Miracle-dz/UniFAR-FTUs huggingface dataset:
Online Estimation of Covariance Parameters using Extended Kalman Filtering and Application to Robot Localization

Abstract This paper presents a novel method for the online estimation of variance parameters regulating the dynamics of a nonlinear dynamic system. The approach exploits and extends classical iterated Kalman filtering equations by propagating an approximation of the marginal posterior of the unknown variances over time. In addition to the theoretical foundations, this manuscript offers also a variety of numerical results. In particular, experiments with data collected both in simulation and with a real robot platform show how the proposed approach efficiently solves a robot localization problem.
Intellectual Production Supervision Perform based on RFID Smart Electricity Meter

This topic develops the RFID intelligent electricity meter production supervision project management system. The system is designed for energy meter production supervision in the management of the project schedule, quality and cost information management requirements in RFID intelligent power, and provide quantitative information more comprehensive, timely and accurate for supervision engineer and project manager management decisions, and to provide technical information for the product manufacturing stage file. From the angle of scheme analysis, design, implementation and test, the system development of production supervision project management system for RFID smart meter project is discussed. Focus on the development of the system, combined with the main business application and management mode at this stage, focuses on the energy meter to monitor progress information, quality information and cost based information on RFID intelligent power management function. The paper introduces the design scheme of the system, the overall client / server architecture, client oriented graphical user interface universal, complete the supervision of project management and interactive transaction information display, the server system of realizing the main program. The system is programmed with C# language and.NET operating environment, and the client and server platforms use Windows operating system, and the database server software uses Oracle. The overall platform supports mainstream information and standards and has good scalability.
Compact bandpass filter with improved stopband characteristics using S-L coupling

A compact bandpass filter (BPF) with improved stopband performance using mixed electric/magnetic (E/M) coupling and Source-Load (S-L) coupling is presented. Due to the cancelling effect of the mixed coupling, a transmission zero (TZs) is employed near the passband. The design is implemented to a circular structure to achieve compact size. For realizing wide stopband characteristic, an extra transmission zero is achieved in the upper stopband owing to the S-L coupling introduced between the input and output port. A new filter centered at 1.08 GHz has been analyzed, simulated and fabricated to verify the validity of the proposed method. The measured results show that there are three finite transmission zeros near the passband, which are located at 0.78 GHz with 53.8 dB rejection, 1.86 GHz with 67.6 dB rejection, 3.01 GHz with 53.6 dB rejection, respectively. The out-of-band rejection better than 30 dB is up to 6 GHz. And the circuit only occupies 13.5×11.5 mm2.
Nanoelectrokinetic radial preconcentrator/extractor based on ion concentration polarization

This paper reported the experimental demonstration of a radial preconcentrator/extractor in a micro/nanofluidic platform based on ion concentration polarization (ICP) phenomena. While various biomolecular preconcentration mechanisms have been developed for BioMEMS applications, an integration with downstream analyzer or an efficient recovery of concentrated sample still remain challenging. Here we designed a simple radial device without complex channel network and one can complete sample preparation steps from the preconcentration of samples to the recovery of concentrated samples with this single platform. Various charged species such as fluorescent dye, dsDNA and polystyrene microparticle are exemplified for the process (preconcentration factor ∼ 10 and throughput ∼ 1 μL/min). This simple device configuration would serve a key component for point-of-care-test applications and biomedical analysis tools.
A generalized Mahalanobis distance for mixed data

A distance for mixed nominal, ordinal and continuous data is developed by applying the Kullback–Leibler divergence to the general mixed-data model, an extension of the general location model that allows for ordinal variables to be incorporated in the model. The distance obtained can be considered as a generalization of the Mahalanobis distance to data with a mixture of nominal, ordinal and continuous variables. Moreover, it includes as special cases previous Mahalanobis-type distances developed by Bedrick et al. (Biometrics 56 (2000) 394) and Bar-Hen and Daudin (J. Multivariate Anal. 53 (1995) 332). Asymptotic results regarding the maximum likelihood estimator of the distance are discussed. The results of a simulation study on the level and power of the tests are reported and a real-data example illustrates the method. r 2003 Elsevier Inc. All rights reserved. AMS 2000 subject classifications: 62E20; 62H12; 62F12
Prosaposin treatment induces PC12 entry in the S phase of the cell cycle and prevents apoptosis: activation of ERKs and sphingosine kinase

