Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast efficiency optimization techniques for the indirect vector-controlled induction motor drives

This paper presents two simple and very useful techniques for the efficiency optimization of the indirect vector-controlled induction motor drives. In the synchronously rotating reference frame the flux-producing current is controlled until the power at the DC link is minimum. Of the two techniques, the first method controls the flux-producing current in a regular and smooth manner. The second technique combines loss model and search approaches in a unique way to propose a hybrid method, where the first estimate is from the loss model approach and the subsequent adjustment of the flux is through the search technique. Both the algorithms are simple, easily realizable, and offer fast convergence. Also, smooth control of the flux offers excellent dynamic performance. A comparative assessment shows that the hybrid method is the best, even if an approximate equivalent circuit for the induction motor is used for the analysis and optimization of the losses. The close agreement between the simulation and the experimental results confirms the validity and usefulness of the proposed techniques.
Biculturalism amongst ethnic minorities: Its impact for individuals and intergroup relations

This review article offers an integration of acculturation, biculturalism, and intergroup relations research. Additionally, it argues that bicultural identities can be more accurately conceptualised as a third, hyphenated cultural identity (e.g., Chinese‐Australian), in addition to one's ethnic and the dominant national identity. In doing so, this article proposes that hyphenated cultural identities may be personally meaningful for many ethnic minorities and discusses the function of hyphenated cultural identification for individuals and society. Given the relevance of bicultural identification, it is argued that recognising and understanding a hyphenated cultural identity is fundamental to ethnic minorities' wellbeing, as well as improving the quality of intergroup relations in multicultural societies, such as Australia.
Semantic Schema Matching Semantic Schema Matching

We view match as an operator that takes two graph-like structures (e.g., XML schemas) and produces a mapping between the nodes of these graphs that correspond semantically to each other. Semantic schema matching is based on the two ideas: (i) we discover mappings by computing semantic relations (e.g., equivalence, more general); (ii) we determine semantic relations by analyzing the meaning (concepts, not labels) which is codified in the elements and the structures of schemas. In this paper we present basic and optimized algorithms for semantic schema matching, and we discuss their implementation within the S-Match system. We also validate the approach and evaluate S-Match against three state of the art matching systems. The results look promising, in particular for what concerns quality and performance.
‘Carriers of V‐LH among 1593 Baltic men have significantly higher serum LH’

Luteinizing hormone (LH) is a pituitary heterodimeric glycoprotein essential in male and female reproduction. Its functional polymorphic variant (V‐LH) is determined by two missense mutations (rs1800447, A/G, Trp8Arg; rs34349826, A/G, Ile15Thr) in the LH β‐subunit encoding gene (LHB; 19q13.3; 1111 bp; 3 exons). Among women, V‐LH has been associated with higher circulating LH and reduced fertility, but the knowledge of its effect on male reproductive parameters has been inconclusive. The objective of this study was to assess the effect of V‐LH on hormonal, seminal and testicular parameters in the Baltic young men cohort (n = 986; age: 20.1 ± 2.1 years) and Estonian idiopathic infertility patients (n = 607; 35.1 ± 5.9 years). V‐LH was detected by genotyping of the underlying DNA polymorphisms using PCR‐RFLP combined with resequencing of a random subset of subjects. Genetic associations were tested using linear regression under additive model and results were combined in meta‐analysis. No significant difference was detected between young men and infertility patients for the V‐LH allele frequency (11.0 vs. 9.3%, respectively). V‐LH was associated with higher serum LH in both, the young men cohort (p = 0.022, allelic effect = 0.26 IU/L) and the idiopathic infertility group (p = 0.008, effect = 0.59 IU/L). In meta‐analysis, the statistical significance was enhanced (p = 0.0007, resistant to Bonferroni correction for multiple testing; effect = 0.33 IU/L). The detected significant association of V‐LH with increased serum LH remained unchanged after additional adjustment for the SNPs previously demonstrated to affect LH levels (FSHB ‐211G/T, FSHR Asn680Ser, FSHR ‐29A/G). Additionally, a suggestive trend for association with reduced testicular volume was observed among young men, and with lower serum FSH among infertility patients. The V‐LH carrier status did not affect sperm parameters and other circulating reproductive hormones. For the first time, we show a conclusive contribution of V‐LH to the natural variance in male serum LH levels. Its downstream clinical consequences are still to be learned.
From idiocy to mental deficiency

No wonder you activities are, reading will be always needed. It is not only to fulfil the duties that you need to finish in deadline time. Reading will encourage your mind and thoughts. Of course, reading will greatly develop your experiences about everything. Reading from idiocy to mental deficiency is also a way as one of the collective books that gives many advantages. The advantages are not only for you, but for the other peoples with those meaningful benefits.
Application of Smooth Ergodic Hidden Markov Model in Text to Speech Systems

