Miracle-dz/UniFAR-FTUs huggingface dataset:
Theories of frontal lobe executive function: Clinical applications

© Oxford University Press, 2005. All rights reserved. Many of the symptoms that are particularly difficult to treat are associated with damage to the frontal lobes. There are a very large number of symptoms which are collectively referred to as 'dysexecutive symptoms'. This chapter describes some of the latest findings about the functional anatomy of the frontal lobes, the main clusters of frontal lobe symptoms, how they relate together, and their relative importance. It explains the main theories of how the frontal lobe executive system works and how they relate to the symptoms seen day to day. It also offers some predictions about therapeutic methods that might be worth pursuing based on these theories. Many of the symptoms that are particularly difficult to treat are associated with damage to the frontal lobes. There are a very large number of symptoms which are collectively referred to as 'dysexecutive symptoms'. These are not only problematic in themselves, but can also affect a patient's ability to benefit from therapy aimed at ameliorating other forms of deficit (e.g. physical therapy), and are often associated with a generally poor response to treatment (Alderman 1991). Considerable treatment advances have been made in this area in the last few years. However, in order to develop new methods we need to understand the causes of the particular symptoms. This chapter has four aims: (1) To describe some of the latest findings about the functional anatomy of the frontal lobes; (2) to describe the main clusters of frontal lobe symptoms, how they relate together, and their relative importance; (3) to explain the main theories of how the frontal lobe executive system works and how they relate to the symptoms you can expect to see day to day, and (4) to give some 'blue-sky' predictions about which therapeutic methods might be worth pursuing based on these theories.
E-Learning Courseware Usability: Building a Theoretical Model

Based on a stream of research, this study identified four components of the e-learning courseware usability: fundamental, appearance, information presentation, and communication. The communication component was considered an expanded component of the e-learning courseware usability. A theoretical model was built and three hypotheses were developed to examine whether the communication component as an expanded component of the e-learning courseware usability significantly and positively contributed to the three components of the e-learning courseware usability (fundamental, appearance, and information presentation). An instrument was developed and administered to subjects taking various e-learning courses. The collected data were analyzed using a variance-based Structural Equation Modeling (SEM) package that uses Partial Least Square (PLS). Analyses of the results indicated a strong validated model supporting all stated hypotheses.
Luminance enhancement in single image dehazing

Haze is an extreme reason of the reduction of contrast when capturing image in the outdoor. Recently, there are several single image dehazing techniques, but they are not robust in dynamic variations of natural environment caused by the thickness, coverage of haze and appearance of sunlight. In this paper, we propose an effective and robust method to enhance luminance for image dehazing depending on histogram analysis. Compare with conventional methods, our proposal have better performance in term of contrast, and computation time.
AN ANALYSIS OF INDONESIA ENGLISH CODE MIXING IN FACEBOOK STATUS USERS

This research investigates the use of code mixing in Facebook by Indonesian people. The purpose of this study is to describe the kind of code mixing used by Indonesian people in Facebook status users. This research employs the descriptive qualitative method. The data were taken from the Indonesian Facebook users posting. The data are analyzed based on Suwito’s theory. The results show that there are six types of linguistic forms of code mixing consisting of 11 data or 22% form of word; 21 data or 42% data phrase; 2 data or 4% repetition; 6 data or 12% idiom; 9 data or 18% clause; 1 data or 2% hybrid. Thus, the conclusion of this research is the students use two languages i.e. Indonesia and English as code mixing, and the researchers found the Facebook status users used code mixing of the phrase in the most form of code mixing. Keywords: Sociolinguistic, Code Mixing, Facebook
A low-cost auditory multi-class brain-computer interface based on pitch, spatial and timbre cues

P300-based brain-computer interfaces (BCIs) are especially useful for people with illnesses, which prevent them from communicating in a normal way (e.g. brain or spinal cord injury). However, most of the existing P300-based BCI systems use visual stimulation which may not be suitable for patients with sight deterioration (e.g. patients suffering from amyotrophic lateral sclerosis). Moreover, P300-based BCI systems rely on expensive equipment, which greatly limits their use outside the clinical environment. Therefore, we propose a multi-class BCI system based solely on auditory stimuli, which makes use of low-cost EEG technology. We explored different combinations of timbre, pitch and spatial auditory stimuli (TimPiSp: timbre-pitch-spatial, TimSp: timbre-spatial, and Timb: timbre-only) and three inter-stimulus intervals (150ms, 175ms and 300ms), and evaluated our system by conducting an oddball task on 7 healthy subjects. This is the first study in which these 3 auditory cues are compared. After averaging several repetitions in the 175ms inter-stimulus interval, we obtained average selection accuracies of 97.14%, 91.43%, and 88.57% for modalities TimPiSp, TimSp, and Timb, respectively. Best subject’s accuracy was 100% in all modalities and inter-stimulus intervals. Average information transfer rate for the 150ms inter-stimulus interval in the TimPiSp modality was 14.85 bits/min. Best subject’s information transfer rate was 39.96 bits/min for 175ms Timbre condition. Based on the TimPiSp modality, an auditory P300 speller was implemented and evaluated by asking users to type a 12-characters-long phrase. Six out of 7 users completed the task. The average spelling speed was 0.56 chars/min and best subject’s performance was 0.84 chars/min. The obtained results show that the proposed auditory BCI is successful with healthy subjects and may constitute the basis for future implementations of more practical and affordable auditory P300-based BCI systems.
Psychometric Evaluation of the Italian Obsessive Compulsive Inventory–Child Version: Factor Structure and Predictive Validity at One-Year Follow-Up in Adolescents

