Miracle-dz/UniFAR-FTUs huggingface dataset:
Indirect Adaptive Robust Control Of Nonlinear Systems With Application To Electro-Mechanical/Hydraul

Palmer, Andrew P., M.S., Purdue University, August, 2000. Indirect Adaptive Robust Control of Nonlinear Systems with Application to Electro-Mechanical/Hydraulic Systems. Major Professor: Dr. Bin Yao, School of Mechanical Engineering. The focus of the thesis is on the nonlinear model based control of systems with unknown parameters and uncertain nonlinearities. The objective is to maximize the achievable performance of a controlled system and to obtain accurate parameter estimates for other purposes. This is achieved by integrating the excellent output tracking performance achieved by the recently proposed direct adaptive robust control with the good parameter estimation process of indirect adaptive designs. Two types of indirect adaptive robust controllers (IARC) are rst constructed. The methods are based on the recently proposed modularized adaptive backstepping designs with zswapping and x-swapping estimation algorithms. However, there are some signi cant di erences in terms of the fundamental view of the problem and the use of parameter adaptation. The modularized adaptive backstepping designs assume the system free of disturbances and uncertain nonlinearities. This may cause problems in application due to unavoidable disturbances and uncertain nonlinearities. The proposed methods, in contrast, use available knowledge of the physical bounds of unknown parameters, along with preset adaptation rate limits, to construct projection type parameter estimation algorithms with rate limits for a controlled estimation process. By doing so, a guaranteed transient performance and nal tracking accuracy is achieved even in general, regardless of the estimation algorithm used. In addition, the theoretical performance of the adaptive designs is preserved. An integrated direct/indirect adaptive robust controller (DIARC) is then developed that combines the excellent transient performance of the direct ARC designs with the good parameter estimation process of the IARC designs. The three controllers are applied to a linear motor system to
Structural fingerprints of electronic change in the phase-change-material: Ge2Sb2Te5

In this paper, we generate a-Ge2Sb2Te5 models via ab initio molecular dynamic simulations, track the dynamic changes of network at 500 K, and correlate the structural changes in the course of the simulation with changes in electronic structure. Considerable fluctuations of the electronic gap are observed even for a model in equilibrium. We compare our study to experiments and other simulations.
Research on Web Information Extraction Based on XML

The standard XML technology is used for Web information extraction in this paper, and a generic XML-based Web information extraction solution is proposed. In the extraction process, two key technologies are proposed and implemented: the XML-based Web data conversion technology and the DOM-based XPath generation technology, to simplify the information extraction work. XSLT is used as the description language of extraction rules, which is conductive to the unity of extraction patterns.
Role of bronchopulmonary lavage in the treatment of respiratory failure: a review.

large part of our therapeutic effort in the A ,,en, of respiratory failure is directed at enhancing the clearance of secretions from the lung. Such procedures as nasotracheal suctioning, tracheostomy, bronchoscopy, chest physiotherapy and postural drainage are used with varying degrees of success. Over the last few years, we have gained experience with the technique of volume controlled bronchopulmonary lavage which can remove large quantities of material from the airways and alveoli in a short period of time. Although the procedure was first reported in 1965,' published clinical experience remains limited. In view of the potential applications of this procedure in the treatment of respiratory failure, it seems appropriate to review the technical, physiologic and clinical aspects of bronchopulmonary lavage at this time.
Early Embryonic Lethality of Mice Lacking ZO-2, but Not ZO-3, Reveals Critical and Nonredundant Roles for Individual Zonula Occludens Proteins in Mammalian Development

ABSTRACT ZO-1, ZO-2, and ZO-3 are closely related scaffolding proteins that link tight junction (TJ) transmembrane proteins such as claudins, junctional adhesion molecules, and occludin to the actin cytoskeleton. Even though the zonula occludens (ZO) proteins are among the first TJ proteins to have been identified and have undergone extensive biochemical analysis, little is known about the physiological roles of individual ZO proteins in different tissues or during vertebrate development. Here, we show that ZO-3 knockout mice lack an obvious phenotype. In contrast, embryos deficient for ZO-2 die shortly after implantation due to an arrest in early gastrulation. ZO-2−/− embryos show decreased proliferation at embryonic day 6.5 (E6.5) and increased apoptosis at E7.5 compared to wild-type embryos. The asymmetric distribution of prominin and E-cadherin to the apical and lateral plasma membrane domains, respectively, is maintained in cells of ZO-2−/− embryos. However, the architecture of the apical junctional complex is altered, and paracellular permeability of a low-molecular-weight tracer is increased in ZO-2−/− embryos. Leaky TJs and, given the association of ZO-2 with connexins and several transcription factors, effects on gap junctions and gene expression, respectively, are likely causes for embryonic lethality. Thus, ZO-2 is required for mouse embryonic development, but ZO-3 is dispensable. This is to our knowledge the first report showing that an individual ZO protein plays a nonredundant and critical role in mammalian development.
Oxidative Stress and Mitochondrial Dysfunction in Down's Syndrome: Relevance to Aging and Dementia

