Miracle-dz/UniFAR-FTUs huggingface dataset:
MacCannell revisited in the World Heritage Kvarken Archipelago, Finland

Inspired by Dean MacCannell's Attraction theory, I will, in this paper, examine the possibilities of turning a coastal area, with no previous attempt of being a tourist destination, into a worldwide unique destination. Can a place without a history of ‘imaginaries’ become a successful image in a touristic sense? My case study is the World Heritage (WH) site Kvarken Archipelago on the West coast of Finland in the region of Ostrobothina. As the first WH in Finland based on natural uniqueness, designated in 2006, the Kvarken Archipelago is confronted with many challenges. The area is inhabited, a socio-economic locus for 2500 local inhabitants, where the WH status has been incorporated as an important asset of regional development during the last 4–5 years. My main research question is: Does the WH Kvarken Archipelago have the attributes of a tourist attraction?
Visual Inspection and Statistical Analysis in Single-Case Designs

AbstractPast research has questioned the reliability of visual inspection in single-case research. It has also reported or called for the use of statistical analysis in single-case research. The present study randomly selected 44 graphs from recent issues (1975–1985) of the Journal of Applied Behavior Analysis. The study found moderate agreement (56–74%) of visual significance among a panel of five judges. The judges also detected a rather low proportion (48%) of significant differences between the adjacent phases of published graphs. A randomization test was applied to a subset (n = 15) of the graphs and found statistical significance between only four of the adjacent phases. Considerable agreement (80%) was found between the visual inspection and statistical procedures, although most of it involved agreement of the nonsignificance of treatment effects. It was recommended that future single-case research jointly utilize visual and statistical procedures when determining significance. It was also suggeste.
Trust : making and breaking cooperative relations

Part 1 Trust considered: formal structures and social reality, Bernard Williams the biological evolution of co-operation and trust, Patrick Bateson individuals, interpersonal relations and trust, David Good trust as a commodity, Partha Dasgupta trust and political agency, John Dunn familiarity, confidence, trust - problems and alternatives, Niklas Luhmann. Part 2 Trust observed: three ironies in trust, Geoffrey Hawthorn the distraction of trust and its economic consequences in the case of 18th-century Naples, Anthony Pagden trust, cohesion and the social order, Ernest Gellner mafia - the price of distrust, Diego Gambetta kinship, contract and trust - the economic organization of migrants in an African city slum, Keith Hart neither friends nor strangers - informal networks of subcontracting in French industry, Edward Lorenz.
Knock, knock, anybody home? Psychological availability as link between work and relationship

This research investigated how negative and positive residuals of the workday spill over into the partner relationship. To unravel the mechanism of this spillover, this study introduces the concept of “psychological availability,” which refers to the individual’s ability and motivation to direct psychological resources at the partner. A survey was conducted among 313 Dutch dual-earner couples with children, using dyadic data analysis to analyze both partners simultaneously in 1 model. Psychological availability mediated the link between negative and positive work-related residuals (i.e., work-related negative mood, exhaustion, rumination and work-related positive mood and vigor, respectively) and marital behavior. The findings suggest that partners’ workday residuals spill over into the marital relationship through being more or less psychologically available for each other. When Adriana comes home at night, she is worn out from a busy day at work and while she is putting away the groceries and starting dinner, she finds herself pondering an argument she had with her colleague that day. In the meantime, her husband Martin is talking about his day at work. Although she is physically present, she does not have the energy or the mental capacity to really hear what he is telling her and to respond adequately. He, in turn, interprets her absent-mindedness as a lack of interest and withdraws behind his newspaper. Interactions like these are undoubtedly familiar to many of those who combine work and family life. Being attentive toward one’s partner can be quite a challenge
Brain-computer interfaces for 3D games: hype or hope?

Brain-Computer Interfaces (BCI) are communication systems conveying messages through brain activity only. This paper elaborates on the suitability of BCI for 3D Video Games (VG). Thus, we first review some recent BCI-based 3D VG. We then discuss the limitations of current BCI technology, those being mainly related to usability and performances. Finally, we report on some areas in which BCI could be useful for 3D VG despite their limitations. More precisely, BCI could be useful as an additional control channel, to send commands that cannot be intuitively sent with other devices. BCI could also be used for mental state monitoring either 1) during the game, in order to make adaptive and dynamic video games or 2) during the game creation in order to maximizes some measures of game quality that could be derived from a tester's mental state.
Selecting static and dynamic features using an advanced auditory model for speech recognition

