Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligently Controlled above Knee Aak Prosthesis

In existing advanced AAK prostheses the stiiness and damping at the prosthetic knee joint are applied by h ydraulic or pneumatic cylinders. The pre-set parameters being constant, are not optimal during the whole gait cycle, for diierent w alking speeds, and sudden posture irregularities. The complexity of normal and prosthetic gait leads to the development of 'soft' control non-analytic governed by a nite set of rules. The pre-deened and stored parameters and rules are combined as the knowledge-base of the system. This knowledge is based on existing experience and known facts about both normal and prosthetic gait. The methodology of developing the controlled prosthesis was rst to study normal gait by modeling and simulating level human gait. Then the prosthetic gait was investigated using the normal gait model with a passive parameter controlled and a realizable knee joint. The results of the prosthetic gait investigation gave the values and ranges of the controlled impedance parameters , the predicted performance of the controlled prosthesis, and the moment eeort required from the amputee. A laboratory prototype of a controlled AAK prosthesis was built and evaluated in the clinic.
Coping with stress during childhood and adolescence.

In this article, research on how children and adolescents cope with stress and coping's role in reducing the adverse psychological states associated with stress is reviewed. Child and adolescent coping is reflected in seven different lines of research—infa nts' responses to maternal separation, social support, interpersonal cognitive problem-solving, coping in achievement contexts, Type A behavior pattern in children, repression-sensitization, and resilience to stress. A variety of different coping resources, styles, and specific strategies are important in successfully adapting to stress, including efforts that focus directly on the problem, as well as attempts to deal with adverse emotions associated with stress. Directions for future research are identified, emphasizing the need for more systematic comparisons of coping across different types of stress and over time in response to a single stressful episode. A central feature of human development involves coping with psychosocial stress. Beginning in infancy, individuals are confronted with a stream of potentially threatening and challenging situations that require action and adaptation. The modest to moderate correlations typically found between stressful life events and disorder during childhood and adolescence suggest that individual difference factors related to coping may moderate the stress-disorder relation (see Compas, in press, for a review). The resources available to cope with stress and the manner in which individuals actually cope may be important factors influencing patterns of positive growth and development as opposed to the onset of a host of psychological and somatic problems. Although the study of coping with stress during adulthood has been characterized by increasing convergence in conceptualization and measurement (e.g., Lazarus & Folkman, 1984; Menaghan, 1983; Moos & Billings, 1982), this is not true for coping during childhood and adolescence. Instead, coping in younger age groups has been represented by different definitions and methods of measurement, as well as several divergent lines of research. The purpose of this review is to integrate these somewhat disparate areas of research and to identify future directions for study. First, various definitions and conceptualizations of coping are discussed. Second, empirical studies of coping during childhood and adolescence are reviewed. Finally, conclusions drawn from this research, the major issues facing the field, and directions for future research are outlined.
Soft, entirely photoplastic probes for scanning force microscopy

A new probe made entirely of plastic material has been developed for scanning probe microscopy. Using a polymer for the cantilever facilitates the realization of mechanical properties that are difficult to achieve with classical silicon technology. The new cantilever and tip presented here are made of an epoxy-based photoplastic. The fabrication process is a simple batch process in which the integrated tip and the lever are defined in one photolithography step. The simplicity of the fabrication step, the use of a polymer as material, and the ability to reuse the silicon mold lead to a soft low-cost probe for scanning force microscopy. Imaging soft condensed matter with photoplastic levers, which uses laser beam deflection sensing, exhibits a resolution that compares well with that of commercially available silicon cantilevers.
Rap1-dependent pathways coordinate cytokinesis in Dictyostelium

Dictyostelium Rap1 is dynamically activated during cytokinesis and drives cytokinesis progression by coordinating the three major cytoskeletal components: microtubules, actin, and myosin II. Importantly, mutated forms of Rap also affect cytokinesis in other organisms, suggesting a conserved role for Rap in cell division.
Luto, pathos e clínica: uma leitura fenomenológica

A compreensao sobre o luto sofreu profundas modificacoes em seus aspectos teoricos e praticos, com repercussoes importantes na recente versao do DSM. Nao apenas o contexto cultural, mas tambem a clinica psicologica impactou profundamente a sua compreensao. A psicologia fenomenologico-existencial estuda os fenomenos como vivencias no mundo, contribuindo com a reflexao sobre o carater vivencial e pathico do enlutamento. Este estudo objetiva apresentar o luto nessa perspectiva e suas implicacoes para a clinica psicologica. Quando submetemos o fenomeno do luto a epoche, deparamo-nos com a evidencia da intersubjetividade. O luto e uma vivencia que tem inicio na abrupta supressao do outro enquanto corporeidade, rompendo os sentidos habituais do mundo-vida. Diante da suspensao de sentidos, propoe-se que o setting clinico permita o retomar e o ressignificar das narrativas interrompidas, diante de um novo mundo-vida que se abre fora do horizonte das predeterminacoes teoricas.
BRISK based target localization for fixed-wing UAV's vision-based autonomous landing

