Miracle-dz/UniFAR-FTUs huggingface dataset:
Creating Narrative Space: New Modes of Navigation for Online Scholarly publications

Navigating online scholarly publications is theorized here as an active journey that readers embark upon and undertake, creating personal meaning through narrative structures that, in turn, make sense of the online data that has been individually explored. The concept of the “eversion” is examined as a useful way of understanding how readers interact with data via networked smart objects, and through different interface designs and mechanisms. The passageways and “border exchanges” between analogue and digital worlds are sites that illuminate how people engage with information seeking and digital sensemaking; coupled with the centrality of the contemporary digital self, the article argues for a humanistic outcome in this focus on human engagement with inverted analogue and digital worlds.
Facial expression classification using Cross Diagonal Neighborhood Pattern

Facial Expression Recognition has significant applications in the field of Affective Computing. FER has its significant contribution in the fields like human computer interaction, neurology, psychiatry, image processing, computer vision, affective computing, and information security. This work gives unique and robust FER System by extracting unique and robust face features. This work proposes Cross Diagonal Neighborhood Patterns (CDNP) for unique feature extraction. The CDNP features are further processed by Gray Level Co-occurrence Matrix (GLCM). The derived CDNP-GLCM features are sent to Convolutional Neural Network (CNN) to train various expressions.
The Impact of Climate Change on Amur Tiger Habitat inRussia: Applying the FAREAST Model at the Regional Scale

Characterizing forest structure and composition at the landscape scale can assist in understanding the impact of global phenomena such as climate change on complex ecosystems. In this study, remote sensing data and output from a computer forest succession gap model are compared with field results in a vast and biologically diverse area in Far Eastern Russia. Projected climate change is applied within the model to determine the effect on the trophic network of the endangered Amur, or Siberian, tiger. The forest succession gap model FAREAST has been validated at 31 sites in Far Eastern Russia, where simulated results matched forest inventory data at 23 sites in terms of the four dominant tree genera by biomass. FAREAST produces old growth forests using inputs of temperature, precipitation, site quality and species characteristics. To calibrate and explore the model’s capabilities, output at 1,000 randomly selected points was compared with land covers developed from a synthesis of the Moderate Resolution Imaging Spectrometer (MODIS) land cover product, the Global Land Cover 2000 (GLC 2000) map, and a Russian forest map. Comparing remotely sensed with modeled land covers suggested that disturbance occurred at 461 of the 608 points (76%) where forest types differed.
A design of 16-bit adiabatic Microprocessor core

A 16-bit adiabatic low-power Micro- processor core is designed. The processor consists of control block, multi-port register file and ALU. A simplified four-phase clock generator is designed to provide supply clocks for adiabatic processor. All the clock line charge on the capacitive interconnections is recovered to recycle the energy. Adiabatic circuits are designed based on ECRL(efficient charge recovery logic) and 0.35㎛ CMOS technology is used. Simulation results show that the power consumption of the adiabatic Microprocessor core is reduced by a factor of 2.9~3.1 compared to that of conventional CMOS Microprocessor
Validation of Writing Scales for Turkish as a Second Language through Many-Facet Rasch Measurement

Rating scales and the extent to which raters use them effectively are two important factors that influence scoring validity of language tests when open-ended writing tasks are concerned. Research regarding rating scale development and validation in the assessment of English is ample; however, there has been no research on scale validation in the assessment of Turkish as a Second Language (TSL) to this date. This study reports on the development of two analytical rating scales used to assess academic writing skills of test takers in TSL, and presents quantitative evidence on the rating scale validation. For this purpose, texts written by 39 TSL students were scored by three raters. The analyses were conducted using Many-facet Rasch Measurement. Results indicate that empirically-developed analytical rating scales were used consistently and appropriately by the raters providing evidence for the reliability and effectiveness of the rating scales.
Evaluating and Organizing Thinking Tools in Relationship to the CPS Framework

Evaluating and Organizing Thinking Tools in Relationship to the CPS Framework This project surveyed, analyzed and organized thinking tools drawn from several areas of theory and practice within the new proposed framework for Creative Problem Solving (CPS). The tools were drawn from a diverse set of literature and organized in accordance with the new skillbased version of CPS. The literature review focused on Total Quality Management (TQM), Strategic Management, Problem Solving, Decision Making, and Creativity Processes and Methods, other than CPS. Forty-four thinking tools, other than the ‘classic’ CPS tools, were collected, analyzed, described and categorized within the seven steps of the new CPS framework, according to the main categories of divergent and convergent thinking. Implications for future studies suggested the opportunity to widen the search for more thinking tools, by achieving a higher balance between divergent and convergent tools within each step of the CPS framework, as well as the need to apply these thinking tools within the facilitation of the CPS process.
An Overview on R Packages for Seasonal Analysis of Time Series

