SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Structure and magnetic properties of Fe epitaxial thin films prepared by UHV rf magnetron sputtering on GaAs single-crystal substrates

Abstract Fe thin films were prepared on GaAs single-crystal substrates of (100) B 3 , (110) B 3 , and (111) B 3 orientations by ultra high vacuum rf magnetron sputtering. The effects of substrate orientation and substrate temperature on the film growth, the structure, and the magnetic properties were investigated. On GaAs(100) B 3 substrates, Fe(100) bcc single-crystal films are obtained at 300 °C, whereas Fe films consisting of bcc(100) and bcc(221) crystals epitaxially grow at room temperature (RT). Fe(110) bcc and Fe(111) bcc single-crystal films are respectively obtained on GaAs(110) B 3 and GaAs(111) B 3 substrates at RT–300 °C. The in-plane lattice spacings of these Fe epitaxial films are 0–9% larger than the out-of-plane lattice spacings due to accommodation of lattice mismatch between the films and the substrates. The film strain is decreased by employing an elevated substrate temperature of 300 °C. The in-plane magnetization properties are reflecting the magnetocrystalline anisotropy of bulk bcc–Fe crystal.
Saddle type vehicle

A saddle vehicle (1) comprises a head tube (11), a main frame (20) extending rearward of the head tube (11), left and right seat rails (30) which are separate from the main frame (20) and located rearward of the main frame (20), a swing arm (5) which supports a rear wheel (WR) and is supported on pivot plates (40), wherein an upper end of a shock absorber (60) is received by a cross member located between the left and right seat rails (30).
A Network of Assistive Technology for an Independent and Functional Life

NATIFLIFE provides effective technological solutions to the growing needs of independency and autonomy of elderly and people with impairments. The main project objective is the development of an innovative framework of assistive technology by a joint action between research, industrial, institutional and social sectors.  The project intends to provide End Users with autonomy, thus enabling dehospitalization, staying in places of origin and avoiding to break the bonds with families. This will reduce costs to the National Health System. The NATIFLife project will produce the following main outputs:
- The strengthening of two research centres, one in Malta and one in Catania, equipped with innovative facilities to perform joint disruptive research in the field of assistive technology. Research centres will become a reference for enterprises willing to tackle the field of assistive technology.
- The development of timely research and an integrated platform of assistive technology compliant with innovative and traditional solutions.
-The realization of two pilot demo sites, one in Malta and one in Catania, where innovative and traditional solutions can be validated by End-Users, by a strong joint efforts between Enterprises, Institutions and Research Centres. This will be the first example of a joint cross-border action to bring technology close to End-Users.
METHOD FOR THE ANTIMICROBIAL TREATMENT OF WOVEN FABRICS WITH HOT-MELT ADHESIVE COMPOSITIONS, HOT-MELT ADHESIVE COMPOSITIONS AND USE THEREOF

The invention relates to a hot-melt adhesive composition, containing at least one polyolefin component and at least two different antimicrobial active substance components, wherein the one antimicrobial active substance component is a thiohydroxamic acid derivative and the second antimicrobial active substance component is a isothiazolinone derivative and/or a benzimidazole derivative, wherein said composition can advantageously be used to coat mattress depressions and for protecting against mites.
European school of network neuroscience

Taking neuroscience from the study of individual brain regions to a network-based approach is essential for unravelling the mechanisms of cognition and behaviour and their breakdown in disorders. Network neuroscience is only at its incipient stages. Therefore, we propose an ETN for training ESRs on this emerging field and its application domains. euSNN will integrate leading European groups in network neuroscience and deliver training on knowledge and skills that enable students to pursue a successful career in this emerging field. euSNN will combine and train all approaches relevant for investigation of brain networks, including (f)MRI, M/EEG, in-vivo recordings, analysis, modelling, network modulation with optogenetics or non-invasive neurostimulation and studies on network changes in neurological disorders. The novelty of euSNN's training results from the unique combination of experimental, analysis and modelling approaches, which is amplified in a highly integrated programme that cuts across disciplines and sectors. This is in stark contrast with traditional concepts on graduate training in neuroscience, which often have been confined to a single research approach. All euSNN thesis projects focus on the key goal of identifying, analysing, and manipulating network interactions underlying cognitive and sensorimotor functions or their disturbances. Each project will operate across both academic and industrial partners in the network, giving a unique translational and application-geared orientation to the training. Exploiting intense collaborations between experimental, theoretical and clinical groups, we link basic research on large-scale brain dynamics with new pathophysiological approaches and clinical applications. Overall, euSNN will contribute to assuring Europe’s leading position in the field of network neuroscience, while giving ESRs state-of-the-art multi-disciplinary research and entrepreneurial skills.
Over-The-Counter test strip for early-stage cancer screening