In this paper, a Binary Robust Invariant Scalable Keypoints (BRISK) based detection is utilized to facilitate the flying unmanned aerial vehicle (UAV) localization within its autonomous landing on the runway. Specifically, two target detection algorithms are proposed and developed as the BRISK-supported approach. Dataset of images and differential GPS are recorded by a ground stereo vision guidance system. By virtue of the landing dataset, experiments are conducted then. Experimental results validate the effectiveness, in terms of efficiency and accuracy, of the proposed target localization algorithms for the fixed-wing aerial vehicle's autonomous landing.
Students ‘ Attendance Monitoring System in Classroom Using Radio Frequency Identification Technology : A Proposed System Framework

— Today students’ (class) attendance is become more important part for any organizations/institutions. Recording and monitoring of class attendance is an area of administration that can require significant amounts of time and effort in a school/university environment, largely due to the amount of time required in lectures to get the necessary information. This paper presents the integration of ubiquitous computing systems into classroom for managing the students’ attendance using RFID technology. RFID technology can be a powerful tool in helping to manage student‘s attendance throughout the working school day and also enhance classroom security. RFID technology has been applied to solve problems where it is necessary to take automatically record the movements and locations of students in a classroom of school/university environment. A real time intelligent system is implemented in conjunction with RFID hardware to record students’ attendance at lectures and laboratories in a school/university environment. RFID is a technology that allows for a tag affixed on identity card to communicate wirelessly with a reader, in order for the tag’s identifier to be retrieved.
Disease and Disorder Template Filling using Rule-based and Statistical Approaches

We present the participation of LIMSI in Task 2 of the 2014 ShARe/CLEF eHealth Evaluation Lab. We used a hybrid approach based on a rule-based system and supervised classifiers depending on the properties of the attributes. The rule-based system identified course, severity and body location attributes based on the annotations of the training set and resources obtained from the UMLS. The Heideltime system was used to identify the dates. A MaxEnt model was trained to detect negation and uncertainty based on the disorder and surrounding words. A Decision Tree detected the relation to document time based on the position of the disorder in the document and on the words in the current sentence. Our system obtained a global 5th position out of ten ranked teams (accuracy of 0.804), and ranked 2nd for the detection of the relation to document time (accuracy of 0.322).
Domain specific MT in use

This paper focuses on domain specific use of MT with a special focus on SMT in the workflow of a Language Service Provider (LSP). We report on the feedback of post-editors using fluency/adequacy evaluation and the evaluation metric 'Usability', understood in this context as where users on a three point scale evaluate the sentence from the point of view of the post-editor. The post-editor profile defined by the LSP is based on the experiences of introducing MT in the LSP workflow. The relation between the Translation Edit Rate (TER) scores and 'Usability' scores is tested. We find TER a candidate for an automatic metric simulating the post-editors' usability judgements. LSP tests show 67% saved time in post-editing for the tested domain. Finally, the use of weighted sub-domain phrase tables in a SMT system is shown to improve translation quality.
Notice of RetractionThe Research of Outlier Data Cleaning through Relevance Comparison

In view of the data integration process, it puts forward the relevance comparison in outlier data cleaning in this paper. Namely in the data integration process, outlier data is discovered in certain fields through the relevant comparison. It can change the detection of outlier data, improve the data quality in the data integration process, enhance data availability. At the end of this article, it gives a specific description of the algorithm and interface of data cleaning results.
Quantifying and Preventing Privacy Threats in Wireless Link Layer Protocols

The proliferation of mobile wireless devices enables or magnifies several p riv cy threats that traditional link layer confidentiality mechanisms, such as payload encryp tion, do not protect against: user tracking, profiling, and traffic analysis. For example, it is well known that the exposure of long-lived, unique device addresses can be used to tr ack users over time. Although these addresses can easily be changed, more subtle features ex posed in encrypted link layer traffic can be used to identify and profile users as well. These featu res, which we call implicit identifiers, include identifiers used for service discovery, characteristics that en cryption does not obscure, and protocol information in unencrypted headers. These features can not be easily removed without loss of crucial network functionality. This thesis q uantifies privacy threats posed by these features and presents solutions that prevent the ir exposure to third parties. In doing so, we make three primary contributions: (1) We identify implicit ide ntifi rs that are exposed in wireless link layer protocols such as 802.11 and quantify h ow accurately they can be used to identify and track users. (2) An important class of implicit iden ifiers are those exposed by service discovery and rendezvous protocols. We have d esigned and implemented a mechanism that enhances existing discovery protocols so that they are an onymous—that is, so that they only expose identities to authorized parties. (3) A second important c lass of implicit identifiers are those exposed by analyzing exposed characteristics of e ncrypted messages, e.g., message sizes and inter-arrival times. We propose a rule-based system that enables efficient masking of sensitive traffic characteristics as they are discovered, withou t m difying applications.
Big and Small Currencies: The Regional Connection