Time series analysis consists of approaches for analysing time series data so thatimportant information and other features can be isolated from the data. Time series forecasting is the use of a model to predict perspective values on the basis of previouly observed values by a model. Statisticians generally use R project or R language, a free and popular programming language and computer software environment for statistical computing and graphics, for developing statistical computer software and data analysis. Plenty of time series display cyclic variation significant as seasonality, periodic variation, or periodic fluctuations in statistics. This study introducesabundant functions in the R packages TSA, marls, depersonalize and season for analyzing seasonal processes of time series, are introduced in this study. Note that R packages marls, depersonalize and season are included in the comprehensive R archive network task view TimeSeries.
Exact Solutions to Time-Fractional Fifth Order KdV Equation by Trial Equation Method Based on Symmetry

We study a fifth order time-fractional KdV equation (FKdV) under meaning of the conformal fractional derivative. By trial equation method based on symmetry, we construct the abundant exact traveling wave solutions to the FKdV equation. These solutions show rich evolution patterns including solitons, rational singular solutions, periodic and double periodic solutions and so forth. In particular, under the concrete parameters, we give the representations of all these solutions.
Event and conference management system based on near field communication

The meeting and conference industry is very varied, and conference designers strive to optimise the resources used during an event or conference. During several years of working in the conference and meeting industry the author found that some tasks associated with meetings and conferences are still handled manually. It was from the experience of these sometimes labour-intensive tasks that the idea sprung to introduce computer support. This thesis describes the development of a prototype in a mobile environment using Near Field Communication (NFC) as an identification token for an attendee at a conference or meeting. The conference centre where the conference and meeting scenario incorporated in the developed prototype is gathered from the author’s current place of work. As the prototype is developed as proof-of-concept it is not complete and needs to be developed further in order to be of use for a conference designer. The gain in reduced work can in some cases be quite intuitive, and in some other cases needs to be analysed. During the development of the prototype the author gained new knowledge in how mobile operating systems (OS) can differ compared to developing for OS aimed for stationary computers. One key difference was that the OS could at any time close or pause the application in order to free or save resources, such as memory or power, this behaviour needs to be managed and taken into consideration when developing for mobile OS. The author also learned how to use NFC and develop applications using NFC with an attendee-driven approach, which is important as the meeting industry strives to reduce the use of resources by making it more attendee-driven. The main idea behind the attendee-driven approach is to shift the tasks that are normally handled by the arranger of the conference, over to the conference attendee, e.g, the conference attendee books his or her lecture online, reducing the need of staff at a reservation call center.
Anti-lock braking control using a sliding mode like approach

The paper starts with a brief history of the design of anti-lock brakes (ABS). The advantages of ABS are explained. For the analysis and controller design a nonlinear longitudinal car model is derived. It is shown that the dynamics can be separated conveniently into two different linear dynamics dependent on the tyre slip. The analysis of the dynamics show the highest possible braking performance. It is further shown that a continuous feedback law cannot not achieve the maximum braking performance. To achieve the maximum braking performance a sliding mode like controller design approach is suggested. The merits of this controller are shown in an example.
A Method of Teaching the Underlying Theory of XBRL: An Application of Information Modeling and XML Programming

In this paper, we describe a computer lab exercise that will help students understand the underlying theory of XBRL. The lab requires students to build the taxonomy of accounts from a trial balance, create a well structured XML compliant document, load the XML document into Microsoft Excel, and produce a set of financial statements. The exercise follows the system development life cycle, is user friendly, and is very easy to understand. Bloom’s taxonomy of thinking skills was used to structure the learning objectives. At two hours in length, the exercise has been used in an AIS class and was received very well by the students. By the end of the lab, students should understand the concept of information modeling, markup technologies, and how they can be applied to accounting.
Burn out and Occupational Stress Amoung Speical Educators Working for Children with Hearning, Visual and Intellectual Disability: A Comparative Study

