Miracle-dz/UniFAR-FTUs huggingface dataset:
When emotion meets cognition. Emotion-cognition interaction in healthy controls and patients with schizophrenia

textabstractHuman mental processes are a continuous interplay between sensations derived from the outer world, internal states such as beliefs and intentions, conscious and unconscious memories from earlier experiences and affective evaluation of all these parts. During everyday life, no one wonders about which of these processes would be called cognitive and which emotional, because for most individuals mental processes are experienced as direct and unified. Only reflecting on mental processes by the individual or an external observer leads to a distinction between the processes mentioned above. Almost everyone would say that there is one basic distinction: cognitive versus emotional processes. As the soul, psyche, was mainly the domain of philosophical interest until the midst of the 19th century, it is not surprising that ancient Greek philosophy already tried to develop concepts that explain the different functions of the psyche. At that time, terms as cognition and emotion were not used. Plato in ‘Politeia’ suggested that the soul is divided in three parts: reason, spirit and appetite. While reason aims to reach wisdom and is characterized by its ability to search for what is good for the soul, spirit aims to gather honour and appetite aims to receive satisfaction for bodily needs. As Plato wanted to develop a theory of the ideal state, the consequence is that reason has to dominate spirit and appetite in order to reach virtue [1]. Based on this model Plato explained how “intra-psychic” conflicts could occur when for example appetite seeks satisfaction but reason defends the virtue of wisdom.
Research on Different Representation Methods for Classification

Under today’s big data environment, with the rapid development of computer network technology and information technology, data mining is becoming more and more important in computer science. Classification is one of the most important aspects in data mining research Field. Recently, representation methods, such as sparse representation and low rank representation, have been much concerned. They both have wide applications in scientific and engineering fields. However, sparse representation and low rank representation include many methods, although these methods have their own characteristics, they are all effective for handling classification problems. This paper focuses on the performance comparison of different representation methods currently used in handling classification problems and views other conventional methods that can be applied in this field.
Off-Grid Fundamental Frequency Estimation

In this paper, we propose a gridless method for estimating an unknown number of fundamental frequencies. Starting with a conventional dictionary matrix, containing sets of candidate fundamental frequencies and their corresponding harmonics, a nonconvex log-sum cost function is formed such that it imposes the harmonic structure and treats every fundamental frequency in the dictionary as a parameter. The cost function is iteratively decreased by minimizing a surrogate function, and, in each iteration, the fundamental frequencies are refined, whereas redundant parameters are omitted from the dictionary. The proposed method is tested on both real and simulated data, showing its preferred performance as compared to other state-of-the-art multipitch estimators.
Force‐field parameters for the simulation of tetrahedral intermediates of serine hydrolases

CHARMM force‐field parameters are reported for the tetrahedral intermediate of serine hydrolases. The fitting follows the standard protocol proposed for CHARMM22. The reference data include ab initio (RHF/6‐31G*) interaction energies of complexes between water and the model compound 1,1‐dimethoxyethoxide, torsional profiles of related model compounds from correlated ab initio (MP2/6‐311+G*//B3LYP/6‐31+G*) calculations, as well as molecular geometries and vibrational frequencies from density functional theory (B3LYP/6‐31+G*). The optimized parameters reproduce the target data well. Their utility is demonstrated by a QM/MM study of the tetrahedral intermediate in Bacillus subtilis lipase A, and by classical molecular modeling of enantioselectivity in Pseudomonas aeruginosa lipase and its mutants. © 2008 Wiley Periodicals, Inc. J Comput Chem, 2009
When the Mind Forges Its Own Plans : The Phenomenon of the Implicit Emergence of Implementation Intentions

