Miracle-dz/UniFAR-FTUs huggingface dataset:
Title of dissertation : LONG TIME STABILITY OF ROTATIONAL EULER DYNAMICS

Title of dissertation: LONG TIME STABILITY OF ROTATIONAL EULER DYNAMICS Bin Cheng Doctor of Philosophy, 2007 Dissertation directed by: Professor Eitan Tadmor Department of Mathematics, CSCAMM We study the stabilizing effect of rotational forcing in the nonlinear setting of two-dimensional shallow-water and Euler equations. We prove that when rotational force dominates the pressure, it prolongs the life-span of smooth solutions for t . 1 + ln(δ−1) where δ 1 is the ratio of the (inverse of) squared Froude number measuring the amplitude of pressure, relative to the (inverse of) Rossby number, measuring the dominant rotational force. The strong rotation also imposes certain periodicity to the flow in the sense that there exists a “nearby” periodic-in-time approximation of the exact solution. In the opposite regime of large δ’s, the flow is dispersive so that the divergence field substantially decays in finite time and therefore periodicity is not retained. LONG TIME STABILITY OF ROTATIONAL EULER DYNAMICS
PKS2250−41: a case study for triggering★

We present the results of a multiwavelength study of the z= 0.31 radio source PKS2250−41. Integral field unit and long-slit spectroscopy obtained using VIMOS and FORS1 on the VLT, and archival Hubble Space Telescope optical imaging observations are used to study the morphology, kinematics and ionization state of the extended emission-line region (EELR) surrounding this source, and also a companion galaxy at a similar redshift. Near-infrared imaging observations obtained using the New Technology Telescope are used to analyse the underlying galaxy morphologies. The EELR displays a complex variety of different gas kinematics and ionization states, consistent with a mixture of radio source shocks and active galactic nucleus (AGN) photoionization. The radio galaxy is likely to lie within a group environment, and is plausibly undergoing interactions with one or more other objects. The disc-like galaxy to the north-east of the radio source lies at a similar redshift to the radio galaxy itself, and has its major axis position angle aligned with the filamentary continuum and line emission extending outwards from the radio galaxy. This filamentary structure is most plausibly interpreted as a tidal structure associated with an interaction involving the radio source host galaxy and the aligned companion galaxy to the north-east; this encounter may have potentially triggered the current epoch of radio source activity. Overall, PKS2250−41 displays some of the best evidence that radio source activity can be triggered in this manner. While the environment and recent interactions of a radio galaxy can have some bearing on its subsequent evolution, our data also highlight the varied means by which the radio source can effect changes in adjacent objects. Our IFU and long-slit spectroscopy confirm the presence of radio source shocks within the western radio lobe, and, together with our continuum observations, add further weight to the presence of a faint continuum source coincident with the secondary hotspot in the western radio lobe. On the basis of our multiwavelength observations of this object, we suggest that the radio source has indeed triggered recent star formation within this faint companion.
Lateral and End-On Kinetochore Attachments Are Coordinated to Achieve Bi-orientation in Drosophila Oocytes

In oocytes, where centrosomes are absent, the chromosomes direct the assembly of a bipolar spindle. Interactions between chromosomes and microtubules are essential for both spindle formation and chromosome segregation, but the nature and function of these interactions is not clear. We have examined oocytes lacking two kinetochore proteins, NDC80 and SPC105R, and a centromere-associated motor protein, CENP-E, to characterize the impact of kinetochore-microtubule attachments on spindle assembly and chromosome segregation in Drosophila oocytes. We found that the initiation of spindle assembly results from chromosome-microtubule interactions that are kinetochore-independent. Stabilization of the spindle, however, depends on both central spindle and kinetochore components. This stabilization coincides with changes in kinetochore-microtubule attachments and bi-orientation of homologs. We propose that the bi-orientation process begins with the kinetochores moving laterally along central spindle microtubules towards their minus ends. This movement depends on SPC105R, can occur in the absence of NDC80, and is antagonized by plus-end directed forces from the CENP-E motor. End-on kinetochore-microtubule attachments that depend on NDC80 are required to stabilize bi-orientation of homologs. A surprising finding was that SPC105R but not NDC80 is required for co-orientation of sister centromeres at meiosis I. Together, these results demonstrate that, in oocytes, kinetochore-dependent and -independent chromosome-microtubule attachments work together to promote the accurate segregation of chromosomes.
Socio-Technical Change, Institutional Entrepreneurship and the Legitimization of Promising Technologies

