SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Research into Teachers' Receptivity for Arts Infused Curricula in Taiwan

The main purpose of this study was to understand the common attitudes and behaviours of teachers in Taiwan with regard to the implementation of arts infused curricula, as well as the individual problems these teachers encounter. From these results, we extracted reference data for the benefit of schools and policymakers in promoting arts infused curricula. The model of receptivity theory and the interrelated factors of influence shown therein were particularly useful in interpreting the attitudes and behaviours of teachers with regard to arts infused education. Teacher receptivity theory is usually applied to measure the relationships between the implementation of a new curriculum and the attitudes/viewpoints of teachers with regard to the new curriculum. With the aid of teacher receptivity theory, this study explored the difficulties and obstacles faced by teachers when implementing arts infused curricula, as well as the attitudes, behavioural intentions and considerations of these teachers. The methodology of this study included both a review of the literature and in-depth interviews. Using the interview data, this research compiled 16 key factors of consideration for teachers with regard to arts infused curricula. These factors influence the attitudes and behaviour of teachers in relation to these curricula.
Antioxidant and Free Radical Scavenging Capacity of Extensively Used Medicinal Plants in Sri Lanka

The burden of chronic diseases is rapidly increasing worldwide. Diet and nutrition are important factors in the promotion and maintenance of good health throughout the entire life course. Physiological and biochemical alterations in the human body may result in overproduction of free radicals leading to oxidative damage to biomolecules (e.g. lipids, proteins, DNA). Use of medicinal plant based products has increased recently because of their exerted beneficial properties such as antioxidant, anticancer, hypoglycaemic and hypolipidaemic activities. The present study was designed to assess the in vitro antioxidant activity and free radical scavenging capacity of ten medicinal plants which are extensively used in the Ayurvedic treatment systems in Sri Lanka. Water extracts were prepared and evaluated for their free-radical scavenging capacity and antioxidant activity using a number of chemical assays; DPPH, ABTS and FRAP. The total Phenolic (TPC) and Total Flavonoid Content (TFC) were also assessed. The TPC and TFC values of the extracts varied from 295.94±3.65 – 5.22±0.08 (mg Gallic Acid Equivalent (GAE)/g dry weight) and 115.01±1.69 – 0.97±0.002 (mg Catechin Equivalent (CE)/g dry weight) respectively. The DPPH and ABTS radical scavenging activities were higher for the Nelli (Phyllanthus emblica) extract while the least activity was observed in Venivel (Cosciniumfenestratum) extract. The FRAP activity of the extracts was well proved with the DPPH and ABTS radical scavenging activities. A positive, significant linear relationship between antioxidant activity and TPC and TFC content showed that phenolic compounds and flavonoids were the dominant antioxidant components in the medicinal herbs studied.
Quality of jobs and innovation generated employment outcomes

The EU is facing long-term structural challenges compounded by the recent economic crisis. More and better jobs are needed to lower unemployment, raise the employment participation rates of female, older, migrant, low-skilled and young workers and thus tackle social exclusion and inequality. The EU’s growth strategy, Europe 2020, wants smart, sustainable and inclusive growth, with innovation and job quality as flagship initiatives. Innovation and job quality are however currently treated separately but ought to be better integrated in policy and workplace practice. Research that can lever this to mutually boost innovation and job quality is needed.
QuInnE contributes to the EU growth strategy of boosting innovation, job quality and employment by exploring the mutually reinforcing relationship between innovation and job quality and identifying mechanisms that can be accelerated to deliver both more and better jobs, which in turn help tackle social exclusion and inequality.
QuInnE creates a new analytical framework of for understanding the relationship between innovation and job quality and that relationship’s impact on employment. This framework is then used to statistically analyse existing datasets to create a typology of innovation-job quality dynamics by industry and country. The analysis is then extended to assess how different types of relationships create jobs, and provide jobs that are accessible and sustainable for groups of workers currently struggling in the labour market, and reduce social inequalities by age, class and gender. QuInnE then explores how the innovation-job quality dynamic creates more and better jobs at firm level.
There are three main outcomes: new scientific understanding of the innovation-job quality-employment dynamic; new diagnostic and developmental tools to help monitor and measure this dynamic at national level and improve that dynamic in firms and workplaces; evidence-based advice on developing policy to boost EU growth.
THREE-DIMENSIONAL FABRIC AND METHOD FOR PRODUCING

A multi-axial, three-dimensional fabric and its method of manufacture formed from five yarn systems including warp yarns (12) arranged in parallel with the longitudinal direction of the fabric, a first pair of bias yarns layers (18) positioned on the front surface of the warp yarns and a second pair of bias yarn layers (18) positioned on the back surface of the warp yarns, vertical yarns (16) arranged in a thicknesswise direction of the fabric in a perpendicularly intersecting relationship to the warp yarns, and weft yarns (14) arranged in the widthwise direction of the fabric and in a perpendicularly intersecting relationship to the warp yarns so as to provide a multiaxial, three-dimensional fabric (F) with enhanced resistance to in-plane shear.
Prediction of Carcass Composition Using Carcass Grading Traits in Hanwoo Steers

