Miracle-dz/UniFAR-FTUs huggingface dataset:
Analytical Solution for Nonlinear Dynamic Response of the Viscoelastic Microbeam Under Electrical Actuation Based Upon Micropolar Theory of Elasticity

In this paper, the dynamic response of electro actuated viscoelastic microbeam is investigated and micropolar theory of elasticity has been used to consider the effects of size in microstructure. Euler-Bernoulli beam theory and Hamilton’s principle with considering viscoelastic integral constitutive equations, the midplane stretching effect, the axial residual stress and electrostatic force has been used to obtain the equation of motion and the boundary condition of fixed-fixed viscoelastic microbeam. Therefore, the nonlinear integro-differential equation in Volterra integral equation form is obtained. Galerkin method will be used, in order to solve the nonlinear partial integro-differential governing equation and then it converted to the ordinary integro-differential equation. By using the fourth order Runge Kutta method, we can obtain the response (transverse displacement) of the electro actuated viscoelastic microbeam. In the following, the effect of initial gap value and material length scale parameter on the viscoelastic microbeam behavior are investigated. In the end, the viscoelastic microbeam is simulated in the FE software and the problem is analyzed in quasi-static form. In order to validate, the simulation result is compared with the result obtained from the quasi-static solution of the viscoelastic microbeam.
A Comparative Analysis of Classification Techniques in Educational Data Mining Using Computer Programming Proficiency Indicators

Computer programming is central to Computer Science and Computer Science Education. However, many students who take programming courses do not find it easy getting a mastery of it. This study evaluates factors that mostly influence students' proficiency in programming presents as well as build data mining models for predicting student competence in computer programming using three data mining classification techniques. Socio-economic and students' personal data as well as their final grades in a computer programming course were obtained using a structured questionnaire from students of Computer Science in three Universities and one Polytechnic, all in Oyo State, Nigeria. These data were subjected to Decision Tree, Artificial Neural Network and Bayesian Network classification tasks using WEKA tool. Results from this study indicate that the factors that mostly influence students' proficiency in programming were the student interest level, self-efficacy, motivation, previous knowledge of programming and the lecturer's performance. Furthermore, the Decision Tree J48, multilayer perceptron and Naive Bayes techniques/algorithms created models whose overall accuracies were 71.57, 80.30 and 64.09 %, respectively. The study serves as a guide to predict students' performance especially those who are generally at risk of failing computer programming. Advisors, lecturers and management bodies could thus single out these ones and provide appropriate advice, recommendations and resources.
Energy intake rate influences survival of Black Oystercatcher Haematopus bachmani broods

ROBINSON, B.H. , PHILLIPS, L.M. & POWELL, A.N. 2019. Energy intake rate influences survival of Black Oystercatcher Haematopus bachmani broods. Marine Ornithology 47: 277–283. The Black Oystercatcher Haematopus bachmani is a species of conservation concern that depends on marine intertidal prey resources. We examined diet, feeding rates, growth, and survival of Black Oystercatcher broods in southcentral Alaska, 2013–2014. To determine the importance of diet for brood survival, we modeled daily survival rates of broods as a function of energy intake rate and other ecological factors. We hypothesized that broods fed at higher energy intake rates would grow faster and fly earlier, and thus be less vulnerable to predators and have higher rates of survival. Consistent with our prediction, broods with higher energy intake rates had higher rates of growth and daily survival. Our best-supported model indicated that brood survival varied by energy intake rate and brood age. To understand how adults meet the increasing nutritional needs of developing chicks, we examined delivery rates, prey type, and prey size as a function of brood age. Delivery rates differed by age, but composition and size classes of prey items did not, indicating that adults respond to the rising energetic needs of broods by increasing parental effort rather than by switching prey. These findings demonstrate the importance of diet and provisioning to broods and, given the consequences of reduced energy intake on survival, indicate that climate change–related shifts in intertidal invertebrates could significantly impact Black Oystercatcher populations.
Körperliche Aktivität in der Primärprävention der koronaren Herzkrankheit

