Miracle-dz/UniFAR-FTUs huggingface dataset:
Matching of PATSTAT Applications to AIDA Firms: Discussion of the Methodology and Results

This paper is a brief methodological note on the matching of Italian firms in the AIDA database with applicants at the European Patent Office from the PATSTAT database. The need to match data on patent applications with balance-sheet information stems from the importance of patent statistics as a source of information on the innovative performance of firms. Starting from recent efforts to match applicants in PATSTAT with firms in the Bureau van Dijk databases (ORBIS, AMADEUS, FAME), we added an improved cleaning routine to maximize exact matches, followed by an approximate matching based on multiple combination of similarity scores. Starting with 272,475 firms, we matched 49,369 EPO applications in the period 1977-2009. The matching covers 68 percent of EPO applications by Italian firms for the entire period and 89 percent for 2000-2009. Finally, we describe the time, sector, size, geographical location and technology distribution of the matched applications.
Gateways to Academic Writing: Effective Sentences, Paragraphs, and Essays

Gateways to Academic Writing: Effective Sentences, Paragraphs, and Essays, by Alan Meyers, provides a fully integrated program of writing instruction for high-intermediate to advanced students of English. The book's four units give students the tools they need to improve their academic writing. Unit I introduces the writing process, from exploring ideas, organizing, and drafting to revising, editing, and proofreading. Unit II examines the ten modes of writing, including narration, all forms of exposition, persuasion, and summary and response. Unit III presents key terminology, sentence structures, and verb tenses and forms. Unit IV gives students extensive editing practice, including Editing for Mastery exercises.
The Influence of Swedish on the English of Finnish Learners.

A study of the effects of learning Swedish as a third language on the previously-learned English of native Finnish-speaking students examined 10,000 English-language school-leaving examinations of Finnish students for possible examples of Swedish influence in vocabulary, grammar, and word order. The examinations were those graded by a native Swedish-speaker during a 7-year period. It was hypothesized that learning Swedish, a language similar to English, would influence students' knowledge of English. Few examples of grammatical influence were found except for word order errors, many of which could be the result of interaction between Finnish and Swedish. The clearest examples of probable Swedish influence on word order were found in subject-verb inversions. Two major Swedish lexical influences were found, one in which formal similarity between existing Swedish and English words led to a negative influence on the learner, and another in which the learner's search for an individual English lexical item activated a Swedish item. The data support a hypothesis of non-native language transfer to the other non-native language being learned. Such transfer differs from native-language influence. (MSE) *********************************************************************** * Reproductions supplied by EDRS are the best that can be made 1. * from the original document. * *********************************************************************** Mikan Ring! ) "PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY
Adaptive Control Design and Analysis

Preface. 1. Introduction. 2. Systems Theory. 3. Adaptive Parameter Estimation. 4. Adaptive State Feedback Control. 5. Continuous-Time Model Reference Adaptive Control. 6. Discrete-Time Model Reference Adaptive Control. 7. Indirect Adaptive Control. 8. A Comparison Study. 9. Multivariable Adaptive Control. 10. Adaptive Control of Systems with Nonlinearities. Bibliography. Index.
Örgütsel Etik İklim ve Çalışan Sesliliği Davranışı Arasındaki İlişki: Psikolojik Güvenliğin Aracı Rolü

The aim of this study is to investigate the relationships among organizational ethical climate, psychological safety and employee voice behaviour. The effect of perceived organizational ethical climate on employee voice behaviour through psychological safety was investigated. In the theoretical framework, the concepts of organizational ethical climate, psychological safety and employee voice behaviour were explained respectively. To test the hypotheses, data were gathered through a survey conducted on 409 employees working at health sector in Siirt province. Data were analyzed by using SPSS and factor, correlation and regression analyzes were performed. In the analyzes performed, the employee voice was addressed in two dimensions: promotive and prohibitive voice. According to the findings of the research, organizational ethical climate positively affects employee voice behaviour and psychological safety. Moreover, it was observed that the effect of perceived organizational ethical climate on employee voice is partially mediated by psychological safety.
Eddie Adams: Vietnam

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UvA-DARE ( Digital Academic Repository ) Child abuse & neglect in Suriname

Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva. nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.
Time Blanking for GBT Data with RADAR RFI

