Miracle-dz/UniFAR-FTUs huggingface dataset:
A Mesh Feature Paradigm for Rapid Generation of CAE-Based Design of Experiments Data

CAE-Based simulation and Design of Experiments (DoE) are becoming mature and increasingly effective in development of complex industrial products such as automobiles. We present in this paper a CAE mesh-modeling paradigm that ultimately led to fast, automatic generation of a family of meshes based on a base design. This paradigm is hinged on the so-called mesh features to achieve productivity for modeling CAE meshes. Mesh features are self-contained mesh deformation operations that are context-free, stored separately from the base model, and can be applied to the model in a proper mix at any time. Libraries of mesh features can also be established to archive useful features for future use. Furthermore, by assigning mesh features for DoE factors, one can specify for the system the proper way to assemble features and apply them automatically to the base model to generate input meshes for a DoE study. Automatic generation of a family of DoE input meshes results in maximum time savings and minimum chances for errors, especially for applications involving large-scale CAE models.Copyright © 2002 by ASME
Adaptive multicast routing in broadband networks

In this paper, we study the multicast routing problem in broadband networks. The multicast routing problem, also known as the Steiner tree problem, has been well studied in the literature. However, less attention has been made for the definition of link costs and evaluating the performance of multicast routing algorithm from the network revenue point of view. Therefore, in this paper, we examined three approaches for defining link costs, namely, the Markov Decision Process-based (MDP), the Competitive On-Line (COL) routing-based and the linear-based approaches. Two heuristic multicast algorithms, TMR and MSPF. were developed for investigating the performance of these approaches. We proposed a new performance metric, referred to as the fractional reward loss, to evaluate the multicast routing algorithm. Performance of the multicast algorithms under different link cost functions was evaluated via simulations on a 20-node random graph. Our simulation results indicated that the way of defining link costs affects the performance of the multicast routing algorithms significantly and the best performance is yielded when using the MDP-based link costs.
Basics of floating-gate low-dropout voltage regulators

This paper presents an overview of series voltage regulators, beginning with single-transistor designs and exploring the various design issues and concepts. The regulating characteristics of nFET and pFET single-transistor regulators are compared analytically and experimentally to determine an optimal starting topology. The design of these simple regulators is taken a step further by applying floating-gate techniques to improve the flexibility of the existing design and the ability to customize the regulator bias points.
US Renal Data System 2011 Annual Data Report

Allan J. Collins, MD, Robert N. Foley, MB, Blanche Chavers, MD, David Gilbertson, PhD, Charles Herzog, MD, Kirsten Johansen, MD, Bertram Kasiske, MD, Nancy Kutner, PhD, Jiannong Liu, PhD, Wendy St. Peter, PharmD, Haifeng Guo, Sally Gustafson, MS, Brooke Heubner, MS, Kenneth Lamb, PhD, Shuling Li, MS, Suying Li, PhD, Yi Peng, MS, Yang Qiu, MS, Tricia Roberts, MS, Melissa Skeans, MS, Jon Snyder, PhD, Craig Solid, MS, Bryn Thompson, BA, Changchun Wang, MS, Eric Weinhandl, MS, David Zaun, MS, Cheryl Arko, BA, Shu-Cheng Chen, MS, Frank Daniels, BS, James Ebben, BS, Eric Frazier, BS, Christopher Hanzlik, BS, Roger Johnson, Daniel Sheets, BS, Xinyue Wang, BA/BS, Beth Forrest, BBA, Edward Constantini, MA, Susan Everson, PhD, Paul Eggers, PhD, and Lawrence Agodoa, MD
On Semantic Graph Language Processing for Mobile Robot Voice Interaction

This paper describes a simple semantic graph based model for processing natural language commands issued to a mobile robot. The proposed model is intended for translating natural language commands given by naïve users into an action or sequence of actions that the robot can execute via its available functionality, in order to complete the commands. This approach to language processing is easily extensible through automated learning, it also is simpler and more scalable than hard-coded command to action mapping, while also being flexible and covering any number of command formulations that could be generated by a user.
Theory, training and technology: part II

Part I reviewed the major theories of learning and instruction which have influenced the design of recent computer‐based systems to support education and training. Part II outlines the systems developed on the basis of these theories. Successful systems are limited currently to classes of learning task which are well structured. Argues that less well‐structured tasks demand a different approach to training and are best served by technology designed to support collaborative learning in small groups. Outlines some practical limits on the creation and exploitation of technology. Discusses implications for future developments of technological aids to training and training research.
Enhancing internet experience of visually impaired persons by means of dynamic highlighting and selective reading