Cardiovascular diseases are responsible for nearly half of cause of deaths in the industrial countries. The prevalence of physical inactivity, one of the cardiac risk factors, is dramatically increasing. On the other hand, the benefit of activity is well documented in several studies, but the form, intensity and frequency are controversially discussed. Obviously, the status of physical fitness plays an important role as a predictor of cardiovascular diseases. To improve fitness, training has to be relatively intensive. On the other hand moderate physical activities, incl. daily activities seem to be beneficial  especially for beginners. Physical activity can trigger cardiovascular events, but active persons are less concerned than inactive.
How Domestic and International Reactions to Coups Influence Regime Survival

Signals from domestic and international actors have been shown to influence the likelihood of coups. Coups remain difficult to predict and consequently leave policy makers in a reactive stance, but little systematic work assesses how these reactions influence long-term outcomes. We examine how reactions from domestic and international actors influence the duration of coup-born regimes, arguing that negative reactions will shorten leadership duration. We further probe these relationships by considering how signaling consistency, Cold War dynamics, and precoup relationships condition the influence of reactions on leadership duration. Tests use events data to capture domestic and international reactions and newly coded information on leadership to capture leader duration. Results indicate that international responses have a profound influence on leadership tenure, especially those from strong actors. We find tentative support that state reactions have the strongest effect during the Cold War, while international organizations matter the most afterward. Department of Political Science, University of Kentucky, Lexington, KY, USA Department of Political Science, University of Central Florida, Orlando, FL, USA Independent Researcher Department of Political Science, University of Rochester, Rochester, NY, USA Corresponding Author: Jonathan Powell, Department of Political Science, University of Central Florida, 4297 Andromeda Loop N Orlando, FL 32816, USA. Email: jonathan.powell@ucf.edu Journal of Conflict Resolution 1-27 a The Author(s) 2017 Reprints and permission: sagepub.com/journalsPermissions.nav DOI: 10.1177/0022002716685611 journals.sagepub.com/home/jcr
A Machine Learning based Approach for Mapping Personality Traits and Perceived Stress Scale of Undergraduate Students

This paper focuses on the personality traits of students and stress scale they had to face in undergraduate level. With the advancement of computer science and machine learning based applications, we have tried to inter-correlate the terms. In the area of computational psychology, it is important to understand participants’ psychological behavior using personality traits and predict how he/she is going to react on a certain level of the stressed situation. For the experiment, we have collected data of around 150 participants. The personality traits data are collected using the standard survey named The Big Five Personality Test created by IPIP organization and stress scale measurements are collected using scale devised by Sheldon Cohen named as Perceived Stress Scale hosted by Mind garden. The data are taken from Bangladeshi computer science undergraduate students and kept anonymous. In this paper, we have applied nine different machine learning based classification models are built for mapping the traits with stress scales. For performance evaluation, we have utilized precision, recall, f1-score, and accuracy. From the experimental findings, we found that Sequential Minimal Optimization (SMO) and k-NN classifier gives the highest prediction accuracy which is approximately 70%.
Static Taint Analysis of Binary Executables Using Architecture-Neutral Intermediate Representation

Ghidra, National Security Agency’s powerful reverse engineering framework, was recently released open-source in April 2019 and is capable of lifting instructions from a wide variety of processor architectures into its own register transfer language called p-code. In this project, we present a new tool which leverages Ghidra’s specific architecture-neutral intermediate representation to construct a control flow graph modeling all program executions of a given binary and apply static taint analysis. This technique is capable of identifying the information flow of malicious input from untrusted sources that may interact with key sinks or parts of the system without needing access to the source code itself and can be retargetable to analyze the behavior of a given program across many different processors.
CESifo Working Paper No . 586 October 2001 BARTER , LIQUIDITY AND MARKET SEGMENTATION

