SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
IMPROVED WINDOW AND DOOR CLOSURE

The window or door closure (1) is adapted for mounting in a channel (27) cut out of the edge of a door or window. The closure (1) has a closure mechanism (5) such as a conventional mortice lock and a closure frame (2) with screw holes (3c, 3d) which are used to attach the closure mechanism (5) to the side walls of the channel (27). Cover plates (7a, 7b) are also (10) provided to protect the closure frame (2) and the closure mechanism (5) from attack. The window or door closure (1) is particularly suited for DIY installation whilst still offering a high degree of protection.
AERODYNAMIC PROJECTION PORTION FOR CYCLING SHOE

A cycling shoe having a sole and an upper coupled to the sole. A projection portion extends off a bottom surface of the sole behind a cleat (attachment) portion of the sole. The projection portion has a first lateral side surface, a second lateral side surface at an opposite side of the cycling shoe from the first lateral side surface, a bottom surface, and rounded lateral edges that connect each of the first and second lateral side surfaces to the bottom surface.
METHOD AND COMPOSITION FOR AMELIORATING THE EFFECTS FOR A SUBJECT EXPOSED TO RADIATION OR OTHER SOURCES OF OXIDATIVE STRESS

Radiation - oxidative exposure treatment compositions comprise a mixture of micronutrient multivitamin and trace elements, a mixture of antioxidants and chemopreventative agents, and optionally a mixture of fatty acids. Micronutrient multivitamin and trace elements mixtures include vitamins A, Bp, Bl, B2, B3, B5, B6, B7, B9, B12, C, D, E and K; inositol; calcium, iodine, magnesium, zinc, selenium, copper, manganese, chromium, molybdenum, potassium, boron and vanadium. Mixtures of non¬ essential antioxidants and chemopreventative agents include bioflavins, alpha lipoic acid, N- acetyl-L-cysteine, lutein, lycopene, astaxanthin, plant sterols, isoflavones, garlic extract, which provides allicin; green tea extract, cruciferous vegetable extract, fruit extracts, ginkgo biloba extract, coenzyme Q-10, and resveratrol. Fatty acid mixtures include eicosapentaenoic acid and docosahexaenoic acid. Methods of treatment of a subject exposed to a radiation source or an oxidative stress with the radiation - oxidative exposure treatment composition include the step of administering to the subject a daily dose of the radiation - oxidative exposure treatment composition such that the life shortening effects induced by the radiation source or the oxidative stress are ameliorated.
Efecto del extracto de las hojas de Gingko biloba en el crecimiento y la morfología de tripanosomátidos

Gingko biloba has been one of the most used medicinal plants all over the world in the past years. In this study, our group has studied the effect of a hydroethanolic extract from the aerial parts of this plant on the growth and morphological differentiation of trypanosomatids. Herpetomonas samuelpessoai and Herpetomonas sp were used in this study. The extract was obtained in a Soxhlet apparatus (50 oC, 2 hours). This extract was aseptically added to Roitman’s medium in different concentrations (4, 20, 40, 60, 80 and 100 mg/ml). The growth rate was determined using a Newbauer chamber to count numbers of cells after the extract inoculation (24 and 72 hours later). Smears stained by the Panotic method was used to determine the percentages of pro, para and opisthomastigote forms. The extract inhibited Herpetomonas sp growth in concentrations higher than 20 mg/ml. H. samuelpessoai has been inhibited in doses higher than 40 mg/ml. No morphological differentiation was observed in Herpetomonas sp cell. However, morphological differentiations could be noticed in H. samuelpessoai cell using doses higher than 40 mg/ml. These alterations are probably related to the cell division process, since cells with 3 or 4 nucleus were observed. Also, cytoplasmatic expansions, representing unsuccessful process of cell division were frequently found out. Further ultrastructural analysis using a transmission electron microscope showed cells with homogeneous nucleus or the absence of it. Protozoan protein profile was also analyzed. It was possible to notice changes in both trypanosomatids used in this study. H. samuelpessoai has shown over expression and accumulation of proteins which its degradation is essential to continue the cell differentiation. Also, it is possible to suggest that this extract acts through the modulation of the genetic expression and may be harmful to human cells if not purified.
PENGARUH MODAL KERJA TERHADAP PROFITABILITAS PADA PERUSAHAAN REAL ESTATE DAN PROPERTY YANG TERDAFTAR DI BURSA EFEK INDONESIA

