Miracle-dz/UniFAR-FTUs huggingface dataset:
Drop-Out in MOOCs.

Advances in information and communication technologies have been influenced on the learning-teaching practices that fostered development of new learning environments and implementations. The Massive Open Online Courses (MOOCs) are one of these new learning environments. Although it is believed that MOOCs have a great protentional in formal and informal education, high drop-out and low completion rates are considered as a major issue about MOOCs. This study examined the factors that effected the MOOC participants’ noncompletion in the MOOCs Platform, entitled as AKADEMA, of Anadolu University, and their recommendations for improvement of these MOOCs. During this case study, data were collected by using an online questionnaire that included open-ended questions. A content analysis process was employed to reach the themes about noncompletion reasons. Three themes were drawn personal reasons, platform (program)-based reasons, and design-based reasons. Among personal reasons, the ‘other responsibilities’ was the most often cited reasons of noncompletion. Meanwhile, length of the courses (too long) among platform (program)-based reasons, and insufficient timely feedback from the instructors among the content design-based reasons were noted the most. In terms of recommendations for improvement, better announcements about start and end dates of the courses, quality of the videos, more user-friendly interface, and variety in course contents are listed as the major ones.
Modelling The Tides Of The Southern Weddell Sea

Numerical modeUing presented in this thesis reproduces the tides o f the Weddell Sea, a region where a significant proportion of a globally important water mass, Antarctic Bottom Water is generated. The presence of the Filchner and Ronne Ice Shelves in the southern Weddell Sea, and heavy pack ice conditions in the rest of the Weddell Sea have greatly restricted direct observations of the general oceanography. By producing tidal maps for the whole of the Weddell Sea which are in agreement with the available data, this study has contributed to the understanding of the general oceanography of this important region. In addition, the following conclusions can also be drawa The presence of the ice shelves in the southern Weddell Sea has little effect upon the tides except for the reduction in water column thickness. This means that the value of the friction coefficient at the ice-ocean interface is no more important than the value of the friction coefficient at the sea floor. Ice shelf flexure at grounding lines has a significant but highly localised effect upon the tides, the effect not being seen at sites some distance from grounding lines. This suggests that ice shelf flexure is not a significant mechanism for tidal energy dissipation. The results from the tidal model were affected by changes to the water column, but indicated that given the correct bathymetry the model would produce accurate results. The model results also suggested that the most significant areas of tidal eiiergy dissipation are the shallowest areas of the continental shelf. Because of the effect of the ice shelf on reducing the water column thickness this locates these areas on the continental shelf just “inshore” from the front of the Rorme Ice Shelf, though the continental shelf break was also significant. ii
Two-Higgs-doublet type-II and -III models and t → ch at the LHC

We study the constraints of the generic two-Higgs-doublet model (2HDM) type-III and the impacts of the new Yukawa couplings. For comparisons, we revisit the analysis in the 2HDM type-II. To understand the inﬂuence of all involving free parameters and to realize their correlations, we employ a χ -square ﬁtting approach by including theoretical and experimental constraints, such as the S, T, and U oblique parameters, the production of standard model Higgs and its decay to γ γ , W W ∗ / Z Z ∗ , τ + τ − , etc. The errors of the analysis are taken at 68, 95 . 5, and 99 . 7 % conﬁdence levels. Due to the new Yukawa couplings being associated with cos (β − α) and sin (β − α) , we ﬁnd that the allowed regions for sin α and tan β in the type-III model can be broader when the dictated parameter χ F is positive; however, for negative χ F , the limits are stricter than those in the type-II model. By using the constrained parameters, we ﬁnd that the deviation from the SM in h → Z γ can be of O ( 10 % ) . Additionally, we also study the top-quark ﬂavor-changing processes induced at the tree level in the type-III model and ﬁnd that when all current experimental data are considered, we get Br ( t → c ( h , H )) < 10 − 3 for m h = 125 . 36 and m H = 150 GeV, and Br ( t → cA ) slightly exceeds 10 − 3 for m A = 130 GeV.
ILS Market-Derived Metrics: Implications for Risk Adjustment Transforms and Capital Allocation

