global climate change are major challenges for human society,hence the need to design new strategies for maintaining high crop yield in unprecedented environmental conditions.The objective of TomGEM is to design new strategies aiming to maintain high yields of fruit and vegetables at harsh temperature conditions, using tomato as a reference fleshy fruit crop.As yield is a complex trait depending on successful completion of different steps of reproductive organ development, including flower differentiation and efficient flower fertilization,TomGEM will use trans-disciplinary approaches to investigate the impact of high temperature on these developmental processes.The core of the project deals with mining and phenotyping a vast range of genetic resources to identify cultivars/genotypes displaying yield stability and to uncover loci/genes controlling flower initiation,pollen fertility and fruit set.Moreover,since high yield and elevated temperatures can be detrimental to quality traits,TomGEM will also tackle the fruit quality issue.The goal is to provide new targets and novel strategies to foster breeding of new tomato cultivars with improved yield.The main strength of TomGEM resides in the use of unique and unexplored genetic resources available to members of the consortium.It gathers expert academic researchers and private actors committed to implement a multi-actor approach based on demand driven innovation.Tomato producers and breeders are strongly involved from design to implementation of the project and until the dissemination of results.TomGEM will provide new targets and novel strategies to foster the breeding of new tomato cultivars with improved yield under suboptimal temperature conditions.TomGEM will translate scientific insights into practical strategies for better handling of interactions between genotype,environment and management to offer holistic solutions to the challenge of increasing food quality and productivity.
Inspection drones for ensuring safety in transport infrastructures

The Drones4Safety project aims to increase the safety of the European civil transport system by building a cooperative, autonomous, and continuously operating drone system that will be offered to railway and bridge operators to inspect their transportation infrastructure accurately, frequently, and autonomously. The Drones4Safety approach will design energy harvesters to tap energy from the overhead electricity infrastructures of railways and power lines to recharge drones. The project will use satellite and open maps to identify the parts of the transport infrastructure that lays near the electricity infrastructure and feed that information to its drones for scheduling their autonomous missions. The project will develop and improve the state-of-the-art artificial intelligence algorithms to optimize the inspection results onboard of the drone. The project will build a swarm drone system that uses advanced low power long range communication network techniques to inspect different parts of the infrastructure at the same time. Navigation based on advancements in EGNOS/Galileo GNSS will improve accuracy og geo-location of inspection events. The project’s outcomes will be offered to the transportation operators in forms of software services and hardware drone system.
The project brings together leading industrial, research, and academic experts in infrastructure inspection, energy harvesting, artificial intelligence, communications, and drone technology. Two use cases for bridge and railway inspections will be conducted to evaluate the project outcomes.
Spatial-Temporal information processing for collision detection in dynamic environments

In the real world, collision happens at every second - often results in serious accidents and fatalities. For example, there are more than 3560 people died from vehicle collision per day worldwide. On the other sector, autonomous unmanned aerial vehicles (UAVs) have demonstrated great potential in serving human society such as delivering goods to households and precision farming, but are restricted due to lacking of collision detection capability. The current approaches for collision detection such as radar, laser based Ladar and GPS are far from acceptable in terms of reliability, energy consumption and size. A new type of low cost, low energy consumption and miniaturized collision detection sensors are badly needed to not only save millions of people’s lives but also make autonomous UAVs and robots safe to serve human society. STEP2DYNA consortium proposes an innovative bio-inspired solution for collision detection in dynamic environments. It takes the advantages of low cost spatial-temporal and parallel computing capacity of visual neural systems and realized it in chip specifically for collision detection in dynamic environments.

Realizing visual neural systems in chips demands multidisciplinary expertise in biological system modelling, computer vision, chip design and robotics. This breadth of expertise is not readily possessed within one institution. Secondly, the market potential of the collision detection system could not be well exploited, unless by a dedicated partner from industry. Therefore, this consortium is designed to bring neurobiologists, neural system modelers, chip designers, robotics researchers and engineers from Europe and East of Asia together and complement each others’ research strengths via staff secondments, jointly organised workshops and conferences. Through this project, the partners will build up strong expertise in this exciting multidisciplinary area and the European SME will position well as a market leader in collision detection.
Translocal identities. the śivadharma and the making of regional religious traditions in premodern south asia

