Miracle-dz/UniFAR-FTUs huggingface dataset:
Model driven framework to enhance sensor network design cycle

Recent advances in sensor network provide more and more equipment with a large amount of sensors and actuators. However, their adoptions in modern life face several challenges. First, sensor network design is complex and requires several steps including network sizing, hardware and software development, deployment, and data exploitation. Often, each step is managed by a particular tool. These tools are rarely connected to each other. Therefore, descriptions are required in each used tool. These multiple descriptions are costly in terms of development time and can lead to design errors. In order to address these issues, we propose a new model‐driven framework named Modesene to efficiently design a sensor network for different kind of application. Modesene is designed to ensure four main process including multifacets modeling, network simulations, deployment, and data exploitation. The proposed framework supports sensor network tools by providing bridges with these tools. Therefore, one description in Modesene can be automatically transformed in each used tool. The framework can perform simulations and code generation. It promotes a data‐driven approach; in fact, data obtained by simulations is used to drive design choices. We validate our framework through use case of smart building with two possible solutions. Based on Omnet++ simulator, Modesene can assess node lifetime, costs, and packets loss. Thereafter, the obtained results drive the choice of the suitable solution. Then, the code generator provides source codes for sensor nodes, gateway nodes, and for data exploitation. Compared to existing frameworks, Modesene deals with all design steps.
An investigation into associations between lower extremity comfort, injury and performance in elite footballers

Lower extremity injuries in running based team sports are extensive and debilitating. No studies to date have examined the contribution of lower limb comfort in preventing and or managing injuries. Objectives: Address one of the most common issues in professional football; the high incidence of lower extremity injury by examining the relation between lower limb comfort, injury and performance.
Trimming a high-fidelity multibody helicopter model for performance and control analysis

This paper brings forward the study of the dynamic behaviour of a novel lightweight helicopter featuring an innovative gimballed two-bladed main rotor. First, previous results for the isolated main rotor are extended for the case of free-coning under cyclic pitch perturbations and longitudinal gusts. Subsequently, the complete helicopter is modelled and a simple control system is derived and applied to steer the helicopter to steady hover and straight flight conditions, showing good characteristics also under gust perturbations.
Aplicación de los metaversos y la realidad virtual en la enseñanza

El objetivo de este articulo, es desarrollar una revision de literatura sobre el uso de los metaversos y la realidad virtual enfocada hacia la ensenanza. Teniendo en cuenta que la educacion vive un proceso continuo de cambio en busca de la calidad, el uso de nuevas herramientas favorece dicho proceso, por lo tanto, la utilizacion de las plataformas virtuales enfocadas a realidad virtual y metaversos son en esencia herramientas que dinamizan los procesos de ensenanza y aprendizaje, contribuyen a organizar y a actualizar los contenidos, y permiten que el estudiante y educando interactuen dentro del ambiente virtual. En este contexto, el presente trabajo se desarrollo basado en una metodologia exploratoria, descriptiva; utilizando las categorias metaversos, realidad virtual y ensenanza, se realizo una busqueda en las bases de datos Science, Scopus y web Science obteniendo cien articulos de referencia, de los cuales se analizan las categorias senaladas.
Two Types of a Doctrine of Objectivity in the Aesthetic Appreciation of Nature

Allen Carlson develops and justifies a doctrine of objectivity in the aesthetic appreciation of nature by means of epistemology. This doctrine is quite significant for the self-knowledge of aesthetic appreciation of nature and the healthy development of the aesthetics of nature. However, for concepts in environmental ethics and the requirements of contemporary environmentalism, another kind of doctrine of objectivity for aesthetic appreciation of nature is needed, namely, a doctrine of ethical objectivity, which rests the aesthetic appreciation of nature on acknowledging the intrinsic value of nature and respect for nature. Because of this doctrine, appreciators construe the good of nature as the beauty of nature. They genuinely apperceive, understand, and experience the properties and inherent value of nature. The new doctrine of ethical objectivity for aesthetic appreciation of nature is an important development to Carlson’s scientific, cognitive theory. Meanwhile, it’s also helpful to promote the connection between environmental aesthetics and environmental ethics.
Incidence and prevalence of Helicobacter pylori infection in three Portuguese cohorts.

