SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
CENTRAL EUROPE Regional Innovation Ecosystems Network

Change is still needed to make the cities and regions in Central Europe better places to work and live. Daring young entrepreneurs with brilliant ideas could contribute considerably to this change. But they can’t. Factors such as a lack of an entrepreneurial culture and mind-set leading to a limited interest in entrepreneurship are hampering their efforts. There is also inadequate training to improve their skills and entrepreneurial competences and innovation in general is being hampered by the lingering effects of the historical east-west divide and the recent economic crisis through an underinvestment in R&D.
And yet, entrepreneurs must be empowered to create change; they “form the majority of business entities and are the biggest employers” in Central Europe. “It is important to provide, at regional level, the right mix of financial and non-financial support to assist entrepreneurs to create new firms.” "And this is our goal. By mid-2019, we will contribute to a change in the way entrepreneurs are inspired, trained and supported through a balanced package of strategies, actions plans, pilot actions, training, and tools to create new-type comprehensive regional innovation ecosystems in seven Central Europe regions. With our three-step logical project approach (Development – Implementation – Improvement), we want entrepreneurs and SMEs to benefit the most from what we do. But also their regions will benefit because from now on regional smart specialization strategies will be further used to develop novel technologies, and brilliant products and services for economic and social innovation.” The joint development of all outputs and a transnational network interlinking the regional ecosystems to improve international skills emphasize the project’s transnational character. At present, there is presumably no such state-of-the art innovative support scheme in Central Europe. “That is why everything that we do will be transferable for the benefit of others."
Cover system with protection against accidental contact for a switchgear cabinet and a suitable fastening system.

A switching cubicle has a housing and supports inside for various apparatus, the supports all being long rails (11,12) at right angles to each other and connected at certain places (13). The front sides of the rails all lie in the same plane. On these sides are series of holes used to fasten two cover plates (40) with snap-action screws. These screws have flexible collars on the shafts which engage with corresponding support surfaces of the cover plates. These give high mechanical stability and increased versatility to the support rails plus secure seating without play for the cover plates. <IMAGE>
Software control and characterization aspects for image derotator of the AO188 system at Subaru

The image derotator is an integral part of the AO188 System at Subaru Telescope. In this article software control, characterization and integration issues of the image derotator for AO188 System presented. Physical limitations of the current hardware reviewed. Image derotator synchronization, tracking accuracy, and problem solving strategies to achieve requirements presented. It's use in different observation modes for various instruments and interaction with the telescope control system provides status and control functionality. We describe available observation modes along with integration issues. Technical solutions with results of the image derotator performance presented. Further improvements and control software for on-sky observations discussed based on the results obtained during engineering observations. An overview of the requirements, the final control method, and the structure of its control software is shown. Control limitations and accepted solutions that might be useful for development of other instrument's image derotators presented.
The Effect of Spatial Position on the Aerodynamic Interactions between Cyclists

Abstract Aerodynamic drag contributes the majority of the resistance acting on elite cyclists. At speeds of 50 km/h, over 90% of an athlete's power output is expended overcoming drag. As a result, reducing the drag of cyclists significantly improves their performance. To date research on cycling aerodynamics has primarily focused on a single rider, despite the fact that many cycling events are mass start or team based, which necessarily involve athletes travelling in close proximity. Fundamental investigations of multiple less complex bluff bodies have shown strong aerodynamic interactions that significantly affect the forces they experience. Whilst practical experience has shown this to also be true for cycling, such effects are not well understood. This paper reports the results of wind tunnel experiments that measured the variation in aerodynamic drag for cyclists in various two rider formations. Both drafting and overtaking formations were investigated; being inline parallel and perpendicular to the flow respectively. Loads experienced by both riders were mapped as a function of their relative spatial position. Results show that drag and side force are strong functions of spatial position. For two riders drafting directly inline there was a maximum drag reduction of 49% for the trailing rider and over 5% for the lead rider. During overtaking a drag increase of over 6% was recorded with riders positioned side-by-side.
Towards a neural field theory for spiking neuron networks with electrical synapses