In dealing with current structural problems derived from unsustainable behaviours, a growing stream of transition research has been elaborated theory and conceptual models for understanding and managing the co-development of technology and society. Niche-based models, such as the multi-level perspective of socio-technical transitions, emphasise the relevance of innovative niches as the locus from where promising technologies emerge. Yet, in practice most such niches remain isolated as experiments, do not become legitimated as market niches nor help produce the expected changes. Drawing upon institutional entrepreneurship theory, this paper stresses that promising technologies have more chances to survive selection mechanisms when entrepreneurs articulate the process of technological development from inside the regimes. It is argued that, due to the fact that they promote divergent changes and acceptance by means of discourse building, mobilising allies, creating networks and legitimising new concepts and meanings, sustainability-driven institutional entrepreneurs have the agency to develop the necessary institutions by acting as catalysts of structural change.
An integrated evaluation model of user satisfaction with social media services

Social media services (SMSs) have been growing rapidly in recent years, and have therefore attracted increasing attention from practitioner and researchers. Social media services refer to the online services provide users with social media applications like Youtube, Facebook, and Wikipedia. Satisfaction is an important construct and user satisfaction is critical to the successful information systems. This study integrated the expectation-confirmation theory (ECT) by introducing perceived social influence and perceived enjoyment in the development of an integrated evaluation model for studying user satisfaction and continuance intention in the context of social media services. Structural equation modeling (SEM) is used to analyze the measurement and structural model. Empirical results show that the proposed model has a good fit in terms of theoretical robustness and practical application. Our findings suggest that the key determinants of user satisfaction with social media service are confirmation, perceived social influence, and perceived enjoyment, while the outcome of user satisfaction is enhanced continuance intention.
An "Emo-Statistical" Model for Flexible Dialogue Management

The involvement of emotions in dialogue design has attracted much interest in current research on human-computer interfaces during the past years. In our work we focus on the implementation of a flexible and robust dialogue system which is able to include emotions and other control parameters in the dialogue flow. Therefore we propose a stochastic approach to model dialogue management including some simplifications to make this model implementable
The Brief Infant-Toddler Social and Emotional Assessment: screening for social-emotional problems and delays in competence.

OBJECTIVE To examine the reliability and validity of the 42-item Brief Infant-Toddler Social and Emotional Assessment (BITSEA), a screener for social-emotional/behavioral problems and delays in competence. METHOD Parents in a representative healthy birth cohort of 1,237 infants aged 12 to 36 months completed the Infant-Toddler Social and Emotional Assessment (ITSEA)/BITSEA, the Child Behavior Checklist (CBCL)/1.5-5, the MacArthur Communication Developmental Inventory vocabulary checklist, and worry questions. In a subsample, independent evaluators rated infant-toddler behavior. RESULTS Test-retest reliability was excellent and interrater agreement (mother/father and parent/child-care provider) was good. Supporting validity, BITSEA problems correlated with concurrent evaluator problem ratings and CBCL/1.5-5 scores and also predicted CBCL/1.5-5 and ITSEA problem scores one year later. BITSEA measures of competence correlated with concurrent observed competence and predicted later ITSEA competence measures. Supporting discriminant validity, only 23% of high BITSEA problem scorers had delayed vocabulary. Moreover, the combined BITSEA problem/competence cutpoints identified 85% of subclinical/clinical CBCL/1.5-5 scores, while maintaining acceptable specificity (75%). CONCLUSIONS Findings support the BITSEA as a screener for social-emotional/behavioral problems and delays in social-emotional competence.
Non-Overlapping Functions for Pyk2 and FAK in Osteoblasts during Fluid Shear Stress-Induced Mechanotransduction