We report that prosaposin treatment induced extracellular signal‐regulated kinases (ERKs) and sphingosine kinase activity, increased DNA synthesis, and prevented cell apoptosis. Prosaposin treatment induced pheochromocytoma cells (PC12) to enter the S phase of the cell cycle;this effect was inhibited by the MEK inhibitor PD98059, indicating that prosaposin‐induced ERK phosphorylation is required for stimulation of DNA synthesis. The prosaposin effect was also inhibited by pertussis toxin, indicating that the prosaposin receptor is a G‐protein‐coupled receptor. Prosaposin rescued PC12 cells from apoptosis induced by staurosporine or ceramide. Sphingosine kinase activity was increased by prosaposin treatment. We propose that this effect is a mechanism underlying the proliferative and anti‐apoptotic functions of prosaposin. Prosaposin appears to be a key regulatory factor in the ceramide‐S‐1‐P rheostat, which regulates cell fate. —Misasi, R. , Sorice, M. , Di Marzio, L. , Campana, W. M. , Molinari, S. , Cifone, M. G. , Pavan, A. , Pontieri, G. M. , O'Brien, J. S. Prosaposin treatment induces PC12 entry in the S phase of the cell cycle and prevents apoptosis: activation of ERKs and sphingosine kinase. FASEB J. 15, 467‐474 (2001)
Exploring new audit evidence: the application of process mining in auditing

OF THE DISSERTATION . II ACKNOWLEDGMENTS . IV TABLE OF CONTENTS . VI LIST OF TABLES . IX LIST OF FIGURES . XI CHAPTER 1: INTRODUCTION . 1 CHAPTER 2: PROCESS MINING OF EVENT LOGS: A CASE STUDY EVALUATING INTERNAL CONTROL EFFECTIVENESS . 7 2.
Corrective machine settings of spiral-bevel and hypoid gears with profile deviations

C'est un fait reconnu depuis longtemps que le bruit d'engrenement depend de la forme des profils de dents, et donc de la facon dont le mouvement est transmis d'une paire de dents a la suivante. A cause des distorsions produites par le traitement thermique, de l'ajustement et de l'âge des machines de taillage et meme de l'experience de l'operateur, les profils theoriques de dents sont rarement obtenus, ce qui peut causer du bruit d'engrenement. Dans l'industrie de l'engrenage hypoide, les pignon et roue master sont normalement calcules au moyen d'un logiciel comme le TCA de Gleason. Etant donne que les profils theoriques ne sont habituellement pas obtenus exactement lors du taillage, la portee de contact est differente de celle calculee et les donnees machine du pignon sont modifiees jusqu'a ce qu'une portee de contact acceptable soit produite, ce qui a comme consequence que la definition theorique des profils de reference est perdue. Cet article emploie l'algorithme de «mariage des surfaces» (Surface Match) pour etablir les parametres machine des surfaces des pignon et roue master afin d'obtenir une definition theorique permettant de calculer des corrections de donnees machine incluant les deviations de courbure de profil. Deux applications sont presentees. Tout d'abord, des changements proportionnels sont faits sur un pignon master et les corrections de donnees machines, incluant des deviations de profil de -2 μm a +8 μm, sont calculees et appliquees. Les resultats obtenus montrent que les deviations demandees sont obtenues a l'interieur d'une plage de 1,5 μm des la premiere correction. Dans la seconde application, le profil d'une dent de pignon master, incluant des deviations de profil, est reproduit en employant les outils introduits ci-dessus. Des mesures avant et apres correction montrent une reduction de 7.4 dB des vibrations engendrees en fonctionnement sous charge.
Single‐body residue‐level knowledge‐based energy score combined with sequence‐profile and secondary structure information for fold recognition

