Miracle-dz/UniFAR-FTUs huggingface dataset:
Reasoning about history based access control policy using past time operators of interval temporal logic

Interval Temporal Logic (ITL) is a flexible notation for the propositional and firstorder logical reasoning about periods of time that exist in specifications of hardware and software systems. ITL is different from other temporal logics since it can deal with both sequential and parallel composition and provides powerful and extensible specification and verification methods for reasoning about properties such as safety, time projection and liveness. Most imperative programming constructs can be seen as ITL formula that form the basis of an executable framework called Tempura that is used for the development and testing of ITL specifications. ITL has only future operators, but the use of past operators make specifications referring to history more succinct; that is, there are classes of properties that can be expressed by means of much shorter formulas. What is more, statements are easier to express (simplicity) when past operators are included. Moreover, using past operators does not increase the complexity of interval temporal logic regarding the formula size and the simplicity. This thesis introduces past time of interval temporal logic (ITL) where, instead of future time operators Chop, Chopstar, and Skip, we have past operators past Chop, past Chopstar and past Skip. The syntax and semantics of past time ITL are given together with its axiom and proof system. Furthermore, Security Analysis Toolkit for Agents (SANTA) operators such alwaysfollowed-by and the strong version of it has been given history based semantics using past time operators. In order to evaluate past time interval temporal logic, the problem of specification, verification of history based access control policies has been selected. This problem has already been solved using future time of interval temporal logic ITL but the drawback is that policy rules are not succinct and simple. However, the use of past time operators of ITL produces simple and succinct policy rules. The verification technique used to proof the safety property of history based access control policies is adapted for past time ITL to show that past time operators of interval temporal logic can specify and verify a security scenario such as history based access control policy.
Using text semantic similarity approach to check the consistency of UML

It is an important and stimulating issue to discover the inconsistency and incompleteness of the large software system through the UML diagrams. However, the use of temporal logic and model checking techniques to address the problem of UML consistency for developing software systems has received much attention. It is still not applicable and hard mission to specify the different consistency issues of UML. In this paper, we address this problem. We investigate the use of a recent natural language processing technique called Text Semantic Similarity, or Textual Entailment, to improve the consistency and the completeness among various UML diagram.
Chapter 3. European studies on textual scholarship and humanities computing

Ore, Espen S, Harold Short, Donald Broady, Anthea Ballam, Lou Burnard, Elisabeth Burr, Stuart Lee, Lisa Lena Opas & Thomas Rommel (1999), “Chapter 3. European studies on textual scholarship and humanities computing,” pp. 63–88 in: Koenraad de Smedt, et al., Computing in Humanities Education. A European Perspective. SOCRATES/ERASMUS thematic network project on Advanced Computing in the Humanities. Bergen: University of Bergen
Shape Analysis and Measurement for the HeLa cell classification of cultured cells in high throughput screening

Feature extraction by digital image analysis and cell classification is an important task for cell culture automation. In High Throughput Screening (HTS) where thousands of data points are generated and processed at once, features will be extracted and cells will be classified to make a decision whether the cell-culture is going on smoothly or not. The culture is restarted if a problem is detected. In this thesis project HeLa cells, which are human epithelial cancer cells, are selected for the experiment. The purpose is to classify two types of HeLa cells in culture: Cells in cleavage that are round floating cells (stressed or dead cells are also round and floating) and another is, normal growing cells that are attached to the substrate. As the number of cells in cleavage will always be smaller than the number of cells which are growing normally and attached to the substrate, the cell-count of attached cells should be higher than the round cells. There are five different HeLa cell images that are used. For each image, every single cell is obtained by image segmentation and isolation. Different mathematical features are found for each cell. The feature set for this experiment is chosen in such a way that features are robust, discriminative and have good generalisation quality for classification. Almost all the features presented in this thesis are rotation, translation and scale invariant so that they are expected to perform well in discriminating objects or cells by any classification algorithm. There are some new features added which are believed to improve the classification result. The feature set is considerably broad rather than in contrast with the restricted sets which have been used in previous work. These features are used based on a common interface so that the library can be extended and integrated into other applications. These features are fed into a machine learning algorithm called Linear Discriminant Analysis (LDA) for classification. Cells are then classified as ‘Cells attached to the substrate’ or Cell Class A and ‘Cells in cleavage’ or Cell Class B. LDA considers features by leaving and adding shape features for increased performance. On average there is higher than ninety five percent accuracy obtained in the classification result which is validated by visual classification.
ATLAS: Adaptive Text Localization Algorithm in High Color Similarity Background