This paper explores the private and social benefits from barter exchange in a monetized economy. We first prove a no-trade theorem regarding the ability of firms with double-coincidences-ofwants to negotiate improvements in trade among themselves relative to the market outcomes. We then demonstrate that in the presence of liquidity shocks, introducing a non-monetary exchange avoids this limitation and enhances trade by (1) generating liquidity and (2) by segmenting the market place into low-demand and high-demand customers in a manner which is impossible with pure monetary exchange. We provide comparative statics illustrating the importance of each effect and relevant extensions.
Compliant Control for Walking Robots with the Use of a Virtual Spring-Damper System

The paper deals with one of the modern challenges in walking robotics: moving across a rough terrain where the geometry of the terrain is unknown and hence it is impossible to plan precise trajectories for the robot feet in advance, before a collision with the supporting surface occurs. In this paper, an algorithm for the dynamics correction of the foot trajectory based on the compliant control is employed to deal with the problem. Additionally, to solve the problem of dynamic correction of the foot trajectory, it also provides a biomorphic reaction force profile, which might be a desired property for some applications.
NEUROIMAGING OF DEMYELINATING DISEASES

The availability of advanced imaging techniques, especially that of MRI, has truly revolutionized the field of clinical neuroimmunology. MRI is extensively used in the diagnosis, prognostication, and disease monitoring of neuroimmunologic conditions. MRI biomarkers are integral parts of the current diagnostic criteria for multiple sclerosis, acute disseminated encephalomyelitis, and neuromyelitis optica. Advanced MRI findings reveal the importance of pathology in normal-appearing brain tissue, the relevance of brain and spinal cord atrophy, and the presence of gray matter pathology. MRI allows for monitoring of complex processes such as remyelination or axonal damage. Despite all the advances, demyelinating diseases cannot be diagnosed based on MRI findings alone. Many of the classic MRI markers are very sensitive but have poor specificity for the disease process. They therefore represent an important extension in the diagnostic armamentarium of the practicing neurologist but are not a replacement for solid clinical judgment.
Microphysical properties and fall speed measurements of snow ice crystals using the Dual Ice Crystal Imager (D-ICI)

Abstract. Accurate predictions of snowfall require good knowledge of the microphysical properties of the snow ice crystals and particles. Shape is an important parameter as it strongly influences the scattering properties of the ice particles, and thus their response to remote sensing techniques such as radar measurements. The fall speed of ice particles is another important parameter for both numerical forecast models as well as representation of ice clouds and snow in climate models, as it is responsible for the rate of removal of ice from these models. We describe a new ground-based in situ instrument, the Dual Ice Crystal Imager (D-ICI), to determine snow ice crystal properties and fall speed simultaneously. The instrument takes two high-resolution pictures of the same falling ice particle from two different viewing directions. Both cameras use a microscope-like setup resulting in an image pixel resolution of approximately 4 µm pixel−1. One viewing direction is horizontal and is used to determine fall speed by means of a double exposure. For this purpose, two bright flashes of a light-emitting diode behind the camera illuminate the falling ice particle and create this double exposure, and the vertical displacement of the particle provides its fall speed. The other viewing direction is close-to-vertical and is used to provide size and shape information from single-exposure images. This viewing geometry is chosen instead of a horizontal one because shape and size of ice particles as viewed in the vertical direction are more relevant than these properties viewed horizontally, as the vertical fall speed is more strongly influenced by the vertically viewed properties. In addition, a comparison with remote sensing instruments that mostly have a vertical or close-to-vertical viewing geometry is favoured when the particle properties are measured in the same direction. The instrument has been tested in Kiruna, northern Sweden (67.8∘ N, 20.4∘ E). Measurements are demonstrated with images from different snow events, and the determined snow ice crystal properties are presented.
Enhanced Classification Methods for the Depth of Cognitive Processing Depicted in Neural Signals

