Miracle-dz/UniFAR-FTUs huggingface dataset:
RADIOWAVE PROPAGATION AND ANTENNAS FOR HIGH DATA RATE MOBILE COMMUNICATIONS IN THE 60 GHZ BAND

La bande de frequence millimetrique autour de 60 GHz est consideree comme l’une des meilleures options pour l’implementation des reseaux sans fils a tres hauts debits de type WPAN (wireless personal area network). De plus, les systemes multi-antennes de type MIMO (multiple-input multiple-output) sont tres prometteurs. Ils peuvent augmenter de maniere significative l’efficacite spectrale ou la fiabilite des communications sans fil. De ce fait, l’utilisation de systemes multi-antennes a 60 GHz est, theoriquement, tres prometteuse. Bien que les performances des systemes MIMO aient ete etudiees de maniere approfondie a la fois theoriquement et experimentalement a basses frequences (2 et 5 GHz), il y a clairement un manque d’evaluation experimentale de ces systemes a 60 GHz. De plus, la conception et l’evaluation d’antennes millimetriques compactes a bas couts pour des applications de type WPAN sont des sujets sur lesquels beaucoup de recherches doivent etre encore faites. Dans la premiere partie de la these, le premier sondeur de canal MIMO a 60 GHz est presente. Ce systeme, construit a partir d’un sondeur existant pour 2 et 5 GHz, utilise des reseaux d’antennes virtuelles. Afin d’ameliorer la resolution temporelle, deux autres systemes de mesure ont ete developpes. Le premier est construit a partir d’un sondeur ultra large bande et le second a partir d’un analyseur vectoriel de reseau. Ces systemes permettent la caracterisation totale du canal MIMO dans les domaines temporel et angulaire. Dans la seconde partie, les performances de techniques pour systemes multi-antennes sont analysees grâce aux mesures obtenues dans la premiere partie de la these. Les trois techniques etudiees sont: MIMO, MIMO avec selection d’antennes et depointage de faisceau. Les resultats indiquent que la capacite du canal MIMO mesure est relativement proche de celle d’un canal ideal. Dans des conditions realistes, la capacite obtenue grâce a la technique MIMO avec selection d’antennes est souvent inferieure a celle obtenue avec la technique MIMO. Par ailleurs, lorsque l’on considere un reseau a dephasage avec des pertes realistes, il apparait que la capacite obtenue avec la technique MIMO est presque toujours superieure a celle obtenue avec la technique du depointage du faisceau. Dans la derniere partie de la these, une antenne omnidirectionnelle est presentee. Cette antenne convient parfaitement aux applications de types WPAN car elle est plane et n’utilise qu’une seule couche de metallisation, ce qui la rend facile a realiser et peut couteuse. De plus, un banc de mesure quasi-3D de diagrammes de rayonnement d’antennes a 60 GHz a ete developpe. Ce systeme a une tres bonne repetabilite. Le rayonnement de la pointe elle-meme a ete mesure et les resultats indiquent que c’est la principale limitation de la dynamique d’amplitude de ce systeme.
Sinusoid Modeling and Noise-excited LPC Reconstruction of Speech Synthesis

In this paper, an algorithm is proposed for Harmonic/stochastic decomposition of the signal for synthesis speech. This Algorithm is based on representation the periodic portion (Voicing, pitched ) of speech by a sinusoidal model and the stochastic portion ( unvoiced, no pitch ) as the output of a timevarying filter ( LPC model ) excited by white noise. Using the Algorithm, high quality speech can be synthesized with satisfactory perceptual of synthetic speech.
Qualification Study of Two Genomic DNA Extraction Methods in Different Clinical Samples

