Miracle-dz/UniFAR-FTUs huggingface dataset:
Speech production and working memory: The influence of cognitive load on sentence planning

lexical advance planning (Experiments 1 – 4) 1 9.2 1.5 6-12 7.9 1.8 5-11 2 9.5 1.4 6-11 7.7 1.7 5-11 3 8.7 1.9 6-12 7.8 1.7 4-12 4 9.2 1.5 6-12 7.8 1.6 4-11 Phonological advance planning (Experiments 5 – 9) 5 9.0 1.8 5-12 7.3 1.9 4-12 6 8.8 1.7 5-12 8.2 2.2 5-12 7 8.4 1.6 6-12 8.3 1.8 5-12 8 9.3 1.9 6-12 7.4 1.6 4-11 9 9.3 2.0 4-12 8.2 1.8 5-12 Materials For the sentence production task, twenty line drawings of simple scenes adapted from Oppermann et al. (2010) were used. Each line drawing depicted a subject performing a simple action on or with an object, e.g., a monk reading a book, and was about 15 × 15 cm in size. During the initial learning phase, the complete subject-verb-object scene was presented, and during the test phase, only the subject was presented to avoid the automatic activation of the context object solely upon visual presentation (cf. Oppermann, Jescheniak, & Schriefers, 2008). For each subject and object, a semantically related distractor was selected (e.g., distractor ‘‘Priester” [priest] for the subject ‘‘Mönch” [monk] or distractor ‘‘Zeitung” [newspaper] for the object ‘‘Buch” [book]). Unrelated control conditions were created by reassigning the distractors to different subjects (for the subject-related distractors) or objects (for the objectrelated distractors); see Appendix A for a complete list of the materials. To rule out the contamination of semantic effects by gender congruency mechanisms (e.g., Schriefers, 1993),
Impact of patient education on health related quality of life of dialysis patients

The Dialysis patients require life time treatments which may cause side effects that impair their quality of life. Studies have shown that when pharmacists were involved in the care of dialysis patients, significant improvements in patients' HRQoL were achieved. This study aimed to assess the impact of patient education on HRQoL of Dialysis patients. This was a prospective, open comparative study. This study was approved by the ethics committee of KIMS Hospital, Bangalore. Patients were kept under observation for a period of one month. We assessed the HRQoL before and after providing them patient education. We provided patient education regarding the disease, medication, storage of medication, OTC drugs, diet, exercise, dressing, emotion sharing, and problems occurring during and after dialysis. The HRQoL of the patients was assessed using SF-36 Questionnaire. After the patient education the improvement in HRQoL of dialysis patients was significant (p<0.05). At the end of study patients had significantly (P<0.05) higher HRQoL score as compared to their scores before receiving patient education. Our study concludes that patient education can play an important role in the improving the HRQoL of patients on Dialysis.
Growing hierarchical self organising map (GHSOM) toolbox: visualisations and enhancements

The Growing Hierarchical Self Organising Map (GHSOM) presents a method of dynamically modeling the data set that is presented. To a certain extent the GHSOM provides a solution to determine the size of the SOM needed, which is done through a growing fashion of neurons. In our development of the GHSOM Toolbox for Matlab presented in this paper, we have discovered that the GHSOM algorithm also provides a visualisation advantage of having the ability of presenting classes and sub-classes of similar data. We also propose two enhancements to the algorithm: (1) Usage of cumulative quantisation errors for better resolution in the growth process and (2) Tidier algorithm for initialisation of sub layer neurons for orientation.
A real time visible surface algorithm

Abstract : With the increasing use of computer graphics, a need is growing for a processor capable of displaying solid objects. Environmental simulation and architectural modeling are only two areas that would benefit from such a display processor. The dissertation describes an algorithm designed for such a processor, and a FORTRAN 5 program for simulating the hardware processor. The hardware processor would be capable of generating pictures of fairly complicated objects at thirty frames per second. Statistics describing its simulated performance have been extracted and are reported within the dissertation.
BALLView: a molecular viewer and modeling tool

