Miracle-dz/UniFAR-FTUs huggingface dataset:
A three-dimensional spectral boundary element algorithm for interfacial dynamics in Stokes flow

In the present study we describe a novel three-dimensional spectral boundary element algorithm for interfacial dynamics in Stokes flow and/or gravity. The main attraction of this approach is that it exploits all the benefits of the spectral methods (i.e., exponential convergence and numerical stability) with the versatility of the finite element method. In addition, it is not affected by the disadvantage of the spectral methods used in volume discretization to create denser systems. Our algorithm also exploits all the benefits of the boundary element techniques, i.e., a reduction of the problem dimensionality and great parallel scalability. To achieve continuity of the interfacial geometry and its derivatives at the edges of the spectral elements during the droplet deformation, a suitable interfacial smoothing is developed based on a Hermitian-like interpolation. An adaptive mesh reconstructing procedure based on the relevant lengths of the spectral elements is also described. In addition, we consider the.
A modified clean algorithm does L1-denoising

The CLEAN algorithm is one of the best known signal processing algorithms in (radio-)astronomy. It is essentially a deconvolution procedure and is used e.g. to reconstruct a sparse (star) brightness distribution from noisy ('dirty' - hence 'cleaning') observed data. In this paper we make a connection for the first time between CLEAN and l1-denoising. We show CLEAN does a crude version of l1-denoising and develop a modified algorithm with much improved behaviour.
On an Investment-Consumption Model With Transaction Costs

This paper considers the optimal consumption and investment policy for an investor who has available one bank account paying a fixed interest rate and $n$ risky assets whose prices are log-normal diffusions. We suppose that transactions between the assets incur a cost proportional to the size of the transaction. The problem is to maximize the total utility of consumption. Dynamic programming leads to a variational inequality for the value function. Existence and uniqueness of a viscosity solution are proved. The variational inequality is solved by using a numerical algorithm based on policies, iterations, and multigrid methods. Numerical results are displayed for $n=1$ and $n=2$.
Qualification thesis to directing research at the University of the Mediterranean Aix-Marseille II

Born and educated for the most part in the United States, I have enjoyed the luxury of excellent mentorship during my career thus far as an independent scientist in France. All these mentors have taken it on trust that my training for a Ph.D. also included the necessary tools for directing original research responsibly, at all levels. However, the habilitation is an obligate rite of passage for researchers in France, Germany, Sweden and a number of other European countries. It ensures both that I am competent to not only continue to conduct original research, and that I have a directive seam in my research interests over time that is sufficiently rich to support myself and those trainees who will learn from my experience and contribute their efforts by my side to advancing science. To demonstrate that the faith of these esteemed colleagues has been well-placed since my Ph.D., I hereby present, to the best of my ability, my acquired credentials and my near- to mid-term projects.
Measuring the iMpact of Microfinance taking another Look

About the Author Kathleen Odell is an assistant professor of economics at Dominican University's Brennan School of Business in River Forest, Illinois. She conducts research in the areas of economic growth and development. Kathleen holds a PhD in economics and a master's degree in urban planning and policy from the University of Illinois at Chicago. As a Fulbright Scholar, Kathleen studied sustainable development and global policy making at Roskilde Acknowledgements The author is grateful for comments on an earlier draft of this paper from several researchers and practitioners in the microfinance field, including Nigel Biggar, Alex Counts, and Camilla Nestor at Grameen Foundation, as well as a number of external readers. all provided substantive comments which were essential in focusing this report and clarifying a number of points in the text. Thanks also to Grameen Foundation for the opportunity to take on this project and especially for the foundation's insistence that the editorial choices and interpretations presented here be completely my own.
Rapid activation of gill Na(+),K(+)-ATPase in the euryhaline teleost Fundulus heteroclitus.