Genome-wide gene deregulation and oxidative stress appear to be critical factors determining the high variability of phenotypes in Down's syndrome (DS). Even though individuals with trisomy 21 exhibit a higher survival rate compared to other aneuploidies, most of them die in utero or early during postnatal life. While the survivors are currently predicted to live past 60 years, they suffer higher incidence of age-related conditions including Alzheimer's disease (AD). This paper is centered on the mechanisms by which mitochondrial factors and oxidative stress may orchestrate an adaptive response directed to maintain basic cellular functions and survival in DS. In this context, the timing of therapeutic interventions should be carefully considered for the successful treatment of chronic disorders in the DS population.
Characteristics of GaAs Power MESFETs with Double Silicon Ion Implantations for Wireless Communication Applications

GaAs power metal-semiconductor field-effect transistors (MESFETs) were fabricated using direct double silicon (Si) ion implantation technology for wireless communication applications. A 150-μm MESFET had a saturation drain current of 238 mA/mm after Si3N4 passivation. A 15-mm MESFET, when measured under a class-AB condition with a biased drain voltage of 3.4 V and a quiescent drain current of 600 mA, delivered a maximum output power (Pout) of 31.1 dBm and a maximum power-added efficiency (PAE) of 58.0% at a frequency of 1.88 GHz. The MESFET exhibited a Pout of 29.2 dBm with a PAE of 45.0% at the 1-dB gain compression point. The MESFET, when measured under a deep class-B condition with a biased drain voltage of 4.7 V and a quiescent drain current of 50 mA, achieved a maximum Pout of 33.1 dBm and a maximum PAE of 55.9% at 1.88 GHz. The MESFET operating at 4.7 V and 1.88 GHz exhibited a P1dB of 31.8 dBm and an associated PAE of 47.1% at the 1-dB gain compression point. When tested by IS-95 code-division multiple access (CDMA) standard signals and biased at 4.7 V under the deep class-B condition, the MESFET with a Pout of 28 dBm demonstrated an adjacent channel power rejection (ACPR) of –31.2 dBc at +1.25 MHz apart from the 1.88 GHz center frequency and –45.7 dBc at +2.25 MHz.
Interactive Multi-View Facade Image Editing

We propose a system for generating high-quality approximated façade ortho-textures based on a set of perspective source photographs taken by a consumer hand-held camera. Our approach is to sample a combined orthographic approximation over the façade-plane from the input photos. In order to avoid kinks and seams which may occur on transitions between different source images, we introduce color adjustment and gradient domain stitching by solving a Poisson equation in real-time. In order to add maximum control on the one hand and easy interaction on the other, we provide several editing interactions allowing for user-guided post-processing.
The Textbook Didn’t Mention That: An Intercultural Experiential Exercise in Business Communication

Although many global MBA programs teach intercultural communication, what happens when the method for teaching that concept becomes mostly experiential? To answer that question, the authors took two very similar classes, both composed of working adults, a Business Communications course in Germany and a Managerial Communications course in the United States, and joined the students into a project that spread over several weeks and had a purposely vague deliverable. While the students believed that the policies and presentations were the most important aspect of the project, the actual aim of this exercise was for them to learn about intercultural communication by doing it. Based on weekly debriefs and a final debrief, group presentations, and individual papers, we concluded that students had increased their understanding of intercultural communication far beyond what they would have gained by merely studying intercultural theory.
Applications of fuzzy logic to software metric models for development effort estimation

Software metrics are measurements of the software development process and product that can be used as variables (both dependent and independent) in models for project management. The most common types of these models are those used for predicting the development effort for a software system based on size, complexity, developer characteristics, and other metrics. Despite the financial benefits from developing accurate and usable models, there are a number of problems that have not been overcome using the traditional techniques of formal and linear regression models. These include the nonlinearities and interactions inherent in complex real-world development processes, the lack of stationarity in such processes, over-commitment to precisely specified values, the small quantities of data often available, and the inability to use whatever knowledge is available where exact numerical values are unknown. The use of alternative techniques, especially fuzzy logic, is investigated and some usage recommendations are made.
MODELLING CHARACTER LEGIBILITY

