Miracle-dz/UniFAR-FTUs huggingface dataset:
Een methode voor de beoordeling van technische dossiers van Klasse I medische hulpmiddelen

In samenwerking met de Inspectie voor de Gezondheidszorg heeft het RIVM een methode ontwikkeld voor de handhaving van het Besluit medische hulpmiddelen betreffende klasse I hulpmiddelen. Deze methode werd gebruikt voor de beoordeling van de inhoud van technische dossiers tegen de eisen uit het besluit. Fabrikanten moeten technische dossiers samenstellen als onderdeel van de conformiteitbeoordelingsprocedure. Het onderzoek omvatte de ontwikkeling van een dossierbeoordelingsformulier en een pilotstudie van 40 dossiers. De methode voldeed aan de verwachtingen en kleine aanpassingen zijn voorgesteld. Van de 40 fabrikaten hebben er vijf hun registratie ingetrokken. Van de overgebleven 35 dossiers werden er 33 binnen 16 weken ontvangen en 55n daarna. Geen van deze 34 dossiers bevatte alle vereiste onderdelen. Het aantal tekortkomingen varieerde tussen 2 en 14. Aanvullende informatie werd opgevraagd voor 20 dossiers voor de inhoudelijke beoordeling ervan. Deze informatie kwam op tijd binnen voor 15 dossiers, zodat 29 dossiers konden worden beoordeeld. Het aantal onderdelen van de essentiele eisen waarin tekortkomingen zijn geconstateerd varieerde van 1 tot 8 per dossier. Alle dossiers hadden tekortkomingen op het onderdeel etikettering en gebruiksaanwijzing. De resultaten geven aan dat de meeste fabrikanten uit dit onderzoek bekend zijn met het besluit. De kwaliteit van de technische dossiers moet worden verbeterd. Verbetering van de dossiers stimuleert een systematische evaluatie van de veiligheid en geschiktheid van hulpmiddelen die op de markt worden gebracht.
Web geospatial visualisation for clustering analysis of epidemiological data

Public health is a major factor that in reducing of disease round the world. Today, most governments recognise the importance of public health surveillance in monitoring and clarifying the epidemiology of health problems. As part of public health surveillance, public health professionals utilise the results of epidemiological analysis to reform health care policy and health service plans. There are many health reports on epidemiological analysis within government departments, but the public are not authorised to access these reports because of commercial software restrictions. Although governments publish many reports of epidemiological analysis, the reports are coded in epidemiology terminology and are almost impossible for the public to fully understand. In order to improve public awareness, there is an urgent need for government to produce a more easily understandable epidemiological analysis and to provide an open access reporting system with minimum cost. Inevitably, it poses challenges to IT professionals to develop a simple, easily understandable and freely accessible system for public use. It is not only required to identify a data analysis algorithm which can make epidemiological analysis reports easily understood but also to choose a platform which can facilitate the visualisation of epidemiological analysis reports with minimum cost. In this thesis, there were two major research objectives: the clustering analysis of epidemiological data and the geospatial visualisation of the results of the clustering analysis. SOM, FCM and k-means, the three commonly used clustering algorithms for health data analysis, were investigated. After a number of experiments, k-means has been identified, based on Davies-Bouldin index validation, as the best clustering algorithm for epidemiological data. The geospatial visualisation requires a Geo-Mashups engine and geospatial layer customisation. Because of the capacity and many successful applications of free geospatial web services, Google Maps has been chosen as the geospatial visualisation platform for epidemiological reporting.
Heart Rate Variability – Noninvasive Monitoring of Autonomic Nervous System Function -

