Miracle-dz/UniFAR-FTUs huggingface dataset:
Maximizing Student Learning with the Use of Random Oral Questioning in the College Classroom

This research study investigated the effectiveness of random oral questioning during class lectures and discussions to promote consistent preparation, active participation and higher course achievement among undergraduate students. Treatment subjects were called upon by name to answer questions pertaining to assigned readings or the current topic of discussion. Control subjects were permitted to answer identical questions on a voluntary basis. The effect of random oral questioning across varying levels of self-regulated learning was also investigated, as was the effectiveness of the technique in reducing measured levels of student classroom communication apprehension. Treatment subjects obtained significantly higher levels of course achievement than did control subjects, indicating the benefits of the instructional method. The "simplicity" of random oral questioning may facilitate widespread implementation of the technique at the undergraduate level. Educational theorists such as Bruner and Piaget have stressed the importance of student involvement in the learning process. This constructivist view of learning denies the notion that students can effectively acquire new knowledge simply by absorbing information provided by a teacher. Rote memorization or the regurgitation of facts does not exemplify learning or understanding (pines and West, 1986). Rather, students should be active seekers and processors of information, not passive recipients (Schunk, 1986; Davis & Murrell, 1994) and communication through discussion needs to complement or replace the memorization of finished knowledge (Hauser, 1990). For meaningfulleaming to take place, students need to construct their own knowledge by assimilating and integrating new concepts. This constructivist approach to teaching "puts the student in the drivers seat" (perkins, 1992) and stresses the importance of active student engagement. Unfortunately, many undergraduate students are not actively engaged in the learning process (McKeachie, 1994; King, 1993). This lack of student engagement manifests itself when students fail to do assigned readings, are inattentive during lectures and fail to participate in class discussions. Disengagement in the form of nonpreparedness and off-task behaviors during class has a strong negative impact on student achievement (Nystrand & Gamoran, 1989).
Discrete Electromagnetism with DEC

My goal in this paper is to discuss problems in computational electromagnetism (E&M) as a motivation for more general theories of discrete differential geometry. In particular, the theory developed by Bossavit [1], [2], [3], has motivated— both historically and practically—the development of a discrete exterior calculus (DEC), [7], [6], with applications beyond just E&M. First, I will discuss why we might wish to take a “geometric” approach to numerical problems such as these. Next, I will give a brief overview of Maxwell’s equations, the centerpiece of E&M, and how we can get greater geometrical insight into them by using differential forms rather than ordinary vector calculus. I will then discuss Bossavit’s treatment of computing solutions to Maxwell’s equations (as presented in [1]) and show how this weak/finite element description has a natural correspondence to differential forms. After this, I will introduce the DEC operators that are pertinent to computational E&M. Finally, I will give a worked example of how to use DEC to derive discrete equations of motion from a variational principle for the spacetime Maxwell’s equations.
Teachers’ Perceptions and Attitudes of One Teacher Laptop Initiative: Connections Toward 21st Century Learning

This mixed-methods study analyzed the attitudes and perceptions of teachers following the implementation of a teacher laptop initiative. Data suggested that following the teacher laptop initiative participants in this study perceived they increased their computer use and began to adopt technology in the classroom. Results suggested that teachers became more comfortable with computers when given a laptop and that a teacher laptop initiative, coupled with professional development, can better prepare students for the 21st century.
Exploring Relationship between Impulsive Personality Traits and Financial Risk Behavior of Individual Investors

It is believed that an individual is rational. He takes financial decisions after thorough evaluation of all available investment alternatives given their risk level and thereby maximizes his wealth. However, Several studies in the recent years have proved that rationality is not the only factor influencing financial decisions of an individual. There are many other factors influencing it. This study seeks to understand impulsive personality trait as a factor affecting financial risk behavior of individuals. It studies degree of risk that an investor can assume in impulsivity. Every individual is impulsive to some extent and this impulsivity affects his decisions including financial decisions. In this study, these impulsive traits are identified and further their impact in financial risk behavior has been studied. It has been found that impulsivity and risk level are positively correlated. Further, no statistically significant difference was found between these impulsive personality traits and varying degrees of risk.
Advancement of remote technology: past perspectives and future plans