Cancer is the second leading cause of death globally, causing 1 in 6 deaths. If cancer is diagnosed at early stage, it is highly likely to be treated successfully. Once it has grown and spread, therapy is vastly more difficult and costly, and survival rate drops rapidly. Screening is a vital healthcare element for early detection but suffers from burdens of cost, capacity, compliance, and detection sensitivity problems.
BiomStrip introduces a pioneering screening solution that can carry out cancer screening in the fashion of the common pregnancy tests. Building on our recent breakthrough results in biomarker validation granting TRL6 stage, we have designed a diagnostic device that is low-cost, non-invasive, accurate, can be handled by consumer, and bought over-the counter. The diagnostic method is based on detecting dysbiosis of gut microbial flora, a highly sensitive indicator of pathophysiological processes able to selectively show disease onset at super-early stage, even before histological changes are observable. The method is ultimately able to detect most cancer types and even other diseases, making it a future platform technology.
For highest scalability, fastest time-to-market, explosive growth, low resource-intensity, and minimised risk and overheads, we will license production and commercialisation to established multinational companies, keeping our focus as high-tech SME. Breast cancer will be our market entry point and other diseases will be covered subsequently form own resources.
To engineer this Workplan, a feasibility study will assess entry use cases and their markets, analyse business model and partnership options, and evaluate IPR strategies in a Strategic Business Plan.
The disruptive approach offers to transform cancer screening from top-down to bottom-up: empowering patients, gradually alleviating healthcare systems large effort and sums spent on preventive cancer diagnostics, and drastically improving therapeutical effectiveness.
A hybrid method for efficient solution of geometrically nonlinear structures

► A novel hybrid solution method is proposed for geometrically nonlinear structures. ► Each point on the equilibrium path is found directly using an optimisation process. ► The method can effectively and directly find both the limit and bifurcation points. ► The state of non-proportional loading can be considered successfully. We propose a novel hybrid method for calculating accurate responses of geometrically nonlinear structures exhibiting complex snap-through and snap-back behaviours. The proposed method employs a hybrid evolutionary-algebraic method to obtain each point of the equilibrium path, where the equilibrium is formulated generally as a minimisation problem. Genetic algorithm and Nelder–Mead simplex methods are used together as the hybrid optimiser. To obtain any arbitrary point of the equilibrium path, we only need a series of sparse matrix to vector multiplications and do not require information about previous equilibrium states, the assembly of tangent stiffness matrix, the solution of a set of system of linear equations or factorisation processes. Both primary and secondary paths can be followed. In addition, utilising the tangent stiffness matrix, this method can effectively find both the limit and bifurcation points directly. The state of non-proportional loading can also be considered successfully. Additionally, we show how to generate the solution of a structure whose geometrical and mechanical properties vary slightly, starting from the original solution. Finally, to demonstrate the efficiency and capabilities of the present approach, three examples that are well known for their complex snap-through snap-back load–deflection curves are comprehensively studied, and the results obtained are compared with those reported in the literature.
Developing nanocellulose-based recyclable flocculants for flotation harvesting of microalgae

The European market demand for biomass for feed, food, and fuel production is expected to increase to greater than €25 billion by 2050. Microalgae are an attractive and novel biomass feedstock that requires negligible arable land and resources. Yet, the small size of microalgae cells (1-10 µm) and low biomass concentration in the liquid culture medium (~1 g/L) complicate the harvesting of microalgal biomass using conventional technologies such as centrifugation or membrane filtration. It is widely believed that the harvesting of microalgal biomass could be better facilitated by aggregating small individual cells into larger aggregates using chemical flocculants via the flocculation process and then separating the flocculated biomass via gravity sedimentation. However, challenges remain, including contamination of the microalgal biomass with synthetic chemical flocculants, time-consuming separation, and high water content in the separated biomass. The combination of reversible bio-based flocculants, and fast separating and concentrated sludge yielding flotation processes can alleviate these challenges, with the added benefit of ensuring low environmental footprint and process costs. In this project, the experienced researcher (ER) aims to develop a sustainable microalgal harvesting technology that will build on and further improve reversible, low cost, bio-based flocculants derived from cellulose (developed at the host institute) in combination with his expertise on conventional and advanced dissolved air flotation (DAF) processes. This project will allow the ER to acquire novel scientific skills (synthesis, characterisation of renewable flocculants), which combined with his expertise in DAF, will allow him to create a unique niche in microalgal biotechnology specifically, and water technologies in general. It will also allow him to bring his management skills to the level required to obtain a tenure-tracked position at a leading European academic institution
Discovering Correlated Parameters in Semiconductor Manufacturing Processes: A Data Mining Approach