This book is an up-to-date, authoritative and comprehensive analysis of the key issues and challenges facing regional currency area projects in the context of financial globalization. The authors focus on several central issues that emerged during the experiences of the 1990s and 2000s: exchange rate regimes and optimal currency area theory; exchange rate regimes in emerging countries, international capital markets and regional currency areas; EMU and the euro; exchange rate regimes in Central and Eastern Europe, Asia and Latin America; dollarization and the coordination of macroeconomic policies in the presence of regional currency areas.
The Impacts of Link Failure Location on Routing Dynamics: A Formal Analysis

One approach to understanding the complex global routing dynamics is to identify the impact of various factors in the routing system. In this paper we focus on one of these factors, the location of link failures. We build a formal analysis framework to examine whether link failures occurring at the network core and network edges have dieren t impact on routing dynamics, as measured by the number of aected nodes, number of aected routes, and total number of updates. We validate our analytical results by simulations. Our results show that, on average, edge link failures tend to aect more nodes than core link failures, and core links failures tend to aect more routes. As the network grows in size, most of the routing updates will be caused by edge link failures.
Implementation and Analysis of SC-LECTOR CMOS Circuit Using Cadence Tool

In deep submicron technologies, leakage power becomes a key for a low power design due to its ever increasing proportion in chip’s total power consumption. We propose a technique called SC-LECTOR which combines leakage control techniques applied at different abstraction levels of the CMOS design. SCCMOS scheme is preferable and applied at block level since it offers better leakage savings when the block is not operating. LECTOR method controls leakage at circuit level by introducing LCTs which causes increase in resistance of the path from VDD to ground within logic gate. By combining SCCMOS and LECTOR, the leakage in standby mode can be reduced while the LECTOR remains at high speed in active mode.
Classification of hardwood species using ANN classifier

In this paper, an approach for the classification of different hardwood species of open access database, using texture feature extraction and supervised machine learning technique has been implemented. Edges of complex cellular structure of microscopic images of hardwood are enhanced with the application of Gabor filter, and Gray Level Co-occurrence Matrix (GLCM) as an effective texture feature extraction technique is being revalidated. About, 44 features have been extracted from GLCM; these features have been further normalized in the range [0.1, 1]. Multilayer Perceptron Backpropagation Artificial Neural Network have been used for classification. Experiments conducted on 25 wood species have resulted in recognition accuracy of about 88.60% and 92.60% using Levenberg-Marquardt backpropagation training function with two different datasets for training, validation and testing ratio (70%, 15%, 15% and 80%, 10%, 10%) respectively. Proposed methodology can be extended with optimized machine learning techniques for online identification of wood.
Peripheral Myelin Protein 22 and Protein Zero: a Novel Association in Peripheral Nervous System Myelin

Mutations found in the two major glycosylated transmembrane proteins of the PNS myelin, the peripheral myelin protein zero (P0) and peripheral myelin protein 22 (PMP22), have been independently associated with the most common hereditary demyelinating peripheral neuropathies. Genotype–phenotype correlations in humans and transgenic animals have provided functional evidence that P0 and PMP22 are involved in formation and maintenance of compact myelin. Here, we demonstrate for the first time that P0 and PMP22 proteins form complexes in the myelin membrane, as shown by coimmunoprecipitation experiments, and that glycosylation is not involved in mediating these interactions. Complex formation was also detected when the two proteins were coexpressed in heterologous cells. In transfected cells, P0 and PMP22 are recruited and colocalize at the apposed plasma membranes of expressors as shown by confocal microscopy. These findings provide a new basis for a better understanding of myelin assembly and of the pathomechanisms involved in demyelinating peripheral neuropathies. Furthermore, these results propose a possible explanation why alterations in either of these molecules are sufficient to destabilize the myelin structure and cause a similar disease phenotype.
Optimization of the Radial Basis Function Neural Network Spread Factor for Electrical Impedance Tomography Image Reconstruction