— In developing a text-to-speech system, it is well known that the accuracy of information extracted from a text is crucial to produce high quality synthesized speech. In this paper, a new scheme for converting text into its equivalent phonetic spelling is introduced and developed. This method is applicable to many applications in text to speech converting systems and has many advantages over other methods. The proposed method can also complement the other methods with a purpose of improving their performance. The proposed method is a probabilistic model and is based on Smooth Ergodic Hidden Markov Model. This model can be considered as an extension to HMM. The proposed method is applied to Persian language and its accuracy in converting text to speech phonetics is evaluated using simulations.
Constructing Symmetric Nonnegative Matrices withPrescribed Eigenvalues by Di erential

We propose solving the inverse eigenvalue problem for symmetric nonnegative matrices by means of a di erential equation. If the given spectrum is feasible, then a symmetric nonnegative matrix can be constructed simply by following the solution curve of the di erential system. The choice of the vector eld is based on the idea of minimizing the distance between the cone of symmetric nonnegative matrices and the isospectral surface determined by the given spectrum. We explicitly describe the projected gradient of the objective function. Using center manifold theory, we also show that the ! -limit set of any solution curve is a single point. Some numerical examples are presented.
Economics and theory of the firm

ion which does not help to understand the working of the economic system. My aim is to bring existence an economic theory which is solidly based (ibid, p. 97). It is therefore clear that the definition of the firm in the real world and in the analysis is a fundamental issue in Coase’s work, leading to possible propositions on what is a theory to understand how economic systems work. ha ls hs -0 07 42 30 2, v er si on 1 16 O ct 2 01 2
From Context to Content: Leveraging Context for Mobile Media Metadata

The recent popularity of mobile camera phones allows for new opportunities to gather important metadata at the point of capture. This paper describes and demonstrates a method for generating metadata for images using spatial, temporal, and social context. We describe a system we implemented for inferring location information for pictures taken with camera phones. We propose that leveraging contextual metadata at the point of capture can bridge the problems of the semantic and sensory gaps. In particular, combining and sharing spatial, temporal, and social contextual metadata from a given user and across users allows us to make inferences about media content .
Probabilistic System Summaries for Behavior Architecting

Smart system of systems adapt to their context, current situation, and configuration. To engineer such systems’ behavior, we need to design and eval-uate system-level control strategies and the intelligent management of key scenarios. We propose a model-based approach called probabilistic system summaries to explore related design choices, e.g., where to put the ‘smarts’ of a smart building. Our approach uses Bayesian inference to calculate effects of strategies and implementations, offering causal analysis of the costs and bene-fits of decision strategies in key scenarios. As the modeling is light-weight and suitable for various abstraction levels, probabilistic system summaries are appropriate for early but sound architecture decisions based on computational science. Next to its use within this analysis, the product of this engineering step, i.e., a Bayes net summarizing systems plus their environment, may form the core of decision making within the system of system.
Bundling and Simultaneity Effects on Variety Seeking for Consumable and Digital Goods

A preference for greater variety when selecting consumable goods as bundles in simultaneous choice rather than as a sequential series of individual decisions is a consistent result in prior literature. However, digital goods (e.g., music) have a number of important differences from consumable goods (e.g., candy). We address two general research questions. First, we disentangle the role of selecting bundles from the role of simultaneity vs. sequential choice as factors in variety seeking with consumable goods. Second, we discuss the differences between digital and consumable goods and investigate whether variety seeking diminishes for choices of digital goods as hypothesized. Results both clarify the conditions for variety seeking for consumable goods and identify reductions in the behavior with digital goods.
A Brain-Based Account of the Development of Rule Use in Childhood

The ability to follow explicit rules improves dramatically during the course of childhood, but relatively little is known about the changes in brain structure and function that underlie this behavioral improvement. Drawing from neuroscientific studies in human adults and other animals, as well as from an emerging literature in developmental cognitive neuroscience, we propose a brain-based account of the development of rule use in childhood. This account focuses on four types of rules represented in different parts of the prefrontal cortex: simple rules for reversing stimulus–reward associations, pairs of conditional stimulus–response rules (both univalent and bivalent), and higher-order stimulus–response rules for selecting among task sets. It is hypothesized that the pattern of developmental changes in rule use reflects the different rates of development of specific regions within the prefrontal cortex.
On Approximating the Best Decision for an Autonomous Agent

In this paper we are concerned with decision making in autonomous agents and, in particular, the tradeoff between the optimal solution provided by MDPs and the more tractable approximation provided by the BDI model. In order to establish the relative performance of the approaches for the TILEWORLD domain, we have to first find approximations for the optimal MDP solution, and we demonstrate that even these approximations out-perform the BDI model for small domains. However, for large domains these approximations are less effective and the BDI approach performs better.
The practice educator lens: Bringing student practice into focus using the direct observation

