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The 2030 Agenda for Sustainable Development has an unprecedented ambition, but also confronts countries with an enormous challenge given the complex and integrated nature of the Agenda with its 17 Goals, underpinned by 169 Targets. To assist national governments with their implementation, the OECD has developed a unique methodology allowing comparison of progress across SDG goals and targets, and also over time.
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Recent advances in sensor design, embedded systems, and communication networks allow us to collect valuable biomedical data effectively. The new biomedical data acquisition systems make significant contributions to life quality as well as support healthcare and diagnostic procedures. This book presents several innovative applications of data acquisition technology for monitoring patient activity, assisted living, diagnosing osteoarthritis, recognizing disorders of the cardiovascular system, and designing prostheses for amputees.
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The book is intended to be a collection of contributions providing a bird’s eye view of some relevant multidisciplinary applications of data acquisition. While assuming that the reader is familiar with the basics of sampling theory and analog-to-digital conversion, the attention is focused on applied research and industrial applications of data acquisition. Even in the few cases when theoretical issues are investigated, the goal is making the theory comprehensible to a wide, application- oriented, audience.
Automatic data collection systems. --- Data collection systems, Automatic --- Factory data acquisition systems, Automatic --- Factory monitoring systems, Automatic --- In-plant data collection systems, Automatic --- Automation --- Communication in management --- Data transmission systems --- Digital TV & media centres: consumer/user guides
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Data acquisition systems have numerous applications. This book has a total of 13 chapters and is divided into three sections: Industrial applications, Medical applications and Scientific experiments. The chapters are written by experts from around the world, while the targeted audience for this book includes professionals who are designers or researchers in the field of data acquisition systems. Faculty members and graduate students could also benefit from the book.
Automatic data collection systems. --- Data collection systems, Automatic --- Factory data acquisition systems, Automatic --- Factory monitoring systems, Automatic --- In-plant data collection systems, Automatic --- Automation --- Communication in management --- Data transmission systems --- Cybernetics & systems theory
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Statistical services. --- Data collection services --- Information services --- Statistics --- Kurdistān (Iraq) --- Statistics. --- Kordestān (Iraq)
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In radiation oncology as in many other specialties clinical trials are essential to investigate new therapy approaches. Usually, preparation for a prospective clinical trial is extremely time consuming until ethics approval is obtained. To test a new treatment usually many years pass before it can be implemented in the routine care. During that time, already new interventions emerge, new drugs appear on the market, technical & physical innovations are being implemented, novel biology driven concepts are translated into clinical approaches while we are still investigating the ones from years ago. Another problem is associated with molecular diagnostics and the growing amount of tumor specific biomarkers which allows for a better stratification of patient subgroups. On the other side, this may result in a much longer time for patient recruiting and consequently in larger multicenter trials. Moreover, all of the relevant data must be readily available for treatment decision making, treatment as well as follow-up, and ultimately for trial evaluation. This challenges even more for agreed standards in data acquisition, quality and management. How could we change the way currently clinical trials are performed in a way they are safe and ethically justifiable and speed up the initiation process, so we can provide new and better treatments faster for our patients? Further, while we rely on various quantitative information handling distributed, large heterogeneous amounts of data efficiently is very important. Thus data management becomes a strong focus. A good infrastructure helps to plan, tailor and conduct clinical trials in a way they are easy and quickly analyzable. In this research topic we want to discuss new ideas for intelligent trial designs and concepts for data management.