Over the last ten years, many molecular modeling software were developed, but most of them offer only limited capabilities or are rather difficult to use. This motivated us to create our own molecular viewer and modeling tool BALLView, based on our biochemical algorithms library BALL. Through its flexible and intuitive interface, BALLView provides a wide range of features in fields of electrostatic potentials, molecular mechanics, and molecular editing. In addition, BALLView is also a powerful molecular viewer with state-ofthe-art graphics: it provides a variety of different models for biomolecular visualization, e.g. ball-and-stick models, molecular surfaces, or ribbon models. Since BALLView features a very intuitive graphical user interface, even inexperienced users have direct access to the full functionality. This makes BALLView particularly useful for teaching. For more advanced users, BALLView is extensible in different ways. First, extension on the level of C++ code is very convenient, since the the underlying code was designed as a modular development framework. Second, an interface to the scripting language Python allows the interactive rapid prototyping of new methods. BALLView is portable and runs on all major platforms (Windows, MacOS X, Linux, most Unix flavors). It is available free of charge under the GNU Public License (GPL) from our website (www.ballview.org).
Discovering Mathematics with Maple: An Interactive Exploration For Mathematicians, Engineers And Econometricians

From the Publisher: This book introduces Maple in a rather special way, namely, it shows how a computer algebra system most naturally fits into a mathematically oriented work environment. "The intended audience is the mixed group of mathematicians, econometricians, engineers and other scientists, principally those who in their chosen discipline need to work with mathematical ideas and techniques.
A data Grid prototype for distributed data production in CMS

The CMS experiment at CERN is setting up a Grid infrastructure required to fulfill the needs imposed by Terabyte scale productions for the next few years. The goal is to automate the production and at the same time allow the users to interact with the system, if required, to make decisions which would optimize performance. We present the architecture, design and functionality of our first working Objectivity file replication prototype. The middle-ware of choice is the Globus toolkit that provides promising functionality. Our results prove the ability of the Globus toolkit to be used as an underlying technology for a world-wide Data Grid. The required data management functionality includes high speed file transfers, secure access to remote files, selection and synchronization of replicas and managing the meta information. The whole system is expected to be flexible enough to incorporate site specific policies. The data management granularity is the file rather than the object level. The first prototype is currently in use for the High Level Trigger (HLT) production (autumn 2000). Owing to these efforts, CMS is one of the pioneers to use the Data Grid functionality in a running production system. The project can be viewed as an evaluator of different strategies, a test for the capabilities of middle-ware tools and a provider of basic Grid functionalities.
Big Java: Early Objects

This book introduces programmers to objects at a gradual pace. Optional example modules are includedusing Alice and Greenfoot. The examples feature annotations with dos and don'ts along with cross references to more detailed explanations in the text. New tables show a large number of typical and cautionary examples. New programming and review problems are also presented that ensure a broad coverage of topics. Cay will alsoadd sections on problem solving, and a new, more approachable and visual design developed for JfE and BJLO is used.
Patterns Relevant to the Temporal Data-Context of an Alarm of Interest

The productivity of chemical plants and petroleum refineries depends on the performance of alarm systems. Alarm history collected from distributed control systems (DCS) provides useful information about past plant alarm system performance. However, the discovery of patterns and relationships from such data can be very difficult and costly. Due to various factors such as a high volume of alarm data (especially during plant upsets), huge amounts of nuisance alarms, and very large numbers of individual alarm tags, manual identification and analysis of alarm logs is usually a labor-intensive and time-consuming task. This chapter describes a data mining approach for analyzing alarm logs in a chemical plant. The main idea of the approach is to investigate dependencies between alarms effectively by considering the temporal context and time intervals between different alarm types, and then employing a data mining technique capable of discovering patterns associated with these time intervals. A prototype has been implemented to allow an active exploration of the alarm grouping data space relevant to the tags of interest. DOI: 10.4018/978-1-60566-908-3.ch002
ADAPTIVE, MULTI-OBJECTIVE JOB SHOP SCHEDULING USING GENETIC ALGORITHMS