Data mining tools are nowadays becoming more and more popular in the semiconductor manufacturing industry, and especially in yield-oriented enhancement techniques. This is because conventional approaches fail to extract hidden relationships between numerous complex process control parameters. In order to highlight correlations between such parameters, we propose in this paper a complete knowledge discovery in databases (KDD) model. The mining heart of the model uses a new method derived from association rules programming, and is based on two concepts: decision correlation rules and contingency vectors. The first concept results from a cross fertilization between correlation and decision rules. It enables relevant links to be highlighted between sets of values of a relation and the values of sets of targets belonging to the same relation. Decision correlation rules are built on the twofold basis of the chi-squared measure and of the support of the extracted values. Due to the very nature of the problem, levelwise algorithms only allow extraction of results with long execution times and huge memory occupation. To offset these two problems, we propose an algorithm based both on the lectic order and contingency vectors, an alternate representation of contingency tables. This algorithm is the basis of our KDD model software, called MineCor. An overall presentation of its other functions, of some significant experimental results, and of associated performances are provided and discussed.
A conceptual framework modeling of functional microbial communities in wastewater treatment electro-bioreactors

Abstract Understanding the microbial ecology of a system allows linking members of the community and their metabolic functions to the performance of the wastewater bioreactor. This study provided a comprehensive conceptual framework for microbial communities in wastewater treatment electro-bioreactors (EBRs). The model was based on data acquired from monitoring the effect of altering different bioreactor operational parameters, such as current density and hydraulic retention time, on the microbial communities of an EBR and its nutrient removal efficiency. The model was also based on the 16S rRNA gene high-throughput sequencing data analysis and bioreactor efficiency data. The collective data clearly demonstrated that applying various electric currents affected the microbial community composition and stability and the reactor efficiency in terms of chemical oxygen demand, N and P removals. Moreover, a schematic that recommends operating conditions that are tailored to the type of wastewater that needs to be treated based on the functional microbial communities enriched at specific operating conditions was suggested. In this study, a conceptual model as a simplified representation of the behavior of microbial communities in EBRs was developed. The proposed conceptual model can be used to predict how biological treatment of wastewater in EBRs can be improved by varying several operating conditions.
Second- and third-trimester termination of pregnancy in women with uterine scar — a retrospective analysis of 111 gemeprost-induced terminations of pregnancy after previous cesarean delivery

This study was conducted to evaluate and analyze the efficacy and safety of using gemeprost for second- and third-trimester termination of pregnancy (TOP) in women with uterine scar due to previous cesarean section.Retrospective analysis of 111 medical TOPs for fetal anomaly or death at 14 to 34 weeks of gestation in women with a history of cesarean section was performed at a German tertiary care center from 2005 to 2009. Abortion was induced via intravaginal application of the prostaglandin analogue gemeprost (1 mg) every 6 h.One hundred eleven women with one (89.2%) or two (10.8%) previous cesarean sections underwent medical TOP with gemeprost. The median induction-to-expulsion interval was 18 h 24 min (range, 2 h 20 min-168 h 28 min), and in 34 (30.6%) cases, the induction interval was longer than 24 h. The overall incidence of severe complications was 9/111 (8.1%), including one case of silent uterine rupture (with the need for blood transfusion), four cases of atonic and three secondary hemorrhages and one case of peritonitis due to uterine perforation during curettage. Failure of induction (induction-to-expulsion >48 h) occurred in 11 cases (9.9%).Gemeprost-induced TOP in the second and third trimester in women with uterine scar due to previous cesarean section is effective and has a low complication rate.
Implementation of Sustainable Land Use in Integrated Environmental Management of Functional Urban Areas

The LUMAT project objective is the implementation of Sustainable Land Use and pilot projects in Integrated Environmental Management in 7 Central European Functional Urban Areas. The LUMAT partnership of cities and regions, environmental agencies and research institutions develop integrated "Functional Areas Management Strategies (FAMS)" with shared transnational territorial and scientific competence. FAMS will include planning strategies with innovative technology supported with citizen participation. Local stakeholders will initiate pilot projects by using new interactive information tools from the Urban Atlas and citizen observatories. The ecosystem service concept will support the assessment and decision-making process.
The implementation will be based on agreed action plans and pilot/demonstration projects for land and soil including information base and tool for the management of urban-peri-urban relationships. Action plans include financial instruments and institutional solutions e.g. land management agencies or permanent intermunicipal working groups. Tools on FAMS methodology and participation will be an integrative part of FAMS (minimize threats and environmental compensation to get more liveable places starting with the pilots in all regions (successful brownfield redevelopment, green infrastructure, sustainable land use on contaminated land).
The project relies on the interplay between strategies and instruments beyond existing practice and on a suitably comprehensive deployment of tools in these areas, including terms of reference (WP1), cooperation, organisation and management by action plans (WP2), investment and pilot actions (WP3). The proposal has already been developed at regional stakeholders meetings and one international workshop in Vienna. All partners committed their engagement by Letters of Support to the Lead Partner. The transfer of outputs and dissemination includes international networks AESOP, ECTP-CEU and ISOCARP, METREX
Pattern of skin thickness progression and clinical correlation in Thai scleroderma patients