Introduction The purity of genomic DNA (gDNA) extracted from different clinical specimens optimizes sensitivity of polymerase chain reaction (PCR) assays. This study attempted to compare two different DNA extraction techniques namely salting-out and classic phenol-chloroform. Materials and Methods Qualification of two different DNA extraction techniques for 634 clinical specimens highly suspected of having mycobacterial infection was performed. Genomic DNA was extracted from 330 clinical samples using phenol-chloroform and 304 by non-toxic salting-out. Qualification of obtained gDNA was done through amplification of internal controls, β-actin and β-globin. Results β-actin-positive was detected in 279/330 (84%) and 272/304 (89%) samples by phenol-chloroform technique and salting-out, respectively. PCR inhibitor was found for the gDNA of 13/304 (4%) patient samples were negative by β-actin and β-globin tests via salting-out technique in comparison with gDNAs from 27/330 (8.5%) samples extracted by phenol-chloroform procedure. No statistically significant difference was found between phenol-chloroform technique and salting-out for 385 sputum, 29 bronchoalveolar lavage (BAL), 105 gastric washing, and 38 body fluid (P=0.04) samples. This illustrates that both techniques have the same quality for extracting gDNA. Conclusion This study discloses salting-out as a non-toxic DNA extraction procedure with a superior time-efficiency and cost-effectiveness in comparison with phenol-chloroform and it can be routinely used in resource-limited laboratory settings.
Analysis of factors influencing the mobile technology acceptance for library information services: Conceptual model

Increasing powerful mobile technology, for example tablet devices, empower learners to seek information not only at home but also in mobile learning scenarios, virtually anywhere and anytime. However, the variety of library material types such as e-books, e-journals, images, audio and movies, require different levels of human- computer interaction. Moreover, the different library material types may be subject to different usability constraints. Thus, it is important for the academic library to look at how student use their mobile technology for library information services. This paper aims to propose a theoretical model for academic institutes and telecommunication service providers by addressing the following question: What are the key determinant factors for the mobile technology acceptance in using library information services? How the patron' s perspective and technical perspective are integrated in the process of mobile technology acceptance for library information services? We extend the extending Unified Theory of Acceptance and Use of Technology model (UTAUT2) to the context of library information services by examining the moderating role of library material type. Adapting the UTAUT2 model requires respecification to suit a specific information system as well as including integration variables namely technology characteristics, task characteristics and attitude. The contribution of the model is a design guideline for the mobile technology function that is consistent with the library information services. Especially, for more better service management and delivery.
Multiterminal compress-and-estimate source coding

We consider a multiterminal source coding problem in which a random source signal is estimated from encoded versions of multiple noisy observations. Each encoded version, however, is compressed so as to minimize a local distortion measure, defined only with respect to the distribution of the corresponding noisy observation. The original source is then estimated from these compressed noisy observations. We denote the minimal distortion under this coding scheme as the compress-and-estimate distortion-rate function (CE-DRF). We derive a single-letter expression for the CE-DRF in the case of an i.i. d source. We evaluate this expression for the case of a Gaussian source observed through multiple parallel AWGN channels and quadratic distortion and in the case of a non-uniform binary i.i. d source observed through multiple binary symmetric channels under Hamming distortion. For the case of a Gaussian source, we compare the performance for centralized encoding versus that of distributed encoding. In the centralized encoding scenario, when the code rates are sufficiently small, there is no loss of performance compared to the indirect source coding distortion-rate function, whereas distributed encoding achieves distortion strictly larger then the optimal multiterminal source coding scheme. For the case of a binary source, we show that even with a single observation, the CE-DRF is strictly larger than that of indirect source coding.
Optimal Dynamic Asset Allocation: A Stochastic Invariance Approach

Optimal asset allocation deals with how to divide the investor's wealth across some asset-classes in order to maximize the investor's gain. We consider the optimal asset allocation in a multi-period investment settings: optimal dynamic asset allocation provides the (optimal) re-balancing policy to accomplish some investment's criteria. Given a sequence of target sets, which represent the portfolio specifications at each re-balancing time, an optimal portfolio allocation is synthesized for maximizing the joint probability for the portfolio to fulfil the target sets requirements. The approach pursued is based on dynamic programming. The optimal solution is shown to conditionally depend on the portfolio realization, thus providing a practical scheme for the dynamic portfolio re-balancing. Finally some case studies are given to show the proposed methodology
A Corpus Study of Referential Choice: The Role of Rhetorical Structure