This paper proposes a research-based tool to assist visually impaired persons (VIPs) in using the Internet via screen readers. The proposed tool is inspired by research on modeling web use and model-based highlighting. This tool assists VIPs in selecting goal-relevant information on web pages. A computational cognitive model simulates the VIPs’ Internet use. An intelligent agent capable of dynamic highlighting and selective reading based on efficient machine learning algorithms runs alongside the (simulated) user. The agent learns from interacting with the cognitive model and the information space. This agent is implemented in an adaptive interface that takes, expands and updates a user goal, finds goal-relevant information and suggests it to the (simulated) user in an appropriate way. The proposed tool could be applied in situations that require handling information overload with limited perceptive and cognitive capabilities.
MES classification using artificial neural networks and chaos theory

Investigations into the nonlinear dynamics of biological signals have revealed that many biological signals, once thought to be stochastic, are in fact chaotic. Poincare sections are used in the study of nonlinear dynamics for the analysis and characterization of attractors in chaotic signals. This paper outlines a method that classifies myoelectric signals (MESs) based on their Poincare sections with the aid of an artificial neural network. Results are presented that have immediate application to a five-state prosthetic control system which is based on biceps brachii action alone. A short discussion follows on its potential for automating myopathy diagnosis.
Measuring Model of Cylindrical Workpiece

Objective: The three-dimensional reconstruction method based on vision uses the digital camera as the image sensor. Establishing the model of a dynamic measured object is the premise of the vision precise measuring system. Methods: By using the pinhole camera model and the mathematical modeling method, the three-dimensional reconstruction of the measured part can be completed quickly based on the known measured objects. The corresponding relation can be realized accurately and automatically on condition that the object's shape characteristic is known clearly. The algorithm of the threedimensional measuring model of cylindrical workpiece can be established conveniently. Results: The algorithms are verified by simulation with Solidworks and Matlab. The correctness of the algorithm is validated by actual experiment and the absolute error is less than 0.015mm or the relative error is less than 0.1%. Conclusion: The measuring results are accurate enough to satisfy the practical requirement of fast and precise measuring in industrial field. Keywordscylindrical workpiece;vision measuring; camera model; mathematical modeling; three-dimensional measuring
Usability study of a federated search product at Punjab University

Purpose – The purpose of this paper is to evaluate the usability of the Electronic Library Information Navigator (ELIN), the federated search product used by the University of the Punjab (PU) and other Higher Education Commission‐recognized institutions in Pakistan for the effective use of expensive electronic resources.Design/methodology/approach – Two usability tests were conducted.Findings – Overall, participants performed the required tasks and found ELIN to be a useful tool for searching. They did, however, have some technical limitations and faced difficulties with the choice of search options and were frustrated by the display of results. Full text availability and relevancy of subject results were mentioned as major problems. The majority of users did not complete the questions requesting suggestions for improvement of the web site.Originality/value – This study provides a baseline for further user studies in higher education institutions. It is recommended that including audio might enhance searc.
Mobile Ground-Based Radar Sensor for Localization and Mapping: An Evaluation of two Approaches

This paper is concerned with robotic applications using a ground-based radar sensor for simultaneous localization and mapping problems. In mobile robotics, radar technology is interesting because of its long range and the robustness of radar waves to atmospheric conditions, making these sensors well-suited for extended outdoor robotic applications. Two localization and mapping approaches using data obtained from a 360° field of view microwave radar sensor are presented and compared. The first method is a trajectory-oriented simultaneous localization and mapping technique, which makes no landmark assumptions and avoids the data association problem. The estimation of the ego-motion makes use of the Fourier-Mellin transform for registering radar images in a sequence, from which the rotation and translation of the sensor motion can be estimated. The second approach uses the consequence of using a rotating range sensor in high speed robotics. In such a situation, movement combinations create distortions in the collected data. Velocimetry is achieved here by explicitly analysing these measurement distortions. As a result, the trajectory of the vehicle and then the radar map of outdoor environments can be obtained. The evaluation of experimental results obtained by the two methods is presented on real-world data from a vehicle moving at 30 km/h over a 2.5 km course.
Development of a pumping artificial lung