Foreword The present research reflects far more than simply the author's thoughts and work. It is also the result of the contributions of many others. I feel very grateful to these contributors , as they have helped make possible what the reader will discover on the following pages. Thank you to Peter M. Gollwitzer for your guidance from the early days of my studies to the finalizing of this dissertation, as well as for introducing me into the fascinating field of motivational research, and for your invaluable support in realizing my ideas in this field. Thank you to Gabriele Oettingen for fostering my understanding of how words can be arranged to form a complete text that is not cryptic for people other than myself. Thank you to my family for providing me with everything I needed to finish my studies and the present work. Thank you to Nathalie Brenneisen for always offering your help and for being there even when my work made me rabid. Hünger, and to my colleagues from the Motivation Lab in Konstanz, for your clever suggestions that allowed my ideas to grow into the present work. for your professional help in adding structure to my thoughts and in catching those that were almost lost in translation. for your efforts as research assistants that allowed me the time I needed to accomplish the present work. and not least of all to you, the reader, for offering your thoughts and valuable time to the present findings and ideas. You are who this dissertation was written for. Keeping these important contributors in mind, I turn now to the present research, which leads to the insight that our brains forge their own plans without our conscious intent or even awareness. III It is a general principle in Psychology that consciousness deserts all processes where it can no longer be of use. We must give up the insane illusion that a conscious self, however virtuous and however intelligent, can do its work singlehanded and without assistance. The more of the details of our daily life we can hand over to the effortless custody of automatism, the more our higher powers of mind will be set free for their own proper work. Abstract The present research investigates the implicit emergence of implementation intentions (i.e., plans specifying when, where, and how goal pursuit is to be enacted; Gollwitzer, 1999). The thinking processes leading to …
Human-Robot Interaction by Whole Body Gesture Spotting and Recognition

An intelligent robot is required for natural interaction with humans. Visual interpretation of gestures can be useful in accomplishing natural human-robot interaction (HRI). Previous HRI research focused on issues such as hand gesture, sign language, and command gesture recognition. Automatic recognition of whole body gestures is required in order for HRI to operate naturally. This presents a challenging problem, because describing and modeling meaningful gesture patterns from whole body gestures, is a complex task. This paper presents a new method for recognition of whole body key gestures in HRI. A human subject is first described by a set of features, encoding the angular relationship between a dozen body parts in 3D. A feature vector is then mapped to a codeword of gesture HMMs. In order to spot key gestures accurately, a sophisticated method of designing a garbage gesture model is proposed; model reduction, which merges similar states, based on data-dependent statistics and relative entropy. The proposed method has been tested with 20 persons' samples and 200 synthetic data. The proposed method achieved a reliability rate of 94.8% in spotting task and a recognition rate of 97.4% from an isolated gesture
Robust speaker verification in colored noise environment

Noise robustness of automatic speaker verification systems is crucial in real life applications. A study on the performance of several spectral subtraction-based speech enhancement techniques shows the poor performance of these algorithms when used as a preprocessing stage of the speaker verification system in the presence of colored noise. In this paper, a new technique based on the addition of modeled colored noise is introduced. Experimental results in both white and colored noise environments are presented, showing the improvement of the proposed scheme.
Detection Timing and Channel Selection for Periodic Spectrum Sensing in Cognitive Radio

In this paper, detection timing and channel selection for periodic spectrum sensing are investigated to improve the performance of cognitive radio (CR) users. Designed to maximize the channel efficiency of CR users under a given level of interference with licensed users, the detection timing scheme utilizes the statistics of the licensed channel occupancy to determine the optimal starting point of each sensing action. A channel selection scheme in the multichannel multiuser environment is also proposed to specify which channel to detect for the upcoming sensing action based on detection timing. Numerical results demonstrate that our schemes considerably improve the overall channel efficiency while protecting the communication among licensed users.
Psychosocial correlates of attachment in adolescents during pregnancy and early motherhood: an Australian rural perspective