The main purpose of this study was to determine the effect of working capital turnover, asset turnover, receivables turnover and the current ratio on profitability of companies listed in Indonesia Stock Exchange. Population in this study is a real estate and property company listed in Indonesia Stock Exchange period 2008-2012 and samples are choosen by purposive sampling technique based on certain criteria. Data analysis tools in this research are descriptive analysis and inferential analysis. The results of this study using the F Test showed that working capital turnover, asset turnover, receivables turnover and the current ratio simultaneously have significant effect on profitability. Results of this study using the t Test showed that working capital turnover has not significantly negative on profitability, asset turnover significantly positive on profitability, receivables turnover significantly positive on profitability and current ratio has not significantly negative effect on profitability.
Keywords : working capital turnover, asset turnover, receivable turnover, current ratio, and profitability.
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The Strategic Thinking on the Construction of a Technology-applied University:Based on the Exploration of the School Running of Changshu Institute of Technology

Firstly, this paper makes a comprehensive summary of the basic experience of the ten years' transitiondevelopment of Changshu Institute of Technology since being upgraded as an undergraduate university, namely sys-tem planning, accurate positioning, clear thinking, steady progress, capturing and taking advantage of opportunities,and attaching importance to research and scientific development. Secondly, the paper makes an analysis of thebackground of higher education in the development of a new round of transitions, defines the target direction of con-structinga technology-applied university with distinctive characteristics and excellent qualityand several key in-dicators in order to enhance the connotation of university functions to perform ability as the core construction task.Lastly, the paper proposes a basic idea of constructing a technology-applied university on the strategic level.
Neural network multi-model based method of fault diagnostics of actuators

This paper introduces an artificial neural network based technique which is capable of distinguishing among different types of faulty states of the analysed system and generating signals to alarm the user about the failures in the system. The developed method can detect, separate and identify faults in the system. Large datasets were generated to train the separator networks. A novel active learning method was developed to speed up the training process of separator network. To find the weakness of the separator's mathematical structure, a complex test process was used where the size of the different faults was varied and the actual performance of the structure was examined. The examination had two parts: a) the appearance and termination of the faults were tested; b) the estimation of the fault size was verified. The separator technique requires mathematical models of the analysed system. In this case, the models were also based on feedforward neural networks with tapped delay line. The developed technique was tested on a traditional vehicle starter motor.
SOUND-ABSORBING BOX

The invention relates to a hermetically sealed sound-absorbing module (12, 13, 14) that has a smooth surface all around, said surface enclosing a hollow space. The module (12, 13, 14) comprises two rectangular metal sheets, at least two opposite borders of which are provided with edges that are bent in the same direction. The metal sheets are disposed so as to enclose a hollow space (9, 10, 11), a fixed connection between the metal sheets being provided on the edges of the metal sheets.
State Aids granted by regional airports: a two-sided market analysis

A lot of cases had arouse in the past decade about agreements between regional airports and low-cost carriers. These agreements are challenged on the basis of the State Aids European control as they rise concerns not only about competition distortions between airlines but also about fiscal competition risks among Member States or local governments. Such phenomena could be expected as regional airports are characterized by significant overcapacities and overlapping inducing a substitutability for airlines. Surprisingly, the new 2014 guidelines on State Aids granted to airlines open the way to transitory operating aid schemes, an option apparently at odds with the European longstanding principles. Our purpose in this paper is to demonstrate with the help of the development of a model, that such agreements can make sense from the economic point of view provided that the relationship between the carrier and the airport is no longer analyzed as a vertical chain, inducing an assessment in terms of economic dependence, but as a two-sided market. The favorable usage terms granted to low cost carriers generate additional flows on the other side, with commercial revenues from shops or parking. Consequently, subsidizing operating costs might be rational, even for a private investor in a market economy, and might be a perennial device.
Social and relational identification as determinants of care workers’ motivation and well-being

A growing body of research in the field of health and social care indicates that the quality of the relationship between the person giving care and the person receiving it contributes significantly to the motivation and well-being of both. This paper examines how care workers' motivation is shaped by their social and relational identification at work. Survey findings at two time points (T1, N = 643; T2, N = 1274) show that care workers' motivation increases to the extent that incentives, the working context (of residential vs. domiciliary care), and the professionalization process (of acquiring vs. not acquiring a qualification) serve to build and maintain meaningful identities within the organization. In this context care workers attach greatest importance to their relational identity with clients and the more they perceive this as congruent with their organizational identity the more motivated they are. Implications are discussed with regard to the need to develop and sustain a professional and compassionate workforce that is able to meet the needs of an aging society.
A new dynamic precision led-lighting system for hydro- and aquaponic indoor farming