Skin thickness progression in scleroderma (SSc) varies in daily clinical practice observation.To define the pattern of skin thickness among Thai sufferers of SSc and to ascertain the clinical correlation with each skin pattern.A 3-year follow-up cohort was performed on patients over 15 years of age in Khon Kaen, Thailand, between January 1, 2005 and December 31, 2006. The progression of skin thickness equals the modified Rodnan skin score at the end minus the score at onset divided by the duration of the disease.SSc cases (117) were included and the female-to-male ratio was 70:47. The mean age at onset was 49.8 years (range 24.4-75.5). The most common skin patterns were: (i) 'slow progression to peak then slow regression' (77 cases; 65.8%); followed by (ii) 'continuous slow progression' (37; 31.6%); (iii) 'continuous intermediate progression' (2; 1.7%); and (iv) 'slow progression to peak then intermediate regression' (1; 0.9%). The respective mean peak skin score and duration of disease at peak skin score was 19.8 points (range 4-45) and 20.3 months (range 1.0-42.2). Only telangiectasia at onset and contracture of joint(s) were related to 'continuous slow progression' of skin thickness with P=0.001 and P=0.042, respectively. Neither SSc subsets nor internal organ involvement were correlated with skin thickness pattern.The most common skin pattern in Thai SSc was 'slow progression to peak then slow regression'. Telangiectasia at onset and contracture of joint(s) were predictive of continuous progressive skin thickness in the first 3 years.
Ethylene–propylene–diene terpolymer/hexa fluoropropylene–vinylidinefluoride dipolymer rubber blends: Thermal and mechanical properties

Abstract Hexa fluoropropylene–vinylidinefluoride dipolymer, fluoroelastomer (FKM) and ethylene propylene diene rubber (EPDM) blends with and without compatibilizer (MA-g-EPDM) were prepared by two-roll mill mixing. The effects of blend ratio and amount of compatibilizer on mechanical properties and thermal stability were investigated. The cure characteristics and mechanical properties of EPDM, FKM and their blends of varying compositions were studied for unaged and aged samples. The 50:50 (w/w) FKM/EPDM showed highest mechanical properties. The tensile properties of all the composites, especially those with higher proportion of FKM increased with aging. Swelling of the blends was reduced after aging. The thermal stability of FKM/EPDM rubber blends was studied using thermogravimetric analysis (TGA). The incorporation of FKM rubber improved the thermal stability of EPDM rubber. The apparent degradation activation energy (E) of EPDM/FKM reactive blends was calculated by the Coats–Redfern method. The results showed that the EPDM/FKM reactive blends had higher thermal stability but lower E than FKM. The thermal degradation process of both EPDM/FKM reactive blends and FKM were determined by nucleation and growth mechanism. The differential scanning calorimetry (DSC) results suggest that glass transition temperature (Tg) peak for EPDM region is shifted to FKM phase, due to improved compatibility on addition of compatibilizer. The morphology of blends was investigated using scanning electron microscopy (SEM).
The Essence of ‘the People’: Citizenship, Class Accommodation and the Construction of Political Identities in Britain, c. 1640–1850

‘The people’ is an ever present feature of modern politics. This essay offers a historico-sociological assessment of that political identity as fundamental for bourgeois hegemony. English populism is crucially important because the meaning of ‘the people’ was shaped during the English Revolution to allow the bourgeoisie to challenge the old ruling class while achieving hegemony over the masses. This 17th-century populism is the original model on which the basic structure of populist mobilization (the undifferentiated ‘people’ against the ‘elite’) has been patterned subsequently; and, in the 19th century, it thoroughly shaped the political outlook of the first proletariat in the first industrial nation, thus setting an example of immense historical relevance.
National Partnership for Maternal Safety Consensus Bundle on Obstetric Hemorrhage

Hemorrhage is the most frequent cause of severe maternal morbidity and preventable maternal mortality and therefore is an ideal topic for the initial national maternity patient safety bundle. These safety bundles outline critical clinical practices that should be implemented in every maternity unit. They are developed by multidisciplinary work groups of the National Partnership for Maternal Safety under the guidance of the Council on Patient Safety in Women's Health Care. The safety bundle is organized into 4 domains: Readiness, Recognition and Prevention, Response, and Reporting and Systems Learning. Although the bundle components may be adapted to meet the resources available in individual facilities, standardization within an institution is strongly encouraged. References contain sample resources and "Potential Best Practices" to assist with implementation.