5 Incidence and prevalence of Helicobacter pylori infection in three Portuguese cohorts Helicobacter pylori infection is the most important determinant for gastric cancer. The frequency of the infection in adulthood reflects the combined effect of a birth-cohort phenomenon and sustained acquisition throughout life. The occurrence of the different gastric outcomes of H. pylori infection also depends on the age at acquisition. Therefore, this thesis aims to identify factors associated with H. pylori infection at different ages (distinguishing the potentially critical periods of childhood and adolescence, in addition to adulthood), through the following specific objectives: 1) To quantify the prevalence and the incidence of H. pylori infection and the proportion of subjects infected with CagA-positive strains in a cohort of adults (EPIPorto) and to identify the major sociodemographic correlates of the infection (study I). 2) To quantify the prevalence and the incidence of H. pylori infection in a cohort of adolescents (EPITeen) and to identify risk factors for the infection (study II). 3) To quantify the prevalence of H. pylori infection in a cohort of children evaluated at ages between 4 and 5 years (Geração XXI), and to assess the independent effect of child-care attendance in the early life acquisition of the infection (study III). 4) To quantify the association between child-care attendance and H. pylori infection through systematic review and meta-analysis (study IV). These objectives were achieved through the conduction of four different studies: Study I Socio-demographic determinants of prevalence and incidence of Helicobacter pylori infection in Portuguese adults A study based on the EPIPorto cohort (a cohort of non-institutionalised adult dwellers in the city of Porto) was conducted to estimate the prevalence and incidence of H. pylori infection and to identify its major socio-demographic correlates in an urban population from North Portugal. Participants were recruited between January 1999 and December 2003 by random digit dialling, using households as the sampling frame, followed by simple random sampling to select one eligible person among permanent residents in each household, without allowing replacement of refusals. The selected participants were invited to visit the Department of Clinical Epidemiology, Predictive Medicine and
Approximation of Reliability in Single Step Models using the Interbull Standardized Genomic Reliability Method

Software for estimating breeding values within a single step system has become available in the last years. However, approaches to approximate reliabilities for those breeding values in routine dimensions have been rare. Last year, the Genomic Reliability Working Group of Interbull presented a general step-wise framework (Interbull Standardized Genomic Reliability Method, ISGRM) for approximating reliabilities which is applicable to two-step as well as to single-step models. For assessing the accuracy of the approach and its performance in the different steps, a small test data set (16.5k individuals in the pedigree, 4.3k of them with phenotypes, 5.8k of them genotyped) was created. Exact theoretical single step reliabilities could be obtained for this set via numerical inversion of the total system. These reliabilities were compared with values obtained with ISGRM. Results looked very promising for the genotyped individuals, while they were not completely satisfying for non-genotyped individuals in this data set. The lines of action of calculating effective record contributions for the genomic reference set and of considering the residual polygenic contribution were identified to have an influence on the performance. For larger routine data sets, however, not only the quality of the results, but also the possibility that all necessary calculations can be performed in a reasonable time frame with given hardware and software configurations is important. We thus assessed approximation options for different steps of ISGRM with the software ApaX99 and options to calculate reliabilities of direct genomic values via SNP reliabilities with the snp_blup_rel program. Performance testing in a routine data set for conformation traits in Fleckvieh cattle (~ 3.3M individuals in pedigree, ~ 1.4M of them with phenotypes, 78k of them genotyped) revealed that only the first step, namely the numerical inversion of a system with dimension n SNPs x n SNPs , is computationally demanding (took ~ half an hour time and 38 GB RAM in the given data set). All other steps could be performed without any larger memory or CPU requirements in very short time.
Knowledge of Diabetes among Diabetic Patients Attending Diabetes Clinic in Kathmandu, Nepal.

