Miracle-dz/UniFAR-FTUs huggingface dataset:
Approach to the Creation of a Multilingual, Medical Interface Terminology

Health care professionals experience difficulties in the correct medical registration of clinical work and in the efficient searching for answers to clinical questions. These difficulties arise often from a deficient interface between human and machine language. Terminological solutions are often naive attempts to standardize language and terms, with conceptual systems, which may overwhelm the users by their complexity, or be too restrictive to represent crucial details. Moreover, local, professional and cultural differences in vernacular expression are often not represented. We must take into account vocabulary differences between Specialists and General Practitioners talk-ing about the same medical fact. There are even more differences between the languages of patients and physicians. Also, the vocabulary being used evolves over time and space and many local expres-sions exist to designate the same diseases or body parts.
Another approach for resisting student resistance to formal methods

Students are generally not motivated to take formal methods courses or continue studying the subject. This note introduces an approach based on a new textbook designed to be used in the first year of a computer science curriculum. The essential features are the use of relevant programming tools, early coupling of specification and implementation, informal but "generative" reasoning, and material from several problem areas. The hope is that we can lay a strong foundation for future formal methods courses to build on, while remaining accessible to the wide variety of students taking such an introductory course.
Strategies and Challenges to Facilitate Situated Learning in Virtual Worlds Post-Second Life

Virtual worlds can establish a stimulating environment to support a situated learning approach in which students simulate a task within a safe environment. While in previous years Second Life played a major role in providing such a virtual environment, there are now more and more alternative—often OpenSim-based—solutions deployed within the educational community. By drawing parallels to social networks, we discuss two aspects: how to link individually hosted virtual worlds together in order to implement context for immersion and how to identify and avoid “fake” avatars so people behind these avatars can be held accountable for their actions.
An efficient hybrid classification system for high resolution remote sensor data

The classification of aerial and satellite remote sensing data has become a challenging problem due to the recent advances in remote sensor technology that led to higher spatial and spectral resolutions. This research paper presents novel sensor independent algorithms and techniques for dealing with the challenges of classification of high volume remote sensor data. A fast unsupervised band reduction method is proposed to lower the dimensionality of the input image. The band reduced image is then split into two mutually disjoint pure and mixed pixel subsets by a pixel segregator built using extended mathematical morphology techniques. A novel hierarchical spectral-spatial support vector machine based classifier that adaptively includes the usage of expensive spatial information based on the pixel categorization is proposed. The final thematic map is obtained after merging the classification results of the two subsets and fixed spatial neighborhood homogenization. The accuracy, efficiency and flexibility of the developed system are demonstrated by evaluating the classification results using several hyperspectral and multispectral data sets. The obtained results demonstrate that the proposed method performs significantly better than conventional classifiers while alleviating the computational complexity involved in generating spatial information.
Troubles du contrôle postural dans la Maladie de Parkinson. Apport de l'étude des saccades oculaires et implication de la région locomotrice mésencéphalique, à l'interface entre contrôle moteur automatique, volontaire et vigilance

Les troubles du controle postural (TCP) sont une cause majeure d’invalidite dans la maladie de Parkinson (MP) au stade evolue et sont frequemment associes aux RBD (REM sleep behavior disorders). Les substrats anatomiques des TCP sont mal connus. Ils reposent en partie sur des lesions de la region locomotrice mesencephalique (noyau pedonculopontin-PPN et noyau cuneiforme), egalement impliquee dans le controle du sommeil/vigilance et oculomoteur. Les saccades oculaires sont un modele de controle moteur dont la quantification est robuste et les reseaux largement elucides. Dans la MP au stade evolue, il existe une alteration des saccades volitionnelles qui pourrait etre associee aux TCP. Des dysfonctions des sous-reseaux du PPN pourraient participer a la survenue des TCP, du sommeil/vigilance et oculomoteurs.Notre objectif est de preciser les correlats physiologiques et anatomo-fonctionnels des TCP, et le substrat de l’association clinique entre TCP et RBD dans la MP. Nous confrontons l’etude de l’initiation du pas (ajustements posturaux anticipatoires-APA) et d’autres tests de marche-equilibre a l’etude des saccades, et analysons les reseaux locomoteurs, de vigilance et oculomoteurs du PPN en IRM fonctionnelle. Nous montrons pour la premiere fois que les patients avec instabilite posturale ont un allongement de la latence des antisaccades et de la duree des APA, inter-correles. La duree des APA est correlee aux anomalies de connectivite fonctionnelle entre le PPN et la SMA/preSMA. La presence de RBD est sous-tendue par des anomalies du reseau PPN-cortex cingulaire anterieur. L’allongement de la latence des antisaccades est associe a une desorganisation du reseau PPN-FEF.
Real-time road detection with image texture analysis-based vanishing point estimation