Current mass exchange technology is not suitable for chronic applications - particularly in adult patients. One clinically important example is the absence of an extended pulmonary support system for use in bridge-to-transplant applications. Such a system presents unique and challenging functionality and biocompatibility requirements. A development effort is ongoing at the Universities of Pittsburgh and Maryland to develop a novel, active-mixing, pump-oxygenator as an adult bridge-to-transplant system. The rotating porous impeller simultaneously affects gas exchange and blood pumping. Our goal is a pump-oxygenator containing less than 0.5 m/sup 2/ of total fiber surface area capable of sustaining basal gas exchange rates of 250 ml O/sub 2//min and 200 ml CO/sub 2//min at a blood flow rate of 5 lpm and a device life of 21 days. Prototype devices have demonstrated exceptionally efficient oxygen and carbon dioxide exchange and acceptable blood pumping and biocompatibility characteristics both in vitro and ex vivo in studies up to 5 days in duration.
Pro-active energy management for Wide Area Networks

We present a methodology for achieving energy savings in excess of 30% in Wide Area Networks. The approach applies a limited set of pre-calculated network topology configurations derived via a Genetic Algorithm across the day. The GA determines the minimum set of resources required in order to support a given traffic demand. Information gleaned from SNMP trap messages, triggered by the use of a link utilization threshold, determine when to switch between configurations. The threshold employs moving average smoothing and is discretely readjusted over the course of a daily cycle based on anticipated basal load variations. By exploiting MT-OSPF this approach provides a scalable and flexible means of reconfiguring an infrastructure that avoids routing discontinuities, excessive computational effort and the exchange of considerable volumes of control information.
Dengue Outbreak in Martin County, Florida in 2013

Following a 2013 outbreak of dengue serotype 1 in Martin County, Florida, plasma samples from individuals with suspected dengue illness were tested for serotypespecific neutralization of dengue viruses 1-4. Titers and seroprevalence in these suspected cases from Florida were compared to those from (1) healthy donors from the U.S. and (2) dengue-suspected and dengue-confirmed samples collected from dengue-endemic regions during outbreaks in Puerto Rico in 2010 and Brazil in 2014. By dengue plaque reduction neutralization titer assays, we confirmed that four of the nine suspected individuals from Martin County Florida had been exposed to dengue virus serotype 1, and that these were primary dengue viral infections. Furthermore, primary and secondary dengue viral infections were observed in the Brazilian cohort, and a high incidence of secondary infections was observed in the Puerto Rican samples. Routine serotype-specific surveillance may be needed to continue monitoring establishment of dengue serotype 1 and
Clause Splitting with Conditional Random Fields

In this paper, we present a Conditional Random Fields (CRFs) framework for the Clause Splitting problem. We adapt the CRFs model to this problem in order to use very large sets of arbitrary, overlapping and non-independent features. We also extend N-best list by using the Joint-CRFs (Shi and Wang 2007). In addition, we propose the use of rich linguistic information along with a new bottom-up dynamic algorithm for decoding to split a sentence into clauses. The experiments show that our results are competitive with the state-of-the art results.
Fostering Second Graders' Scientific Explanations: A Beginning Elementary Teacher's Knowledge, Beliefs, and Practice

Teaching science as explanation is fundamental to reform efforts but is challenging for teachers—especially new elementary teachers, for whom the complexities of teaching are compounded by high demands and little classroom experience. Despite these challenges, few studies have characterized the knowledge, beliefs, and instructional practices that support or hinder teachers from engaging their students in building explanations. To address this gap, this study describes the understandings, purposes, goals, practices, and struggles of one third-year elementary teacher with regard to fostering students' explanation construction. Analyses showed that the teacher had multiple understandings of scientific explanations, believed that fostering students' explanations was important for both teachers and students, and enacted instructional practices that provided opportunities for students to develop explanations. However, she did not consistently take up explanation as a goal in her practice, in part because she did not see explanation construction as a strategy for facilitating the development of students' content knowledge or as an educational goal in its own right. These findings inform the field's understanding of teacher knowledge and practice with regard to one crucial scientific practice and have implications for research on teachers and inquiry-oriented science teaching, science teacher education, and curriculum materials development.
Framework for modeling visual printed image quality from the paper perspective

Due to the rise in performance of digital printing, image-based applications are gaining popularity. This creates needs for specifying the quality potential of printers and materials in more detail than before. Both production and end-use standpoints are relevant. This paper gives an overview of an on-going study which has the goal of determining a framework model for the visual quality potential of paper in color image printing. The approach is top-down and it is founded on the concept of a layered network model. The model and its subjective, objective and instrumental measurement layers are discussed. Some preliminary findings are presented. These are based on data from samples obtained by printing natural image contents and simple test fields on a wide range of paper grades by ink-jet in a color managed process. Color profiles were paper specific. Visual mean opinion score data by human observers could be accounted for by two or three dimensions. In the first place these are related to brightness and color brightness. Image content has a marked effect on the dimensions. This underlines the challenges in designing the test images.
Trace Semantics for the Owicki-Gries Theory Integrated with the Progress Logic from UNITY

