Miracle-dz/UniFAR-FTUs huggingface dataset:
Messung und Modellierung von Personenstroemen in oeffentlichen Gebaeuden am Beispiel der Wuerttembergischen Landesbibliothek in Stuttgart

Die Modellierung von Fußgängern beschränkt sich hauptsächlich auf die Simulation von Fußgängerverhalten. Von den Anfängen mit makroskopischen Modellen bis hin zu komplexen mikroskopischen Simulationen kann das Fußgängerverhalten heute immer besser abgebildet werden [1-5]. Fußgängerverhaltenssimulationen werden u.a. als Grundlage für die Überprüfung sicherheitsrelevanter Aspekte und die Bemessung von Fußgängerinfrastruktur (z.B. in Evakuierungssituationen) verwendet [6][7]. Aber auch als Untersuchungswerkzeug zum Verständnis komplexer Fußgängerverhaltensmuster, wie beispielsweise in religiösen Pilgerstätten, kommen Fußgängersimulationen zum Einsatz [8]. Eingangsgröße für diese Modelle ist die Verkehrsnachfrage, die mit verschiedenen Methoden erhoben werden kann [9][10]. Die Erhebungen können jedoch sehr aufwendig sein und gerade im Bereich der Videoerfassung von Fußgängern ist der Datenschutz oft ein Problem. Für makroskopische Modelle genügt hingegen meist ein Dateninput in aggregierter Form. Aggregierte Daten sind leichter zu erheben und Datenschutzrichtlinien können leichter eingehalten werden, da die Inputdaten und die Ergebnisse keine Rückschlüsse auf einzelne Personen zulassen.
FDTD modeling of noise in computer packages

The electromagnetic modeling of the components of a computer package that contribute to noise on the signal lines in computer packages is discussed. Equivalent circuits of coupled transmission lines, discontinuities in transmission lines, and a parallel-plate power plane configuration are obtained. These equivalent circuits allow one to use a circuit simulator to model the crosstalk, reflection, and simultaneous switching noises that are common in computer packages. The finite difference time domain (FDTD) algorithm is used to obtain the full-wave electromagnetic field solutions from which the equivalent circuits are determined. <<ETX>>
The Effect Of Health Insurance On Health Care Utilization: Evidence From Malaysia

The link between health insurance ownership and over-utilization of health care services are highly debated. This paper examines the effect of insurance ownership on hospital utilization within the context of Malaysia. The study employs the data from Malaysia National Health and Morbidity Survey III and 14,223 respondents are selected for this purpose. Malaysia provides new evidence from an emerging market where voluntary purchase of private health insurance co-exists with almost free public health care. Logit model is used to identify the effect of insurance ownership on the probability of utilizing health care while the zero truncated Poisson model are used to identify the role of insurance ownership on the intensity of utilization. From the analysis, it is found that insurance ownership determines access to health care but it does not influence frequency of use. The findings suggest moral hazard problem may not be prevalent in the Malaysian health insurance market. Thus, institutionalizing health insurance through initiative such as national health insurance may be a sustainable program and give better access to care for the public. © 2016 Published by Future Academy www.FutureAcademy. org.uk
Aligning organizations and their information technology infrastructure: How to make information technology support business

A modern organization, in order to develop or survive, has to encounter decision issues that are simultaneously complex and unpredictable. Such a decision-making or problem-solving environment directs attention to the problem-solving and information-processing properties of the organization. The concepts of organizational problem solving and information technology management are instantiated and the problem-domain of organizational information technology investments looked into. Referring to research mainly in the fields of economics, organization theory, information theory and information systems management, key concepts in this problem domain are explored and reasoned. The reason is that these very concepts are often misunderstood when actual decisions about information technology are made. The key concepts are: information technology infrastructure, information technology application, communication, message transmission, learning and knowledge, especially the variants of partial knowledge called risk and uncertainty. Also included is an experimental conceptual fitting of the theoretical reasoning in the concept of solving information technology issues with methods based on simulation.
Text Summarization of XML documents in Croatian