Introduction: The study was conducted to assess knowledge towards the disease and its consequences among diabetic patients attending in diabetic clinic in Kathmandu, Nepal. Methods: This descriptive hospital based study was conducted in Kathmandu, Nepal. Purposively one private hospital and one government hospital was selected for the study. Total of 162 respondents were taken for the study from each organization. The first come first serve basis was used for the selection of the respondents within the limited time period allocated for data collection. Results: Findings of this study revealed that knowledge regarding symptoms and complications of the disease was adequate from both government and private hospital. Frequent thirst was reported as most common symptoms of diabetes by 36.5 percent of respondents from government hospital and 63.5 per cent from private hospital. Mostly half of the respondents from government and private hospital had knowledge that it can affect heart (50.6 per cent), kidney (58.02 per cent) and eye (69.7 per cent). Almost all respondents (80.86 per cent) from government and private hospital had knowledge that they should have regular follow up with physician and follow order to prevent from its complications. Conclusion: The respondents were aware on detecting early complications of diabetes like periodic eye examination and visiting physician.
Development of a data acquisition method to train neural networks to diagnose gas turbine engines and gas pumping units

The application of neural networks is one of promising ways to improve efficiency when diagnosing aviation gas turbine engines and gas pumping units. In order to start functioning of such network, it should be trained first using the pre-defined training sets. These data should fully characterize work of the object in a wide range of operating modes and at various technical states of the diagnosticated assemblies. In addition, it is necessary to have a similar data set to monitor quality of the neural network learning. To train the network to recognize faults of one type, a set of 20‒200 or more training examples is required. Obtaining such information in operation or in full-scale tests is a rather long or costly process. A method for acquisition of training and control data sets was proposed. The sets are intended to train static neural networks recognizing single and multiple faults of the elements of air-gas channels of gas turbine engines and gas pumping units. The method enables obtaining sets of working process parameters describing operation of objects at various technical states of an air-gas channel, effect of measurement errors and object functioning in a wide range of modes and external conditions. Composition of the pumped gas is additionally taken into account for gas pumping units. To obtain the required parameters, a mathematical model of the working process of the object of the second level of complexity was used. The sets characterize work of operable objects and objects with significant malfunctions in spools of compressors and turbines and in a combustion chamber and for the case of a gas pumping unit, in its supercharger. Two variants of formation of sets were considered: using the measured parameters of the working process; deviations of the measured parameters from their reference values and the parameters used as regime parameters in the mathematical model of the working process. For the second variant, check of expediency of including the regime parameters in the sets was made. It has been shown that regime parameters can be excluded from data sets in some cases
A Smartphone 3D Positioning Method using a Spinning Magnet Marker

In recent years, the importance of location information has increased due to the popularization of terminals such as smartphones. Our purpose is to estimate the 3D position of smartphones within several centimeters. This location information can reveal a person’s behavior patterns and subject of interest. A method based on dynamic magnetism can estimate the 3D position of a terminal within several centimeters, and it is robust against the environment. However, since the performance of the smartphone’s magnetic sensor is limited, this method cannot be used in smartphones. In this research, we propose a smartphone 3D positioning method using a Spinning Magnet Marker (SMM) that spins a powerful neodymium magnet with a motor. Magnetoquasistatic field generated by an SMM is detected by a magnetic sensor mounted on a smartphone, and the 3D position of a smartphone based on the SMM is estimated from the magnetism. We developed an SMM with a stepper motor to improve estimation accuracy. In addition, we studied the magnetism generated by an SMM and derive equations to estimate the 3D position of a smartphone. Furthermore, we improved the estimation accuracy and expanded coverage by introducing a noise reduction method. We evaluate the estimation accuracy of the proposed method. When the azimuth angle is 0◦, the elevation angle is 0◦, and the distance is 3 m, the azimuth angle is estimated with a mean error of 1◦, the elevation angle is estimated with a mean error of 4◦, and the distance is estimated with a mean error of 9 cm.
Influences du contrôle inhibiteur et des schémas collectifs sur la mémoire individuelle : étude en électrophysiologie et imagerie cérébrale fonctionnelle