IX A B S T R A C T The purpose of this study was to investigate the psychosocial correlates of attachment in adolescents living in a rural area during pregnancy and early motherhood . Early exchanges between the mother and her infant provide a positive foundation on which to build relationships across the lifespan. The aims of this research is twofold. Firstly, problems in attachment have been proposed to have an important causative role in childhood delay and problems in emotional, social and intellectual development. Secondly, postnatal depression in mothers is known to be associated with problems of attachment and social support. One hundred and twenty two consenting pregnant adolescents attending a public based midwifery antenatal clinic in a rural health service area in south west N e w South Wales participated in a correlational study. One hundred and thirteen adolescent mothers were reinterviewed at 6 weeks and 6-12 months after the birth of the baby. A demographic questionnaire and six objective research instruments were employed to measure the main variables of attachment, self esteem, social support and postnatal depression, i) The Maternal-Foetal Attachment Scale, ii) Prenatal Attachment Inventory, iii) The Support Behaviours Inventory, iv) Rosenberg's Self Esteem Scale. During motherhood: v) H o w I Feel About M y Baby N o w Scale, vi) Maternal Attachment Inventory vii) Parenting Sense of Competence Scale, viii) Edinburgh Postnatal Depression Scale and ix) Facilitators and Regulators Questionnaire. Qualitative data was collected exploring the mother's relationship with her foetus and her infant. The results indicated that maternal-foetal attachment was
Binaural Stimulation Through Cochlear Implants in Postlingual Deafness: A Positron Emission Tomographic Study of Word Recognition

Hypothesis: Bilateral stimulation through cochlear implants induces a brain activity pattern closer to the normal one than unilateral stimulation. Background: Although it has been shown that speech comprehension through bilateral cochlear implants leads to better performances than after unilateral implantation, the existence of neural underpinnings of this improvement remains to be studied. Methods: We performed an H2O15 positron emission tomographic study of word recognition in 5 patients with bilateral cochlear implants and 5 normal-hearing controls. Subjects had to distinguish words from nonwords in binaural and monaural conditions. Results: There was no overactivation in patients for binaural stimulation, with a hypoactivation in the right temporal cortex. For monaural stimulation, patients demonstrated more activation contralaterally to the stimulation side in the posterior temporal cortex and in the cerebellum. Conclusion: Binaural stimulation through cochlear implants is advantageous compared with the monaural at the neurofunctional level because the pattern of brain activity is closer to the normal one.
The Processes of Scientific Discovery: The Strategy of Experimentation

Abstract Hans Krebs' discovery, in 1932, of the urea cycle was a major event in biochemistry. This article describes a program, KEKADA, which models the heuristics Hans Krebs used in this discovery. KEKADA reacts to surprises, formulates explanations, and carries out experiments in the same manner as the evidence in the form of laboratory notebooks and interviews indicates Hans Krebs did. Furthermore, we answer a number of questions about the nature of the heuristics used by Krebs, in particular: How domain-specific are the heuristics? To what extent are they idiosyncratic to Krebs? To what extent do they represent general strategies of problem-solving search? The relative generality of KEKADA allows us to view the control structure of KEKADA and its domain-independent heuristics as a model of scientific experimentation that should apply over a broad domain.
Designing Peak Power Constrained Amplify-and-Forward Relay Networks with Cooperative Diversity

Relay networks with amplify-and-forward (AF) protocol have attracted attention due to its high performance and low implementation complexity at the relay. To collect full cooperative diversity, the AF relay networks are facing two main issues. One is that the channel state information (CSI) of the source to relay link (i.e., two-hop information) is needed at the destination. The other concern is that the power scaling factor (PSF) and output signals at the relay are unbounded. These two issues make AF less practical in resource constrained networks, e.g., blind and peak power constrained relays. In this paper, we reveal the sufficient and necessary conditions on the PSF for the maximum ratio combining (MRC) receiver with two-hop CSI to achieve full cooperative diversity. Furthermore, we also provide necessary conditions on the PSF design so that MRC with one-hop CSI still collects full cooperative diversity. Based on these design criteria, we show a practical peak power constrained AF strategy so that neither the relay nor the destination node needs the source-relay CSI, yet full cooperative diversity can still be achieved.
PJ 6400 : Mobile Collector in Defense against Jamming Attack