Visual perception is a key component of an autonomous vehicle system. Road detection is an essential function of a visual navigation system for an autonomous vehicle. Generally, detecting lane markings is a feasible and efficient approach to road detection. However, this method is not applicable for particular situations, e.g. rural roads without lane markings. Furthermore, lacking of sharp, smooth edges and homogeneous surface brings difficulties to road detection. A texture analysis based vanishing point estimation method is used to detect road in this paper. The idea is that consistency in texture leads to the vanishing point in an image. The method uses the Sobel filter to compute the texture orientations. Then the vanishing point of the road is voted from the orientation of the texture. Finally, the vanishing point is used to constrain the searching of two road boundaries since they pass through the vanishing point.
Institute of Physics Publishing Journal of Micromechanics and Microengineering Control of Pull-in Dynamics in a Nonlinear Thermoelastic Electrically Actuated Microbeam

This work deals with the problem of controlling the nonlinear dynamics, in general, and the dynamic pull-in, in particular, of an electrically actuated microbeam. A single-well softening model recently proposed by Gottlieb and Champneys [1] is considered, and a control method previously proposed by the authors is applied. Homoclinic bifurcation, which triggers the safe basin erosion eventually leading to pull-in, is considered as the undesired event, and it is shown how appropriate controlling superharmonics added to a reference harmonic excitation succeed in shifting it towards higher excitation amplitudes. An optimization problem is formulated, and the optimal excitation shape is obtained. Extensive numerical simulations aimed at checking the effectiveness of the control method in shifting the erosion of the safe basin are reported. They highlight good performances of the control method beyond theoretical expectations.
The coseismic deformation field of M=7.5 Mani earthquake in Tibet mapped by ERS interferometric SAR data

The earthquake in Mani, Tibet happened on November 8, 1997. A digital elevation map (DEM) was derived suc cessfully by using ERS-1/2 tandem data before the earthquake, then the deformation interferogram was calc ulated by combining topographic information with images obtained by the ERS-2 satellite before and after the earthquake. From the deformation interferogram, the crustal rupture can be identified and the deformation around the earthquake center and near the rupture can be estimated quatitatively. In this paper, the procedure of extracting surface deformation information and generating DEM for Mani area by using differential interferometric SAR is introduced, and surface deformation estimated by combining interfereogram and other information are analyzed.
Automatic Reduction of Artifacts in EEG-Signals

Electroencephalograms (EEG) are often contaminated with high amplitude artifacts limiting the usability of data. Methods that reduce these artifacts are often restricted to certain types of artifacts, require manual interaction or large training data sets. Within this paper we introduce a novel method, which is able to eliminate many different types of artifacts without manual intervention. The algorithm first decomposes the signal into different sub-band signals in order to isolate different types of artifacts into specific frequency bands. After signal decomposition with principal component analysis (PCA) an adaptive threshold is applied to eliminate components with high variance corresponding to the dominant artifact activity. Our results show that the algorithm is able to significantly reduce artifacts while preserving the EEG activity. Parameters for the algorithm do not have to be identified for every patient individually making the method a good candidate for preprocessing in automatic seizure detection and prediction algorithms.
Nonlinear Cloth Simulation

This research report describes a cloth simulation system including nonlinear behaviors. Our cloth model simulates the fabric as a complex yarn interlacing structure. This approach allows us to deal with the yarn scale problem by including the nonlinear interactions happening inside this structure. This model has three different components: the traction, the bending and the shearing. We also add new friction terms in order to reproduce the yarn interlacing structure and the nonlinear properties of a real cloth. Moreover, this representation avoids a detailed 3D geometric model of yarns which is almost always unusable in computer graphics. Furthermore, our physical model is based on the Kawabata Evaluation System (KES). It reproduces the behavior of a cloth using the parameters coming from direct measurements on real clothes. Therefore we propose an identification procedure to compute all the physical parameters of our model from the KES curves. Since many textile manufacturers use this KES to design their fabrics, we are able to accurately simulate their real fabrics in computer graphics using the manufacturer's parameters. The simulation of a complete garment made of these fabrics could also be achieved in a virtual fashion show to visualize its characteristics and/or flaws for example.
How to enlarge the bandwidth without increasing the noise in OP-AMP-based transimpedance amplifier

