Miracle-dz/UniFAR-FTUs huggingface dataset:
Computing with large random patterns

We describe a style of computing that differs from traditional numeric and symbolic computing and is suited for modeling neural networks. We focus on one aspect of ``neurocomputing,'' namely, computing with large random patterns, or high-dimensional random vectors, and ask what kind of computing they perform and whether they can help us understand how the brain processes information and how the mind works. Rapidly developing hardware technology will soon be able to produce the massive circuits that this style of computing requires. This chapter develops a theory on which the computing could be based.
Real-World Deployments of Participatory Sensing Applications: Current Trends and Future Directions

With the advent of participatory sensing (sensors integrated with consumer electronics such as cell phones and carried by people), exciting new opportunities arise. Mobile sensors (e.g., those mounted on cars or carried by people) can provide spatial sampling diversity not possible with traditional static sensor networks. Recently, participatory sensing has attracted considerable attention of research community. In this paper, we survey existing participatory sensing deployments and discuss current trends and few possible future directions.
Entwicklung einer taktilen Fußsohle für einen humanoiden Roboter

In dieser Masterarbeit wird eine taktile Fussohle fur den humanoiden Roboter „LoLa“ weiterentwickelt. Der taktile Sensor nutzt das Transduktionsprinzip der Piezoresistivitat, um die Kontaktbedingungen und die angelegte Kraftverteilung auf den taktilen Pixeln (Taxel) zu bestimmen. Zunachst wird ein Sensormodell zur Berechnung der Druckverteilung auf der Fussohle vorgeschlagen. Aussagekraftige Kontaktparameter, wie die Kontaktflache, der Flachenschwerpunkt und die geometrischen Tragheitsmomente werden durch Anwendung von Bildverarbeitungsverfahren identifiziert. Zur experimentellen Absicherung werden alle Methoden auf einer Echtzeitplattform mit Simulink implementiert. Die besten Algorithmen werden anschliesend auf einem Mikroprozessor in C umgesetzt. Auserdem wird ein Prufstand entworfen, mit dem eine zuverlassige und wiederholbare statische und dynamische Absicherung gewahrleistet werden kann. Das Ziel ist es, eine taktile Fussohle zu entwickeln, die in die Systemstruktur von LoLa integriert werden kann und dazu beitragt, dass der humanoide Roboter Lola sicherer und effizienter lauft.
Neuropedagogy in Early Childhood in Hungary: Foundations and Micro-investigation

3 Neuropedagogy is an emerging field of study in Hungary. This article provides an overview on the professional directions and works in which The International Research Team and Laboratory of Neuropedagogy (NeuPedLab) at the Sopron University, Benedek Elek Faculty of Pedagogy, in Sopron, Hungary is engaged. First, the article reports on the theoretical approaches of neuropedagogy in Hungarian early childhood education. In the context of international research, the article also reports on the findings of a pilot study on Hungarian early childhood teachers’ understanding and willingness to use information about brain development in their everyday practice. The article concludes with highlights about the importance of infusing knowledge about the brain and pedagogy to maximize young children’s
Who comes to a paediatric medical outpatient clinic

A clinical audit was undertaken of all new patients (first referral) to a paediatric outpatient department over a six month period. There was a total of 542 children, of whom 59% were referred by a general practitioner and the remainder by paediatricians or other consultants. The conditions for which general practitioners most frequently referred children were cardiac murmurs and urinary tract problems, whereas respiratory disease, especially asthma, and hip and orthopaedic conditions were the common referrals from the specialists. Forty-four percent of general practitioner referrals were seen only once and then discharged, and there was a very low level of cross-referral to other disciplines.
Case report of brentuximab vedotin utilization in a young woman with multiply relapsed Hodgkin lymphoma