OF THESIS ADAPTIVE, MULTI-OBJECTIVE JOB SHOP SCHEDULING USING GENETIC ALGORITHMS This research proposes a method to solve the adaptive, multi-objective job shop scheduling problem. Adaptive scheduling is necessary to deal with internal and external disruptions faced in real life manufacturing environments. Minimizing the mean tardiness for jobs to effectively meet customer due date requirements and minimizing mean flow time to reduce the lead time jobs spend in the system are optimized simultaneously. An asexual reproduction genetic algorithm with multiple mutation strategies is developed to solve the multi-objective optimization problem. The model is tested for single day and multi-day adaptive scheduling. Results are compared with those available in the literature for standard problems and using priority dispatching rules. The findings indicate that the genetic algorithm model can find good solutions within short computational time.
The risk of bleeding with anticoagulant treatments

Summary Anticoagulant treatments are given to prevent and/or treat thrombotic complications in many clinical conditions, including atrial fibrillation (the most frequent indication for anticoagulant treatment), venous thromboembolism, acute coronary syndromes and after invasive cardiac procedures. Anticoagulation with vitamin K antagonists (VKAs) is currently almost the unique kind of therapy for chronic anticoagulation. It is highly effective in the prevention or treatment of thrombotic events but it is associated with a non negligible risk of bleeding, that is the most important complication of this therapy and a major concern for both physicians and patients. The risk of bleeding and the difficulties for the patients and health care providers associated with the necessary correct management of this treatment are limiting factors for a more widespread prescription of the treatment, leaving without an effective therapy a significant proportion of patients who would have a clear clinical indication for chronic anticoagulation. This review analyses the treatment- and person-associated risk factors for bleeding during VKAs and the tools that have been proposed to assess the individual risk of bleeding. New oral anticoagulant drugs seem to overcome at least some of the limitations of VKAs. Potentially, they can allow a less demanding and more stable anticoagulant treatment, with less side-effects allowing that more patients can receive an appropriate anticoagulant treatment. Based on the so far available phase III clinical studies, it is possible to assume that also these new drugs are associated with a risk of bleeding, that is probably related to the intensity of treatment.
Synthesis of fixed order controllers with robustness to mixed real/complex uncertainties

iii ACKNOWLEDGEMENTS Many thoughts went through my mind as I compiled the work of the past four years to write this dissertation. Most of all, thoughts about the people who helped me to achieve this goal. I w ould like to thank my advisor, Dr. Anthony J. Calise, for his guidance and support in this eeort. His door was always open for me, and his knowledge and patience helped me overcome the most diicult obstacles. The persons whom I owe everything are my p a r e n ts, Richard and Marianne Buschek. Though having been far apart, they were always my greatest support. I would also like to thank my aunt, Bertl Hall, and Frank and his family, they gave me a home in a foreign country. providing a test version of his mixed software. In terms of moral support, I would like to thank all the friends I have made while being at Georgia Tech. One person, in particular, had a signiicant c o n tribu-tion to my success: Fabienne Elles. Her help and understanding was very important to me. Three close friends that I made over the past years and several cups of cooee are Martin Stettner, Peter RR ohl and Carlos Cesnik. We shared ups and downs and iv could always count o n e a c h other. And, last but deenitely not least, there is Mark Whorton from NASA Marshall Space Flight Center. Our common discovery of the \Homotopy: Baby Steps to Success"-principle won't make us famous, but it did make us friends.
Paragen: a novel technique for the autoparallelisation of sequential programs using GP