The prediction of carcass composition in Hanwoo steers is very important for value-based marketing, and the improvement of prediction accuracy and precision can be achieved through the analyses of independent variables using a prediction equation with a sufficient dataset. The present study was conducted to develop a prediction equation for Hanwoo carcass composition for which data was collected from 7,907 Hanwoo steers raised at a private farm in Gangwon Province, South Korea, and slaughtered in the period between January 2009 and September 2014. Carcass traits such as carcass weight (CWT), back fat thickness (BFT), eye-muscle area (EMA), and marbling score (MAR) were used as independent variables for the development of a prediction equation for carcass composition, such as retail cut weight and percentage (RC, and %RC, respectively), trimmed fat weight and percentage (FAT, and %FAT, respectively), and separated bone weight and percentage (BONE, and %BONE), and its feasibility for practical use was evaluated using the estimated retail yield percentage (ELP) currently used in Korea. The equations were functions of all the variables, and the significance was estimated via stepwise regression analyses. Further, the model equations were verified by means of the residual standard deviation and the coefficient of determination (R(2)) between the predicted and observed values. As the results of stepwise analyses, CWT was the most important single variable in the equation for RC and FAT, and BFT was the most important variable for the equation of %RC and %FAT. The precision and accuracy of three variable equation consisting CWT, BFT, and EMA were very similar to those of four variable equation that included all for independent variables (CWT, BFT, EMA, and MAR) in RC and FAT, while the three variable equations provided a more accurate prediction for %RC. Consequently, the three-variable equation might be more appropriate for practical use than the four-variable equation based on its easy and cost-effective measurement. However, a relatively high average difference for the ELP in absolute value implies a revision of the official equation may be required, although the current official equation for predicting RC with three variables is still valid.
Lower Danube Region as a Model for Application of the Concept of Sustainable Agricultural Development

Sustainable development represents complex proces which permeates all
aspects of human society. Application of the concept of sustainable
agricultural development can lead to improvement of all natural
resources due to reduction of chemical materials and fertilizers
utilization, favoring of autochthonous plant and animal species and
development of ecological production in rural areas. Region which is
characterized by good natural preconditions for implementation of
sustainable development concept is the region of the Lower Danube.
Those precoditions are presented mainly by water potential of Danube
River and protected natural area National Park „Đerdap“ with numerous
endemic and relict species. Rational utilization of natural resources can
enable sustainable development of this area in terms of production and
services (agriculture, ecological food production, products with
geographical indication, tourism, hospitality etc.). In this paper authors
analyzed the state of main natural resources in the region of Lower
Danube with the accent on biodiversity, land and water resources and
their management. The authors gave directions for possible sustainable
development of this area, with focus on rural areas and agricultural
production.
Increasing access to kidney transplantation for sensitized recipient through three-way kidney paired donation with desensitization: The first Indian report

The combination of kidney paired donation (KPD) with desensitization represents a promising method of increasing the rate of living donor kidney transplantation (LDKT) in immunologically challenging patients. Patients who are difficult to match and desensitize due to strong donor specific antibody are may be transplanted by a combination of desensitization and KPD protocol with more immunologically favorable donor. We present our experience of combination of desensitization protocol with three-way KPD which contributed to successful LDKT in highly sensitized end stage renal disease patient. All recipients were discharged with normal and stable allograft function at 24 mo follow up. We believe that this is first report from India where three-way KPD exchange was performed with the combination of KPD and desensitization. The combination of desensitization protocol with KPD improves access and outcomes of LDKT.
PANEL STRUCTURE

A panel structure (10) and a method of forming the panel structure (10) are disclosed. The panel structure (10) typically includes at least one panel (12) associated with a material (16). The panel structure (10) has been found particularly advantageous for use as an interior panel of an airplane.
Polymer solvation with cosmo-rs

