Miracle-dz/UniFAR-FTUs huggingface dataset:
Coping with service failures: The role of emotional intelligence, self‐efficacy and intention to complain

Purpose – This study seeks to draw on the theories of personality to investigate antecedents and outcomes of consumer coping in instances of service failure. Specifically, the authors focus on the effects of emotional intelligence and self‐efficacy on three coping strategies – active, expressive, and denial. The authors further investigate the effects of coping strategies on consumer intention to complain.Design/methodology/approach – An online panel of 252 respondents representative of the Australian population participated in this study. Structural equation modelling was used to analyze data and test hypothesized relationships.Findings – Emotional intelligence has a positive association with active and expressive coping strategies but a negative relationship with denial. Expressive coping leads to greater complaining, whereas denial decreases it. Furthermore, consumer self‐efficacy mediates the relationship between emotional intelligence and active coping strategy. In contrast, the effect of self‐effica.
Optoacoustic Imaging and Tomography: Reconstruction Approaches and Outstanding Challenges in Image Performance and Quantification

This paper comprehensively reviews the emerging topic of optoacoustic imaging from the image reconstruction and quantification perspective. Optoacoustic imaging combines highly attractive features, including rich contrast and high versatility in sensing diverse biological targets, excellent spatial resolution not compromised by light scattering, and relatively low cost of implementation. Yet, living objects present a complex target for optoacoustic imaging due to the presence of a highly heterogeneous tissue background in the form of strong spatial variations of scattering and absorption. Extracting quantified information on the actual distribution of tissue chromophores and other biomarkers constitutes therefore a challenging problem. Image quantification is further compromised by some frequently-used approximated inversion formulae. In this review, the currently available optoacoustic image reconstruction and quantification approaches are assessed, including back-projection and model-based inversion algorithms, sparse signal representation, wavelet-based approaches, methods for reduction of acoustic artifacts as well as multi-spectral methods for visualization of tissue bio-markers. Applicability of the different methodologies is further analyzed in the context of real-life performance in small animal and clinical in-vivo imaging scenarios.
LOCALIZATION OF SNARES, NSF AND CAVEOLIN 1 IN HUMAN SPERMATOZOA: RELATIONSHIP WITH SEMINAL PARAMETERS

Membrane fusion is a very important process in gametes. The mechanism of membrane fusion during the AR has been proposed to involve SNAREs. Our aim is to quantify patterns of localization of Caveolin 1, SNAREs (Syntaxin 1A, Syntaxin 2 and VAMP 1) and NSF on human sperm, to determine how the differential distribution of these proteins might be interdependent and to evaluate if this distribution is related with seminal parameters. These proteins are present in different regions of the head of human sperm: anterior, equatorial and posterior regions and that Syntaxin 2 and Syntaxin 1A had a slightly different pattern of labelling. The presence and localization of SNAREs, NSF and Caveolin 1 do not correlate with seminal parameters. There is significant correlation between NSF and SNAREs, which may indicate a cooperation of these proteins in membrane fusion mechanisms of human sperm.
Attention modulation of complex motion patterns in human visual cortex

When we are moving through the environment, our visual system exposes to a barrage of motion information about the objects around us as well as our own heading. Processing such an amount of incoming sensory data is beyond the power of the available processing resources. Thus, our visual system is provided with several mechanisms to select the most relevant information. Selective visual attention is one key solution to filter out the incoming visual information based on their relevance for the behavior. Visual attention emphasizes the representation of the behaviorally significant stimuli by dedicating the limited visual processing resources to them at the expense of the irrelevant information. Visual motion information is getting processed in a hierarchy of visual areas termed as the “dorsal stream”, which starts in primary visual cortex (area V1) and ends in parietal lobe. Among the visual areas in the dorsal stream, middle temporal area (MT) and medial superior temporal area (MST) have the key role in visual motion processing for their preponderance of motion-sensitive neurons. In this PhD dissertation, I studied the influence of attention on processing of complex motion information in human visual system. I used so called “spiral motion” patterns as the probe stimuli to simulate complex motion patterns. In the second chapter, I investigated the neuronal correlates of attention in response to “spiral” stimuli using functional magnetic resonance imaging (fMRI). I assessed the tuning as well as the influence of attention on such a hypothetical tuning to spiral motions in MT and MST areas in the dorsal stream of the human visual cortex, in addition to examining the influence of attention on the hemodynamic responses to spiral motion patterns. In the third chapter, I investigated the behavioral correlates of graded attention in discriminating spiral motions in a human psychophysics study.
PPS: A computing engine to find Palindromes in all Protein sequences