The Paragen system is a new technique for the automatic conversion of sequential programs into functionally equivalent parallel programs. This technique utilizes GP to generate a highly parallel program from an original sequential program, while preserving functionality. We show that a genetic search avoids the complexities introduced by standard data dependency techniques and can also introduce further efficiencies by automatically reordering program statements. This paper gives a brief introduction to the problem of autoparallelisation followed by a discussion of the design and implementation issues of the system. Results demonstrate the effectiveness of the Paragen system by the automatic conversion of a number of complex program segments.
Network Time Protocol (Version 3) Specification, Implementation

This document describes the Network Time Protocol (NTP), specifies itsformal structure and summarizes information useful for itsimplementation. NTP provides the mechanisms to synchronize time andcoordinate time distribution in a large, diverse internet operating atrates from mundane to lightwave. It uses a returnable-time design inwhich a distributed subnet of time servers operating in a self-organizing, hierarchical-master-slave configuration synchronizes localclocks within the subnet and to national time standards via wire orradio. The servers can also redistribute reference time via localrouting algorithms and time daemons.
Adaptive user support: ergonomic design of manually and automatically adaptable software

Contents: R. Oppermann, Introduction. R Oppermann, H. Simm, Adaptability: User-Initiated Individualization. M. Krogsaeter, C. Thomas, Adaptivity: System Initiated Individualization. M. Krogsaeter, R. Oppermann, C. Thomas, A User Interface Integrating Adaptability and Adaptivity. T. Fox, G. Grunst, K-J. Quast, HyPLAN: A Context-Sensitive Hypermedia Help System. M. Paetau, Configurative Technology: Adaptation to Social Systems Dynamism.
How People with Low and High Graph Literacy Process Health Graphs: Evidence from Eye‐tracking

Graphs facilitate the communication of important quantitative information, often serving as effective decision support tools. Yet, graphs are not equally useful for all individuals, as people differ substantially in their graph literacy—the ability to understand graphically presented information. Although some features of graphs can be interpreted using spatial-to-conceptual mappings that can be established by adults and children with no graphing experience (e.g., “higher bars equal larger quantities”), other features are linked to arbitrary graph conventions (e.g., axes labels and scales). In two experiments, we examined differences in the processes underlying the comprehension of graphs presenting medical information in individuals with low and high graph literacy. Participants' eye movements were recorded while they interpreted graphs in which information in conventional features was incongruent with that conveyed by spatial features. Results revealed that participants with low graph literacy more often relied on misleading spatial-to-conceptual mappings and misinterpreted the data depicted. Higher graph literacy was often associated with more time spent viewing the conventional features containing essential information for accurate interpretations. This suggests that individuals with high graph literacy are better able to identify the task-relevant information in graphs, and thus attend to the relevant features to a larger extent. Theoretical, methodological, and prescriptive implications for customization of decision-support systems are discussed.
Semi-global stabilizability of linear null controllable systems with input nonlinearities

An H/sub /spl infin//-based Lyapunov proof is provided for a result recently established by Lin and Saberi (1993): if a linear system is asymptotically null controllable with bounded controls then, subject to input saturation, it is semi-globally stabilizable by linear state feedback. A new result is that, if the system is detectable, it is semi-global stabilizable by completely linear output feedback. Further, an extension which relaxes the requirements on the input characteristic is obtained.
On the Relationship between Personal Photographs and Individual Memory

Abstract At the beginning of Marguerite Duras's fictionalized memoir, The Lover, the narrator introduces us to her self-in-the-past via the perfecdy realized image of a photograph that was never taken. This imagined photograph is of her fifteenyear- old self on a boat journey back to the boarding school in Saigon, a thin child wearing a fedora hat, a threadbare silk dress, and ‘the famous pair of gold lame high heels’.
A mathematical model of retrieval system performance.

