Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Brazilian Spiritist Mediumship and Dissociative Identity Disorder

We studied the similarities and differences between Brazilian Spiritistic mediums and North American dissociative identity disorder (DID) patients. Twenty-four mediums selected among different Spiritistic organizations in São Paulo, Brazil, were interviewed using the Dissociative Disorder Interview Schedule, and their responses were compared with those of DID patients described in the literature. The results from Spiritistic mediums were similar to published data on DID patients only with respect to female prevalence and high frequency of Schneiderian first-rank symptoms. As compared with individuals with DID, the mediums differed in having better social adjustment, lower prevalence of mental disorders, lower use of mental health services, no use of antipsychotics, and lower prevalence of histories of physical or sexual childhood abuse, sleepwalking, secondary features of DID, and symptoms of borderline personality. Thus, mediumship differed from DID in having better mental health and social adjustment, and a different clinical profile.
Moderating effects of leader-member exchange (LMX) on job burnout in dietitians and chefs of institutional foodservice

The objectives of the study were to investigate job burnout and leader-member exchange (LMX) levels as well as to evaluate buffering effects of LMX on burnout among dietitians and chefs at institutional foodservices. Hypotheses were proposed based on the Job Demands-Resources model and LMX theory. The study population consisted of dietitians and chefs who were in charge of managing unit operations in a nationwide contract management company. Positive/negative affectivity, workload, job burnout, and LMX scales that had been validated in previous research were adopted. A total of 552 questionnaires were distributed and 154 responses were returned. Results indicated that respondents' burnout levels were moderate and emotional exhaustion was greater than cynicism. In terms of LMX, the surveyed dietitians and chefs showed higher respect toward their supervisors than loyalty. When positive affectivity and negative affectivity were controlled, workload influenced emotional exhaustion and professional efficacy significantly. With affectivity and workload controlled, however, LMX did not influence any dimensions of burnout. The moderating effect of LMX on the relationship between workload and cynicism was significant. That is, the effect of workload on cynicism was weak if the dietitians and chefs perceived the relationship with their supervisor positively. Based on the findings and literature reviewed, how to mitigate job burnout among foodservice managers is discussed.
Torque ripple minimization in PM synchronous motors based on backstepping neural network

The electromagnetic torque introduces ripples into the system due to the nonlinearity of the permanent magnetic field and the change of the stator winding, which generate speed oscillations and deteriorate the performance of PM synchronous motor (PMSM). In this paper, we have given the numerical description of the ripples and proposed backstepping Neural Network (NN) control scheme to minimize them. First, online weight-tuning based NNs compensate the torque nonlinearity and external disturbances with its approximation characteristic, and make them satisfy the linear parameter requirement of backstepping; Second, backstepping is applied based on the model of PMSM; At last, the comparison simulation with PID are added to demonstrate the effectiveness of the proposed method.
International Financial Reporting and Analysis

Table of Contents: Preface Abbreviations PART I - FRAMEWORK, THEORY AND REGULATION 1. The basis of financial reporting 2. International accounting differences 3. The process of harmonisation 4. Economic valuation concepts 5. Current entry values 6. Current exit value and mixed values 7. Current purchasing power accounting 8. Accounting theory and conceptual frameworks 9. Structure of published financial statements 10. Additional disclosure statements 11. Quo vadis? Part II - ANNUAL FINANCIAL STATEMENTS 12. Fixed assets 13. Leases 14. Inventories 15. Financial instruments 16. Revenue 17. Provisions 18. Income taxes 19. Employee benefits 20. Price changes 21. Cash flow statements 22. Presentation issues Part III - CONSOLIDATED ACCOUNTS AND THE MULTINATIONAL 23. Consolidated financial statements 24. Foreign currency translation Part IV - FINANCIAL ANALYSIS 25. Interpretation of financial statements 26. Techniques of financial analysis Bibliography Index
Assessing Real-Time Malware Threats

In recent years, distribution of malware has switched from classical channels, such as e-mail, vulnerable services, or macros in software, to a new channel, websites. Therefore one major entry point of malware - that severely reduces a user's security - is through the browser. For this reason it is essential to increase the security awareness of users and in the long-term extrapolate guidelines to decrease risk of browser-based malware infections. For this, a deeper understanding on how and how often an average user encounters malware is necessary. In this work we try to shed some light on this issue by proposing a prototypical, light-weight monitoring tool, dubbed Croft, that gathers freely given data, such as browsed URLs, workstation configuration, assumed computer skill level, occupation, gender, age, and antivirus alerts, from heterogeneous user groups in a crowdsourcing fashion.
The Circadian Variation of Cortisol Secretion in Patients with Anorexia Nervosa in Childhood and Adolescence after Recovery of Body Weight by Treatment Using Gas Chromatography/Mass Spectrometry in Selected Ion Monitoring

