Miracle-dz/UniFAR-FTUs huggingface dataset:
Connaissance et perceptions des médicaments génériques après 50 ans

Fifty Years Old and More Patients' Attitudes Towards and Experiences of Generic Substitution of Pre- scription Medicines. Objective: Assess 50 years old and over patients' attitudes towards and experiences of generic sub- stitution of prescription medicines. A special focus on information on patient attitude to generic drugs provided by their general practitioners (GPs). Methods: Prospective study of patients in 15 general practices and in 2 retirements home was surveyed using a self- questionnaire. Results: Four hundred and forty patients were included. Four twenty eleven per cent of the patients stated that they knew of the difference between brand-name drugs and generics but only 57% knew it exactly in fact. Seventy seven per cent had received generics by their GPs; 45% reported to have received information from their physician. The study found that patients who report to have received information from their physician about generic substitution were more likely to have switch. Patient in retirement home more frequently refused substitution. Elderly patients (75 and more) were wrong with generics definition compared with others patients, and observed more adverse effects after switching (20% versus 9% - p = 0.027); patients made more mistake using generics than brand-name drugs (15.5% versus 7% - p < 0.005); two thirds of the patients (72%) were satisfied with switching, and 57% reported to want more information and 85% of them that it comes from their GPs. Conclusion: Most of the patients are satisfied with generics. GPs are in an ideal position to inform their patients adequately about the equivalence of brand-name and generic drugs. Patient education is the best way to use generics in the future. More efforts must be devoted to provide adequate information to patients and GPs.
The use of an improved atmospheric correction algorithm for removing atmospheric effects from remotely sensed images using an atmosphere–surface simulation and meteorological data

Unless effective corrections can be applied, satellite remote sensing data will remain modified by the absorption and scattering effects of the atmosphere through which the electromagnetic radiation must pass, between the Sun, the ground and the sensor. The true reflectance of the land will not be recoverable, and multi‐temporal datasets will not be comparable as a result of the variability of the atmosphere. This article presents a method of removing atmospheric effects from satellite remote sensing images for low‐reflectance areas, such as water, where the atmosphere accounts for the majority of the at‐satellite measured radiance in the visible bands. The method uses visibility observations to select a reference image for the area of interest. The reflectance of the dark target is calculated after atmospheric correction from the reference image, and is used in conjunction with Turner and Spencer's atmosphere–surface simulation (Turner and Spencer, 1972 ) and Forster's method (Forster, 1984 ), to correct the remainder of the images. The method is applied to three large water treatment reservoirs to the west of London. Copyright © 2008 Royal Meteorological Society
A Practical Approach for Scalable Record Linkage on Hadoop

As increasing data have been collected in many applications, we have to face with millions of data in record linkage. With respect to traditional methods, there comes out a big challenge in performance while dealing with massive data. Parallel computing framework, such as MapReduce, has become an efficient and practical way to address this problem. In this paper, we propose a practical 3-phase MapReduce approach that fulfills blocking, filtering, and linking in 3 consecutive processes on Hadoop cluster. Experiments show that our approach functions efficiently and effectively with keeping high recall in contrast to tradition method.
The Shona Subject Relation: Some Selectional Principles

This article presents some selection principles of the subject relation in Shona, a southern Bantu language spoken in Zimbabwe. The selectional principles are based on the morphological and semantic characteristics of the preverbal noun phrase (NP). The data for this investigation came from the authors who are native speakers of two main Shona dialects, namely, Zezuru and Karanga. Data was analysed using the projection principle, a branch of government and binding (GB) theory, as well as the seven selectional principles established in well researched languages. It came out that no single selectional rule can cater for all the possible Shona sentences. We demonstrate that seven selectional principles are required for a holistic account of the subject relation in Shona. We also show that there are instances where the selectional rules contradict. As a result, we suggest a hierarchy of reliability to cater for this: namely, thematic or semantic reasons > PAH selection > morphological reasons > topicality in word order > intransitivity assumption > dummy subject. As there are few descriptive and theoretical studies on Shona syntax, this research recommends more studies on this subject. DOI: 10.5901/mjss.2014. v5n27p1592
Design of a free-swimming biomimetic robot fish

This paper is concerned with the design of a radio-controlled, 4-link and free-swimming biomimetic robot fish based on a simplified kinematic propulsive model. The robot fish uses a flexible posterior body and an oscillating foil as a propulsor. The speed of the fish's swimming is adjusted by modulating joint's deflections. A closed-loop experimental robot fish system that uses a vision-based position system to provide feedback is finally developed, and corresponding test results confirm the effectiveness of the presented scheme.
Review of HLM 7