This study shares the view that reference in discourse is influenced by the distance to prior mentions of the referent in the discourse. Kibrik (1996, 1999) suggested a measurement of rhetorical distance to assess this factor. In this paper we address three complications created by that methodology when applied to a large corpus of written newspaper texts. These problems include: difference between symmetrical and asymmetrical discourse structures as sites of antecedents; type of rhetorical relations as a factor or referential choice; and multiple (competing) antecedents. In this study we outline a model that is relevant for both theory of referential choice in discourse and applied explorations of anaphora resolution or generation.
Adjusting to retirement from sport: narratives of former competitive rhythmic gymnasts

Abstract This study used narrative inquiry to understand the retirement experiences of rhythmic gymnasts. Eight female former competitive gymnasts (M age = 24.5, SD = 8.33) each participated in four life-history interviews. Following dialogical narrative analysis, three narrative typologies were outlined: Entangled Narrative, Going Forward Narrative and Making Sense Narrative. The entangled narrative shows an individual with a monological athletic identity, who is unable to develop a new identity following her retirement to the detriment of her well-being, and wishes to return to being a gymnast. The going-forward narrative describes those former gymnasts who were able to develop multiple identities during their gymnastics career, and are now flourishing in their life post-retirement. The making sense narrative is an emergent narrative, which transcends the previous two narratives. Findings expand narrative research by providing new narrative resources to understand the experience of retirement from gymnastics. These narrative resources might assist gymnasts to expand their narrative repertoire by raising awareness of different narratives available in their culture.
Metric concentration search procedure using reduced matrix of pairwise distances

This paper presents a new fast clustering algorithm RhoNet, based on the metric concenration location procedure. To locate the metric concentration, the algorithm uses a reduced matrix of pairwise ranks distances. The key feature of the proposed algorithm is that it doesn’t need the exhaustive matrix of pairwise distances. This feature reduces computational complexity. It is designed to solve the protein secondary structure recognition problem. The computational experiment collects tests and to hold performance analysis and analysis of dependency for the algorithm quality and structure parameters. The algorithm is compared with k-modes and tested on different metrics and data sets.
Combination of Biased Artificial Neural Network Forecasters

Artificial neural networks (ANN) have been paramount for modeling and forecasting time series phenomena. In this way it has been usual to suppose that each ANN model generates a white noise as prediction error. However, mostly because of disturbances not captured by each model, it is yet possible that such supposition is violated. On the other hand, to adopt a single ANN model may lead to statistical bias and underestimation of uncertainty. The present paper introduces a two-step maximum likelihood method for correcting and combining ANN models. Applications involving single ANN models for Dow Jones Industrial Average Index and S&P500 series illustrate the usefulness of the proposed framework.
Edinburgh Research Explorer Expression-independent gene trap vectors for random and targeted mutagenesis in embryonic stem cells

Promoterless gene trap vectors have been widely used for high-efficiency gene targeting and random mutagenesis in embryonic stem (ES) cells. Unfortunately, such vectors are only effective for genes expressed in ES cells and this has pro-mpted the development of expression-independent vectors. These polyadenylation (poly A) trap vectors employ a splice donor to capture an endogenous gene’s polyadenylation sequence and provide transcript stability. However, the spectrum of mutations generated by these vectors appears largely restricted to the last intron of target loci due to nonsense-mediated mRNA decay (NMD) making them unsuitable for gene targeting appli-cations. Here, we present novel poly A trap vectors that overcome the effect of NMD and also employ RNA instability sequences to improve splicing efficiency. The set of random insertions generated with these vectors show a significantly reduced insertional bias and the vectors can be targeted directly to a 5 ’ intron. We also show that this relative positional independence is linked to the human b -actin promoter and is most likely a result of its transcriptional activity in ES cells. Taken together our data indicate that these vectors are an effective tool for insertional mutagenesis that can be used for either gene trapping or gene targeting.
Minimum losses point tracking and minimum current point tracking in interior PMSMs