Anorexia nervosa (AN) is a chronic psychiatric disorder which is characterized by patient-induced weight loss. Complications in many organ systems can be seen in AN such as cardiovascular, gastrointestinal, and endocrine system including hypothalamic-pituitary-adrenal axis, even after recovery of body weight by treatment. Urinary steroid profile analysis using gas chromatography/mass spectrometry (GC/MS) in selected ion monitoring (SIM) has been reported to be useful for the diagnosis of abnormal steroidogenesis in newborn infants, childhood, and adults. The aim of this study was to analyze the circadian variation of cortisol secretion in patients with anorexia nervosa (AN) in childhood and adolescence after recovery of body weight by treatment using GC/MS in SIM. The subjects were 7 healthy young adults (20–23 yr of age, BMI 19.7–24.8 kg/m2) and 5 AN patients in childhood and adolescence (13–19 yr of age), who had recovered body weight by treatment (BMI 15.4–19.3 kg/m2; 3rd–25th to 50th percentile). Urine samples were collected for 26 hours (from 21:00 to 23:00 next day) at each urination. In each sample, the cortisol metabolites were measured by GC/MS in SIM. The sum of all cortisol metabolites was calculated as mg/g creatinine. In all 5 AN patients in childhood and adolescence, the circadian variation of the sum of cortisol metabolites was observed and was similar to that in healthy young adults. Although our data are preliminary, in patients with AN in childhood and adolescence, who have recovered body weight by treatment, the circadian variation of cortisol secretion may be conserved.
Individual Assessment of Children with Profound Intellectual and Multiple Disabilities by Means of Event-related Brain Potentials

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The Plant Mitochondrial Carrier Family: Functional and Evolutionary Aspects

Mitochondria play a key role in respiration and energy production and are involved in multiple eukaryotic but also in several plant specific metabolic pathways. Solute carriers in the inner mitochondrial membrane connect the internal metabolism with that of the surrounding cell. Because of their common basic structure, these transport proteins affiliate to the mitochondrial carrier family (MCF). Generally, MCF proteins consist of six membrane spanning helices, exhibit typical conserved domains and appear as homodimers in the native membrane. Although structurally related, MCF proteins catalyze the specific transport of various substrates, such as nucleotides, amino acids, dicarboxylates, cofactors, phosphate or H+. Recent investigations identified MCF proteins also in several other cellular compartments and therefore their localization and physiological function is not only restricted to mitochondria. MCF proteins are a characteristic feature of eukaryotes and bacterial genomes lack corresponding sequences. Therefore, the evolutionary origin of MCF proteins is most likely associated with the establishment of mitochondria. It is not clear whether the host cell, the symbiont, or the chimerical organism invented the ancient MCF sequence. Here, we try to explain the establishment of different MCF proteins and focus on the characteristics of members from plants, in particular from Arabidopsis thaliana.
Benchmarks for layout synthesis - evolution and current status

This paper presents past and ongoing work on layout synthesis benchmarks maintained and distributed by the MCNC Center for Microelectronics. The benchmark suite developed over the course of five years contains examples representing a variety of layout design problems and has been quite extensively used by researchers around the world to evaluate the performance of layout synthesis algorithms. The goals of the benchmarking efforts as related to layout synthesis are discussed in the context of other benchmark activities conducted at MCNC, In the conclusion of the paper, future directions are proposed to unify the benchmarking of IC design systems.
Search for associations containing young stars (SACY) - II. Chemical abundances of stars in 11 young associations in the solar neighborhood

The recently discovered coeval, moving groups of young stellar objects in the solar neighborhood represent invaluable laboratories for studying recent star formation and searching for high metallicity stars that can be included in future exo-planet surveys. In this study, we derived through an uniform and homogeneous method stellar atmospheric parameters and abundances for iron, silicium, and nickel in 63 post-T Tauri stars from 11 nearby young associations. We further compare the results with two different pre-main sequence (PMS) and main sequence (MS) star populations. The stellar atmospheric parameters and the abundances presented here were derived using the equivalent width of individual lines in the stellar spectra by assuming the excitation/ionization equilibrium of iron. Moreover, we compared the observed Balmer lines with synthetic profiles calculated for model atmospheres with a different line-formation code. We found that the synthetic profiles agree reasonably well with the observed profiles, although the Balmer lines of many stars are substantially filled-in, probably by chromospheric emission. Solar metallicity is found to be a common trend in all the nearby young associations studied. The low abundance dispersion within each association strengthens the idea that the origin of these nearby young associations is related to the nearby star-forming regions (SFR). Abundances of elements other than iron are consistent with previous results for Main Sequence stars in the solar neighborhood. The chemical characterization of the members of the newly found nearby young associations, performed in this study and intended to proceed in subsequent works, is essential to understanding and testing the context of local star formation and the evolutionary history of the galaxy.
A low cost localization algorithm for an autonomous lawnmower

