Miracle-dz/UniFAR-FTUs huggingface dataset:
Facebook short response: The 10/90 model and comment and-reply strategy

This paper presents an action research project designed to explore how a Facebook group wall discussion is integrated as the flexible learning activity (FLA) in an undergraduate teacher education program literature course. It describes the nature, patterns and nuances of the short responses and how teacher-student and student-student interactions in the online course enrichment activities are formed. Data was gathered through content analyses of comments and replies including an online forum. Although action research is limited by its generalizability and focus, the study yields innovative and interactive ways of keeping students to be academically and emotionally engaged through the consistently prevailing 10/90 model ratio of teacher and students online content contribution shared respectively. Positive theme generations and active interactions of students are mostly evident. Pedagogical online functions of teacher and student-student connections are recognized to support how the project became a viable platform for idea expression, fun, freedom and flexibility, and thus converting students' regular online social media behaviors into academic works. Considerations for the next cycle via Facebook group or related platforms are also extended. Finally, data-driven results with student stakeholders' inputs justifiably espouse relevant theoretical propositions and pedagogical model or lessons for both teacher-practitioners and academic researchers to try in different setting, in other courses, and/or to investigate further.
A Comparative Performance Evaluation of Islamic and Conventional Mutual Funds in Saudi Arabia

Abstract Purpose The literature on the comparative performance of Islamic and conventional mutual funds provides conflicting results. Some studies find superior performance of Islamic mutual funds (IMF) to conventional mutual funds (CMF) whereas others conclude to the contrary. This study aims to contribute to the debate on the comparative performance of Islamic and conventional mutual funds in Saudi Arabia. Design/methodology/approach This study participates in the ongoing debate by analyzing the performance of IMF and CMF based on risk-adjusted returns measures such as the Sharpe ratio, Treynor ratio, and Jensen’s Alpha. Furthermore, we examine the selectivity and the market timing skills of IMF and CMF using Treynor and Mazuy model. Five-year monthly data from 2013 to 2017 for forty mutual funds located in Saudi Arabia are used for analysis. Findings We find that IMF and CMF have almost similar performance on the basis of Treynor ratio and Jensen’s Alpha. However, results from the Sharpe ratio indicate that Islamic funds perform better than their conventional counterpart. The study also finds that the selectivity and the market timing abilities of both Islamic and conventional mutual funds outperform the market portfolio. Superior selectivity skills of IMF to the CMF and similar timing ability of both types of fund managers is also observed. Practical implications Islamic mutual funds are less risky than conventional mutual funds and they provide better hedging prospects for stockholders in general Originality/value This study aims to contribute to the debate on the comparative performance of Islamic and conventional mutual funds using the latest data and applying the equality of means and the Random effect model, which no other study has used in the context of Saudi Arabia.
High-accuracy consensus algorithm for second-order multi-agent systems

Consensus problem is a hot area of multi-agent cooperative control, and has produced many research results.Design consensus algorithm is the focus of multi-agent problem research.However, for high precision situations, multi-agent cooperative control needs more effective consensus algorithm.Since most of the dynamic models in reality are second-order systems, this paper provides a consensus algorithm of second-order multi-agent system with integral, and compares it with the traditional consensus algorithms. The algorithm has higher response rate and consensus accuracy.In order to illustrate the effectiveness of the proposed algorithm, a set of simulation results is provided.
Spatial aspects of wave overtopping for seadikes

Within the HYDRALAB IV project CornerDike wave overtopping processes and the influence of very oblique waves and a corner in the dike line on wave overtopping have been investigated on a 1:4 sloped, convexly curved dike model. The test program covered angles of wave attack up to 112.5° for long crested waves and short crested waves with directional spreadings of = 12° and = 34°. Results showed that the influence of the corner in the dike line depends for 45° on the angle of wave attack and the wave parameters. Increased overtopping discharges at the corner were observed for high waves (here HS = 0.15 m). Tests with long crested and swell-like ( = 12°) waves showed no significant influence of the corner on wave overtopping for angles of wave attack between 45° and 75°. For > 75° the influence of oblique wave attack and a corner in the dike line depends greatly on the point of interest: higher mean overtopping discharges were found along the adjacent straight dike arms than next to the dike corner. This issue may be ascribed to diffraction and refraction effects. For high angles of wave attack increased wave overtopping was observed for short crested waves with = 34° compared to long crested and swell-like waves due to the directional spread.
Authentication of integrated circuits

The elements of one group are made on the basis of common design. Each element has a plurality of measurable characteristics, which uniquely corresponds with respect to the element in the group, and each element has a measuring device for measuring said measurable characteristic. Authentication for one of the elements of said one group, it is possible by one or selective measurements on more of a plurality of measurement of the device characteristics. Authenticator, identities, smart cards, card readers, switches, circuit
Advanced placement courses with open enrollment: the experiences of students who qualify for free or reduced lunch.