The rapid activation of gill Na(+),K(+)-ATPase was analyzed in the mummichog (Fundulus heteroclitus) and Atlantic salmon (Salmo salar) transferred from low salinity (0.1 ppt) to high salinity (25-35 ppt). In parr and presmolt, Salmo salar gill Na(+),K(+)-ATPase activity started to increase 3 days after transfer. Exposure of Fundulus heteroclitus to 35 ppt seawater (SW) induced a rise in gill Na(+), K(+)-ATPase activity 3 hr after transfer. After 12 hr, the values dropped to initial levels but showed a second significant increase 3 days after transfer. The absence of detergent in the enzyme assay resulted in lower values of gill Na(+),K(+)-ATPase, and the rapid increase after transfer to SW was not observed. Na(+),K(+)-ATPase activity of gill filaments in vitro for 3 hr increased proportionally to the osmolality of the culture medium (600 mosm/kg > 500 mosm/kg > 300 mosm/kg). Osmolality of 800 mosm/kg resulted in lower gill Na(+),K(+)-ATPase activity relative to 600 mosm/kg. Increasing medium osmolality to 600 mosm/kg with mannitol also increased gill Na(+),K(+)-ATPase. Cycloheximide inhibited the increase in gill Na(+),K(+)-ATPase activity observed in hyperosmotic medium in a dose-dependent manner (10(-4) M > 10(-5) M > 10(-6) M). Actinomycin D or bumetanide in the culture (doses of 10(-4) M, 10(-5) M, and 10(-6) M) did not affect gill Na(+),K(+)-ATPase. Injection of fish with actinomycin D prior to gill organ culture, however, prevented the increase in gill Na(+),K(+)-ATPase activity in hyperosmotic media. The results show a very rapid and transitory increase in gill Na(+),K(+)-ATPase activity in the first hours after the transfer of Fundulus heteroclitus to SW that is dependent on translational and transcriptional processes. J. Exp. Zool. 287:263-274, 2000.
Automatic Fado Music Classification

In late 2011, Fado was elevated to the oral and intangible heritage of humanity by UNESCO. This study aims to develop a tool for automatic detection of Fado music based on the audio signal. To do this, frequency spectrum-related characteristics were captured form the audio signal: in addition to the Mel Frequency Cepstral Coefficients (MFCCs) and the energy of the signal, the signal was further analysed in two frequency ranges, providing additional information. Tests were run both in a 10-fold cross-validation setup (97.6% accuracy), and in a traditional train/test setup (95.8% accuracy). The good results reflect the fact that Fado is a very distinctive musical style.
Vehicle recognition for highway lane survey

A prototype computer vision system and framework for the recognition of vehicles from single images is presented. An appearance based pattern matching algorithm which relies on principal component analysis detects and classifies cars and trucks under geometric constraints (front and back views only) independent of scale and location in an image. Since no motion information is required in order to segment vehicles prior to recognition, the proposed system can be used in situations where extensive lane observation time is not available or motion information is unreliable.
Resource Management for Responsive Web Computing

The exploding demand for services like the World Wide Web re ects the potential that is presented by globally distributed information systems. The number of WWW servers world-wide has doubled every 3 to 5 months since 1993, outstripping even the growth of the Internet. At each of these self-managed sites, the Common Gateway Interface (CGI) and Hypertext Transfer Protocol (HTTP) already constitute a rudimentary basis for contributing local resources to remote collaborations. However, the Web has serious de ciencies that make it unsuited for use as a true medium for metacomputing | the process of bringing hardware, software, and expertise from many geographically dispersed sources to bear on large scale problems. These de ciencies are, paradoxically, the direct result of the very simple design principles that enabled its exponential growth. There are many symptoms of the problems exhibited by the Web: disk and network resources are consumed extravagantly; information search and discovery are di cult; protocols are aimed at data movement rather than task migration, and ignore the potential for distributing computation. However, all of these can be seen as aspects of a single problem: as a distributed system for metacomputing, the Web o ers unpredictable performance and unreliable results.
Ranking on Cross-Domain Manifold for Sketch-Based 3D Model Retrieval