This paper aims at implementing a localization algorithm, based on two cascaded Kalman filters, in order to localize an autonomous lawnmower which operates in an outdoor environment using only low cost sensors. In particular the position and the orientation of the robot are estimated using a three axis Gyroscope, an RFID (Radio Frequency IDentification) antenna and an RFID reader (which reads the presence of RFID tags scattered on the border of the lawn to be mowed) and an RF (Radio Frequency) antenna, on-board the robot, which measures the RSSI (Received Signal Strength Indicator) of the signal sent by other RF end devices positioned in the working area in known positions. The efficiency of the proposed algorithm is then tested first through simulations and then experimentally on a prototype lawnmower.
Understanding Minority Ethnic Achievement: Race, Gender, Class and 'Success'

Preface. 1. 'Race' And Achievement: The Policy Context 2. Theoretical Perspectives on 'Race', Gender, Class and Achievement 3. Teachers' Views on Pupils' Identities and Achievement 4. Minority Ethnic Parents' Views of the British Education System 5. Young People's Educational Identities 6. Linking Identities, Aspirations and Achievement 7. Understanding and Addressing Educational Inequalities: Racisms, Sexisms and Classisms 8. Implications. References
Methodology for Reconstructing Early Zebrafish Development From In Vivo Multiphoton Microscopy

Investigating cell dynamics during early zebrafish embryogenesis requires specific image acquisition and analysis strategies. Multiharmonic microscopy, i.e., second- and third-harmonic generations, allows imaging cell divisions and cell membranes in unstained zebrafish embryos from 1- to 1000-cell stage. This paper presents the design and implementation of a dedicated image processing pipeline (tracking and segmentation) for the reconstruction of cell dynamics during these developmental stages. This methodology allows the reconstruction of the cell lineage tree including division timings, spatial coordinates, and cell shape until the 1000-cell stage with minute temporal accuracy and micrometer spatial resolution. Data analysis of the digital embryos provides an extensive quantitative description of early zebrafish embryogenesis.
A New Method of Measuring Document Similarity for Movie Recommendation

One of good ways for a person to find a movie the person would like is, supposedly, to find a movie that is similar to other movies that the person found interesting before. For those who like to find movies in this way, there are a few websites where users can search for similar movies to a certain movie. Recommendation systems of such websites rely on rating information or experts' analysis which take a lot of time and efforts of humans to get. This paper suggests a method for scoring similarity among movies using movie scripts. The method we suggest doesn't need any rating information or metadata to analyze. Instead of using those kinds of information, our method is about measuring similarities among documents. There are several conventional methods for the purpose, but it is based on matching keywords. To overcome the limit of matching keywords directly, our method compares two documents in an indirect way.
Examples for Genetic Algorithm based optimal RFID tag antenna design

In this work a Genetic Algorithm is used to obtain optimal planar UHF RFID tag antenna topologies. The presented antenna design method is automated and solely requires very little human intervention. Different requirements like antenna dimension, conductive and dielectric materials, frequency range, etc. can be adjusted. This enables the automated design of tailored tag antennas for different requirements. Due to the complex behavior of UHF antennas numerical electromagnetic field simulation is essential. Simulation is carried out with the aid of ANSYS HFSS and ANSYS DESIGNER. In order to obtain meaningful results, high accuracy of the simulation is of vital importance. Therefore this work places emphasis on the comparison of simulation and measurement of prototypes. As a result of the evolutionary design, examples for narrowband and broadband antennas are presented. Two approaches were applied, one very fundamental, discretizing the available design space into pixel units. In addition a lattice based approach, promoting meander-like layouts, is implemented. Four antenna layouts are discussed in this work. All obtained tag antennas meet the required specifications and prove the abilities of the design approach.
Reinforcement Learning for Parameter Control of Image-Based Applications