The primary structure of a protein molecule comprises a linear chain of amino acid residues. Certain parts of this linear chain are unique in nature and function. They can be classified under different categories and their roles studied in detail. Two such unique categories are the palindromic sequences and the Single Amino Acid Repeats (SAARs), which plays a major role in the structure, function and evolution of the protein molecule. In spite of their presence in various protein sequences, palindromes have not yet been investigated in detail. Thus, to enable a comprehensive understanding of these sequences, a computing engine, PPS, has been developed. The users can search the occurrences of palindromes and SAARs in all the protein sequences available in various databases and can view the three-dimensional structures (in case it is available in the known three-dimensional protein structures deposited to the Protein Data Bank) using the graphics plug-in Jmol. The proposed server is the first of its kind and can be freely accessed through the World Wide Web. Availability URL http://pranag.physics. iisc.ernet. in/pps/
Automatic tools for fault detection and diagnostic of HVAC systems for hotel and office building Ph

Faults and malfunctioning of HVAC systems in building can lead to important waste of energy, decrease of user’s comfort and deterioration of building and its facilities. These faults are sometime difficult to detect with present tools and can remain in the building during long period of time. The aim of our survey is to develop automatic Faults Detection Diagnostic (FDD) tools for helping building managers or building engineers to improve their task of Buildings facilities supervision.
BIOTECHNOLOGICALLY RELEVANT ENZYMES AND PROTEINS Expression and characterization of (R)-specific enoyl coenzyme A hydratases making a channeling route to polyhydroxyalkanoate biosynthesis in Pseudomonas putida

We investigated the expression of (R)-specific enoyl coenzyme A hydratase (PhaJ) in Pseudomonas putida KT2440 accumulating polyhydroxyalkanoate (PHA) from sodium octanoate in order to identify biosynthesis pathways of PHAs from fatty acids in pseudomonads. From a database search through the P. putida KT2440 genome, an additional phaJ gene homologous to phaJ4Pa from Pseudomonas aeruginosa, termed phaJ4Pp, was identified. The gene products of phaJ1Pp, which was identified previously, and phaJ4Pp were confirmed to be functional in recombinant Escherichia coli on PHA synthesis from sodium dodecanoate. Cytosolic proteins from P. putida grown on sodium octanoate were subjected to anion exchange chromatography and one of the eluted fractions with hydratase activity included PhaJ4Pp, as revealed by western blot analysis. These results strongly suggest that PhaJ4Pp forms a channeling route from βoxidation to PHA biosynthesis in P. putida. Moreover, the substrate specificity of PhaJ1Pp was suggested to be different from that of PhaJ1Pa from P. aeruginosa although these two proteins share 67% amino acid sequence identity.
The type, amount, frequency and timing of dietary supplement use by elite players in the First Spanish Basketball League

The aims of this study were to determine the type, frequency and amount of dietary supplement consumption among a group of professional basketball players. The type, amount and specific timing of supplement use were recorded by 55 professional basketball players from seven different teams of the First Spanish Basketball League. Most participants (58%) consumed dietary supplements. Multivitamins and vitamins were the most frequently used supplements among the athletes (50.9%), followed by sport drinks (21.8%), miscellaneous supplements (21.8%), amino acids (14.5%), proteins (12.7%) and carbohydrates (12.7%). The average daily dietary supplement was one capsule of multivitamins, one capsule of antioxidant vitamins, 0.2-1.0 g vitamin C, 10.3 g protein, 1.9 g amino acids, 16.2 g carbohydrates and 377 ml of a commercial sport drink. Although the proportion of participants who consumed dietary supplements before, during and immediately after exercise was 25.4%, 16.3% and 7.3% respectively, only a few consumed a potentially ergogenic supplement at these times. It would appear unlikely that the type or amount of dietary supplements consumed had a beneficial effect on the physical performance of these professional basketball players, with the possible exception of antioxidant vitamins and the commercial sport drinks.
Identification and structure solution of fragment hits against kinetoplastid N-myristoyltransferase