We describe a method to select features for speech recognition that is based on a quantitative model of the human auditory periphery. The method maximizes the similarity of the geometry of the space spanned by the subset of features and the geometry of the space spanned by the auditory model output. The selection method uses a spectro-temporal auditory model that captures both frequency- and time-domain masking. The selection method is blind to the meaning of speech and does not require annotated speech data. We apply the method to the selection of a subset of features from a conventional set consisting of mel cepstra and their first-order and second-order time derivatives. Although our method uses only knowledge of the human auditory periphery, the experimental results show that it performs significantly better than feature-reduction algorithms based on linear and heteroscedastic discriminant analysis that require training with annotated speech data.
Open string field theory without open strings

Witten’s cubic open string field theory is expanded around the perturbatively stable vacuum, including all scalar fields at levels 0, 2, 4 and 6. The (approximate) BRST cohomology of the theory is computed, giving strong evidence for the absence of physical open string states in this vacuum.
Empowering at‐risk students through appreciative inquiry

Purpose – The purpose of this study is to identify how at‐risk high school students in an alternative school describe how they best learn and to extrapolate their preferred learning practices to improve teacher pedagogical practices.Design/methodology/approach – The authors used a qualitative case study design to facilitate the first two stages of an appreciative inquiry (AI) 4‐D cycle – discovery and dream. Eight alternative high school students, four males and four females, were purposively selected as participants. Data collection methods included: group discussions, semi‐structured paired interviews, and participant generated documents and visual presentation for district administrators and teachers. Data were analyzed using content analysis, open coding, axial coding, text analysis software, and pattern matching.Findings – The study produced four salient findings: relevant experiences were important for learning; a cooperative and respectful learning environment is a core value; learning should be en.
Using drama in the counselling process: the Moving On project

The Moving On project is an initiative of Griffith University and the Aftercare Resource Centre, a service agency established to meet the ongoing needs of ex-residents of institutional childhood care in Queensland. This collaborative action research project is funded by a three-year Australian Research Council Linkage Grant to explore the question: Can drama be used to empower the survivors of trauma and abuse to redress the negative consequences of these experiences and move on in their lives? This paper focuses on the lasting impact of long-term institutional child abuse and the way drama is being used in the counselling process to build the self-capacity of abuse survivors.
A gestão de ti e o valor de uso dos ERP’s em sua perspectiva de pós implementação

This research aims to identify a set of organizational competencies inherent in the management field of Information Technology - IT in the companies that are directly related to the management of their ERP post-implementation phase, inferring its value in use by major areas noted those organizations which are members of this type of application. To achieve this goal, this study is structured into a theoretical literature associated with both dedicated to the study of organizational skills geared towards IT field  referencing in Saga and Zmud (1994), Boudreau (2003), Mizik and Jacobson (2003) and Clark, Jones, Zmud (2006) as well as in a theoretical framework aimed to study the management of ERP's in your perspective as the main actor in the suite of applications associated with the Information Technology Enterprise, from the analysis of work Mata, Fuerst, Barney (1995), Bharadwaj (2000), Li Chen, Huang(2006) and Souza and Zwicker (2007). The research was conducted with five major companies using ERP applications with annual revenues exceeding one billion dollars, all belonging to different segments of the Brazilian economy. The methodology predicted the development of the method of multiple case study, based on the work of Yin (2005) and Martins (2006). The results suggest that IT is, in fact, the area responsible for maintaining and / or increase the value of use of ERP systems in its long-term perspective. It was also found that other areas of the organizations do not recognize themselves as co-managing the ERP system, exactly because they have greater adherence to this particular set of skills described herein.
Students' Perceptions of the Incidence of Burn-out among Their Teachers

The aim was to explore students' perceptions of teacher burn-out in relation to the incidence of disruptive student classroom behaviour and teachers' competence to cope with it. A random sample of students from a Regional Training Centre participated. First, it was shown that the Maslach Burnout Inventory, the Coping with Disruptive Behaviour Scale and the Perceived Disruptive Behaviour Scale could be adapted for students to report symptoms of burn-out perceived among their teachers, the occurrence of perceived disruptive student behaviour and the students' perception of their teachers' ability to cope with such behaviour. Second, students' perceptions do not differ according to their age. Third, a significant difference was found between the perceptions of male and female students in respect of emotional exhaustion and depersonalisation, but not in respect of personal achievement. Finally, a considerable percentage of variance on each of the three burn-out dimensions is explained by teachers' ability to cope with student disruptive behaviour and perceived disruptive student behaviour. Students' perceptions of their teachers appear to contribute valid information on the mental health of the latter. It is advisable for future research into teacher burn-out to be based both on the teachers' self-reports and on the students' reports.
Ensemble speaker modeling using speaker adaptive training deep neural network for speaker adaptation