In the Consolidated Fuel Reprocessing Program at the Oak Ridge National Laboratory, a comprehensive remote systems development program has existed for the past five years. The new remote technology under development is expected to significantly improve remote operations by extending the range of admissible remote tasks and increasing remote work efficiency. The motivation and justification for the program are discussed by surveying the 40 years of remote operating experience which exists and considering the essential features of various old and new philosophies which have been, or are being, used in remote engineering. A future direction based upon the Remotex concept is explained, and recent progress in the development of an advanced servomanipulator-based maintenance concept is summarized to show that a new generation of remote systems capability is feasible through advanced technology. 20 references, 10 figures, 1 table.
A new decade for social changes

The Indonesian deradicalization program conducted by Indonesian National Counterterrorism Agency (BNPT) comes under public scrutiny due the number of terrorist recidivism with a total of 47 individuals during 2018 until 2020. This indicates that the ongoing deradicalization program has not been successful and effective and it requires a massive change across all levels. This article aims to analyse the Indonesian deradicalization programs which has been adopting the peacemaking criminology approach and how it is implemented. Employing a qualitative study through desk research and informal interviews as the data collection techniques, this article examines various problems and challenges that are hampering the peacemaking-based deradicalization programs in Indonesia, including the problem of database on the ex-convicts, methods of approach and assessment, reliance on the top-down approach conducted by government institutions, pandemic challenges, and inconsistencies with the legal or judicial aspects. Adapting to the social change approach by including the involvement of the nongovernment stakeholders is important for deradicalization program to work. This article recommends that the evaluation of deradicalization policies in Indonesia should consider the refocusing of deradicalization goals by aiming at behavioural changes rather than mindset and ideological changes, incorporating gender aspects in deradicalization programs, research-based programs formulation based on intersecting multidiscipline research fields and the possibility for the deradicalization as well as disengagement privatization programs to increase the effectiveness and reduce inefficiency.
Revisiting inflation and growth nexus in Bangladesh: an asymmetric cointegration based on non-linear ARDL approach

Sustainable high economic growth is the major objective of a country. In contrast, inflation is a critical issue that alters economic development. For this, the growth-inflation nexus is one of the most controversial topics in this present world. This study re-investigates the link between inflation and the economic development of Bangladesh by applying a nonlinear autoregressive distributed lagged (NARDL) method. We utilize yearly time series data set on the growth rate of per capita GDP and the inflation rate for the time range from 1986 to 2017. Based on the NARDL approach, the asymmetric cointegration result confirms, between the GDP growth and inflation rates (CPI), a long-run integration exists. Between growth rate and inflation rate, the study finds a positive and robust nexus both in the long-run and in the short-run with statistically significant results. This study further explores an asymmetric relationship between the rate of inflation and the rate of economic growth. The nonlinear ARDL approach shows that the GDP growth rate responds more with an upward change in inflation than a downward change. Furthermore, the positive change in inflations has a significant and positive influence on the growth rate in the short run. Still, the effect of an adverse change in inflations has statistically insignificant. Both the policymakers of Bangladesh (Bangladesh Bank) and development partners working in the country can be benefited from these results in the context of policy implementation. To boost the economic growth in the context of Bangladesh, this study recommends that a moderate inflation rate can be treated as a significant determination.
Optimized SVM Model for Vehicle Tracking and Positioning in GSM Network

: Machine Learning is one of the major popular research topics of Artificial Intelligence and it pass on with the evolution of techniques and methods which enable the data processor to learn and execute activities. Support Vector Machine (SVM) is an isolated classifier which deals with both linear and nonlinear data from hyper plane with the help of Supervised Learning Approach. Whereas Statistical Learning Theory cannot procure location information in a Sentient Computing because of functional dependencies of geographic coordinates from RSSI but SVM can predict the location fingerprint with regression estimation and linear operator inversion and realize the actual risk minimization by structural risk minimization. SVM can also deliver a good learning outcome in the face of less sample volume. The basic idea of SVM is for linearly separable samples, to find the optimal classification hyperplane which can be described accurately and the samples are separated into two categories for the linearly non-separable problems; to transform the linear non-separable problems in the original space into the linearly separable problems in highdimensional feature space by a nonlinearly transformation for the given samples. SVM gives a very low error rate when used for classification. Here proposed a new SVM based approach for Vehicle Positioning and Tracking in GSM network.
Fire ant: an algorithm providing high-performance distributed fault-tolerant communication for internet-scale network survivability