Sketch-based 3D model retrieval algorithms compare a query, a line drawing sketch, and 3D models for similarity by rendering the 3D models into line drawing-like images. Still, retrieval accuracies of previous algorithms remained low, as sets of features, one of sketches and the other of rendered images of 3D models, are quite different, they are said to lie in different domains. A previous approach used semantic labels to establish correspondence between features across inter-domain gap. This approach, however, is prone to over learning if dataset is difficult to learn, i.e., if labeling is sparse and/or if only a small subset of each class is labeled. This paper proposes Cross-Domain Manifold Ranking (CDMR), an algorithm that effectively compares two sets of features that lie in different domains. The proposed algorithm first establishes feature subspace, or manifold, separately in each of the domains. Then, the two feature manifolds are interrelated to form a unified Cross-Domain Manifold (CDM) by using both feature similarity and semantic label correspondence across the domains. Given a query sketch, similarity ranks of 3D models are computed by diffusing relevance value from the sketch over the CDM. Experimental evaluation by using sketch-based 3D model retrieval benchmarks showed that the CDMR is more accurate than state-of-the-art sketch-based 3D model retrieval algorithms.
Global and Local Information in Clustering Labeled Block Models

The stochastic block model is a classical cluster exhibiting random graph model that has been widely studied in statistics, physics, and computer science. In its simplest form, the model is a random graph with two equal-sized clusters, with intracluster edge probability p, and intercluster edge probability q. We focus on the sparse case, i.e., p, q = O(1/n), which is practically more relevant and also mathematically more challenging. A conjecture of Decelle, Krzakala, Moore, and Zdeborová, based on ideas from statistical physics, predicted a specific threshold for clustering. The negative direction of the conjecture was proved by Mossel, Neeman, and Sly (2012), and more recently, the positive direction was independently proved by Massoulié and Mossel, Neeman, and Sly. In many real network clustering problems, nodes contain information as well. We study the interplay between node and network information in clustering by studying a labeled block model, where in addition to the edge information, the true cluster labels of a small fraction of the nodes are revealed. In the case of two clusters, we show that below the threshold, a small amount of node information does not affect recovery. On the other hand, we show that for any small amount of information, efficient local clustering is achievable as long as the number of clusters is sufficiently large (as a function of the amount of revealed information).
Multi-Objective Transit Route Network Design as Set Covering Problem

Many past researchers have ignored the multi-objective nature of the transit route network design problem (TrNDP), recognizing user or operator cost as their sole objective. The main purpose of this study is to identify the inherent conflict among TrNDP objectives in the design process. The conventional scheme for transit route design is addressed. A route constructive genetic algorithm is proposed to produce a vast pool of candidate routes that reflect the objectives of design, and then, a set covering problem (SCP) is formulated for the selection stage. A heuristic algorithm based on a randomized priority search is implemented for the SCP to produce a set of nondominated solutions that achieve different tradeoffs among the identified objectives. The solution methodology has been tested using Mandl's benchmark network problem. The test results showed that the methodology developed in this research not only outperforms solutions previously identified in the literature in terms of strategic and tactical terms of design, but it is also able to produce Pareto (or near Pareto) optimal solutions. A real-scale network of Rivera was also tested to prove the proposed methodology's reliability for larger-scale transit networks. Although many efficient meta-heuristics have been presented so far for the TrNDP, the presented one may take the lead because it does not require any weight coefficient calibration to address the multi-objective nature of the problem.
Adaptive neural network output feedback control for a class of non-strict-feedback nonlinear systems with unknown control coefficients

This paper focuses on the problem of adaptive output feedback tracking control for a class of non-strict-feedback nonlinear systems with unknown control coefficients. By employing a linear state transformation, the original system is transformed to a new system for which control design becomes feasible. Then, after the introduction of a simple input-driven observer, an adaptive output feedback controller which contains only one parameter is developed for such systems by using backstepping technique and variable separation method. The designed controller ensures that all the signals in the closed-loop systems are Semi-globally Uniformly Ultimately Bounded (SGUUB).
Treating drug dependence with the aid of ibogaine: A qualitative study