TIME BLANKING FOR GBT DATA WITH RADAR RFI Weizhen Dong Department of Electrical and Computer Engineering Master of Science The 1215 MHz to 1400 MHz band is important for radio astronomers to observe redshifted extragalactic hydrogen ionic (HI). Observations at these frequencies are complicated by radio frequency interference (RFI) from strong man-made transmissions such as the ARSR-3 Air Surveillance Radar. In this thesis, we characterize some data files recorded at the National Radio Astronomy Observatory (NRAO) at Green Bank, West Virginia, USA, where this RADAR system causes significant data corruption. Using this data, we present a blanking technique to separate RFI from cosmic signal. There are generally two blanking approaches, time window blanking and detected pulse blanking. Compared with time window blanking, the advantage of detected pulse blanking is that the loss of integration time is much less (i.e. less data is discarded). But some pulses fail to be blanked because they are too weak to detect. So in order to blank weak pulses, it is desirable to optimize detection performance. In this work, we will combine these two blanking techniques and present a new Bayesian algorithm which combines Kalman tracking with pulse detection. This new algorithm will help to locate the weaker or missed detections, so as to help improve the performance of pulse blanking.
New York City English

This book is the first to examine the English spoken in New York City comprehensively, including pronunciation, grammar, and discourse. Using sources from classic studies to original data, Newman describes New Yorkers' speech in a way that is linguistically rigorous yet accessible to non-specialists. The book also shows how the linguistic similarities and differences among New Yorkers are rooted in social, cultural, and historical factors.
Three dimensional finite element modelling of liquid crystal electro-hydrodynamics

Liquid crystals (LC) are used in new applications of increasing complexity and smaller dimensions. This includes complicated electrode patterns and devices incorporating three dimensional geometric shapes, e.g. grating surfaces and colloidal dispersions. In these cases, defects in the liquid crystal director field often play an important part in the operation of the device. Modelling of these devices not only allows for a faster and cheaper means of optimising the design, but sometimes also provides information that would be difficult to obtain experimentally. As device dimensions shrink and complex geometries are introduced, one and two dimensional approximations become increasingly inaccurate. For this reason, a three dimensional finite element computer model for calculating the liquid crystal electro-hydrodynamics is programmed. The program uses the Q-tensor description allowing for variations in the liquid crystal order and is capable of accurately modelling defects in the director field. The aligning effect solid surfaces has on liquid crystals, known as anchoring, is essential to the operation of nearly all LC devices. A simplifying assumption often made in LC modelling is that of strong anchoring (the LC orientation is fixed at the LC- solid surface interface). However, in small scale structures with high electric fields and curved surfaces this assumption is often not accurate. A general expression that can be used to represent various weak anchoring types in the Landau-de Gennes theory is introduced. It is shown how experimentally measurable values can be assigned to the coefficients of the expression. Using the Q-tensor model incorporating the weak anchoring expression, the operation of the Post Aligned Bistable Nematic (PABN) device is modelled. Two stable states, one of higher and the other of lower director tilt angle, are identified. Then, the switching dynamics between these two states is simulated.
How effective are print-based comprehension models for reading and assessing multimodal texts?

The presentation of texts within a school environment has traditionally been heavily weighted towards print-based media. Outside of this environment, students are increasingly exposed to multimodal texts as a result of a greater reliance upon, and use of, electronic communication technologies in their daily lives. It may appear that students are fluent in the control of these technologies, but this may not necessarily equate to adequate comprehension of the texts being presented by these technologies. This paper examines the role and potential effectiveness of a 'traditional' model for comprehension of print-based texts (Here-Hidden-Head) when applied to the comprehension of a digital multimodal text.
Accuracy and precision of a technique to assess residual limb volume with a measuring-tape

Transtibial stump volume can change dramatically postoperatively and jeopardise prosthetic fitting. Differences between individuals make it hard to give general recommendations of when to fit with a definitive prosthesis. Measuring the stump volume on every patient could solve this, but most methods for volume assessments are too complicated for clinical use.The aim of this study was to evaluate accuracy and intra- and interrater precision of a method to estimate stump volume from circumferential measurements. The method approximates the stump as a number of cut cones and the tip as a sphere segment.Accuracy was evaluated theoretically on six scanned stump models in CAPOD software and manually on six stump models. Precision was evaluated by comparing measurements made by four CPOs on eight stumps. Measuring devices were a wooden rule and a metal circumference rule. The errors were estimated with intraclass correlation coefficient (ICC), where 0,85 was considered acceptable, and a clinical criterion that a volume error of ±5% was acceptable (5% corresponds to one stocking). The method was accurate on all models in theory but accurate on only four models in reality. The ICC was 0,95-1,00 for intrarater precision but only 0,76 for interrater precision. Intra- and interrater precision was unsatisfying when using clinical criteria. Variations between estimated tip heights and circumferences were causing the errors.The method needs to be developed and is not suitable for stumps with narrow ends. Using a longer rule (about 30 cm) with a set square end to assess tip heights is recommended to improve precision. Using a flexible measuring-tape (possible to disinfect) with a spring-loaded handle could improve precision of the circumferential measurements.
REMOTE SENSING IN THE RECOGNITION AND MAPPING OF TROPICAL SOILS DEVELOPED ON TOPOGRAPHIC SEQUENCES