Mechanotransduction, the process by which cells convert external mechanical stimuli such as fluid shear stress (FSS) into biochemical changes, plays a critical role in maintenance of the skeleton. We have proposed that mechanical stimulation by FSS across the surfaces of bone cells results in formation of unique signaling complexes called mechanosomes that are launched from sites of adhesion with the extracellular matrix and with other bone cells [1]. Deformation of adhesion complexes at the cell membrane ultimately results in alteration of target gene expression. Recently, we reported that focal adhesion kinase (FAK) functions as a part of a mechanosome complex that is required for FSS-induced mechanotransduction in bone cells. This study extends this work to examine the role of a second member of the FAK family of non-receptor protein tyrosine kinases, proline-rich tyrosine kinase 2 (Pyk2), and determine its role during osteoblast mechanotransduction. We use osteoblasts harvested from mice as our model system in this study and compared the contributions of Pyk2 and FAK during FSS induced mechanotransduction in osteoblasts. We exposed Pyk2+/+ and Pyk2−/− primary calvarial osteoblasts to short period of oscillatory fluid flow and analyzed downstream activation of ERK1/2, and expression of c-fos, cyclooxygenase-2 and osteopontin. Unlike FAK, Pyk2 was not required for fluid flow-induced mechanotransduction as there was no significant difference in the response of Pyk2+/+ and Pyk2−/− osteoblasts to short periods of fluid flow (FF). In contrast, and as predicted, FAK−/− osteoblasts were unable to respond to FF. These data indicate that FAK and Pyk2 have distinct, non-redundant functions in launching mechanical signals during osteoblast mechanotransduction. Additionally, we compared two methods of generating FF in both cell types, oscillatory pump method and another orbital platform method. We determined that both methods of generating FF induced similar responses in both primary calvarial osteoblasts and immortalized calvarial osteoblasts.
Recent trends in learning of structured and non-standard data

In many application domains data are not given in a classical vector space but occur in form of structural, sequential, relational charac- teristics or other non-standard formats. These data are often represented as graphs or by means of proximity matrices. Often these data sets are also huge and mathematically complicated to treat requesting for new ecient analysis algorithms which are the focus of this tutorial.
Advanced Search Technologies for Unfamiliar Metadata

Abstract : Searching of databases (textual or numeric) is likely to be effective and efficient only if the user is familiar with the classification, categorizing, and indexing schemes (metadata vocabularies) being searched. Therefore, it is obviously beneficial to provide a bridge between the user's ordinary language and the metadata vocabularies of the unfamiliar database to compensate for abbreviated, cryptic, or specialized terminologies. Advanced search technologies would utilize customized "Entry Vocabulary Modules" (EVM) that respond adaptively to the user's ordinary language query with a ranked list of search terms in the target metadata vocabularies that may more accurately represent what is sought in the unfamiliar database. These EVMs can serve both as an indexing device and a search aid. This project has developed EVMs for several metadata vocabularies, including domestic and international patent classifications and U.S. Standard Industrial Classification Codes. An agent-based architecture is under design to lighten the task of cracking alien metadata vocabularies.
Phase field method for mean curvature flow with boundary constraints

This paper is concerned with the numerical approximation of mean curvature flow t! ( t) satisfying an additional inclusion-exclusion constraint 1 ( t) 2. Classical phase field model to approximate these evolving interfaces consists in solving the Allen-Cahn equation with Dirichlet boundary conditions. In this work, we introduce a new phase field model, which can be viewed as an Allen Cahn equation with a penalized double well potential. We first justify this method by a -convergence result and then show some numerical comparisons of these two dierent models. 1991 Mathematics Subject Classification. 49 Q, 35 B, 35 K.
Towards EEG biometrics: pattern matching approaches for user identification