Abstract Obsessive–compulsive disorder (OCD) in adolescents is understudied in Italy. This study evaluated the Italian Obsessive Compulsive Inventory–Child Version (OCI–CV) and its predictive validity on OCD symptoms at 1-year-follow-up, an aspect that was not investigated by previous international research. Use of OCI–CV in schools might enhance early identification of OCD symptoms.
Sink or Skim: Students' Textbook Use in Introductory Accounting

Despite the significant emphasis that most instructors place on textbooks in introductory accounting courses, little research exists to describe how students use and interact with their textbooks. Using learning journals, 172 undergraduate students provided detailed, real-time accounts of their experiences with 13 chapters of an introductory financial accounting textbook. This paper reports the results of qualitative and quantitative analyses that begin to characterize textbook use from a student perspective. These results provide guidance for instructors wanting to understand student reading behaviors such as reading strategies, timing strategies, and differences between strong and weak students. In addition, in each of these areas, we identify important and interesting questions to direct future research.
Reverse HTTP tunneling for firewall traversal

This thesis describes a reverse hypertext tunneling protocol that allows a web browser from outside a firewall to access a web server inside a firewall. Reverse HTTP utilizes pre-existing proxy services to create a transparent and scalable method to tunnel through a firewall. Reverse HTTP provides an excellent solution to the problem of providing controlled access to firewall protected resources. This is because unlike traditional firewall traversal methods, reverse HTTP is completely software based and requires no changes to the existing firewall configuration. Reverse HTTP works because it tunnels traffic in a form which a web proxy server on the firewall allows to pass. A Java software implementation has been developed and tested to demonstrate the usefulness and efficacy of the reverse HTTP protocol. This experimental implementation proves that a portable, scalable solution can be developed with comparable performance characteristics to a normal web proxy. Although the implementation can be used to view protected web sites, it does not compromise the overall network security. Thesis Supervisor: Hari Balakrishnan Title: Assistant Professor
Data-driven facial animation synthesis by learning from facial motion capture data

Synthesizing realistic facial animation remains one of the most challenging topics in the graphics community because of the complexity of deformation of a moving face and our inherent sensitivity to the subtleties of human facial motion. The central goal of this dissertation is to attempt data-driven facial animation synthesis that captures the dynamics, naturalness, and personality of facial motion while human subjects are speaking with emotions. The solution is to synthesize realistic 3D talking faces by learning from facial motion capture data. This dissertation addresses three critical parts of realistic talking face synthesis: realistic eye motion synthesis, natural head motion synthesis, and expressive speech animation synthesis. A texture-synthesis based approach is presented to simultaneously synthesize realistic eye gaze and blink motion, accounting for any possible correlations between the two. The quality of statistical modeling and the introduction of gaze-eyelid coupling are improvement over previous work, and the synthesized eye results are hard to distinguish from actual captured eye motion. Two different approaches (sample-based and model-based) are presented to synthesize appropriate head motion. Based on the aligned training pairs between audio features and head motion, the sample-based approach uses a K-nearest neighbors-based dynamic programming algorithm to search for the optimal head motion samples given novel speech input. The model-based approach uses the Hidden Markov Models (HMMs) to synthesize natural head motion. HMMs are trained to capture the temporal relation between the acoustic prosodic features and head motion. This dissertation also presents two different approaches (model-based and sample-based) to generate novel expressive speech animation given new speech input. The model-based synthesis approach accurately learns speech co-articulation models and expression eigen spaces from facial motion data, and then it synthesizes novel expressive speech animations by applying these generative co-articulation models and sampling from the constructed expression eigen spaces. The sample-based synthesis system (eFASE) automatically generates expressive speech animation by concatenating captured facial motion frames while animators establish constraints and goals (novel phoneme-aligned speech input and its emotion modifiers). Users can also edit the processed facial motion database via a novel phoneme-Isomap interface.
Review of the theoretical underpinnings in the creative tourism research field

