Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Emotion States During e-Learning

In recent years many systems for distance learning have been developed. Even though students have access to learning material any time and any place, current tools for e-learning still have their limitations. The main shortcoming, compared to real life learning is the limited opportunity for human like interaction between student, teacher and material. This lack of multimodal communication limits one’s sense of being a member of an academic community. Virtual communities offer a challenging opportunity to solve this shortcoming. In this paper we report about a virtual community for e-learning using serious gaming technology. This virtual community is the first step to a virtual University, a virtual community for academic learning. The virtual community will be populated by agents representing students, teachers and campus employees. These agents are autonomous or controlled by users. We focus on multimodal communication between agents realized by game technology. And interaction between agents and the virtual world realized by waypoints in the simulated world. The design and implementation of the communication model will be presented and the first test results of a user experiment will be reported.
Interpreting Permanent Shocks to Output When Aggregate Demand May Not Be Neutral in the Long Run

This paper studies Blanchard and Quah’s (1989) statistical model of permanent and transitory shocks to output using a set of arguably more plausible structural assumptions. Economists typically motivate this statistical model by assuming aggregate demand shocks have no long-run effect on the level of output. Many economic theories are, however, inconsistent with that assumption. We reinterpret this statistical model assuming a positive shock to aggregate supply lowers the price level and in the long run raises output while a positive shock to aggregate demand raises the price level. No assumption is made about the long-run output effect of aggregate demand. Based on these assumptions, we show that a puzzling finding from the empirical literature implies that a positive (negative) aggregate demand shock had a long-run positive (negative) effect on the level of output in a number of pre-World War I economies.
MHz Class Repetitively Q-Switched, High-Power Ruby Lasers for High-Speed Photographic Applications

Abstract : Repetitively pulsed lasers have been developed that have served as excellent illumination sources for high speed framing photography. This invited paper discusses the general subject of laser illuminators for high speed photography as well as specific capabilities of a high repetition rate Q switched ruby laser system that provides laser pulse repetition rates up to 1 MHz. Individual laser pulse energies of tilde 1 J are obtained at a laser repetition rate of 250 kHz, and proportionately lower energies as the pulse repetition rate is increased to 1 MHz. Nearly uniform pulse to pulse micropulse laser pulse energies are obtained providing for nearly constant illumination over the ~120 microsecs laser pulse envelope duration. Example images are provided illustrating the integration of the ruby laser system and camera system with a gun range to obtain high speed framing camera images of ballistic events.
Availability comparison between three dissimi-lar photovoltaic configurations

The paper deals with availability comparison between three dissimilar photovoltaic configurations using Markov Birth-Death process and probabilistic approach. The configurations consist of four subsystems arranged in series-parallel with three possible states; working with full capacity, reduced capacity and failed. Through the transition diagrams, systems of differential equations are developed and solved recur-sively via probabilistic approach. Explicit expressions for steady-state availability are derived. Availability matrices for each subsystem have been developed to provide various performance values for different combinations of failure and repair rates of all subsystems. Furthermore, we compare the availability for the three configurations and find that configuration III is more reliable than system, I and II. The results have shown that the system availability increases with increase in redundant units. The results of this paper will enhance the system performance and useful for timely execution of proper maintenance improvement, decision, planning and optimization.
FLOCCULATION/DISPERSION OF HEMATITE WITH CAUSTIC DIGESTED STARCH

Selective flocculation of hematite with starch is a process well-known in practice. However, the separation of hematite from other minerals depends strongly on the methods of starch digestion performed either as heating-digestion or alkali-digestion (different type and dosage of alkali). The purpose of this study is to identify possible influence of the alkali-digested starch on flocculation of ultra- fine hematite when the starch was digested at different concentrations of sodium hydroxide at room temperature. Adsorption of starch digested with sodium hydroxide at different concentration on hematite was investigated by abstraction and co-precipitation tests. Turbidities tests, settling rates, flocculation/dispersion measurement and Fourier transform infrared spectroscopic analysis (FTIR) have also been conducted. Based on the results of the above mentioned tests it is suggested that the flocculating power of caustic digested starch towards fine particles may be significantly weakened, while its dispersing ability starts to play a role instead, if the concentration of sodium hydroxide is high enough in starch digestion. When the weight ratio of NaOH /starch is lower than 2, incomplete gelatinization of starch granules may lead to coagulation of fine particles of hematite mostly due to non-selective electrostatic attraction. The weight ratio of NaOH /starch from 2 to 4 helps to flocculate mineral surfaces selectively and efficiently, assuring a complete digestion of starch granules and a small amount of acidic functional products on the starch chain. However, much smaller and homogenous short-chain granules resulting from higher concentration of sodium hydroxide (the weight ratio of NaOH /starch is more than 4) used to digest starch may weaken the flocculating capacity of the caustized starch for hematite and lead to its dispersion.
Investigating the Effect of Senior Team Social Integration on Managerial Ambidexterity: Moderating Role of Transformational Leadership, Banking Sector in Lahore, Pakistan.