The overall objective of the flexiLED-project is the successful and sustainable market entry of the dynamic precision lighting solution Malina from Ponix Systems GmbH as a B2B-product for large-scale greenhouses and indoor, urban farms. Therefore, a market strategy based on the highest market potentials as well as the smaller potential markets which are easier to reach has to be developed within a proper feasibility study for an optimised product and described in a detailed strategic business plan and negotiations with first large-scale customers have to be started. Ponix Systems’ Malina addresses first of all greenhouses but also urban-, vertical farms which aim for minimising time, land, water and energy input in agriculture. Malina is capable of irradiating each crop of these farms with precisely the spectral composition which is best for its light induced development (photomorphogenesis) at any given moment from germination until harvest. The plant specific development goal (e.g. time of harvest or of flowering, size, volume and nutritional content) can be chosen by the farmer by simply downloading “Malina light recipes” on to the hardware. By contributing to the LED market diffusion in this segment through novel functionalities, Malina is a truly eco-innovative and resource-efficient food production methodology. Malina furthermore minimises food losses on farms because of detection of unusual changes in plant physiology at any time. This is based on sensors integrated in the lighting solution, the possibility to extend the hardware with exogenous sensors and plant feedback algorithms based on analysing the reflected & emitted light of the plants under changing spectral compositions further allows for detecting unusual changes in plant physiology at any time. Thus also food losses on farm can be minimised. Four tasks are proposed, task titles are provided as free keywords above.
Numerical studies of the outdoor wind environment and thermal comfort at pedestrian level in housing blocks with different building layout patterns and trees arrangement

Alleviating the urban heat-island effect (UHI) is one of the important means to meet energy conservation and pollution reduction targets by demand side. Rational architectural layout and landscape design are significant measures to achieve building energy efficiency and sustainable building. In this study, the effects of building layout patterns and trees arrangement on the outdoor wind environment and thermal comfort at the pedestrian level were investigated by using Simulation Platform for Outdoor Thermal Environment (SPOTE). The conclusions were summarized as follows: 1) it has been found that trees arrangement, buildings layout patterns and their orientations with respect to wind have significant effects on the outdoor wind environment and pedestrian level thermal comfort. The long facades of building, which are parallel to the prevailing wind direction, can accelerate horizontal vortex airflow at the edges and obtain pleasant thermal comfort and wind environment at pedestrian level. 2) Configurations that contain a square central space articulated by buildings and oriented toward the prevailing wind can offer better exposure to air currents as a result of attenuated revised standard effective temperature (SET*). Such configurations are regarded as the optimum building layout patterns and trees arrangement.
Optimization of Process Parameters on EDM Milling of Stainless Steel AISI 304

Electrical Discharge Machining (EDM) is one of the most widely used non conventional machining processes for removing material from workpiece by means of a series of repeated electric discharges. This process is now one of the main techniques used in die production and has good accuracy and precision with no direct physical contact between the electrodes so that no mechanical stress is exerted on the workpiece. Electrical discharge milling (ED-milling) is an emerging technology where a cylindrical tool electrode follows a programmed path in order to obtain the desired shape of a part. The current investigation aims to optimize the process parameters during EDM milling of stainless steel by using copper electrode. The selected input parameters used for the study are voltage, rotational speed of the electrode and feed rate while the responses are material removal rate (MRR), electrode wear ratio (EWR) and surface roughness (Ra). Response surface methodology is used in the study. The experimental design is formed by using design expert software. Central Composite design (CCD) is used to identify the optimum operating condition in order to obtain maximum MRR, minimum EWR and minimum Ra as response. The result shows that the machining parameter setting of voltage 120 V, rotational speed of electrode 1200 rpm and feed rate 4μm/s, gives optimized responses MRR 5.0259 x 10-3 mm3/min, EWR 53% and Ra 0.79 μm.
Chemical space for antimicrobials on a peptide basis

Multidrug resistant (MDR) bacteria represent a global public health threat against which new drugs are urgently needed. Antimicrobial peptides (AMPs), mostly derived from naturally occurring linear or cyclic peptides, can contribute to solving the problem. AMPs are already in clinical use, do not easily lead to resistance, and can rely on a strong manufacturing sector and established protocols for clinical development. However, most AMPs are degraded by proteases and have poor pharmacokinetics.
SPACE4AMPS aims to identify new AMPs with diverse peptide chain topologies and building blocks and with the following characteristics: i) Broad activity spectrum, ii) High activity, iii) Low probability for induced resistance, iv) Low proteolysis, v) Better pharmacokinetics.
To reach its goal SPACE4AMPS will create computational tools to explore the extremely vast chemical space of large molecules such as peptides and natural products, which now lies within reach of the latest computer hardware developments. 
To better understand antimicrobial drugs, we will design a molecular fingerprint relating antimicrobial activity to molecular structure and use it to draw a tree-map of the antimicrobial chemical space. We will enrich this map with new compounds from generative models using neural networks. 
To identify new AMPs, we will use a genetic algorithm carrying out cycles of molecule generation and similarity calculations to select cyclic peptides and peptide dendrimers including lipidated, peptoid (N-alkyl glycines) and N-methylated residues, synthesize and test these molecules against MDR bacteria, fungi and parasites, screen actives for toxicity, and study their structure and mode of action. 
By its ground-breaking and unprecedented computational/synthetic/biological approach, SPACE4AMPS can help solve the antibiotics crisis, revolutionize knowledge on antimicrobial compounds, and create new methods enabling computer-aided drug discovery for large molecules.
Pliocene transient climate modelling: towards a global consensus between ice volume, temperature and relative sea level for the late pliocene

