Miracle-dz/UniFAR-FTUs huggingface dataset:
Bernoulli polynomials collocation for weakly singular Volterra integro-differential equations of fractional order

This paper is concerned with a numerical procedure for fractional Volterra integro-differential equations with weakly singular kernels. The fractional derivative is in the Caputo sense. In this study, Bernoulli polynomial of first kind is used and its matrix form is given. Then, the matrix form based on the collocation points is constructed for each term of the problem. Hence, the proposed scheme simplifies the problem to a system of algebraic equations. Error analysis is also investigated. Numerical examples are announced to demonstrate the validity of the method.
Motion sickness in tilting trains: description and analysis of the present knowledge: literature study

Carbody tilting is today a mature and inexpensive technology allowing higher speeds in curves and thus reduced travel time. The technology is accepted by most train operators, but motion sickness is an issue still holding back the full potential of tilting trains. Evidence of motion sickness has been reported in air, in space, at sea, on cars, on trains, at fairground rides etc. There are more reports of motion sickness in tilting trains than in non-tilted trains, and the share of passengers getting motion sick is also higher in tilting trains. Motion sickness resulting from provocative experiments in laboratories is one very important key in finding the cause of motion sickness as provocative motions can be isolated in laboratories but not in real environments. Laboratory tests have proven that translations in all directions can cause motion sickness. Rotations seam to have less correlation with motion sickness than translations. However, all the laboratory tests causing motion sickness have been performed at amplitudes higher than amplitudes measured in tilting trains. Combinations of motions, in particular translations combined with rotations, may be the cause of motion sickness in tilting trains as combinations of motions are recognized as effective in creating motion sickness. The report has two main parts. The first part, chapters 2 and 3, covers the knowledge found in the literature and the experiences from tests performed in laboratories. Also reported and discussed are the issues where motion sickness has been found to appear, the character of the motions involved, different hypotheses for the causation of motion sickness as well as its time dependence. The second part, chapters 4 and 5, reports on specific motion quantities for tilting trains and their relations to motions known to cause motion sickness in laboratories. This part ends up with conclusions based on the literature and the analyses made.
A simple and accurate onset detection method for a measured bell-shaped speed profi le

Motor control neuroscientists measure limb trajectories and extract the onset of the movement for a variety of purposes. Such trajectories are often aligned relative to the onset of individual movement before the features of that movement are extracted and their properties are inspected. Onset detection is performed either manually or automatically, typically by selecting a velocity threshold. Here, we present a simple onset detection algorithm that is more accurate than the conventional velocity threshold technique. The proposed method is based on a simple regression and follows the minimum acceleration with constraints model, in which the initial phase of the bell-shaped movement is modeled by a cubic power of the time. We demonstrate the performance of the suggested method and compare it to the velocity threshold technique and to manual onset detection by a group of motor control experts. The database for this comparison consists of simulated minimum jerk trajectories and recorded reaching movements.
A First-Principles Study of 11-Cis-Retinal: Modelling the Chromophore-Protein Interaction In Rhodopsin

The 11- cis -retinal protonated Schiff base is the chromophore of rhodopsin, the photoreceptor in the vertebrate eye. The photochemical isomerization from 11- cis to the all- trans form triggers a series of enzymatic reactions known as the visual cascade which eventually leads to a neural signal. Experiments such as resonance Raman, NMR etc., have shown that 11- cis -retinal is probably highly twisted in the protein pocket. Because detailed knowledge about the kind of interaction with the protein is missing, a theoretical description of the chromophore conformation is difficult. In the simulations the results of which will be presented here, we assume that the retinal chromophore, as a consequence of the steric fit into the protein binding pocket, undergoes a specific kind of conformational change.The structure we obtain is in good agreement with the experimentally observed highly twisted conformation of the chromophore backbone.
A Topology Control Algorithm to Balance Energy Consumption in Wireless Sensor Network

In wireless sensor networks, energy consumption of nodes is the most direct factor to influence the lifetime of whole network. Considering the distance between nodes and the residual energy comprehensively, we have proposed a balanced minimum energy consumption topology control algorithm (BMEC). According to the residual energy, each node chooses its parent to minimize the energy consumption on communicating path. Thus, the problem that some sensors died ahead of schedule because of forwarding data is effectively avoided. Results of simulation experiments have showed that this algorithm could not only guarantee network connectivity, but also have several nice characters such as low radio interference, low average power consuming, balanced energy consumption of whole network, and so on.
Notch2 and Notch3 Function Together to Regulate Vascular Smooth Muscle Development