T he CD30 targeted antibody drug conjugate brentuximab vedotin (BV) represents a relatively recent and novel mechanism of drug delivery and presents an exciting new option for treatment of relapsed and refractory disease. We present the case of a 31-year-old woman with multiply relapsed Hodgkin lymphoma (HL), successfully undergoing treatment with BV. Our patient initially presented with axillary discomfort aggravated by exercise in May 2011. Later that year she developed uncomfortable right lymphadenopathy, shortness of breath, pruritus and night sweats. Nodular sclerosing HL was diagnosed by axillary node biopsy (Figure 1). Her disease was non-bulky stage IIB with involvement of more than 3 nodal sites and elevated erythrocyte sedimentation rate (ESR). She received 6 cycles of doxorubicin, bleomycin, vinblastine and dacarbazine (ABVD), requiring a 50% vinblastine dose reduction for neuropathy after cycle 3B. Interim restaging positron emission tomography (PET) showed a partial remission; however, end-of-treatment imaging showed a complete remission (CR). In November 2012 she developed a lump along her manubrium, which was followed clinically until April 2013, when PET/computed tomography (CT) imaging showed diffuse hypermetabolic lymphadenopathy. Treatment at that time included intensive salvage chemotherapy with cyclophosphamide, etoposide and cisplatin, followed by high-dose melphalan and autologous stem cell transplantation (ASCT) in July 2013. Prior to ASCT, the patient experienced a reversible neurologic deficit due to a cerebrovascular accident, which was likely related to a patent foramen ovale and central venous catheter-related left upper extremity thrombosis. She only achieved a partial remission (PR) to intensive salvage chemotherapy, and progressed shortly after ASCT. Mantle field radiotherapy was then administered in September 2013. Unfortunately, our patient went on to develop a second relapse in the manubrium in May 2014 that was initially followed without intervention. She became increasingly symptomatic, with profound fatigue, pain and constitutional symptoms, leading to the initiation of BV in January 2015. Subsequent PET/CT in March and August 2015 demonstrated CR (Figure 2). Complications have been limited to mild nausea following cycle 2 that was effectively managed with antiemetics, mild peripheral neuropathy following cycle 3 that has not appreciably worsened after 12 BV doses, and mild fatigue. She is planned to receive a total of 16 BV doses, and then is contemplating allogeneic hematopoietic stem cell transplantation (HSCT).
Transmission Time and Throughput analysis of EEE LEACH, LEACH and Direct Transmission Protocol: A Simulation Based Approach

This paper gives a brief description about some routing protocols like EEE LEACH, LEACH and Direct Transmission protocol (DTx) in Wireless Sensor Network (WSN) and a comparison study of these protocols based on some performance matrices. Addition to this an attempt is done to calculate their transmission time and throughput. To calculate these, MATLAB environment is used. Finally, on the basis of the obtained results from the simulation, the above mentioned three protocols are compared. The comparison results show that, the EEE LEACH routing protocol has a greater transmission time than LEACH and DTx protocol and with smaller throughput.
Séroprévalence de l'encéphalite à tiques d'Europe centrale en Lorraine.

INTRODUCTION : L'encephalite a tiques d'Europe centrale, due au virus TBE (TBEV), est exceptionnelle en France ou elle a ete decrite surtout en Alsace. Deux cas d'encephalite a TBEV ayant ete diagnostiques dans la region de Nancy, une etude seroepidemiologique a ete menee dans les 4 departements lorrains (Meurthe et Moselle, Moselle, Vosges, Meuse) au cours de l'annee 1996. METHODES : L'enquete, proposee a un millier de consultants des centres de medecine preventive, comportait 2 volets : un auto-questionnaire visant preciser les facteurs d'exposition aux morsures de tiques et une serologie de TBEV. RESULTATS : 1177 consultants ont participe a l'etude. La moitie des sujets vivaient en milieu rural, 91 % avaient des contacts occasionnels ou reguliers avec la foret et 21 % des antecedents de morsures de tiques. La serologie de TBEV etait positive en IgG chez 19 sujets (1,6 % ; IC = 95 % [0,9 % - 2,3 %]) ; 9 serums etaient aussi positifs en Western blot (0,76 %). Aucun serum n'etait positif en IgM. La seroprevalence etait plus elevee chez les sujets ayant des antecedents de morsures de tiques que chez ceux n'en ayant pas (2,9 % vs 1,3 %, p = 0,074). CONCLUSION: La faible seroprevalence du TBEV dans cette etude n'est pas en faveur de la diffusion du virus dans la population generale en Lorraine.
Contextual Void Patching for Digital Elevation Model