In this paper, we introduce an ensemble speaker modeling using a speaker adaptive training (SAT) deep neural network (SAT-DNN). We first train a speaker-independent DNN (SIDNN) acoustic model as a universal speaker model (USM). Based on the USM, a SAT-DNN is used to obtain a set of speaker-dependent models by assuming that all other layers except one speaker-dependent (SD) layer are shared among speakers. The speaker ensemble matrix is created by concatenating all of the SD neural weight matrices. With matrix factorization technique, an ensemble speaker subspace is extracted. When testing, an initial model for each target speaker is selected in this ensemble speaker subspace. Then, adaptation is carried out to obtain the final acoustic model for testing. In order to reduce the number of adaptation parameters, low-rank speaker subspace is further explored. We test our algorithm on lecture transcription task. Experimental results showed that our proposed method is effective for unsupervised speaker adaptation. Index Terms: speaker adaptation, deep neural networks, ensemble modeling, lecture transcription
The physical side of linguistic violence

Recently, after I had delivered a lecture on the rhetoric of nonviolence, an instructor in the audience approached me and said, in effect, “But aren't you devaluing real violence when you speak about linguistic or verbal violence? ” I was rather taken aback by the question. I had been immersed in studying the implications of verbal or linguistic violence—in short—violence relating to language and words for so long that I simply took for granted that everyone would see and agree that it is hurtful to use mean, base, nasty words—violent words. Thus returned to reality, I replied that no, I was not devaluing other forms of violence, but rather I was including verbal and linguistic violence under the general rubric of violence. This essay, then, is a more articulate response to the question of why we must be concerned with linguistic violence when, indeed, there is so much direct, visible, physical (nonlinguistic) violence in the world.
An Interpretative Phenomenological Analysis of Posttraumatic Growth in People With Psychosis

This study explored the experience of posttraumatic growth in adults with psychosis. Seven participants were interviewed using a semistructured interview schedule. Interviews were transcribed and analyzed using interpretative phenomenological analysis. One main superordinate theme was identified (“the adapting self”), with a number of subordinate themes (“finding meaning and purpose,” “support and understanding,” “inner strength and determination,” and “self-acceptance and awareness”). Adults with psychosis demonstrated the potential for growth following adverse experiences.
Dissociating Motivation from Reward in Human Striatal Activity

Neural activity in the striatum has consistently been shown to scale with the value of anticipated rewards. As a result, it is common across a number of neuroscientific subdiscliplines to associate activation in the striatum with anticipation of a rewarding outcome or a positive emotional state. However, most studies have failed to dissociate expected value from the motivation associated with seeking a reward. Although motivation generally scales positively with increases in potential reward, there are circumstances in which this linkage does not apply. The current study dissociates value-related activation from that induced by motivation alone by employing a task in which motivation increased as anticipated reward decreased. This design reverses the typical relationship between motivation and reward, allowing us to differentially investigate fMRI BOLD responses that scale with each. We report that activity scaled differently with value and motivation across the striatum. Specifically, responses in the caudate and putamen increased with motivation, whereas nucleus accumbens activity increased with expected reward. Consistent with this, self-report ratings indicated a positive association between caudate and putamen activity and arousal, whereas activity in the nucleus accumbens was more associated with liking. We conclude that there exist regional limits on inferring reward expectation from striatal activation.
Security analysis of uav radio communication system

Abstract This paper presents analyzed questions of the safety of the information transferred by the radio connection link of the Polish UAV project “Aircraft for monitoring” SAMONIT. This safety is especially important for the design and use of unmanned aerial vehicles (UAV). This paper also presents the structure of the SAMONIT communication system, security threats to the radio connection system, and possible measures to ensure secure information.
Quantitative prediction of NACK-oriented reliable multicast (norm) feedback

We have applied the concept of truncated exponential timers for efficient reliable multicast feedback suppression for cases of both multicast and unicast feedback channels. Unicast feedback operation for multicast transport is becoming a more prevalent concern with the advent of source specific multicast routing and asymmetric networks of offering forward-based multicast (e.g., satellite distribution network). We discuss our approach to the design and its integration with a working reliable multicast protocol. We then present simulation results demonstrating that observed implementation performance matches the analytically predicted performance. Finally, we formulate a quantitative predictor of reliable multicast protocol feedback traffic levels.
Economic optimal schedule of CHP microgrid system using chance constrained programming and particle swarm optimization

