Miracle-dz/UniFAR-FTUs huggingface dataset:
The conception of constructions as complex signs

Generally, construction based approaches to grammar consider constructions to be pairings of form and meaning and thus as a kind of signs, not essentially distinct from words and other lexical items. Granting this commonality, Langacker (2005) criticizes other varieties of constructional approaches for using the notion ‘grammatical form’, and for not reducing the properties of grammar to the more fundamental and minimal notions of sound, meaning, and symbolic links between these two. While such a reduction is definitely worth pursuing, if only for reasons of general scientific interest, the abstract forms postulated in Cognitive Grammar (schematic sound patterns) are so general that they represent ‘any sound’, which threatens the very basis for the assumption that constructions are a kind of signs. I will argue that a usage-based view of sign-formation (Keller 1998), allows us to understand how the recognition of an element as belonging to a particular class of elementary signs can come to function as a signal for a specific linguistic environment (a construction), and produce a level of structure (categories of more elementary signs and relations between them) intermediate
Generation of recombinant antibodies by display technologies for diagnostic applications

Introduction The efficient management of diseases is increasingly dependent on high quality diagnoses resulting from diagnostic testing in clinics. For decades, the most robust and routinely applied diagnostics are based on immunoassays, such as radioimmunoassay and enzyme-linked song have facilitated the introduction of new diagnostic platforms. However, these platforms still depend on immunological agents, in most cases antibodies with recognition properties and binding specificity for the target to be detected or measured [1]. As new diseases are coming to the fore, newer biomarkers that require new antibodies are being discovered regularly.
Optimisation of Machining Parameters to Maximize Tool Life

The determination of the relationship between roughness & the parameters affecting its value remains an open field of research for scientists & engineers. In the present study an experiment is conducted on a mild steel work piece using different tool specimens. Their surface finish, strength, feed rate & cutting speed are calculated. The results are evaluated, analysed & finally optimising machining parameters are calculated to maximise the tool life.
Data Utility Assessment while Optimizing the Structure and Minimizing the Volume of a Distributed Database Node

While using universal accounting systems, appears a set of problems, among which can be mentioned at least central database overload and low reliability. But shift to the several specialized solutions leads to existence of the set of databases, some data in which needs to be synchronized. Another cause of database splitting can be company branches, removed from the central office geographically in case, when cloud approach cannot to the solution. It all leads to distributed database structure. The article highlights the difficulties, connected with distributed queries and distributed transactions while getting data from relational database, hosted on several remote nodes. It is suggested to minimize the number of such queries by placing valuable data for the node locally. To do this, firstly SQL-queries parser was created. It presents SQL-query as a hierarchical tree, in nodes of which can be subqueries, tables, table columns and tuples. Based on the parsing results, the queries to database (DB) were analyzed in the analytics of the application, user, location, list of used tables, attributes, tuples and other possible dimensions. It allows to determine valuable for the node data based on list of needed applications, node location and other available input parameters. The problem of new and modified data classifying and ways of its solving also is presented. The paper shows the results of testing of the research while the structure of the database of the automated retail store were designing.
Learners’ Perceptions of “Good” Foreign Language Teachers: A Quantitative Analysis between Native and Non-Native Teachers

This paper considers Arabian learners’ concepts of “good” Japanese language teachers and addresses differences and similarities of these perceptions between “good” native Japanese teachers and Arabian non-native Japanese language teachers. Literature has suggested that language learners have different views on native and non-native teachers, and that learners’ ideal teachers differ depending on individual learners’ backgrounds. To date, no empirical studies have been conducted concerning “good” teachers for Arabian learners of the Japanese language. Quantitative results show a commonality among learners; that is, they want teachers to demonstrate the characteristics of knowledge, experience, and personality. Additionally, Arabian learners expect native Japanese teachers to be more skilful and to have a wider variety of skill sets than non-native teachers. Learners’ gender and study duration are also associated with their expectation for the two teacher groups. This paper considers that learners’ excessive expectations toward native Japanese teachers could be attributed to the current developing situation of Japanese language education and teachers in the Arabic region.
Anthropomorphizing brands: The role of attributed brand traits in interactive CSR communication and consumer online endorsements

textabstractConsumers tend to relate to brands in similar ways as they relate to individuals and groups. However, relatively little is known about the attribution of human traits to brands in online contexts. The current research focused on the role of attributed brand traits in interactive corporate social responsibility (CSR) communication and positive electronic word‐of‐mouth intentions. Results of an online survey (N = 174) revealed that higher levels of perceived interactivity were associated with stronger attributions of morality, sociability, and competence traits to brands. Yet only attributed brand morality was associated with consumers' willingness to endorse the brand and its CSR message on social networking sites. These findings underline the importance of brands' openness to dialogue regarding the promotion of CSR activities. Furthermore, these findings suggest that consumers are most likely to feel that brands can represent their identity when brand morality is considered to be high.
Effect of early functional training on acute deep venous thrombosis of patients with stroke