Multilevel models are fairly new. Statistical advances for estimating covariance components when data are unbalanced, particularly the EM algorithm (Dempster, Laird, & Rubin, 1977), opened a new realm of possibilities for modeling data nested in structure (see, for example, Burstein, 1980; Dempster, Rubin, & Tsutakawa, 1981; Laird & Ware, 1982). Yet, commercial software developments lagged several years behind during which few scholars had access to software for applying these models to their own data. HLM is one of the original statistical software packages for multilevel modeling, and as such it filled a critical and rapidly growing niche. Anthony Bryk, Stephen Raudenbush, and Richard Congdon began developing HLM in the mid-1980s, releasing the first commercial version for mainframe computers in 1989. From the beginning Scientific Software International (SSI) has been the publisher/distributor. HLM 2 (1991) was the first PC version (DOS; 2-levels only) and HLM 4 (1997) was the first Windows version. The acronym, HLM, is a registered trademark of SSI and refers to the software package. As perhaps the best combination of user-friendliness and modeling capabilities, HLM became a leading international package for multilevel modeling and a dominant player in the North American market.
CEP TELEFONUYLA İNGİLİZCE KELİME ÖĞRENME: MESAJINIZ VAR

Bu calisma, mobil teknolojisinin bir parcasi olan SMS’in Ingilizce kelime ogrenimindeki yerini arastirmaktadir. Turkiye’de yapilan bu calisma bir devlet universitesindeki gelir seviyesi dusuk 60 ogrenci ile bir hafta boyunca yurutuldu. Herbiri Ingiliz Dili Egitimi Hazirlik programina devam eden 30 ogrenciyi kapsayan kontrol ve deney gruplari olusturuldu. Kontrol grubunun klasik yontemlerle yeni kelimeler ogrenmesi beklenirken, deney grubuna yeni kelimeler kisa SMS’lerle gonderildi. Nicel ve nitel olarak yapilan verilerin analizi, deney grubunda anlamli bir fark oldugunu gostermektedir. Bulgular, SMS’in sayisal vatandas olarak adlandirilan ogrencilere kelime ogreniminde motivasyon sagladigi, itme etkisi (push) ile duzenli calismaya tesvik ettigi ve Ingilizce kelime ogretiminde kullanilabilecegini gostermektedir.
An improved lookup protocol model for peer-to-peer networks

With the development of the peer-to-peer (P2P) technology, file sharing is becoming the hottest, fastest growing application on the Internet. Although we can benefit from different protocols separately, our research shows that if there exists a proper model, most of the seemingly different protocols can be classified to a same framework. In this paper, we propose an improved Chord arithmetic based on the binary tree for P2P networks. We perform extensive simulations to study our proposed protocol. The results show that the improved Chord reduces the average lookup path length without increasing the joining and departing complexity.
Multi-point search for combinatorial optimization problems

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Selector-line merged built-in ECC technique for DRAMs

A high-performance built-in error checking and correcting (ECC) technique applicable to megabit-level dynamic RAM (DRAM) chips is described. This technique, based on a bidirectional parity code, achieves high-speed error correction with a minimum increase in area. The impact of the technique on access time and chip overhead is discussed. Furthermore, effects on soft-error reduction and yield improvement are analytically investigated.
Design of a highly parallel set logic network based on a bio-device model

A model of molecular switching devices based on enzyme-substrate reactions is proposed for constructing a novel type of logic network called a set logic network. An important role of every enzyme is its specificity, which is used as a multiple-valued discrimination function. the mathematical aspects of the systematic synthesis of the set logic functions are considered. It is demonstrated that the set logic network obtained has the attractive features of high information density, highly parallel structure, and extensibility into ultra-high-valued information processing systems. <<ETX>>
Metrics of methodology: FUSION case

The object oriented paradigm is a new way of focusing the information system development which offers as its main benefits the following: a more natural way of analyzing complex problems, the reusability which provides valuable and immediate benefits on the quality of the product and on the productivity of the processes and maintainable systems. A proposal for evaluation of the FUSION methodology is presented based on a particular case. This methodology is based on the object oriented paradigm. The evaluation of FUSION provides information on the methodology so as to determine its consistency, coherence and applicability on management control information systems. The section on process measuring was emphasized. Four types of parameters (effectiveness, efficiency, adaptability and technology) and the associated indexes were proposed for its evaluation. The case selected to evaluate FUSION was the development of an information system for planning, coordination and evaluation in relation to the management control of a private vigilance company which allows the manager to utilize this as a tool for decision making purposes, from which a design and analysis were conducted following the FUSION methodology.
Semi-automatic video semantic annotation based on active learning