In today's world, data information, exchange, and processing are sustenance to corporations, organizations, and government agencies. Communications networks are relied upon to meet the computing needs of such organizations. These groups have computing demands that require large amounts of processing power, and use supercomputing systems consisting of massively parallel processors (MPP) for a wide range of data intensive operations. With advances in high-bandwidth network technology, the performance found in MPP can be replicated with a network of workstations (NOW). When large-scale disaster situations occur, intelligent routing algorithms are needed to maintain the necessary network resources required by NOW. These routing algorithms must be robust enough to accommodate changing network conditions and disaster situations while still providing resources for communications and acceptable load balancing of data flow. Mobile multiple autonomous units or multi-agents can be used to make routing and fault-tolerant decisions in a way similar to those of swarm insects. In this research, we develop a mobile multi-agent routing algorithm for disaster avoidance in network communications. This algorithm, called Fault-Tolerant Intelligent Routing Environment AntNet or FIRE Ant, is designed using activity structures. This is a novel approach for determining design parameters and requisite behavior of the routing algorithm. The activities of the NOWs environment are analyzed in order to find its relevant components. Activity structures are conceptual and methodological tools for capturing the adaptive activities in natural and artificial systems. In this research they allow the interaction of diverse structures in a high-performance, data communication network. The performance of the FIRE Ant algorithm is compared to a simplified version of the most well known mobile multi-agent based routing algorithm, AntNet, and to the BGP UPDATE procedure used in Internet routing. FIRE Ant is the first agent algorithm to address multiple network failures or disaster situations. FIRE Ant is a cost routing algorithm used to optimize the average flow of an entire network as a method of data flow load balancing during disaster situations. Network failures are added to the study in order to determine the effectiveness of the three algorithms during disaster situations. In the worst-case scenarios of this study, results show the FIRE Ant algorithm provides up to a 35.7% in throughput improvement over BGP UPDATE in performance when a network is experiencing a disaster situation.
REVIEW ON THERMOELECTRIC COOLING APPLICATIONS

This study reviews the recent advances of thermoelectric materials, modeling approaches and applications. Thermoelectric cooling systems have advantages over conventional cooling devices, including compact in size, light in weight, high reliability, no mechanical moving parts, no working fluid, being powered by direct current, and easily switching between cooling and heating modes. The study begins with the introduction and fundamentals of thermoelectric technology. A brief of thermoelectric generation is given. Some models have been presented which shows how the efficiency of the system can be increased and the materials which can be used for better cooling and various range of temperature. Further, applications of thermoelectric cooling in various areas like electronics cooling, cooling of buildings and thermoelectric refrigerators are described. The study helps to identify various applications of thermoelectric cooling which can be expanded further and also various methods to increase the efficiency of thermoelectric cooling using various methods and materials. Index Terms – Thermoelectric Cooling, Peltier cooling, Applications.
The Effectiveness of Human Resource Management Information System (HRMIS) Application in Managing Human Resource at the Perlis State Secretary Office

Implementation of Human Resource Management Information System (HRMIS) in the public sector has sparked a broad cultural change in which all public servants should be transferred from the working environment manually to an electronic culture. Taking the importance of the study was conducted to assess the effectiveness of the HRMIS in human resource management at the Perlis State Secretary Office (SUK Perlis) in terms of system quality, information quality, user satisfaction and system use. To achieve these objectives, the survey has been conducted on staff in SUK Perlis to obtain information how far the effectiveness of the HRMIS through quantitative and qualitative survey methods. A total of 46 respondents have provided feedback regarding the study, and were analyzed using SPSS v15 for Windows version and further descriptive information to confirm the hypotheses that have been identified. Results from this study can also be essential to the effectiveness of HRMIS in the management of human resources at the SUK Perlis. Overall, all officers and employees of Perlis State Secretariat gave good feedback and are satisfied with the quality of HRMIS systems as well, the quality of information, the system use then will get user satisfaction. Based on this study, a few suggestion and recommendation had been proposed to improve the HRMIS performance. One of the suggestion is to upgrade the HRMIS main server which are located in Public Service Department (PSD), Putrajaya to increase the capabilities of the server for support more user‟s around the country. Second suggestion is, PSD can develop a distributed data centre divided by zoning. For example, for Perlis, Kedah, Penang and Perak, PSD can provide one distributed data centre somewhere in north religion. The information in the HRMIS can be shared by the public as a main directory of public service. The possible information that can be shared are, name‟s of the user, job position and the department. There is suggestion to improve the interface for enhance the efficient and reliable applications.
Alive Human Detection Robot