Objective:To study the differences in the lower limb functions and risks of pulmonary infarction of early rehabilitation therapy vs.bed immobilization for acute deep venous thrombosis(ADVT) after stroke.Methods:Sixty patients with ADVT after stroke admitted to hospital were randomly divided into normal control group and experimental group(n=30 each),all receiving the routine therapy.The normal control group underwent the bed immobilization,elastic stockings support and limb elevation treatment for 7 to 14 days,then the rehabilitation of limb function was given.The patients in experimental group were merely arranged to limb elevation treatment under the support of elastic stockings in early stage(1-2 days after thrombosis). The pulmonary infarction rate and functional recovery in both two groups were compared within 3 months.Results:No one in each group was dead from symptomatic pulmonary infarction during 3 months of the therapy.The FMA scores in both groups after treatment were significantly increased(P0.05,and 0.01),more significantly in experimental group than in normal group(P0.01). The VAS scores and upper circumference of calf malleolus were obviously decreased after treatment in both two groups(P0.05,and 0.01),more significantly in experimental group than in normal group(P0.01). Conclusion:The preliminary findings show that the lower limb function of patients with ADVT,who underwent early rehabilitation therapy,had been improved more significantly and the speed of their recovery process is faster than in those only undergoing simply bed immobilization.The incidence of pulmonary infarction is not increased.
Fingernails - foreign objects in root canal: a case report

Foreign objects in the pulp chamber or root canal are not unusual findings in patients undergoing root canal treatments in which canals have been left open for drainage. Detailed case history, clinical and radiographic examinations are necessary to come to a conclusion about the nature, size, location of the foreign body and difficulty involved in its retrieval. This kind of situation is more likely to occur in children due to their habit of placing foreign objects in the mouth. The foreign objects may act as a potential source of infection and may later lead to a painful condition. Reported here is an unusual case of metallic pin along with multiple nail pieces retrieved from root canal of a patient with nail biting habit.
The relationship between serious leisure, flow experience, leisure benefit and quality of life of Yoga

The purpose of this study was to investigate the relationship between serious leisure, flow experience, leisure benefit and quality of life of yoga, and by adopting PLS-MGA to compare the differences in the overall pattern of different types of yoga. A questionnaire survey was conducted by using a cluster sampling method. Five types of yoga, including Hatha Yoga, Astangar Yoga, Bikram Yoga, Fitness Yoga, and Yogalates, were studied. The subjects of this study, from whom 276 valid questionnaires were collected, were participants who had more than one-year experience of yoga. The effective rate was 93%. Statistical methods such as descriptive statistics, PLS and PLS-MGA were used for analysis. The results of the PLS-SEM study showed that: (1) The serious leisure aspect of the yoga positively influences the flow experience and leisure benefits, but had no significant effect on the quality of life; (2) The flow experience positively influenced leisure benefits and quality of life; (3) The leisure benefits of yoga positively affected the quality of life; (4) The serious leisure of yoga had no indirect effects on the quality of life through the experience of flow and leisure benefits. The results of the PLS-MGA study showed that there were differences in the overall pattern of different types of yoga.
Analysis of the Quality Service: a study between the customer and the tour guide perceptions on regional tours of SESC-Santa Catarina, Brasil

For meeting the demand of tourism and ensuring excellence in service, the labor market requires a skilled and innovative workforce. Considering this need, the aim of this work was to analyze the quality perceived by costumers regarding the services provided by tour guides in the SESC SC regional itineraries, through statistical inferences. Questionnaires were applied to clients and tour guides, resulting in a sample of 180 cases in the first group and 09 cases in the second. This scientific research was methodologically devised as a quantitative, applied, and descriptive approach to the subject. The technical procedures used were the bibliographic research, followed by a survey, in accordance with the SERVPERF model. It was possible to verify, through statistical analysis, that the work of this professional results in satisfaction with the service quality. Moreover, the opinions of customers and guides are relatively similar, indicating absence of gaps between perceptions.
Privacy Preservation in public graph by Clustering Techniques