The paper describes automatic summarization of the XML documents in Croatian language. The goal of the summarizer is to generate extracts with high percent of extract-worthiness and similarity to the author's abstract. Our research shows that extracts generated using our algorithm are well formed, but it also shows that algorithm is very domain dependant. The research brought us to conclusion that we should develop the implementation of the Porter’ s stemming algorithm in order to improve the text summarization for Croatian language.
Learning deep features with adaptive triplet loss for person reidentification

Person reidentification (re-id) aims to match a specified person across non-overlapping cameras, which remains a very challenging problem. While previous methods mostly focus on feature extraction or metric learning, this paper makes the attempt in jointly learning both the global full-body and local body-parts features of the input persons with a multichannel convolutional neural network (CNN) model, which is trained by an adaptive triplet loss function that serves to minimize the distance between the same person and maximize the distance between different persons. The experimental results show that our approach achieves very promising results on the large-scale Market-1501 and DukeMTMC-reID datasets.
Validez del diagnóstico de trastorno por déficit de atención/hiperactividad:: de lo fenomenológico a lo neurobiológico (I)

Los criterios diagnosticos para el trastorno por deficit de atencion/hiperactividad (TDAH) fueron definidos por la clasificacion estadistica de las enfermedades mentales propuestas por el consenso de la Asociacion Americana de Psiquiatria en el Manual diagnostico y estadistico de los trastornos mentales, cuarta edicion (DSM-IV) y la Organizacion Mundial de la Salud en la Clasificacion Internacional de Enfermedades, decima revision. La Asociacion Americana de Psiquiatria utilizo un analisis de validez interna para seleccionar los sintomas especificos asociados con el trastorno y construir cinco criterios transculturales para realizar el diagnostico categorico. El DSM ha sido usado por los clinicos y los investigadores como una herramienta estable y valida desde 1968. La presente revision busca identificar el origen de la validez del diagnostico de TDAH segun el sistema clasificatorio propuesto por este manual. Para tal efecto, y con base en el desarrollo historico del trastorno, se parte de la revision documental exhaustiva de un amplio cuerpo de publicaciones en ingles y espanol que hacen referencia a los conceptos clinicos de disfuncion cerebral minima, hiperactividad, inatencion e impulsividad desde 1932 hasta 2011. Posteriormente, se establece una descripcion de las metodologias estadisticas usadas en las diversas clasificaciones y definiciones de las diferentes versiones del DSM para establecer al TDAH como un constructo valido desde el punto de vista psicometrico y epidemiologico. Finalmente, se analizan y discuten algunos elementos relacionados con los cambios que se pudieran introducir en las futuras versiones del manual.
Analysis of Printed Fabric Pattern Segmentation Based on Unsupervised Clustering of K-Means Algorithm

Fabric segmentation has recently increased widely in diverse fields of computer technology of which printed fabric pattern is of no exception. This is due to the fact original printed fabric is just inadequate to extract suitable information for further applications. In textile industry, automation inspection for pattern recognition helps not only to improve fabric quality but also to reduce cost and wastage of time since human inspection is not 100% guaranteed. Printed fabric samples are washed, ironed, scanned and then preprocessed with median filter and segmented by k-means clustering algorithm. In this paper, we present a thorough analysis of k-means algorithm on printed fabric pattern as input data considering time taken on the unsupervised clustering. Thorough analysis of experimental results demonstrated that the complexity in clustering has reduced to its minimal with good application specific and good time yield.
Evolution of composition framework in a distributed system toolkit

Network Centric Information Infrastructure (NCII) is a toolkit of prefabricated software components together with a composition framework for integration and experimentation. Typical distributed system applications of a toolkit such as NCH can be applied to air traffic management, shop floor control and in-flight connection to Internet. The composition framework has gone though through three generations of changes in the past five years and it is a good illustration of a paradigm shift from object-oriented architecture, through component-based architecture to service-based architecture.
Implantation de programmes d'éducation thérapeutique de patients vivant avec le VIH dans quatre pays à ressources limitées. Approche évaluativ e Implementation of therapeutic education programmes for patients living with HIV in four low-income countries: an evaluative approac h