Monitoring of changes in heart rate is the commonest way of rapid assessment of cardiovascular function in everyday clinical practice. Analysis of the recordings of the heart electrical activity enabled the discovery that specific fluctuations of the length of consecutive heart cycles, which can not be measured in clinical examination, are associated with physiological conditions. That phenomenon, named heart rate variability, could be evaluated only by implementing special measurements, based on time domain analysis and frequency domain analysis which give many parameters that are related to the functioning of two branches of autonomous nervous system: sympathetic and parasympathetic system. Many observational and controlled clinical studies have shown reduced heart rate variability in different pathological conditions, so that it could be a useful tool in risk stratification after acute myocardial infarction, or coronary artery disease, in diabetic autonomic neuropathy, endocrine diseases, neurologic and psychiatric diseases. During anaesthesia, there are profound alterations in autonomic nervous tone, depending on the comorbidity and the agents that are used for induction and maintenance. Measurements of changes in autonomic function is very important, and could give a possibility for determination of the perioperative risk and timely correction of the dysfunction, especially in high risk patients. Some aspects of measurement of heart rate variability and changes of the values of parameters in different pathological conditions and in anaesthesia are reviewed.
Seaweed Diversity and Conservation on the Warambadi Seashore of Sumba Island: Substrata and Seasonal Phenomenon

The interaction between species and species diversity with their growing habitats are essential in the conservation of species. This study deals with the diversity and conservation of seaweed (marine macro-algae) with the emphasis on substrata habitats (sandy and rocky shores) and seasonal conditions (rainy and dry seasons). The study was carried out on the Warambadi seashore of Sumba Island. The t-test analysis showed that the “species diversity index of algae” (H’) on both sandy and rocky substrata did not significantly different. The (H’) during both rainy and dry seasons on different substratum (sandy and rocky substrata) did not show any significant differences. The two-way anova analysis recorded that the (H’) and the number of algae species were not affected by the differences of both substrata and seasons, but it was significantly affected by the interaction between the types of substratum and season. The study also reported that the types of substrata and seasons affected the (H’) of Chlorophyceae but not by of their interaction, and the (H’) of Rhodophyceae was affected by the types of substratum and season but not by their interaction. Moreover, the types of substratum and season affected the (H’) of Phaeophycea, but their interaction did not affect such diversity index. Substrata and seasonal phenomenon also indicate that the types of substratum, season, and their interactions affected the number of species Chlorophyceae, Rhodophyceae, and Phaeophyceae. Keywords: seaweed, diversity, conservation, substrata, season
Asset price manipulation with several traders

In financial markets with asymmetric information, traders may have an incentive to forgo profitable deals today in order to preserve their informational advantage for future deals. This sort of manipulative behaviour has been studied in markets with one informed trader (Kyle 1985, Chakraborty and Yilmaz 2004). The effect is slower social learning. Using an extension of Glosten and Milgrom’s (1985) trading model, we study this effect in markets with N informed traders. As N grows large, each trader’s price impact subsides, and so does manipulation in equilibrium. However, the impact of manipulation on social learning can be increasing in N. As N increases, each trader individually manipulates less. But nonetheless, the increased number of manipulative actions introduces enough noise to exacerbate the impact of manipulation on learning.
Comparison of NoSQL Database and Traditional Database-An emphatic analysis

A Huge amount of data is manipulated by using the web application, Facebook, Twitter, social sites etc. Most of the data are unstructured data. It is not desirable for storing, performing and analyzing data in the relational database for huge data. It affords way towards performing NoSQL database and uses fully for handling the big data. In this paper, we present the performance in store and query operation in NoSQL database, estimating the performance of both reads and write operation using simple and complex queries. Result represents that comparing Cassandra with relation database, Cassandra outperforms the relation database. Most of the organization used only Hbase and Cassandra for benefit of cost. Comparison Various NoSQL Database, issues while performing NoSQL database.
Multi-objective optimization of a PM Assisted Synchronous Reluctance Machine, including torque and sensorless detection capability