In current scenario, preserving privacy is a challenging problem to tackle especially when sharing the graph data generated through social network users need to share for business analytics and social science research purposes. Analytical values are present in medical records, corporate data etc. in which definite attributes are eliminated and the data are made to be clean. Several techniques are suggested in the field of data mining such as sanitized data for subsequent mining techniques, privacy preserving and data publishing. In the last few years, researchers have been focusing on k-anonymization techniques. The essential needs for these techniques are ensuring data anonymization while at the same time minimize the information loss, that cause from data modifications. This paper suggest to minimize information loss that uses the idea of clustering to ensure good data quality. The important objective of preservation is data records that are certainly similar to each other which should be the part of identical equivalence class. The definite clustering problems are formulated by using this technique is said to be Kmember clustering problem.
Supervised Blood Vessel Segmentation in Retinal Images Using Gray level and Moment Invariant Features

The segmentation of membranel blood vessels within the retina may be a essential step in designation of diabetic retinopathy. during this paper, gift a replacement methodology for mechanically segmenting blood vessels in retinal pictures. 2 techniques for segmenting retinal blood vessels, supported totally different image process techniques, square measure represented and their strengths and weaknesses square measure compared. This methodology uses a neural network (NN) theme for element classification and gray-level and moment invariants-based options for element illustration. The performance of every algorithmic program was tested on the STARE and DRIVE dataset. wide used for this purpose, since they contain retinal pictures and also the vascular structures. Performance on each sets of check pictures is healthier than different existing pictures. The methodology proves particularly correct for vessel detection in STARE pictures. This effectiveness and lustiness with totally different image conditions, is employed for simplicity and quick implementation. This methodology used for early detection of Diabetic Retinopathy (DR)
The impact of economic globalisation on firm performance and the labour market: evidence from Japan

This paper summarises the major findings and arguments in the literature on the impact of globalisation on firm performance and the labour market, focusing on the case of Japan. Internationalised firms show better performance. Although offshoring has shifted labour demand towards skilled workers, the direct contribution of globalisation to the widening wage gap is quite limited. The empirical evidence for Japan is more or less consistent with that for other developed countries, but some observations on Japan are worth pointing out. First, several empirical studies confirm a learning-by-exporting effect. Second, there is no strong evidence that increases in imports from China have reduced domestic employment. Increases in imports from China have a positive effect on value added growth in downstream industries, implying that imports from China are likely to be complementary to domestic production in Japan.
Synchronized Triple Bias-Flips Harvesting Circuit: A New Solution for Piezoelectric Energy Harvesting Enhancement

The energy harvesting capability of piezoelectric energy harvesting (PEH) systems can be significantly enhanced by adopting synchronized switching interface circuits, e.g., the synchronized switch harvesting on inductor (SSHI). On the other hand, recent circuit advancements have shown that, by sophisticatedly injecting energy into the vibrating system at some proper instants, the harvesting capability can be further boosted. The combination of energy harvesting steps, which are generally passive bias-flip actions, and auxiliary energy injection steps, which are active bias-flip actions, has introduced a more complicated energy flowing scenario across the electromechanical interface. A best voltage bias-flip strategy was developed for generalizing the optimal timing and strength of each bias-flip action towards an overall outcome of maximum harvested power. Based on the theoretical guidance of the best bias-flip strategy and a compromise between the effectiveness of improvement and the complexity of implementation, a new interface circuit called parallel synchronized triple bias-flips (P-S3BF) is proposed in this paper. The PS3BF scheme makes the full use of an auxiliary bias voltage source for exerting appropriate bias-flip actions in time; therefore outperforms other configurations using single auxiliary bias source. Some detailed circuit mechanisms are embodied in the proposed P-S3BF topology for ensuring the stability of the PEH system. Simulation results verify the theoretical derivation and provide reference for the ongoing circuit implementation.
Medical Numerical Record Recognition using Deep Learning

In this study, we propose a numerical record recognition method from the image on medical equipments. A medical numerical record recognition can be divided into two processes, a digit recognition on the medical equipments and a numerical record recognition concerning the meaning of each digit. We designed a digit recognition as a partial numeric image recognition and adopt Faster R-CNN model for the process. While, we designed a numerical record recognition as a digit sorting method, which rearranges out-of-order numeric strings into the templated numeric strings based on the recognized digits and their positions from the Faster R-CNN. In this paper, we focused on designing the latter process and report the results of the first recognition trial with date and step values on the pedometers.
Gaussino - a Gaudi-Based Core Simulation Framework

The increase in luminosity foreseen in the future years of operation of the Large Hadron Collider (LHC) creates new challenges in computing efficiency for all participating experiment. To cope with these challenges and in preparation for the third running period of the LHC, the LHCb collab- oration currently overhauls its software framework to better utilize modern computing architectures. This effort includes the LHCb simulation framework (Gauss). In this article, we present Gaussino, an LHCb-independent simulation framework which forms the basis for LHCb’s future simulation framework which incorporates the reimplemented or modernized core features of Gauss. It is built on Gaudi’s functional framework making use of multiple threads. Event generation is interfaced to external generators with an example implementation of a multi-threaded Pythia8 interface being included. The detector simulation is handled by the multi-threaded version of Geant4 with an interface allowing for the parallel execution of multiple events at the same time as well as for parallelism within a single event.
A Taxonomy of Software Integrity Protection Techniques