(1) Format Sante, Association pour le developpement de l’education et de la formation en sante, 3, rue Pasteur, 94340 Joinville le Pont, France. (2) Laboratoire de pedagogie de la sante UPRES EA 3412, Universite Paris 13, Bobigny, 93, France. Resume : Cette etude porte sur les conditions d’implantation de programmes d’education therapeutique concernant les patients vivant avec le VIH, dans 7 structures de soins reparties dans 4 pays a ressources limitees (Maroc, Senegal, Congo, Cambodge). Les objectifs ont consiste a reperer comment l’education therapeutique etait integree dans la prise en charge des patients vivant avec le VIH dans ces differents contextes, apprecier la qualite du processus educatif et identifier les elements favorables a la perennisation de l’education therapeutique du patient. La methodologie d’evaluation s’est appuyee sur les criteres et indicateurs de qualite d’un programme d’education therapeutique. Les resultats montrent que l’integration de l’education therapeutique dans chacune des structures evaluees est reelle mais qu’elle varie en fonction d’elements lies au contexte de soins, aux acteurs de sante et au niveau de reconnaissance institutionnelle de l’education therapeutique. La perennisation de ces programmes etait, au moment de l’etude, assuree par le soutien des coordinateurs de programme aupres des equipes formees et par l’inscription progressive de l’education therapeutique dans les politiques de sante regionales ou nationales.
Die Genauigkeit von Längen- und Winkelmessungen im Röntgenbild und Sonogramm des kindlichen Hüftgelenkes

: The results of measurement of length and angles in the x-ray and ultrasound image of the infantile hip joint are dependent on the different shape of the joint but also on different x-ray projections, on a limited accuracy and incorrect technique in measurement. From our investigations on the accuracy of measurement a differentiation between normal and pathological infantile hip joints is not possible by measuring geometrical data in the x-ray resp. ultrasound image. In the x-ray the greatest possible error of the acetabular angle is +/- 3 degrees, that of the so-called "AMC-angle" +/- 5 degrees and of the Alpha- and Beta-angle in the ultrasound image +/- 10 degrees. Thus the collection of geometrical data in the x-ray and ultrasound image of the infantile hip joint is not more reliable than a qualitative assessment orientated on the osseous resp. cartilaginous corner of the acetabulum.
Estrogen and Progesterone Receptors in Benign Breast Epithelium

Abstract: Estrogen and progesterone are necessary for lobulo‐alveolar development of the human breast, and there is an abundance of epidemiologic literature implicating estrogen and possibly progesterone exposure as promoters of breast malignancy. The investigation of estrogen receptor (ER) and progesterone receptor (PgR) distribution in normal and benign breast tissue may be a measure of susceptibility of the tissue to these hormones. Earlier data from radioligand binding assays showed that benign breast tissue expressed little or no ER; newer immunohistochemical (IHC) methods have led to the investigation of benign breast tissue from at least 1243 women in 12 studies in the last 9 years. These show that the level of expression of ER and PgR in normal breast epithelium is significantly lower than in receptor positive carcinomas. Immunostaining patterns for both receptors show a great deal of heterogeneity. There is general agreement that stromal and myoepithelial cells are negative for both ER and PgR. A growing body of evidence suggests that PgR is the dominant sex steroid receptor in the normal breast. Mean values for PgR positive cells in breast epithelium range from 24% to 29%; ER is positive by IHC in 3% to 15.6% of normal breast epithelial cells. No firm conclusions are possible as yet regarding overexpression in proliferative epithelium. There is agreement that the proportion of ER positive cells declines in the second half of the menstrual cycle, but there is no clear cut relationship between PgR positivity with the menstrual cycle. Oral contraceptive use appears to decrease the proportion of ER positive cells, and increase mammary epithelial proliferation. A recent case‐control analysis of epithelial ER and PgR status reports an association of ER positive benign epithelium with the presence of cancer in the breast. Future research should include a systematic quantitative analysis of receptor expression in epithelial proliferative lesions, and the longitudinal follow‐up of women who have had receptor testing on benign breast tissue.
Association d'un traitement insecticide avec la méthode du mâle stérile contre Glossina palpalis gambiensis : intérêt de la mise en oeuvre de plusieurs méthodes

