SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Activity Prioritization to Focus the Control Task Analysis

We describe a structured method for decreasing the gap between cognitive work analysis (CWA) and sociotechnical systems design within industrial contexts. Key to closing this gap is reducing the volume of data collected during initial CWA stages so as to focus further development effort on the key determinants of system performance. The goal of the current study was to develop a method to accompany control task analysis (ConTA; and associated contextual activity templates [CATs]). The method developed, “activity prioritization,” involved a multifaceted procedure for prioritizing activities to identify each activity’s overall impact on system performance. Using three key values, each activity receives a priority score that is ordered to create an activity priority list. For the prioritization, the functions described in the CAT were the purpose-related functions identified via a work domain analysis of long haulage trucking. The method described was used to guide development of highly automated trucks within a recently completed industrial project (methods for designing future autonomous systems [MODAS]).
Genome, environment, microbiome & metabolome in autism: an integrated multi-omic systems biology approach to identify biomarkers for personalized treatment and primary prevention of autism spectr

GEMMA will be the first project to combine a multi-omic approach with robust environmental data to exploit the analysis of the composition and function of the microbiome for personalized treatment and, ultimately, disease interception in infants at risk of Autistic Spectrum Disorders (ASD) . 
The project will provide solid mechanistic evidence of the disease onset and progression in relation to dynamic changes in abnormal gut microbiota causing epigenetic modifications controlling gut barrier and immune functions, based on the in-depth evaluation of 600 infants at risk observed from birth and followed over time. These data will be integrated with pre-clinical studies to mechanistically link human microbiota composition/function with clinical outcome through humanized murine models transplanted with stools obtained from the ASD proband patient of recruited families.
The project will support novel personalized prediction (personalized treatment) and disease interception (prevention) approaches that attempt to modulate gut microbiota to re-establish/maintain immune homeostasis. The biomarkers identified in this project will contribute to a better understanding of the pathogenesis of ASD in at-risk children and the possibility to manipulate the microbiota through pre/pro/symbiotic administration for prevention and treatment, a complete paradigm shift in ASD pathogenesis and early intervention. 
The identification of specific ASD metabolic phenotypes will further aid to define biomarkers that can be used as diagnostic tools and patient stratification models for other conditions in which the interplay between genome, microbiome and metabolic profile has been suspected or proved.
Finally, the project will collect biospecimens from a cohort of 600 infants as risk of ASD observed from birth, generating a unique biobank of 16,000+ blood, stool, urine and saliva samples prospectively collected that can be exploited in future multiomic studies.
Error concealment using joint multiple description Lloyd-max quantization and network coding

Multiple Description Coding (MDC) is a useful source coding method for concealing error in lossy networks. Network coding (NC) permits intermediate nodes within a network to apply algebraic mathematic process on independent streams in transmitter and receiver. This paper attempts to protect data and conceal errors happen in the network by joining MDC and p-cycle NC. First, input data (image) is zero padded and downsampled to four subimages. Then Wavelet and Lloyd-max quantization is applied to subimages. Later, four compressed and coded descriptions are transmitted through network and p-cycle network coding is applied to them in the network. Any lost description can be recovered exactly at the receiver part. In this method, no feedback system is needed. Results show that in the fixed bit rate, the PSNR (Peak Signal to Noise Ratio) of our reconstructed image and also subjective evaluation is better than previous work. Furthermore, proposed method has high throughput compared to another work.
SYSTEM FOR PRODUCING CEMENT AND PRODUCTION METHOD

[Subject] To provide a cement manufacturing apparatus and the like capable of increasing quantity of fly ash used in the apparatus while controlling unburned carbon content in cement within a permissible range. [Means for Solution] The cement manufacturing apparatus and the like comprises a removal means for removing unburned carbon from gypsum, and a grinding means for grinding gypsum from which unburned carbon is removed by the removal means together with clinker to generate cement. With the apparatus, total unburned carbon content in cement can be reduced, and the quantity of fly ash used in the apparatus can be increased by the reduced amount of unburned carbon. The removal means can remove unburned carbon contained in gypsum as well as unburned carbon contained in fly ash, and the grinding means may grind the fly ash from which unburned carbon is removed together with the gypsum, from which unburned carbon is removed, and clinker. The removal means may simultaneously remove unburned carbon contained in gypsum and unburned carbon contained in fly ash.
Indolic secondary metabolites protect Arabidopsis from the oomycete pathogenPhytophthora brassicae