Analyzing brain states is a difficult problem due to high variability between subjects and trials, therefore improved techniques are requested to be developed for a better discrimination between the neural components. This paper investigates multiple enhanced classification methods for neurological feature selection and discrimination of the depth of cognitive processing. The aim is to detect the strengths and weaknesses of different classification methods and benefit from their highest performances, so that the neural information could optimally be detected. As a result, we obtained a classification rate improved by at least 5% by integrating complementary information that better describe the neural activity.
Studies on nutritional deficiency in cows in El-Behera province

Thirty eight mixed breed cows, 3-7 years old suffered from alopecia (34%), ill-thrift (50%) and infertility (16%) and seven apparently healthy cows were selected from different villages at El-Behera province in autumn 2018. All cows were subjected to clinical and laboratory examination. Poor appetite, reduced milk production and pale conjunctival mucous membranes were recorded in diseased cows. Rough and shed coat and brownish discoloration of black hair were observed in some cows. Decreased ruminal motility, poor performance, anestrum, delayed estrus and repeat breeding were also diagnosed. Gray-blackish, semisolid-pasty feces, containing undigestible food fibers are common. Mild-moderate nematode (83%), Fasciola (15%) and Paramphistoma (2%) eggs were recorded. Serum biochemical results showed significant decrease in the mean values of copper, zinc, calcium, inorganic phosphorus and magnesium in cows with alopecia, ill-thrift and infertility. Hematological studies showed significant decrease of RBCs, Hb, PCV, MCV and MCH in all diseased cows. Moderate microcytic, hypochromic anemia is recorded
Predicting expressive timing and perceived tension in performances of an unmeasured prelude using the IDyOM model

Background Following Kendall and Carterette’s model (1990), listeners’ responses to a musical performance may be modeled by taking into account both the musical structure conveyed by the score and the specific features of the interpretation. Unlike most musical genres in which the performer’s interpretative freedom is constrained by the metrical structure provided by the score, the unmeasured prelude is a genre which does not specify a rigid metrical and durational structure, thus providing an ideal repertoire for investigating the links between musical structure, expressive strategies in performance, and listeners' responses.
Knowledge Integration between System Integrator and Supplier: a R&D Project in Power Transmission

In this thesis proposal I briefly present my theoretical framing, which consists of three different areas where I try to pin-point in which environment my study will be made, with what perspective and what is to be analyzed. My research aim is shortly described, and followed by methodology. My study will be of the relationship between system integrators and suppliers in R&D projects. Here I will study knowledge integration, namely how it is implemented, and which factors and mechanisms that are used. In other words, how can system integrator benefit from the supplier’s specialized technical knowledge when developing systems? My first case study of a R&D project of a power transmission system at ABB. The project is integrating a battery into the system and has no prior experience of this technology.
Effects of ischemic preconditioning on indirect markers of exercise-induced muscle damage: protocol for a randomized placebo-controlled trial

Background: Ischemic preconditioning (IPC) has been used to improve exercise performance, but its role in protecting against exercise-induced muscle damage (EIMD) is still unclear. Objective: To investigate the effects of IPC on the indirect markers of EIMD when compared to placebo. Methods: 30 healthy young men, with no recent experience in lower limb strength training, will be recruited. Subjects will be allocated randomly into two groups: IPC or placebo. The IPC group will undergo 4 x 5 min of occlusion (with individualized total occlusion pressure), interspersed with 5 min of reperfusion. The placebo group will be submitted to the same protocol, but with minimum pressure (10mmHg) being applied during the occlusion period. After the interventions, volunteers will be submitted to muscle damage induced by isokinetic exercise (10 sets of 12 maximum eccentric repetitions) in the non-dominant femoral quadriceps. The primary outcome will be isometric peak torque, measured both before and up to 72 hours after exercise. Secondary outcomes include rate of torque development, muscle soreness, knee range of motion, thigh circumference and blood levels of creatine kinase. Discussion: The results of this trial will indicate whether the effects of IPC are superior to placebo in the protection against EIMD.
Racial Microaggression in Multicultural Malaysia: Ethnic-specific Experience of University Students

