Miracle-dz/UniFAR-FTUs huggingface dataset:
Control-oriented turbine power model for a variable-geometry turbocharger

A control-oriented model for the variable-geometry turbocharger is critical for model-based variable-geometry turbocharger control design. Typically, the variable-geometry turbocharger turbine power is modeled with a fixed mechanical efficiency of the turbocharger on the assumption of an isentropic process. The fixed-efficiency approach is an oversimplification and may lead to modeling errors because of an overpredicted or underpredicted compressor power. This leads to the use of lookup-table-based approaches for defining the mechanical efficiency of the turbocharger. Unfortunately, since the vane position of a variable-geometry turbocharger introduces a third dimension into these maps, real-time implementation requires three-dimensional interpolations with increased complexity. Map-based approaches offer greater fidelity in comparison with the fixed-efficiency approach but may introduce additional errors due to interpolation between the maps and extrapolation to extend the operational range outside the map. Interpolation errors can be managed by using dense maps with extensive flow bench testing; smooth extrapolation is necessary when the turbine is operated outside the mapped region, e.g. in low-flow and low-speed conditions. Extending the map to this region requires very precise flow control and measurement using a motor-driven compressor, which currently is not a standard test procedure. In this paper, a physics-based control-oriented model of the turbine power and the associated power loss is proposed and developed, where the turbine efficiency is modeled as a function of both the vane position of the variable-geometry turbocharger and the speed of the turbine shaft. As a result, the proposed model eliminates the interpolation errors with smooth extension to operational conditions outside typically mapped regions.
Managerial aspects of the evaluation of information systems procurement

profesorius. Adresas: Saulėtekio al. 11, LT-10223 Vilnius. Tel. (5) 2744860. El. paštas: olegas@fm.vtu. lt. Algis SAULIS – dr., Vilniaus Gedimino technikos universiteto Informacinių sistemų katedros docentas. Adresas: Saulėtekio al., 11 LT-10223 Vilnius. Tel. (5) 2370620. El. paštas: asaulis@fm.vtu. lt. Narimantas Kazimieras PALIULIS – habil.dr., profesorius, Vilniaus Gedimino technikos universiteto Verslo technologijų katedros vedėjas. Adresas: Saulėtekio al. 11, LT-10223 Vilnius. Tel. (5) 2744881, Faks. (5) 2744924. El. paštas: narimantas.paliulis@vv.vtu. lt. Rimgaudas Stanislovas VAIČIULIS – dr., Viešųjų pirkimų tarnybos prie Lietuvos Respublikos Vyriausybės direktorius. Adresas: Algirdo g. 31, LT-03219 Vilnius. Tel. (5) 213 34 64. El. paštas: vaiciulis@vpt.lt. ISSN 1392-1142 ORGANIZACIJŲ VADYBA: SISTEMINIAI TYRIMAI: 2007.41
Understanding Access Barriers to Public Services: Lessons from a Randomized Domestic Violence Intervention

We study the effect of reducing barriers to accessing non-police services on the demand for police services in cases of police-reported domestic violence. Variation comes from a large randomized controlled trial designed to assist victims in accessing non-police services and we link information from local and national police administrative records and a survey of victims to form a unique dataset for the evaluation. The intervention led to a 18% decrease in the demand for police services, as measured by the provision of a statement by victims. Despite a strong correlation between statements and criminal sanctions against perpetrators, we do not find a corresponding effect of the intervention on perpetrator arrest, charges, or sentencing. This suggests that treated victims who do not provide a statement do so because their potential statement was relatively less effective for pursuing criminal sanctions. Consistent with this result, we find treatment group statements are significantly less likely to be withdrawn than are control group statements.
On the Relationship Between Thinking and World Language Modeling: Based on Old Armenian Language Materials

The analysis of the issues concerning the relationship between thinking and world language modeling showcases that linguistic modelings are at the forefront of the Old Armenian language and regulate the linguistic determinism and linguistic outlook of the society. Examinations of the Old Armenian sentence models and samples reveal that various qualitative manifestations of thinking existed in the 5th century, which are conditioned by the grammatical structure of Old Armenian, and the foreign-language influences. These were displayed both in translated literature and independent bibliographic works. Linguistic determinism as a synchronous maxim can also bear the stamp of foreign-language influences while deeply preserving the peculiarities of national mentality.
The Role of Empathy and Compassion in Conflict Resolution

Empathy and empathy-related processes, such as compassion and personal distress, are recognized to play a key role in social relations. This review examines the role of empathy in interpersonal and intergroup relations, including intractable conflicts. Despite the limitations of empathy, there is growing evidence that empathy and compassion are associated with more prosocial behavior in interpersonal relations. Furthermore, empathy and compassion have been associated with more favorable attitudes and higher readiness for reconciliation across a range of intergroup settings. This review ends by summarizing recent evidence for the beneficial effects of compassion training on interpersonal and intergroup relations and by outlining new avenues for future research on how compassion training could reduce intergroup conflicts.
Listening to the murmur of water: essential satisfaction and dissatisfaction attributes of thermal and mineral spas