N-Myristoyltransferase (NMT) has been shown to be an attractive target for the development of novel therapeutic agents for the treatment of human African trypanosomiasis. A fragment library has been screened using NMR spectroscopy and the binding mode of the hits was confirmed by X-ray crystallography using L. major NMT as a structural surrogate.
Energy management in smart cities

Models and simulators have been widely used in urban contexts for many decades. The drawback of most current models is that they are normally designed for specific objectives, so the elements considered are limited and they do not take into account the potential synergies between related systems. The necessity of a framework to model complex smart city systems with a comprehensive smart city model has been remarked by many authors. Therefore, this PhD thesis presents: i) a general conceptual framework for the modelling of energy related activities in smart cities, based on determining the spheres of influence and intervention areas within the city, and on identifying agents and potential synergies among systems, and ii) the development of a holistic energy model of a smart city for the assessment of different courses of action, given its geo-location, regulatory and technical constraints, and current energy markets. This involves the creation of an optimization model that permits the optimal planning and operation of energy resources within the city.
Self-Compassion Scale 한국 번역판의 타당화 연구

본 연구에서는 자기자비심 척도(Self-Compassion Scale: SCS)를 한국어로 번안하여 한국 번역판 자기자비심 척도(K-SCS)를 제작하고 총 482명의 대학생을 대상으로 설문조사를 실시하여 이 척도에 대한 신뢰도 및 타당도를 검증하였다. 그 결과, K-SCS의 내적합치도 계수(α)는 . 91로 높았고, 문항-총점 간 상관계수도 . 35에서 . 68로 높은 상관을 보여 만족스러운 신뢰도 수준이 확인되었다. 확인적 요인분석 결과 K-SCS는 3개의 하위 차원 각각에서 2가지 요인을 가져 총 6개의 하위요인으로 구성된 것으로 나타났고, K-SCS가 자아수용, 긍정적 대인관계, 정서지능 및 자아존중감과 유의미한 정적 상관을 보이고 자기비판성과는 유의미한 부적 상관을 보임으로써 구인타당도와 수렴타당도가 확인되었다. 또한 위계적 중다회귀분석 결과 자기자비심이 자아수용, 긍정적 대인관계, 정서지능 및 자아존중감의 설명량을 넘어 우울과 불안 등의 정신병리 부재를 예측하는데 있어 고유변량을 지니는 것으로 나타나 증분타당도가 확인되었다. 마지막으로, K-SCS의 활용성 등과 관련한 연구의 의의와 본 연구의 제한점 및 이후 연구 방향에 대해 논의하였다.
Lack of validation of variants associated with cervical dystonia risk: A GWAS replication study

A recent genome‐wide association study (GWAS) has identified a putative association, not statistically confirmed, of cervical dystonia within several regions in a British population. Hence, the authors proposed dysfunction of the ion channel NALCN (for sodium leak channel, nonselective) as a plausible cause of cervical dystonia. The objective of our study was to investigate the association of five single nucleotide polymorphisms (SNPs) previously reported with high signals as putative genetic risk factors for cervical dystonia in a British GWAS, including two located in the NALCN gene region.
Serum Iron Increases with Acute Inductionof Hepatic Heme Oxygenase-1 in Mice