In this paper, a new approach for detecting alive human beings in natural and man-made disasters using a specific set of sensors, ATMEGA16 Microcontroller, existing GSM technology and PLC systems. Many areas of world are getting affected due to sudden natural calamities like earthquakes, floods, wild-fires, storms and human induced disasters industrial and transportation accidents and one of the threatening to humans that is terrorists‟ attacks. We observe that people die by getting trapped in these drastic disasters on a large scale just because they don’t get help at that instant of time, when they require to be rescued. So the proposed alive human being detection system uses a specific set of sensors that includes PIR, temperature, vibration, IR, Ultra sonic detector, etc. which gives the information about the presence of an alive human body. GSM technology will give an alerting message to control room of the affected sites‟ to give proper rescue to the affected victims through PLC logical programming. Also we are using HMI system. Therein, a microcontroller ATMEGA16 holds all of these sensors dealing with movable robot systems. By this project, it will be a great help indeed to rescuers in detecting the m alive humans at the disaster sites on required time. This is also user friendly, economical, semi-autonomous and efficient device by software programming interfacing for detection.
Empirical Modeling of a Rolling- Piston Compressor Heat Pump for Predictive Control in Low Lift Cooling

Measured performance and empirical modeling of an inverter-driven variable capacity heat pump are developed for use in a predictive control algorithm to achieve energy-efficient low-lift heat pump operation. A 0.75 refrigeration ton heat pump with rolling-piston compressor was tested at 131 steady-state operating conditions spanning pressure ratios from 1.2 to 4.8. Compressor speed, condenser fan speed, condenser air inlet temperature and evaporator air inlet temperature were varied to map the performance of the heat pump over a broad range of conditions including very low compressor speeds and pressure ratios. Empirical, regression-based curve-fit models of the heat pump power consumption, cooling capacity, and coefficient of performance were identified that accurately represent heat pump performance over the full range of test conditions. This model can be incorporated into model-based predictive chiller control algorithms where compressor speed, condenser fan speed and evaporator fan (or chilled water pump) speed can be varied in an optimal way to achieve significant annual cooling system energy savings.
USING DUPLICATE REDUCTION TECHNIQUE FOR ANALYSIS, EVALUATION AND IMPROVEMENT OF GRAPH MINING ALGORITHMS.

: At the center of graph mining lies free extension of bases where a base or subgraph autonomously develops into various bigger bases in every cycle. Such a free development, perpetually, prompts the age of copies. Within the sight of chart segments, copies are created both inside and across allotments. Wiping out these copies brings about age and capacity cost as well as extra calculation for its end. Essential point is to plan methods to decrease creating copy foundations as we show that they can't be dispensed with. Proposed philosophy presents three requirement based enhancement strategies, each essentially improving the general mining cost by diminishing the quantity of copies produced. These options give adaptability to pick the correct procedure dependent on chart properties. Proposed philosophy tests show noteworthy advantages of these imperatives regarding capacity, calculation, and correspondence cost (explicit to divided methodologies) across graphs with differed qualities.
Governance Mechanisms and Results Management: What Relationship in the Cameroonian Context?

This article investigates the impact of governance mechanisms on the management of accounting results. We examine both the influence of board characteristics (the size of the Board of Directors, the dual-rule of the Chief Executive Officer, and the presence of an audit committee) and the ownership structure (capital concentration and nature of shareholders) on the management of the accounting results measure by the appreciation of expenses, selling of asset and the reevaluation of assets. From the association and regression tests on the data collected by a questionnaire on a sample of 41 companies in Cameroon, the statistical analyzes confirm one of our hypotheses by indicating a significant relationship between the management of result and state ownership.
Robust Reinforcement Learning for Shifting Dynamics During Deployment

While high-return policies can be learned on a wide range of systems through reinforcement learning, actual deployment of the resulting policies is often hindered by their sensitivity to future changes in the environment. Adversarial training has shown some promise in producing policies that retain better performance under environment shifts, but existing approaches only consider robustness to speciﬁc kinds of perturbations that must be speciﬁed a priori. As possible changes in future dynamics are typically unknown in practice, we instead seek a policy that is robust to a variety of realistic changes only encountered at test-time. Towards this goal, we propose a new adversarial variant of soft actor-critic, which produces policies on Mujoco continuous control tasks that are simultaneously more robust across various environment shifts, such as changes to friction and body mass.