SCM is a scientific software company with a track record of over two decades of translating scientific advances into commercial success. The company’s strength has traditionally lied in electronic structure methods, its flagship product being the well-known ADF package. In recent years SCM has been broadening its scope to add approximate, faster methods. One of such methods is the COnductor-like Screening MOdel for Realistic Solvation, COSMO-RS, a powerful continuum solvation model.
COSMO-RS is able to predict thermodynamic properties in solutions in an efficient and general way, and has proven to be one of the modules with the fastest-growing demand within SCM’s portfolio – the company’s revenues from COSMO-RS have increased almost 130% over the last two years. COSMO-RS is therefore a key component of SCM’s growth strategy.
However, our COSMO-RS implementation has one important limitation, as it cannot deal with molecular models above a certain size. And the ability to predict thermodynamic properties in larger molecules, and in particular polymers, is of great relevance in many areas (e.g. food packaging, coating technology, membrane separation and drug development). SCM therefore plans to extend its COSMO-RS implementation to allow for molecular models of any size, in order to increase our market share in the field of polymer chemistry.
There are several possible routes to accomplish that (such as fragment-based methods or equations of state (EOS) approaches) but they all require a level of expertise in thermodynamics and continuum models currently lacking within SCM. This is highly specialized work, which falls outside SCM’s strengths in electronic structure methods, and the company needs to recruit skills combining expertise in continuum solvation models as well as modern software development techniques.
Such developments would extend the market for SCM’s COSMO-RS implementation, allowing the company to tap into the huge market of polymer chemistry.
Investigation and identification of protein γ-glutamyl carboxylation sites

Carboxylation is a modification of glutamate (Glu) residues which occurs post-translation that is catalyzed by γ-glutamyl carboxylase in the lumen of the endoplasmic reticulum. Vitamin K is a critical co-factor in the post-translational conversion of Glu residues to γ-carboxyglutamate (Gla) residues. It has been shown that the process of carboxylation is involved in the blood clotting cascade, bone growth, and extraosseous calcification. However, studies in this field have been limited by the difficulty of experimentally studying substrate site specificity in γ-glutamyl carboxylation. In silico investigations have the potential for characterizing carboxylated sites before experiments are carried out.Because of the importance of γ-glutamyl carboxylation in biological mechanisms, this study investigates the substrate site specificity in carboxylation sites. It considers not only the composition of amino acids that surround carboxylation sites, but also the structural characteristics of these sites, including secondary structure and solvent-accessible surface area (ASA). The explored features are used to establish a predictive model for differentiating between carboxylation sites and non-carboxylation sites. A support vector machine (SVM) is employed to establish a predictive model with various features. A five-fold cross-validation evaluation reveals that the SVM model, trained with the combined features of positional weighted matrix (PWM), amino acid composition (AAC), and ASA, yields the highest accuracy (0.892). Furthermore, an independent testing set is constructed to evaluate whether the predictive model is over-fitted to the training set.Independent testing data that did not undergo the cross-validation process shows that the proposed model can differentiate between carboxylation sites and non-carboxylation sites. This investigation is the first to study carboxylation sites and to develop a system for identifying them. The proposed method is a practical means of preliminary analysis and greatly diminishes the total number of potential carboxylation sites requiring further experimental confirmation.
The Moderating Effect of Family Management on R&amp;D Productivity in Privately Held Firms

The aim of this chapter is to analyze the moderating effect of family management on the relationship between R&amp;D inputs and R&amp;D outcomes, that is, R&amp;D productivity. Using a longitudinal sample of 337 Spanish privately held manufacturing firms, the results show that in general terms, although family managed firms invest less in R&amp;D than their non-family managed counterparts, they reinforce the conversion of R&amp;D inputs into R&amp;D outcomes. Moreover, the findings reveal that the strengthening effect of family management on R&amp;D productivity is contingent upon the level of R&amp;D expenditures. Thus, this chapter contributes to shedding some light into the debate regarding innovation management in privately held family firms.
Thorough QT Studies

The International Conference on Harmonisation E14 Guidance was successful in largely standardizing the conduct of the so-called thorough QT/QTc studies (TQTS). Nevertheless, there is still a spectrum of frequently encountered problems with details of design, conduct and interpretation of TQTS. Several of these challenges are reviewed here, starting with explaining that the TQTS goal is only to identify drugs for which the proarrhythmic risk might be considered excluded for the purposes of regulatory benefit-risk assessment. Suggestions are made on how to categorize and quantify or exclude proarrhythmic risk if the TQTS is positive. There is a conceptual need for TQTS, and this is discussed, together with reasons why restricted clinical registries cannot prove the absence of proarrhythmic liability of any drug. Appropriate drug doses investigated in TQTS should be derived from the maximum clinically tolerable dose rather than from the known or expected therapeutic dose. With the help of concentration-QTc modelling, the standard therapeutic dose can be omitted from TQTS, especially if the study is expected to be negative. Conditions for single-dose TQTS acceptability are reviewed. The role of the so-called positive control is assessed, contrasting the role of a same-class comparator for the investigated drug. A single 400 mg dose of moxifloxacin is advocated as the present 'gold standard' assay sensitivity test. The necessity of careful placebo control is explained and the frequency of ECG assessments is considered. The central tendency and outlier analyses are discussed, together with the correct approaches to baseline adjustment. The review concludes that the design and interpretation of TQTS must not be approached with mechanistic stereotypes, and highlights the importance of relating the QTc changes to drug plasma levels.
Walter Garstang: a retrospective