The stock of outstanding natural catastrophe insurance-linked securities (ILS) was at an all-time high of nearly US$15 billion as of mid-2012. Nearly half of those ILS were issued in the previous six months and almost all the rest were issued during 2011. All were eligible for trading in the secondary market. A bond issued in 2011 may have a higher or lower coupon than a recently issued new bond. However, the bond’s secondary-market yield will be close to that of a new bond on the day it is issued (assuming similar risks). On any particular day, secondary-market ILS yields will vary depending on market perceptions of remaining risk, supply and demand for risk protection in the market as a whole and the set of competitive alternatives. Taking all the secondary-market yields at a single point in time for each ILS therefore captures the market appetite for risks and compensatory returns that the market collectively demands. It does this for all the risks embedded in the outstanding bonds – whether wind, earthquake or geographic area. Secondary-market prices present a rich trove of embedded information. The purpose of this chapter is to try to extract, ie, make explicit, the risk–return tradeoff that is implicit in the market’s pricing. It is no easy task and requires some preparatory reasoning, which we lay out below. The analysis involves an approach that is suited to insurance or ILS markets that (a) are long-tailed, (b) have expected-loss estimates by scenario and (c) are “incomplete”. “Incomplete” is a term Lane Financial LLC; RisKontroller Global 21
Masterarbeit in Physik Deterministic Encoding of a Qubit in a Cavity Mode Using Phase Estimation

Gottesman, Preskill and Kitaev have formulated a way of encoding a qubit in a harmonic oscillator. The scheme offers several nice features for experiments as it uses simple optical components for qubit storage, error correction and fault-tolerant gates. However, it makes use of code states that are hard to construct. In recent years, experimental techniques have been developed that might make the construction of these code states feasible. In this thesis, several deterministic protocols are proposed and analyzed that use circuit quantum electrodynamics to approximately encode a qubit in an oscillator by dispersively coupling a transmon qubit to a microwave cavity mode. In these protocols, the qubit is encoded by using the transmon and the displacement pulses controlled by the transmon to perform phase (or eigenvalue) estimation of the unitary stabilizers of the code. This thesis shows that it is possible to encode a qubit in a harmonic oscillator and to perform quantum error correction on this qubit using current experimental techniques.
Trajectory Planning and Tracking for Carrier Aircraft-Tractor System Based on Autonomous and Cooperative Movement

The solution of how to plan out the cooperative moving trajectory autonomously and control the motion of carrier-based aircraft timely and accurately is the key to helping improve the overall deck operation efficiency. The main problem discussed in this article is coordinated trajectory planning strategy for multicarrier aircraft and cooperative control between tractor and carrier aircraft. First, the kinematic model and three-degree-of-freedom dynamics model of the towbarless traction system are established. Then, a coevolution mechanism for aircraft systems is proposed to ensure coordinated trajectory planning among multiple aircraft and a trajectory adapted to the tractor-aircraft system is generated based on the hybrid RRT algorithm. Next, a double-layer closed-loop controller is designed for the trajectory tracking of the tractor-aircraft system on the deck under the constraints of incomplete constraints and various physical conditions. It includes an outer model predictive controller which effectively controls the cooperative motion between the carrier aircraft and tractor and an inner torque control strategy based on adaptive fuzzy PID control which strictly ensures the stability of the system. Simulation results demonstrate that the controller is more rapid, more accurate, and more robust in tracking line trajectory with initial deviation, sine curve with large curvature, and complex trajectories on decks compared with backstepping control and LQR algorithm.
On the Relationship Between the Five-Factor Personality Model and the Color-Brightness and Statistical Characteristics of Images Published in Social Networks