One of the major problems that occur in text localization process is the issue of color similarity between text and background image. The limitation of localization algorithms due to high color similarity is highlighted in several research papers. Hence, this research focuses towards the improvement of text localizing capability in high color background image similarity by introducing an adaptive text localization algorithm (ATLAS). ATLAS is an edge-based text localization algorithm that consists of two parts. Text-Background Similarity Index (TBSI) being the first part of ATLAS, measures the similarity index of every text region while the second, Multi Adaptive Threshold (MAT), performs multiple adaptive thresholds calculation using size filtration and degree deviation for locating the possible text region. In this research, ATLAS is verified and compared with other localization techniques based on two parameters, localizing strength and precision. The experiment has been implemented and verified using two types of datasets, generated text color spectrum dataset and Document Analysis and Recognition dataset (ICDAR). The result shows ATLAS has significant improvement on localizing strength and slight improvement on precision compared with other localization algorithms in high color text-background image.
Report on the Standardized Description of Instructional Models

Derntl, M. , Neumann, S. , & Oberhuemer, P. (2009). ICOPER Deliverable 3.1 - Report on the Standardized Description of Instructional Models. Vienna: University of Vienna; ICOPER. [contributors: C. Tattersall, D. Verpoorten & R. Klemke]
RAVE: Rapid Visualization Environment

Visualization is used in the process of analyzing large, multidimensional data sets. However, the selection and creation of visualizations that are appropriate for the characteristics of a particular data set and the satisfaction of the analyst's goals is difficult. The process consists of three tasks that are performed iteratively: generate, test, and refine. The performance of these tasks requires the utilization of several types of domain knowledge that data analysts do not often have. Existing visualization systems and frameworks do not adequately support the performance of these tasks. In this paper we present the RApid Visualization Environment (RAVE), a knowledge-based system that interfaces with commercial visualization frameworks and assists a data analyst in quickly and easily generating, testing, and refining visualizations. RAVE was used for the visualization of in situ measurement data captured by spacecraft.
Practical Computing for Biologists

Before You Begin PART I: TEXT FILES Getting Set Up Regular Expressions: Powerful Search & Replace Exploring the Flexibility of Regular Expressions PART II: THE SHELL Command-line Operations: The Shell Handling Text in the Shell Scripting with the Shell PART III: PROGRAMMING Components of Programming Beginning Python Programming Decisions and Loops Reading and Writing Files Merging Files Modules and Libraries Debugging Strategies PART IV: COMBINING METHODS Selecting and Combining Tools Relational Databases Advanced Shell and Pipelines PART V: GRAPHICS Graphical Concepts Working with Vector Art Working with Pixel Images PART VI: ADVANCED TOPICS Working on Remote Computers Installing Software Electronics: Interacting with the Physical World APPENDICES Working with other Operating Systems Regular Expression Search Terms Shell Commands Python Quick Reference Template Programs Binary, Hex, and ASCII SQL Commands Index
Modeling Mental Workload

Abstract : The primary objective of the research project was to investigate models for monitoring and predicting subjective workload in the control of complex systems. Such models would enable systems to use workload levels to distribute tasks optimally in addition to identifying levels of workload, which could lead to a serious breakdown in performance. In the aircraft-pilot system, for example, such capabilities could provide warnings to the pilot of high workload levels and could also assess ways of reducing the pilot's workload by offering to assume control of some ongoing tasks. In this initial project, we tried to determine how well a model can assess workload using information about task requirements and task performance.
Modeling populations of sleep hypnograms

We introduce methods for the analysis of large populations of sleep architectures (hypnograms) that respect the 5-state structure defined by the American Academy of Sleep Medicine. By applying these methods to the hypnograms of 5598 subjects from the Sleep Heart Health Study we: 1) provide an unprecedented high resolution view of the sleep architecture landscape in a community cohort; 2) extend current approaches to multivariate survival data analysis to populations of time-to-transition processes; and 3) provide scalable solutions for data analyses required by the case study. This allows us to provide detailed new insights into the association between sleep apnea and sleep architecture. Supporting R as well as SAS code and data are included in the online supplementary materials.
Hämatogene Wachstumsfaktoren: Isolation, Applikation und biologische Wirkung

Hamatogene, autologe Wachstumsfaktoren aus Thrombozyten stellen ein vielversprechendes neues Konzept fur eine effektive Wundversorgung dar. Hierfur wird ein System zur optimierten Gewinnung von Thrombozytenkonzentrat aus patienteneigenem Vollblut sowie ein Hand-Applikator zur Verabreichung des Konzentrats auf Wundflachen entwickelt. Abschliesend wird die biologische Wirksamkeit in vitro evaluiert. Hierbei stehen der Einfluss der Prozessschritte auf den Aktivierungszustand der Thrombozyten sowie der proliferationsfordernde Effekt der Konzentrate im Fokus.
Development of Humanoid Robots in HUBO Laboratory, KAIST (特集 2足歩行ロボット技術)