EEG brainwaves have recently emerged as a promising biometric that can be used for individual identification, since those signals are confidential, sensitive, and hard to steal and replicate. In this study, we propose a new stimuli-driven, non-volitional brain responses based framework towards individual identification. The non-volitional mechanism provides an even more secure way in which the subjects are not aware of and thus can not manipulate their brain activities. We present our preliminary investigations based on two pattern matching approaches: Euclidean Distance (ED) and Dynamic Time Warping (DTW). We investigate the performance of our proposed methods using four different visual stimuli and the potential impacts from four different EEG electrode channels. Experimental results show that, the Oz channel provides the best identification accuracy for both ED and DTW methods, and the stimuli of illegal strings and words seem to trigger more distinguishable brain responses. For ED method, the accuracy of identifying 30 subjects could reach over 80%, which is better than the best accuracy of about 68% that can be achieved by DTW method. Our study lays a foundation for future investigation of brainwave-based biometric approaches.
Photogrammetric relative pose estimation with varying and unknown focal length

This paper addresses on the estimation problem of relative pose from two views with the varying and unknown focal length. For statistical optimization, approximated maximum likelihood estimation in the presence of noise and measurement model is proposed under the inter-image epipolar constraint. In order to achieve a direct solution of relative pose, the fundamental matrix is reparameterized with minimal degrees of freedom. Then, we derive the analytical differentiation and adopt the Levenberg-Marquardt algorithm to solve the optimization problem for efficient computation. Experiments show that the proposed method is comparable to bundle adjustment while providing a significant advantage in terms of computational cost.
An Input Sensitive Online Algorithm for LCS Computation

We consider the classic problem of computing (the length of) the longest common subsequence (LCS) between two strings A and B with lengths m and n, respectively. There are several input sensitive algorithms for this problem, such as the O(σn+min{Lm,L(n−L)}) algorithms by Rick [15] and Goeman and Clausen [5] and the O(σn + min{σd, Lm}) algorithms by Chin and Poon [4] and Rick [15]. Here L is the length of the LCS and d is the number of dominant matches between A and B, and σ is the alphabet size. These algorithms require O(σn) time preprocessing for both A and B. We propose a new fairly simple O(σm + min{Lm,L(n − L)}) time algorithm that works in online manner: It needs to preprocess only A, and it can process B one character at a time, without knowing the whole string B beforehand. The algorithm also adapts well to the linear space scheme of Hirschberg [6] for recovering the LCS, which was not as easy with the above-mentioned algorithms. In addition, our scheme fits well into the context of incremental string comparison [12,10]. The original algorithm of Landau et al. [12] for this problem uses O(σm + Lm) space. By using our scheme instead, the space usage becomes O(σm + min{Lm,L(n − L)}).
Study of Comments on Official Movie Blogs

This study employed content analysis to investigate the attributes of comments on official movie weblogs (blogs), and the possible influences of these attributes on the consumers or companies of the blog. The analysis of 1500 comments on official movie blogs indicated that subjective comments allow the blog companies to recognize consumer attitudes toward movies. Emotional comments positively increase the hit rate of blogs. Moreover, paralinguistic devices enhance emotional comments, and dialogues enhance the interaction of blogs. The results serve as a reference for movie blog companies and other online companies concerned with blog operation and management.
1,25-Dihydroxyvitamin D3 Induces LL-37 and HBD-2 Production in Keratinocytes from Diabetic Foot Ulcers Promoting Wound Healing: An In Vitro Model