There have been a number of major evaluations of the performance of retrieval systems against large full text and surrogate (bibliographic) databases. These evaluations have concentrated on the experimental determination of the Precision Ratio, the fraction of retrieved items that are relevant to an information request, and the Recall Ratio, the fraction of the total number of relevant items that were actually retrieved. While these measures have met with general acceptance, they have also generated much controversy. The purpose of this article is to review the results of several of the largest evaluations and to propose a simple model for the performance of such systems that may help explain the relationship between these measures and user behavior. © 1990 John Wiley & Sons, Inc.
Reconstructing the problem of galloping monitoring of traditional complex analytical mechanism into a prediction method for machine learning algorithm modeling

To avoid a series of shortcomings of the traditional complex analytical mechanism, this paper selects the algorithm suitable for the transmission line galloping prediction model according to the characteristics of the traverse movement and the characteristics of the related galloping history data. After mining effective information from the selected and preprocessed data, the one class SVM algorithm is used to carry out unsupervised learning of the galloping history data. The Bagging algorithm is used in the ensemble learning algorithm to learn the classifier, avoiding the over fitting, and improving the anti-noise ability of the machine learning algorithm and the noise ability of the machine learning algorithm. The generalization ability, using the K folding cross validation method to verify the data of the galloping monitoring platform of the China Electric Power Research Institute, and using Fl-score to describe the performance of the traverse galloping early warning model, and verify the effectiveness of the machine learning method used in this paper in the aspect of galloping prediction.
Metal surface defect detection based on MATLAB

For the detection of surface defects in the production of metal, this article mainly focuses on the detection of surface defects in more spoons that we use in our restaurants. Due to the fact that the defects on the surface cannot be detected with the naked eye, a surface defect detection system for spoons based on MATLAB is proposed. The image acquisition module and the image processing software design module are used to identify and detect surface defects of the spoon, and the detection efficiency is high, good real-time performance. For the defect of the spoon surface, irregular shape and other characteristics, the edge detection algorithm and the description method of texture features were proposed to realize the accurate detection of defect features.
Assessment of Energy Storage Systems Installation in Smart Distribution Networks

Energy Storage Systems increase flexibility in smart distribution networks by providing several services to the Distribution System Operators (DSOs). The new role explicitly attributed to DSOs by the European Commission legislative proposals (Clean Energy Package) and then by the national regulations drives the researches about the assessment of economic efficiency of installing DSO-managed energy storages. The paper describes a cost-benefit analysis for energy storages systems owned and managed by DSOs. Both medium and low voltage distribution networks have been taken into account and the final results are easily generalizable.
Anomaly Detection of Railway Catenary Based on Deep Convolutional Generative Adversarial Networks

In the image-based detection of catenary anomalies, detection of bird's nest anomalies is a typical situation. However, the image data containing the nests is only a small portion of total data, which makes nest detection a typical problem of imbalanced data classification. For using machine learning algorithm to solve imbalanced data classification, the learning ability of data features is of much importance. The generative adversarial networks (GANs) can learn prosperous data features from unlabeled data, which has been widely confirmed and applied. In this paper, GANs is used to detect the bird's nest anomalies, which achieved a higher accuracy compared with the traditional method based on feature extraction.
Investigation of a New Modular Multilevel Converter With DC Fault Blocking Capability

Modular multilevel converter (MMC) has been a promising candidate in high voltage direct current (HVdc) transmission systems. Due to the features of simple structure, low cost, and low power losses, half-bridge (HB) is usually adopted as the submodule circuit in the traditional MMC. However, an HB submodule circuit-based MMC does not have the capability of blocking dc short-circuit fault, which obstructs the development of low-cost HVdc systems with overhead lines. In order to solve this problem, an MMC with active clamped T-type submodule (ACTSM) to own dc fault blocking capability is proposed in this paper. Compared with other submodule circuits, the proposed ACTSM has many features, such as symmetrical blocking capability, low power losses, low voltage stress, and low amount of independent drive signals. The topology, operation principle, dc fault blocking capability, and distribution of power losses of the ACTSM are presented in this paper. The effectiveness of the ACTSM-based MMC is validated by both simulations and experiments.