The HUBO Laboratory in KAIST in the Republic of Korea was established in 2005. Previously, this research center was a machine control laboratory that performed research on motor control. In 2000, based on motor control technologies, we began to study humanoid robotics in earnest. It was a very challenging topic at that time. Although many other research institutes were carrying out bipedal robot research, there were few humanoid robot platforms in the world except ASIMO of HONDA. We were pioneers in the development of humanoid robots. Without any experience in humanoid robotics, we started from a very simple and basic experiment. In 2000, we designed KHR-0, which was, not a humanoid robot but just a biped walking robot without an upper body. Through this experimental platform, we determined the basic walking pattern and a fundamental understanding of bipedal walking. Since that time, we succeeded in developing a humanoid robot. In 2003, we developed KHR-1 [1]~[3], which was the first humanoid robot platform of the HUBO Laboratory. In 2004, KHR-2 [4]~[7], a humanoid robot with head and hands was developed. In 2004, we developed HUBO (KHR-3) [8]~[10], a widely known humanoid robot in the Republic of Korea. In 2005, we developed various kinds of bipedal humanoid robots including the android-type humanoid robot, Albert HUBO [11] [12]. A giant human -sized bipedal robot, FX-1, was also developed that year [13]~ [15]. Since 2006, we extended our research scope to the
Information Services Design: A Design Science Approach for Sustainable Knowledge

Introduction: Information Services Design and Exploitation 1. Information, Information Service Foundations, and Design Research 2. Design Science Foundation and Information Service Problem Analysis 3. Creating Business Models and Plans for Information Services 4. Creating Effective Process Models for Information Services 5. Designing the Information Service Infrastructure 6. Information Service Exploitation 7. The Singerian Perspective: Integrative Problem Solving Cases 8. References
High-speed parallel phase-shifting digital holography system using special-purpose computer for image reconstruction

We report a high-speed parallel phase-shifting digital holography system using a special-purpose computer for image reconstruction. Parallel phase-shifting digital holography is a technique capable of single-shot phase-shifting interferometry. This technique records information of multiple phase-shifted holograms required for calculation of phase-shifting interferometry with a single shot by using space-division multiplexing. This technique needs image-reconstruction process for a huge amount of recorded holograms. In particular, it takes a long time to calculate light propagation based on fast Fourier transform in the process and to obtain a motion picture of a dynamically and fast moving object. Then we designed a special-purpose computer for accelerating the image-reconstruction process of parallel phase-shifting digital holography. We developed a special-purpose computer consisting of VC707 evaluation kit (Xilinx Inc.) which is a field programmable gate array board. We also recorded holograms consisting of 128 × 128 pixels at a frame rate of 180,000 frames per second by the constructed parallel phase-shifting digital holography system. By applying the developed computer to the recorded holograms, we confirmed that the designed computer can accelerate the calculation of image-reconstruction process of parallel phase-shifting digital holography ~50 times faster than a CPU.
EEG BASED COGNITIVE WORKLOAD CLASSIFICATION DURING NASA MATB-II MULTITASKING

The objective of this experiment was to determine the best possible input EEG feature for clas- sification of the workload while designing load balanc - ing logic for an automated operator. The input features compared in this study consisted of spectral features of Electroencephalography, objective scoring and subjec- tive scoring. Method utilizes to identify best EEG feature as an input in Neural Network Classifiers for workload classification, to identify channels which could provide classification with the highest accuracy and for identifi - cation of EEG feature which could give discrimination among workload level without adding any classifiers. The result had shown Engagement Index is the best feature for neural network classification.
PHONOLOGICAL RECODING OF NONWORD ORTHOGRAPHIC RIME PRIMES

The effectiveness of nonword orthographic rime primes as a function of the regularity (as defined by grapheme-phoneme correspondence [GPC] rules) of typical pronunciation was examined in this research. In Experiments 1 and 2, predictions from GPC and orthographic rime unit accounts converged, but in Experiments 3 and 4 they diverged. Experiment 1 showed that when nonword orthographic rimes were used to prime consistent regular words (e.g., mist) and atypically irregular words (e.g., pint), reliable priming was observed for regular words, but priming of atypically irregular words occurred only in the 2nd block of trials, after the orthographic rime prime itself had been primed by the Block 1 presentation of the target word. In subsequent experiments, only the 1st block of trials was examined. Experiment 2 replicated the selective priming of consistent regular words observed in Block 1 of Experiment 1. In Experiment 3, nonword orthographic rimes were as effective at priming typically irregular target words (e.g., grind) as they were in priming inconsistent but typically regular target words (e.g., flint). Parallel results were observed in Experiment 4, in which nonword orthographic rimes were as effective at priming target words with typically irregular orthographic rimes as they were in priming consistent regular target words. The results of these experiments show nonword orthographic rimes are not always phonologically recoded in accordance with GPC rules.
Excel 2013 VBA and Macros