Increasing the bandwidth without degrading the noise performance represents the main challenge in the design of transimpedance amplifiers. This paper presents a novel circuit topology for a transimpedance amplifier that allows obtaining an improved tradeoff between equivalent input noise and bandwidth with respect to the conventional approach. The effectiveness of the new topology has been demonstrated by designing and testing a prototype of a transimpedance amplifier based on the proposed topology
On the control of power consumption in server farms via heavy traffic approximation

In this paper, we investigate optimal power management in parallel processing systems composed of one queue and several identical processing stations. Power consumption is controlled by putting some of the stations into an inactive state, where they consume less power but are unable to provide service. This way, we are faced with the conflicting objective of minimizing power consumption while maintaining a desired quality of service. The approach taken in this paper is to construct a diffusion model of the system. It is shown that, under limiting conditions, the system can be approximated by a reflected Brownian motion with a Markov jump drift parameter. The optimization problem is set as a stochastic optimal control problem and it is solved via the Markov chain approximation method. Some numerical data is also presented.
ADAPTIVE FUZZY TRACKING CONTROL FOR UNKNOWN NONLINEAR SYSTEMS

In this paper, an adaptive fuzzy controller (AFC) for a certain class of unknown nonlinear systems is proposed. The proposed approach employs a fuzzy system to approximate the unknown functions in designing the adaptive controller and an observer is designed to generate an error signal for the adaptive law. The free parameters of the AFC can be tuned on line based on the Lyapunov synthesis approach. The overall adaptive scheme guarantees the global stability of the resulting closed-loop system in the sense that all signals involved are uniformly and ultimately bounded. The design methodology is illustrated by application to the problem of balancing of an inverted pendulum on a cart.
Women ’ s labor force attachment and childbearing in Finland

This paper analyzes the impact of women’s economic activity, earnings and take-up of child home care allowance on childbearing, using a ten percent sample from a longitudinal register data set that covers the entire female population of reproductive age in Finland in 1988–2000. Results show that a woman’s economic activity and income were positively correlated with entry into motherhood and to a lesser extent with having a second child. This supports the notion of a common pattern of this relationship in the Nordic countries. In the light of Finland’s rollercoaster economic development in the 1990s, the effects of a change in female population composition by economic characteristics on the fertility trend were small.
An Efficient Random Decision Tree Algorithm for Case-Based Reasoning Systems

We present an efficient random decision tree algorithm for case-based reasoning systems. We combine this algorithm with a simple similarity measure based on domain knowledge to create a stronger hybrid algorithm. This combination is based on our general approach for combining lazy and eager learning methods. We evaluate the resulting algorithms on a case base of patient records in a palliative care domain. Our hybrid algorithm consistently produces a lower average error than the base algorithms.
Prevalence and Clinical Features of Detrusor Underactivity among Elderly with Lower Urinary Tract Symptoms: A Comparison between Men and Women

Purpose To identify the prevalence and clinical features of detrusor underactivity (DU) in elderly men and women presenting with lower urinary tract symptoms (LUTS). Materials and Methods We reviewed 1,179 patients aged over 65 years who had undergone a urodynamic study for LUTS with no neurological or anatomical conditions. DU was defined as a bladder contractility index <100 and a maximal flow rate (Qmax) ≤12 ml/s combined with a detrusor pressure at Qmax ≤10 cmH2O for men and women, respectively. Results Of the patients, 40.2% of men and 13.3% of women were classified as having DU (p<0.001). Types of clinical symptoms were not significantly different between patients with and without DU. In men, whereas the prevalence of bladder outlet obstruction (BOO) was constant across the age spectrum, the prevalence of DU and detrusor overactivity (DO) increased with age, and 46.5% of men with DU also had DO or BOO. In women, the prevalence of DU also increased with age, and the trend was more remarkable in women aged over 70 years. DU was accompanied by DO or urodynamic stress urinary incontinence (USUI) in 72.6% of the women with DU. Women with DU were found to have lower cystometric capacity and exhibited a greater incidence of reduced compliance than did women without DU. Conclusions DU was a common mechanism underlying LUTS in the elderly population, especially in men. One half of the men and three quarters of the women with DU also had other pathologies such as DO, BOO, or USUI.
Predicton of ESTSP Competition Time Series by Unscented Kalman Filter and RTS Smoother