The significant amount of data contained in digital images present barriers to methods of learning from the information they hold. Noise and the subjectivity of image evaluation further complicate such automated processes. In this thesis, we examine a particular area in which these difficulties are experienced. We attempt to control the parameters of a multi-step algorithm that processes visual information. A framework for approaching the parameter selection problem using reinforcement learning agents is presented as the main contribution of this research. We focus on the generation of state and action space, as well as task-dependent reward. We first discuss the automatic determination of fuzzy membership functions as a specific case of the above problem. Entropy of a fuzzy event is used as a reinforcement signal. Membership functions representing brightness have been automatically generated for several images. The results show that the reinforcement learning approach is superior to an existing simulated annealing-based approach. The framework has also been evaluated by optimizing ten parameters of the text detection for semantic indexing algorithm proposed by Wolf et al. Image features are defined and extracted to construct the state space. Generalization to reduce the state space is performed with the fuzzy ARTMAP neural network, offering much faster learning than in the previous tabular implementation, despite a much larger state and action space. Difficulties in using a continuous action space are overcome by employing the DIRECT method for global optimization without derivatives. The chosen parameters are evaluated using metrics of recall and precision, and are shown to be superior to the parameters previously recommended. We further discuss the interplay between intermediate and terminal reinforcement.
Comparative Study on the Influence of Epigallocatechin-3-gallat e and/or Coenzyme Q10 against Alzheimer's disease Induced by Aluminiumin Normally-Fed and Protein Malnourished Rats

Background: Alzheimer’s disease (AD) is a neurodegenerative disorder greatly influenced by oxidative stress and mitochondrial dysfunction which may lead to deposition of β-amyloid (Aβ) peptides. Protein malnutrition increases oxidative damage in cortex, hippocampus and cerebellum. Epigallocatechin-3-gallate (EGCG) has health-promoting effects in CNS, while Coenzyme Q10 (CoQ10) is intracellular antioxidant and mitochondrial membrane stabilizer. Objective: To investigate the possible protective effect of EGCG and/or CoQ10 against aluminium-induced neurotoxicity presenting symptoms that mimic AD in both normally-fed (NF) and protein malnourished (PM) rats. Methods: Ten groups of rats were used; five for NF (20% casein) and the same for PM (10% casein). Both NF and PM groups received daily for four weeks; either saline for control or AlCl3 (70 mg/kg, I.P) for AD induction groups, treated groups received together with AlCl3 either EGCG (10 mg/kg, I.P), CoQ10 (200 mg/kg, P.O) or combination of both. Histopathological changes in the brain and biochemical changes in Aβ, Acetyl cholinesterase (ACHE) as well as oxidative parameters (MDA, SOD, TAC) were evaluated for all groups. Results: The study revealed that, brain neurological damage characterizing induction of AD as indicated by histopathological changes in the brain and the increase in Aβ, ACHE and MDA as well as the decrease in SOD and TAC was more pronounced in PM rats. Administration of EGCG and/or CoQ10 during induction of AD showed protective effect in both NF and PM rats as indicated by the decreased Aβ, ACHE, MDA together with the increased SOD, TAC and confirmed by histo pathological examinations in different brain regions. However, the effect of combined treatment was more pronounced in both NF and PM rats. Conclusion: PM is a risk factor in induction of AD, EGCG and CoQ10 combined therapy has marked protective effects during induction of AD in both NF and PM rats rather than each individual treatment.
On-Line Video Motion Estimation by Invariant Receptive Inputs

In this paper, we address the problem of estimating the optical flow in long-term video sequences. We devise a computational scheme that exploits the idea of receptive fields, in which the pixel flow does not only depends on the brightness level of the pixel itself, but also on neighborhood-related information. Our approach relies on the definition of receptive units that are invariant to affine transformations of the input data. This distinguishing characteristic allows us to build a video-receptive-inputs database with arbitrary detail level, that can be used to match local features and to determine their motion. We propose a parallel computational scheme, well suited for nowadays parallel architectures, to exploit motion information and invariant features from real-time video streams, for deep feature extraction, object detection, tracking, and other applications.
Dynamic Network Connectivity Analysis to Identify Epileptogenic Zones Based on Stereo-Electroencephalography

Objectives: Accurate localization of epileptogenic zones (EZs) is essential for successful surgical treatment of refractory focal epilepsy. The aim of the present study is to investigate whether a dynamic network connectivity analysis based on stereo-electroencephalography (SEEG) signals is effective in localizing EZs. Methods: SEEG data were recorded from seven patients who underwent presurgical evaluation for the treatment of refractory focal epilepsy and for whom the subsequent resective surgery gave a good outcome. A time-variant multivariate autoregressive model was constructed using a Kalman filter, and the time-variant partial directed coherence was computed. This was then used to construct a dynamic directed network model of the epileptic brain. Three graph measures (in-degree, out-degree, and betweenness centrality) were used to analyze the characteristics of the dynamic network and to find the important nodes in it. Results: In all seven patients, the indicative EZs localized by the in-degree and the betweenness centrality were highly consistent with the clinically diagnosed EZs. However, the out-degree did not indicate any significant differences between nodes in the network. Conclusions: In this work, a method based on ictal SEEG signals and effective connectivity analysis localized EZs accurately. The results suggest that the in-degree and betweenness centrality may be better network characteristics to localize EZs than the out-degree.