Managers and senior team members played a vital role in the success of an organization. Manager’s activities of exploration and exploitation have impact upon unit-level outcomes and procedures. Senior team member’s attributes effected the managerial ambidexterity. Hence, this study identifies how senior team members settled conflicting demands and assist the balance of apparently opposing forces of exploration and exploitation and behavior of transformational leadership as moderator for achieving managerial ambidexterity. This study hypothesized a link among managerial ambidexterity and senior team social integration. While, transformational leadership works as a moderator. The results were based on multistage stratified selected sampling of 300 middle managers of banks belonged to the city of Lahore , Pakistan. The study employed correlation, regression, and multiple regression to find the results. Findings described that a senior team social integration is related to manager’s attitude to combine the activities of exploration and exploitation, Furthermore, transformational leadership behavior increases the senior team social integration efficacy but in the negative direction.
An examination of delay discounting in sex offenders with dual diagnoses

AN ABSTRACT OF THE THESIS OF CHAD A. PONCINIE. For the Master of Science degree in Behavior Analysis and Therapy, presented on 21 June 2013. TITLE: AN EXAMINATION OF DELAY DISCOUNTING IN SEX OFFENDERS WITH DUAL DIAGNOSES MAJOR PROFESSOR: Dr. Mark R. Dixon Discounting of delayed rewards by sex offenders with dual diagnoses was compared to discounting of delayed rewards by matched control non-offenders with dual diagnoses. All participants completed a hypothetical choice task in which they made repeated choices between 10 dollars/servings after a delay and an equal or lesser amount available immediately. The delay to the large reward was varied from 1 day to 2 years across conditions. Indifference points between immediate and delayed rewards were identified at each delay condition by varying the amount of immediate money across choice trials. Overall, those identified as sex offenders discounted the delayed reward more steeply than did the control non-offenders.
The Correlation of Suicide Attempt and Suicidal Ideation with Insight, Depression and Severity of Illness in Schizophrenic Patients

Objective: At this study, it is aimed to determine criteria to predict the suicidal risks of schizophrenic patients and to explore the correlation of suicide attempt and suicidal ideation with insight, depression and severity of illness as well. Method: Randomly selected 104 inpatients between 20 and 65 years of age, treated with a diagnosis of schizophrenia according to DSM-IV-TR criteria at Bakirkoy Training and Research Hospital for Psychiatry, Neurology and Neurosurgery were included, and patients were examined at the period of first 72 hours of admission. The patients were evaluated with Schedule for Assessing the Three Components of Insight (SAI), Positive and Negative Syndrome Scale (PANSS), and Calgary Depression Scale for Schizophrenia (CDSS). Results: Depression scores were higher in the patients who had suicide attempt compared to those without suicide attempt. Depression and insight scores of the patients who had suicidal ideation were found to be higher compared to those without suicidal ideation. In the logistic regression analysis, CDSS was found to be the determinant of suicide attempt and suicidal ideation, PANSS negative total score was found to be the determinant of suicidal ideation, and self destructive behavior was found to be the determinant of suicide attempt. Conclusion: As depression was the common factor that determines the suicidal ideation and suicide attempts, suicidal ideation should be inquired more carefully and in more detail in the presence of depressive symptoms in patients with schizophrenia. We consider that CDSS can be easily applied and can determine the depression in patients with schizophrenia and the treatment of depression with eligible methods in turn, decreases risk of suicide.
A Fuzzy Inference Approach for Association Rule Mining

The association rule mining is most popular and real time applicable approach for finding interesting relations between items. Many of the ARM (Association rule Mining) approaches are well investigated in the literature, but it generates large number of association rules. If the dataset size is larger, then huge rules may occur, often it is a critical situation where decision making is difficult or unattainable because knowledge is not directly present in frequent patterns. This paper presents an improved AIRM (Association Inference Rule Mining) algorithm where fuzzy logic based C-Means clustering concept has been adopted to discover inference knowledge from frequent patterns. For experimental study, we apply this approach on a clinical dataset of 1000 patients, contained symptoms having different diseases. Proposed approach follows three phase procedure in order to achieve inference knowledge, in the first phase preprocess the data, second phase apply the ARM and finally FIS has to be applied to discover inference knowledge by matching inference rules and put the data in the appropriate class on the basis of their matching degree. The new approach is efficient and outperforms as compared to a previous AIRM algorithm in order to match inference rules and knowledge discovery process.
Exploring Bimodality in Introductory Computer Science Performance Distributions