Across the nation every May, students take the exams for their Advanced Placement classes in high school. Some schools require certain grades, an application process, or recommendations in order for a student to be eligible to take these college level courses. Other schools have no requirements in place and employ an open enrollment policy. This case study aimed to answer the following research question: How do students, teachers, and administrators believe students who qualify for free and reduced lunch experience Advanced Placement courses at an open enrollment high school? Students, teachers, and one administrator completed individual interviews with the researcher as participants in this study. Findings revealed that overall students categorized their experiences in these rigorous classes as extremely positive; these students spoke at length about the challenging workload of Advanced Placement helping them to prepare for college. Teachers were not so optimistic, citing poor grades and lack of motivation where free and reduced lunch students were concerned. Administration shed a favorable light on the program, saying that exposure to college level courses is what matters in the long run and that open enrollment allowed all students this excellent opportunity. Overall, it became clear that students and administrators viewed this open enrollment policy as favorable while Advanced Placement teachers believed that there should at least be minimum requirements that students need to meet in order to enroll in these courses.
The development of a dietitian selection scale and a comparison of therapeutic and administrative dietitians

THE DEVELOPMENT OF A DIETITIAN SELECTION SCALE AND A COMPARISON OF THERAPEUTIC AND ADMINISTRATIVE DIETITIANS PATRICIA ANN MILLER HODGES, R.D. , Ed.D. The College of William and Mary in Virginia, 1981 Chairman: Curtis H. O'Shell, Ed.D. The purposes of this research project were to develop a Dietitian Selection Scale (DSS) and to compare the personality profiles of female therapeutic and administrative dietitians. Both purposes were investigated using the California Psychological Inventory (CPI), and the second purpose, the comparison, was also, investigated using the Vocational Preference Inventory (VPI). Holland's (1973) theory of career selection served as the theoretical base for this study. Subjects for this study were 250 female registered dietitians. The control group consisted of 145 female registered dietitians attending a state meeting in Virginia, while 105 were respondents from a randomized mailing to female registered dietitians across the nation. The hypothesis that there would be a significant difference in the response pattern of female registered dietitians and women in general as measured by the empirically developed DSS was accepted. The hypothesis that female therapeutic dietitians would exhibit a significant difference in response pattern from female administrative dietitians as measured by a scale analysis of the VPI was rejected, but one scale on the CPI did differentiate the two groups significantly. The results indicated that female dietitians can be differen­ tiated from women in general by response pattern to specific items on the CPI and that therapeutic dietitians can be differentiated from administrative dietitians on the scale of Dominance on the CPI.
A COMPARISON STUDY FOR INTRUSION DATABASE (KDD99, NSL-KDD) BASED ON SELF ORGANIZATION MAP (SOM) ARTIFICIAL NEURAL NETWORK

Detecting anomalous traffic on the internet has remained an issue of concern for the community of security researchers over the years. The advances in the area of computing performance, in terms of processing power and storage, have fostered their ability to host resource-intensive intelligent algorithms, to detect intrusive activity, in a timely manner. As part of this project, we study and analyse the performance of Self Organization Map (SOM) Artificial Neural Network, when implemented as part of an Intrusion Detection System, to detect anomalies on acknowledge Discovery in Databases KDD 99 and NSL-KDD datasets of internet traffic activity simulation. Results obtained are compared and analysed based on several performance metrics, where the detection rate for KDD 99 dataset is 92.37%, while detection rate for NSL-KDD dataset is 75.49%.
Instrumentation Based Dynamic Android Application Security Protection System

Nowadays, smart phones have converted the people's life style; convenience of the application has a big impact on all aspects of necessities. Considering that applications need to keep sensitive and private data, the trustworthiness of the application becomes a matter of concern to end users, and privacy protection is an urgent need. The current Android permission mechanism has the goal of fast, simple, and easy enforcement, so it designed to be a coarse-grained permission mechanism. In this paper, a fine-grained access control model for Android applications, which makes authorization decisions according to the permission usage behaviour and sensitive data accessed, is proposed. Furthermore, the fine-grained access control model is integrated into actual APPs through a so-called dynamic Android Application Security System (dAASS), which make use of instrumentation technology, static analysis and dynamic analysis technology. dAASS can enhance the security of Android system by fine-grained access control, permission usage tracking and security violation reminding. Performance experiment shows that deploying dAASS on Android applications takes less than 1 minute and secured applications exhibit no noticeable slowdown and Application Not Responding (ANR). dAASS can provide fine-grained real-time protection from malicious Android applications.
Challenges to the development of energy performance measurement : a systems thinking approach