In this paper, we propose a novel semi-automatic annotation scheme for home videos based on active learning. It is well-known that there is a large gap between semantics and low-level features. To narrow down this gap, relevance feedback has been introduced in a number of literatures. Furthermore, to accelerate the convergence to the optimal result, several active learning schemes, in which the most informative samples are chosen to be annotated, have been proposed in literature instead of randomly selecting samples. In this paper, a representative active learning method is proposed, which local consistency of video content is effectively taken into consideration. The main idea is to exploit the global and local statistical characteristics of videos, and the temporal relationship between shots. The global model is trained on a smaller pre-labeled video dataset, and the local information is obtained online in the process of active learning, and will be used to adjust the initial global model adaptively. The experiment results show that the proposed active learning scheme has significantly improved the annotation performance compared with random selecting and common active learning method.
Cost modeling and evaluation of capital expenditures in optical multilayer networks

Optical multilayer networks offer a high degree of freedom in network design, adapting to actual network requirements (demand types, topologies, etc.) and achieving cost-efficient realizations. Capital expenditures are one of the key differentiators for the evaluation of multilayer networks. A realistic cost model for Internet protocol/multiprotocol label switching (IP/MPLS), carrier-grade Ethernet, synchronous digital hierarchy/optical transport network (SDH/OTN), and WDM equipment from which overall capital expenditures can consistently be derived is contributed and discussed. A comprehensive collection of detailed cost values for different equipment types is presented. Furthermore, the cost model is applied to two case studies, one IP/MPLS-over-WDM study and one WDM study with two topologies, showing substitution effects of network elements to achieve overall capital expenditure minimization.
Research and Improvement of DV-Hop Localization Algorithm for Wireless Sensor Network

Rang-free distributed localization algorithm has advantages of low power consumption, low cost etc, but it is weak in the localization accuracy, energy consumption of localization and the algorithm extend ability.That can not meet to the needs of practical application. To overcome the disadvantage of DV-Hop algorithm, in this paper, Two aspects improved algorithm are proposed based on the characteristics research of the original DV-Hop localization algorithm, which are the coverage area of beacon nodes and average size for one hop received by unknown nodes. Simulation results prove their validity and show the performance of the improvement algorithms is superior to the original DV-Hop algorithm.
Wireless sensors network based safe home to care elderly people: A realistic approach

In this paper, we present the design intricacies and implementation details of a wireless sensors network based safe home monitoring system targeted for the elderly people to provide a safe, sound and secured living environment in the society. Programmed system will minimize the number of false messages to be sent to care provider and supports inhabitant through suitable prompts and action to be performed when there is irregular behaviour in the daily activity. Developed system was tested at various elderly homes instead of test bed and the results are encouraging.
Pedagogical strategies for using the interactive whiteboard to foster learner participation in school science

This study aimed to extend the currently limited understanding of how pedagogy is developing in response to the influx of interactive whiteboards (IWBs) in schools in the UK and some other countries. A case study approach was employed to investigate how experienced classroom practitioners are beginning to harness the functionality of this technology to support learning in science. The methods included focus group interviews with four secondary science departments, plus lesson observations and interviews with two teachers and their pupils. We analysed the data from a sociocultural perspective on learning, focusing on the strategies that teachers used to exploit the dynamic, manipulable objects of joint reference and annotative tools afforded by the technology to foster the cognitive, social and physical participation of learners in whole‐class activity. The case study teachers demonstrated contrasting approaches to designing and supporting activity in which pupils shared, evaluated and developed ideas using the IWB. Pupil manipulation of objects on the IWB was deemed desirable but—along with pedagogical interactivity—was constrained by systemic school and subject cultures, curricular and assessment frameworks. Observed and potential opportunities for active cognitive and social participation are outlined.
Student exchange programmes and translator training: Three economic principles

Abstract The importance of student exchange programmes is mostly overlooked in the planning and discussion of translator training. However, application of a few basic economic principles shows that these programmes present quite radical possibilities for rationalising current teaching practices. In particular, when exchange programmes are seen as a mode of international trade, as a distribution of resources and as a general relation of intellectual production, serious questions must be raised about the ideal cost‐effectiveness, specialisation, student coverage rate, socialisation and professionalisation of the training process.
Intonational phrasing: the case for recursive prosodic structure