L’oubli est un mecanisme essentiel au fonctionnement de la memoire. Ceci est vrai lorsque l’on considere la memoire de l’individu, qui est l’objet privilegie de la neuropsychologie, mais cela est egalement le cas lorsque nous considerons les usages sociaux, culturels et historiques de la memoire qui sont les objets d’etudes privilegies de l’histoire et des sciences humaines. Dans ce travail, nous avons cherche a comprendre l’influence conjointe des capacites de controle inhibiteur et de l’encodage de representations collectives sur la conservation des souvenirs episodiques. Nous avons aborde la question de l’oubli volontaire a l’aide du paradigme "Think/No-Think" qui permet l’induction experimentale d’intrusions mnesiques, de leur controle et de leur oubli. Nous avons tout d’abord montre, en electrocardiographie et en electroencephalographie, que les capacites d’oubli volontaire influencent directement la manifestation physiologique des emotions qui peuvent leur etre associees. Ce resultat a ensuite ete complete par une etude, a l’aide d’analyses de classification multivariees, montrant que les dynamiques neurales qui encadrent la suppression effective des souvenirs, lorsqu’ils apparaissent involontairement a la conscience, sont comparables aux reflexes de reorientation attentionnelle qui peuvent intervenir lors d’interferences sensorielles ou perceptives. Enfin, nous abordons l’influence des schemas presents en memoire collective sur l’encodage des souvenirs a travers une etude en imagerie par resonance magnetique fonctionnelle.
An Implantable Low Pressure Biosensor Transponder

The human body’s intracranial pressure (ICP) is a critical element in sustaining healthy blood flow to the brain while allowing adequate volume for brain tissue within the relatively rigid structure of the cranium. Disruptions in the body’s maintenance of intracranial pressure are often caused by hemorrhage, tumors, edema, or excess cerebral spinal fluid resulting in treatments that are estimated to globally cost up to approximately five billion dollars annually. A critical element in the contemporary management of acute head injury, intracranial hemorrhage, stroke, or other conditions resulting in intracranial hypertension, is the real-time monitoring of ICP. Currently such monitoring can only take place short-term within an acute care hospital, is prone to measurement drift, and is comprised of externally tethered pressure sensors that are temporarily implanted into the brain, thus carrying a significant risk of infection. To date, reliable, low drift, completely internalized, long-term ICP monitoring devices remain elusive. In addition to being safer and more reliable in the short-term, such a device would expand the use of ICP monitoring for the management of chronic diseases involving ICP hypertension and further expand research into these disorders. This research studies the current challenges of existing ICP monitoring systems and investigates opportunities for potentially allowing long-term implantable bio-pressure sensing, facilitating possible improvements in treatment strategies. Based upon the research, this thesis evaluates piezo-resistive strain sensing for low power, submillimeter of mercury resolution, in application to implantable intracranial pressure sensing.
Effectiveness of a peer leader supported diabetes self-management support program on patient assessment of care for chronic conditions (PACIC)