This paper presents a multi-objective optimization of a Permanent Magnet Assisted Synchronous Reluctance Machine with three barriers per pole, based on a genetic algorithm. The aim of the study is to optimize both the torque and the high frequency electro-magnetic saliency, to obtain a motor with a good behaviour when controlled by means of sensor-less techniques with high frequency signal injection. The optimization is carried out changing the permanent magnet coercive field and the thickness of the magnets of each barrier, independently. (6 pages)
Market Power and Joint Dominance in UK Brewing

Market power and joint dominance are examined in UK brewing, an industry that is periodically scrutinized by both UK and EU competition authorities. I assess unilateral and coordinated e®ects, where the latter is equated with joint dominance, and I show how one can distinguish between the two econometrically. The application makes use of two classes of demand equations: the nested logit of McFadden (1978a) and the distance{metric of Pinkse, Slade, and Brett (2002). The two equations yield very di®erent predictions concerning elasticities and markups. Nevertheless, neither model uncovers evidence of collusion (coordinated e®ects). Using the distance{metric, I ̄nd that i) UK brewing ̄rms have substantial market power, but that it is due entirely to unilateral e®ects, and ii) brand not ̄rm characteristics determine margins. Journal of Economic Literature classi ̄cation numbers: L13, L41, L66, L81
u-Texture: A Board-shaped Smart Material that Provides Ubiquitous Services

In this paper, we describes u-Texture, a board-shaped smart material that allows users to assemble various forms of smart furniture which instantaneously converts the nonsmart space into a smart space where provides locationbased context-aware services, service roaming, personalized services and the connectivity to the Internet, and which supports our daily activities unobtrusively. uTexture has abilities to calculate, communicate with each other and another networked systems, recognize its orientation and surrounding, and output images and sounds. With these abilities, u-Texture enables to change own services dynamically by recognizing its orientation and surrounding environment. We introduce the usability of uTexture concept with applications in this demonstration.
Development of an upper extremity outcome measure: The DASH (disabilities of the arm, shoulder, and head)

This paper describes the development of an evaluative outcome measure for patients with upper extremity musculoskeletal conditions. The goal is to produce a brief, self-administered measure of symptoms and functional status, with a focus on physical function, to be used by clinicians in daily practice and as a research tool. This is a joint initiative of the American Academy of Orthopedic Surgeons (AAOS), the Council of Musculoskeletal Specialty Societies (COMSS), and the Institute for Work and Health (Toronto, Ontario). Our approach is consistent with previously described strategies for scale development. In Stage 1, Item Generation, a group of methodologists and clinical experts reviewed 13 outcome measurement scales currently in use and generated a list of 821 items. In Stage 2a, Initial Item Reduction, these 821 items were reduced to 78 items using various strategies including removal of items which were generic, repetitive, not reflective of disability, or not relevant to the upper extremity or to one of the targeted concepts of symptoms and functional status. Items not highly endorsed in a survey of content experts were also eliminated. Stage 2b, Further Item Reduction, will be based on results of field testing in which patients complete the 78-item questionnaire. This field testing, which is currently underway in 20 centers in the United States, Canada, and Australia, will generate the final format and content of the Disabilities of the Arm, Shoulder, and Hand (DASH) questionnaire. Future work includes plans for validity and reliability testing.
A study of subjective speech quality measurement over VoIP network

This paper researches the scale of subjective speech quality measurement over VoIP (voice over IP) service which is a component of broadband networks. Though objective parameters of multimedia services like PSNR or jitter can be easily measured and defined, those factors do not easily met the users' perceptual recognition. It is suggested that the scale of speech quality measurement through the subjective measurement is more adequate for end-to-end speech quality which is composed of sender-side quality, transmission quality, and receiver-side quality, and which provides the degree of correctness in speakers' representation, the degree of impairment caused by various factors, and the degree of recognition of processed speech, respectively. It is also examined by the proposed method and verified by its availability.
RESIDENT/FELLOW RESEARCH DAY Department of Ophthalmology and Visual Sciences