Cancer --- Oncology, Experimental. --- Radiotherapy --- Data processing. --- Study Management --- Clinical trials --- Data Collection --- Radiation Oncology --- Clinical Study design
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Thurstone's principle of simple structure is rejected and replaced by its converse, the principle of complex structure. Varimax, the popular simple structure rotation of factors, is replaced by varimin, a novel procedure taking account of the complexity of investigated variables (s. Ertel, 2011). An exploratory factor analysis of a similarity matrix of 16 kinship terms showed that expected semantic features (sex, generation, nuclear family, lineality) manifest themselves by varimin rotation,while distorted clusters of kinship terms are obtained by varimax rotation. Varimin rotation was also applied to five PCA-factors obtained from 30 facet variables of NEO-PI-R (Ostendorf & Angleitner, 2004). As expected, variminrotated factors do not replicate the Big-Five factors neuroticism, extraversion, etc., they rather reveal basic componential features (usually called „dimensions‟): activation level (high-low), activation slope (ascending-descending), source of regulation (endodynamic- exodynamic), phenomenal quality (endomodal-exomodal), and functionality (eufunctional vs. dysfunctional). The well-known Big-Five factors represent clusters of those features rather than simple dimensions. Sensation seeking, internalexternal control, i. e. further constructs of simple structure- oriented research, are likewise conceivable as patterns of functioning based on those five componential features. The validity of the five features obtained by varimin has largely been confirmed by rankings of the 30 NEO-PI-R facets using the features as judgmental criteria. Replacing Thurstonian simple structure by procedures aiming at complex structure might help to generate a systemic architecture in the personality and individual differences domains. More psychological functioning might be made transparent by modelling patterns of basic features. Seit über 70 Jahren kursieren in der Psychologie faktorenanalytische Modelle der Persönlichkeit. Methodologische Kontroversen, die jahrzehntelang die Szene beherrschten, wurden seit etwa zwei Jahrzehnten von einem zunehmenden Konsens abgelöst. Das Fünf-Faktoren-Modell (FFM) hat die Vorherrschaft gewonnen. Das FFM ist indessen mit schwerwiegenden Mängeln behaftet, was die theoretische Deutung der fünf Dimensionen betrifft. Der Verfasser hat dafür einen bislang unerkannten Fehler in den Grundauffassungen der Psychometrie verantwortlich machen können (Ertel, 2011). In seiner vorliegenden Schrift wird die Szene der methodisch und theoretisch mangelhaften Persönlichkeitsforschung aufgerollt. Ein neues Verfahren der Faktorenrotation (Varimin) wird eingesetzt, das im Unterschied zur bisherigen Modellierung, das sich dem Prinzip der Einfachstruktur verschrieben hatte, der Komplexität der analysierten Variablen Rechnung trägt. Das Verfahren, das für die faktorenanalytische Forschung ein neues Paradigma eröffnet, ermittelt Varianzquellen der Persönlichkeit, die als Basiskomponenten eines psychophysischen Ganzen eine funktionale Einheit erkennen lassen. Damit werden die Hindernisse überwunden, die einem theoretischen Verständnis der Ergebnisse faktorenanalytischer Persönlichkeitsforschung bisher im Wege standen.
Social Sciences --- Psychology --- Psychological Research --- Data Collection --- Indentity --- Personality --- Big Five (Psychologie) --- Energie --- Faktorenanalyse --- Introversion und Extraversion --- Konfiguration von Mintzberg --- Konstrukt --- Semantik
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In response to a request from the Central Statistical Bureau (CSB) of Kuwait, a government finance statistics (GFS) technical assistance (TA) mission visited Kuwait City, Kuwait during April 29–May 3, 2018. This first GFS TA mission from the IMF’s Statistics Department (STA) aimed to assist the CSB staff in compiling fiscal data according to the Government Finance Statistics Manual 2014 (GFSM 2014) and help them to issue this year’s GFS bulletin according to the GFSM 2014 classification. In addition, the mission discussed with the Ministry of Finance (MoF) the possibility of resuming the reporting of the GFS data to the Fund for surveillance and dissemination in Government Finance Statistics Yearbook (GFSY).
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Hypnotics. --- Sedatives. --- Drugs --- Drug utilization --- Drugs --- Medical care --- Insurance, Health --- Quality of health care --- Data collection --- Hypnotics and sedatives. --- Tranquilizing agents, Minor. --- Side effects. --- Prescribing --- Evaluation.
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This paper suggests a way forward in the effort to measure statistical capacity building by combining features of two tools – the Project Management System, a logical framework methodology that the IMF Statistics Department uses to plan, monitor, and evaluate technical assistance projects, and the Data Quality Assessment Framework, a methodology for assessing data quality that brings together best practices and internationally accepted concepts and definitions in statistics.
Macroeconomics --- Statistics --- Data Transmission Systems --- Databases --- Other Special Topics: General --- Data Collection and Data Estimation Methodology --- Computer Programs: General --- Methodology for Collecting, Estimating, and Organizing Macroeconomic Data --- Data Access --- General Aggregative Models: General --- Data capture & analysis --- Data Quality Assessment Framework (DQAF) --- Data dissemination --- Data collection --- Special Data Dissemination Standard (SDDS) --- National accounts --- Economic statistics --- Data transmission systems --- National income
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