Miracle-dz/UniFAR-FTUs huggingface dataset:
STEPP: A Grounded Model to Assure the Quality of Instructional Activities in e-Learning Environments

The present theoretical paper aims to develop a grounded model for designing instructional activities appropriate to e-learning and online learning environments. The suggested model is guided by learning principles of cognitivism, constructivism, and connectivism learning principles to help online learners constructing meaningful experiences and moving from knowledge acquisition to knowledge creation process. The proposed model consists of five dynamic and grounded domains that assure the quality of designing and using e-learning activities: O Social Domain; O Technological Domain; O Epistemological Domain; O Psychological domain; and O Pedagogical Domain. Each of these domains needs four types of presences to reflect the design and the application process of e-learning activities. These four presences are: O cognitive presence, O human presence, O psychological presence and O mental presence. Applying the proposed model (STEPP) throughout all online and adaptive e-learning environments may improve the process of designing and developing e-learning activities to be used as mindtools for current and future learners.
Forming limit analysis of Mg-2Zn-1.2Al-0.2Ca-0.2RE alloy sheet using ductile fracture models

This work was aimed to experimentally and theoretically investigate the formability of a new magnesium alloy sheet at room temperature. The fracture forming limit diagram was predicted by MMC3 and DF2014 models, where the non-linear strain path effect was taken into account by means of damage accumulation law. In order to obtain the instantaneous values of the stress triaxiality and the Lode parameter during the deformation process, strains tracked by digital image correlation technique were transformed into stresses based on the constitutive equations. The fracture forming limit diagram predicted by the fracture models was compared with the forming limits obtained by ball punch deformation tests. The prediction errors were evaluated by the accumulative damage values, which verified the advantages of ductile fracture models in predicting the forming limits of the magnesium alloy sheets.
Defining complex rule-based models in space and over time

Computational biology seeks to understand complex spatio-temporal phenomena across multiple levels of structural and functional organisation. However, questions raised in this context are difficult to answer without modelling methodologies that are intuitive and approachable for non-expert users. Stochastic rule-based modelling languages such as Kappa have been the focus of recent attention in developing complex biological models that are nevertheless concise, comprehensible, and easily extensible. We look at further developing Kappa, in terms of how we might define complex models in both the spatial and the temporal axes. In defining complex models in space, we address the assumption that the reaction mixture of a Kappa model is homogeneous and well-mixed. We propose evolutions of the current iteration of Spatial Kappa to streamline the process of defining spatial structures for different modelling purposes. We also verify the existing implementation against established results in diffusion and narrow escape, thus laying the foundations for querying a wider range of spatial systems with greater confidence in the accuracy of the results. In defining complex models over time, we draw attention to how non-modelling specialists might define, verify, and analyse rules throughout a rigorous model development process. We propose structured visual methodologies for developing and maintaining knowledge base data structures, incorporating the information needed to construct a Kappa rule-based model. We further extend these methodologies to deal with biological systems defined by the activity of synthetic genetic parts, with the hope of providing tractable operations that allow multiple users to contribute to their development over time according to their area of expertise. Throughout the thesis we pursue the aim of bridging the divide between information sources such as literature and bioinformatics databases and the abstracting decisions inherent in a model. We consider methodologies for automating the construction of spatial models, providing traceable links from source to model element, and updating a model via an iterative and collaborative development process. By providing frameworks for modellers from multiple domains of expertise to work with the language, we reduce the entry barrier and open the field to further questions and new research.
Resources Siswa SMA tentang Konsep Gaya Archimedes