Notch signaling has been implicated in the regulation of smooth muscle differentiation, but the precise role of Notch receptors is ill defined. Although Notch3 receptor expression is high in smooth muscle, Notch3 mutant mice are viable and display only mild defects in vascular patterning and smooth muscle differentiation. Notch2 is also expressed in smooth muscle and Notch2 mutant mice show cardiovascular abnormalities indicative of smooth muscle defects. Together, these findings infer that Notch2 and Notch3 act together to govern vascular development and smooth muscle differentiation. To address this hypothesis, we characterized the phenotype of mice with a combined deficiency in Notch2 and Notch3. Our results show that when Notch2 and Notch3 genes are simultaneously disrupted, mice die in utero at mid-gestation due to severe vascular abnormalities. Assembly of the vascular network occurs normally as assessed by Pecam1 expression, however smooth muscle cells surrounding the vessels are grossly deficient leading to vascular collapse. In vitro analysis show that both Notch2 and Notch3 robustly activate smooth muscle differentiation genes, and Notch3, but not Notch2 is a target of Notch signaling. These data highlight the combined actions of the Notch receptors in the regulation of vascular development, and suggest that while these receptors exhibit compensatory roles in smooth muscle, their functions are not entirely overlapping.
A Proposed Approach with Analysis of Speech Signals for Sentiment Detection

In last few decades Sentiment Analysis is one of the most researched area in the field of Speech Recognition. Different methods like use of textual data, face expressions, voice signals, body movements and physiological signals were adopted for sentiment detection. Presented paper discuss about emotions/Sentiment and proposed an approach for analyzing these sentiment based on speech signals of an individual. Paper proposed an approach for extracting speech signals produced by an individual and also provides some results which show variation in pitch and time of an individual's voice during different emotions. Signals were produced by different individual in different sentiment/moods. Signals are being analyzed using different tools which helps in generating graphs for different signals. This paper discuss about three basic sentiment/emotions were observed in this paper i.e. Angry, sad and neutral (relaxed). The data collected from every individual i.e. From both male and female with different age range.
Impact of Gamification on Student Engagement in Graduate Medical Studies

Impact of Gamification on Student Engagement in Graduate Medical Studies by Ralai Andriamiarisoa MS, Andrews University, 2000 Doctoral Study Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Education Walden University June 2018 Abstract Rapid technological advances have created major societal changes, transformed businessRapid technological advances have created major societal changes, transformed business sectors, and revolutionized enterprises. In contrast, the curricular structure of medical education has remained unchanged for the last 100 years, and, for the most part, medical education has been reluctant to embrace the use of technology. The prevalent pedagogical model is reliant on rote memorization. The conceptual framework that informed this study was the user-centered framework for meaningful gamification. This quantitative study focused on key research questions related to identifying whether significant increases occurred over time in cooperative learning, cognitive level, and personal skills—the dependent variables—when using a gamified learning method—the independent variable. The validated Student Engagement Survey was used to collect data from second-year medical students in a Southern California medical school, with N = 64. A repeated measures MANOVA with follow-up univariate ANOVAs was used, and statistical results indicated that there were significant differences over time in cooperative learning, cognitive level, and personal skills when using gamified learning methods. This research was conducted over a period of 3 months, divided into 3 Time Periods (TP). For all three variables, significant increases were noticed between TP 1 and TP 2, followed by significant decreases between TP 2 and TP 3. These findings pointed to the fact that more studies are needed to better understand whether certain types of gamification implementations are detrimental to student engagement in medical education, or whether more sound design principles ought to be explored to produce effective gamified learning components that could positively impact student engagement in medical education. Impact of Gamification on Student Engagement in Graduate Medical Studies by Ralai Andriamiarisoa MS, Andrews University, 2000 Doctoral Study Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Education Walden University June 2018 Dedication To the three most beautiful and wonderful women in my life: Kimberly, my wife and the love of my life—I am grateful for the sparkle of joy that she brings to my life; Sonia and Soraya, my most precious daughters whom I am so proud of and whom I deeply cherish and love. Acknowledgments I would like to thank Dr. Mary Ramirez, Dr. Steve Butler, and Dr. Markus Berndt for serving on my committee and for providing invaluable advice and guidance during the doctoral research process.
Flipped Classroom in an Orthopaedic Assessment Course: Students' Perspective