Although, Walter Garstang died over 60 years ago, his work is still cited--sometimes praised, but sometimes belittled. On the negative side, he often appropriated ideas of others without attribution, ignored earlier studies conflicting with his theories, and clung to notions like inheritance of acquired characters, progressive evolution, and saltation after many of his contemporaries were advancing toward the modern synthesis. Moreover, his evolutionary scenarios--especially his derivation of vertebrates from a sessile ascidian--have not been well supported by recent work in developmental genetics and molecular phylogenetics. On the positive side, Garstang firmly established several points of view that remain useful in the age of evolutionary development (evo-devo). He popularized the valid idea that adaptive changes in larvae combined with shifts in developmental timing (heterochrony) could radically change adult morphology and provide an escape from overspecialization. Moreover, his re-statement of the biogenetic law is now widely accepted: namely, that recapitulation results when characters at one stage of development are required for the correct formation of other characters at subsequent stages (his stepping stone model). In other words, ontogeny creates phylogeny because some developmental features are constraints, favoring particular evolutionary outcomes while excluding others. This viewpoint is a useful basis for advancing concepts of homology and for comparing the phylogeny of ontogenies across a series of animals to ascertain the timing and the nature of the underlying ontogenetic changes.
Feasibility of anaerobic digestion on the release of biogas and heavy metals from rice straw pretreated with sodium hydroxide

The feasibility of anaerobic digestion on the release of biogas and heavy metals from contaminated rice straw pretreated with NaOH solution was studied. The results show that NaOH pretreatment can significantly boost the release of biogas and heavy metals from rice straw using anaerobic digestion. Under the optimal conditions for biomass pretreated 6% (w/w) NaOH with a solid-to-solution ratio of 1:20, total biogas and methane yields of 446.3 mL/g and 263.5 mL/g volatile solids were achieved, which were 22.18% and 41.59% higher than those of the control without NaOH pretreatment, respectively, and the release percentages of Cd, Pb, Cu, and Zn from rice straw reached 86.95-97.69%. The release of heavy metals from rice straw can contribute to both the degradation of lignin by NaOH pretreatment and the utilization/transformation of lignocellulose via anaerobic digestion. The acidification levels and total volatile fatty acid contents significantly influence on the release of heavy metals. Based on the Illumina HiSeq sequencing analysis, the dominant phyla in the biogas residues were proteolytic (Bacteroidetes) and hydrogen-producing (Firmicutes) bacteria, while the growth of Methanospirillum and Methanosaeta in anaerobically digested effluent was promoted. The results revealed that anaerobic digestion combined with NaOH pretreatment is suitable for the disposal of heavy metal-contaminated biomass.
Bring social robots into reality with the first real world leading bartender (macco)

The hospitality sector needs to balance adequately between the costs of the workforce needed for a high-quality service by confronting adequately the its Inherent problems as higher operational cost, a high staff turnover, low productivity quality and rates, lack of professionals and high volume of waste as while offering an unforgettable experience to the venue. Macco is a multitasking kiosk barman robot designed to attend in hotels or restaurants/bars, serving all kind of beverages for the venue just in front of them in the bar top and in less than a minute. Macco stands out in speed on preparation recipes, in its ability to multitasking and interacting with people in a natural language, while providing a unique experience for the customer. Our Company, Macco Robotics, work for the social acceptance of robotics as tools to augment human capabilities and to improve lives in many ways. We have been successfully implementing robotic solutions from other companies in Europe since 2015.
Projekt zur Investition einer vertikalen 5-Achsen-Multifunktionsmaschine.

Das Unternehmen investiert in eine Multifunktionsmaschine und zielt darauf ab, die Produktionseffizienz, Produktionsvorlaufzeiten, Bearbeitungsgenauigkeit und Gesamtqualität zu verbessern.
Astronomy and astrophysics with gravitational waves in the advanced detector era

With the advanced gravitational wave detectors coming on line in the next 5 years, we expect to make the first detections of gravitational waves from astrophysical sources, and study the properties of the waves themselves as tests of General Relativity. In addition, these gravitational waves will be powerful tools for the study of their astrophysical sources and source populations. They carry information that is quite complementary to what can be learned from electromagnetic or neutrino observations, probing the central gravitational engines that power the electromagnetic emissions. Preparations are being made to enable near-simultaneous observations of both gravitational wave and electromagnetic observations of transient sources, using low-latency search pipelines and rapid sky localization. We will review the many opportunities for multi-messenger astronomy and astrophysics with gravitational waves enabled by the advanced detectors, and the preparations that are being made to quickly and fully exploit them.