The process by which humans distinguish visually between letters of the alphabet is a matter of considerable theoretical and practical interest. On the theoretical side, it is a classical problem in psychology, and has served as a test case for numerous theories of feature analysis and pattern recognition. On the practical side, it is relevant to the effective design of any textual display. Furthermore, principles discovered in the study of letter recognition may generalize to the perception of other types of displayed information.
Micronutrient Levels and Supplement Intake in Pregnancy after Bariatric Surgery: A Prospective Cohort Study

Background Studies report frequent micronutrient deficiencies after bariatric surgery, but less is known about micronutrient levels of pregnant women after bariatric surgery. Objective To prospectively evaluate micronutrient levels and supplement intake in pregnancy following bariatric surgery. Design A multicenter prospective cohort study including women with restrictive or malabsorptive types of bariatric surgery. Nutritional deficiencies, together with supplement intake, were screened during pregnancy. Results The total population included 18 women in the restrictive and 31 in the malabsorptive group. Most micronutrients were depleted and declined significantly during pregnancy. The proportion of women with low vitamin A and B-1 levels increased to respectively 58 and 17% at delivery (P = 0.005 and 0.002). The proportion of women with vitamin D deficiency decreased from 14% at trimester 1 to 6% at delivery (P = 0.030). Mild anemia was found in respectively 22 and 40% of the women at trimester 1 and delivery. In the first trimester, most women took a multivitamin (57.1%). In the second and third trimester, the majority took additional supplements (69.4 and 73.5%). No associations were found between supplement intake and micronutrient deficiencies. Conclusion Pregnant women with bariatric surgery show frequent low micronutrient levels. Supplementation partially normalizes low levels of micronutrients.
RtrASSoc 51-rI 2 C a reconfigurable Inter Integrated Circuit

This paper describe the rI2C, a CORE of a reconfigurable Inter Integrated Circuit I2C to be included in the RtrASSoc51, an Adaptable, Superscalar, Reconfigurable System on Programmable Chip, that is currently used in embedded applications to recognize objects in a Boolean neural network. The rI2C is a specific implementations of the I2C protocol that can be reconfigured on the rate of communication. Originally defined by 100kbits, 400kbits or 3.4Mbits, the rI2C can be use one of them, depends on the application running in RtrASSoc51. Some results of implementations are presented on this paper.
Critical points of the black-hole potential for homogeneous special geometries

We extend the analysis of N = 2 extremal Black-Hole attractor equations to the case of special geometries based on homogeneous coset spaces. For non-BPS critical points (with non vanishing central charge) the (Bekenstein-Hawking) entropy formula is the same as for symmetric spaces, namely four times the square of the central charge evaluated at the critical point. For non homogeneous geometries the deviation from this formula is given in terms of geometrical data of special geometry in presence of a background symplectic charge vector.
Enzymic removal of 5-methylcytosine from poly(dG-5-methyl-dC) by HeLa cell nuclear extracts is not by a DNA glycosylase.

A recent report in this journal [Vairapandi, M. and Duker, N.J. (1993) Nucleic Acids Res. 21, 5323-5327) presented evidence of an activity in HeLa cell nuclear extracts that released radiolabeled material from a poly(dG.dC) polymer that had been methylated and simultaneously labeled on cytosine residues by incubation with a CpG-specific DNA methylase and [methyl-3H]S-adenosylmethionine. Based on chromatographic evidence that the released products were thymine and 5-methylcytosine and on f1p4olabeling data suggesting a concomitant increase in abasic sites, the authors concluded that the releasing activity was a 5-methylcytosine-specific glycosylase and that the solubilized 5-methylcytosine was converted to thymine by a nuclear deaminase. We have confirmed that HeLa nuclear extracts promote release of ethanol-soluble radioactivity from a methyl-labeled poly(dG-5-methyl-dC)polymer, but the products released were neither 5-methylcytosine nor thymine. Furthermore, free 5-methylcytosine was not deaminated by incubation with the nuclear extract. The labeled compound released initially from the polymer appeared to be 5-methyl-deoxycytidine monophosphate, which was converted to 5-methyl-deoxycytidine, thymidine monophosphate, and/or thymidine by further incubation with the nuclear extract. The activity responsible for the release, therefore, was a nuclease. Release of 32P-labeled nucleotides from a 32P-labeled poly(dG-dC) polymer suggested, furthermore, that the activity was not specific for methylated DNA.
A Comparative Study of Various Brain Tumor Detection Algorithms