The purpose of the article is to study the relationship of personality traits with the content of images posted in social networks. The paper attempts to identify informative features and appropriate ways to configure artificial neural networks. The developed technique includes obtaining several color-bright-based and statistical characteristics of image collections in the form of histograms and BoW dictionaries with further construction of classifiers based on artificial neural networks to test the hypothesis about the interrelation between the available graphic data and the five-factor personality model of the tested. The questionnaire, which allowed the formation of training and test samples, was carried out by employees of the Psychological Institute of RAE with the “NEO-FFI” test, which included 60 questions. The collections of images used are datasets that published by users of the “VKontakte” social network. The problems of determining personality factors were experimentally solved with using classifying and predictive artificial neural networks. The work confirmed the prevailing opinion that there is no significant interrelation (correlation) between placed images and “Big Five” personal factors. With the help of published images, the factors “Openness” and “Agreeableness” are predicted best, worst of all – “Neuroticism”. The results of forecasting personality recognition traits improve as the number of layers of neural networks grows, up to overtraining moment.
Classification of RADARSAT-2 full polarization time-series for irrigated rice plantation and yield estimation

Thailand is one of the world's top rice producers and exporters. The estimation of rice yields and cultivation areas are important to make decisions and policies. Nowadays, Remote Sensing techniques are widely used for rice monitoring. The objectives of this study were to classify the rice plantation and to estimate rice yield in Suphan Buri province, Thailand. The RADARSAT-2 full polarization time-series were used to examine the correlation between SAR backscattering coefficient and biophysical parameters of rice. In this study, the irrigated rice plantations were classified by using a combination of the k-means and maximum likelihood classification method. Then, the integration of Support Vector Machine (SVM) and spatial data such as behaviors and skills of farmers as well as water management were observed and analyzed in rice plantation. Additionally, the regression analysis was also used to estimate rice yield. The results showed that the backscattering coefficient is highly correlated with rice high, Leaf Area Index (LAI), age, and biomass. The SVM method could be used for classification of the rice plantation especially in irrigation zone where the different plantation dates are. The high accuracy of the rice yield estimation was found at regional scale. Further study for evaluating the output of satellite data is accurate in the area. Future studies should be performed in conjunction with other information, such as meteorological data, together with the estimated dry weight (Dry matter) from satellite data. Using the model to calculate the yield of harvest index is more accurate.
A Protocol for Factor Identification by Kuntara Pukthuanthong and Richard Roll

Several hundred factor candidates have been suggested in the literature. We propose a protocol for determining which factor candidates are related to risks and which candidates are related to mean returns. Factor candidates could be related to both risk and returns, to neither, or to one but not the other. A characteristic cannot be a factor. Time variation in both risk premiums and covariances is a challenge, but manageable with recently developed statistical procedures. We illustrate those techniques and also propose a new instrumental variables method to resolve the errors-invariables problem in estimating factor exposures (betas) for individual assets. Our study will advance the global practice of investment management. Authors’ Coordinates Pukthuanthong Roll Address Department of Finance University of Missouri Columbia, MO 65211 California Institute of Technology Pasadena, CA 91125 Voice (619) 807-6124 (626) 395-3890 E-Mail pukthuanthongk@missouri.edu rroll@Caltech.edu Acknowledgements We thank Dave Berger, Michael Brennan, Stephen Brown, Daniel Carvalho, Eric de Bodt, Wayne Ferson, Stefano Gubellinni, Campbell Harvey, Yan Liu, Peter Pope, Stephen Ross, Eduardo Schwartz, Kenneth Singleton, Ivo Welch and seminar participants at the 2012 Inquire UK conference, the 2013 Southwestern Finance Association annual meeting, the UCLA Brown Bag Seminar, the 2013 Rotman ICPM Seminar, the 2013 Australian Finance Conference and the 2014 Asian Finance Association Conference for very helpful and constructive suggestions. We owe a great debt of gratitude to Olivier Ledoit for generous and unstinting guidance. We are thankful for the financial support from Inquire UK, the Dauphine–Amundi Chair in Asset Management, and the Rotman International Centre for Pension Management (ICPM) at the University of Toronto
THE MEAN TIME FOR A NET PROFIT AND THE PROBABILITY OF RUIN PRIOR TO THAT PROFIT IN THE CLASSICAL RISK MODEL