The model plant Arabidopsis thaliana contains a large arsenal of secondary metabolites that are not essential in development but have important ecological functions in counteracting attacks of pathogens and herbivores. Preformed secondary compounds are often referred to as phytoanticipins and metabolites, that are synthesized de novo in response to biotic stress are known as phytoalexins. Camalexin is the typical phytoalexin of Arabidopsis. It has antimicrobial activity towards some pathogens and was shown to be an important component of disease resistance in several plant pathogen interactions. Glucosinolates (GS) are characteristic phytoanticipins of the Brassicaceae family including Arabidopsis. GS are best known as repellents or attractants for herbivorous insects and their predators whereas their antimicrobial potential has received relatively little attention. The GS are glucosides and the biologically active aglycone is released upon biotic stress by glucohydrolase enzymes commenly called myrosinases. Because an Arabidopsis mutant susceptible to the oomycete pathogen Phytophthora brassicae shows a partial deficiency in both camalexin and iGS accumulation we became intrigued by the role of these secondary compounds in disease resistance. Our results show that disease resistance of Arabidopsis to P. brassicae is established by the combined action of iGS and camalexin.
Developing Regional Actions to Promote SMEs in Health Sector and Stimulate Economic Growth

Ageing population, safeguarding a healthy workforce, and an emerging demand for quality and highly professional health services have boosted the significance of the health sector. The health sector absorbs large amounts of labour, commodities and research and thus creates incomes, which in turn flow back into the economic cycle of locations, regions and the overall economy. Within regions, health sector spending ranges from 5.5% to over 11% of regional GDP. This is a significant level of economic activity. But it is not optimized to positively contribute to regional development agendas. 
SMEs are the main origins of innovation in the health sector, and are catalysts of growth and competitiveness. As such their needs must be considered when drawing up successful EU and regional policies for health and industry. This is the competence of regional/local public authorities providing health services and developing the sector in their regions.
Aware of this responsibility and in need of
workable, innovative solutions in this field, Municipality of Debrecen launched this initiative and joined forces with regions setting the OVERALL OBJECTIVE to improve the effectiveness of regional development policies regarding the operational environment of local/regional economic players within the health sector and promote their cooperation in order to exploit the growth and innovation potential of the sector.
They have jointly identified the most challenging barriers of SMEs’ development in their regions, and will work along the following SUB-OBJECTIVES to:
1. Explore and develop new models to improve the cooperation infrastructure between all players of the health sector, and find solutions for regulatory problems hindering commercialisation of new technologies.
2. Explore options to ease the access of SMEs to finance and the design of innovative, sector-specific financial schemes.
3. Explore the options to improve management skills of SMEs and transfer know-how on available
training programmes.
Objectives will be accomplished by an integrated approach, with the involvement of relevant stakeholders and capitalizing on partners’ experiences and know how, exploiting complementarities in the best possible way. 
Project ACTIONS and their OUTPUTS (State of Play Reports,  Collection of Good Practices,  Thematic Workshops, Master Class,  Comprehensive Implementation Plans, policy recommendations) will directly contribute to the achievement of these objectives. The project will increase the pace of innovation in regional policy in all involved regions, create better and more standardized solutions which can be implemented in other European locations.
The PARTNERSHIP includes 11 partners, representing 4 old and 4 new Member States. Partners are local and regional authorities, public bodies and knowledge institutes with experience in health sector development plans and policies and with capacity to ensure direct continuity of the project results.
Collective awareness platform for outdoor air pollution

The overall objective of hackAIR is to develop and pilot test an open platform that will enable communities of citizens to easily set up air quality monitoring networks and engage their members in measuring and publishing outdoor air pollution levels, leveraging the power of online social networks, mobile and open hardware technologies, and engagement strategies. The hackAIR platform will enable the collection of data from: 
• measurements from existing air quality stations and open data
• user-generated sky-depicting images (either publicly available geo-tagged and time-stamped images posted through social media platforms, or images captured by users
• low-cost open hardware devices easily assembled by citizens using commercial off-the-shelf parts
A data fusion algorithm and reasoning services will be developed for synthesising heterogeneous air quality data into air quality-aware personalised services to citizens.
The hackAIR platform will be co-created with the users, and offered through:
• a web application that communities of citizens will be able to install and customize
• a mobile app that citizens can use to get convenient access to easy-to-understand air quality information, contribute to measurements by an open sensor, or by taking and uploading sky-depicting photos, and receive personalised air quality-aware information on their everyday activities
The hackAIR platform will be tested in two pilot locations, with the direct participation of a grassroots NGO with >400.000 members and a health association with >19.000 members. Appropriate strategies and tools will be developed and deployed for increasing user engagement and encouraging behavioural change. The usability and effectiveness of the hackAIR platform, and its social and environmental impact will be assessed. A sustainability and exploitation strategy will pave the way for the future availability of the hackAIR toolkit, community and website, and explore opportunities for commercial exploitation.
Plant lipidome remodelling during cold acclimation