BackgroundSubstance use disorders are important contributors to the global burden of disease, but current treatments are not associated with high rates of recovery. The lack of approved and effective treatments is acutely problematic for psychostimulants like cocaine and crack cocaine. One promising alternative in the treatment of drug dependence in general and psychostimulants in particular is the use of the psychedelic alkaloid ibogaine combined with psychotherapy. This was recently shown to induce prolonged periods of abstinence in polydrug users, including psychostimulants. However, drug dependence treatments cannot be comprehensively evaluated with reductions in consumption alone, with current recommendations including secondary outcome measures like craving, family and social relationship, quality of life, and self-efficacy.MethodsWe therefore employed a directed approach to qualitative content analysis to evaluate the outcomes of a treatment combining ibogaine with cognitive-behavioral therapy base.
Recent insights into the biology of neuroblastoma

Neuroblastoma (NB) is an embryonal tumor of the sympathetic nervous system which accounts for 8–10% of pediatric cancers. It is characterized by a broad spectrum of clinical behaviors from spontaneous regression to fatal outcome despite aggressive therapies. Considerable progress has been made recently in the germline and somatic genetic characterization of patients and tumors. Indeed, predisposition genes that account for a significant proportion of familial and syndromic cases have been identified and genome‐wide association studies have retrieved a number of susceptibility loci. In addition, genome‐wide sequencing, copy‐number and expression studies have been conducted on tumors and have detected important gene modifications, profiles and signatures that have strong implications for the therapeutic stratification of patients. The identification of major players in NB oncogenesis, including MYCN, ALK, PHOX2B and LIN28B, has enabled the development of new animal models. Our review focuses on these recent advances, on the insights they provide on the mechanisms involved in NB development and their applications for the clinical management of patients.
Galaxy clusters at 0.6-z-1.4 in the UKIDSS ultra deep survey early data release

We present the first cluster catalogue extracted from the UKIRT Infrared Deep Sky Survey Early Data Release. The catalogue is created using UKIDSS Ultra Deep Survey infrared J and K data combined with 3.6 µm and 4.5 µm Spitzer bands and optical BV Rizimaging from the Subaru Telescope over 0.5 square degrees in the Subaru XMM-Newton Deep Field. We have created a new cluster-detection algorithm, based on the Friends-Of-Friends and Voronoi Tessellation methods, which utilises probability distribution functions derived from a photometric redshift analysis. We employ mock catalogues to understand the selection effects and contamination associated with the algorithm. The cluster catalogue contains 13 clusters at redshifts 0.61 6 z 6 1.39 with luminosities 10L ∗ � Ltot � 50L ∗ , corresponding to masses 5 × 10 13 M⊙ � Mcluster � 3 × 10 14 M⊙ for M/M ⊙ L/L⊙ = 75h. The measured sky surface density of � 10 deg −2 for high-redshift (z = 0.5 1.5), massive (> 10 14 M⊙) clusters is precisely in line with theoretical predictions presented by Kneissl et al. (2001).
DILIMOT: discovery of linear motifs in proteins

Discovery of protein functional motifs is critical in modern biology. Small segments of 3–10 residues play critical roles in protein interactions, post-translational modifications and trafficking. DILIMOT (DIscovery of LInear MOTifs) is a server for the prediction of these short linear motifs within a set of proteins. Given a set of sequences sharing a common functional feature (e.g. interaction partner or localization) the method finds statistically over-represented motifs likely to be responsible for it. The input sequences are first passed through a set of filters to remove regions unlikely to contain instances of linear motifs. Motifs are then found in the remaining sequence and ranked according to a statistic that measure over-representation and conservation across homologues in related species. The results are displayed via a visual interface for easy perusal. The server is available at
WEAR PROMOTED IN THE APICAL THIRD OF SIMULATED CANALS AFTER INSTRUMENTATION WITH PROTAPER UNIVERSAL SYSTEM