Despite the rising number of creative tourism publications, this field is still an emerging research area. Its studies range from urban cities to rural areas, including different uses of creativity, culture, events, creative networks and experience co-creation. This study focused on the main theoretical subjects of creative tourism as a separate field of research. The results pinpoint vital issues present in the creative tourism literature, while recognising that this field is still evolving. After a thorough literature review, three main theoretical streams of contributions were found in the literature: 1) creativity and its relationship to tourism, (2) specialised consumption as a characteristic of postmodern tourists and 3) the experience economy paradigm and experience co-creation. The findings include the main theoretical underpinnings of creative tourism that have caused this special interest tourism to attract so much attention in recent years.
Initial experience in primal-dual optimization reconstruction from sparse-PET patient data

There exists interest in designing a PET system with reduced detectors due to cost concerns, while not significantly compromising the PET utility. Recently developed optimization-based algorithms, which have demonstrated the potential clinical utility in image reconstruction from sparse CT data, may be used for enabling such design of innovative PET systems. In this work, we investigate a PET configuration with reduced number of detectors, and carry out preliminary studies from patient data collected by use of such sparse-PET configuration. We consider an optimization problem combining Kullback-Leibler (KL) data fidelity with an image TV constraint, and solve it by using a primal-dual optimization algorithm developed by Chambolle and Pock. Results show that advanced algorithms may enable the design of innovative PET configurations with reduced number of detectors, while yielding potential practical PET utilities.
Type debugging in functional languages

One of the features of functional languages, such as Haskell and SML, is that the data types of the variables and functions can be inferred from their usage. Unfortunately when an error occurs from this type inference, it may be difficult for a novice programmer to trace the error's source. We introduce two categories of type errors. Explicit type errors are caused by the user attempting to use incompatible types together. Attributed type errors are the result of editing or syntactical mistakes that are not detected until type checking occurs. The programmer requires differing forms of error messages to debug each category of type error more effectively. We present these display systems and determine that to implement them, the type of each sub-expression in the code must be inferred. This can be implemented using an algorithm given by Beaven and Stansifer.
The causal relationship between short- and long-term interest rates: an empirical assessment of the United States

This paper addresses one of the central aspects of the transmission mechanism of monetary policy, namely the ability of central banks to affect the structure of interest rates. To shed light on this issue, we assess the causal relationship between short- and long-term interest rates, that is, the Effective Federal Funds Rate (FF), the Moody's Seasoned Aaa Corporate Bond Yield (AAA), and the 10-Year Treasury Constant Maturity Rate (GB10Y). We apply Structural Vector Autoregressive (SVAR) models to monthly data provided by the Federal Reserve Economic Data (FRED). Our findings – estimated for the 1954-2018 period – outline an asymmetry in the relationship between short- and long-term interest rates. In particular, although we found a bidirectional relationship when the 10-year treasury bond GB10Y was included as the long-run rate, a unidirectional relationship that moves from short- to long-term interest rates is estimated when the interest rate on corporate bonds ranked AAA is taken into consideration. Furthermore, the conclusions drawn by the impulse response functions (IRFs) are confirmed and strengthened by the Forecast Error Variance Decomposition (FEVD) which shows that monetary policy is able to permanently affect long-term interest rates over a long temporal horizon, i.e., not only in the short run but also in the long run. In this way, following the Keynesian tradition, long-term interest rates appear to be strongly influenced by the central bank. Finally, despite the fact that the Federal Fund rate (FF) is weakly affected by long-term interest rate shocks, the estimated FEVD shows that FF is mainly determined by its own shock allowing us to assume that the central bank has a certain degree of freedom in setting the levels of short-run interest rates.
The effects of the level of education on youth unemployment duration

espanolEl objetivo de esta investigacion consiste en conocer los efectos de la formacion sobre la probabilidad de que un joven desempleado encuentre trabajo. Para ello se utiliza una base de datos de desempleados de ambito regionalfacilitada por el Servicio Publico de Empleo de Asturias para el periodo 20092012. Los resultados indican que, en general, la formacion universitaria no fue una garantia para elevar significativamente la probabilidad de conseguir empleo durante la fase mas fuerte de la crisis economica. Por su parte, la formacion profesional eleva la probabilidad de conseguir un empleo para ambos generos, y el conocimiento de idiomas extranjeros (ingles y frances) tiene un efecto positivo fundamentalmente en el caso de las mujeres. Finalmente, se ha observado que las prestaciones por desempleo desincentivan la obtencion de un empleo para ambos sexos, pero especialmente en el caso de las mujeres. EnglishThe aim of this paper is to determine how education has an effect on the probability of young unemployed people to find a job, by using a regional dataset provided by the Public Employment Service from the region of Asturias for the period 2009-2012. The outcomes show that university degrees do not make employability easier, in general, during the recent economic crisis. Moreover, vocational training increases the probability of getting a job for both genders, whereas the knowledge of English and French languages has a positive effect mainly in the case of women. Finally, unemployment benefits discourage unemployed from getting a new job, mainly for women.
Twenty years of Czech science: A bibliometric analysis