Extremely low temperatures influence plant development and crop productivity. Therefore, plants have evolved mechanisms to enhance tolerance to freezing (cold acclimation) involving physiological and biochemical modifications. A key side of this process is the biosynthesis and delivery mechanisms of the newly synthesized lipid species towards the appropriate subcellular membranes. Previous studies in Prof Botella´s lab (supervisor) have demonstrated that Arabidopsis SYT1 (Synaptotagmin 1) is an ER-PM (endoplasmic reticulum – plasma membrane) tether component essential for freezing tolerance, and they have characterized SYT3, a novel component of cold-acclimation. The research objective of this proposal is to determine the role that SYT1 and SYT3 have on lipid homeostasis related to cold acclimation at the cellular level, using a combination of mutant analysis, cellular biology, lipidomics and biochemical approaches. Additionally, the findings could have future applications since freezing temperatures are limiting the geographical locations for growing crop plants and periodically account for significant losses in plant productivity in Europe.
Dr Ruiz-Lopez (researcher) has wide experience in Plant Lipids. In recent years she has successfully worked in the UK, in one of the world’s leading groups for plant lipids research. Moreover, the host group is one of the world-leading groups in plant responses to abiotic stress research. Their collective expertise represents a very strong team with a proven track-record to conduct world-class research. In addition, secondments are planned to carry out the most advanced lipidomic analysis. This inter-disciplinary Fellowship will exploit the complementary competencies and technologies available at the host to broaden the skills of the researcher, particularly in microscopy, proteomics and management skills, and will also increase the sharing of knowledge and technology transfer between the participant institutions.
QUERY PERFORMANCE PREDICTION FOR MULTIFIELD DOCUMENT RETRIEVAL

An embodiment for predicting a performance of a query in retrieving multifield documents is provided. The embodiment may include receiving a query from a user. The embodiment may also include retrieving a list of multifield documents from a corpus of documents in response to the query. The embodiment may further include generating a pseudo-effective (PE) reference-list for each field in the corpus of documents. The embodiment may also include executing one or more existing query performance prediction (QPP) methods on the retrieved list and each generated PE reference-list. The embodiment may further include deriving one or more extended QPP methods. The embodiment may also include estimating a performance of the query in obtaining the retrieved list of multifield documents based on the one or more extended QPP methods.
Dielectric properties and study of AC electrical conduction mechanisms by non-overlapping small polaron tunneling model in Bis(4-acetylanilinium) tetrachlorocuprate(II) compound

Abstract In the present work, the synthesis and characterization of the Bis(4-acetylanilinium) tetrachlorocuprate(II) compound are presented. The structure of this compound is analyzed by X-ray diffraction which confirms the formation of single phase and is in good agreement the literature. Indeed, the Thermo gravimetric Analysis (TGA) shows that the decomposition of the compound is observed in the range of 420–520 K. However, the differential thermal analysis (DTA) indicates the presence of a phase transition at T =363 k. Furthermore, the dielectric properties and AC conductivity were studied over a temperature range (338–413 K) and frequency range (200 Hz–5 MHz) using complex impedance spectroscopy. Dielectric measurements confirmed such thermal analyses by exhibiting the presence of an anomaly in the temperature range of 358–373 K. The complex impedance plots are analyzed by an electrical equivalent circuit consisting of resistance, constant phase element (CPE) and capacitance. The activation energy values of two distinct regions are obtained from log  σT vs 1000/ T plot and are found to be E =1.27 eV ( T E =1.09 eV (363 K T ).The frequency dependence of ac conductivity, σ ac , has been analyzed by Jonscher's universal power law σ ( ω )= σ dc + Aω s . The value of s is to be temperature-dependent, which has a tendency to increase with temperature and the non-overlapping small polaron tunneling (NSPT) model is the most applicable conduction mechanism in the title compound.
New approaches on dimensionality reduction in hyperspectral images for classification purposes