Author Mikko Asikainen Title Challenges to the development of energy performance measurement: A systems thinking approach Subject Corporate Environmental Management Type of work Master’s thesis Time (Month/Year) March/2016 Number of pages 92 Abstract Growing global energy consumption and its consequent hindrance to sustainable development poses one of the greatest challenges of today. Improvement of the end-use energy efficiency is commonly regarded as one of the most basic and significant countermeasures for curbing the rising energy needs. However, it seems that the progress of end-use energy management is currently hindered due to the complexities involved in the measurement and management of energy efficiency. In essence, the lack of appropriate energy performance metrics constitute a gap between the current organizational needs and scientific literature. Furthermore, the current scientific debate has questioned whether energy efficiency, as a current concept, is able to respond to the extant needs in business management. Thus, there exists a demand for a conceptual change that would enable organizations to simultaneously promote sustainable development and reach concrete results from energy management. For this reason, this thesis focuses on the concept of energy performance, which is able to encompass both operational and strategic dimensions of energy management. In order to address the above-mentioned research gap, this thesis explores the barriers that hinder the development of energy performance measurement in the context of industrial companies, government entities, wholesale and retail companies and real estate companies. As the barriers and their interactions seem to constitute a complex problem situation, the research problem is approached from a systems thinking perspective, which enables the holistic examination of the barriers. The chosen approach departs from most previous research, which has typically studied barriers in isolation, neglecting the potential relationships between the barriers. The main achievement of this study is to introduce a model for understanding the interactive nature of the barriers to the development of energy performance measurement. From the perspective of business management, the created model works as a tool for the management of change, as it increases the understanding of the paradoxal problem situation and enables rational discourse to take place. By doing so, the model aims to address the current needs of organizations in developing specific and quantitatively measurable performance indicators for energy.
Statistical Properties of the Excited Binomial States for the Pseudoharmonic Oscillator

In this paper we have studied the binomial states and also the excited binomial states defined in terms of the Fock-basis vectors of the pseudoharmonic oscillator. We have demonstrated that outside of the behavior at the harmonic limit, when the binomial states lead to the coherent states of the one dimensional harmonic oscillator, these states have in fact all the characteristics of the coherent states defined on the complex unit disk. We have calculated the expectation values and the Mandel parameter (as well as their thermal analogue) which give us information on their statistical behavior. All the obtained relations tend, at the harmonic limit, to the corresponding relations for the one dimensional harmonic oscillator.
Consider the robot - Abstraction of bioinspired leg coordination and its application to a hexapod robot under consideration of technical constraints

To emulate the movement agility and adaptiveness of stick insects in technical systems such as piezo actuators (Szufnarowski et al. 2014) or hexapod robots (Schneider, Cruse et al. 2006), a direct adaptation of bioinspired walking controllers like WALKNET has often been suggested. However, stick insects have very specific features such as adhesive foot pads that allow them to cling to the ground. Typically, robots do not possess such features. Besides, robots tend to be bigger and heavier than their biological models, usually possessing a different mass distribution as well. This leads to different mechanical and functional properties that need to be addressed in control. Based on the model of the stick insect *Carausius morosus*, the six-legged robot HECTOR was developed in this work to test and evaluate bioinspired controllers. The robot's geometrical layout corresponds to that of the stick insect, scaled up by a factor of 20. Moreover, like the stick insect, the robot features an inherent compliance in its joints. This compliance facilitates walking in uneven terrain since small irregularities can be compensated passively without controller intervention. However, the robot differs from the biological model, e.g., in terms of its size, mass, and mass distribution. Also, it does not possess any means to cling to the ground and therefore must maintain static stability to avoid tilting. To evaluate the ability of stick insects to maintain static stability, experimental data (published by Theunissen et al. (2014)) was examined. It can be shown that stick insects do not maintain static stability at all times. Still, due to their adhesive foot pads, they do not tumble. Therefore, a direct replication of the biological walking controller would not be suitable for the control of HECTOR. In a next step, the bioinspired walking controller WALKNET (Cruse, Kindermann, et al. 1998) was evaluated regarding its applicability for the control of HECTOR. For this purpose, different parametrizations of WALKNET were tested in a simulation environment. For forward walking, parameter sets were found that achieve a high, although not permanent stability. Thus, for the control of HECTOR, which requires continuous stability, a more abstract adaption of the bioinspired coordination had to be found. Based on the original coordination concepts of WALKNET, new coordination mechanisms were developed that incorporate the technical requirements (static stability, angular joint limits, torque constraints, etc.). The ability of the resulting controller to generate insect-like gaits is demonstrated for different walking scenarios in simulation. Moreover, locomotion that is unlikely for insects such as backwards and sidewards walking is shown to be feasible using the novel control approach. At the end of this work the applicability of the approach for the control of the real robot is proved in experiments on visual collision avoidance and basic climbing ability.
Getting the Word Out, Rain or Shine: The Impact of Message Features and Hazard Context on Message Passing Online