This paper is based on the presentation given at the 11th International Conference in Belfast (April 2016). The article explores the experience of the direct observation from the practice educator perspective with students undertaking practice placements as part of the pre-qualifying programmes for Social Work within England. It seeks to explore some of the issues present within the direct observation as a tool ‘for’ and ‘of’ assessment and how fundamental it can be to ascertain competence within a real experience for students working with service users. It raises the question of what is a ‘good enough’ direct observation from a service user perspective and how this informs the recommendation of a pass of the practice placement. It proposes that there are some latent challenges in setting a benchmark within the direct observation however doing so would allow a clearer focus on the assessment process.Keywords: practice education; direct observation; placements; assessment; service users
Experiencing Derrida through a Communal Friendship

The purpose of this paper is to present two interlinked issues: an exploratory field study into friendship in rural and remote island communities of the Zadar archipelago and the usefulness of an ethnographic storytelling approach to the academic research. It is widely acknowledged that remote and rural island communities face many obstacles; an ongoing litoralisation, emigration, a fear of losing the identity and a creation of the ghost villages. The study reveals how friendship emerges as a fundamental behavioural trait amongst the members of our rural island community. At the first sign, it appears to be an unintentional effect of the nature; as a bare necessity of survival, which precedes any personal emotional attachment or choice. Later, it descends into the intentional one, “be a human”, an act of friendship that is often forgotten but necessary for creating the self-sufficient communities. Friendship, seen as a communal friendship in this sense, becomes the choice of survival for the island communities. It has a socio-economic value. Viewing friendship as such, arguably, is useful in better understanding what drives a sustainable economic development that is crucial to the survival of the remote and rural island communities. Through the ethnographic storytelling, the paper discusses the usefulness of ethnography as a Critical Theory, focusing particularly on a better understanding of the terrain in the field research. How to translate the terrain is open to various interpretations. Drawing on the field experience, this study explores the terrain of the relationships within the island communities. This terrain could be seen as a spatiotemporal circumstance and this includes considering the historical, socio-economic and cultural aspects of the terrain in question. The study also addresses some translation issues with the help from the storytelling. Stories, visual and oral, are presented as acts of friendship as they happened. They enrich our understanding of the terrain and help us to decide on our own terrain. In this sense storytelling and ethnography co-exist, and as such, they allow us to gain the insight into the intangible aspects that are otherwise difficult to capture with the conventional research techniques, hence the term an ethnographic storytelling.
Methylation-Mediated Molecular Dysregulation in Clinical Oral Malignancy

Herein we provide a concise review of the state of methylation research as it pertains to clinical oral cancerous and precancerous tissues. We provide context for ongoing research efforts in this field and describe technologies that are presently being applied to analyze clinical specimens. We also discuss the various recurrent methylation changes that have been reported for oral malignancy (including those genes frequently silenced by promoter methylation and the small RNAs with activity modulated by methylation changes) and describe surrogate disease markers identified via epigenetic analysis of saliva and blood specimens from patients with oral cancer.
Identify drug repurposing candidates by mining the Protein Data Bank

Predicting off-targets by computational methods is gaining increasing interest in early-stage drug discovery. Here, we present a computational method based on full 3D comparisons of 3D structures. When a similar binding site is detected in the Protein Data Bank (PDB) (or any protein structure database), it is possible that the corresponding ligand also binds to that similar site. On one hand, this target hopping case is probably rare because it requires a high similarity between the binding sites. On the other hand, it could be a strong rational evidence to highlight possible off-target reactions and possibly a potential undesired side effect. This target-based drug repurposing can be extended a significant step further with the capability of searching the full surface of all proteins in the PDB, and therefore not relying on pocket detection. Using this approach, we describe how MED-SuMo reproduces the repurposing of tadalafil from PDE5A to PDE4A and a structure of PDE4A with tadalafil. Searching for local protein similarities generates more hits than for whole binding site similarities and therefore fragment repurposing is more likely to occur than for drug-sized compounds. In this work, we illustrate that by mining the PDB for proteins sharing similarities with the hinge region of protein kinases. The experimentally validated examples, biotin carboxylase and synapsin, are retrieved. Further to fragment repurposing, this approach can be applied to the detection of druggable sites from 3D structures. This is illustrated with detection of the protein kinase hinge motif in the HIV-RT non-nucleosidic allosteric site.
Drosophila models of cancer