The authors compare information on soil maps of the São Paulo region, Brazil (obtained by four different methodologies) with ground truth data and a preexisting semi-detailed soil map. The methodologies for compiling the new soil maps included: (1) conventional (field) cartographic methods; (2) air photo interpretation; (3) automated processing of radiometric data; and (4) use of radiometric data in conjunction with air photo analysis and planimetric/altimetric observations. The remote sensing methodologies produced soil maps similar to the detailed map (1) and substantially better than the pre-existing semi-detailed one. The utility of these techniques to soil surveys at rather large scales, and for tropical soil mapping in general, is assessed.
Large system convergence analysis of blind and training-based stochastic steepest descent adaptive CDMA detectors

|We show that, in the limit as the number of users K and the processing gain N both go to in nity with = K=N constant, there is no di erence in the convergence speed of the training-based least mean square (LMS) and blind minimumoutput energy (MOE) adaptive CDMA detectors. The analysis is based on deriving the asymptotic eigenvalue spread of the two correlation matrices governing convergence of these two algorithms.
Sign language interpreting and interpreter education : directions for research and practice

1. Shifting positionality: A critical examination of the turning point in the relationship of interpreters and the deaf community 2. Towards real interpreting 3. Educational interpreting: Access and outcomes 4. Linguistic features and strategies of interpreting: From research to education to practice 5. Code choices and consequences: Implications for educational interpreting 6. The research gap: Getting linguistic information into the right hands, implications for deaf education and interpreting 7. Factors that influence the acquisition of ASL for interpreting students 8. Service learning in interpreting education: A sense of place 9. Designing a curriculum for American Sign Language/English interpreting educators 10. The emerging professionals: Deaf interpreters and their views and experiences on training 11. Consumers and service effectiveness in interpreting work: A practice profession perspective AFTERWORD - INTERPRETING AND INTERPRETER EDUCATION: ADVENTURES IN WONDERLAND? PATRICIA SAPERE, DONI LAROCK, CAROL CONVERTINO, LAURENE GALLIMORE, AND PATRICIA LESSARD
Object Pronouns in the Evolution of Romanian: a Biolinguistic Perspective

We examine pronominal objects in Old Romanian and show that the fluctuation in their position (pre-/post-verbal) and in their form (clitic/strong pronoun) is the result of the Directional Asymmetry Principle (DAP), a complexity-reducing principle proposed in Di Sciullo (2011), according to which language evolution is symmetry breaking. We show that DAP is sensitive to both derivational and representational complexity. Under its effects, on grounds of derivational complexity reduction, Romanian lost the discourse-driven verb movement that yielded enclisis. On grounds of representational (sensori-motor) complexity reduction, Romanian lost the use of strong pronouns in contexts that now only allow clitics. Thus, a fluctuating phase in the evolution of pronominal objects is followed by a phase where a preponderant use is attested (i.e. proclitics in Modern Romanian). We confirm previous findings on the diachronic development of the Romanian DP under the effects of DAP, showing the role of complexity reduction in language change.
Virtual dimensionality analysis for hyperspectral imagery

Virtual dimensionality (VD) has been widely used to estimate number of endmembers in the past. Unfortunately, the original idea of VD was developed to specify the number of spectrally distinct signatures in hyperspectral data where there is no provided specific definition of what “spectrally distinct signatures” are. As a result, many techniques developed to estimate VD have produced various values for VD. This paper addresses this issue by develops a target specified VD (TSVD) theory where the value of VD is completely determined by targets of interest. In particular, the VD techniques can be categorized according to targets characterized by eigenvalues/eigenvectors and real target signal sources which are used for a binary composite hypothesis testing problem. For the latter case the Automatic Target Generation Process (ATGP) is particularly used to generate real target signal sources to replace eigenvalues/eigenvectors as signal sources to be used for the binary hypothesis testing problem. In order to find probability distributions under each hypothesis the extreme theory used by Maximum Orthogonal Complement Algorithm (MOCA) is used for their derivations. As a result, VD can be estimated by two types of signals sources, eigenvalues/eigenvectors along with two types of detectors, maximum likelihood detector and Neyman-Pearson detector.
Modeling dynamical systems by means of dynamic Bayesian networks