Digital terrain models can be created by gathering a set of measurements from geometric objects. For various reasons, these models may be incomplete such that fail to meet the requirements defined by their potential applications. In this work, we develop a novel multiresolution approach to repair the voids commonly found in digital elevation models (DEM). We use the overall shape and structure of the surrounding terrain to build a smooth patch for the void. Then, using a multiresolution obtaining from reverse Chaikin subdivision, we extract the low scale characteristics from the surrounding terrain and apply them to the smooth patch. The results demonstrate that our approach is effective at synthesizing models with realistic characteristics.
Conversing with Personal Digital Assistants: on Gender and Artificial Intelligence

This paper aims to explore the relationship between gender and artificial intelligence, seeking to understand how and why chatbots and digital assistants appear to be mostly female. To this end, it begins by addressing artificial intelligence and the questions that emerge with its evolution and integration in our daily lives. It then approaches the concept of gender in light of a binary framework, focusing on femininity. These topics are then related, in order to shed some light on how chatbots and digital assistants tend to display feminine attributes. In an attempt to observe these aspects, an analysis of Alexa, Cortana and Siri is developed, focusing on their anthropomorphization, the tasks they perform and their interactions. Complementing this discussion, the project Conversations with ELIZA is presented as an exploration of femininity in AI, through the development of four chatbots integrated into a web-based platform, each performing specific tasks and simulating particular personalities, with the purpose of emphasizing feminine roles and stereotypes. In this manner, this study aims to understand and explore how gender relates to AI, why femininity seems to be often present in AI and which gender roles or stereotypes are reinforced in this process.
Struggling for Identification: Female Identity and Queer Representation in Li Yu’s Films

This article aims to provide a historical analysis of the cinematic representation of female identity and queer sexuality based on Li Yu films (Dam Street and Fish and Elephant) in comparison with Urban (Sixth) Generation film directors. This article provides a detailed clarification on the ambivalent national construction of female identity that took place during the urbanization after the1980s. The term Chinese term “women’s cinema” has a close connection with social construction and political implication of female collective identities. Among the number of Chinese female directors, Li Yu is the first one to make a Chinese lesbian film. Li adopts the tradition of urban Generation directors in her early works: using non-professional actors and shooting in the documentaries’ style. Li focuses on the dilemmas of minor female figures in a chaotic era of urbanization in which Li expresses her own humanitarian concerns of pain and suffering through a pessimistic aesthetic sentiment.
Deep learning and Boltzmann machines

Deep neural networks are characterized by the large number of layers of neurons and by using layer-wise unsupervised pretraining to learn a probabilistic model for the data. A deep neural network is typically constructed by stacking multiple restricted Boltzmann machines (RBM) so that the hidden layer of one RBM becomes the visible layer of another RBM. Layer-wise pretraining of RBMs then facilitates finding a more accurate model for the data. Various papers (see, e.g., [2], [1] and references therein) empirically confirmed that such multi-stage learning works better than conventional learning methods.
Effects of Gender on Physical, Physiological, and Clinical Characteristics in Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Material and Methods: Seventy-one patients with acute exacerbation of COPD (44 males, 27 females) participated in this study. Physical and demographical characteristics, vital signs, admission findings, comorbidities, arterial blood gas values, and chest radiography findings were recorded. Level of consciousness was determined using the Glasgow coma scale. Acute Physiology and Chronic Health Evaluation II (APACHE II) score, acute physiology score, Charlson Comorbidity Index score, and Ottawa COPD Risk Scale score were calculated. Functional level was determined using the Functional Status Scale. Exercise capacity was analyzed. Treatments conducted for the subjects (medical treatment, respiratory support, and physiotherapy) were recorded.
Fuzzy logic and neural networks