1 Cell Cycle and Development Laboratory, Research Division, Peter MacCallum Cancer Centre, 7 St Andrew’s place, East Melbourne, Melbourne, Victoria, 3002, Australia 2 Sir Peter MacCallum Department of Oncology, Peter MacCallum Cancer Centre, 7 St Andrew’s place, East Melbourne, Melbourne, Victoria, 3002, Australia 3 Department of Anatomy and Neuroscience, University of Melbourne, 1-100 Grattan street, Parkville, Melbourne, Victoria, 3010, Australia 4 Department of Biochemistry and Molecular Biology, University of Melbourne, 1-100 Grattan street, Parkville, Melbourne, Victoria, 3010, Australia
Generic parameter control with reinforcement learning

Parameter control in Evolutionary Computing stands for an approach to parameter setting that changes the parameters of an Evolutionary Algorithm (EA) on-the-fly during the run. In this paper we address the issue of a generic and parameter-independent controller that can be readily plugged into an existing EA and offer performance improvements by varying the EA parameters during the problem solution process. Our approach is based on a careful study of Reinforcement Learning (RL) theory and the use of existing RL techniques. We present experiments using various state-of-the-art EAs solving different difficult problems. Results show that our RL control method has very good potential in improving the quality of the solution found without requiring additional resources or time and with minimal effort from the designer of the application.
Impact of Making Textile Handcrafts on Mood Enhancement and Inflammatory Immune Changes

Abstract The authors hypothesized that a textile art-making activity that was high in arousal, engagement, and positive mood and low in rumination and negative affect would be most effective for mood repair and would buffer inflammatory immune reactions. Forty-seven experienced textile handcrafters were asked to recall an upsetting situation before random assignment to either textile art making, quiet ego contemplation (neutral), or writing (to maintain negative mood). Textile art making promoted the strongest positive mood, highest arousal and engagement, and lowest rumination and negative mood. Only the writing task was associated with cytokine disturbance. Results suggest that high energy, engaging art-making tasks that focus on positive mood may be important for well-being.
Unsupervised spoken word retrieval using Gaussian-bernoulli restricted boltzmann machines

The objective of this work is to explore a novel unsupervised framework, using Restricted Boltzmann machines, for Spoken Word Retrieval (SWR). In the absence of labelled speech data, SWR is typically performed by matching sequence of feature vectors of query and test utterances using dynamic time warping (DTW). In such a scenario, performance of SWR system critically depends on representation of the speech signal. Typical features, like mel-frequency cepstral coefficients (MFCC), carry significant speaker-specific information, and hence may not be used directly in SWR system. To overcome this issue, we propose to capture the joint density of the acoustic space spanned by MFCCs using Gaussian-Bernoulli restricted Boltzmann machine (GBRBM). In this work, we have used hidden activations of the GBRBM as features for SWR system. Since the GBRBM is trained with speech data collected from large number of speakers, the hidden activations are more robust to the speaker-variability compared to MFCCs. The performance of the proposed features is evaluated on Telugu broadcast news data, and an absolute improvement of 12% was observed compared to MFCCs.
Work stress and risk of cardiovascular mortality: prospective cohort study of industrial employees

Abstract Objective: To examine the association between work stress, according to the job strain model and the effort-reward imbalance model, and the risk of death from cardiovascular disease. Design: Prospective cohort study. Baseline examination in 1973 determined cases of cardiovascular disease, behavioural and biological risks, and stressful characteristics of work. Biological risks were measured at 5 year and 10 year follow up. Setting: Staff of a company in the metal industry in Finland. Participants: 812 employees (545 men, 267 women) who were free from cardiovascular diseases at baseline. Main outcome measure: Cardiovascular mortality 1973-2001 from the national mortality register. Results: Mean length of follow up was 25.6 years. After adjustment for age and sex, employees with high job strain, a combination of high demands at work and low job control, had a 2.2-fold (95% confidence interval 1.2 to 4.2) cardiovascular mortality risk compared with their colleagues with low job strain. The corresponding risk ratio for employees with effort-reward imbalance (low salary, lack of social approval, and few career opportunities relative to efforts required at work) was 2.4 (1.3 to 4.4). These ratios remained significant after additional adjustment for occupational group and biological and behavioural risks at baseline. High job strain was associated with increased serum total cholesterol at the 5 year follow up. Effort-reward imbalance predicted increased body mass index at the 10 year follow up. Conclusions: High job strain and effort-reward imbalance seem to increase the risk of cardiovascular mortality. The evidence from industrial employees suggests that attention should be paid to the prevention of work stress.
Towards more efficient Software Engineering with formal MDA

In Model driven architecture (MDA) domain experts model their knowledge in a modeling language at a higher abstraction level than source code. The mapping from domain models to source code is often performed automatically, but programmers still have to implement many details manually. MDA brings domain experts and programmers closer together and makes the communication gap smaller. Often this is accomplished through visual modeling tools using UML. These and many other widely accepted advantages of MDA contribute to the ever growing popularity of MDA. However, there are still some shortcomings of MDA that may be resolved by incorporating formal descriptions.