Artikel ini bertujuan untuk mengungkap resouces yang diaktivasi siswa ketika menjawab soal terkait gaya apung. Penelitian ini menggunakan metode survei dengan instrumen tes 20 soal pilihan ganda beralasan pada topik fluida statis dan didukung dengan wawancara. Namun dalam artikel ini dibahas 1 soal terkait gaya Archimedes. Penelitian dilakukan pada 39 siswa kelas XI SMAN 5 Jambi. Hasil yang diperoleh menunjukkan ide naive terkait gaya apung. Ide tersebut berasal dari resource berupa “benda akan bergerak naik jika gaya ke atas lebih besar”. Kata kunci: Resources, gaya Archimedes This article aims to reveal students-activated resouces when they are solving the buoyancy force questions. This study used survey method with 20 MCQs reasoned on static fluid and supported by interviews. But in this article discussed a question related to buoyancy force. The study was conducted on 39 students of grade XI SMAN 5 Jambi. The results obtained show the naive-related idea of buoyancy force. The idea comes from a resource in the form of " the object will move up if the upward force is bigger than downward force". Keywords: Resources, buoyancy force
Simultaneous stabilization of a collection of uncertain discrete-time systems with time-varying state-delay via discrete-time sliding mode control

This paper considers the simultaneous stabilization problem which concerns finding a single controller to simultaneously stabilize a finite collection of discrete-time nonlinear systems with time-varying state delay and norm-bounded uncertainties. For this purpose, a simultaneously stabilizing discrete-time sliding mode controller (DT-SMC) is synthesized. Based on the delay-dependent Lyapunov–Krasovskii functional method, sufficient conditions are derived which guarantee the existence of a common sliding surface in terms of a nonconvex feasibility problem. The cone complementarity linearization approach is exploited to transform the nonconvex conditions into a convex optimization problem. Finally, the robust simultaneously stabilizing DT-SMC is designed in order to draw the closed-loop trajectories of each system onto the common sliding surface in finite time and to maintain it thereafter. The effectiveness of the proposed method is investigated by simulation of a practical example.
Power calculation for cross‐sectional stepped wedge cluster randomized trials with variable cluster sizes

Standard sample size calculation formulas for stepped wedge cluster randomized trials (SW‐CRTs) assume that cluster sizes are equal. When cluster sizes vary substantially, ignoring this variation may lead to an under‐powered study. We investigate the relative efficiency of a SW‐CRT with varying cluster sizes to equal cluster sizes, and derive variance estimators for the intervention effect that account for this variation under a mixed effects model—a commonly used approach for analyzing data from cluster randomized trials. When cluster sizes vary, the power of a SW‐CRT depends on the order in which clusters receive the intervention, which is determined through randomization. We first derive a variance formula that corresponds to any particular realization of the randomized sequence and propose efficient algorithms to identify upper and lower bounds of the power. We then obtain an “expected” power based on a first‐order approximation to the variance formula, where the expectation is taken with respect to all possible randomization sequences. Finally, we provide a variance formula for more general settings where only the cluster size arithmetic mean and coefficient of variation, instead of exact cluster sizes, are known in the design stage. We evaluate our methods through simulations and illustrate that the average power of a SW‐CRT decreases as the variation in cluster sizes increases, and the impact is largest when the number of clusters is small.
Loss of Significance and Its Effect on Point Normal Orientation and Cloud Registration

Point normal calculation and cloud registration are two of the most common operations in point cloud processing. However, both are vulnerable to issues of numerical precision and loss of significance. This paper documents how loss of significance in the open-source Point Cloud Library can create erroneous point normals and cause cloud registration to fail. Several test clouds are used to demonstrate how the loss of significance is caused by tight point spacing and clouds being shifted far from the origin of their coordinate system. The results show that extreme loss of significance can cause point normals to be calculated with a random orientation, and cause meters of error during cloud registration. Depending on the structure of the point cloud, loss of significance can occur when the cloud is at hundreds or even tens of meters from the origin of its coordinate system. Shifting to larger data types (e.g., from 32-bit “floats” to 64-bit “doubles”) can alleviate the problem but will not solve it completely. Several “best practice” recommendations for avoiding this issue are proposed. But the only solution guaranteed to eliminate loss of significance is de-meaning the entire cloud, or clusters of points before processing.
Order of instruction effects - do they make a difference when teaching senior chemistry with computer based visualizations?