Heme oxygenase (HO)-1 is induced by oxidative stress and protects against oxidant injury. We examined the effect of rapid induction of hepatic HO-1 on serum iron level. Serum iron was approximately doubled within 6 h when HO-1 was induced by phenobarbital treatment of selenium-deficient mice. Blocking heme synthesis with diethyl 1,4-dihydro-2,4,6-trimethyl-3,5-pyridinedicarboxylate (DDC) prevented the induction of HO-1 and the rise in serum iron. DDC did not block HO-1 induction by hemin. Inhibition of HO activity by tin protoporphyrin prevented a rise in serum iron that occurred following phorone treatment. These results indicate that heme synthesis or an exogenous source of heme is needed to allow induction of HO-1. Further, they link HO-1 induction with a rise in serum iron, suggesting that the iron resulting from catabolism of heme by HO-1 is released by the liver.
Direct conversion from facial myoelectric signals to speech using Deep Neural Networks

This paper presents our first results using Deep Neural Networks for surface electromyographic (EMG) speech synthesis. The proposed approach enables a direct mapping from EMG signals captured from the articulatory muscle movements to the acoustic speech signal. Features are processed from multiple EMG channels and are fed into a feed forward neural network to achieve a mapping to the target acoustic speech output. We show that this approach is feasible to generate speech output from the input EMG signal and compare the results to a prior mapping technique based on Gaussian mixture models. The comparison is conducted via objective Mel-Cepstral distortion scores and subjective listening test evaluations. It shows that the proposed Deep Neural Network approach gives substantial improvements for both evaluation criteria.
Supporting prospective information in email

Email usage frequently involves management of future actions and events. We believe that understanding the requirements of prospective memory should lead to the design of email tools that better support this functionality. In a recent study, we examined prospective email use and explored processes involved in managing time-sensitive email messages. The study results indicated areas that lack appropriate support for handling future actions in email. The study also found relationships between prospective email usage and users' organization habits. We draw on research in prospective memory to guide the design of email tools that will provide better support for handling future actions.
Computational principles of syntax in the regions specialized for language: integrating theoretical linguistics and functional neuroimaging

The nature of computational principles of syntax remains to be elucidated. One promising approach to this problem would be to construct formal and abstract linguistic models that parametrically predict the activation modulations in the regions specialized for linguistic processes. In this article, we review recent advances in theoretical linguistics and functional neuroimaging in the following respects. First, we introduce the two fundamental linguistic operations: Merge (which combines two words or phrases to form a larger structure) and Search (which searches and establishes a syntactic relation of two words or phrases). We also illustrate certain universal properties of human language, and present hypotheses regarding how sentence structures are processed in the brain. Hypothesis I is that the Degree of Merger (DoM), i.e., the maximum depth of merged subtrees within a given domain, is a key computational concept to properly measure the complexity of tree structures. Hypothesis II is that the basic frame of the syntactic structure of a given linguistic expression is determined essentially by functional elements, which trigger Merge and Search. We then present our recent functional magnetic resonance imaging experiment, demonstrating that the DoM is indeed a key syntactic factor that accounts for syntax-selective activations in the left inferior frontal gyrus and supramarginal gyrus. Hypothesis III is that the DoM domain changes dynamically in accordance with iterative Merge applications, the Search distances, and/or task requirements. We confirm that the DoM accounts for activations in various sentence types. Hypothesis III successfully explains activation differences between object- and subject-relative clauses, as well as activations during explicit syntactic judgment tasks. A future research on the computational principles of syntax will further deepen our understanding of uniquely human mental faculties.
Female, but not male, nematodes evolve under experimental sexual coevolution

Coevolution between the sexes is often considered to be male-driven: the male genome is constantly scanned by selection for traits that increase relative male fertilization success. Whenever these traits are harmful to females, the female genome is scanned for resistance traits. The resulting antagonistic coevolution between the sexes is analogous to Red Queen dynamics, where adaptation and counteradaptation keep each other in check. However, the underlying assumption that male trait evolution precedes female trait counteradaptation has received few empirical tests. Using the gonochoristic nematode Caenorhabditis remanei, we now show that 20 generations of relaxed versus increased sexual selection pressure lead to female, but not to male, trait evolution, questioning the generality of a male-driven process.
Co-development of information transfer within and between infant and caregiver