Networked social media provide governmental organizations, such as the National Weather Service (NWS), the opportunity to communicate directly with stakeholders over long periods of time as a form of online engagement. Typologies of engagement include aspects of message content that provide information, contribute to community building, and inspire action and aspects of message microstructural features that facilitate interaction and dialogue, such as directed messages, hashtags, and URLs. Currently, little is known regarding the effect of message strategies on behavioral outcomes, and whether those effects vary under different weather conditions. In this paper we examine how message practices used on Twitter by the NWS are related to message engagement under routine and nonroutine weather conditions. Our analysis employs a census of tweets sent by 12 NWS Weather Forecast Offices in spring 2016 and uses a combination of manual and automated coding to identify engagement content and microstructure features present in each message. We identify factors that increase and decrease message retransmission (retweets) within this corpus under varying threat conditions, using a mixed-effects negative binomial regression model. We find that inclusion of actionable message content, information about historical weather facts, attached visual imagery (such as a map or infograph), and named event hashtags increases message passing during both threat and nonthreat periods. In contrast, messages that include forecast and nowcast content and messages that are sent in reply to other users have a lower passing rate. Findings suggest that common message features do alter message passing, potentially informing message design practices aimed at increasing the reach of messages sent under threat conditions.
Barriers and enablers of women’s academic careers in Pakistan

ABSTRACT This qualitative study explores women academics’ perspectives and experiences working in a Pakistani university regarding their careers and how these progress. This is located in a northern city in the Khyber Pakhtunkhwa province. Rich narrative accounts were sought from ten women academics, combining semi-structured and informant-style interviewing. Their accounts focused on their academic, professional and family lives. Thematic analysis of these revealed a range of experiences pertaining to their academic and career progression and included factors that enabled them to work and others that served as barriers. The former included sustained family support received from parents, siblings and spouses, while the latter included inequality of opportunities in a male-dominated work environment, balancing home and work responsibilities, and lack of workplace facilities. Most of these women found it challenging to maintain balance between their home and workplace responsibilities. Nevertheless, our informants reportedly refused to be overwhelmed by the challenges they faced; instead, they displayed a great deal of resilience and displayed a spirit of defiance, optimism and efficacy to deal with challenges at the workplace and in their homes.
Motion control of a cartesian robot using a dual- core ARM cortex-A9 system-on-chip FPGA

Advanced applications require flexible and efficient hardware with good FESS characteristics. Therefore, we evaluate the ability of an Intel De0_Nano_SoC FPGA board with an embedded dual-core ARM Cortex-A9 Hard Processor System (HPS) in which an Ubuntu OS is run to drive a Cartesian robot. The robot, based on a standard CNC machine, was subjected to structural analysis through Solidworks software, indicating it is suitable to be used. Based on the mechanical structure of the robot the cinematic model was resolved, making possible development of an algorithm of trajectory generation which includes digital image processing, inverse kinematics, a spline and an efficient speed profile generator for stepper motors. The Matlab software was used in order to simulate mathematic models and for developing image processing functions taken later by an implemented Graphical User Interface (GUI) that makes possible a userfriendly interface between human and machine. Finally the results of the robot performance are showed in terms of Precision, Repeatability and Resolution.
Map reduce fuzzy ternary particle swarm optimization for feature selection

Abstract Feature selection is the utmost requirement to deal with high dimensional datasets. In this paper novel fuzzy ternary PSO (FTPSO) method has been proposed. The analysis of proposed algorithm shows that map reduce concept has decreased the processing time of algorithm. Experimental results show the benefits of proposed MRFTPSO.