A jamming attack on a wireless network is an attack in which the adversary attempts to cause a denialof-service (DoS) by conducting simple, continuous or intermittent, transmission of high-power interfering signal. Wireless sensor networks (WSNs) are particular vulnerable to jamming attacks due to its natural characters. In our work, we propose to combat jamming attacks on WSNs through the deployment of mobile nodes. Specifically, we consider sending a mobile node inside the jammed area to periodically collect/sense data. Subsequently, the mobile is responsible for bringing the data to the most optimal exit point/node on the boundary of the attacked region. An algorithm named COEP is proposed for calculating the optimal exit point according to varies network conditions.
Platform-independent modeling of explicitly parallel programs

We propose a model-driven approach to parallel programming of SPMD-style, explicitly parallel computations. We define an executable, platform-independent modeling language with explicitly parallel control and data flow for an abstract parallel computer with shared address space, and implement it as an extension of UML2 activity diagrams and a generator for Fork source code that can be compiled and executed on a high-level abstract parallel machine simulator. We also sketch how to refine the modeling language to address more realistic parallel platforms. The current transition to many-core systems in all IT domains, including desktop and embedded computing, means a huge challenge both for programmers and programming tool providers. With the notable exception of highperformance computing platforms, the sequential vonNeumann model has been dominating computer instruction sets and industry-relevant higher-level programming environments for more than half a century. We have trained (and in many sites, we still do today) many generations of students mainly in sequential thinking about algorithms, control and data structures. This will have to change, as sequential performance of computers will not increase as in the past, and tomorrow’s programmers will face hundreds of hardware threads that need to be coordinated properly to speed up a single application. However, there is a problem with the transition to manycore programming for the masses. The von-Neumann model of sequential computing is a universal programming model, as it fits virtually all sequential programming languages and also the instruction sets of most processor architectures. A program written in a sequential language
Synthesis and Surface Thermodynamic Functions of CaMoO4 Nanocakes

CaMoO4 nanocakes with uniform size and morphology were prepared on a large scale via a room temperature reverse-microemulsion method. The products were characterized in detail by X-ray powder diffraction, field-emission scanning electron microscopy, transmission electron microscopy, and high-resolution transmission electron microscopy. By establishing the relations between the thermodynamic functions of nano-CaMoO4 and bulk-CaMoO4 reaction systems, the equations for calculating the surface thermodynamic functions of nano-CaMoO4 were derived. Then, combined with in-situ microcalorimetry, the molar surface enthalpy, molar surface Gibbs free energy, and molar surface entropy of the prepared CaMoO4 nanocakes at 298.15 K were successfully obtained as (19.674 ± 0.017) kJ·mol−1, (619.704 ± 0.016) J·mol−1, and (63.908 ± 0.057) J·mol−1·K−1, respectively.
Incivility in the Informal Workplace: A Case Study of Emerald Lutheran Church

iii ACKNOWLEDGEMENTS.iv CHAPTER 1. RATIONALE.1 1.1 The Changing Face of the Workplace: Casual is not Just for Fridays . 3 1.2 Emerald Lutheran: An Exemplar of the Informal Workplace.4 1.3 The Informal Workplace and Incivility: The Present Study.4 1.4 Summary.6 CHAPTER 2. A REVIEW OF THE INCIVILITY AND WORKPLACE CULTURE LITERATURE . 7 2.1 Defining Incivility.7 2.2 Incivility versus Workplace Bullying.11 2.3 Incivility in the Workplace.12 2.4 Incivility in Religious Organizations.15 2.5 Formal versus Informal Workplaces.16 2.6 Incivility in the Informal Workplace: The Current Study.19 CHAPTER 3. RESEARCH METHODS.21 3.1 Sources of Data.21 3.2 Emerald Lutheran as an Informal Workplace.22 3.3 Participants.25 3.4 Data Collection.26 3.5 Data Analysis.30 CHAPTER 4. ANALYSIS.32 4.1 Uncivil Behavior Specific to Emerald Lutheran.32 4.2 Responses to Uncivil Communication.34 4.3 The Role of Relationship in Preventing Uncivil Communication Patterns.35 4.4 Summary.38 vi CHAPTER 5. DISCUSSION.39 5.1 Analysis.39 5.2 Limitations.46 5.3 Suggestions for Further Study.49 5.4 Conclusion.50 REFERENCES . 54 APPENDIX. INTERVIEW SCHEDULE.58
Supply Chain Flexibility And Balanced Scorecard: Conceptual Model And Empirical Study In Tunisian Companies Launched Upgrading Program