He completed his undergraduate education at Princeton University, after which he obtained a medical degree from the University of California, San Francisco, and a Ph.D. degree from Harvard University. He completed his ophthalmology residency and a glaucoma fellowship at the prestigious Massachusetts Eye and Ear Infirmary and Harvard Medical School. Prior to his current appointment, he held faculty positions at King Khaled Eye Specialist Hospital (Riyadh, Saudi Arabia) and the University of Tennessee (Memphis). Dr. Netland has received both the Achievement Award and the Senior Achievement Award from the American Academy of Ophthalmology. He is a Special Associate Examiner for the American Board of Ophthalmology. He has given hundreds of presentations to regional, national, and international societies and organizations. He has published over 300 original scientific articles, reviews, and abstracts as well as five textbooks. efforts include medical informatics in ophthalmology and computer-assisted diagnosis. He completed his ophthalmology residency and a pediatric ophthalmology and strabismus fellowship in Pediatric Ophthalmology at the University of Iowa, during which time he was a two-time winner of the prestigious Leinfelder Award for the best Research Day presentation. Resolution of foveal cystoid changes in idiopathic juxtafoveal telangiectasia with carbonic anhydrase inhibitors In vivo examination of meibomian gland morphology in patients with impaired function of the orbicularis oculi using infrared meibography Etiology of isolated infantile nystagmus in a tertiary care pediatric ophthalmology practice Use of macular optical coherence tomography to detect homonymous hemianopia Correlation of optic disc morphology and nerve fiber layer thickness via Cirrus HD-OCT in patients with nonarteritic anterior ischemic optic neuropathy Background/Purpose: Partially accommodative esotropia has historically been surgically managed by basing the surgery on the residual deviation in the full hyperopic correction. Standard surgery can result in undercorrection and some have advocated " augmented surgery " to address this undercorrection. Prism Adaptation has been shown to have a beneficial overall effect in the surgical outcome of patients with acquired esotropia. Many variables associated with the prism adaptation test (PAT) have been studied, but we set out to determine the effect high hyperopia (greater than + 4D) had on the surgical outcome of the patients that were treated with prism adaptation. Methods: A retrospective chart review of patients that underwent prism adaptation for esotropia between 1998 and 2008 at University of Iowa Hospitals and Clinics was started. We created a database in order to further analyze prism adaptation in these patients with high …
Language of Others: EFL Students’ Perception of and Attitude Towards English

English has emerged as a world language which is used from international trade to international media and contributed to the increase of communication among nations Parallel to this situation the English language has been acquiring an important role in Turkey as a tool for communication and a means of progress This qualitative study describes language learners’ perception of this influential language The data were gathered form students in preparatory program through semi structured interviews and analyzed through meaning condensation method Results indicated that language learners perceive English as an international language and have multilayered attitude towards English On the one hand they value English as a language of power and want to have an access to this power by mastering it but on the other hand they question its dominance and show negative attitude towards learning English Key Words: English as an International Language attitude towards English Foreign language education
Multi-parametric programming and explicit model predictive control of hybrid systems

This thesis is concerned with different topics in multi-parametric programming and explicit model predictive control, with particular emphasis on hybrid systems. The main goal is to extend the applicability of these concepts to a wider range of problems of practical interest, and to propose algorithmic solutions to challenging problems such as constrained dynamic programming of hybrid linear systems and nonlinear explicit model predictive control. The concepts of multi-parametric programming and explicit model predictive control are presented in detail, and it is shown how the solution to explicit model predictive control may be efficiently computed using a combination of multi-parametric programming and dynamic programming. A novel algorithm for constrained dynamic programming of mixed-integer linear problems is proposed and illustrated with a numerical example that arises in the context of inventory scheduling. Based on the developments on constrained dynamic programming of mixed-integer linear problems, an algorithm for explicit model predictive control of hybrid systems with linear cost function is presented. This method is further extended to the design of robust explicit controllers for hybrid linear systems for the case when uncertainty is present in the model. The final part of the thesis is concerned with developments in nonlinear explicit model predictive control. By using suitable model reduction techniques, the model captures the essential nonlinear dynamics of the system, while the achieved reduction in dimensionality allows the use of nonlinear multi-parametric programming methods.
Firm Heterogeneity and Market Selection in Sub‐Saharan Africa: Does It Spur Industrial Progress?