Contemporary studies on racial microaggression in Southeast Asian countries, particularly those that take into account the experience of people from different ethnic groups, are limited. As such, the current study focused on racial microaggression experience amongst Malaysian university students from different ethnic groups. A sample of 40 university students was recruited through purposive and snowball sampling strategies. The participants comprised of nine ethnic Malays, 10 ethnic Chinese, 10 ethnic Indians, seven ethnic groups from East Malaysia and four of mixed-parentage. A qualitative method using semi-structured individual interviews was utilized. Responses/verbatim from the interviews were analyzed using Interpretative Phenomenological Analysis (IPA) method. Results indicated 11 common racial microaggression themes reported by participants across most ethnic groups, including ‘In-group benefit’ and ‘The paradox of over-scrutiny/ overlook. ’ Also, five ethnic-specific themes, such as ‘Pathologizing cultural values/ communication style’ and ‘Ignorant about the situation in Sabah & Sarawak. ’ The findings indicate that while there can be a shared experience of racial microaggression for people of different ethnicities, the actual themes experienced by specific ethnic groups may differ. Theoretical and practical implications include recommendations on how to address the issue in Malaysia.
THE GRADUATE SCHOOL A PRIORI CHARACTERIZATION OF LOCALITY WITHIN SEQUENTIAL-IMPLICIT NONLINEAR SOLUTION PROCESSES by

Soham M. Sheth (Master of Science in Petroleum engineering) A Priori Characterization of Locality within Sequential-Implicit Nonlinear Solution Processes Directed by Rami M. Younis 73 pp., Chapter 5: Discussion (266 words) Flow in porous media is characterized by a set of coupled nonlinear governing equations, arising due to the volume averaging process of the continuum. These equations invariably exhibit a localized character in space and time. Transport variables, exhibiting a hyperbolic wave nature, evolve very locally while flow variables, essentially parabolic waves, show a relatively global support. Characterizing the nonzero support of the change in the state variables holds immense application. Many heuristic methods have been developed to exploit this knowledge of locality in the past, but little to no work has been done on deriving analytic formulations. Moreover, it is hypothesized that certain closed form analytical models that depend solely on known parameters of the system provide a priori characterizations of the support. This thesis aims at characterizing the spatiotemporal evolution of the multiscale flow and transport systems analytically. This approach first proceeds by forming the fully-implicit, semi-discrete in time, set of equations. This is followed by obtaining the infinite-dimensional Newton iterations, solutions of which result in the updated state variables. In this, each iterate is the solution of a linear, steady state Partial Differential Equation; the solution itself is the Newton update. The sum of these updates is the instantaneous change in the state variables over the time step. The practical implications of this work are far-reaching; uncertainty quantification and simulation model developers will know the precise locality of any dynamic multiphase iii displacement before knowing its complete state. This can lead to the development of numerical techniques in multiscale numerical simulation of oil and gas recovery that perform on orders of magnitude more computationally efficiently.
Complementarity of Reading from Paper and Screen in the Development of Critical Thinking Skills for 21st-century Literacy.

The skill of reading undergoes dramatic changes due to the change of reading interface readers are exposed to. Readers who want to be active participants of knowledge society need to perceive it as more than just a receptive skill. The study aims to assess the condition of homo legens, diagnose what kind of reading interface preferences characterize 21st-century readers, how they respond to texts considering reading both digitally and in print, accepting or viewing critically the underlying ideology of the text. The analysis of the collected data attempts to determine if the reported preferences are conducive to the development of critical thinking skills for 21st-century literacy, which include understanding complex ideas, evaluating evidence, weighing alternative perspectives and constructing justifiable arguments.