This study investigated whether conceptual development is greater if students learning senior chemistry hear teacher explanations and other traditional teaching approaches first then see computer based visualizations or vice versa. Five Canadian chemistry classes, taught by three different teachers, studied the topics of Le Chatelier’s Principle and dynamic chemical equilibria using scientific visualizations with the explanation and visualizations in different orders. Conceptual development was measured using a 12 item test based on the Chemistry Concepts Inventory. Data was obtained about the students’ abilities, learning styles (auditory, visual or kinesthetic) and sex, and the relationships between these factors and conceptual development due to the teaching sequences were investigated. It was found that teaching sequence is not important in terms of students’ conceptual learning gains, across the whole cohort or for any of the three subgroups.
A Use of Space: The Unintended Messages of Academic Library Web Sites

Academic library home pages are not only access points to the resources and services of a library, they are virtual representations of the library itself. The content placed on the page, where it is placed, and the amount of space allotted are all choices that send a message about the character of the library, the resources a user should start with, and the library's attitude toward its users. This study explores the messages being sent by the content selection and design of the home pages of 49 of the 50 largest academic libraries in the United States. By looking at the area allocated to different content types and the number and location of different content types, the researchers discovered that design elements and promotion/public relations receive a large amount of page space. The researchers also identified the prominently positioned multi-search box as the apparent de facto standard access point to library resources. Many sites are clearly designed to direct users to specific, presumably important resources. Other sites are more obscure in their site structure and design, increasing the options and visual clutter for users without providing much guidance.
Lyman Alpha Emission from Low-Redshift Star-Forming Galaxies as a Probe for Lyman Continuum Escape

The goal of this thesis is to analyze far-ultraviolet spectra from nearby star-forming galaxies and investigate how the hydrogen Lyman alpha (Lyα) line at 1216 Å is related to the host’s environmental parameters that determine Lyman continuum (LyC) escape. It has been suggested that Lyα can be used as a proxy for the escape of LyC radiation from UV-bright regions of nearby galaxies. LyC is of particular interest with respect to reionization of neutral atomic hydrogen in the universe over a redshift range from z ∼ 6 to z ∼ 12, which was highly dependent on the flux of ionizing LyC photons in the intergalactic medium. Expanding our understanding of the dynamics of the Lyα escape fraction (fLyα) from the local neutral hydrogen environment around star formation could be key to guiding searches for measurement of a total LyC escape fraction (fLyC) across all morphologies of galaxies. We will describe multiple Lyα projects to do this, including a Hubble Space Telescope (HST) observation program with the Cosmic Origins Spectrograph (COS) in Cycle 22 to complete a far-UV survey of nearby star-forming galaxies as an analog to early galaxies driving reionization, as well as a launch of an ultraviolet spectrograph built by the Johns Hopkins sounding
Multi-temporal Analysis of RapidEye Data to Detect Natural Vegetation Phenology During Two Growing Seasons in the Northern Negev, Israel

of these ecosystems. Phenology has proven to be a very suitable tool for this because it comprises “the study of the timing of recurring biological events, the causes of their timing with regard to biotic and abiotic forces, and the interrelation among phases of the same or different species” (Lieth 1974). Due to the spatial coverage as well as financial and time related savings, remote sensing techniques proved to be very suitable for these kinds of analyses. For example until now especially dense
Effects of problem-based learning approach to students’ visual presentation and writing tendencies