For the classical risk model, we consider the expected amount of time until the insurer makes a net profit exceeding a prescribed amount a. Since ruin may occur prior to that event, we also discuss the probability of net profit for the insurer of at least a before ruin occurs. Finally, we derive an expression for the conditional expectation of the time to reach a certain profit given that this happens prior to ruin.
Phase-Field-Based LBM Analysis of KHI and RTI in Wide Ranges of Density Ratio, Viscosity Ratio, and Reynolds Number

Numerous studies have elaborated the dominated roles of Kelvin-Helmholtz instability (KHI) and Rayleigh-Taylor instability (RTI) in the liquid sheet breakup and primary atomization. As for applications in aeronautics, the liquid-gas mixing generally occurs at the challenging conditions of a large density ratio and high Reynolds number. Hence, the evaluation of KHI and RTI under such challenging conditions will have great significance in better understanding the destabilizing mechanism of the liquid layer. To this end, a lattice Boltzmann multiple-relaxation-time (MRT) two-phase model, based on the conservative Allen-Cahn equation, is reconstructed for the present study. Preliminarily, the numerical stability and accuracy of this MRT model are tested by Laplace’s law under a large density ratio and high Reynolds number, including the sensitivity study to the values of mobility. Afterward, KHI and RTI are investigated in wide ranges of the Reynolds number, density ratio, and viscosity ratio. Numerical results indicate that the enhanced viscous force of light fluid with an increasing viscosity ratio notably suppresses the roll-ups of heavy fluid in KHI and RTI. As for the density ratio, it generally shows negative impacts on fluid-mixing in KHI and spike-spiraling in RTI. However, when the density ratio and the Reynolds number both arrive at high levels, the Kelvin-Helmholtz wavelets aroused by a dominated inertia force of heavy fluid trigger severe interface disintegration. The above results once more demonstrate the excellent ability of the present model in dealing with challenging conditions. Besides, the morphological characteristics of KHI and RTI at a high Reynolds number and large density ratio also greatly support the typical interface breakup mechanism observed in primary atomization.
Emergency Clinician Experiences Using a Standardized Communication Tool for Cardiac Arrest

Introduction Sudden cardiac arrest remains a common and critical disease burden. As post-cardiac arrest care grows in complexity, communication between pre-hospital providers, emergency department personnel, and hospital consultants is increasingly important. Methods This study evaluated the use of a standard handoff tool between pre-hospital personnel and hospital staff, including emergency medical services (EMS), emergency department nurses, physicians, and cardiologists. Personnel were surveyed regarding attitudes surrounding the important aspects of cardiac arrest care, challenges faced, and preference of handoff mechanism. Results Most of the survey respondents (58, 76%) found that the initial rhythm was the most important factor in post-cardiac arrest care, followed by the presence of bystander cardiopulmonary resuscitation (CPR; 55, 72%) and the presence of ST-elevation on initial electrocardiogram (46, 61%). Both emergency physicians (7, 63%), as well as cardiologists (3, 100%), preferred to have this tool performed over radio prior to arrival in the emergency department. Conclusion The importance given to various post-cardiac arrest factors varied amongst specialty and clinical background; however, all agreed on common features such as the initial rhythm, electrocardiogram (ECG) morphology, and the presence or absence of bystander CPR. Additionally, the timing and structure of how this information is delivered were further elucidated. This data will guide future handoff methods between specialties managing patients after cardiac arrest.
L¹-contraction and strong convergence of approximations for a pseudomonotone SPDE

for a cylindrical Wiener process W(t) in L2(D) with respect to a filtration (Ft) satisfying the usual assumptions, p ≥ 2 and F : R → Rd locally Lipschitz continuous. We consider the case of multiplicative noise with H : L2(D) → HS (L2(D)), HS (L2(D)) being the space of Hilbert-Schmidt operators, satisfying appropriate regularity conditions. Moreover, we discuss conditions for strong convergence of approximate solutions and adapt the argument of Gyöngy and Krylov.
Control Criticality within High-Complexity and Low-Threshold Systems, and the Role of Topological Quantum Computing in such Solutions