ABSTRACT Thermal and mineral spa treatments are an important therapeutic tool backed by centuries of experience and numerous scientific studies showing its effectiveness. The research consisted of content analysis of 1,254 customer reviews posted online from 2015 to 2019. Qualitative analysis identified five key themes: thermal (spa), staff, room, location, and pool. On a theoretical level, this research’s results help to fill research gaps in the literature by separating attributes linked to satisfaction from those related to dissatisfaction. This study is different as we focus on the factors affecting tourism satisfaction and dissatisfaction in thermal and mineral spas using sentiment analysis.
Children’s independent mobility: the role of school-based social capital

ABSTRACT Research has documented the decline in children’s independent mobility (CIM) globally. CIM is a measure of the level of a child’s freedom to move about his or her local neighbourhood without direct adult supervision. This paper explores the effectiveness of three intervention programmes to change travel behaviours of children to and from school in 26 Catholic primary schools in a range of urban and regional settings in Victoria, Australia. Using pre and post intervention surveys with 1600 students and parents, and interviews with school principals, we measured the influence of a range of individual, social, and built environment factors on the effectiveness of these intervention programmes. The degree of social connectedness of the school and the individual was found to have the most impact on the effectiveness of the intervention programmes to change behaviours, while the interventions themselves were not greatly effective without being embedded in a supportive school culture.
Will Mentoring a Student Teacher Harm My Evaluation Scores? Effects of Serving as a Cooperating Teacher on Evaluation Metrics

Growing evidence suggests that preservice candidates receive better coaching and are more instructionally effective when they are mentored by more instructionally effective cooperating teachers (CTs). Yet teacher education program leaders indicate it can be difficult to recruit instructionally effective teachers to serve as CTs, in part because teachers worry that serving may negatively impact district evaluation scores. Using a unique data set on over 4,500 CTs, we compare evaluation scores during years these teachers served as CTs with years they did not. In years they served as CTs, teachers had significantly better observation ratings and somewhat better achievement gains, though not always at significant levels. These results suggest that concerns over lowered evaluations should not prevent teachers from serving as CTs.
Linguistics in the service of communication disorders

Linguistics and Communication Disorders are considered two different disciplines by most students and scholars in both fields as well as by researchers working in other relevant fields such as psychology and education. However, most core disorders, disabilities and delays in communicative ability directly concern language, especially in conjunction with human development from infancy to adulthood, but also as related to the loss of communicative skills in the aging brain. Linguistics thus emerges as a major source of scientific insights and practical applications for the field of communication disorders. While it is obviously impossible to account for the diverse and sometimes contradictory views of linguistics in a single paper, we nonetheless focus on the contribution of novel linguistic and psycholinguistic approaches to the current conceptualization of communication disorders from different perspectives. We first discuss the nature of evidence and research methods in the two disciplines, with the current usage-based and typological approaches to corpus linguistics as a case in point. Consequently, we discuss the interface of linguistics and communication disorders through four contexts which are considered infelicitous to language acquisition and processing. These are, as follows: (i) hearing loss, (ii) language impairment and dyslexia, (iii) growing up in a low socio-economic environment, and (iv) situations of bilingualism.
An Investigation of Attitudes of Employees From Different Age Groups (Generations) Towards Fun At Work, Experienced Fun At Workplace, Job Satisfaction, and Turnover Intention

Abstract This paper aims to present attitudes towards fun at work, experienced fun, job satisfaction and turnover intention of age generations; determine relations between attitudes towards entertainment at work, experienced fun, job satisfaction, and turnover intention. Also, another purpose of this research is to find differences between attitudes towards entertainment at work, experienced fun, job satisfaction, and turnover intention in terms of generations. Research was carried out at a manufacturing factory. Research data was obtained from 94 executives who work at the factory. A questionnaire was used to obtain data. According to results of research, attitudes towards entertainment at work directly affect turnover intention. Job satisfaction has mediating role on this effect. Also, it can be said that experienced fun has moderating role on direct and indirect relations between aforementioned variables.
Semantic isometry for 3-D shape correspondence