SAVE TIME AND SUPERCHARGE EXCEL 2013 WITH VBA AND MACROS! Use Excel 2013 VBA and Macros to automate virtually any routine task, and save yourself hours, days, maybe even weeks. Then, learn how to make Excel do things you thought were simply impossible! Youll discover macro techniques you wont find anywhere else and learn how to create automated reports that are amazingly powerful and useful. Bill Jelen and Tracy Syrstad show how to instantly visualize information, so you and your colleagues can understand and act on ithow to capture data from anywhere, and use it anywherehow to automate Excel 2013s most valuable new features. Mastering advanced Excel macros has never been easier. Youll find simple, step-by-step instructions, real-world examples and case studies, and 50 workbooks packed with bonus examples, macros, and solutionsstraight from MrExcel. Get started fast with Excel 2013 macro development Write macros that use Excel 2013 enhancements, including Timelines and the latest pivot table models Work efficiently with ranges, cells, and R1C1-style formulas Build super-fast applications with arrays Write Excel 2013 VBA code that works on older versions of Excel Create custom dialog boxes to collect information from your users Use error handling to make your macros more resilient Use web queries and new web service functions to integrate data from anywhere Master advanced techniques such as classes, collections, and custom functions Build sophisticated data mining and business analysis applications Read and write to both Access and SQL Server databases Control other Office programsand even control Windows itself Start writing Excel Apps similar to those in the Excel App Store About MrExcel Library: Every book in the MrExcel Library pinpoints a specific set of crucial Excel tasks and presents focused skills and examples for performing them rapidly and effectively. Selected by Bill Jelen, Microsoft Excel MVP and mastermind behind the leading Excel solutions website MrExcel.com, these books will Dramatically increase your productivitysaving you 50 hours a year or more Present proven, creative strategies for solving real-world problems Show you how to get great results, no matter how much data you have Help you avoid critical mistakes that even experienced users make
From Duty to Fashion: The Changing Role of the Kimono in the Twenty-First Century

Abstract In this article, I argue that the role and significance of the Japanese kimono are changing in twenty-first-century Japan. When the Japanese economy prospered after World War Two, the kimono became a prestige item that was worn mainly for ceremonial occasions such as weddings and coming of age ceremonies, and it was also bought to fill the trousseaus of daughters who were about to get married. These kimonos were mainly worn out of a sense of duty and social obligation. These “duty” kimono were the mainstay of the kimono industry until the economic crisis of the 1990s. I argue that the economic recession, combined with changing social patterns in Japan surrounding marriage, led to the fall of the formal “duty” kimono but enabled the kimono to fill in a new role: that of fashion item. I demonstrate how Japanese people, through kimono fashion blogs and kimono fashion icons, second-hand shops and new kimono providers, are reinventing the kimono’s role as fashion in the twenty-first century.
Two Case Studies in Latency Tolerant Architectures

Researchers have proposed a variety of techniques for dealing with memory latency, such as dynamic scheduling, hardware prefetching, software prefetching, and multiple contexts. This paper presents the results of two case studies on the usefulness of some simple techniques for latency tolerance. These techniques are nonblocking caches, reordering of loads and stores, and basic block scheduling for the expected latency of loads. The effectiveness of these techniques was found to vary according to the type of application. While nonblocking caches and load/store reordering consistently improved performance, scheduling based on expected latency was found to decrease performance in most cases. This result shows that the assumption of a uniform miss rate used by the scheduler is incorrect, and suggests that techniques for estimating the miss rates of individual loads are needed. These results were obtained using a new simulation environment, MXS, currently under development.
Units, symbols, and abbreviations : a guide for authors and editors in medicine and related sciences

1. Units - SI base units - SI derived units - SI prefixes - Non-SI units - Numbers and unit symbols 2. Symbols and nomenclature - Principles for forming symbols and abbreviations - Symbols, abbreviations, and conventions - References 3. Layout of references - Journals - Books - Theses - Digital object identifiers 4. Proof correction marks - General - Insertion, deletion, and replacement - Positioning - Spacing