Background:Special educators apart from administrative jobs are required to prepare specifically tailored training programmes to cater to the individualized needs and problems of children with disabilities. These needs may be educational, recreational, emotional, social and physical. While doing so they may experience stress and burnout. Objective: This paper outlines the level of occupational stress and burn out amongst the special educators in the school for children with intellectual disability and school for children with hearing and visual disability. Sample:Atotal of 47 special educators from both schools for children with intellectual disability and hearing and visual disability were taken up as a sample for this study. Design:This is a descriptive study in which comparative design has been used. Tool:Maslach Burnout Inventory developed by Maslach and Jackson (1981) was used to assess burnout and the Occupational Stress Index developed by Srivastava and Singh, (1981) was used to measures the extent of stress which employees perceive, arising from various conditions of their job. Results: The data was analysed using both descriptive (mean and SD) and in herency methods (t- test). The results showed that there were significant differences in the occupational stress and burn out among the teachers of both schools. Conclusion: Occupational stress and burn out was found to be significantly higher among the special educators of school for children with intellectual disability as compared to the ones in school for children with hearing and visual disability. Keywords: Burn Out, Occupational Stress, Special Educators
A limiting Current Oxygen Sensor Constituted of (CeO2)0.95(Y2O3)0.05 as Solid Electrolyte Layer and (CeO2)0.75(ZrO2)0.25 as Dense Diffusion Barrier Layer

Using the co-precipitation method to synthesize (CeO2)0.95(Y2O3)0.05 (YDC) and solid reaction method to synthesize (CeO2)0.75(ZrO2)0.25 (ZDC), and the crystal structure, micro-structure, total conductivity and electronic conductivity of the two materials was measured with X-ray diffraction (XRD), scanning electron microscope (SEM), DC van der Pauw and Hebb-Wagner methods. A limiting current oxygen sensor was prepared with YDC solid electrolyte and a ZDC dense diffusion barrier layer by employing platinum pasting bonding. Sensing characteristics of the sensor were obtained at different conditions, including temperature (T), oxygen concentration (x(O2)) and water vapor pressure (p(H2O)), and the influence of various conditions on sensing performance was studied. The long-term stability of the sensor was measured in an oxygen concentration of 1.2% and at a temperature of 800 °C for 120 h. XRD results show that the phase structure of both YDC and ZDC belongs to the cubic phase. SEM results show that both YDC and ZDC layers are dense layers, which are then qualified to be the composition materials of the sensor. The limiting current (IL) of the sensor is obtained and the sensor exhibits good sensing characteristics to satisfy the Knudsen model. Log(IL·T) depends linearly on 1000/T with a squared correlation coefficient (R2) of 0.9904; IL depends linearly on x(O2) with an R2 of 0.9726; and sensing characteristics are not affected by p(H2O). It was found that the oxygen sensor has good long-term stability.
Robot planning and control via potential functions

There mingle in the contemporary field of robotics a great many disparate currents of thought from a large variety of disciplines. Nevertheless, a largely unspoken understanding seems to prevail in the field to the effect that certain topics are conceptually distinct. In general, methods of task planning are held to be unrelated to methods of control. The former belong to the realm of geometry and logic whereas the latter inhabit the earthier domain of engineering analysis; geometry is usually associated with off-line computation whereas everyone knows that control must be accomplished in real-time; the one is a “high level” activity whereas the other is at a “low level”. This article concerns one circle of ideas that, in contrast, intrinsically binds action and intention together in the description of the robot’s task. From the perspective of task planning, this point of view seeks to represent abstract goals via a geometric formalism which is guaranteed to furnish a correct control law as well. From the perspective of control theory, the methodology substitutes reference dynamical systems for reference trajectories. From the point of view of computation, less is required off-line, while more is demanded of the real-time controller. From the historical perspective, these techniques represent the effort of engineers to avail themselves of natural physical phenomena in the synthesis of unnatural machines. For more information: Kod*Lab Disciplines Electrical and Computer Engineering | Engineering | Systems Engineering Comments Copyright Massachusetts Institute of Technology. Reprinted from The Robotics Review, Part 1, 1989, pages 349-367. NOTE: At the time of publication, author Daniel Koditschek was affiliated with Yale University. Currently, he is a faculty member in the Department of Electrical and Systems Engineering at the University of Pennsylvania. This journal article is available at ScholarlyCommons: http://repository.upenn. edu/ese_papers/673
Dictionaries for language processing. Readability and organization of information

What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirements: readability of information and general architecture, and we focus on the human tasks involving NLP dictionaries: construction, update, check, correction. We exemplify our points with real cases from projects of morpho-syntactic or syntactic-semantic dictionaries.
A Scalable Wi-Fi Based Localization Algorithm