An elaborate knowledge‐based energy function is designed for fold recognition. It is a residue‐level single‐body potential so that highly efficient dynamic programming method can be used for alignment optimization. It contains a backbone torsion term, a buried surface term, and a contact‐energy term. The energy score combined with sequence profile and secondary structure information leads to an algorithm called SPARKS (Sequence, secondary structure Profiles and Residue‐level Knowledge‐based energy Score) for fold recognition. Compared with the popular PSI‐BLAST, SPARKS is 21% more accurate in sequence‐sequence alignment in ProSup benchmark and 10%, 25%, and 20% more sensitive in detecting the family, superfamily, fold similarities in the Lindahl benchmark, respectively. Moreover, it is one of the best methods for sensitivity (the number of correctly recognized proteins), alignment accuracy (based on the MaxSub score), and specificity (the average number of correctly recognized proteins whose scores are higher than the first false positives) in LiveBench 7 among more than twenty servers of non‐consensus methods. The simple algorithm used in SPARKS has the potential for further improvement. This highly efficient method can be used for fold recognition on genomic scales. A web server is established for academic users on http://theory.med.buffalo.edu. Proteins 2004. © 2004 Wiley‐Liss, Inc.
Identification of a glucocorticoid‐responsive element in the promoter region of the mouse tyrosine hydroxylase gene

It has been known for nearly 30 years that glucocorticoid receptor stimulation induces increased tyrosine hydroxylase (TH) gene expression. However, the mechanism mediating this effect has remained elusive. Sequences with homology to known glucocorticoid‐responsive elements (GRE) have been identified in the 5′ flanking region of the TH gene of several vertebrate species, but none has been shown to be functional. To identify the GRE element(s) in the TH promoter, we generated chimeric constructs in which different lengths of the 5′ flanking sequences of the mouse TH gene (3.6, 1.1 and 0.8 kb) were ligated to a luciferase reporter gene. Dexamethasone treatment increased luciferase expression only in cells transiently transfected with the construct containing 3.6 kb of the TH 5′ flanking DNA. Co‐administration of mifepristone (RU486), a glucocorticoid receptor antagonist, blocked this effect. We identified a TH‐GRE sequence (5′‐GGCACAGTGTGGTCT) in the mouse 5′ flanking DNA between −2435 and −2421 from the transcription start. Responsiveness to dexamethasone was lost following deletion of this sequence. To determine the ability of this element to function in a heterologous promoter, we prepared a chimeric construct in which the TH‐GRE sequence was cloned just upstream of a minimal thymidine kinase (TK) promoter. Promoter activity was increased 2‐fold in dexamethasone‐treated PC12 cells transfected with the TH‐GRE‐TK construct. These results provide strong evidence that the 15 base‐pair sequence in the 5′ flanking DNA of the mouse TH gene functions as a glucocorticoid response element. This is the first report identifying a functional glucocorticoid response element in the promoter region of the TH gene of any species.
Criteria used to define chronic fatigue syndrome questioned.

PLACEBO RESPONSE? The article, “Conditioned Pharmacotherapeutic Effects: A Preliminary Study,” by Ader R et al. (1) reported that psoriasis can be treated equally well with either regular use of a midpotency topical corticosteroid or with intermittent use of that topical corticosteroid complemented by its moisturizing vehicle, but the study is not informative about the use of placebos or conditioned responses in psoriasis treatment for the following reasons:
The floodplain index : a new approach for assessing the ecological status of river/floodplain systems according to the EU Water Framework Directive

A new method was developed to assess the ecological status of river/floodplain-systems. The approach is based on the requirements of biological assessment laid down in the EU Water Framework Directive, and, therefore, focuses on water bodies and their environs while neglecting truly terrestrial floodplain sections. The following indicator groups have been integrated: molluscs, caddisflies, dragonflies, amphibians, and fish. These groups were chosen to describe species associations representative of all types of floodplain waters along the gradient of hydrological connectivity. Key element of the procedure is the Floodplain Index, which is calculated for each site investigated on the basis of species-specific habitat values expressing the species' habitat preferences. Since species compositions vary according to the hydrological conditions, the water bodies of an investigation area can be characterized according to the index values. The distribution of the index values shows if and to which extent the degree of lateral connectivity is disturbed in the floodplain area. The assessment of the ecological status is based on a comparison between a river-type-specific reference condition and the status quo. The method is presented with an example from a Danube floodplain area in the north of Vienna (Austria).
The Impact of Social Disclosures Within Fixed Rate Peer-to-Peer Lending Markets