Some basic principles of fuzzy neural computing using synaptic and somatic operations are presented. The neural systems based upon conventional algebraic synaptic (confluence) and somatic (aggregation) operations are briefly reviewed. A detailed neuronal morphology based upon fuzzy logic and its generalization in the form of T-operators are provided. For such fuzzy logic based neurons, the learning and adaptation algorithm is developed. <<ETX>>
Explanation Interfaces in Recommender Systems

In this thesis, we try to address several aspects of the explanation interface in a recommender system and create a design framework that can help guide future designers to successfully implement a user-friendly and highly effective explanation interface for a recommender system. This framework will also play an indicating role to assist us in analyzing existing explanation interfaces of recommender systems. By carrying out a review on previous research papers and a survey on existing commercial recommender systems, we aim to find out the academic and commercial best practices and hence formulate a set of draft design principles. Furthermore, by following our proposed analytical framework, we try to build a prototype system and perform two experiments to justify our research hypotheses and also test the usability of different explanation related functions and features. Finally, a survey will be used to collect users’ degrees of satisfaction towards these explanation related functions and their visualization techniques. After a full analysis of data collected from our experiments and survey, an explanatory statement of the proposed design framework and a refined set of design principles are concluded as the final academic outcome of this thesis. The major results can be found at the end of Chapter 4 and a summarized short conclusion is presented in Chapter 5.
Biomarcadores emergentes para la prevención primaria de la enfermedad cardiovascular y del accidente cerebrovascular

Gary L. Myers, PhD, Presidente Centers for Disease Control and Prevention Atlanta, GA Robert H. Christenson, PhD, Vicepresidente University of Maryland School of Medicine, Baltimore, MD Mary Cushman, MD,MSc University of Vermont, Colchester, VT Christie M. Ballantyne, MD Baylor College of Medicine, Houston, TX Gerald R. Cooper, MD, PhD Centers for Disease Control and Prevention Atlanta, GA Christine M. Pfeiffer, PhD Centers for Disease Control and Prevention Atlanta, GA Scott M. Grundy, MD University of Texas Southwestern Medical Center, Dallas, Texas Darwin R. Labarthe, MD, MPH, PhD Centers for Disease Control and Prevention Atlanta, GA Daniel Levy, MD Framingham Heart Study, Framingham, MA Nader Rifai, PhD Children's Hospital and Harvard Medical School, Boston, MA Peter W. F.Wilson, MD Emory University School of Medicine, Atlanta, GA
Cellular Functional Architecture of the Human Cone Photoreceptor Mosaic

Chromatic and high-acuity aspects of vision are mediated by cone photoreceptors, which sample the image relayed by the eye's optics and transduce it into the neural signals that give rise to perception. Our understanding of how individual cones function has largely been gleaned from in vitro electrophysiological preparations, which allow the experimenter to stimulate single receptors while simultaneously recording their outputs. Building upon these findings requires investigating how signals arising from single sensory input neurons are handled downstream by the nervous system, up to and including the perceptual stage. With these goals in mind, the tools to approach these questions in vivo must be developed. The challenges associated with studying the perceptions arising from single sensory receptors are not trivial--doing so requires an ability to visualize and repeatedly stimulate the receptor of interest, which can be difficult when it is situated within a densely packed array of similar cells that is itself contained within a sensory organ. The eye, however, represents a unique case because the receptor layer can be visualized directly through the transparent cornea and lens. The fidelity of this view is diluted only by optical imperfections in the refractive components of the eye. Advances in ocular imaging that have taken place over the past 20 years now make it possible to overcome these imperfections and image individual photoreceptors in vivo. The series of experiments described in this document involve the development of methods to overcome these obstacles, the application of this technology to study single-cone-driven perception in healthy subjects, and the translation of these tools to the clinical realm, where cone structure and function were studied with micron-scale resolution in patients with retinal disease.
Power line frequency field measurements in and about an office building located near a 240 kV transmission line