Diabetic foot ulcers (DFU) are one of the most common diabetes-related cause of hospitalization and often lead to severe infections and poor healing. It has been recently reported that patients with DFU have lower levels of antimicrobial peptides (AMPs) at the lesion area, which contributes with the impairment of wound healing. The aim of this study was to determine whether 1,25-dihydroxyvitamin D3 (1,25 (OH)2 D3) and L-isoleucine induced HBD-2 and LL-37 in primary cultures from DFU. We developed primary cell cultures from skin biopsies from 15 patients with DFU and 15 from healthy donors. Cultures were treated with 1,25 (OH)2D3 or L-isoleucine for 18 h. Keratinocytes phenotype was identified by western blot and flow cytometry. Real time qPCR for DEFB4, CAMP and VDR gene expression was performed as well as an ELISA to measure HBD-2 and LL-37 in supernatant. Antimicrobial activity, in vitro, wound healing and proliferation assays were performed with conditioned supernatant. The results show that primary culture from DFU treated with 1,25(OH)2D3, increased DEFB4 and CAMP gene expression and increased the production of HBD-2 and LL-37 in the culture supernatant. These supernatants had antimicrobial activity over E. coli and induced remarkable keratinocyte migration. In conclusion the 1,25(OH)2D3 restored the production of AMPs in primary cell from DFU which were capable to improve the in vitro wound healing assays, suggesting their potential therapeutic use on the treatment of DFU.
Rapid Detection of Carbapenem Resistance in Acinetobacter baumannii Using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry

Rapid detection of carbapenem-resistant Acinetobacter baumannii strains is critical and will benefit patient care by optimizing antibiotic therapies and preventing outbreaks. Herein we describe the development and successful application of a mass spectrometry profile generated by matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) that utilized the imipenem antibiotic for the detection of carbapenem resistance in a large series of A. baumannii clinical isolates from France and Algeria. A total of 106 A. baumannii strains including 63 well-characterized carbapenemase-producing and 43 non-carbapenemase-producing strains, as well as 43 control strains (7 carbapenem-resistant and 36 carbapenem-sensitive strains) were studied. After an incubation of bacteria with imipenem for up to 4 h, the mixture was centrifuged and the supernatant analyzed by MALDI-TOF MS. The presence and absence of peaks representing imipenem and its natural metabolite was analyzed. The result was interpreted as positive for carbapenemase production if the specific peak for imipenem at 300.0 m/z disappeared during the incubation time and if the peak of the natural metabolite at 254.0 m/z increased as measured by the area under the curves leading to a ratio between the peak for imipenem and its metabolite being <0.5. This assay, which was applied to the large series of A. baumannii clinical isolates, showed a sensitivity of 100.0% and a specificity of 100.0%. Our study is the first to demonstrate that this quick and simple assay can be used as a routine tool as a point-of-care method for the identification of A. baumannii carbapenemase-producers in an effort to prevent outbreaks and the spread of uncontrollable superbugs.
Price-Setting Behaviour in Belgium: What Can Be Learned from an Ad Hoc Survey ?

(*) (**) This paper has been developed within the scope of the "Eurosystem Inflation Persistence Network". We thank participants in this network, in particular Jordi Gali, Andy Levin, Steve Cecchetti and colleagues from other central banks conducting similar surveys, as well as participants in the 27th CIRET conference in Warsaw, where the paper was presented, for their useful comments. Moreover, we have received valuable comments from two anonymous referees. We would also like to express our gratitude to the section Short-term Indicators of the National Bank of Belgium, in particular Jean-Paul Vonck, for its comments on the draft version of the questionnaire, as well as for conducting the survey and treating the results. Finally we thank the respondents of the nearly 2,000 firms for their kind participation in this survey.
An Algorithm for Point Correspondences Based on Laplacian Spectra of Graphs

This paper presents a novel algorithm of correspondence matching of point-sets by using Laplacian spectra of graphs. We make three contributions. Firstly, according to the two point sets to be matched, we define a Laplacian matrix with Euclidean distance, and give a closed form solution in terms of the matching matrix constructed on the vectors of eigenspace of the Laplacian matrix. Secondly, we theoretically prove that the algorithm acquires exact results under equilong or equiform transformation of image plane. Thirdly, we demonstrate how to combine this method with the algorithm of probabilistic relaxation. Experimental results of real-world data show that our method possesses comparatively high accuracy