This study examines student performance distributions evidence bimodality, or whether there are two distinct populations in three introductory computer science courses grades at a four-year southwestern university in the United States for the period 2014-2017. Results suggest that computer science course grades are not bimodal. These findings counter the double hump assertion and suggest that proper course sequencing can address the needs of students with varying levels of prior knowledge and obviate the double-hump phenomenon. Studying performance helps to improve delivery of introductory computer science courses by ensuring that courses are aligned with student needs and address preconceptions and prior knowledge and experience.
DEVELOPING EFFECTIVE SCHOOL AND UNIVERSITY PARTNERSHIPS FOR TEACHER EDUCATION

The use of school-university partnerships to address the theory-practice divide in teacher education has recently come to attention in international teacher education studies (e.g. Darling-Hammond, 2005; Jones & Ryan, in press). School-university partnerships are particularly important in primary science teacher education as a means to overcome limited opportunities primary pre-service teachers have to observe and practice science teaching during their Practicum. Their opportunities are limited due to a lack of practising teachers who include science in their classroom teaching or who do not feel sufficiently competent to act as science mentors. This is generally attributable to low teacher confidence and knowledge of how to teach science (Jones & Carter, 2007). This workshop will report on a study which is exploring existing approaches to school-university partnerships in science teacher education at 5 Australian universities. Utilising a multiple case study methodology (Yin, 2009), the project has examined the experiences of establishing, maintaining and developing these partnership and explored the benefits of the partnerships for pre-service teachers, practising teachers and schools. A key outcome of the project is the development of an "Interpretive Framework" in which partnership practices were exemplified, contextualized and summarized, documenting key phases in the development of partnership arrangements. The Framework is currently undergoing validation with Australian universities. In this paper, the authors present the Framework to an braoder audience for comment and seek to explore its relevance and transferability to school-university partnerships in an international context.
Plug-in hybrid and battery electric vehicles in South Africa: market forecasts

This paper uses diffusion modeling to forecast the sales of Plug-in Hybrid and Battery Electric Vehicles (PH/BEVs) in South Africa. First the potential benefits of PH/BEVs in South Africa are scrutinized. The global PH/BEV market is analyzed along with the goals and enticement policies of the countries that are best positioned for a widespread uptake of PH/BEVs. The supply and demand challenges facing the market for PH/BEVs in South Africa are evaluated with a review of current and proposed public policies. The total sales of PH/BEVs in South Africa are then forecast for the medium and long term using an adapted multiple technology generation Bass model with variable parameters for vehicle purchase price and running cost. Two scenarios are examined involving varying oil prices, electricity prices, government support and PH/BEV technological development. GRNAND016
Physical and chemical parameters and trace metal flux in water, soil and plant samples collected from industrial effluent affected areas in and around Dhaka city

Water and soil samples were collected from five different industrial areas around Dhaka city namely, (i) Powertex Fashion Ltd., Gazipur (Textile), (ii) Shetu Pesticide Ltd., Savar (Pesticide), (iii) Salma Leather Industry, Hazaribagh (Tannery), (iv) Monno Ceramic Industries, Nayarhat, Dhamrai, (Ceramic) and (v) ACME Laboratories Ltd., Tulivita, Dhamrai (Pharmaceutical) where selected for this study. Two plants species viz. Colocasia esculenta (L.) Schott and Ipomoea aquatica Forssk. commonly growing in the industrial effluent affected areas were selected to observe the rate of heavy metal uptake. Dissolved oxygen (DO) was found below the permissible limit in all the affected areas (lowest 0.88 mg/l in tannery waste affected areas) indicating high amount of organic wastage discharge from tannery. Eight trace metals viz. arsenic, cadmium, nickel, iron, zinc, chromium, copper and lead were analysed for water, soil and plant samples. Arsenic and cadmium exceeded the permissible limit in water sample collected from all affected areas. Tannery waste affected area was found to be the most vulnerable area in respect to arsenic and chromium contamination. On the other hand, the highest amount of arsenic was found in the soil sample collected from pesticide affected area. The rate of heavy metal uptake in Colocasia esculenta (L.) Schott is much higher than Ipomoea aquatica Forssk. More heavy metals were accumulated in edible portion than roots of the plants.
Therapeutic effects of NogoA vaccine and olfactory ensheathing glial cell implantation on acute spinal cord injury