This project aims at examining the impact of the spread of the Śaiva religion on the formation of regional religious identities in South Asia from the Middle Ages to premodern times. In order to tackle this issue, the Principal Investigator and her team will examine the historical evidence connected with a still little studied but highly influential tradition of Sanskrit texts collectively called “Śivadharma” (= “Śaiva Religion”), which have been transmitted in some of the most representative regions of South Asia to exhibit the continuing influence of Śavisim. The impact of this literature can be traced in multiple literary, epigraphical and iconographic sources, making it particularly suitable for a multidisciplinary study in which the analysis and edition of texts goes hand in hand with that of the inscriptions and archaeological context. The regions that will be considered for this project are: Nepal, the Deccan area (with connections to the Andhra coast), the northeastern area of the Bay of Bengal (present-day West Bengal and Odisha), Tamil Nadu and Kerala. 
 The Śivadharma texts, composed around the 6th to 7th century, are mostly related to the institutional and cultural facets of lay religion, thus offering access to information on the material and practical aspects of Śaivism at a time corresponding to its rise to monarchical patronage in South and Southeast Asia. The main focus of the team’s research will be on the process of how these texts were adapted to the different regional contexts in which they are transmitted, as well as the assessment of the impact that their knowledge had on the formation of local Śaivism. We will thus study the manuscript transmission of the texts, along with the texts themselves in their regional variants; translations and commentaries on the texts in Sanskrit and Dravidian languages; and the inscriptions and icons of religious centers that are linked to the texts and the religious current sponsoring them.
Thermodynamic properties of binary mixtures combining two pyridinium-based ionic liquids and two alkanols

Abstract Densities and speeds of sound have been determined for the binary mixtures containing an ionic liquid (1-butyl-3-methylpyridinium tetrafluoroborate or 1-butyl-4-methylpyridinium tetrafluoroborate) and an alkanol (methanol or ethanol) over the temperature range (293.15 to 323.15) K. Excess volumes and excess isentropic compressibilities have been calculated from density and speed of sound data and correlated. All the mixtures show negative values for these excess properties. Furthermore, the isothermal (vapour + liquid) equilibrium has been measured at T = (303.15 and 323.15) K, and the corresponding activity coefficients and excess Gibbs functions have been obtained. In this case, positive excess Gibbs functions have been found. We have carried out an exhaustive interpretation of the experimental results in terms of structural and energetic effects taking also into account the thermodynamic information of pure compounds. Finally, in order to study the influence of both, the presence and the position of methyl group in the cation, we have compared the results of these systems with those obtained for the mixtures formed by 1-butylpyridinium tetrafluoroborate and methanol or ethanol.
Synthesis and characterisation of PEG-peptide surfaces for proteolytic enzyme detection

Peptide surfaces were obtained by the covalent immobilisation of fluorescently labelled pentapeptides carboxyfluorescein–glycine–arginine–methionine–leucine–glycine, either directly or through a poly(ethylene glycol) (PEG) linker on modified silicon wafers. Each step during the preparation of the peptide surfaces was confirmed by several surface characterisation techniques. Time-of-flight secondary ion mass spectrometry (ToF-SIMS) and X-ray photoelectron spectroscopy were used to determine the surface composition, the wafers philicity was measured by contact angle and atomic force microscopy was used to investigate the surface morphology. Exposure of the peptide surfaces to trypsin resulted in the release of a fluorescently labelled peptide product, which allowed the kinetics of the enzymatic reaction to be followed with the aid of fluorescence spectroscopy. The electrospray ionisation mass spectrometry analysis of the post-digestion solution confirmed that the pentapeptides attached to the solid support undergo specific trypsin hydrolysis at the C-terminus of the arginine residues. Detailed surface analyses before and after the enzyme action was performed using ToF-SIMS. Because of the limited accessibility of the short peptide directly attached to the surface, a quantitative yield of enzymatic hydrolysis was observed only in case when the peptide was bound through the PEG linker. The insertion of the PEG linker increased the number of immobilised peptides and the rate of enzymatic digestion which consequently improved the quality of the enzyme assays. The described approach may be used for different peptide sequences designed for other proteases. Monitoring of trypsin hydrolysis on PEG-peptide surface
High Risk for Seizures Following Subarachnoid Hemorrhage Regardless of Referral Bias

To investigate the frequency, predictors, and clinical impact of electrographic seizures in patients with high clinical or radiologic grade non-traumatic subarachnoid hemorrhage (SAH), independent of referral bias.We compared rates of electrographic seizures and associated clinical variables and outcomes in patients with high clinical or radiologic grade non-traumatic SAH. Rates of electrographic seizure detection before and after institution of a guideline which made continuous EEG monitoring routine in this population were compared.Electrographic seizures occurred in 17.6 % of patients monitored expressly because of clinically suspected subclinical seizures. In unselected patients, seizures still occurred in 9.6 % of all cases, and in 8.6 % of cases in which there was no a priori suspicion of seizures. The first seizure detected occurred 5.4 (IQR 2.9-7.3) days after onset of subarachnoid hemorrhage with three of eight patients (37.5 %) having the first recorded seizure more than 48 h following EEG initiation, and 2/8 (25 %) at more than 72 h following EEG initiation. High clinical grade was associated with poor outcome at time of hospital discharge; electrographic seizures were not associated with poor outcome.Electrographic seizures occur at a relatively high rate in patients with non-traumatic SAH even after accounting for referral bias. The prolonged time to the first detected seizure in this cohort may reflect dynamic clinical features unique to the SAH population.
Givens transformation and QR factorization of complex matrix