A major challenge in statistical physics, nonlinear dynamics and theoretical neuroscience over the last half century has been to understand the self-organizing principles governing the dynamics of large networks of neurons. Physicists and applied mathematicians have proposed simple mean-field descriptions of spatially-extended neural networks in terms of a relevant macroscopic observable, the firing rate. This approach has been particularly successful and so-called Neural Field Models (NFM) have become an extremely popular mathematical tool in neuroscience, physics and applied mathematics. Yet, to date, mean-field theories describe networks with chemical synapses, but it remains a major theoretical challenge to incorporate electrical synaptic interactions in such mathematical descriptions. Recently, a mean-field theory for large networks of spiking neurons has been proposed, which exactly links the dynamics of single neurons with that of two mean-field variables: The firing rate and the mean membrane potential. Remarkably, this theory permits to incorporate electrical interactions, but the mathematical derivation and the analysis of the dynamics of the first NFM is lagging. This project proposes the formal mathematical derivation of such NFM, as well as the thorough analysis of its dynamics and bifurcations. Towards this goal, at the host institution UPF in Barcelona, the ER will apply mean-field methods and nonlinear dynamical systems theory to derive the novel NFM (which we conjecture is of reaction-diffusion type). During a secondment at VU Amsterdam, the ER will be trained to become an expert in numerical analysis of partial differential equations, which will further allow him to perform extensive state-of-the-art computer simulations. The expected results will provide completely novel mechanistic insights on the emergence of complex spatio-temporal patterns of neuronal activity due to the intricate interplay between chemical and electrical synapses.
Role of XmnIgG Polymorphism in Hydroxyurea Treatment and Fetal Hemoglobin Level at Isfahanian Intermediate β-Thalassemia Patients.

β-thalassemia is the most common monogenic disorder in human. The (C-->T) polymorphism at -158 upstream region of the γG-globin gene and pharmacological factors such as hydroxyurea have been reported to influence γ-globin gene expression and the severity of clinical symptoms of β-thalassemia.In the present study, 51 β-thalassemia intermediate patients were studied. Xmn1γG polymorphism genotype was determined using Tetra-Primer ARMS-PCR technique. Hemoglobin (Hb) and fetal hemoglobin (HbF) levels were determined by gel electrophoresis.Of 51 patients, 35 (68.6%) patients were heterozygous (CT) and 16 (31.4%) patients were homozygous (CC). Of 30 patients under treatment by hydroxyurea, 20 (66.7%) patients were heterozygous (CT) and 10 (33.3%) patients were homozygous (CC). Our results demonstrated that in the heterozygous (CT) genotype, the Hb (9.58 ± 1.25 gm/dl) and HbF (89.30 ± 21.87) levels were significantly higher in comparison with homozygous (CC) genotype (7.94 ± 1.34 gm/dl and 70.32 ± 40.56, respectively). Furthermore, we observed that after drug usage, the Hb and HbF levels in patients with heterozygous (CT) genotype (0.7 ± 1.26 gm/dl and 5.95 ± 14.8, respectively) raised more in comparison with homozygous (CC) genotype (0.26 ± 1.43 gm/dl and 0.8 ± 1.31, respectively).Hb and HbF levels in the patients carrying T allele are increased significantly, and they also response to hydroxyurea treatment.
PROCESS FOR INCREASING LIQUID EXTRACTION FROM FABRICS

The present invention relates to a process of increasing liquid extraction from fabrics having a first liquid content through the use of a mechanical extraction means and a liquid extraction agent.
Do droughts self-propagate and self-intensify?

Droughts cause agricultural loss, forest mortality and drinking water scarcity. Their predicted increase in recurrence and intensity poses serious threats to future global food security. Several historically unprecedented droughts have already occurred over the last decade in Europe, Australia and the USA. The cost of the ongoing Californian drought is estimated to be about US$3 billion. Still today, the knowledge of how droughts start and evolve remains limited, and so does the understanding of how climate change may affect them.

Positive feedbacks from land have been suggested as critical for the occurrence of recent droughts: as rainfall deficits dry out soil and vegetation, the evaporation of land water is reduced, then the local air becomes too dry to yield rainfall, which further enhances drought conditions. Importantly, this is not just a 'local' feedback, as remote regions may rely on evaporated water transported by winds from the drought-affected region. Following this rationale, droughts self-propagate and self-intensify.

However, a global capacity to observe these processes is lacking. Furthermore, climate and forecast models are immature when it comes to representing the influences of land on rainfall. Do climate models underestimate this land feedback? If so, future drought aggravation will be greater than currently expected. At the moment, this remains largely speculative, given the limited number of studies of these processes.

I propose to use novel in situ and satellite records of soil moisture, evaporation and precipitation, in combination with new mechanistic models that can map water vapour trajectories and explore multi-dimensional feedbacks. DRY-2-DRY will not only advance our fundamental knowledge of the mechanisms triggering droughts, it will also provide independent evidence of the extent to which managing land cover can help 'dampen' drought events, and enable progress towards more accurate short-term and long-term drought forecasts.
From gwas to functional studies: tackling the complex nature of brain disorders