La methode du mâle sterile a ete utilisee selon deux modalites, d'une part seule sur 2,8 km de galerie forestiere (Guimpy-Nord) et, d'autre part, associee a un traitement insecticide non remanent sur 2,2 km d'une autre galerie (Dienka). Les sondages reguliers ont montre que le rapport mâle sterile/mâle obtenu a ete d'au moins 10/1 sur chaque gite. L'espece-cible G. p. gambiensis a regresse regulierement par rapport a G. tachinoides et sa densite est devenue nulle au bout de 24 mois sur le premier gite et au bout de 19 mois sur le deuxieme. L'association des deux methodes (chimique et genetique) cree une synergie interessante. Il en serait de meme de l'utilisation du piegeage continu avec la methode genetique
Incremental / Online Learning and its Application to Handwritten Character Recognition

In real world scenarios where we use machine learning algorithms, we often have to deal with cases where input data changes its nature with time. In order to maintain the accuracy of the learning algorithm, we frequently have to retrain our learning system, thereby making the system inconvenient and unreliable. This problem can be solved by using learning algorithms which can learn continuously with time (incremental/ online learning). Another common problem of real-world learning scenarios that we often have to deal with is acquiring large amounts of data which is expensive and time consuming. Semi-supervised learning is the machine learning paradigm concerned with utilizing unlabeled data to improve the precision of classifier or regressor. Unlabeled data is a powerful and easily available resource and it should be utilized to build an accurate learning system. It has often been observed that there is a vast amount of redundancy in any huge, real-time database and it is not advisable to process every redundant sample to gain the same (already acquired) knowledge. Active learning is the learning setting which can handle this issue. Therefore in this research we propose an online semi-supervised learning framework which can learn actively. We have proposed an "online semi-supervised Random Naive Bayes (RNB)" classifier and as the name implies it can learn in an online manner and make use of both labeled and unlabeled data to learn. In order to boost accuracy we improved the network structure of NB (using Bayes net) to propose an Augmented Naive Bayes (ANB) classifier and achieved a substantial jump in accuracy. In order to reduce the processing of redundant data and achieve faster convergence of learning, we proposed to conduct incremental semi-supervised learning in active manner. We applied the proposed methods on the "Tamil script handwritten character recognition" problem and have obtained favorable results. Experimental results prove that our proposed online classifiers does as well as and sometimes better than its batch learning counterpart. And active learning helps to achieve learning convergence with much less number of samples.
Driving assessment - a case of need

The ability to drive a car is important for the retention of independence within modern Western society. However, the assessment of car-driving ability is not normally part of a rehabilitation programme. This study has made an assessment of the demand for such a service in a random selection of disabled people in Newcastle upon Tyne. A total of 11 000 people were screened using the OPCS disability questionnaire. The disabled population identified with a predominant physical disability aged 16-80-years-old was sent a further questionnaire regarding driving status. One-hundred-and-nine current disabled drivers were identified, very few of whom had received any advice on car choice or car adaptations. Twenty per cent of the disabled population felt they would have benefited from advice from a driving assessment centre. A subgroup of 39 people attended for a more detailed driving assessment. Twenty-three people in this group were current drivers and it was felt that 17 could have benefited from further advice, particularly regarding car and control adaptations. A total of 16 ex- drivers or nondrivers were also evaluated and 11 of this group were felt capable of driving after appropriate advice. Overall this study has demonstrated the need for access to advice on ability to drive and car adaptation. A large number of the disabled population proposed that driving assessment and advice should be an integral part of a rehabilitation programme. There should be an increase in the number of properly equipped driving assessment centres in this country.
High spatial resolution radar altimeter for ocean and ice-sheet monitoring