To reveal the research performance and trends of the Czech Republic, this study carried out a bibliometric analysis of Czech publications during 1993 – 2012 covered in the Science Citation Index Expanded. A total of 105,103 articles were analyzed in terms of categories, publication sources (journals), contributing institutions, countries, authors, collaboration, most cited articles, as well as research emphases by the distribution of article title words, author keywords, and KeyWords Plus. The main findings include: (a) the annual numbers of Czech articles rose almost steadily during 1993-2012, with a sudden increase in 1994 due to the split of Czechoslovakia in 1993; (b) multidisciplinary materials science, physical chemistry, and multidisciplinary chemistry were the most active research categories; (c) Czech journals were more preferred to by Czech scientists compared to the foreign journals, while the top three journals were Collection of Czechoslovak Chemical Communications, Chemicke Listy, and Czechoslovak Journal of Physics; (d) Except for the Academy of Sciences of the Czech Republic, Charles University in Prague contributed the most articles and had the highest growth rate among the top seven institutions; (e) the most frequently collaborative countries were five of seven industrial countries: Germany, United States, France, United Kingdom, and Italy, as well as the other successor of Czechoslovakia, i.e. Slovakia; (f) The Czech research related to mechanical properties, Raman spectroscopy, phylogeny, and oxidative stress have come more popular in recent years.
HASBE access control model with Secure Key Distribution and Efficient Domain Hierarchy for cloud computing

Cloud computing refers to the application and service that run on a distributed system using virtualized resources and access by common internet protocol and networking standard. Cloud computing virtualizes system by pooling and sharing resources. System and resources can be monitored from central infrastructure as needed. It requires high security because now day’s companies are placing more essential and huge amount of data on cloud. Hence traditional access control models are not sufficient for cloud computing applications. So encryption based on Attribute (“ABE”-“Attribute based encryption”) has been offered for access control of subcontracted data in cloud computing with complex access control policies. Traditional HASBE provides Flexibility, scalability and fine-grained access control but does not support hierarchical domain structure. In this paper, we had enhanced “Hierarchical attribute-set-based encryption” (“HASBE”) access control with a hierarchical assembly of users, with flexible domain Hierarchy structure and Secure key distribution with predefined policy
Low-cost magnetic resonance sensors for process monitoring in the food industry

Low-cost magnetic resonance (MR) sensors have in recent years been used to investigate a number of systems by measuring the relaxation times T1 and T2eff. These measured parameters vary in line with changes in many systems giving the investigator a useful non-invasive probe. While the use of MR for in-line or on-line process monitoring in the food industry is not a novel concept, much of the work conducted previously has involved acquiring spatially resolved data which requires a magnetic resonance imaging system. These are both expensive to purchase and maintain, occupy large amounts of space and present problems with safety. In this work we show the value that a very inexpensive magnet and coil geometry (<€200) can bring to process monitoring. A MR sensor utilising an eight-element Halbach cylinder with internal diameter of 10mm has been constructed giving a highly uniform magnetic field yielding a strong signal-to-noise ratio. It is shown to be useful for assessing the relaxation times of a range of relevant samples.
User modeling and data mining in intelligent educational games : Prime Climb a case study

ii Preface . iii Table of Contents . iv List of Tables . viii List of Figures . xiii Acknowledgements . xvi Dedication . xvii 1 Chapter: Introduction . 1 2 Chapter: Review on Prime Climb’s Student Model and User Studies . 6 2.1 Prime Climb . 6 2.2 Magnifying Glass Tool in Prime Climb . 7 2.3 Student Modeling and Pedagogical Agent in Prime Climb . 8 2.3. 1 Prime Climb Model’s Structure . 9 2.3. 2 Prime Climb Model’s Parameters . 11 2.3. 3 Original Rollup Procedure in PC-DBN . 14 2.4 Hinting Strategy in Prime Climb . 15 2.5 Experiments and Data Collection . 17 2.5. 1 Experiment 1: Old Prime Climb (Computer-based Version) . 18 2.5. 2 Experiment 2: New Prime Climb (Web-based Version) . 19 3 Chapter: Literature Review . 22
Optimization Design of Vibrating Screen Damping Spring Based on Multi-objective Genetic Algorithm

The damping spring plays an important role in the design of the vibrating screen. In view of the problems existing in the design of the vibration damper, the multiobjective genetic algorithm is used to select the relevant design variables of the damping spring, and the objective function and the constraint conditions are established to obtain the optimal solution. Finally, the practicality of the algorithm is verified by practical application. KeywordsVibrating screen; vibration damper; multi objective genetic algorithm; optimum design