Genome-wide association studies (GWAS) of unprecedented sample size have recently provided robust insight into the polygenic architecture of many different brain disorders. Despite this exciting potential, GWAS results have rarely translated into mechanistic disease insight. This is because the detected genetic effects are small and numerous, and hardly ever directly actionable for functional follow-up. In addition, the polygenic nature of brain disorders comes with large genetic heterogeneity, where different patients with the same disorder may carry completely different combinations of genetic risk variants, possibly corresponding to different etiological mechanisms, requiring different treatment regimens.  To benefit from GWAS, extensive biological interpretation and insight into genetic heterogeneity is needed. In this ERC I will develop much needed tools for (i) extensive biological interpretation at cellular resolution and (ii) assessing genetic heterogeneity, both aimed at formulating hypotheses that take into account the polygenic nature of brain disorders and can be tested in functional experiments. I will apply the developed tools to a wide range of brain-related traits, providing ample starting points for functional follow-up. As a proof-of-concept I will test the viability of two neuroscientific approaches (iPSC and DREADDs) for functional follow-up of GWAS results. First, I will conduct scRNA sequencing and electrophysiological assessments on iPSC derived neurons and astrocytes from genetically selected (schizophrenia) patients and controls. Second, I will use in vivo chemogenetic manipulation to target specific cell types that have been implicated by GWAS (for insomnia). The primary goal of this proposal is to bridge the gap between GWAS and function. The results will facilitate the translation of GWAS findings for brain disorders into functional mechanisms that are biologically important in disease pathogenesis and, ultimately, treatment design.
Beneficial microorganisms for soybean (Glycine max (L.) Merr), with a focus on low root-zone temperatures

Heightened interest in biologically-based methods of raising crop yields has driven research into beneficial microorganisms that can be used to improve crop growth and productivity. This review addresses the potential of rhizobia, vesicular-arbuscular mycorrhizae (VAM), and plant-growth-promoting rhizobacteria to improve growth of soybean (Glycine max (L.) Merr) under temperate conditions. Mechanisms of action of beneficial microorganisms and considerations for utilization at all root-zone temperatures (RZTs) are reviewed. Subsequent sections address current knowledge on the inhibition of soybean growth at low RZTs and the potential of beneficial microorganisms to alleviate low temperature stress. The three categories of beneficial microorganisms discussed differ in their modes of action and have shown potential for additive or synergistic growth promotion of soybean at all RZTs. At low RZT, pot and field studies have identified strains of rhizobia and PGPR, as well as certain phytohormones, that ameliorate the inhibitory effects of cold stress on soybean growth through a variety of mechanisms. Wider use of these treatments could aid the expansion of soybean cultivation in cold climates.
Deploying Suitable Countermeasures to Solve the Security Problems within an E-learning Environment

In earlier works, we present the quantification of security threats of e-learning systems using an economic measure abridged by MFC (Mean Failure Cost). It allows an analyst to estimate the security of a system in terms of the loss that each stakeholder stands to sustain as a result of security breakdowns. This paper provides an understanding of the security problems and risks related to e-learning systems. Then to control the MFC matrix, in particular its first matrix (the stake matrix) and to reduce its values we propose a classification of security problems versus the security requirements taxonomy of the MFC cyber-security model. The strength of the paper is in designing and deploying security measures and solutions to requirements.
Alternative Technique reducing complexity of Maximum Attribute Relation

Clustering refers to the method grouping the large data into the smaller groups based on the similarity measure. Clustering techniques have been applied on numerical, categorical and mix data. One of the categorical data clustering technique based on the soft set theory is Maximum Attribute Relation (MAR). The MAR technique allows calculating all of pair multi soft set made. However, the computational complexity is still an issue of the technique. To overcome the drawback, the paper proposes the alternative algorithm to decrease the complexity so get the faster response time. In this paper, to get the similar results as MAR without calculating all pair of soft set is proved. The alternative algorithm is implemented in MATLAB Software, and then experimental is run on the 10 benchmark datasets. The results show that the alternative algorithm improves the computational complexity in term of response time up to 36.46%
Empirical Research in Colombian Services Sector: Relation between Transformational Leadership, Climate and Commitment

The objective of this study is to analyze the relationship between the variables of transformational leadership, climate and commitment in a sample of 319 workers of a multinational organization in the Colombian Services Sector. For data collection, we used the Multifactor Leadership Questionnaire (MLQ), the climate/culture questionnaire FOCUS-93 and the Intellectual, Social and Affective Commitment Scale (ISA). Data were processed with SPSS 23 and AMOS 22 for modeling with structural equations. In the path diagram, calculated according to the indicators of structural adjustments, variances were obtained for the dimensions of organizational commitment. The resulting model presented favorable adjustment indicators as evidenced in the results, and the relationship between commitment and climate was significant (β = 4.61; p = 0.001), as well as between climate and commitment (β = 0.018; p = 0.001). However, the relationship between transformational leadership and commitment was not direct but mediated through organizational climate.
Reaction wood – a key cause of variation in cell wall recalcitrance in willow