This article investigates the processes of market selection and industry dynamics in a sub‐Saharan Africa context. Using census‐based longitudinal data, it examines the distribution of productivity within an industry to determine whether patterns of firm entry, exit, and survival are driven by underlying efficiency differences. It also estimates the contributions to industry‐level productivity growth of producer turnover and the reallocation of resources from less efficient producers to more efficient ones. The article shows that markets in sub‐Saharan Africa, as represented by Ethiopia, are at least as strong as those in other regions in selecting efficient firms. Tolerance of inefficient firms also declines with the degree of exposure to international competition. While reallocation of resources played a positive and significant role for industry‐level productivity growth, it only managed to offset the declining trend in intrafirm productivity. The article concludes that although markets have played the expected disciplinary role, long‐term industrial growth requires more than functional markets, particularly in addressing firm‐level innovation.
Benutzeradaptive Systeme im Internet : informieren und lernen mit GRAMMIS und ProGr@mm

Die Publikation untersucht Nutzungs- und Gestaltungsprinzipien fur benutzeradaptive Online Informationssysteme anhand des grammatischen Informationssystems "grammis" sowie der Propadeutischen Grammatik "ProGr@mm". Beides sind aktuelle Internet-Projekte, die am Institut fur Deutsche Sprache in Mannheim beheimatet sind und seit Jahren erfolgreich fur die Vermittlung von linguistischem Wissen genutzt werden. Aufbauend auf einer Reflexion sowohl der Vorteile als auch der aktuellen und prinzipiellen Probleme des elektronischen Publizierens im WWW wird ein Losungsansatz vorgestellt, der aus der Perspektive des Systemdesigners die Moglichkeiten der Informationshaltung sowie der benutzerspezifischen, hypertextuellen Informationsprasentation aufzeigt. Dieser Ansatz ist von der letztendlichen Gestaltung des Bildschirmaufbaus unabhangig und konzentriert sich vielmehr auf die Frage, wie der Produzent unter Ausnutzung des Kommunikationspotenzials des WWW den Zugriff auf digital vorliegende Informationen realisieren kann. Das Ziel ist, aus mittels XML und Metadaten inhaltlich erschlossenen Hypertexten dynamische Webdokumente zu generieren. Ein zentraler Punkt dabei ist die Modellierung des Dialogs mit dem Benutzer: Wie kann die Weiterentwicklung der reinen Nutzungsinteraktivitat zur Aktionsinteraktivitat realisiert werden? Wie konnen explizite Reprasentationen von individuellen Benutzercharakteristika ermittelt und sinnvoll fur ein adaptives Systemverhalten genutzt werden.
Advance Clustering Technique for Query Optimization in Distributed Database

In modern days Distributed Database system suffers from many difficulties. One of the most common difficulties is the environment where such kinds of systems are running on unpredictable and volatile environment. In such an environment it is difficult to produce an efficient database query optimization based on information available at compilation time. In this paper a study of traditional genetic algorithm along with some new techniques are done for finding out the limitation and overcome them for optimizing query in Distributed Database. All the different work proposed in papers are based on genetic algorithm and new techniques are imposed on it to improve the performance of query execution. Some techniques involve clustering technique to minimize the cost for executing query and an ant system is used to improve the execution cost as ant takes optimal path to solve any problem. Finally new teacher- learner based techniques are used to optimize the query. In this paper we propose a model of query optimization which reduce time complexity by using GFCM (Geostatistical Fuzzy c-mean) in place of FCM (Fuzzy c-mean) clustering technique.