Measurements of power line frequency fields resulting from an alley on (vertical-conductor orientation), high-voltage transmission line located approximately 30 ft from the recently occupied New Orleans Corps of Engineers District office building are presented. Two sets of measurements were made, the first after completion of construction and immediately preceding occupation, and the second approximately a year later with the building in use. Conclusions drawn from the analysis of the data are discussed. Comparison of the electric field on the exterior of the building to that inside the building shows a considerable reduction. <<ETX>>
The applied technology of a Hardware-In-Loop simulation testing platform for reactive system based on the data-playback

Mathematics model is usually used in Hardware-In-Loop simulation testing in engineering. In order to improve the limitation of this technology, we utilize the working environment simulation modeling, the real-time test script technology and the data-playback technology to propose a portable data-playback based Hardware-In-Loop simulation testing platform technology for reactive system. It could contain 800MB data for playback, which were just about 240 minutes flying time of one flight track data. So, it has greatly reduced the actual flight sorties, saved test costs, and shortened the time period of field trials.
Flexible linearity profile amplifier for software defined applications

A highly linear Low Noise Amplifier (LNA) using a flexible feedforward linearisation scheme is described. The wideband LNA is designed for use in the frequency spectrum between 1 and 2GHz. It has a tuneable linearity profile which allows it to be adjusted for wideband moderate linearity or narrowband high linearity. The linearity can be tuned so a wideband Third Order Intercept Point (IP3) improvement of 4dB can be achieved from 1.3 to 1.7GHz or a narrowband (1MHz) 13dB improvement can be realised anywhere between 1.1 and 1.7GHz
BIMCloud: A Cloud Computing Approach to Partial Exchange of BIM Models

Currently, construction project participants collaborate with each other using building information modeling (BIM) technology in a file based manner. BIM models are often highly information rich and huge in size with a complex data structure, making file based BIM model exchange difficult. Several BIM schematic standards are available to formally represent and facilitate efficient sharing of BIM model information. Industry Foundation Classes (IFC) is a BIM standard widely used in the architecture, engineering and construction (AEC) industry to facilitate information sharing. As the AEC industry is project-based, fragmented, and dependent on fast changing information by nature, a server based approach for storage and exchange of BIM models is desirable to integrate fragmented project participants over the web for building design and management. In this paper, a distributed cloud computing server based approach to storing and sharing BIM models is proposed. Cloud computing is a recent technology for storing data and performing complex computations on a distributed manner. Cloud computing facilitates parallel data processing by splitting the job to multiple virtual machines. Cloud computing also provides on demand hardware and software services to avoid expensive initial costs. Unlike in the traditional approach where every end user has his/her own version of BIM model, the cloud based framework presented in this paper provides a centralized server where integrated BIM models are stored and customized BIM models can be obtained. The end users could download or upload partial models by executing updates on the integrated building model in the server. This enhances the information sharing efficiency as only the key information is shared instead of sharing the entire model. In addition, data retrieval and updating become faster due to the concept of parallel processing. An example scenario is presented in this paper to demonstrate the retrieval and updating of IFC building models in our proposed cloud based framework.
Neural Network Approach for Underwater Acoustic Communication in the Shallow Water

The transmitted acoustic signals are severely influenced by boundaries like as sea surface and bottom in the shallow water. Very large reflection signals from boundaries cause inter-symbol interference effect, the performance of the communication are degraded. Usually, to compensate the reflected signals under this kind of acoustic channel, is adopting the channel estimation based equalizers. In this study, we express neural network approaches for image data transmission in the shallow water. A simple neural network is adopted for the decision from output data. The QPSK system is used for the underwater acoustic communication simulations and experiments.
Survey on storage-oriented regular expressions matching algorithms

Regular expression matching is a key technology in current deep packet inspection. Basic ideas and methodology for storage-oriented regular expressions were introduced. The paper discussed the classification of algorithms,compared the main algorithms,and found out many factors of regular expression syntax that have influence on the algorithms. Finally,the key techniques and the difficulty were explored,and the study made suggestions on the algorithms design in future.