Combined heat and power (CHP) system has great prospect for sustainable development and application values with the characteristics of energy saving, environmental protection and economic benefit. This paper deals with the problem of economic optimal operation of CHP system consisting of wind turbine, PV, fuel cell, waste heat boiler, gas boiler, battery, thermal and electric load. Chance constrained programming (CCP) is utilized to consider the random feature wind power, PV power, thermal and electric load. To solve this model, an algorithm of particle swarm optimization (PSO) based on stochastic simulation is proposed. The operation schedules of CHP system are optimized with different deployments of DERs (distributed energy resources). Simulation results show that the proposed method can give suggestions on optimal deployments of DERs and realize dynamic economic dispatch of microgrid to reduce the running cost effectively.
Using cross-media correlation for scene detection in travel videos

Focusing on travel videos taken in uncontrolled environments and by amateur photographers, we exploit correlation between different modalities to facilitate effective travel video scene detection. Scenes in travel photos, i.e., content taken at the same scenic spot, can be easily determined by examining time information. For a travel video, we extract several keyframes for each video shot. Then, photos and keyframes are represented as a sequence of visual word histograms, respectively. Based on this representation, we transform scene detection into a sequence matching problem. After finding the best alignment between two sequences, we can determine scene boundaries in videos with the help of that in photos. We demonstrate that we averagely achieve a purity value of 0.95 if the proposed method is combined with conventional ones. We show that not only features of visual words aid in scene detection, but also cross-media correlation does.
Iterative Precoder Design and User Scheduling for Block-Diagonalized Systems

The block diagonalization (BD) scheme is a low-complexity suboptimal precoding technique for multiuser multiple input-multiple output (MIMO) downlink channels, which completely precancels the multiuser interference. Accordingly, the precoder of each user lies in the null space of other users' channel matrices. In this paper, we propose an iterative algorithm using QR decompositions (QRDs) to compute the precoders. Specifically, to avoid dealing with a large concatenated matrix, we apply the QRD to a sequence of matrices of lower dimensions. One problem of BD schemes is that the number of users that can be simultaneously supported is limited due to zero interference constraints. When the number of users is large, a set of users must be selected, and selection algorithms should be designed to exploit the multiuser diversity gain. Finding the optimal set of users requires an exhaustive search, which has too high computational complexity to be practically useful. Based on the iterative precoder design, this paper proposes a low-complexity user selection algorithm using a greedy method, in which the precoders of selected users are recursively updated after each selection step. The selection metric of the proposed scheduling algorithm relies on the product of the squared row norms of the effective channel matrices, which is related to the eigenvalues by the Hadamard and Schur inequalities. An asymptotic analysis is provided to show that the proposed algorithm can achieve the optimal sum rate scaling of the MIMO broadcast channel. The numerical results show that the proposed algorithm achieves a good trade-off between sum rate performance and computational complexity. When users suffer different channel conditions, providing fairness among users is of critical importance. To address this problem, we also propose two fair scheduling (FS) algorithms, one imposing fairness in the approximation of the data rate, and another directly imposing fairness in the product of the squared row norms of the effective channel matrices.
Frustration Theory: An Analysis of Dispositional Learning and Memory

Preface List of abbreviations 1. Introduction: reward-schedule effects and dispositional learning 2. Motivational and associative mechanisms of behavior 3. Frustration theory: an overview of its experimental basis 4. Survival, durability, and transfer of persistence 5. Discrimination learning and prediscrimination effects 6. Alternatives and additions to frustration theory 7. Ontogeny of dispositional learning and the reward-schedule effects 8. Toward a developmental psychobiology of dispositional learning and memory 9. Summing up: steps in the psychobiological study of related behavioral effects 10. Application to humans: a recapitulation and an addendum Appendix References Indexes.
A Review on Electrohydrodynamic-inkjet Printing Technology

Electrohydrodynamic (EHD)-inkjet printing is a novel high resolution inkjet printing technology with the advantages of being a maskless, non-contact, direct-write and additive process. Its printing resolution exceeds by about two orders of magnitude in comparison to the conventional inkjet printing systems. It is used in the field of micro/nano manufacturing for patterning of large class of materials on a variety of substrates with the options to use either Drop-On- Demand (D-O-D) or continuous mode. Printable electronics especially flexible electronics is one of the many fields where this technology has a lot to offer as the same EHD-inkjet set- up can be used for electrospraying for thin film layer deposition, electrospinning for interconnection and EHD jetting for making electrodes. A lot of research has been carried out in the recent past to make its transition from a research tool to a commercial manufacturing process. Many challenges such as increasing the process throughput (i.e. the printing speeds) have to be overcome before the commercialization of this technology. Another major challenge is to develop a compact, affordable and user friendly test platform to further develop the process and associated applications. This review gives a brief account of the EHD-inkjet technology; the research activities carried out in recent years and the wide areas of applications of this technology. The working of the EHD-inkjet system along with the physics of the process has also been discussed in brief. Keywords—Drop-on-Demand (D-O-D),