Advanced control strategies for efficiency optimization in interior PMSMs are usually model-based, potentially providing very accurate results and good performance at the cost of parameter dependency and the associated drawbacks. Search-based methods, on the contrary, perform more modestly but depend neither on models nor on parameters. This paper compares both approaches in terms of steady-state efficiency.
An H I Survey of Six Local Group Analogs. I. Survey Description and the Search for High-Velocity Clouds

We have conducted an H I 21 cm emission-line survey using the Parkes 20 cm multibeam instrument and the Australia Telescope Compact Array (ATCA) of six loose groups of galaxies chosen to be analogs to the Local Group. The goal of this survey is to make a census of the H I-rich galaxies and high-velocity clouds (HVCs) within these groups and compare these populations with those in the Local Group. The Parkes observations covered the entire volume of each group with a rms M sensitivity of (4-10) × 105 M☉ per 3.3 km s-1 channel. All potential sources detected in the Parkes data were confirmed with ATCA observations at ~2' resolution and the same M sensitivity. All the confirmed sources have associated stellar counterparts; no starless H I clouds—HVC analogs—were found in the six groups. In this paper, we present a description of the survey parameters, sensitivity, and completeness. Using the population of compact HVCs (CHVCs) around the Milky Way as a template, coupled with the detailed knowledge of our survey parameters, we infer that our nondetection of CHVC analogs implies that, if similar populations exist in the six groups studied, the CHVCs must be clustered within 90 kpc of group galaxies, with average M ≲ 4 × 105 M☉ at the 95% confidence level. The corollary is that the same must apply to Milky Way CHVCs. This is consistent with our previous results from a smaller sample of groups, and in accordance with recent observational and theoretical constraints from other authors. These results confirm that there is very little neutral matter around galaxies, and that any substantial reservoir of baryons must be in other phases.
Self-organizing tuple reconstruction in column-stores

Column-stores gained popularity as a promising physical design alternative. Each attribute of a relation is physically stored as a separate column allowing queries to load only the required attributes. The overhead incurred is on-the-fly tuple reconstruction for multi-attribute queries. Each tuple reconstruction is a join of two columns based on tuple IDs, making it a significant cost component. The ultimate physical design is to have multiple presorted copies of each base table such that tuples are already appropriately organized in multiple different orders across the various columns. This requires the ability to predict the workload, idle time to prepare, and infrequent updates. In this paper, we propose a novel design, partial sideways cracking, that minimizes the tuple reconstruction cost in a self-organizing way. It achieves performance similar to using presorted data, but without requiring the heavy initial presorting step itself. Instead, it handles dynamic, unpredictable workloads with no idle time and frequent updates. Auxiliary dynamic data structures, called cracker maps, provide a direct mapping between pairs of attributes used together in queries for tuple reconstruction. A map is continuously physically reorganized as an integral part of query evaluation, providing faster and reduced data access for future queries. To enable flexible and self-organizing behavior in storage-limited environments, maps are materialized only partially as demanded by the workload. Each map is a collection of separate chunks that are individually reorganized, dropped or recreated as needed. We implemented partial sideways cracking in an open-source column-store. A detailed experimental analysis demonstrates that it brings significant performance benefits for multi-attribute queries.
Leveraging Crowdsourcing for Paraphrase Recognition