The monitoring of the ice-sheet height over Antarctica and Greenland is of primary importance for climate studies. The required height accuracy is of the order of a few centimetres. Current spaceborne altimeters are pulse-limited and therefore fail to deliver high accuracy surface height measurements over land and ice because of pulse spreading and slope induced errors. Moreover, sudden changes in the topography often result in a loss of track. Several techniques have been investigated during the past ten years in order to improve the spatial resolution of radar altimeters and therefore the accuracy of elevation estimates over terrains. Most of these techniques result in a significant increase in cost and complexity compared to a conventional altimeter. This paper presents the results of a recent feasibility study for a spaceborne high-spatial resolution radar altimeter (HSRRA) performed by Alcatel and the University College of London for the European Spatial Agency (ESA). This paper gives an overview of the concept and of the processing scheme. The theoretical altimeter waveforms derived for a flat tilted surface are also presented and discussed.
Born of Big Brother: celebrity, interactivity and the thinnest of screens

With the advent of reality TV phenomena such as Big Brother (BB), a new form of celebrity was born: one raised hand-in-hand with interactive media technologies. From among the various platforms that BB straddled, audiences could weave together their own meanings and pleasures as well as, for the first time, perhaps, act directly upon the very creation of media personalities themselves. Interactivity not only allowed the public to claim active ownership in the co-creation of celebrity, but freed it to ‘override’ previously sacrosanct production and editorial decisions. Constrained within admittedly ‘locked in’ parameters (Lanier, 2010), the viewer could be said to have become the director. At its simplest, BB UK consisted only of the main daily broadcast and Friday night eviction shows, yet it also incorporated sibling programmes Big Brother’s Little Brother, Big Brother’s Big Mouth and Big Brother Live (a time-delayed stream that aired intermittently across Channel 4’s broadcast and ‘red button’ services, as well as being available 24/7 on the BB website). Interactivity was integral to BB, marked from its outset by the ability to audition to become a housemate. It was available in a variety of guises and platforms, including eviction telephone votes, as well as via the format’s web offerings. BB’s reign spanned a widespread shift in consumption habits that not only saw the bridging of platforms, but with the introduction of two-screening, or even multi-screening, saw platforms being bridged simultaneously, while its broadcast run on Channel 4 covered a significant period of experimentation and consolidation of cross-platform formats within the UK television industry (see Roscoe, 2004; Bennett and Strange, 2008). There appear currently to be two distinct streams within cross-platform development: the ‘platform-led’, such as Doctor Who (1963–), for example, which was born to one platform, television in this case, but has since spread to the far reaches of the media universe; and a ‘conceptual’ form, which is shaped in the space between platforms, and finds utility in appropriate platforms. BB arguably sat within the latter, and existed as much among the porous diegesis of the cross-platform world as it did within the bricked-in diegetic walls of the broadcast ‘house’. In Janet Jones’ fan study of BB, she suggests that audiences use ‘multiple delivery platforms to create [. ] meaning’, as well as to actually ‘own the process of viewing’ (2003, p. 404, author’s italics). In accepting this standpoint, it is possible to see how interactive cross-platform phenomena can free an audience to move from a preferred ‘consumption’ to a negotiated or even contested one, and allows for a parallel argument to be made that even
Influence of image sequence distortion on infrared target detection

Because of the platform motion and system internal asymmetric structure, Satellite-borne infrared imaging system will generate image geometric distortions such as translation, rotation, distortion and scaling, which make the subsequent target detection result not accurate. Therefore, we propose an image distortion method and deeply analyze the influence of infrared image distortion on the SNR of infrared weak small targets, detection probability and false alarm probability. The simulation results show that the image distortion directly affects the subsequent performance of the infrared target detection and tracking algorithm by changing target geometric imaging and signal to noise ratio. The research result in this paper would have great application value in the satellite-borne infrared alarm/warning system.