The flipped classroom, moving lecture outside class time and homework to the classroom, has been researched widely across many disciplines. Athletic training education has little research investigating this pedagogical approach.To explore students' perceptions of a flipped orthopaedic assessment course.Qualitative study using a phenomenological approach.Focus group interviews with undergraduate students enrolled in an orthopaedic assessment course.Students (N = 15) enrolled in either the Physical Exam of the Lower Extremities in Athletic Training or the Physical Exam of the Upper Extremities in Athletic Training course participated in a focus-group interview in January or April 2016.Focus group interviews were conducted with a structured interview protocol. Interview data were analyzed inductively to uncover dominant themes by first organizing the data, then summarizing it into codes, and finally interpreting. Credibility was secured through member checking, triangulation, and investigator triangulation.Themes indicated that participants in a flipped classroom found that this pedagogical practice was helpful, allowed for repetition, initially created more work, and was self-paced.Evidence demonstrated that the flipped classroom for this orthopaedic assessment course was favorably received by the participants.
Reformulation with Expressive Ontologies and Databases

We study a general framework for query rewriting in the presence of an arbitrary first-order logic ontology over a database signature. The framework supports deciding the existence of a safe-range first-order equivalent reformulation of a query in terms of the database signature, and if so, it provides an effective approach to construct the reformulation based on interpolation using standard theorem proving techniques (e.g., tableau). Since the reformulation is a safe-range formula, it is effectively executable as an SQL query. At the end, we present an application of the framework with SHOQ ontologies.
Computation of the permeability of textiles

For the manufacturing of composite materials with textile reinforcement, the permeability of the textile is a key characteristic. Using the law of Darcy, permeability can be derived from a numerical simulation of the fluid flow, i.e. by solving the Navier-Stokes or Brinkman equations. In this report we present the results of simulations with two different flow solvers: a finite difference NavierStokes/Brinkman solver and a lattice Boltzmann solver. The results are validated with theory and experimental data. AMS(MOS) Classification : Primary : 76S05 Computation of the permeability of textiles B. Verleye, M. Klitz, R. Croce, D. Roose, S.V. Lomov, and I. Verpoest 1 Dept. Computer Science, K.U. Leuven bart.verleye@cs.kuleuven. be 2 Inst. for Numerical Simulation, Universität Bonn croce@ins.uni-bonn.de 3 Dept. Metallurgy and Materials Eng., K.U. Leuven stepan.lomov@mtm.kuleuven. be Summary. For the manufacturing of composite materials with textile reinforcement, the permeability of the textile is a key characteristic. Using the law of Darcy, permeability can be derived from a numerical simulation of the fluid flow, i.e. by solving the Navier-Stokes or Brinkman equations. In this paper we present the results of simulations with two different flow solvers: a finite difference NavierStokes/Brinkman solver and a lattice Boltzmann solver. The results are validated with theory and experimental data.
Location-Aware Combinatorial Key Management Scheme for Clustered Sensor Networks

Recent advances in wireless sensor networks (WSNs) are fueling the interest in their application in a wide variety of sensitive settings such as battlefield surveillance, border control, and infrastructure protection. Data confidentiality and authenticity are critical in these settings. However, the wireless connectivity, the absence of physical protection, the close interaction between WSNs and their physical environment, and the unattended deployment of WSNs make them highly vulnerable to node capture as well as a wide range of network-level attacks. Moreover, the constrained energy, memory, and computational capabilities of the employed sensor nodes limit the adoption of security solutions designed for wire-line and wireless networks. In this paper, we focus on the management of encryption keys in large-scale clustered WSNs. We propose a novel distributed key management scheme based on exclusion basis systems (EBS); a combinatorial formulation of the group key management problem. Our scheme is termed SHELL because it is scalable, hierarchical, efficient, location-aware, and light-weight. Unlike most existing key management schemes for WSNs, SHELL supports rekeying and, thus, enhances network security and survivability against node capture. SHELL distributes key management functionality among multiple nodes and minimizes the memory and energy consumption through trading off the number of keys and rekeying messages. In addition, SHELL employs a novel key assignment scheme that reduces the potential of collusion among compromised sensor nodes by factoring the geographic location of nodes in key assignment. Simulation results demonstrate that SHELL significantly boosts the network resilience to attacks while conservatively consuming nodes' resources
Positive vs . Negative Online Buzz as Leading Indicators of Daily Price Fluctuation