This paper presents a computational approach to measuring information transfer in infant-caregiver interaction. It is supposed that both an infant and a caregiver mutually shape the interaction by sending various signals to each other, of which the dynamic structure changes according to the infant's age. We investigated such developmental change both in infants and caregivers by measuring transfer entropy within and between their body movements. Our analysis demonstrated that infants significantly improve their body coordination and social contingency between 6 to 13 months of age. Their gaze, for example, start responding to caregivers' gaze, which indicates the development of joint attention. The coordination between infants' two hands also drastically improves as they grow. Of particular interest is that such development in infants elicits caregivers' adaptation. Caregivers change their social responses and body coordination to a more sophisticated manner in order to further facilitate infant development. Our approach is the first study to quantitatively verify the “co-development” of infants and caregivers, which appears as increases in information transfer within and between their behaviors.
Aggregate keyword routing in spatial database

Due to the proliferation of Location-Based Service and popularity of online geo-tagged web pages, spatial keyword search has attracted significant attention from both academic and industrial communities. In this paper, we study the problem of finding the nearest aggregate point from multiple query points travelling through a set objects described by a given set of keywords, as well as the optimal routes from the query points to the aggregate point. This problem is defined as the Aggregate Keyword Routing (AKR) Query. We devise an exact algorithm to AKR query based on ellipse pruning. Next we propose an efficient approximate algorithm for AKR: Center Based Assignment (CBA). The performance of the proposed algorithms are evaluated with real data, the results demonstrate the efficiency and the effectiveness.
Towards an e-Service Knowledge System for Improving the Quality and Adoption of e-Services

The purpose of this article is to highlight the limitations and drawbacks of existing knowledge about e-service quality and e-service user acceptance. To overcome these limitations we will propose some solutions. An extensive review of relevant literature has shown that a lot of research has already been conducted in this field. However, there is still a gap between the percentage of existing e-services and the percentage of those that are actually being used. We believe that existing knowledge could be better used by e-service researchers and especially by e-service providers, if they would have a knowledge system that would be capable of synthesizing the existing knowledge and presenting it in a more people-friendly format. The practical outcome of this article is a proposal for an e-service knowledge system, which could be used to improve the quality and user acceptance of e-services.
Storytelling and Theatre: Contemporary Professional Storytellers and their Art

This book will be of particular interest to undergraduates of performing arts and the substantial community of those engaged in storytelling, filling a noticeable void in an emerging field of scholarship. Michael Wilson addresses the recent rise of storytelling as a professional performance art by providing a critical survey of current practice and a critical framework for those debates currently taking place, and those debates which will undoubtedly emerge in future. The text includes critical analysis of a range of practices alongside interviews with key contemporary practitioners about their work.
Design of WLS FIR filters with group delay constraint

This paper presents a weighted least-squares method for the design of real coefficient finite impulse response digital filters with arbitrary magnitude and group delay responses. To meet with both the prescribed magnitude response and group delay, a complex magnitude constraint and an explicit group delay constraint are imposed in the design formulation. Through analytical derivation of the group delay and its gradient, the group delay error is linearized by a sequence of approximations, each of which can be cast and solved efficiently in the second-order cone programming (SOCP) framework.
Ambulatory Brain-Computer Interface in Outdoor Environment toward Indexing of Lifelog

Brain-Computer Interface (BCI) has been more and more investigated today by using ElectroEncephaloGram (EEG). Usually, the BCI is applied to the subjects in sitting conditions to have high quality of the EEG. Such limited condition has prevented the users to use the novel interfacing system in their ordinary lives. In this paper, toward the life log application, we developed a prototype of wearable BCI system which enables us to operate it in ambulatory condition in outdoor environment. By using the auditory stimulations in oddball paradigm, the EEG was recorded in learning phase, and the classification of P300 signals was performed in the following testing phase. The users equipped the system and walked in outdoor to make online life log indexing. As the results, in this preliminary study, it is suggested that the BCI system could successfully record the target scenes in real-time only from the user's brain activities.