Objective: This study evaluated the wear in the apical third of simulate canals after preparation with ProTaper Universal Rotary System. Material and Methods: 24 sets of instruments were used in 24 simulated canals in transparent epoxy resin blocks with degree of curvature of either 20°or 40°. The canals were photographed preoperatively and after preparation of the apical stop with ProTaper F3, F4 and F5 instruments. The initial and final images were exported to Adobe Photoshop® software and superimposed to detect the root canal wall differences (in mm) between them, in two points located 1 (A) and 5 (B) mm from the point where the working length was established. Data were subjected to analysis of variance to verify the existence of interaction among the factors: canal curvature, instrument size and curve location. Significant level was set at 5%. Results: Regardless of the location and the canal curvature, F4 and F5 instruments produced the greatest wear (p<0.05). Conclusions: There was a deviation from the original pathway towards the outside of the root curvature in both analyzed points. All instruments produced canal transportation, but the F4 and F5 instruments produced more than the other instruments, and should thus be used with care in curved canals.
Extending the Global Acculturation Model to Untangle the Culture Mixing Puzzle

Today’s globalized environment exposes people to culture mixing—mixing of iconic symbols of different cultures in the same space at the same time. Findings on individuals’ exposure to culture mixing provide evidence for both exclusionary and inclusionary responses. In this article, we focus on the growing phenomenon of culture mixing of global and local symbols and artifacts. We generate a conceptual model to identify who is likely to respond in what way to the mixed cultural environment and why. To answer these questions, we build on the global acculturation model, which aims to explain individuals’ adaptation to the global environment by considering the relative strength of their local and global identities. We extend this model by considering not only the two entities’ relative strength but also their balance—the degree of symmetry between the identities’ strength. We propose that individuals with dominant (unbalanced) identity types (global or local) will exhibit negative and exclusionary responses to culture mixing, whereas individuals with balanced identity types (glocal or marginal) will exhibit positive and inclusionary responses to culture mixing. We also incorporate the concept of bicultural identity integration (BII) to suggest that individuals with high identification with both cultures (glocals) and with high BII will exhibit more inclusive responses than glocals with low BII. Theoretical and practical implications are discussed.
Parthenolide Inhibits Cancer Stem-Like Side Population of Nasopharyngeal Carcinoma Cells via Suppression of the NF-κB/COX-2 Pathway

Cancer stem cells play a central role in the pathogenesis of nasopharyngeal carcinoma and contribute to both disease initiation and relapse. In this study, cyclooxygenase-2 (COX-2) was found to regulate cancer stem-like side population cells of nasopharyngeal carcinoma cells and enhance cancer stem-like cells' characteristics such as higher colony formation efficiency and overexpression of stemness-associated genes. The regulatory effect of COX-2 on cancer stem-like characteristics may be mediated by ABCG2. COX-2 overexpression by a gain-of-function experiment increased the proportion of side population cells and their cancer stemness properties. The present study also demonstrated that in contrast to the classical chemotherapy drug 5-fluorouracil, which increased the proportion of side population cells and upregulated the expression of COX-2, parthenolide, a naturally occurring small molecule, preferentially targeted the side population cells of nasopharyngeal carcinoma cells and downregulated COX-2. Moreover, we found that the cancer stem-like cells' phenotype was suppressed by using COX-2 inhibitors NS-398 and CAY10404 or knocking down COX-2 with siRNA and shRNA. These findings suggest that COX-2 inhibition is the mechanism by which parthenolide induces cell death in the cancer stem-like cells of nasopharyngeal carcinoma. In addition, parthenolide exhibited an inhibitory effect on nuclear factor-kappa B (NF-κB) nucler translocation by suppressing both the phosphorylation of IκB kinase complex and IκBα degradation. Taken together, these results suggest that parthenolide may exert its cancer stem cell-targeted chemotherapy through the NF-κB/COX-2 pathway.