The Antarctic and Greenland ice sheets will be significant contributors to sea-level rise during and beyond this century. An increase in sea level will have considerable impact on ecosystems, the vulnerability of the coast and on society. A better understanding of the responses of the ice sheets to a warming climate is needed to make more rigorous predictions of the impact of regional sea-level variations. The Late Pliocene (3.264 to 3.025 million years before present) was a warm interval in the history of the Earth that can be used to gain a better understanding of the response of the ice sheets to a warming climate. Within PLIOTRANS, I will use a unique ice-sheet - sea-level numerical model and couple this to a high-end numerical climate model for the Late Pliocene to for the first time simulate the time varying climate and ice volume simultaneously. My expertise with ice-sheet and regional sea-level modelling and the vast knowledge on Pliocene climate modelling and data at the participating organisations will definitely create the optimal environment to deliver the objectives of. The fellowship will be highly beneficial to establish myself as an independent researcher. With this innovative modelling framework I will improve the understanding of the sensitivity of the Greenland and Antarctic ice sheets to the warmer then present day climate of the Late Pliocene, to reduce the uncertainties associated with future projections of sea-level change. Geological data for the data-rich last glacial cycle will be integrated into the modelling framework to serve as a constraint on modelled sea-level change over the globe. Accordingly, combining models and data will reduce model uncertainties of sea-level change. The outcome of PLIOTRANS can be used as a benchmark for climate scientists and policy-makers in further reducing uncertainties in future targets for greenhouse gas emissions and the impact of ice-sheet melting within future climate projections.
Accurate, reliable and optimized functional magnetic resonance imaging at unprecedented field strength for unique exploration of the human brain

The AROMA project will provide the means enabling in vivo non-invasive exploration of cognitive functions of the human brain at the mesoscopic scale (500 μm). This will be achieved with non-incremental Magnetic Resonance Imaging (MRI) technologies at unprecedented field strength (11.7 Tesla).
The following ambitious objectives are considered:
-Maximize signal by means of advanced sequence developments, innovative coil designs, motion correction and paradigm shift radiofrequency pulse designs.
-Exploit the emerging field sensors technology to minimize the noise induced by subject’s motion and physiology to achieve the functional targeted detection sensitivity.
-Test and validate the disruptive scientific progress with tens of healthy adult volunteers for validation of the anatomical scan quality as well as reliable detection of cortical-depth dependent neural activations.
AROMA is a multidisciplinary project engaging 6 EU partners (with young researchers and first-time participants to FET) from 5 countries (France, Germany, Switzerland, Netherlands and United Kingdom) covering the academic and industrial worlds. An implementation plan is presented in the form of 5 work packages, 4 of which are technical in nature. Synergy in communication and dissemination by the several partners and stakeholders (external advisory board, letters of intent are provided) will permit to maximize AROMA project impact.
The proposal presents solutions to overcome the fundamental barriers and considers appropriate deliverables, tasks, milestones and risks in order to complete the project objectives in due time. Medical sector will be impacted by the AROMA project outcomes, with implications for computational psychiatry and deciphering the encoding of words, mathematical objects and conscious thoughts. The arsenal of techniques deployed in the project will constitute paradigm shifts with a unified solution, and with commercial opportunities and benefits for the MRI industry in general.
Predicting High Imaging Utilization Based on Initial Radiology Reports:

Imaging utilization has significantly increased over the last two decades, and is only recently showing signs of moderating. To help healthcare providers identify patients at risk for high imaging utilization, we developed a prediction model to recognize high imaging utilizers based on their initial imaging reports.The prediction model uses a machine learning text classification framework. In this study, we used radiology reports from 18,384 patients with at least one abdomen computed tomography study in their imaging record at Stanford Health Care as the training set. We modeled the radiology reports in a vector space and trained a support vector machine classifier for this prediction task. We evaluated our model on a separate test set of 4791 patients. In addition to high prediction accuracy, in our method, we aimed at achieving high specificity to identify patients at high risk for high imaging utilization.Our results (accuracy: 94.0%, sensitivity: 74.4%, specificity: 97.9%, positive predictive value: 87.3%, negative predictive value: 95.1%) show that a prediction model can enable healthcare providers to identify in advance patients who are likely to be high utilizers of imaging services.Machine learning classifiers developed from narrative radiology reports are feasible methods to predict imaging utilization. Such systems can be used to identify high utilizers, inform future image ordering behavior, and encourage judicious use of imaging.