Isometry has been widely used in corresponding problem with pose variation. However, most existing methods are causing wrong correspondences due to the ambiguity of geodesic distance. This article introduces the semantic isometry to three-dimensional shape correspondence and proposes a new framework called detection–recognition–correspondence. The idea of semantic isometry is to embed the semantic information and statistical learning through sparse correspondence for better performance. Feature point detection is first utilized to extract the salient feature point of the three-dimensional shapes. Then, instead of finding correspondence pairs directly by minimizing the isometric error of the detected feature points, the semantic labels of these feature points are recognized using the support vector machine. The semantic label is used to perform a priority-driven isometric correspondence.The highly reliable corresponding pairs are then obtained to serve as the further constraint in the following corresponding process. During the experiments, the robustness of the proposed algorithm is verified by different kinds of three-dimensional dynamic models, including some very challenging data with pose variation and missing parts. Moreover, the proposed framework can greatly improve the corresponding accuracy over the existing state-of-the-art algorithms.
An Investigation into the Effects of Deposition Orientation of Material on the Mechanical Behaviours of the Cementitious Powder and Gypsum Powder in Inkjet 3D Printing

Three-Dimensional Printing (3DP) is widely used and continues to be rapidly developed and adopted, in several industries, including construction industry. Inkjet 3DP is the approach which offers the most promising and immediate opportunities for integrating the benefits of additive manufacturing technic into the construction field. The ability to readily modify the orientation angle that the printed material is deposited is one of the most advantageous features in a 3DP scaffold compared with conventional methods. The orientation angle has a significant effect on the mechanical behaviours of the printed specimens. Therefore, this paper focuses on printing in different orientations somehow to compare various mechanical properties and to characterise a selection of common construction materials including gypsum (ZP 151) and cement mortar (CP). The optimum strength for the gypsum specimens in compression and flexural strength was observed in the (0° and 90°) and (0°) in the X-Z plane, respectively. According to the experimental results, the compression and flexural strength for ZP 151 are recorded at (11.59±1.18 and 11.78±1.19) MPa and 15.57±0.71 MPa, respectively. Conversely, the highest strength in compression and flexural strength are observed in the (90°) and (0°) degrees in the X-Z plane for the cement mortar, respectively. Moreover, it has been discovered that the compression and flexural strengths for CP are recorded as 19.44±0.11 MPa and 4.06±0.08 MPa, respectively. In addition, the dimensional effect for various w/c ratio has been monitored and examined.
Liver Cancer Microwave Ablation Guided by Imaging Fusion and Needle Tracking Based on Electromagnetic Volume Navigation

: Not every liver cancer is visible on ultrasound. We report a case that the liver cancer was invisible on gray-scale ultrasound but was very distinct on MRI. The microwave ablation was guided by imaging fusion and needle tracking, based on electromagnetic volume navigation. We took advantages both the visibility of MRI and the flexibility of ultrasound and made the needle tip always seen.
Investigation of the photoluminescence spectra of rare-earth elements in pores of an opal matrix

The main idea of this paper is researching the light emission of Eu3+ and Dy3+ in an opal matrix. The opal synthesis was carried out using Stöber method. The size of globules calculated from the transmission spectrum of prepared samples is equal to 231 nm. The samples were infiltrated with rare-earth element oxides in concentrated solution of nitric HNO3 and perchloric HCl acids in the ratio 3:1. Next, the samples were heated to 100°C to reduce the relative content of water. The spectra of photoluminescence in the range 420-640 nm were excited by a semiconductor laser with λ=405 nm at the radiation registration along the direction of growth [111]. In the spectrum of the sample infiltrated by europium, there are distinctive europium lines at 580, 593 and 618 nm, which correspond to the typical transitions of this rare-earth element, such as 5D0→7F0, 5D0→7F1 and 5D0→7F2. Distinctive spectral lines of dysprosium luminescence are at wavelengths of 480 and 572 nm. The maxima of these wavelengths correspond to the typical lines of luminescence of trivalent dysprosium – specifically, transitions 4D9/2→6H13/2 and 4D9/2→6H11/2. The influence of photonic crystalline effects on the photoluminescence spectra of the obtained samples is studied.
Efficient and Scalable Techniques for Multivariate Time Series Analysis and Search

Innovation and advances in technology have led to the growth of time series data at a phenomenal rate in many applications. Query processing and the analysis of time series data have been studied and, numerous solutions have been proposed. In this research, we focus on multivariate time series (MTS) and devise techniques for high dimensional and voluminous MTS data. The success of such solution techniques relies on effective dimensionality reduction in a preprocessing step. Feature selection has often been used as a dimensionality reduction technique. It helps identify a subset of features that capture most characteristics from the data. We propose a more effective feature subset selection technique, termed Weighted Scores (WS), based on statistics drawn from the Principal Component Analysis (PCA) of the input MTS data matrix. The technique allows reducing the dimensionality of the data, while retaining and ranking its most influential features. We then consider feature grouping and develop a technique termed FRG (Feature Ranking and Grouping) to improve the effectiveness of our technique in sparse vector frameworks. We also developed a PCA based MTS representation technique M2U (Multivariate to Univariate transformation) which allows to transform the MTS with large number of variables to a univariate signal prior to performing downstream pattern recognition tasks such as seeking correlations within the set. In related research, we study the similarity search problem for MTS, and developed a novel correlation based method for standard MTS, ESTMSS (Efficient and Scalable Technique for MTS Similarity Search). For this, we uses randomized dimensionality reduction, and a threshold based correlation computation. The results of our numerous experiments on real benchmark data indicate the effectiveness of our methods. The technique improves computation time by at least an order of magnitude compared to other techniques, and affords a large reduction in memory requirement while providing comparable accuracy and precision results in large scale frameworks.
On the Optimization of Appliance Loads Inferred by Probabilistic Models