Bu calismanin amaci, probleme dayali ogrenme yaklasiminin ilkogretim besinci sinif ogrencilerinin gorsel sunu uygulamalarina ve yazma egilimine etkisini arastirmaktir. Bu amacla arastirma deneme modellerinden tek grup on test-son test modeli ile kurgulanmistir. Arastirmanin calisma grubunu Ozel Bahcesehir Ilkogretim Okulu’nda ogrenim goren toplam 60 ogrenci olusturmaktadir. Calisma sosyal bilgiler dersi “Bolgemizi Taniyalim” unitesi kapsaminda once on testler, alti haftalik problem dayali ogrenme yaklasiminin hemen bitiminde son test uygulamalari gerceklestirilmistir. Verilerin toplanmasinda Kadioglu (2007) tarafindan gecerlik ve guvenirlik analizleri yapilmis olan “Gorsel Sunu Tutum Olcegi” kullanilmistir. Yazma egilimlerinin belirlenmesi amaciyla ise Piazza ve Siebert (2008) tarafindan gelistirilmis, Iseri ve Unal (2010) tarafindan Turkceye uyarlamasi yapilarak gecerlik ve guvenirligi ortaya konmus olan “Yazma Egilimi Olcegi” (Writing Disposition Scale)’nden yararlanilmistir. Verilerin analizinde bagimli grup t testi teknigi kullanilmistir. Sonucta, sosyal bilgiler dersinde probleme dayali ogrenmenin uygulanmasi ile gorsel sunu becerisi ve yazma egilimi ontest-sontest puanlari arasinda anlamli bir farklilik bulunmustur.
REFINING THE ONSET TIMING AND SLIP HISTORY ALONG THE NORTHERN PART OF THE TETON FAULT

OF THESIS REFINING THE ONSET TIMING AND SLIP HISTORY ALONG THE NORTHERN PART OF THE TETON FAULT A new apatite (U-Th)/He (AHe) dataset from subvertical transects collected in the Teton and Gallatin Ranges in the Teton-Yellowstone region provides insight for the slip history and length of the Teton fault. Along the northernmost segment of the Teton fault, inverse thermal history modeling of AHe data from Eagles Rest Peak yield a ~9 Ma age for onset of fault slip. This age supports previous interpretations that Mount Moran may be the true center of the Teton fault. This refined interpretation coupled with lengthdisplacement fault scaling analysis and previous estimates of total fault displacement (~6 km) indicates that the Teton fault may extend 50-90 km north of Mount Moran. However, this new data precludes the possibility that the Teton and East Gallatin faults represent the same structure. Yet, because these systems share a similar structure trend and initial slip ages (13 Ma and 16 Ma, respectively), they may still be related at a larger scale. To the south, the Teewinot transect yields the oldest onset age of ~32 Ma, however a >500 m vertical data gap in this transect leads us to cautiously interpret the results of this model, particularly as this age conflicts with four other transects along-strike.
Deconstructing the Yield Curve

We investigate the factor structure of the term structure of interest rates and argue that characterizing the minimal dimension of the data generating process is more challenging than currently appreciated. As a result, inference procedures for yield curve models that commit to a parsimoniously parameterized factor structure may be omitting important information about the underlying true factor space. To circumvent these difficulties, we introduce a novel nonparametric bootstrap that is robust to general forms of time and cross-sectional dependence and conditional heteroskedasticity of unknown form. We show that our bootstrap procedure is asymptotically valid and exhibits excellent finite-sample properties in simulations. We demonstrate the applicability of our results in two empirical exercises: first, we show that measures of equity market tail risk and the state of the macroeconomy predict bond returns beyond the level or slope of the yield curve; second, we provide a bootstrap-based bias correction and confidence intervals for the probability of recession based on the shape of the yield curve. Our results apply more generally to all assets with a finite maturity structure.
Predictive Modeling of Surface Roughness in MQL assisted Turning of SiC-Al Alloy Composites using Artificial Neural Network and Adaptive Neuro Fuzzy Inference System

This research work deals with the analysis of surface roughness in turning SiC-Al Alloy composite through experimental investigation and predictive model formulation using Artificial neural network (ANN) and Adaptive neuro fuzzy inference system (ANFIS). The experiment has been carried out in MQL cutting condition where cutting speed, feed rate and depth of cut have been considered as input parameters to check the desired surface roughness response. Artificial neural network model with four different learning algorithms was used to predict surface roughness. Best performance was attained by 3-6-1 network structure with LM learning algorithm for training dataset and SCG learning algorithm for testing dataset. Higher correlation coefficient value of 0.99932 and 0.99888 prove the adequacy of the predicted ANN model. However, MAPE for ANN predicted value is 5.298 %. ANFIS model has been designed utilizing Gaussian membership function (Gaussmf) with 3 membership function for every input parameter and linear membership function for output parameter. For training both back propagation and hybrid method, 3 membership function were used. Based on the comparison of ANFIS with three types of membership function parameter training, hybrid method provides accurate results as it portrays MAPE value of 0.113542 when compared to the higher MAPE value of back propagation method. Surface viewer plot also suggested the effectiveness of hybrid model as it generates lower value of surface roughness. On the basis of mean absolute percentage error, it can be further concluded that hybrid method can make an impartially accurate prediction of surface roughness in comparison to back propagation method and artificial neural network which does prove the expediency of proposed hybrid model to reduce the surface roughness considerably.
Attachment Style and alexithymia as predictors of nonsuicidal self-injury in young adults: A pilot study