The theory of Owicki and Gries has been used as a platform for safety-based verifcation and derivation of concurrent programs. It has also been integrated with the progress logic of UNITY which has allowed newer techniques of progress-based verifcation and derivation to be developed. However, a theoretical basis for the integrated theory has thus far been missing. In this paper, we provide a theoretical background for the logic of Owicki and Gries integrated with the logic of progress from UNITY. An operational semantics for the new framework is provided which is used to prove soundness of the progress logic.
Women and Minorities in Engineering

This paper presents factual and estimated data of the representation of women and minorities in the engineering profession based on census data, membership information from technical societies, and student enrollments. The representations for women and minorities in engineering are then evaluated in relation to their position in the total U. S. population. The ethnic minorities include blacks, Spanish-surnamed, Orientals, and Native Americans.
Decentralized load balancing in distributed systems

The grid and cluster computing uses interconnected nodes to solve a problem in parallel in order to improve the response time of the job. Diffusive load balancing algorithms work well when the nodes in the system have the same processing capacity. However, little attention paid in diffusion load balancing techniques, for the nodes with different processing capabilities. In this paper, a load-balancing algorithm using diffusion technique proposed for distributing the load between the nodes by treating the loads as an integer quantity. The proposed load balancing algorithm distributes apportion of excessive workload of a heavily loaded node to a lightly loaded node by considering the node’s processing capacities.
Translating statistical images to text summaries for partially sighted persons on mobile devices: iconic image maps approach

This paper attempts to demonstrate a novel based idea for transforming statistical image data to text using autoassociative and unsupervised artificial neural network and iconic image maps using the shape and texture genetic algorithm, underlying concepts translating the image data to text. Full details of experiments could be assessed at http://www.uel. ac.uk/seis/applications/.
Coherence and text and hypertext

The concept of text coherence was developed for linear text, i.e. text of sequentially organized content. The present article addresses to what extent this concept can be applied to hypertext. Following the introduction, I will define different aspects of text coherence. I will then explain the importance of the sequential order of text constituents for coherence-building, as explored by empirical studies on text comprehension. The following section discusses how hypertext-specific forms of reading affect the processes of coherence-building and coherence-design. Finally, an exploration of how the new challenges of hypertext comprehension may be met by hypertext-specific coherence cues is followed by a summary and an outlook.
The Assessment of Patron-Initiated Collection Development via Interlibrary Loan at a Comprehensive University

Patron-initiated collecting via interlibrary has been examined regularly in the literature over the past decade, with articles examining the topic at public libraries, liberal arts colleges, and large doctoral institutions. This paper examines a patron-initiated collection development program at Grand Valley State University, a comprehensive university with an enrollment of 24,000 students. It compares Grand Valley State University's experiences with those at other types of institutions. The paper also discusses the different models used to assess the success of these programs within the literature and how Grand Valley State University used WorldCat Collection Analysis, circulation statistics, and peer comparisons to assess its program.
Integrating Web 2.0-based informal learning with workplace training

Informal learning takes place in the workplace through connection and collaboration mediated by Web 2.0 applications. However, little research has yet been published that explores informal learning and how to integrate it with workplace training. We aim to address this research gap by developing a conceptual Web 2.0-based workplace learning and training model. The model draws significantly on the theories and research of communities of practice, informal learning, and research on the application of social networking tools to informal learning. Implications of our study for workplace learning and training are discussed from theoretical and practical perspectives. Limitations and areas for future research are identified.
Stretching and jamming of automata

In this paper we present two transformations on automata, called stretching and jamming. These transformations will, under certain conditions, reduce the size of the transition table, and under other conditions reduce the string recognition time. Given a deterministic finite automaton, we can stretch it by transforming each single transition into two or more sequential transitions, thereby introducing additional intermediate states. Jamming is the opposite transformation, in which two or more successive transitions are transformed into a single transition, thereby removing redundant intermediate states.We will present formal definitions of stretching and jamming. We will give algorithms for stretching and jamming and we will calculate theoretical bounds, when stretching/jamming is effective in terms of memory consumption and string recognition time.