Crowdsourcing, while ideally reducing both costs and the need for domain experts, is no all-purpose tool. We review how paraphrase recognition has benefited from crowdsourcing in the past and identify two problems in paraphrase acquisition and semantic similarity evaluation that can be solved by employing a smart crowdsourcing strategy. First, we employ the CrowdFlower platform to conduct an experiment on sub-sentential paraphrase acquisition with early exclusion of lowaccuracy crowdworkers. Second, we compare two human intelligence task designs for evaluating phrase pairs on a semantic similarity scale. While the first experiment confirms our strategy successful at tackling the problem of missing gold in paraphrase generation, the results of the second experiment suggest that, for both semantic similarity evaluation on a continuous and a binary scale, querying crowdworkers for a semantic similarity value on a multi-grade scale yields better results than directly asking for a binary classification.
Survey of 3d image segmentation methods

This report reviews selected image binarization and segmentation methods that have been proposed and which are suitable for the processing of volume images. The focus is on thresholding, region growing, and shape–based methods. Rather than trying to give a complete overview of the field, we review the original ideas and concepts of selected methods, because we believe this information to be important for judging when and under what circumstances a segmentation algorithm can be expected to work properly.
Send Orders of Reprints at Reprints@benthamscience.net Antipsychotic Drugs opposite to Metabolic Risk: Neurotransmitters, Neurohormonal and Pharmacogenetic Mechanisms Underlying with Weight Gain and Metabolic Syndrome

Important sources of metabolic diseases such as obesity and metabolic syndrome are significantly more prevalent in patients treated with antipsychotic drugs than the general population and they not only reduce the quality of life but also significantly reduce the life expectancy, being important risk factors for cardiovascular disease. The pathogenic mechanisms underlying these events are not entirely clear they are complex and multi-determined or not tied to a single defining event. In this review we examine the literature on the interactions of antipsychotic drugs with neurotransmitters in the brain, with pharmacogenetics hormones and peripheral mechanisms that may induce, albeit in different ways between different molecules , not only weight gain but also 'onset of major diseases such as diabetes, dyslipidemia and hypertension that are the basis of the metabolic syndrome. Today, the possible metabolic changes induced by various antipsychotic drugs and their major physical health consequences, are among the major concerns of clinicians and it is therefore necessary to monitor the main metabolic parameters to prevent or minimize any of these patients as well as the metabolism events associated with the use of antipsychotic drugs. INTRODUCTION Antipsychotics (AP) are drugs commonly used in clinical practice in the treatment of psychosis and other serious mental illnesses in both adults and adolescents, because they have proven to be effective in controlling a wide spectrum of symptoms but they are often associated with the increase of 'appetite and weight gain " , with an increased risk of developing diabetes and other important metabolic diseases.
6 Graph-based Proximity Measures

6.1 Defining the Proximity of Vertices in Graphs . 135 6.2 Shared Nearest Neighbor . 139 6.2. 1 Proximity Graphs . 139 6.2. 2 Computing the Similarity of Web Pages . 140 6.2. 3 Shared Nearest Neighbor Definition . 143 6.2. 4 Strengths and Weaknesses . 146 6.3 Evaluating Relatedness Using Neumann Kernels . 146 6.3. 1 Calculating Co-citation and Bibliographic Coupling . 147 6.3. 2 Document and Term Correlation . 151 6.3. 3 Neumann Kernels in Practice . 152 6.3. 4 Derivation of Neumann Kernels . 153 6.3. 5 Choosing the Decay Factor . 157 6.3. 6 Relationships among Neumann Kernels, HITS, and Co-citation/Bibliographic Coupling . 157 6.3. 7 Strengths and Weaknesses . 160 6.4 Applications . 160 6.4. 1 Co-citation Analysis with Shared Nearest Neighbor . 160 6.5 Bibliographic Notes . 161 6.5. 1 Inter-graph Proximity . 161 6.5. 2 In-graph Proximity . 162 6.5. 3 Node Importance . 162 6.6 Exercises . 162 Bibliography . 165