All rights reserved. This publication is intended for use solely by faculty, students, and staff of Nova Southeastern University. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, now known or later developed, including but not limited to photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author or the publisher.
Outlier detection based on transitive closure

Outlier detection is an important task in data mining because outliers may bring either new knowledge or potential threats. Much of recent research has focused on measuring the local difference between an outlier and its nearest neighbors, some of which may be unsuitable reference objects. Thus, local difference cannot represent true outlying-ness. On the basis of this conclusion, we propose a new outlying-ness measure that reflects the connectivity of any object to the main body of a data set. For any object p, the outlying-ness is denoted by the connectivity from the k-th most similar neighbor to p. The proposed measure is applicable to arbitrary-density and arbitrarily-shaped data. It is uninfluenced by unsuitable reference objects and effectively identifies outlying clusters without the need for clustering algorithms and additional parameters.
Cancer class prediction: Two stage clustering approach to identify informative genes

Cancer classification is an important research area that has attracted the attention of several research groups over the last decades. However, there has been no general agreed upon approach for assigning tumors to known classes (a.k.a. class prediction). One challenge in microarray analysis, especially in cancerous gene expression profiles, is to identify genes or group of genes that are highly expressed in tumor cells but not in normal cells and vice versa. All of the methods described in the literature deal with features obtained directly from the data. Further, several clustering techniques have been proposed for the analysis of genome expression data, such as k-means, Self organizing maps, etc. However, these methods do not provide information about the influence of a given gene on the overall shape of the clusters. In this paper, we try to generate informative data, which can be more powerful in the classification of genes. We identify a set of reduced features capable of distinguishing between two classes by two stage clustering of genes using fuzzy c-means. In the first stage, the proposed clustering method clusters the original data. In the second stage, it clusters genes in each of the clusters produced from the first stage. We decided on using fuzzy c-means because a fuzzy model fits better gene expression data analysis by having a gene belong to different classes with a degree of membership per class. However, fuzziness parameter m is a major problem in applying fuzzy c-means for clustering. In this approach, we try to better identify the value of the fuzziness parameter when applying fuzzy c-means for microarray data. Support vector machine combined with different kernel functions are used for classification. The results from the experiments conducted on three benchmark data sets (including one multi-class data set) demonstrate the applicability and effectiveness of the proposed approach as compared to the other approaches described in the literature.
Computationally Efficient 3-D Finite-Element-Based Dynamic Thermal Models of Electric Machines

The performance of an electric machine is significantly constrained by temperature. Hence, in order to determine the torque and power capabilities of an electric machine under realtime operating conditions, dynamic knowledge of internal temperatures is required and needs to be estimated in a computationally efficient manner. In this paper, we present a technique for developing computationally efficient thermal models for electric machines that can be used for real-time thermal observers and electrified vehicle powertrain-level simulation and optimization. The technique is based on simulating eigenmodes of the thermal dynamics as determined by 3-D finite-element analysis (FEA). The order of the FE model is then dramatically reduced. The full-order system is decomposed into two parts by using the orthogonality property of the thermal eigenmodes, and only eigenmodes, which are significantly excited, are included in the dynamic model; other eigenmodes are treated as static modes. A large 3-D FEA model can be thus reduced to a small reduced-order model without the necessity of calculating all the eigenmodes. Furthermore, the process of selecting the significantly excited eigenmodes is automatic based on a proposed normalized “extent of excitation” calculation. By using the proposed techniques, the computation time of the model can be dramatically reduced compared with the full-order model while maintaining sufficient accuracy. Experimental results show good agreement between simulation results and measured data.
Rationale and Design of the International Lymphoma Epidemiology Consortium (InterLymph) Non-Hodgkin Lymphoma Subtypes Project.