Diabetes is a complex chronic disease which requires patients to integrate numerous actions into their daily lives for successful management. Peer leader supported diabetes self-management support (DSMS) is a promising efficient method for delivery of diabetes education in high risk communities. The objective of this study was to evaluate the effectiveness of a peer leader supported DSMS program on the Patient Assessment of Care for Chronic Conditions (PACIC). This paper specifically focused on the impact of peer leaders on patient-rated experience of self-management support as measured by the PACIC. The study was a prospective, multisite, cluster randomized controlled trial. The intervention group received diabetes self-management education (DSME) plus peer leader supported DSMS, while in the control group, patients participated in DSME and DSMS conducted by diabetes educators. Two-hundred-twenty-one patients with diabetes were recruited from seven primary care practices at baseline, 119 in the intervention group and 102 in the control group. The overall PACIC score was not significantly associated with the peer leaders support, however the model revealed a significant positive interaction between the groups and the change in the slope of the PACIC score throughout the study (p=0.004). This indicated that v there was a steeper increase in total PACIC scores over time in the intervention group than in the control group. PACIC scores increased with baseline PACIC scores, but the increasing rate declined as baseline scores increased. In this study, there were no associations between the PACIC score and age or education level. However, there was a relationship between overall Diabetes Empowerment Scale score and total PACIC score. Associations were also seen in the subscales of patient activation, delivery system design, collaborative problem solving and follow up. This study provided a patient-centered approach to assess the quality of service in a peer support DSMS program. Additionally, given limited health resources, this study has public health significance in confirming that peer leader supported DSMS can make greater use of community resources and gain similar effectiveness at lower cost.
Introducción a los corpus lingüísticos

Como linguistas y como ingenieros nos enfrentamos a situaciones en las que estas areas se mezclan: requerimos de bases linguisticas para efectuar algunos desarrollos informaticos, tales como traductores y resumidores automaticos, sistemas de busqueda para la web o clasificadores de informacion; o bien, necesitamos automatizar procesos para crear diccionarios, realizar investigaciones filologicas, hacer busquedas y listas de palabras, entre muchas otras. Un caso concreto: se necesita un diccionario del vocabulario cientifico basico del espanol de Mexico. Como sabemos de donde extraer los terminos? , ? como validar tales palabras? , ? de que modo se pueden definir? , ? que herramientas tenemos a nuestra disposicion para facilitarnos la tarea? , ? que metodos podemos seguir para efectuar esta labor? Cuestiones como estas se trataran a lo largo de este libro. Los objetivos fundamentales son proporcionar el concepto de corpus, dar una guia de las tecnicas que pueden emplearse para operar un conjunto de datos textuales u orales y revisar con ejemplos existentes los resultados que se pueden obtener.
Pulp Friction: Exploring the Finger Pad Periphery for Subtle Haptic Feedback

Current haptic feedback techniques on handheld devices are applied to the finger pad or the palm of the user. These state-of-the-art approaches are coarse-grained and tend to be intrusive, rather than subtle. In contrast, we present a new feedback technique that applies stimuli around the periphery of the finger pulp, demonstrating how this can provide rich, nuanced haptic information. We use a reconfigurable haptic device employing a ferromagnetic marble for back-of-the device handheld use, which, for the first time, probes, without instrumenting the user, the periphery of the distal phalanx with localised stimulation. We present the design-space afforded by this new technique and evaluate the human-factors of finger-peripheral touch interaction in a controlled user-study. We report results with marbles of different diameters, speeds and a combination of poking, lateral vibration and patterns; present the resulting design guidelines for finger-periphery haptic feedback; and, illustrate its potential with use case scenarios.
Summary Time Oriented Record (STOR)—A Progress Report.

Abstract A Summary Time Oriented Medical Record System (STOR) has been designed as a potential replacement for the medical record for use in ambulatory care. As described at the Fourth Annual Symposium, this system has unique characteristics aimed specifically for management of patients with chronic diseases. It is hypothesized that this record design will improve information flow to practitioners at the time of decision-making in ambulatory care, while at the same time reducing manual recording requirements by the practitioner. This system has now been implemented in three specialty clinics at the University of California, San Francisco Medical Center. Rigorous evaluation techniques using prospective randomized control studies are being used in its evaluation. The clinical information includes patient problems, diagnoses, therapies, and ancillary test results. It is implemented on an IBM 4331 computer using the RAMIS data base management system.