This paper presents a quasi-unsupervised methodology to detect endmembers within an hyperspectral scene and to derive a pixel-wise classification on its basis. The endmember detection step takes as input an overcomplete spectral library, and detects the materials within a scene by analyzing derivative features under the sparsity assumption. The purest pixels for each detected material are then fed to a classifier based on synergetics theory, which is able to produce accurate classification maps on the basis of a restricted training dataset. As the classifier projects the image onto a subspace composed by the classes of interest found in the first step, a focused dimensionality reduction is performed in which every dimension is semantically meaningful.
Confirmatory factor analysis of the Early Arithmetic, Reading, and Learning Indicators (EARLI)

Despite growing interest in early intervention, there are few measures available to monitor the progress of early academic skills in preschoolers. The Early Arithmetic, Reading, and Learning Indicators (EARLI; DiPerna, Morgan, & Lei, 2007) were developed as brief assessments of critical early literacy and numeracy skills. The purpose of the current study was to examine the factor structure of the EARLI probes via confirmatory factor analysis (CFA) in a sample of Head Start preschoolers (N=289). A two-factor model with correlated error terms and a bifactor model provided comparable fit to the data, although there were some structural problems with the latter model. The utility of the bifactor model for explaining the structure of early academic skills as well as the utility of the EARLI probes as measures of literacy and numeracy skills in preschool are discussed.
Species diversity and community structure in sal (Shorea robusta) forests of two different rainfall regimes in West Bengal, India

Knowledge on the structure and composition of the plant communities has enormous significance in conservation and management of forests. The present study aimed to assess the community attributes, viz., structure, composition and diversity in the moist and dry sal (Shorea robusta) forests in the West Bengal province of India and compare them with the other sal forests of India. The phytosociological data from these forests were quantitatively analysed to work out the species richness, diversity, evenness, dominance, importance value, stand density and the basal area. The analysis showed that plant richness and diversity in moist sal forests of northern West Bengal are higher than the dry sal forests of south-west Bengal; a total of 134 tree (cbh C30 cm), 113 shrub and 230 herb species were recorded in the moist sal forest compared to 35 tree, 41 shrub and 96 herb species in dry sal forest. Papilionaceae was observed to be the dominant family. Dry sal forests had higher tree dominance (0.81) and stand density (1,006 stems ha -1 ) but lower basal area (19.62 m 2 ha -1 ) while moist sal forest had lower tree dominance (0.18) and stand density (438 stems ha -1 ) but higher basal area (56.52 m 2 ha -1 ). Tree species richness and stem density across girth classes in both the types decreased from the smallest to largest trees, while the occurrence rate of species increased with increase in girth class. A t-test showed significant differences in species richness, basal area and the stand density at 95% confidence level (p = \0.05) in the two forest types. The CCA indicated very low overall match (canonical correlation value = 0.40) between the two sets of variables from moist and dry sal types. The differences in these forests could be attributed to the distinct variations in climatic conditions- mainly the rainfall, disturbance regimes and the management practices.
Improving electricity supply security in Ghana—The potential of renewable energy

For decades, Ghana’s economy has been fuelled by abundant inexpensive hydropower. As a developing economy, Ghana’s electricity demand has long been relatively low, though rising in recent times due to increasing economic growth, urbanization and industrial activities. However, the rapid demand growth, as well as periodic hydrological shocks, leaves the country increasingly reliant on expensive oil and gas-based generation power plants, with a resultant drain on the national economy. The main electricity generation company, the Volta River Authority, is not able to generate enough electricity for all the demand sectors. The electricity supply-demand margins - the difference between peak demand and available supply - of the country fall short of the recommended engineering practice and thus presents a high supply security risk. The country has been experiencing an increase in the frequency of power cuts over the last ten years. It is clear that Ghana will have to expand and diversify its generation capacity in order to improve supply security. This paper provides a review of the assessed potential renewable energy resources, their current exploitation status, and their potential contribution to the electricity supply of the country. The paper also presents the barriers to their utilization and the existing policy and regulatory instruments to overcome those barriers, plus the current and expected future impacts of these instruments. The results show that Ghana has several RES, such as wind, solar PV, mini hydro and modern biomass that can be exploited for electricity production. While their exploitation for electricity generation is currently very low, providing just 0.13% of the country’s generation, the review shows a great potential for RES generation to increase substantially over the next decade, looking at the government commitment and legal frameworks that are being put in place.