: A confluence of natural and social factors creates an environment rich and also problematic with non-deterministic systems characterized by high uncertainty, noise and asymmetry in behaviors and predictability. Natural influences include environmental and climate changes and the growth in space-based mechanical activities including new deep-space ventures such as asteroid mining and impact-deterrence. Socioeconomic developments include the pervasiveness of internet communications and devices ( “ Internet of Things ” proliferation of personal and industrial appliances) and the growth of cooperative and interactive robotics, as well as self-driving automobiles and trucks. Increasingly our society is engaged with both desires and needs to exercise control over systems that are extremely complex and also have low thresholds for failure. New models for computation are required which can go beyond the constraints of conventional Turing-machine calculators, including massive parallel machines and prospective quantum computers that employ discrete qubit logics for superposed representation of binary values in the same framework of computation-as-calculation. Topological computing based upon a fundamentally biological model offers promise for delivery of physically and operationally robust computing machines that will serve the requirements for intelligent control and cybernetics in the management of increasingly complex and “ extreme ” systems.
Intrusion Detection with Segmented Federated Learning for Large-Scale Multiple LANs

Traditional approaches to cybersecurity issues usually protect users from attacks after the occurrence of specific types of attacks. Besides, patterns of recent cyberattacks tend to be changeable, which add up to unpredictability of them. On the other hand, machine learning, as a new method used to detect intrusion, is attracting more and more attention. Moreover, through the sharing of local training data, the centralized learning approach has proven to improve a model's performance. In this research, a segmented federated learning is proposed, different from a collaborative learning based on single global model in a traditional federated learning model, it keeps multiple global models which allow each segment of participants to conduct collaborative learning separately and rearranges the segmentation of participants dynamically as well. Furthermore, these multiple global models interact with each other for updating parameters, thus being adaptable to various participants' LANs. A dataset covering two months' traffic data from 20 participants' LANs in the LAN-Security Monitoring Project is used. We adopt three types of knowledge-based methods for labeling network events and train a CNN model based on the dataset. At last, we achieve validation accuracies of 0.923, 0.813 and 0.877 individually with these labeling methods.
EXTERNAL FIXATION OR FLEXIBLE INTRAMEDULLARY NAILING FOR FEMORAL SHAFT FRACTURES IN CHILDREN

We report the outcome of 19 children aged 5.2 to 13.2 years with 20 fractures of the femoral shaft requiring surgery, who were randomly assigned to have external fixation (EF) or flexible intramedullary nailing (FIN) (10 fractures each). The duration of the operation averaged 56 minutes for the EF group with 1.4 minutes of fluoroscopy, compared with 74 minutes and 2.6 minutes, respectively, for the FIN group.The early postoperative course was similar, but the EF group showed much more callus formation. The time to full weight-bearing, full range of movement and return to school were all shorter in the FIN group. The FIN complications included one transitory foot drop and two cases of bursitis at an insertion site. In the EF group there was one refracture, one rotatory malunion requiring remanipulation and two pin-track infections.At an average follow-up of 14 months two patients in the EF group had mild pain, four had quadriceps wasting, one had leg-length discrepancy of over 1 cm, four had malalignment o.
Combining a Computed Laminography Approach with Tomographic Analysis for a Study of Weld Joints

The quality of a weld joint is subject to several factors, from material characteristics to environmental conditions. Its mechanical behavior is a broad field of study with specific industrial standards. Within a study of a weld joint, we employed a combination of a computed laminography [1] approach with tomographic analysis in order to extract and analyze specimens that were afterwards tested to assess the welding stress-strain and fracture characteristics. The main objective was to study the effect of surface porosity-type flaws. For this purpose, instead of a blind extraction of specimens from a welded block, we proceeded to a pre-identification of large porosity defects and the specimens were then cut and machined such that the flaws would be situated on the surface of test samples. The positions of these flaws were extracted with the laminography approach and it was crosschecked with measurements with an ultrasound testing technique. Computed tomography was employed as a characterization step before the stress-strain and fracture tests.