This paper proposes an applicable and scalable approach which allows deploying the fingerprint Wi-Fi localization algorithm for different mobile devices. The original fingerprint localization algorithm performs accurately when the mobile device used in the deployment phase is the same as the mobile device used in the training phase. However, when a different mobile device is used in the deployment phase, a time-consuming re-training step (in the order of hours or days) is required to achieve the equivalent degree of accuracy. Our proposed approach replaces this re-training step by a short period of calibration (in the order of a few minutes), which can be done transparently to the user. To validate our approach, we did an analysis on collected data from a large scale experiment (14 laptops and 2 smartphones with 224-hour of collected data) and evaluated the performance on the real devices.
Practical causal analysis for the treatment timing effect on doubly censored duration: effect of fertility on work span

We present a practical causal framework to estimate the effects of a treatment and its timing on a doubly censored response. We then apply the methodology to find the effect of fertility on work duration where, not just fertility itself, but the timing of fertility should matter greatly. Since fertility and its decision of timing are chosen by the individual, it is likely to be endogenous. We use a populationwide data set over mothers with two children to address the endogeneity issue by using the first two children's same‐sex instrument in a ‘control function’ setting. We find that having a third child reduces the average labour market work duration, and that the magnitude of the effect increases monotonically with the waiting time between the second and third children. Moreover, the negative effect varies substantially over education and second‐birth age, being stronger for mothers with higher education and lower second‐birth age.
SRTM DEM enhancement using a single set of PolSAR data based on the polarimetry-clinometry model

ABSTRACT The freely available global and near-global digital elevation models (DEMs) have shown great potential for various remote sensing applications. The Shuttle Radar Topography Mission (SRTM) data sets provide the near-global DEM of the Earth’s surface obtained using the interferometry synthetic aperture radar (InSAR). Although free accessibility and generality are the advantages of these data sets, many applications require more detailed and accurate DEMs. In this paper, we proposed a modified and advanced polarimetry-clinometry algorithm for improving SRTM topography model which requires only one set of polarimetric synthetic aperture radar (PolSAR) data. The azimuth and range slope components estimation based on polarization orientation angle (POA) shifts and the intensity-based Lambertian model formed the bases of the proposed method. This method initially compensated for the polarimetry topography effect corresponding to SRTM using the DEM-derived POA. In the second step, using a modified algorithm, POA was obtained from the compensated PolSAR data. The POA shifts by the azimuth and range slopes’ variations based on the polarimetric model. In addition to the polarimetric model, a clinometry model based on the Lambertian scattering model related to the terrain slope was employed. Next, two unknown parameters, i.e. azimuth and range slope values, were estimated in a system of equations by two models from the compensated PolSAR data. Azimuth and range slopes of SRTM were enhanced by PolSAR-derived slopes. Finally, a weighted least-square grid adjustment (WLSG) method was proposed to integrate the enhanced slopes’ map and estimate enhanced heights. The National Aeronautics and Space Administration Jet Propulsion Laboratory (NASA JPL) AIRSAR was utilized to illustrate the potential of the proposed method in SRTM enhancement. Also, the InSAR DEM was employed for evaluation experiments. Results showed that the accuracy of SRTM DEM is improved up to 2.91 m in comparison with InSAR DEM.
The Influences of Critical Thinking Ability, Communication Skills, Leadership, and Professionalism on Clinical Practice Ability in Nursing Students

Purpose: The purpose of this study was to identify factors that affect nursing students’ clinical practice ability. Methods: The data were collected from 303 nursing students who had more than 500 hours of experience in clinical practicum at 4 universities in Seoul and the metropolitan area. The instruments consisted of 27 items of critical thinking, 19 items of professionalism, 40 items of self reported leadership, 20 items of communication evaluation tool, and 61 items of nursing practice performance evaluation. Results: For the clinical practicum, most difficult for nursing students were cardiopulmonary resuscitation, fecal enema, stoma care, and blood transfusion. Clinical practice abilities were positively correlated with nursing professionalism(r=.26, p<.001), leadership (r=.16, p=.007) and critical thinking(r=.12, p=.031). Professionalism(β=.32, p=.001) was the most significant factor influencing the clinical practice ability of nursing students. Critical thinking was the second largest factor but not significant(β=.16, p=.058). Conclusion: The findings suggest that the nursing curriculum should include nursing knowledge and nursing skills as well as various case-based or field-based decision making training programs to cultivate professionalism, critical thinking and other abilities for clinical practice.