In recent years, medical image researches for brain tumor detection are attaining more curiosity since the augmented need for efficient and objective evaluati on of large amounts of data. Medically, tumors are also known as neoplasms, which are an abnormal mass of tissue res ulting from uncontrolled proliferation or division of cells happening in the human body. If such growth is loca ted within the brain, then it is called as brain tu mor. Numerous researchers have made the noteworthy survey of the field of medical imaging and soft computing for bra in tumor classification. This paper congregates representati ve works that demonstrate how artificial intelligen ce (AI) is applied and, which are used frequently to classify the brain tumor images from the normal brain images.
Distributed Parallel Processing Based on Master/Worker Model in Heterogeneous Computing Environment

Due to the complexity and varying requirements of the applications to utilize large-scale computing resources, there are several issues such as aggregating heterogeneous computing resources, easy-touse programming model and fault-tolerant mechanism that need to be addressed. This paper presents a general distributed parallel processing architecture based on master/worker model, and it can aggregate various heterogeneous computing resources without coupling to any specific hardware and architecture. On this basis, we implement a general framework based on TSpaces for large-scale distributed computation of problems that feature coarse-grained parallelization. Furthermore, we present a dynamic managing mechanism of voluntary computing resources in unreliable environment. The experiment results indicate that our implementation has preferable performance, and can achieve high availability and reliability in the environment of dynamic changing resources and unreliable loose-coupling networks.
Input and literacy effects in simultaneous and sequential bilinguals: The performance of Albanian–Greek-speaking children in sentence repetition

Aim: The present study examines input and literacy effects in simultaneous and sequential bilinguals with the aim of (a) investigating the differences between bilingual and monolingual populations and (b) disentangling the individual contribution of different factors in bilingual syntactic abilities. Methodology: A sentence repetition task (SRT) in Greek with eight structures (Subject Verb Object [SVO], negative clauses, clitic structures, complement clauses, coordinated sentences, adverbial clauses, wh-questions and relative clauses) was employed. All bilinguals additionally participated in a standardized expressive vocabulary task in Greek to measure their lexical ability. Data: Sixty 8–10-year-old children (20 monolingual, 20 simultaneous and 20 late sequential bilinguals) were tested. Findings: The analysis showed that (a) monolinguals outperform sequential bilinguals in sentence repetition, (b) clitic structures are highly problematic for all participants, (c) vocabulary and syntactic skills are closely related for simultaneous but not for sequential bilinguals, (d) home language practices in the early years affect SRT performance and (e) sequential bilinguals benefit from literacy practices that support syntactic skills in the language tested. Overall, we found that the effect of input overrides the effect of a traditionally categorical factor in bilingualism: age of onset (AoO) of exposure to L2. Originality: The contribution of this study includes (a) the examination of syntactic abilities in bilinguals in connection with language input early in life and at the time of testing, (b) the non-pervasive role of age of exposure to the L2 in SRT performance and (c) the role of literacy measures as key factors affecting syntactic skills in bilinguals. Implications: Quality of input and literacy in particular have been shown to affect bilingual syntactic skills, suggesting that enhancing literacy exposure as a language policy for bilinguals has a significantly positive impact on language development.
Multiple Opposing Constraints Govern Chromosome Interactions during Meiosis

Homolog pairing and crossing over during meiosis I prophase is required for accurate chromosome segregation to form euploid gametes. The repair of Spo11-induced double-strand breaks (DSB) using a homologous chromosome template is a major driver of pairing in many species, including fungi, plants, and mammals. Inappropriate pairing and crossing over at ectopic loci can lead to chromosome rearrangements and aneuploidy. How (or if) inappropriate ectopic interactions are disrupted in favor of allelic interactions is not clear. Here we used an in vivo “collision” assay in budding yeast to test the contributions of cohesion and the organization and motion of chromosomes in the nucleus on promoting or antagonizing interactions between allelic and ectopic loci at interstitial chromosome sites. We found that deletion of the cohesin subunit Rec8, but not other chromosome axis proteins (e.g. Red1, Hop1, or Mek1), caused an increase in homolog-nonspecific chromosome interaction, even in the absence of Spo11. This effect was partially suppressed by expression of the mitotic cohesin paralog Scc1/Mdc1, implicating Rec8's role in cohesion rather than axis integrity in preventing nonspecific chromosome interactions. Disruption of telomere-led motion by treating cells with the actin polymerization inhibitor Latrunculin B (Lat B) elevated nonspecific collisions in rec8Δ spo11Δ. Next, using a visual homolog-pairing assay, we found that the delay in homolog pairing in mutants defective for telomere-led chromosome motion (ndj1Δ or csm4Δ) is enhanced in Lat B–treated cells, implicating actin in more than one process promoting homolog juxtaposition. We suggest that multiple, independent contributions of actin, cohesin, and telomere function are integrated to promote stable homolog-specific interactions and to destabilize weak nonspecific interactions by modulating the elastic spring-like properties of chromosomes.