In this article, we clarify the concept of supply chain flexibility (SCF) in an attempt to unveil the difficulty in understanding and dealing with the scope this concept. The imprecise notion of SCF makes it difficult to develop valid and reliable measures which are needed to construct and test a theory involving supply chain flexibility. This paper sheds light on literature relating to the impact of SCF on business performance. A conceptual framework is presented to uncover the effects of different dimensions of SCF (human resources, product, process, information technology and logistics) on the global performance. Valid and reliable measures are developed for each dimension of SCF and global performance and hypotheses are tested using structural equation modeling. From a large sample survey (n= 105) of manufacturing firms launched upgrading program, results indicate a partial impact of supply chain flexibility on the global performance. Three dimensions (human resources flexibility, Logistics flexibility and Information Technology flexibility) have positive and strong relationships on global performance. But, Product flexibility and Process flexibility were not present in Tunisian firms.
Velocity estimator via fusing inertial measurements and multiple feature correspondences from a single camera

In this paper, we present a novel real-time velocity estimation algorithm. A sensor assembly consisting of a monocular camera and an inertial measurement unit with three-axis accelerotmeter and gyroscope is considered. To improve the robustness of the velocity estimator with respective to image noise, we apply a coarse-to-fine structure based on multiple feature correspondences over three consecutive frames. The presented algorithm starts with an initial guess by solving a set of linear equations from modified epipolar constraints, which has increased accuracy and computational efficiency in comparison to previous work. Then, a highly accurate velocity estimation is achieved by non-linear minimization of the reprojection errors using the Levenberg-Marquardt algorithm. We implement our approach and present the results both in simulation and on real data.
Transferability and characterization of microsatellite markers in two Neotropical Ficus species

Microsatellite markers were transferred and characterized for two Neotropical fig tree species, Ficus citrifolia and Ficus eximia. Our study demonstrated that microsatellite markers developed from different subgenera of Ficus can be transferred to related species. In the present case, 12 of the 15 primer pairs tested (80%) were successfully transferred to both of the above species. Eleven loci were polymorphic when tested across 60 F. citrifolia and 60 F. eximia individuals. For F. citrifolia, there were 4 to 15 alleles per locus, whereas expected heterozygosities ranged from 0.31 to 0.91. In the case of F. eximia, this was 2 to 12 alleles per locus and expected heterozygosities from 0.42 to 0.87.
Max-Margin Majority Voting for Learning from Crowds

Learning-from-crowds aims to design proper aggregation strategies to infer the unknown true labels from the noisy labels provided by ordinary web workers. This paper presents max-margin majority voting (M$^3$3V) to improve the discriminative ability of majority voting and further presents a Bayesian generalization to incorporate the flexibility of generative methods on modeling noisy observations with worker confusion matrices for different application settings. We first introduce the crowdsourcing margin of majority voting, then we formulate the joint learning as a regularized Bayesian inference (RegBayes) problem, where the posterior regularization is derived by maximizing the margin between the aggregated score of a potential true label and that of any alternative label. Our Bayesian model naturally covers the Dawid-Skene estimator and M$^3$3V as its two special cases. Due to the flexibility of our model, we extend it to handle crowdsourced labels with an ordinal structure with the main ideas about the crowdsourcing margin unchanged. Moreover, we consider an online learning-from-crowds setting where labels coming in a stream. Empirical results demonstrate that our methods are competitive, often achieving better results than state-of-the-art estimators.