Tampering with software by Man-At-The-End (MATE) attackers is an attack that can lead to security circumvention, privacy violation, reputation damage and revenue loss. In this model, adversaries are end users who have full control over software as well as its execution environment. This full control enables them to tamper with programs to their benefit and to the detriment of software vendors or other end-users. Software integrity protection research seeks for means to mitigate those attacks. Since the seminal work of Aucsmith, a great deal of research effort has been devoted to fight MATE attacks, and many protection schemes were designed by both academia and industry. Advances in trusted hardware, such as TPM and Intel SGX, have also enabled researchers to utilize such technologies for additional protection. Despite the introduction of various protection schemes, there is no comprehensive comparison study that points out advantages and disadvantages of different schemes. Constraints of different schemes and their applicability in various industrial settings have not been studied. More importantly, except for some partial classifications, to the best of our knowledge, there is no taxonomy of integrity protection techniques. These limitations have left practitioners in doubt about effectiveness and applicability of such schemes to their infrastructure. In this work, we propose a taxonomy that captures protection processes by encompassing system, defense and attack perspectives. Later, we carry out a survey and map reviewed papers on our taxonomy. Finally, we correlate different dimensions of the taxonomy and discuss observations along with research gaps in the field.
Biogeosciences The European land and inland water CO 2 , CO , CH 4 and N 2 O balance between 2001 and 2005

Globally, terrestrial ecosystems have absorbed about 30 % of anthropogenic greenhouse gas emissions over the period 2000–2007 and inter-hemispheric gradients indicate that a significant fraction of terrestrial carbon sequestration must be north of the Equator. We present a compilation of the CO2, CO, CH4 and N2O balances of Europe following a dual constraint approach in which (1) a landbased balance derived mainly from ecosystem carbon inventories and (2) a land-based balance derived from flux measurements are compared to (3) the atmospheric data-based balance derived from inversions constrained by measurements of atmospheric GHG (greenhouse gas) concentrations. Good agreement between the GHG balances based on fluxes (1294± 545 Tg C in CO2-eq yr−1), inventories (1299± 200 Tg C in CO2-eq yr−1) and inversions (1210 ± 405 Tg C in CO2-eq yr−1) increases our confidence that the processes underlying the European GHG budget are well understood and reasonably sampled. However, the uncertainty remains large and largely lacks formal estimates. Given that European net land to atmosphere exchanges are determined by a few dominant fluxes, the uncertainty of these key components needs to be formally estimated before efforts could be made to reduce the overall uncertainty. The net land-to-atmosphere flux is a net source for CO2, CO, CH4 and N2O, because the anthropogenic emissions by far exceed the biogenic sink strength. The dual-constraint approach confirmed that the European biogenic sink removes as much as 205 ± 72 Tg C yr−1 from fossil fuel burning from the atmosphere. However, This C is being sequestered in both terrestrial and inland aquatic ecosystems. If the C-cost for ecosystem management is taken into account, the net uptake of ecosystems is estimated to decrease by 45 % but still indicates substantial C-sequestration. However, when the balance is extended from CO 2 towards the main GHGs, C-uptake by terrestrial and aquatic ecosystems is offset by emissions of non-CO 2 GHGs. As such, the European ecosystems are unlikely to contribute to mitigating the effects of climate change.
On the surface characterization of an Al2O3 charge state conversion surface using ion scattering and atomic force microscope measurements

Thermal certification campaigns in the temperature ranges of −50 ◦C to +85 ◦C and −70 ◦C to +130 ◦C on charge state conversion surfaces (aluminum-oxide coatings on a silicon wafer substrate) were performed. Such surfaces are often used in neutral particle sensing instruments in space science where neutral atoms must be ionized prior to their analysis. Ion scattering and atomic force microscope (AFM) instruments were used to characterize the surface properties, e.g., surface roughness, angular scattering distribution and negative ionization efficiency of charge state conversion surfaces before and after thermal certification campaigns. No significant changes in surface roughness were found in AFM images whereas ion scattering measurements revealed a significant increase of the angular scattering distribution of up to 21% after thermal campaign in the expanded temperature range of −70 ◦C to +130 ◦C. The present study shows clearly that ion scattering measurements are sensitive enough to measure surface changes on atomic and sub atomic level whereas at this level the AFM instrument finds its limits. © 2012 Elsevier B.V. All rights reserved.