The recalcitrance of lignocellulosic cell wall biomass to deconstruction varies greatly in angiosperms, yet the source of this variation remains unclear. Here, in eight genotypes of short rotation coppice willow (Salix sp.) variability of the reaction wood (RW) response and the impact of this variation on cell wall recalcitrance to enzymatic saccharification was considered.A pot trial was designed to test if the 'RW response' varies between willow genotypes and contributes to the differences observed in cell wall recalcitrance to enzymatic saccharification in field-grown trees. Biomass composition was measured via wet chemistry and used with glucose release yields from enzymatic saccharification to determine cell wall recalcitrance. The levels of glucose release found for pot-grown control trees showed no significant correlation with glucose release from mature field-grown trees. However, when a RW phenotype was induced in pot-grown trees, glucose release was strongly correlated with that for mature field-grown trees. Field studies revealed a 5-fold increase in glucose release from a genotype grown at a site exposed to high wind speeds (a potentially high RW inducing environment) when compared with the same genotype grown at a more sheltered site.Our findings provide evidence for a new concept concerning variation in the recalcitrance to enzymatic hydrolysis of the stem biomass of different, field-grown willow genotypes (and potentially other angiosperms). Specifically, that genotypic differences in the ability to produce a response to RW inducing conditions (a 'RW response') indicate that this RW response is a primary determinant of the variation observed in cell wall glucan accessibility. The identification of the importance of this RW response trait in willows, is likely to be valuable in selective breeding strategies in willow (and other angiosperm) biofuel crops and, with further work to dissect the nature of RW variation, could provide novel targets for genetic modification for improved biofuel feedstocks.
Planning for Environment and Resource eFficiency in European Cities and Towns

The socio-economic and environmental services provided by the protection, development and exploitation of natural heritage in urban areas are collectively known across Europe as ‘green infrastructure’ and the aim of the PERFECT project is to improve the implementation of regional development policies for the protection and development of natural heritage through the recognition of the multiple benefits of Green Infrastructure by Managing Authorities, partners and stakeholder groups.  
In 2013 the European Commission adopted a strategy which recognised that investment in Green Infrastructure enables nature to deliver benefits to ecosystems and to people, including health and quality of life, that are key to driving jobs and growth while tackling our environmental challenges head on. In addition, EU Structural Funding programmes encourage the improved resource efficiency of natural heritage but, despite extensive proven good practices and growing evidence from across Europe, many Managing Authorities, practitioners and politicians, working in the municipalities and public bodies responsible for natural heritage, are unaware of the multi benefits of Green Infrastructure to increase competitiveness. Investment in natural heritage is often overlooked or misunderstood and the PERFECT project aims to redress the balance and raise awareness of the value of the natural heritage through the exchanges of good practice, study visits and peer-to-peer working. PERFECT partners will work with regional stakeholders and inter-disciplinary teams within their organisations to identify and integrate the multi-use of Green Infrastructure into long-term policies and practices, and crucially, investments. 
PERFECT outputs will include 7 Action Plans for new and improved GI through maximising its multiple benefits; Expert Paper and Factsheets; Guidance on Green Infrastructure Partnership working, and a MAGIC (Multi-Advantages of Green Infrastructure in Cities) Matrix of good practices.
System-on-Chip Design and Implementation

The system-on-chip module described here builds on a grounding in digital hardware and system architecture. It is thus appropriate for third-year undergraduate computer science and computer engineering students, for post-graduate students, and as a training opportunity for post-graduate research students. The course incorporates significant practical work to illustrate the material taught and is centered around a single design example of a drawing machine. The exercises are composed so that students can regard themselves as part of a design team where they undertake the complete design of their own particular section of the system. These design tasks range from algorithmic specification and transaction-level modeling (TLM) of the architecture down to describing the design at the register transfer level (RTL) with subsequent verification of their prototype on a field-programmable gate array (FPGA). With this approach, students are able to explore and gain experience of the different techniques used at each level of the design hierarchy and the problems in translating to the next level down. Throughout the module, there is emphasis on using industry standard tools for the modeling and simulation, leading to the use of the SystemC and Verilog hardware description languages and Cadence for the simulation environment.
Optimized 3D mapping of a large area with structures using multiple multirotors

This paper presents an optimized method to employ a team of multirotors for collecting images to generate a 3D map of an area with emphasis on special features (e.g. man-made structures) and areas of avoidance. When an area is too large to be mapped by one multirotor within its battery life, then either several flights or several multirotors need to be employed to complete the job. This paper introduces a method for equitably dividing the task of collecting images utilizing multiple vehicles to map a large area with man-made structures, which need to be mapped with high resolution. First, the number of vehicles or flights required must be determined and then the special features within the area that require more time must be considered. A parallel flood fill algorithm incorporating game theory is used to determine the best way to divide the tasking.