License. The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. Permissions beyond the scope of the License are administered by Dove Medical Press Limited. Information on how to request permission may be found at: http://www.dovepress. com/permissions.php Journal of Neurorestoratology 2013:1 43–53 Journal of Neurorestoratology Dovepress
Future Elementary Teachers’ Knowledge and Skills in Selection of Teaching Methods

Evolution of creative thinking of future elementary school teachers to enhance the formation of skills in order to design a learning process by selecting an appropriate teaching method has not yet been adequately evaluated. It is important to select a well designed method which might be a key to achieve the goal. The present study aimed to analyse the formation of future elementary school teachers’ ability to select a teaching method in the traditional system of general didactic training in Ukraine, which has not been reported previously. Three hundred and eighty seven students were enrolled and three groups were established: group 1 (2nd year), group 2 (3rd year), and group 3 (5th year). The questions and scales were designed and the interview as well as theorethical and practical tasks were performed accordingly.The results indicated that students in groups 1 and 2 obtained higher score in knowledge task compared to the group 3. In addition, the level of knowledge in group 3 decreased while the skill level increased. The results of our study highlight that the refreshing didactical knowledge during teaching practice courses for future elementary teachers was neglected.
Bargaining power and the arbitration and adjudication of territorial claims 1

To examine the political factors that influence the use of legal mechanisms to resolve territorial disputes, we model the decision to pursue arbitration and adjudication as part of a bargaining process in the shadow of war. We find that arbitration and adjudication can help prevent bargaining breakdown, but states only pursue and comply with such measures when the expected ruling reflects the balance of power between them. To test the theory, we examine compliance with arbitral and adjudicated rulings on territorial claims. In line with our expectations, states are less likely to comply when the stronger disputant is asked to make greater concessions. We conclude that power politics constrains the conditions under which legal mechanisms can be used to successfully manage contentious claims over territory.
Conception of adaptive programming languages

Adaptive devices show the characteristic of dynamically change themselves in response to input stimuli with no interference of external agents. Occasional changes in behaviour are immediately detected by the devices, which right away react spontaneously to them. Chronologically such devices derived from researches in the field of formal languages and automata. However, formalism spurred applications in several other fields. Based on the operation of adaptive automata, the elementary ideas generating programming adaptive languages are presented.
Probabilistic Assessment of Total Transfer Capability Using SQP and Weather Effects

This paper presents a probabilistic method to evaluate the total transfer capability (TTC) by considering the sequential quadratic programming and the uncertainty of weather conditions. After the initial TTC is calculated by sequential quadratic programming (SQP), the transient stability is checked by time simulation. Also because power systems are exposed to a variety of weather conditions the outage probability is increased due to the weather condition. The probabilistic approach is necessary to evaluate the TTC, and the Monte Carlo Simulation (MCS) is used to accomplish the probabilistic calculation of TTC by considering the various weather conditions.
Big Data Solutions for Urban Environments a Systematic Review

Big data is a vast field of research and one that has not been completely explored. Studies involving big data, especially for solving problems in urban environments, still require more evidence. This work has the objective of identifying, evaluating, and interpreting published research that examine usages of the great amount of data generated by cities and its systems, in order to use Big Data technologies to improve city conditions. To achieve that, a systematic review of current literature was conducted. This review resulted in the finding of 1291 works of which 40 were identified as primary studies. The studies were then classified according to research focus and aspect of the city they focused on. The review investigates what it is known about the benefits and limitations in the use of big data in urban environments. The results show statistical data about big data, gaps in current research and models of successful implementation. Keywords— Big Data; Smart City, Systematic Review, Ubiquity
One Kind of Routing Algorithm Modified in Wireless Sensor Network

The wireless sensor networks are the emerging next generation sensor networks, Routing technology is the wireless sensor network communication layer of the core technology. To build reliable paths in wireless sensor networks, we can consider two ways: providing multiple paths utilizing the redundancy to assure the communication reliability or constructing transmission reliability mechanism to assure the reliability of every hop. Braid multipath algorithm and ReInforM routing algorithm are the realizations of these two mechanisms. After the analysis of these two algorithms, this paper proposes a ReInforM routing algorithm based braid multipath routing algorithm.
Feature Scaling via Second-Order Cone Programming

Feature scaling has attracted considerable attention during the past several decades because of its important role in feature selection. In this paper, a novel algorithm for learning scaling factors of features is proposed. It first assigns a nonnegative scaling factor to each feature of data and then adopts a generalized performance measure to learn the optimal scaling factors. It is of interest to note that the proposed model can be transformed into a convex optimization problem: second-order cone programming (SOCP). Thus the scaling factors of features in our method are globally optimal in some sense. Several experiments on simulated data, UCI data sets, and the gene data set are conducted to demonstrate that the proposed method is more effective than previous methods.