Online buzz describes the quality of products in a positive or negative way, but we do not know if and how such customers’ quality perceptions, often referred to as “e-sentiment,” influence the products’ market value. This paper investigates the relationship between esentiment and the market price fluctuation in a high-technology category, MP3 players. Econometric time-series modeling reveals that e-sentiment is a leading indicator of brands’ daily price fluctuation. Furthermore, the effect is moderated by customers’ expectation level: negative online buzz has a stronger adverse impact for well-known brands and high-ticket items, and positive online buzz has a greater beneficial effect on lesser-known brands and low-priced items. These findings establish the predictive relevance of e-sentiment information and suggest that e-retailers should monitor e-sentiment surrounding high-tech products since today’s customers’ quality perceptions is a signal of change in their profitability in the near future, i.e., within next 1-2 days.
Making discriminative common vectors applicable to face recognition with one training image per person

Though discriminant common vector (DCV) method has obtained some success in face recognition task, it fails when only one training image per person is available. In this paper, we propose an approach to make DCV method applicable when each person has one training image. Our approach is based on the assumption that human faces share similar intrapersonal variation. The intrapersonal variation of the training set can be estimated from the collected generic face set. The proposed method was compared with PCA, E(PC)2A and SVD perturbation algorithm, and experimental results on the subset of FERET face database show the promising performance of the proposed method.
Integratating Robotic Technologies with Javabots What's Holding Back Robotics Research?

Mobile robotics research advances through developments in theory, and implementation in hardware and software. While theory is important, this article is primarily concerned with hardware and software technologies. It is our view that signiicant strides in robot performance can be made just by combining existing hardware and software tools. Thus the focus of this paper is answering the question: how can we more easily integrate robotic technologies? The typical research robot is a hodge-podge of sensor and actuator components from several vendors integrated in a common computing resource. Control system software accesses hardware through software APIs provided by the hardware developers, and \soft technologies" through their associated APIs. The focal point of integration is therefore the control system software. The problem with most control system implementations , from the standpoint of reusability and integration , is their committment to a robot platform and/or robot architecture. It is rather diicult for instance, to move a proven control system from one robot to another, because the APIs for sensing, steering and motor commands are often quite diierent in syntax and semantics on diierent robot hardware. Portabil-ity problems may extend to the software components of robotic systems as well: extracting the path planner from a robotic system, for example, is just as challenging as porting a control system. Therefore, to advance intelligent mobile robotics in the \Next Leap", we must emphasize integration of technologies from the multiple sub-areas of our eld. We should build systems by integrating, rather than re-inventing technology. Software frameworks for combining behavior, learning, planning, sensing and actu-ation should be inclusive rather than constrained to a particular robot architecture or hardware platform. We argue that the most eeective approach is through standardized interfaces (APIs) to robotic hardware and soft technologies (e.g. path planning toolkits). Jav-aBots is an example framework that provides this kind of integration in simulation and on robot hardware. A high-level common interface to sensors and actua-tors allows control systems to run on multiple simulated and real hardware platforms. Conversely, Jav-aBots supports the evaluation of competing control systems on the same hardware. In the rest of this article we brieey describe JavaBots, and provide examples of robot systems built using it. JavaBots JavaBots is a new system for developing and executing control systems on mobile robots and in simulation. Individual and multi-robot simulations are supported (including multiple robot types in the same simulation). The JavaBot system's modular design …
Role of Visual Cues from the Environment in Driving an Agricultural Vehicle

Driving is an interactive process in which the driver receives information regarding the state of the vehicle and the environment in which the vehicle is moving through visual, motion, haptic and auditory cues. The driver needs this in- formation for successful guidance or navigation of the vehicle. A good understanding of this process requires knowledge of the sensory cues used by the driver in performing different driving tasks. This knowledge is also necessary in the de- velopment of driving simulators which are emerging as useful research tools. The goal of this research was to test whether drivers of agricultural vehicles use visual cues from the environment when performing common driving tasks such as par- allel swathing and simple turning maneuvers. Experiments were performed using a tractor in the field and using a tractor driving simulator in the laboratory. The results show that in straight line driving with a lightbar guidance system, the steering behavior and performance of most drivers does not change with varying level of visual information from the en- vironment. However, it seemed that approximately 33% of the subjects in our experiment used an aiming cue on the field boundary, when available. Visual cues from the environment played a significant role in maneuvers which included more than one phase of steering input. Drivers were able to successfully complete those maneuvers that consisted of only one phase of steering input, such as turns, even when complete visual cues from the environment were not provided. However, maneuvers which required multiple phases of steering input could not be completed when the visual information from the environment was incomplete. A driving simulator for agricultural vehicles, therefore, should include these cues. Also, cabs of agricultural vehicles should be designed in such a way that these features can be easily seen by the operator.