Bayesian networks (BNs) are powerful tools for modeling complex problems involving uncertain knowledge. They have been employed in practice in a variety of fields. Their extension to time-dependent domains, dynamic Bayesian networks (DBNs) allow to monitor and update the system as time procedes and predict further behavior of the system. Most practical uses of DBNs involve temporal influences of the first order, i.e., influences between neighboring time steps. This choice is a convenient approximation influenced by the existence of efficient algorithms for first order models and limitations of available tools. This paper presents how to create higher order dynamic Bayesian networks and shows that introducing higher order influences can improve the accuracy of the model. To introduce the formalism to the readers, it describes a hypothetical simplified model based on a DBN.
Imaging Physiological and Pathological Activity in the Brain using Electric Impedance Tomography

Electric Impedance Tomography (EIT) is a promising medical imaging technique that reconstructs the internal conductivity of an object from boundary measurements. EIT is currently being used to monitor the lung during ventilation clinically. Amongst other suggested uses for imaging it can also be used to image neuronal function. There are different ways on how EIT can image neuronal function and two of these are tested in this thesis. The overall aim of our work was to advance imaging of physiological and pathological neuronal activity using EIT and assess its potential for future clinical use. In Chapter 1, a general introduction into brain imaging techniques and EIT is given. In Chapter 2, the effect of different anaesthetics on the neuronal signal was assessed to prepare for EIT recordings under anaesthesia. In Chapter 3, we assessed the validity of two biophysical models regarding the behaviour of the impedance in response to alterations in the carrier frequency experimentally. This allowed an assessment of the ideal carrier frequency to image physiological neuronal activity. In Chapter 4, the source of the fast neural signal in EIT is discussed further. In Chapter 5, the possibility of imaging physiological neuronal activity throughout the brain is tested and its limitations are discussed. In Chapter 6, the impedance response to epileptiform activity is characterized and the potential use of EIT in imaging epileptic foci in epilepsy patients is discussed. In Chapter 7, imaging of epileptic foci in subcortical structures is tested using two different ways of imaging with EIT.
The Impact of a Secondary Market on a Consumer's Intention to Buy New Video Games

The secondary market for video game purchases is a multi-billion dollar industry that some believe is unfair to video game developers. Using the Theory of Reasoned Action (TRA), we investigated user attitudes and subjective norms and their affect on a consumer’s intention to buy new video games. While TRA has been used to study purchase intentions of material goods and digital goods, our study extends this work to investigate video games, which have both a physical and digital component. Based on a survey of 118 undergraduate students, two of the hypothesized relationships are significant predictors of intention to purchase: previous experience in the primary market and access to the secondary market. The results of this study highlight the applicability of TRA to the video game market, suggest marketing strategies for video game developers, and caution against criminalizing the resale of video games.
A Generic Neural Network Framework Using Design Patterns

Designing object-oriented software is hard, and designing reusable object-oriented software is even harder. This task is even more daunting for a developer of computational intelligence applications, as optimising one design objective tends to make others inefficient or even impossible. Classic examples in computer science include ‘storage vs. time’ and ‘simplicity vs. flexibility. ’ Neural network requirements are by their very nature very tightly coupled – a required design change in one area of an existing application tends to have severe effects in other areas, making the change impossible or inefficient. Often this situation leads to a major redesign of the system and in many cases a completely rewritten application. Many commercial and open-source packages do exist, but these cannot always be extended to support input from other fields of computational intelligence due to proprietary reasons or failing to fully take all design requirements into consideration. Design patterns make a science out of writing software that is modular, extensible and efficient as well as easy to read and understand. The essence of a design pattern is to avoid repeatedly solving the same design problem from scratch by reusing a solution that solves the core problem. This pattern or template for the solution has wellunderstood prerequisites, structure, properties, behaviour and consequences. CILib is a framework that allows developers to develop new computational intelligence applications quickly and efficiently. Flexibility, reusability and clear separation between components are maximised through the use of design patterns. Reliability is also ensured as the framework is open source and thus has many people that collaborate to ensure that the framework is well designed and error free. This dissertation discusses the design and implementation of a generic neural network framework that allows users to design, implement and use any possible neural network models and algorithms in such a way that they can reuse and be reused by any other computational intelligence algorithm in the rest of the framework, or any external applications. This is achieved by using object-oriented design patterns in the design of the framework.