Electrical impedance tomography (EIT) is a low cost, non-invasive imaging technique where the inner resistivity distribution of the investigated object, corresponding to different tissue resistivity, is estimated from voltage measured on the boundary of the this object. The Electrical impedance tomography main problem is to get the resistivity distribution image of a given cross-sectional area based on the boundary voltage measurement. We used Radial basis function (RBF) neural network for image reconstruction in EIT and focused on examining the impact changing spread factor of the RBF to the results of the image reconstruction with the RBF neural network.
Evidence-Based Teaching: Effective Teaching Practices in Primary School Classrooms

Even after spending five to six years sitting in a classroom almost every day for anywhere between four to seven hours, a significant share of students in low- and middle-income countries are still not able to read, write, or do basic arithmetic. What explains this"learning crisis? "A growing body of evidence suggests that poor teaching practices and little to no learning inside the classroom are the main culprits. As such, the learning crisis reflects a teaching crisis. So what can teachers do inside the classroom to tackle these joint crises? This paper systematizes the evidence regarding effective teaching practices in primary school classrooms, with special focus on evidence from low- and middle-income countries. By doing so, the paper provides the theoretical and empirical foundations for the content of the newly developed Teach classroom observation tool. Implications for teacher education and evaluation are also discussed.
Cooperative control of networked autonomous vehicles using convex optimization

In this paper a distributed, mathematical and optimization-based planning problem is introduced to control motion of multiple vehicles as a team which are connected to each other by a communication network. This framework is defined based on a Linear Time Varying Model Predictive Control (LTV-MPC). To do so, we define linear time varying constraints to cover obstacle avoidance and maintain connectivity missions as a multi criteria optimization problem. The final proposed MPC problem is converted to a real time convex optimization problem by some definitions and simplifying methods.
Heterodyne force microscopy of PMMA/rubber nanocomposites: nanomapping of viscoelastic response at ultrasonic frequencies

We present measurements of the nanoscale elastic and viscoelastic properties of samples of poly(methylmetacrylate) (PMMA)/rubber nanocomposites. For these studies we have used a new technique based on atomic force microscopy (AFM) with ultrasonic excitation, heterodyne force microscopy (HFM), which provides a means of testing the viscoelastic response of polymeric materials locally (in tip-probed regions) at MHz frequencies. Phase-HFM contrast distinguishes local differences in the dynamic response of PMMA/rubber composites. Comparison of HFM with other AFM-based techniques (ultrasonic force microscopy, friction force microscopy and force modulation microscopy), while imaging the same surface region, emphasizes the unique capabilities of HFM for these kinds of studies, and reveals key nanostructural characteristics of the composites. Some of the toughening particles appear to be broken down, with areas of PMMA detached from the surrounding matrix.
EPH: An Efficient and Robust Group Membership Topology for Distributed Systems

Group membership protocols in distributed systems enable entities in a group to be aware of all other entities in the group. This information is essential for the system to perform as a cohesive unit collaborating to achieve a common objective. In dynamic environments where devices join and leave the group frequently and failures occur, maintaining consistent group membership information efficiently is a non-trivial problem. We evaluate different logical topologies used to represent distributed systems and propose a group membership topology, extended polygonal hubs (EPH) which provides, 1) faster view convergence times and 2) better robustness characteristics compared to traditional hierarchical trees.
Temporal Constraints in Planning : Free or not Free ?

relating those decisional variables, thus making it possible to apply classical constraints propagation used in planning. Those meta-structures exist together with the classical time-points graph structures that are necessary at execution time, as we need to hold all the events (beginning and ending of tasks, instantaneous events). Lastly, it is important to notice that the different CSP structures (symbolic, numerical, meta-symbolic , meta-numerical) are based upon a unique real overall time-points graph, allowing flexible interactions between them, especially enforcing numerical-to-symbolic inferences that are much useful in planning (see also [Ghallab94]). We are at the present time working on the extension of the formalism to more general cases, the addition of free numerical constraints, or of weak contingent constraints (as [-10,10] for example). The next step is now to characterise in more details what uncertainty in temporal constraints means, what a planning system needs to handle and reason upon. Distinguishing between contingent and free constraints is not sufficient, one wants to also refer to preference, priority or utility concepts, to classify constraints upon their degree of confidence, relevance or violation-cost for example, leading to a more flexible way of defining the degree of feasibility of a plan in accordance with the degree of uncertainty weighting on the constraints. Fuzzy-set theory, used for example by [Dubois93] may be a much suitable tool, among others, to model it. We also claim that enhanced relaxation techniques will also earn some gain from this research area.Mixed Constraint Satisfaction: a Framework for Decision Problems under Incomplete Knowledge-submitted to IJCAI'95.