This article presents a solution to the time series prediction competition of the ESTSP 2007 conference. The solution is based on op- timal filtering, which is a methodology for computing recursive solutions to statistical inverse problems, where a time varying stochastic state space model is measured through a sequence of noisy measurements. In the solu- tion, the overall behavior of the time series is first modeled by constructing a linear state space model, which captures most of the visible features of the time series. Residual analysis techniques are then used for correcting the yet unmodeled features of the time series. These corrections result in a non-linear state space model, which is solved using a combination of linear Kalman filter, non-linear unscented Kalman filter and Rauch-Tung- Striebel smoother. The unknown parameters of the state space model are optimized to give the best possible prediction over 50 steps. In this article, a solution to the ESTSP 2007 time series prediction competition is presented. The solution is based on modeling the time series with a non- linear state space model, which is then estimated with unscented Kalman filter and Rauch-Tung-Striebel smoother. The solution is similar to the time series prediction method used in (1), but the underlying linear stochastic model is different and an additional non-linear correction term is included in the model.
A Kind of Thought-The-Ground Hybrid Four-Wheel Drive System

For eliminating the defects of existing hybrid electric vehicle (HEV) powertrains when applied to four-wheel drive vehicles, a novel electro-mechanical driving axle combined through-the-ground hybrid four-wheel drive system is propounded. Through an integrated control strategy between electro-mechanical driving axles, the two axles can drive the vehicle respectively. The functions of differential drive and regeneration are fulfilled by an anti-direction bi-rotor motor (ADBRM) mounted into the electric driving axle. According to the operating principle of the new system, a Matlab/Simulink based simulation platform for the four-mass model and the ADBRM has been constructed. Finally, the simulation results demonstrate some transient output characteristics of the ADBRM in both curve following and slip cases. This output characteristics is much like that of a differential gear, therefore, the feasibility of a differential gearless powertrain is proved by the application of an ADBRM.
.1 Four Problems

We may then ask: Can we place bounds on g(m)? Can we characterize those subsets S which achieve the value of g(m)? Whereas in the case of vertex boundary, the optimal subsets S were found to be (near) Hamming balls, we shall see that for the edge isoperimetric problem these optimal sets are (near) subcubes. Because the problem of finding a set S with minimum edge boundary is dual to the problem of maximizing the number of edges between vertices in S, this result makes intuitive sense.
A sketch-based conceptual level data integration methodology

Nowadays, enterprises often need to integrate heterogeneous data sources for many purposes. Given the inherent complexity of this process, several solutions based on visual manipulation paradigms have been proposed to shoot at the complexity of low-level data integration activities. However, when dealing with complex data sources the use of visual notations might suffer from scale-up problems. One way to solve this problem is to raise the data integration activity at more an abstract level. In this paper, we present a methodology for reconciling data sources at the level of their conceptual Schemas. The methodology provides a sketch-based language for manipulating conceptual Schemas, a tool prototype, and logic based inference mechanisms to handle lower level schema integration, metadata generation, and loading of data from sources to the reconciled database. We also provide a usability study to prove the effectiveness of the proposed methodology.
Social work education crossing the borders: a field education programme for international internship

Abstract The demand for setting international social work education standards are on the rise. The increased prospects of global exchange in teaching learning process initiated by different international universities, as a part of their agenda for international collaboration and cross cultural immersion in the profession are major impetuses for the same. Social work interns who participated in international exchanges appreciated the need for knowledge of global priorities and strategies to advance social work education, research and skill development for practice which also has lead to future collaboration between the institutions in these areas. But there are many challenges for the intern as well as the institutions involved, which should be integrated during different phases of the exchange process. This requires meticulous planning from the part of host institution. This paper focus on the need for international social work, the challenges involved in international internship and the process and content of field education provided to the international students based on experience of the author. The intention of the paper is to propose a general model of international field education, which may be mutually shared and agreed by the home institution as well as the host institution.
WSN Routing Protocol Network Structure Protocol Operation Flat Based Negotiation Based Hierarchical Based Based Query Based Multipath Based QoS Based Coherent Based Location Based

Abstact: A WSN is a specialized wireless network made up of a large number of sensors and at least one base station. Recent technological advances in communications and computation have enabled the development of low-cost, low-power,small in size, and multifunctional sensor nodes in a Wireless Sensor Network (WSN). Since the radio transmission and reception consumes a lot of energy, one of the important issues in wireless sensor network is the inherent limited battery power within network sensor nodes. In order to maximize the lifetime of sensor nodes, it is preferable to distribute the energy dissipated throughout the wireless sensor network . Routing protocols are designed to use energy of the sensor nodes efficiently. In our proposed work we are changing the idea related to the data gathering and transmission protocol Chiron. The main goal of our research is reduce of energy consumption and improve the lifetime of network as chain leader belonging to the certain covering angle will only transmits the gathered data to the another chain leader of the same covering angle and then we send the data of the another covering angle in sequential manner. By this method we found that energy consmption is reduced and lifetime is improved significantly. We take the 100m*100 m area and 100 nodes for 3000 iterations for simulation.