BACKGROUND Non-Hodgkin lymphoma (NHL), the most common hematologic malignancy, consists of numerous subtypes. The etiology of NHL is incompletely understood, and increasing evidence suggests that risk factors may vary by NHL subtype. However, small numbers of cases have made investigation of subtype-specific risks challenging. The International Lymphoma Epidemiology Consortium therefore undertook the NHL Subtypes Project, an international collaborative effort to investigate the etiologies of NHL subtypes. This article describes in detail the project rationale and design. METHODS We pooled individual-level data from 20 case-control studies (17471 NHL cases, 23096 controls) from North America, Europe, and Australia. Centralized data harmonization and analysis ensured standardized definitions and approaches, with rigorous quality control. RESULTS The pooled study population included 11 specified NHL subtypes with more than 100 cases: diffuse large B-cell lymphoma (N = 4667), follicular lymphoma (N = 3530), chronic lymphocytic leukemia/small lymphocytic lymphoma (N = 2440), marginal zone lymphoma (N = 1052), peripheral T-cell lymphoma (N = 584), mantle cell lymphoma (N = 557), lymphoplasmacytic lymphoma/Waldenström macroglobulinemia (N = 374), mycosis fungoides/Sézary syndrome (N = 324), Burkitt/Burkitt-like lymphoma/leukemia (N = 295), hairy cell leukemia (N = 154), and acute lymphoblastic leukemia/lymphoma (N = 152). Associations with medical history, family history, lifestyle factors, and occupation for each of these 11 subtypes are presented in separate articles in this issue, with a final article quantitatively comparing risk factor patterns among subtypes. CONCLUSIONS The International Lymphoma Epidemiology Consortium NHL Subtypes Project provides the largest and most comprehensive investigation of potential risk factors for a broad range of common and rare NHL subtypes to date. The analyses contribute to our understanding of the multifactorial nature of NHL subtype etiologies, motivate hypothesis-driven prospective investigations, provide clues for prevention, and exemplify the benefits of international consortial collaboration in cancer epidemiology.
Interleukin-12 gene expression in human monocyte-derived macrophages stimulated with Mycobacterium bovis BCG: cytokine regulation and effect of NK cells

Macrophage-derived interleukin-12 (IL-12) is essential for the activation of a protective immune response against intracellular pathogens. In this study, we examined the regulation of IL-12 mRNA expression by monocyte-derived macrophages (MDM) in response to Mycobacterium bovis BCG stimulation. A reverse transcription-PCR assay detected p40 mRNA of IL-12 at 3 h and showed a peak at 6 to 12 h with a subsequent decline. Semiquantitation of mRNA levels by competitive PCR revealed that pretreatment with gamma interferon (IFN-gamma) amplified the expression approximately 100-fold, while pretreatment with tumor necrosis factor alpha (TNF-alpha) or granulocyte-macrophage colony-stimulating factor augmented this expression about 10-fold. In contrast, pretreatment with IL-10 and IL-4 inhibited IL-12 mRNA expression. These results were further confirmed by measuring the p70 bioactive protein level in each conditioned medium by an enzyme-linked immunosorbent assay. Since IL-12 mRNA expression was weak without cytokine pretreatment and IFN-gamma strongly augmented production, we speculated that IFN-gamma might have a role in BCG stimulation of IL-12 mRNA expression. Unexpectedly, the addition of three different kinds of anti-IFN-gamma antibodies and anti-IFN-gamma receptor antibody and the coaddition of anti-TNF-alpha antibody with anti-IFN-gamma receptor antibody all failed to inhibit IL-12 mRNA expression. However, the MiniMACS method used to remove NK cells from a mononuclear cell suspension inhibited the expression of p40 mRNA but not the expression of mRNA of TNF-alpha or IL-1beta. We concluded that the coexistence of NK cells was essential for the induction of IL-12 in MDM stimulated with BCG rather than through the secretion of IFN-gamma.