Recent Non-Intrusive Load Monitoring (NILM) approaches consider probabilistic graphical models and statistical inference algorithms such as Hidden Markov Model (HMM). One interesting HMM based approach towards unsupervised energy disaggregation proposes prior models of general appliance types which are tuned to specific instances using only aggregated electrical consumption measurements. An essential step of this approach is the subtraction of the estimated usage from the aggregated load before the disaggregation of a new load. Then wrongly-detected states of a given device lead to errors that are disseminated by the subsequent disaggregation. In this paper we aim at investigating an unsupervised HMM based approach that overcomes this limitation. First, the general models are tuned for a selection of suitable periods of the signal in analysis. Second, the load disaggregation of each appliance is carried out. Third, given the inferred consumption of the whole set of devices and that the measured aggregated electrical usage is a linear combination of these loads, an optimization step regarding the adjustment of the calculated sources is performed. Although experiments yielded in the REDD data set show the adequacy of the approach, still further improvements are required.
Single and Combined Features for the Detection of Anglicisms in German and Afrikaans

We develop, analyze and combine features for the automatic detection of Anglicisms included in German and Afrikaans text which can improve automatic speech recognition, speech synthesis and other fields such as natural language processing. To evaluate our methods we collected and annotated two German word lists from different domains (IT, general news). We also applied our detection methods to an Afrikaans word list from the NCHLT corpus. Our features are based on grapheme perplexity, grapheme-to-phoneme (G2P) confidence, Google hits count as well as spell-checker dictionary and Wiktionary lookup. With our G2P confidence and Wiktionary features we introduce new approaches to detect Anglicisms. Comparing features based on English models and models of the matrix language allows us to refrain from determining thresholds in a supervised way. Furthermore we do not rely on training data that needs to be expensively annotated – instead we use available resources like word lists and pronunciation dictionaries. Our best single feature is based on the G2P confidence with an f-score of up to 70.39%. Combining our features using a voting, decision tree or support vector machine (SVM) gives us further improvements, especially where the single features performed poorly. We achieve up to 44% relative improvement in f-score on our Afrikaans data. Our best result with a combination is an f-score of 75.44%.
A bi Clustering Model for User Item Sub-cluster Analysis to Convert into a Unified Formulation

We concentrate on the second sort called clustering CF, which just adventures the client thing communication data and identifies the areas by clustering strategies. Among algorithms of this sort, some are one side clustering as in they just consider to cluster either things or clients. We propose a novel Domain-sensitive Recommendation (DsRec) algorithm helped with the client thing sub-cluster investigation, which coordinates rating expectation and space identification into a brought together structure. The proposed system of DsRec incorporates three parts: a lattice factorization show for the watched rating recreation, a bi-clustering model for the client thing subcluster examination, and two regularization terms to associate the over two segments into a bound together detailing.
Marital Biography and Health in Old Age: Insights from European Survey Data

The research project is motivated by the well-known health and longevity advantage of married persons over the unmarried. In times of population ageing and changing marital behaviour, an investigation of the marriage-health nexus by applying a life course perspective is relevant. Instead of merely considering current marital status, the study compares marital biographies and the association with health in old age. Using the Survey of Health, Ageing and Retirement in Europe (SHARE), I investigate cross-country differences of marital and partnership biographies of a sample of more than 22,000 Europeans above age 50, from 14 European countries. I discuss national differences and similarities of the following components of the marital life course: current marital status, number of marriages, sequencing and timing of marital transitions, duration of marital status, number, type and timing of non-marital partnerships. In a second step, I analyse the association of the marital life course with health status in later life, using objective indicators of physical and cognitive health (grip strength, expiratory air flow, memory, verbal fluency). I address possible selection effects by adjusting for health and cognitive status during childhood. Results obtained by cross-sectional regressions show that married Europeans have better physical and cognitive health outcomes, compared to the never married and the separated. Widowed Europeans are disadvantaged in terms of cognitive health, but not physical health. With respect to marital biography, marriage before age 20 and remarriage are related to health deficits in old age, whereas length of a marriage shows no effect. Also multiple marital losses seem to affect physical health negatively. A longer period of widowhood is related to a decrease in cognitive health – regardless of current marital status. The latter finding is also supported by longitudinal fixed-effects regressions that draw on over 55,000 observations from 17 European countries and Israel.