Pathways from childhood trauma to non-suicidal self-injury (NSSI) include those high-lighting emotional regulation and attachment, which have been supported by research in-vestigating the functions of NSSI. This pilot study sought to explore this further into this by examining which specific dimensions of attachment style and alexithymia predict self-injurious behaviour. Twenty-six young adults [mean (± SD) age 21.08 (± 3.95)], with ex-perience of NSSI were compared to a matched control group. The Toronto Alexithymia Scale and the Attachment Style Interview (ASI) were used. Findings revealed significantly greater levels of alexithymia, particularly the “difficulty identifying feelings” factor, in those with NSSI compared to the control group, as well as higher rates of insecure attach-ment style, particularly fearful insecure style. Examination of specific dimensions revealed ASI scales of “constraints on closeness” and “fear of rejection” providing the best model of NSSI. These findings provide empirical support for the affect regulatory function of self-injury, but also highlight the importance of the interpersonal boundaries function, which may provide a useful focus for treatment or intervention.
GEOMECHANICAL ANALYSIS OF SEDIMENTARY LAYERING AS A STRUCTURAL CONTROL ON FAULT PROPAGATION

Deformation associated with normal fault propagation and displacement places controls on the distribution and flow of sub-surface fluids. With a better understanding of how sedimentary units deform in response to a propagating fault, scientists can better predict how fluids might flow through the system at different stages of displacement. Though previous researchers have acknowledged the effects of sedimentary layering as barriers to fault propagation (e.g. Cooke and Pollard, 1997; Cooke et al., 2001; Peacock, 2002; Hayano and Ishii, 2016), previous research has failed to produce a systematic, quantitative analysis of the role of mechanical layering on fault tip propagation. Therefore, building upon previous geomechanical modeling techniques (Smart et al., 2004, 2009, 2010b, 2010a, 2012; Doff, 2015; Sattari and Eaton, 2015), I use ABAQUS/ Standard finite element modeling software (by Dassault Systemes, 2018) to create an experimental finite element model that permits me to analyze the influence of stratigraphic layering upon stress and strain ahead of a fault tip.
An Investigation of Self-Regulatory Mechanisms in Learning to Program Visual Basic

Today, information technology (IT) has permeated virtually every aspect of our society and the learning of software programming is becoming increasingly important to the creation and maintenance of the IT infrastructure critical to our daily life. In this article, we report the results of a study that demonstrates how the self-regulation paradigm may contribute to research learning in programming. A laboratory study of college students learning to program Visual Basic is conducted in this pursuit. Our study shows that both goal setting and self-efficacy in learning to program serve to positively influence the learning performance anticipatorily while self-satisfaction serves as a feedback for learners to evaluate their performance. A high level of goal commitment and self-efficacy in learning to program leads to successful learning, which in turn generates a high-level of satisfaction that further heightens students' sense of commitment to learning. Conversely, when students lack self-efficacy and goal commitment, their learning dwindles and becomes unsatisfied.
Statistical approximation properties of λ-Bernstein operators based on q-integers

Abstract In this paper, we introduce a new generalization of λ-Bernstein operators based on q-integers, we obtain the moments and central moments of these operators, establish a statistical approximation theorem and give an example to show the convergence of these operators to f(x). It can be seen that in some cases the absolute error bounds are smaller than the case of classical q-Bernstein operators to f(x).