There is a mature algorithm of the triangle factorization of the real matrix,but there is not a good one of that of the complex matrix.To solve the problem on the triangle factorization of the complex matrix,This paper uses the scientific analogy,redefinition,extending the definition,and deduction to solve this problem.It gives a definition for the complex Givens matrix.It also deduces that the complex Givens matrix is a Unitary matrix.It gets the algorithm of rotating a complex vector to any fixed direction by finite complex Givens transformations.It proves that any nonsingular complex matrix can be factorized in a product between a Unitary matrix and a complex nonsingular upper triangular matrix by finite complex Givens transformations.It solves the QR factorization of the complex matrix by the complex Givens transformations.
Islamization from Below: The Making of Muslim Communities in Rural French Sudan, 1880-1960

The colonial era in Africa, spanning less than a century, ushered in a more rapid expansion of Islam than at any time during the previous thousand years. In this groundbreaking historical investigation, Brian J. Peterson considers for the first time how and why rural peoples in West Africa became Muslim under French colonialism. Peterson rejects conventional interpretations that emphasize the roles of states, jihads, and elites in converting people, arguing instead that the expansion of Islam owed its success to the mobility of thousands of rural people who gradually, and usually peacefully, adopted the new religion on their own. Based on extensive fieldwork in villages across southern Mali (formerly French Sudan) and on archival research in West Africa and France, the book draws a detailed new portrait of grassroots, multi-generational processes of Islamization in French Sudan while also deepening our understanding of the impact and unintended consequences of colonialism.
Correlation and Path Coefficient Analyses of Grain Yield and Yield Components in Two-Rowed of Barley (Hordeum vulgare convar. distichon) Varieties

This research sought to determine the correlations between grain yield and yield components and to measure the direct and indirect effects of yield components on grain yield in barley by using correlation coefficient and path analysis methods, respectively. This research was conducted with ten varieties of two-rowed barley under the ecological conditions of the coastal zone of northwest Turkey during the years 2003-2004. Agronomic traits such as grain yield, plant height, spike length, kernel number per spike, kernel weight per spike, spike number per m2, harvest index and 1000-kernel weight were determined. The data from two years were combined. Correlation analyses indicated that the grain yield was positively and significantly associated with all the yield components except 1000-kernel weight. The highest correlation coefficients were found between grain yield and kernel number per spike (r = +0.406), and between grain yield and harvest index (r = +0.474). Results of path analyses indicated that harvest index had the greatest direct effect (+0.7716) on grain yield followed by spike number per m2 (+0.3359) and kernel number per spike (+0.2081). Percentages of their direct effect were 71.97%, 48.47% and 28.22%, respectively. On the other hand, most of the indirect effects of yield components on grain yield were found to be significant and positive. Because of the significant effects of the harvest index, spike number per m2 and kernel number per spike on grain yield, they may be regarded as criteria for barley improvement and breeding programs.
Wavelet transform of quantum chemical states

By using the technique of integral within an ordered product of operators, we recast classical wavelet transform to a matrix element of the squeezing-displacing operator U(μ,s) between the mother wavelet vector 〈ψ| and the state vector |f〉 to be transformed, i.e., we propose that 〈ψ|U(μ,s)|f〉 can be considered as a new kind of spectrum for analyzing the quantum state |f〉. In this way, we propose the wavelet- transform spectrum for quantum chemical states. As an example, we carry out the numerical calculation of wavelet-transform spectrum for the binomial state. It seems to us that this kind of spectrum can be used to recognize a variety of quantum chemical states. © 2011 Wiley Periodicals, Inc. Int J Quantum Chem, 2012
Northern hemisphere winter climate response to greenhouse gas, ozone, solar, and volcanic forcing

The Goddard Institute for Space Studies (GISS) climate/middle atmosphere model has been used to study the impacts of increasing greenhouse gases, polar ozone depletion, volcanic eruptions, and solar cycle variability. We focus on the projection of the induced responses onto Northern Hemisphere winter surface climate. Changes in the model's surface climate take place largely through enhancement of existing variability patterns, with greenhouse gases, polar ozone depletion and volcanic eruptions primarily affecting the Arctic Oscillation (AO) pattern. Perturbations descend from the stratosphere to the surface in the model by altering the propagation of planetary waves coming up from the surface, in accord with observational evidence. Models lacking realistic stratospheric dynamics fail to capture these wave flux changes. The results support the conclusion that the stratosphere plays a crucial role in recent AO trends. We show that in our climate model, while ozone depletion has a significant effect, greenhouse gas forcing is the only one capable of causing the large, sustained increase in the AO observed over recent decades. This suggests that the AO trend, and a concurrent strengthening of the stratospheric vortex over the Arctic, are very likely anthropogenic in origin.