The past decade has seen a good deal of research on the relation between phonology and syntax, and on the nature of the phonological structures – both intonational and metrical – on to which syntactic structure must be mapped (e.g. Liberman & Prince 1977; Pierrehumbert 1980; Selkirk 1984; Kaisse 1985; Nespor & Vogel 1986). While some of this work breaks genuinely new ground, in at least one respect it relies on a theoretical legacy from work going back at least half a century: the INTONATIONAL PHRASE (IP). The goal of this paper is to examine the properties of the IP as a theoretical construct and to propose a substantially modified approach to intonational phrasing.
SWANET: an all-optical self-routed wavelength-addressable network

In this paper, we introduce a novel self-routed wavelength-addressable switching network (SWANET) that provides wavelength-transparent optical data paths between end-point, configured by wavelength-coded optical signals. The network is based on a new scheme for encoding destination addresses using a sequence of wavelengths. This allows large networks to be constructed using a moderate number of available wavelengths. The multistage switch architecture may be used either as a circuit switch or as a packet switch. We describe the architecture of SWANET and the design of its switch nodes. We also analyze the effect of fiber dispersion on the transmission time of the header and evaluate the tradeoffs involved in minimizing the header transmission time.
Towards Modelica 4 Meta-Programming and Language Modeling with MetaModelica 2.0

This report gives a language definition and tutorial on how to model languages using MetaModelica 2.0 – an extension of Modelica 3.2 designed for efficient language modeling. Starting from an extremely simple language, a series of small languages are modeled by gradually adding features. Both interpretive and translational language semantics are modeled. Exercises with solutions are given. The approach of allowing the modeling language to model language semantics in principle allows the definition of language semantics in libraries, which could be used to reverse the current trend of model compilers becoming very large and complex. MetaModelica 2.0 builds on MetaModelica 1.0 which was the first Modelica language version that supports language modeling, and has been in extensive use since 2005, primarily in the development of the OpenModelica compiler. The following version of MetaModelica, called MetaModelica 2.0, is described in this report. It is easier to use since it also supports the standard Modelica 3 language features as well as additional modeling features for expressiveness and conciseness. It is implemented within the OpenModelica compiler itself. This means that the OpenModelica compiler supporting MetaModelica 2.0 is bootstrapped, i.e., it compiles itself. This work is strongly connected to the Modelica 4 effort announced by Modelica Association in September 2010, which includes moving language functionality into library packages to achieve more extensible and modular Modelica model compilers. The MetaModelica language features contribute to realizing that goal. The language features have been proven in large-scale usage in the packages within the OpenModelica compiler. However, much work still remains in improving the modularity and interface properties that are expected by library packages.
Extracting the Prevailed Patterns in Recognizing the Picture by the Human Vision

We have tried to present the most matched approaches with which the vision dose through numerous studying the segment fields and recognizing the picture. Here we define external pictures features as the prevailed picture features and then extract the locust point of minus decline and among these points. Of minus decline and among these points we have defined the points which match with the human vision specifications according to the defined factors in this research such as clarification sharpness roundness and adjacency and used them as copied systems. We have reviewed our proposed patterns for truth, correctness and validity through performing two empirical tests.
A Method for Artificial Mark Recognition in Augmented Reality System

In this article we present a method to recognize artificial marks in augmented reality system. The distribution of marks is obtained by iterative approximation of the inconsistency between the synthetic gray-scale image and authentic binary image. The result shows our method can accurately recognize the marks, and solve the problem of mark recognition with partial occlusion or poor image quality.
Loss of p27Kip1 expression independently predicts poor prognosis for patients with resectable pancreatic adenocarcinoma

As a universal inhibitor of cyclin‐dependent kinases in mammalian cells, p27Kip1 expression has been implicated in tumor progression and has proved to be a prognostic predictor for several human cancers. In this study, the authors investigated the expression of p27Kip1 and its potential prognostic significance in patients with resectable pancreatic adenocarcinoma.
Transmission Optimization of Wireless Visual Sensor Networks with Compressed Sensing Encoder

The design and optimization of wireless visual sensor network (WVSN) is challenging due to error-prone wireless link, limited resource and low computational capacity. Traditional video coding methods and layered transmission protocols are not efficient for visual information collection in WVSNs. In this paper, we adopted the compressed sensing (CS) paradigm to sense and encode the visual information, and proposed a cross-layer transmission algorithm to achieve optimal trade-off between total distortion and power consumption by simultaneously controlling the CS measurement rate and allocating the power and bandwidth for each wireless link. The algorithm was obtained by using convex dual theory and sub-gradient iterative method. The optimality condition of the proposed algorithm was also given. The algorithm can be implemented in a practical WVSN in a distributed way with only limited local information exchanges.